Tillandsia recurvata microbiome from trees and fences

Tillandsia recurvata microbiome from trees and fences | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Tillandsia recurvata microbiome from trees and fences Josiane Soares Siqueira, Lucas Amoroso Lopes Carvalho, Carlos Henrique Barbosa Santos, and 5 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4745134/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 16 Oct, 2024 Read the published version in Microbial Ecology → Version 1 posted 9 You are reading this latest preprint version Abstract Tillandsia recurvata is an epiphytic plant commonly found in tropical regions and colonizes tree trunks, fences, and power wires. This plant plays an important role in interacting with trees, sharing microorganisms, and performing specific functions in the process of tree colonization. The objective of this study was to evaluate and compare the microbiomes of T. recurvata collected from two different locations (trees and fences) and two plant tissues (leaves and roots). The hypothesis of this study was that the microbiome of plants on the fence is composed of microorganisms that would provide nutritional support to compensate for the lack of nutrients in a particular area. The results showed significant differences in microbial diversity between trees and fences, with trees exhibiting higher richness and more complex microbial networks. Proteobacteria was the most prevalent bacterial phylum, with Actinobacteria and Sphingomonas also playing key roles in nitrogen fixation and plant growth. Fungal communities were similar across locations, with Ascomycota and Basidiomycota being predominant, but Paraconiothyrium and Nigrospora showed significant differences in abundance between trees and fences. Functional analysis indicated similar metabolic profiles across leaf and root samples, with key functions including carbohydrate and amino acid metabolism, stress control, and biofertilization. Microbial Ecology epiphytic plant growth-promoting trees fence Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Figure 7 Figure 8 Introduction Tillandsia recurvata is an atmospheric epiphyte that occupies canopy trees in many parts of tropical America and play a crucial role in a rain and cloud forests [ 1 ]. Epiphytes are a significant element of the forest canopy, and they not only interact with one another, but also with their host plant and the surrounding wildlife (Chaves & Rossatto, 2020). The coexistence of various species that occupy similar ecological roles necessitates precise differentiation of their respective niches, which in turn helps reduce competition between them. This differentiation is often brought about by life-history trade-offs, wherein competitive advantages are gained by superior competitors confined to fewer locations, while colonizers with higher fecundity and broader dispersal ranges are better suited to exploit harsh environments [ 3 ]. Most epiphytic Bromeliaceae obtain mineral nutrients through their leaves via modified trichomes, a process that is facilitated by atmospheric deposition or rainwater flow over their host. Notably, Bromeliaceae represents the only epiphytic lineage within the order Poales and comprises a highly diverse group of plants that encompasses both grasses and sedges [ 4 ]. Colonization of plants by microorganisms is a widely recognized phenomenon, both aboveground in the phyllosphere and belowground in the rhizosphere [ 5 , 6 ]. However, studies examining the bacterial communities of epiphyte plants have been conducted under adverse environmental conditions and have primarily focused on specific plant species [ 5 ]. These studies revealed differences in microbial community composition between plant compartments, species, temporal changes, and biogeographic patterns [ 7 ]. Otherwise, the weather of Jaboticabal, Sao Paulo State, is hot and wet summer, with relatively cold and dry winters with regular rain [ 8 ]. The distribution of T. recurvata colonization usually occurs on trees, fences, or power wires. Numerous studies have employed T. recurvata to identify regions where pollution is caused by human activities and to distinguish areas with superior soil and air quality [ 9 ]. Limited information is available regarding the microbiome of T. recurvata , and it remains uncertain whether this plant serves as a reservoir for microorganisms of agronomic interest, particularly in areas with limited available nutrients, such as fences. Joseph [ 10 ] evaluated some endophytes fungi isolated from T. recurvata and this research demonstrated that of the seven fungal morphotypes analyzed, five were identified as Sordariomycetes through DNA sequencing, revealing a substantial representation of this class within the plant. Phylogenetic analysis using ITS and β-tubulin sequences corroborated the taxonomic classification and uncovered hidden diversity among the isolates, indicating intricate fungal relationships. This study highlights the varied and potentially distinct fungal endophytes present in epiphytic bromeliads such as T. recurvata that can be used for agricultural purposes. Previous research has concentrated on the dynamics of bacterial communities in the phyllosphere to assess the influence of deposited bacteria on plant growth and to enhance the comprehension of their significance in biogeochemical processes [ 11 ]. The present study sought to evaluate and contrast the microbiome of T. recurvata obtained from two distinct locations, that is, the tree and the fence, as well as from two different plant tissues, such as leaves and roots. The hypothesis underlying this study posited that the microbiome of plants located on the fence is composed of microorganisms that would provide nutritional support to compensate for the lack of nutrients in that particular area. Methods Sample collection Ten plants were collected: five from the fence and five from the trees. Each plant was carefully collected using gloves and was transported to the laboratory. The leaves and roots of each plant were thoroughly disinfected and DNA was extracted from the samples. The extracted DNA was then sequenced in a laboratory. The leaves and roots were collected manually using surgical gloves and immediately deposited in sterilized plastic containers. Subsequently, the leaves and roots were placed in a 50 ml conical tube containing 35 ml of phosphate buffer with 0.02% surfactant (Tween 20). The tubes were vortexed for 2 min to separate the root system from the rhizosphere. Then, using sterilized forceps, the leaves and roots were placed on paper towels and transferred to centrifuge tubes (50 ml). Superficial sterilization of the leaves and the roots were performed according to the method described by [ 12 ], with modifications. The plant tissues were maintained in 100% ethanol for 3 min, followed by 2% sodium hypochlorite for 2 min, and 70% ethanol for 3 min. The disinfected plant tissues were washed thrice with sterile distilled water, and the last wash was inoculated onto nutrient agar plates to validate the effectiveness of the superficial sterilization procedure. Plants Identification Plants were collected and identified at the Plant Taxonomy Laboratory of the Department of Biology. Plants were identified using taxonomic keys. DNA extraction from the leaves and roots of epiphytic plants Sterilized leaves and roots were macerated in liquid nitrogen using a sterile mortar and pestle. A PowerMax soil DNA extraction kit (Mo Bio Laboratories, Carlsbad, CA, USA) was used to extract genomic DNA from all samples, according to the manufacturer’s instructions. The concentration of the extracted DNA was determined by fluorometry (Qubit™ 3.0, Invitrogen), and the purity was estimated by calculating the A260/A280 ratio via spectrophotometry (NanoDrop™ 1000, Thermo Fisher Scientific). The V4 hypervariable region of the 16S rRNA gene was amplified using primers 515F (5′-GTGCCAGCMGCCGCGGTAA-3′) and 806R (5′-GGACTACHVGGGTWTCTAAT-3′; [ 13 ]. Three forward primers were used for amplification. These primers were modified by adding degenerate nucleotides (Ns) to the 5′ region to increase the diversity of target sequences [ 14 ]. PCR was performed in 30 cycles using the HotStarTaq Plus Master Mix kit (Qiagen) under the following conditions: 94°C for 3 min, followed by 28 cycles at 94°C for 30 s, 53°C for 40 s, and 72°C for 1 min, and a final elongation step at 72°C for 5 min. PNA clamp sequences (PNA Bio) were added to block amplification of the 16S rRNA gene from the ribosomes and mitochondria. The amplification products were analyzed on a 2% agarose gel to determine the success of amplification and relative intensity of the bands. Amplicons were sequenced using the Illumina MiSeq platform. Data processing The initial evaluation of sequencing data quality was performed using FastQC software (version 0.11.9) [ 15 ]. For more in-depth analysis, USEARCH (version 11.0.667) was used [ 16 ]. The "fastx_info" and "fastq_eestats2" functions were used to examine quality distribution, sequence length, and expected errors. The "search_oligodb" function of the same software was used to identify the presence and location of primers 341F ('5-CCTACGGGNGGCWGCAG-3') and 805R ('5-GACTACHVGGGTATCTAATCC-3'), which delimit the V3-V4 region of the 16S gene rRNA in the analyzed sequences. Next, adjacent primers and barcodes were removed using Atropos (version 1.1.31) [ 17 ]. To ensure data quality, Fastp (version 0.23.2) [ 18 ] was used to remove sequences with an average Phred quality lower than Q25 using the parameter "average_qual 25.” Using the "paired-end" sequencing approach, the sequences were merged using PEAR (version 0.9.11) [ 19 ], with an overlap criterion of at least 10 base pairs (min-overlap 10). Merged readings were processed using the DADA2 pipeline [ 20 ]. The dada2 package (version 1.22.0) was used for integration with R statistical software (version 4.1.2) [ 21 ]. The procedure began with filtering and truncation of the readings by the "filterAndTrim" function, adopting an expected error limit of 2 ("maxEE = 2"). Subsequently, the error probabilities were estimated on a basis using the "learnErrors" function. Based on this error model, the sequences were corrected using the "dada" function, resulting in the identification of amplicon variant sequences (ASVs) specific to each sample. These ASVs were analyzed to remove possible chimeric sequences using the "removeBimeraDenovo" function. For taxonomic classification, ASVs were compared with the SILVA database (version 138.1) [ 22 ], allowing taxonomic identification down to the level of bacteria or archaea. ASVs not classified as such or identified as potential contaminants, including chloroplast and mitochondrial sequences, were excluded from analysis. The counts and taxonomic annotations of the ASVs were exported in the "phyloseq" format (R package "phyloseq" phyloseq, version 1.38.0) [ 23 ]. The phyloseq data were then transformed into compositional data by the function "phyloseq_standardize_otu_abundance" of the R package "metagMisc" (version 0.04) [ 24 ] for microbiome analyses. Descriptive and Statistical Analysis of the Microbiome The efficiency of sampling was evaluated by means of rarefaction curves using "amp_rarecurve" analysis of the R package "ampvis2" (version 2.7.17) [ 25 ]. The samples were then subjected to rarefaction based on the lowest number of sequences found in the library (n = 346,844), and the analyses were conducted using the tables resulting from this rarefaction. Alpha diversity was quantified by examining both species richness (observed and estimated using the Chao1 index) and diversity (Shannon and Gini Simpson indices) using the "alpha" function of the R package "microbiome" (version 1.16.0) [ 26 ]. For comparative analysis of the means, ANOVA was applied, establishing a confidence interval of 95% (p < 0.05). Complementary statistical analyses, including post hoc multiple comparisons between treatments, were performed with the "emmeans" function (R package "emmeans"; version 1.8.9) [ 27 ], adjusting the p-values using the false discovery rate (FDR) method. Beta diversity analysis was performed by calculating the Bray‒Curtis dissimilarity between samples using the "distance" function of the "phyloseq" R package. To determine whether there were significant differences between treatments, PERMANOVA was used, using the "adonis" function of the "vegan" vegan’ R package (version 2.6.2) [ 28 ]. The significance level was set at p < 0.05. To interpret the multidimensional distances, a principal coordinate analysis (PCoA) was performed, and the results were visualized in subsequent graphs. Differentially abundant taxa among the treatments were identified using DESeq2 (package R version 1.34.0) [ 29 ]. A negative binomial model was used to compare the means using the Wald test (adjusted p < 0.05). Visualizations of the aforementioned analyses were prepared in R using the "ggplot2" package (version 3.3.6) [ 30 ]. Structural analysis of the microbiome To evaluate the structural characteristics of microbial communities in response to different treatments, co-occurrence networks were analyzed at the genus level. Pearson's correlation coefficients were calculated using the "corr.test" function of the "psych" R package (version 2.2.5) [ 31 ]. Only significant correlations (p value < 0.05) with a minimum Pearson coefficient of ± 0.75 were considered, with a focus on strongly positive or negative relationships. Additionally, to reduce noise and focus on the relevant genera, only those with a mean relative abundance of at least 0.001% in at least one treatment were included. The construction of networks and analysis of their topological properties were performed using the R package "igraph" (version 1.3.4) [ 32 ]. Topological properties included the total number of correlated genera (number of nodes), total number of links (edges), average and maximum degrees, modularity, number of modules, clustering coefficient, and measures of average and centrality between maxima. The main hubs “hubs" were identified by calculating the "Kleinberg's hubbiness score" [ 33 ], highlighting the taxon with the greatest influence. The raw data can be found in the NCBI Sequence Read Archive (SRA) database under BioProject PRJNA1086858 PRJNA1134710 ( https://www.ncbi.nlm.nih.gov/sra/?term=PRJNA1134710 ). Functional Analysis of the Microbiome To infer the functional potential of microorganisms (16S rRNA only), the program "PICRUSt2" (version 2.5.2; [ 34 ] was used to obtain their presumed capacity in the form of KEGG Orthology (KO) counts per sample. Additionally, the KOs were related to the "PLaBAse" database (version 1.0) ; [ 35 ], which allows mapping functions to pathways relevant in the context of plant-microorganism associations. Differentially abundant functions between conditions were identified using DESeq2 methodology (R package version 1.34.0) [ 29 ], with an adjusted p-value < 0.05. Results The high-throughput sequencing process generated a total of 3,726,967 (16S rRNA) and 3,161,214 (ITS) reads distributed among the different samples analyzed, including the leaves and roots of epiphytic plants with growth support on trees or fences. The data were organized into two sets, 16S rRNA and ITS, each grouped by plant part and growth support conditions. For leaf samples collected from trees, the average raw reads were 295,565.8 16S rRNA and 232,207.4, while for roots, the total values were 391,499 and 334,619 for roots, respectively. After quality control, the retained 16S rRNA sequences were 272,080.60 for leaves and 347,050 for roots. Additional filtering to remove contaminants resulted in 69,549.80 usable reads for leaves and 336,515 usable reads for roots. For samples collected from fences, the average raw reads were 349,855.80 16S rRNA and 265,528.80, 108,360, and 337,914, respectively, for roots. The valid reads post-filtering were 20,982.00, 16S rRNA and 233,110.60 for ITS in leaves, and 68,909 and 281,795, respectively. The remaining reads, after quality control, processing, and filtering of Amplicon Sequence Variants (ASVs), proved to be adequate for capturing the microbial diversity present under different conditions. This conclusion is supported by the stabilization of rarefaction curves (Fig. 1 ), indicating that the sequencing depth achieved was sufficient to represent the diversity of microbial communities under the evaluated conditions. Therefore, even considering the inherent losses during quality control and subsequent data filtering, the obtained sequencing coverage ensures representative sampling of the biodiversity present in the studied samples. Taxonomic Profile Taxonomic analysis of the obtained sequences demonstrated a variation in the classification efficiency across different taxonomic levels and marker types. For 16S rRNA sequences, 95.56% of the reads were classified up to the phylum level, 77.40% up to the family level, 68.46% up to the genus level, and 4.91% up to the species level. These results reflect high accuracy at higher taxonomic levels but considerable limitations in species-level classification, highlighting the inherent difficulties of using 16S rRNA gene markers for finer taxonomic resolution. In contrast, ITS sequences showed even greater efficiency at higher levels, with 99.98% of the reads classified up to the phylum level, 93.27% up to the family level, and 90.01% up to the genus level. Species-level classification also performed better than 16S rRNA, with 24.39% of the reads being correctly assigned. The analysis of Venn diagrams (Fig. 2 ) revealed significant taxon sharing at higher taxonomic levels as well as substantial variations at the ASV level across different conditions. At the phylum level, of a total of 33 phyla, 17 (51.52%) were shared among all conditions, whereas 10 (30.30%) and 1 (3.03%) were exclusive to trees and fences, respectively. At the genus level, out of 681 genera, 182 (26.73%) were shared among all conditions, with 485 (71.22%) and 144 (21.14%) genera exclusive to trees and fences, respectively. Regarding ASVs, out of 8677, 118 (1.36%) were shared among all conditions, while 6197 (71.42%) and 1711 (19.72%) were exclusive to trees and fences, respectively. These results indicate significant conservation of major taxonomic groups among the conditions, whereas differences at the ASV level reflect substantial variations in population composition. Detailed taxonomic analysis revealed the most prevalent taxa in the studied samples, ranging from the phylum to the species level. As an illustrative example of the observed taxonomic diversity, the levels of "Phylum" and "Genus," grouped by condition, are highlighted in Fig. 3 . The composition of the bacterial community varied significantly among the different sampling environments (Fig. 3 A). In the leaf samples, Proteobacteria was the dominant phylum, representing 69.37% of the relative abundance in tree epiphytes and 54.20% in fence epiphytes. This dominance is primarily due to the Sphingomonadaceae family, which constitutes a large part of the community. Actinobacteria and Acidobacteria were also notable, with 6.35% and 11.53% in tree plant leaves and 7.37% and 15.53% in fence plant leaves, respectively. In the root samples, Proteobacteria still dominated, but to a lesser extent, with 46.79% in trees and 62.28% in fences. Actinobacteria made significant contributions, with 27.71% in tree epiphyte roots and 21.14% in fence epiphyte roots, while Acidobacteria made contributions of 6.58% and 1.88% in tree and fence plants, respectively. At the genus level (Fig. 3 B), Sphingomonas was the dominant genus in the leaves, with 11.89% in the trees and 14.80% in the fences. Lichenibacterium was also prevalent, at 8.08% in tree plant leaves and 6.87% in fence plant leaves. Granulicella accounted for 4.09% of tree leaves and 10.37% of fence leaves. In roots, Sphingomonas represented 6.02% of trees and 7.66% of fences, whereas Lichenibacterium and Granulicella had lower proportions. The fungal community composition varied among sampling conditions (Fig. 3 C). In the leaf samples, Ascomycota was the predominant phylum, comprising 98.56% of trees and 98.64% of fences. Basidiomycota were present in lower proportions, with 1.37% in trees and 1.35% in fences. In the roots, Ascomycota dominated with 99.85% of trees and 99.94% of fences, while Basidiomycota had 0.13% and 0.05%, respectively. At the genus level (Fig. 3 D), Paraconiothyrium was the dominant genus in the leaves, with 31.01% in the trees and 59.46% in the fences. Nigrospora was prevalent in 15.45% of the tree leaves and 9.93% of the fence leaves. Diaporthe was notably present in roots, with 19.42% in trees and 3.62% in fences. The results of the alpha diversity analysis showed significant differences in richness and Shannon and Gini-Simpson indices between leaf samples of epiphytic plants grown on trees and fences (Table 2; Fig. 4 ). The leaves of plants grown on trees had higher average values for richness (928.8), Shannon (3.62), and Gini-Simpson (0.89) than the leaves of plants grown on fences, which had averages of 518.2, 2.18, and 0.67, respectively. These differences were statistically significant, with p-values of 0.05 (Richness), 0.003 (Shannon), and 0.014 (Gini-Simpson), indicating greater diversity and balance in the microbial community associated with the leaves of plants on trees. For roots, richness was considerably higher in plants grown on trees (4,077) than in those grown on fences (1,005). The Shannon and Gini-Simpson indices were also higher in the roots of plants on trees, with values of 5.73 and 0.97, respectively, compared to values of 2.54 and 0.59 in plants on fences. These results suggest that epiphytic plants growing on trees support a more diverse and balanced microbial community in both leaves and roots, reflecting the distinct influences of different growth supports on associated microbial communities. Table 2 . Alpha diversity measures by condition. This table shows the averages (for leaves) or values (for roots) of the alpha diversity measures (richness, Shannon index, and Gini-Simpson index) for each group, accompanied by the standard deviation (only for averages, leaves). Principal Coordinates Analysis (PCoA) based on Bray-Curtis distances was used to investigate the similarity of microbial compositions between epiphytic plant samples grown on trees and fences (Fig. 5 ). The PCoA results showed significant separation of samples according to growth support, explaining 26.69%, 20.21%, and 12.66% of the total variability observed in the first three principal axes, respectively, totaling 59.56% of the explained variability. PERMANOVA analysis confirmed the statistical difference between the microbial compositions of epiphytic plants from trees and fences, with a p-value of 0.006, indicating that growth support significantly influenced the structure of microbial communities. Although there was some overlap between the groups, the separation trend observed in the PCoA plots suggests distinct patterns in microbial composition associated with each type of support. Differential abundance analysis revealed 180 differentially abundant (DA) taxa between epiphytic plants grown on trees and fences, comprising 65 bacteria and 115 fungi. These taxa were categorized into one phylum, seven classes, nine orders, 28 families, 76 genera, and 59 species. Among the identified genera, 67 (42 bacterial and 25 fungal) were more abundant in the tree epiphytic plant samples, while nine fungal genera were more abundant in the fence samples (Fig. 6 ). Most DA taxa from tree epiphytes were exclusive to this condition and were not detected in fence samples. Among the genera of agronomic interest, Bradyrhizobium (Log2FC: 24.45; p < 0.001), Azospirillum (Log2FC: 9.29; p = 0.011), and Pseudomonas (Log2FC: 4.82; p = 0.029) were significantly more abundant in tree plants. These results suggest that the growth conditions on trees favor a greater diversity of microbial genera, including taxa with potential agronomic benefits, reflecting the influence of the support environment on the microbial profile of epiphytic plants. Co-occurrence network analysis, based on Pearson correlation coefficients (r = ± 0.75) and a 95% confidence level (p-value < 0.05), revealed considerable differences in the structures of microbial networks associated with epiphytic plants grown on trees and fences (Fig. 7 ) at the genus level. The network associated with trees presented a higher number of nodes (548) and twice the number of edges (22,986) than the fence network, which had 396 nodes and 11,369 edges. Both networks had a low number of negative edges, although the ratio of positive to negative edges was higher in the tree-plant sample network. Additionally, the tree network showed higher values in terms of average and maximum degrees, with an average degree of 83.89 and a maximum degree of 157, compared to an average degree of 57.42 and a maximum degree of 96 in the fence network. The betweenness centrality measures were also higher in the tree network, with an average betweenness of 800.5, and a maximum betweenness of 21,858.51, while the fence network had values of 572.32 and 8,794.68, respectively. The main hubs differed between the networks, with the genus Marmoricola being the main hub in the tree network, and Mucilaginibacter in the fence network. Taken together, these differences reflect the influence of growth support on the structure and interactions of the microbial communities associated with epiphytic plants. Thus, the analysis suggests a more complex and interconnected network in trees. Functional prediction analysis of the microbial communities was performed using the PICRUSt2 program, which predicts functions from 16S rRNA sequences. Principal Component Analysis (PCA) of the annotated functions (KOs) showed considerable overlap in functional composition between different conditions (Fig. 8 A). The first three principal components explained 24.07%, 16.71%, and 14.05% of the total variance, respectively, accounting for 54.83% of the explained variance. The functional profile of the KOs classified in the metabolism class (Fig. 8 B) indicated similar profiles between the leaf and root samples, as well as between plants grown on trees and fences. The most abundant classes were "Carbohydrate Metabolism" (23.45%), "Amino Acid Metabolism" (19.49%), "Cofactor and Vitamin Metabolism" (11.88%), and "Energy Metabolism" (11.32%). Regarding the microbial traits annotated with the PLaBAse database (Fig. 8 C), the functional profile was also similar and conserved among the evaluated conditions. The main functional categories were "Plant System Colonization" (27.4%), "Stress Control | Biocontrol" (19.12%), "Competitive Exclusion | CE" (17.98%), and "Bio-fertilization" (13.9%). The volcano plot (Fig. 8 D) highlights the differentially abundant functions between the leaf samples of plants grown on trees and fences. Although the overall profile is conserved, tree-grown plants exhibited 546 differentially expressed functions (representing 7.74% of the 7050 detected KOs), in contrast to only 170 functions (2.41% of the 7050 detected KOs) that were more expressed in fence plants, indicating a greater functional diversity in tree epiphytic plants. Discussion Taxonomic classification determines the degree of relatedness among organisms. At the phylum level, 33 major taxonomic groups were identified. In all conditions, 17 phyla (51.52%) were shared. Of these, 10 phyla (30.30%) were exclusive to trees and one phylum (3.03%) was exclusive to fences. At the genus level, 681 specific phyla were identified. Under all conditions, 182 genera (26.73%) were shared. A total of 485 genera (71.22%) were exclusive to trees and 144 genera (21.14%) were exclusive to fences. These findings indicate that fences provide less microbial diversity and sharing than do trees. Consequently, it has been suggested that colonizing trees is more advantageous than fencing for epiphytic plants. Many studies have evaluated the distribution of colonization by Tillandsia sp. The study examined the intricate dynamics governing the habitat occupancy of epiphytes, such as T. recurvata , highlighting the significance of host traits, tree size, and spatial configuration in shaping the distribution and abundance of these species. Specifically, this study investigated how factors such as tree size, bark texture, and branch properties influence colonization, providing practical implications for managing and conserving epiphytic plant communities across diverse ecosystems [ 1 ]. Another study showed that T. flexuosa growing on electrical cables in Panama showed slow growth and less successful colonization of plants on cables compared to trees, indicating suboptimal conditions for cable-inhabiting populations [ 36 ]. The present study reinforces that beyond the suboptimal conditions of cable-inhabiting, the microbial diversity was lower than that of the tree. It is fascinating to consider that understanding the complex relationships among various bromeliads can yield valuable insights into the patterns and dynamics of natural communities, particularly in environments with high and low tree densities. The results of this study indicate that positive interactions and high levels of dispersal may have a more significant impact on the assembly of atmospheric bromeliads than local competitive interactions [ 2 ]. Although there was a statistically significant difference in the prevalence of bacterial groups between different locations (trees and fences) and plant tissues (leaves and roots), the bacterial groups were practically the same. The most prevalent phylum is Proteobacteria , which is important in soil ecosystems [ 37 ]. Actinobacteria contribute to the ecosystem and may be involved in atmospheric nitrogen fixation and plant growth [ 38 ]. Sphingomonas is also present, and some members of this genus have the ability to fix atmospheric nitrogen and promote plant growth. Lichenibacterium is another genus that might play a role in plant growth. It is worth noting that the phylum Granulicella has a lower prevalence in tree leaves (4.09%) and a higher prevalence in fence leaves (10.37%) and plays an important role in the health and ecology of lichens [ 39 ]. Likewise, this phylum is the most important when plants live in fences. Regarding the prevalence of fungi, it was observed that the similarity between the locations and plant tissues was higher for fungi than for bacteria. At the phylum level, no significant differences were observed in the prevalence of Ascomycota and Basidiomycota . Ascomycota include species that are either plant pathogens or edible mushrooms [ 40 ], whereas Basidiomycota comprises fungi that play important ecosystem functions and can be both plant pathogens and beneficial fungi [ 41 ]. However, there was a statistically significant difference in the phylum Paraconiothyrium , with a 31.01% prevalence in tree leaves and 59.46% in fence leaves. This genus may play a role in biological control, bioremediation, and antibiotic production [ 42 ]. Additionally, Nigrospora was present in tree leaves at 15.45%, and in fence leaves at 9.93%. This genus may also have biocontrol potential or produce secondary metabolites [ 43 ]. The genus Diaporthe was notably present in the roots, with 19.42% prevalence in tree roots and 3.62% in fence roots. This genus includes endophytic, saprobic, and plant pathogenic fungi, with some species transforming infection-inhibiting factors into their derivatives. This genus includes temperate and tropical species [ 44 ]. It is noteworthy that the plants situated in the tree exhibited a greater significance in terms of microbial diversity than those placed in the fences, as evidenced by the higher values observed in all the indices assessed, namely Richness, Shannon, and Gini-Simpson. These findings raise the question of why plants choose to grow in trees rather than in fences? This outcome suggests that several factors are involved in this process, and it underscores the importance of trees in maintaining ecological balance, as has been discussed in some studies [ 2 , 36 ]. Including genera of agronomic interest, Bradyrhizobium , Azospirillum , and Pseudomonas , the results indicated that these taxa were significantly more abundant in the plant from the trees. These findings suggest that the growth conditions of trees promote a greater diversity of microbial genera, including taxa with potential agronomic benefits. This observation highlights the influence of the support environment on the microbial ecology profiles of epiphytic plants. Co-occurrence analysis revealed that trees displayed a more intricate microbial network with greater connectivity than fences. This suggests that the manner in which plants develop, whether on trees or fences, influences the structure and interactions of associated microorganisms. The microbial communities associated with trees form a more complex network. Gao et al., [ 45 ] found that mixed-species plantations exhibit more robust co-occurrence networks than monocultures, indicating stronger microbial interactions. Furthermore, the study revealed that afforestation with functional traits of different tree species significantly enhanced the microbial structures associated with soil carbon and nitrogen cycling. The results of the present study suggest that the microbial community on plants located on the tree trunk may play an important role in tree health, whereas the microbial community on plants located on the fence is only necessary to support plant growth. On the other hand, the analysis of metabolism class (KOs) results revealed that there were similar profiles between leaf and root samples, as well as between plants on trees and fences. The conservation of these skills is more prevalent in microorganisms, resulting in no discernible variation between the locations where the plants were collected. Conclusion This study found that plants growing on trees displayed a higher microbial diversity and sharing than those growing on fences. Plants on trees are carriers of bacteria, such as Bradyrhizobium , Azospirillum , and Pseudomonas , all of which are of agricultural interest. In addition, the growth conditions of trees appeared to foster a greater variety, and co-occurrence analysis revealed that trees formed a more complex microbial network with greater connectivity than that of fences. This suggests that the place of plant growth, whether on trees or fences, affects the structure and interactions of associated microorganisms and that the plants on trees can be a reservoir for microbes of agricultural interest. Declarations Ethical Approval This article does not contain any studies with human participants or animals performed by any of the authors. Competing Interests The authors declare no competing interests. Author Contribution All the authors contributed in the same way . Acknowledgements We thank CAPES for the scholarship Process Number 001. Data Availability The raw data and analyzed data used during the current study are available from the corresponding author on reasonable request. All the isolated microorganisms were identified using 16 s rRNA gene analysis and deposited in the GenBank as follows: NCBI Sequence Read Archive (SRA) database under BioProject PRJNA1086858 PRJNA1134710 (https://www.ncbi.nlm.nih.gov/sra/?term=PRJNA1134710). References Bernal R, Valverde T, Hernández-Rosas L (2005) Habitat preference of the epiphyte Tillandsia recurvata (Bromeliaceae) in a semi-desert environment in Central Mexico. Can J Bot 83:1238–1247. https://doi.org/10.1139/b05-076 Chaves CJN, Rossatto DR (2020) Unravelling intricate interactions among atmospheric bromeliads with highly overlapping niches in seasonal systems. Plant Biol 22:243–251. https://doi.org/10.1111/plb.13073 Amarasekare P (2003) Competitive coexistence in spatially structured environments: A synthesis. 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J Trop Ecol 26:123–126. https://doi.org/10.1017/S0266467409990459 Barka EA, Vatsa P, Sanchez L et al (2016) Taxonomy, Physiology, and Natural Products of Actinobacteria. Microbiol Mol Biol Rev 80:1–43. https://doi.org/10.1128/mmbr.00019-15 Kielak AM, Barreto CC, Kowalchuk GA et al (2016) The ecology of Acidobacteria: Moving beyond genes and genomes. Front Microbiol 7 Pankratov TA, Grouzdev DS, Patutina EO et al (2020) Lichenibacterium ramalinae gen. nov, sp. nov., Lichenibacterium minor sp. nov., the first endophytic, beta-carotene producing bacterial representatives from lichen thalli and the proposal of the new family Lichenibacteriaceae within the order Rhizobiales. Antonie van Leeuwenhoek. Int J Gen Mol Microbiol 113:477–489. https://doi.org/10.1007/s10482-019-01357-6 Hagee D, Abu Hardan A, Botero J, Arnone JT (2020) Genomic clustering within functionally related gene families in Ascomycota fungi. Comput Struct Biotechnol J 18:3267–3277 Mattila H (2022) Basidiomycota Fungi and ROS: Genomic Perspective on Key Enzymes Involved in Generation and Mitigation of Reactive Oxygen Species. Frontiers in Fungal Biology 3 Martins Alves N, Araújo Guimarães R, Silva Costa Guimarães S et al (2021) A Trojan horse approach for white mold biocontrol: Paraconiothyrium endophytes promotes grass growth and inhibits Sclerotinia sclerotiorum. Biol Control 160. https://doi.org/10.1016/j.biocontrol.2021.104685 Safwan S, Hsiao G, Lee TH, Lee CK (2021) Bioactive compounds from an endophytic fungi Nigrospora aurantiaca. Bot Stud 62. https://doi.org/10.1186/s40529-021-00324-7 López-Moral A, Lovera M, Antón-Domínguez BI et al (2023) Effects of cultivar susceptibility, fruit maturity, and natural wounds on the infection of English walnut (Juglans regia L.) fruits by Botryosphaeriaceae and Diaporthe fungi. J Plant Pathol 105:1391–1401. https://doi.org/10.1007/s42161-023-01492-0 Gao M, Tang F, Wang K et al (2022) Heterogeneity of humic/fulvic acids derived from composts explains the differences in accelerating soil Cd-hyperaccumulation by Sedum alfredii. J Environ Manage 301. https://doi.org/10.1016/j.jenvman.2021.113837 Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 16 Oct, 2024 Read the published version in Microbial Ecology → Version 1 posted Editorial decision: Revision requested 24 Aug, 2024 Reviews received at journal 24 Aug, 2024 Reviews received at journal 19 Aug, 2024 Reviewers agreed at journal 22 Jul, 2024 Reviewers agreed at journal 22 Jul, 2024 Reviewers invited by journal 18 Jul, 2024 Editor assigned by journal 17 Jul, 2024 Submission checks completed at journal 17 Jul, 2024 First submitted to journal 15 Jul, 2024 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4745134","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":336267578,"identity":"734b2bcb-31bc-4890-a5a2-520bc099e340","order_by":0,"name":"Josiane Soares Siqueira","email":"","orcid":"","institution":"São Paulo State University (UNESP)","correspondingAuthor":false,"prefix":"","firstName":"Josiane","middleName":"Soares","lastName":"Siqueira","suffix":""},{"id":336267579,"identity":"9b3cdead-af3a-4384-aa6a-a3703697baae","order_by":1,"name":"Lucas Amoroso Lopes Carvalho","email":"","orcid":"","institution":"São Paulo State University (UNESP)","correspondingAuthor":false,"prefix":"","firstName":"Lucas","middleName":"Amoroso Lopes","lastName":"Carvalho","suffix":""},{"id":336267580,"identity":"9013d6ce-ac9f-4348-95f5-3ae4cc6ff96d","order_by":2,"name":"Carlos Henrique Barbosa Santos","email":"","orcid":"","institution":"State University of São Paulo (UNESP)","correspondingAuthor":false,"prefix":"","firstName":"Carlos","middleName":"Henrique Barbosa","lastName":"Santos","suffix":""},{"id":336267581,"identity":"07dcbdd4-1f6e-4330-b7b3-75ca1221db24","order_by":3,"name":"Edvan Teciano Frezarin","email":"","orcid":"","institution":"São Paulo State University (UNESP)","correspondingAuthor":false,"prefix":"","firstName":"Edvan","middleName":"Teciano","lastName":"Frezarin","suffix":""},{"id":336267582,"identity":"7c173061-7069-42bc-9c2b-df0fb9b5cb09","order_by":4,"name":"Daniel Guariz Pinheiro","email":"","orcid":"","institution":"São Paulo State University (UNESP)","correspondingAuthor":false,"prefix":"","firstName":"Daniel","middleName":"Guariz","lastName":"Pinheiro","suffix":""},{"id":336267583,"identity":"0b3a2810-d3c2-4bf9-a26c-3b4683820c98","order_by":5,"name":"Daniel Nicodemo","email":"","orcid":"","institution":"São Paulo State University (UNESP)","correspondingAuthor":false,"prefix":"","firstName":"Daniel","middleName":"","lastName":"Nicodemo","suffix":""},{"id":336267584,"identity":"d1758bc4-b0d4-41d8-822d-58e44a778438","order_by":6,"name":"Nicolas Desoignies","email":"","orcid":"","institution":"São Paulo State University (UNESP)","correspondingAuthor":false,"prefix":"","firstName":"Nicolas","middleName":"","lastName":"Desoignies","suffix":""},{"id":336267585,"identity":"77914cc7-7924-4fc9-9d46-a3f545e842d7","order_by":7,"name":"Everlon Cid Rigobelo","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA2klEQVRIiWNgGAWjYLCCByCCmcHwAYTLQ4SWBIgWYwMStTAwmEkQpYVfIvnYh4SKOwz87czbqnl32NibM/Ae+4BPi+SMtOQZCWeeMUgcZiu7zXsmLXFnA1/yDHxaDM6cMWZIbDvMYMDMY3abt+1wgsEBHmO8DrM/c/4zXEsxb9t/e4JaDNh7mOFamHnbDjBuIKRF4nibMUPCmcM8QL8US85tS07c2cyXjFcLfzPzY4YPFYfl+PsPb/zwts3O3py99zBeLTCAiAsDZqI0IAMDknWMglEwCkbBcAcAwOJAJdgH+cgAAAAASUVORK5CYII=","orcid":"","institution":"São Paulo State University (UNESP)","correspondingAuthor":true,"prefix":"","firstName":"Everlon","middleName":"Cid","lastName":"Rigobelo","suffix":""}],"badges":[],"createdAt":"2024-07-15 19:42:25","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4745134/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4745134/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1007/s00248-024-02448-2","type":"published","date":"2024-10-16T15:57:45+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":62397632,"identity":"f940f99c-bb85-4228-94ee-635aebc14a38","added_by":"auto","created_at":"2024-08-13 17:44:13","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":72982,"visible":true,"origin":"","legend":"\u003cp\u003eRarefaction curves. This figure shows the relationship between sequencing depth, indicated by the number of sequenced reads, and the identification of new Amplicon Sequence Variants (ASVs). The stabilization of the curve into a plateau indicates that the sequencing coverage achieved is adequate to represent the microbial diversity of the sample.\u003c/p\u003e","description":"","filename":"floatimage1.png","url":"https://assets-eu.researchsquare.com/files/rs-4745134/v1/7486426cff415a2d1d68ae20.png"},{"id":62397637,"identity":"778f130a-05c2-4cbe-921c-ee97fe27eea5","added_by":"auto","created_at":"2024-08-13 17:44:13","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":180714,"visible":true,"origin":"","legend":"\u003cp\u003eVenn diagram of taxonomic sharing among conditions. This diagram displays the sharing of Phyla, Genera, and ASVs among the different conditions. Each set represents a unique and shared diversity of taxonomic categories, providing information on overlaps and exclusivities among the groups.\u003c/p\u003e","description":"","filename":"floatimage2.png","url":"https://assets-eu.researchsquare.com/files/rs-4745134/v1/55d230c1a2df15d49edfd31d.png"},{"id":62397967,"identity":"285fb5be-01b9-464f-86c1-5ae1e650d080","added_by":"auto","created_at":"2024-08-13 17:52:13","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":181663,"visible":true,"origin":"","legend":"\u003cp\u003eTaxonomic profile of relative abundance. This figure presents the distribution of the relative abundances of major phyla (A, C) and genera (B, D) identified in the samples, separated by taxonomic markers (16S rRNA: A, B; ITS: C, D). Taxa with lower abundance were grouped under the category \"Others\" to facilitate visualization and interpretation of the most prevalent ones.\u003c/p\u003e","description":"","filename":"floatimage3.png","url":"https://assets-eu.researchsquare.com/files/rs-4745134/v1/07f1c337ba5c3514d44d54cf.png"},{"id":62397638,"identity":"4bc4853d-f6bf-434e-a800-88f37a392059","added_by":"auto","created_at":"2024-08-13 17:44:13","extension":"jpeg","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":155714,"visible":true,"origin":"","legend":"\u003cp\u003eVisualization of Alpha Diversity Measures. This figure graphically represents the means and standard deviations of the alpha diversity measures (richness, Shannon index, and Gini-Simpson index) for each condition. Asterisks indicate significant differences between conditions (* p ≤ 0.05; ** p ≤ 0.01).\u003c/p\u003e","description":"","filename":"floatimage4.jpeg","url":"https://assets-eu.researchsquare.com/files/rs-4745134/v1/fbd1c2d2db07c51cb4e5f7c7.jpeg"},{"id":62397633,"identity":"5cf01232-2aa5-4094-89be-56ca3d9fd2fe","added_by":"auto","created_at":"2024-08-13 17:44:13","extension":"png","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":51737,"visible":true,"origin":"","legend":"\u003cp\u003eBeta Diversity Analysis using principal coordinate analysis. This figure illustrates the dispersion of samples based on Bray-Curtis distances through combinations of PCoA axes 1 and 2 (left) and PCoA axes 1 and 3 (right). This figure highlights the differences in microbial composition between the conditions.\u003c/p\u003e","description":"","filename":"floatimage5.png","url":"https://assets-eu.researchsquare.com/files/rs-4745134/v1/4d1a501067604f72e5bce790.png"},{"id":62397634,"identity":"3a664122-57cd-49b2-8dd3-daebbb12ab06","added_by":"auto","created_at":"2024-08-13 17:44:13","extension":"png","order_by":6,"title":"Figure 6","display":"","copyAsset":false,"role":"figure","size":154308,"visible":true,"origin":"","legend":"\u003cp\u003eDifferentially Abundant (DA) Genera between Conditions. The graphs display, on the left, the relative abundance and on the right, the mean intensity of the difference (Log2 Fold-Change) of the genera that showed statistically significant differences between the groups (adjusted p-value \u0026lt; 0.05).\u003c/p\u003e","description":"","filename":"floatimage6.png","url":"https://assets-eu.researchsquare.com/files/rs-4745134/v1/069b632d43a95cacb732fe18.png"},{"id":62397640,"identity":"0d7054b4-15c2-411a-97f8-98f456d0cc27","added_by":"auto","created_at":"2024-08-13 17:44:14","extension":"png","order_by":7,"title":"Figure 7","display":"","copyAsset":false,"role":"figure","size":304240,"visible":true,"origin":"","legend":"\u003cp\u003eCo-occurrence Networks of Genera by Condition. Co-occurrence networks of identified genera based on Pearson correlation coefficients (r = ±0.75) and a 95% confidence level (p \u0026lt; 0.05). Positive connections are highlighted in blue and negative connections are highlighted in red, whereas the node fill color indicates the phylum to which the genus belongs.\u003c/p\u003e","description":"","filename":"floatimage7.png","url":"https://assets-eu.researchsquare.com/files/rs-4745134/v1/9d0f02bf986ece9c48e05669.png"},{"id":62397639,"identity":"7caa6882-36fb-45b6-8993-ad89a2f53f6a","added_by":"auto","created_at":"2024-08-13 17:44:14","extension":"png","order_by":8,"title":"Figure 8","display":"","copyAsset":false,"role":"figure","size":134726,"visible":true,"origin":"","legend":"\u003cp\u003eFunctional Composition and Differentially Abundant Metabolic Pathways in Microbial Communities. (A) Principal Component Analysis (PCA) visualizes the distribution of predicted functions (KEGG Orthology [KO]) using PICRUSt2. (B) Functional profile of KOs associated with the metabolic class from KEGG. (C) Functional profile of microbial traits annotated using the plant association and growth promotion function database (PLaBAse). (D) Volcano plots depicting differentially abundant KOs between leaf samples from plants grown on trees (left) and fences (right). These plots highlight statistically significant differences (p \u0026lt; 0.05) between the groups, with a minimum fold-change difference of 2.\u003c/p\u003e","description":"","filename":"floatimage8.png","url":"https://assets-eu.researchsquare.com/files/rs-4745134/v1/0bfb3b239afabc7ed3ebc35c.png"},{"id":67149027,"identity":"c9f1cd28-cc7a-425f-b781-1cd8f659ac05","added_by":"auto","created_at":"2024-10-21 16:11:06","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1586514,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4745134/v1/72431841-edfa-4f8e-a274-443885fa1734.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Tillandsia recurvata microbiome from trees and fences","fulltext":[{"header":"Introduction","content":"\u003cp\u003e \u003cem\u003eTillandsia recurvata\u003c/em\u003e is an atmospheric epiphyte that occupies canopy trees in many parts of tropical America and play a crucial role in a rain and cloud forests [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eEpiphytes are a significant element of the forest canopy, and they not only interact with one another, but also with their host plant and the surrounding wildlife (Chaves \u0026amp; Rossatto, 2020). The coexistence of various species that occupy similar ecological roles necessitates precise differentiation of their respective niches, which in turn helps reduce competition between them. This differentiation is often brought about by life-history trade-offs, wherein competitive advantages are gained by superior competitors confined to fewer locations, while colonizers with higher fecundity and broader dispersal ranges are better suited to exploit harsh environments [\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eMost epiphytic \u003cem\u003eBromeliaceae\u003c/em\u003e obtain mineral nutrients through their leaves via modified trichomes, a process that is facilitated by atmospheric deposition or rainwater flow over their host. Notably, \u003cem\u003eBromeliaceae\u003c/em\u003e represents the only epiphytic lineage within the order \u003cem\u003ePoales\u003c/em\u003e and comprises a highly diverse group of plants that encompasses both grasses and sedges [\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e]. Colonization of plants by microorganisms is a widely recognized phenomenon, both aboveground in the phyllosphere and belowground in the rhizosphere [\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e, \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e]. However, studies examining the bacterial communities of epiphyte plants have been conducted under adverse environmental conditions and have primarily focused on specific plant species [\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e]. These studies revealed differences in microbial community composition between plant compartments, species, temporal changes, and biogeographic patterns [\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e]. Otherwise, the weather of Jaboticabal, Sao Paulo State, is hot and wet summer, with relatively cold and dry winters with regular rain [\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e]. The distribution of \u003cem\u003eT. recurvata\u003c/em\u003e colonization usually occurs on trees, fences, or power wires. Numerous studies have employed \u003cem\u003eT. recurvata\u003c/em\u003e to identify regions where pollution is caused by human activities and to distinguish areas with superior soil and air quality [\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eLimited information is available regarding the microbiome of \u003cem\u003eT. recurvata\u003c/em\u003e, and it remains uncertain whether this plant serves as a reservoir for microorganisms of agronomic interest, particularly in areas with limited available nutrients, such as fences. Joseph [\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e] evaluated some endophytes fungi isolated from \u003cem\u003eT. recurvata\u003c/em\u003e and this research demonstrated that of the seven fungal morphotypes analyzed, five were identified as \u003cem\u003eSordariomycetes\u003c/em\u003e through DNA sequencing, revealing a substantial representation of this class within the plant. Phylogenetic analysis using ITS and β-tubulin sequences corroborated the taxonomic classification and uncovered hidden diversity among the isolates, indicating intricate fungal relationships. This study highlights the varied and potentially distinct fungal endophytes present in epiphytic bromeliads such as \u003cem\u003eT. recurvata\u003c/em\u003e that can be used for agricultural purposes. Previous research has concentrated on the dynamics of bacterial communities in the phyllosphere to assess the influence of deposited bacteria on plant growth and to enhance the comprehension of their significance in biogeochemical processes [\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eThe present study sought to evaluate and contrast the microbiome of \u003cem\u003eT. recurvata\u003c/em\u003e obtained from two distinct locations, that is, the tree and the fence, as well as from two different plant tissues, such as leaves and roots. The hypothesis underlying this study posited that the microbiome of plants located on the fence is composed of microorganisms that would provide nutritional support to compensate for the lack of nutrients in that particular area.\u003c/p\u003e"},{"header":"Methods","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003eSample collection\u003c/h2\u003e \u003cp\u003eTen plants were collected: five from the fence and five from the trees. Each plant was carefully collected using gloves and was transported to the laboratory. The leaves and roots of each plant were thoroughly disinfected and DNA was extracted from the samples. The extracted DNA was then sequenced in a laboratory. The leaves and roots were collected manually using surgical gloves and immediately deposited in sterilized plastic containers. Subsequently, the leaves and roots were placed in a 50 ml conical tube containing 35 ml of phosphate buffer with 0.02% surfactant (Tween 20). The tubes were vortexed for 2 min to separate the root system from the rhizosphere. Then, using sterilized forceps, the leaves and roots were placed on paper towels and transferred to centrifuge tubes (50 ml). Superficial sterilization of the leaves and the roots were performed according to the method described by [\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e], with modifications. The plant tissues were maintained in 100% ethanol for 3 min, followed by 2% sodium hypochlorite for 2 min, and 70% ethanol for 3 min. The disinfected plant tissues were washed thrice with sterile distilled water, and the last wash was inoculated onto nutrient agar plates to validate the effectiveness of the superficial sterilization procedure.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec4\" class=\"Section2\"\u003e \u003ch2\u003ePlants Identification\u003c/h2\u003e \u003cp\u003ePlants were collected and identified at the Plant Taxonomy Laboratory of the Department of Biology. Plants were identified using taxonomic keys.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec5\" class=\"Section2\"\u003e \u003ch2\u003eDNA extraction from the leaves and roots of epiphytic plants\u003c/h2\u003e \u003cp\u003eSterilized leaves and roots were macerated in liquid nitrogen using a sterile mortar and pestle. A PowerMax soil DNA extraction kit (Mo Bio Laboratories, Carlsbad, CA, USA) was used to extract genomic DNA from all samples, according to the manufacturer\u0026rsquo;s instructions. The concentration of the extracted DNA was determined by fluorometry (Qubit\u0026trade; 3.0, Invitrogen), and the purity was estimated by calculating the A260/A280 ratio via spectrophotometry (NanoDrop\u0026trade; 1000, Thermo Fisher Scientific). The V4 hypervariable region of the 16S rRNA gene was amplified using primers 515F (5\u0026prime;-GTGCCAGCMGCCGCGGTAA-3\u0026prime;) and 806R (5\u0026prime;-GGACTACHVGGGTWTCTAAT-3\u0026prime;; [\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e]. Three forward primers were used for amplification. These primers were modified by adding degenerate nucleotides (Ns) to the 5\u0026prime; region to increase the diversity of target sequences [\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e]. PCR was performed in 30 cycles using the HotStarTaq Plus Master Mix kit (Qiagen) under the following conditions: 94\u0026deg;C for 3 min, followed by 28 cycles at 94\u0026deg;C for 30 s, 53\u0026deg;C for 40 s, and 72\u0026deg;C for 1 min, and a final elongation step at 72\u0026deg;C for 5 min. PNA clamp sequences (PNA Bio) were added to block amplification of the 16S rRNA gene from the ribosomes and mitochondria. The amplification products were analyzed on a 2% agarose gel to determine the success of amplification and relative intensity of the bands. Amplicons were sequenced using the Illumina MiSeq platform.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec6\" class=\"Section2\"\u003e \u003ch2\u003eData processing\u003c/h2\u003e \u003cp\u003eThe initial evaluation of sequencing data quality was performed using FastQC software (version 0.11.9) [\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e]. For more in-depth analysis, USEARCH (version 11.0.667) was used [\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e]. The \"fastx_info\" and \"fastq_eestats2\" functions were used to examine quality distribution, sequence length, and expected errors. The \"search_oligodb\" function of the same software was used to identify the presence and location of primers 341F ('5-CCTACGGGNGGCWGCAG-3') and 805R ('5-GACTACHVGGGTATCTAATCC-3'), which delimit the V3-V4 region of the 16S gene rRNA in the analyzed sequences. Next, adjacent primers and barcodes were removed using Atropos (version 1.1.31) [\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e]. To ensure data quality, Fastp (version 0.23.2) [\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e] was used to remove sequences with an average Phred quality lower than Q25 using the parameter \"average_qual 25.\u0026rdquo; Using the \"paired-end\" sequencing approach, the sequences were merged using PEAR (version 0.9.11) [\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e], with an overlap criterion of at least 10 base pairs (min-overlap 10). Merged readings were processed using the DADA2 pipeline [\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e]. The dada2 package (version 1.22.0) was used for integration with R statistical software (version 4.1.2) [\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e]. The procedure began with filtering and truncation of the readings by the \"filterAndTrim\" function, adopting an expected error limit of 2 (\"maxEE\u0026thinsp;=\u0026thinsp;2\"). Subsequently, the error probabilities were estimated on a basis using the \"learnErrors\" function. Based on this error model, the sequences were corrected using the \"dada\" function, resulting in the identification of amplicon variant sequences (ASVs) specific to each sample. These ASVs were analyzed to remove possible chimeric sequences using the \"removeBimeraDenovo\" function. For taxonomic classification, ASVs were compared with the SILVA database (version 138.1) [\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e], allowing taxonomic identification down to the level of bacteria or archaea. ASVs not classified as such or identified as potential contaminants, including chloroplast and mitochondrial sequences, were excluded from analysis. The counts and taxonomic annotations of the ASVs were exported in the \"phyloseq\" format (R package \"phyloseq\" phyloseq, version 1.38.0) [\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e]. The phyloseq data were then transformed into compositional data by the function \"phyloseq_standardize_otu_abundance\" of the R package \"metagMisc\" (version 0.04) [\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e] for microbiome analyses.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec7\" class=\"Section2\"\u003e \u003ch2\u003eDescriptive and Statistical Analysis of the Microbiome\u003c/h2\u003e \u003cp\u003eThe efficiency of sampling was evaluated by means of rarefaction curves using \"amp_rarecurve\" analysis of the R package \"ampvis2\" (version 2.7.17) [\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e]. The samples were then subjected to rarefaction based on the lowest number of sequences found in the library (n\u0026thinsp;=\u0026thinsp;346,844), and the analyses were conducted using the tables resulting from this rarefaction. Alpha diversity was quantified by examining both species richness (observed and estimated using the Chao1 index) and diversity (Shannon and Gini Simpson indices) using the \"alpha\" function of the R package \"microbiome\" (version 1.16.0) [\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e]. For comparative analysis of the means, ANOVA was applied, establishing a confidence interval of 95% (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05). Complementary statistical analyses, including post hoc multiple comparisons between treatments, were performed with the \"emmeans\" function (R package \"emmeans\"; version 1.8.9) [\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e], adjusting the p-values using the false discovery rate (FDR) method. Beta diversity analysis was performed by calculating the Bray‒Curtis dissimilarity between samples using the \"distance\" function of the \"phyloseq\" R package. To determine whether there were significant differences between treatments, PERMANOVA was used, using the \"adonis\" function of the \"vegan\" vegan\u0026rsquo; R package (version 2.6.2) [\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e]. The significance level was set at p\u0026thinsp;\u0026lt;\u0026thinsp;0.05. To interpret the multidimensional distances, a principal coordinate analysis (PCoA) was performed, and the results were visualized in subsequent graphs. Differentially abundant taxa among the treatments were identified using DESeq2 (package R version 1.34.0) [\u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e]. A negative binomial model was used to compare the means using the Wald test (adjusted p\u0026thinsp;\u0026lt;\u0026thinsp;0.05). Visualizations of the aforementioned analyses were prepared in R using the \"ggplot2\" package (version 3.3.6) [\u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e].\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec8\" class=\"Section2\"\u003e \u003ch2\u003eStructural analysis of the microbiome\u003c/h2\u003e \u003cp\u003eTo evaluate the structural characteristics of microbial communities in response to different treatments, co-occurrence networks were analyzed at the genus level. Pearson's correlation coefficients were calculated using the \"corr.test\" function of the \"psych\" R package (version 2.2.5) [\u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e]. Only significant correlations (p value\u0026thinsp;\u0026lt;\u0026thinsp;0.05) with a minimum Pearson coefficient of \u0026plusmn;\u0026thinsp;0.75 were considered, with a focus on strongly positive or negative relationships. Additionally, to reduce noise and focus on the relevant genera, only those with a mean relative abundance of at least 0.001% in at least one treatment were included. The construction of networks and analysis of their topological properties were performed using the R package \"igraph\" (version 1.3.4) [\u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e]. Topological properties included the total number of correlated genera (number of nodes), total number of links (edges), average and maximum degrees, modularity, number of modules, clustering coefficient, and measures of average and centrality between maxima. The main hubs \u0026ldquo;hubs\" were identified by calculating the \"Kleinberg's hubbiness score\" [\u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e33\u003c/span\u003e], highlighting the taxon with the greatest influence. The raw data can be found in the NCBI Sequence Read Archive (SRA) database under BioProject PRJNA1086858 PRJNA1134710 (\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://www.ncbi.nlm.nih.gov/sra/?term=PRJNA1134710\u003c/span\u003e\u003cspan address=\"https://www.ncbi.nlm.nih.gov/sra/?term=PRJNA1134710\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e).\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec9\" class=\"Section2\"\u003e \u003ch2\u003eFunctional Analysis of the Microbiome\u003c/h2\u003e \u003cp\u003eTo infer the functional potential of microorganisms (16S rRNA only), the program \"PICRUSt2\" (version 2.5.2; [\u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e34\u003c/span\u003e] was used to obtain their presumed capacity in the form of KEGG Orthology (KO) counts per sample. Additionally, the KOs were related to the \"PLaBAse\" database (version 1.0) ; [\u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e35\u003c/span\u003e], which allows mapping functions to pathways relevant in the context of plant-microorganism associations. Differentially abundant functions between conditions were identified using DESeq2 methodology (R package version 1.34.0) [\u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e], with an adjusted p-value\u0026thinsp;\u0026lt;\u0026thinsp;0.05.\u003c/p\u003e \u003c/div\u003e"},{"header":"Results","content":"\u003cp\u003eThe high-throughput sequencing process generated a total of 3,726,967 (16S rRNA) and 3,161,214 (ITS) reads distributed among the different samples analyzed, including the leaves and roots of epiphytic plants with growth support on trees or fences. The data were organized into two sets, 16S rRNA and ITS, each grouped by plant part and growth support conditions. For leaf samples collected from trees, the average raw reads were 295,565.8 16S rRNA and 232,207.4, while for roots, the total values were 391,499 and 334,619 for roots, respectively. After quality control, the retained 16S rRNA sequences were 272,080.60 for leaves and 347,050 for roots. Additional filtering to remove contaminants resulted in 69,549.80 usable reads for leaves and 336,515 usable reads for roots. For samples collected from fences, the average raw reads were 349,855.80 16S rRNA and 265,528.80, 108,360, and 337,914, respectively, for roots. The valid reads post-filtering were 20,982.00, 16S rRNA and 233,110.60 for ITS in leaves, and 68,909 and 281,795, respectively.\u003c/p\u003e\n\u003cp\u003eThe remaining reads, after quality control, processing, and filtering of Amplicon Sequence Variants (ASVs), proved to be adequate for capturing the microbial diversity present under different conditions. This conclusion is supported by the stabilization of rarefaction curves (Fig.\u0026nbsp;\u003cspan\u003e1\u003c/span\u003e), indicating that the sequencing depth achieved was sufficient to represent the diversity of microbial communities under the evaluated conditions. Therefore, even considering the inherent losses during quality control and subsequent data filtering, the obtained sequencing coverage ensures representative sampling of the biodiversity present in the studied samples.\u003c/p\u003e\n\u003cdiv id=\"Sec11\"\u003e\n \u003ch2\u003eTaxonomic Profile\u003c/h2\u003e\n \u003cp\u003eTaxonomic analysis of the obtained sequences demonstrated a variation in the classification efficiency across different taxonomic levels and marker types. For 16S rRNA sequences, 95.56% of the reads were classified up to the phylum level, 77.40% up to the family level, 68.46% up to the genus level, and 4.91% up to the species level. These results reflect high accuracy at higher taxonomic levels but considerable limitations in species-level classification, highlighting the inherent difficulties of using 16S rRNA gene markers for finer taxonomic resolution. In contrast, ITS sequences showed even greater efficiency at higher levels, with 99.98% of the reads classified up to the phylum level, 93.27% up to the family level, and 90.01% up to the genus level. Species-level classification also performed better than 16S rRNA, with 24.39% of the reads being correctly assigned.\u003c/p\u003e\n \u003cp\u003eThe analysis of Venn diagrams (Fig.\u0026nbsp;\u003cspan\u003e2\u003c/span\u003e) revealed significant taxon sharing at higher taxonomic levels as well as substantial variations at the ASV level across different conditions. At the phylum level, of a total of 33 phyla, 17 (51.52%) were shared among all conditions, whereas 10 (30.30%) and 1 (3.03%) were exclusive to trees and fences, respectively. At the genus level, out of 681 genera, 182 (26.73%) were shared among all conditions, with 485 (71.22%) and 144 (21.14%) genera exclusive to trees and fences, respectively. Regarding ASVs, out of 8677, 118 (1.36%) were shared among all conditions, while 6197 (71.42%) and 1711 (19.72%) were exclusive to trees and fences, respectively. These results indicate significant conservation of major taxonomic groups among the conditions, whereas differences at the ASV level reflect substantial variations in population composition.\u003c/p\u003e\n \u003cp\u003eDetailed taxonomic analysis revealed the most prevalent taxa in the studied samples, ranging from the phylum to the species level. As an illustrative example of the observed taxonomic diversity, the levels of \u0026quot;Phylum\u0026quot; and \u0026quot;Genus,\u0026quot; grouped by condition, are highlighted in Fig.\u0026nbsp;\u003cspan\u003e3\u003c/span\u003e.\u003c/p\u003e\n \u003cp\u003eThe composition of the bacterial community varied significantly among the different sampling environments (Fig.\u0026nbsp;\u003cspan\u003e3\u003c/span\u003eA). In the leaf samples, \u003cem\u003eProteobacteria\u003c/em\u003e was the dominant phylum, representing 69.37% of the relative abundance in tree epiphytes and 54.20% in fence epiphytes. This dominance is primarily due to the \u003cem\u003eSphingomonadaceae\u003c/em\u003e family, which constitutes a large part of the community. \u003cem\u003eActinobacteria\u003c/em\u003e and \u003cem\u003eAcidobacteria\u003c/em\u003e were also notable, with 6.35% and 11.53% in tree plant leaves and 7.37% and 15.53% in fence plant leaves, respectively. In the root samples, \u003cem\u003eProteobacteria\u003c/em\u003e still dominated, but to a lesser extent, with 46.79% in trees and 62.28% in fences. \u003cem\u003eActinobacteria\u003c/em\u003e made significant contributions, with 27.71% in tree epiphyte roots and 21.14% in fence epiphyte roots, while \u003cem\u003eAcidobacteria\u003c/em\u003e made contributions of 6.58% and 1.88% in tree and fence plants, respectively. At the genus level (Fig.\u0026nbsp;\u003cspan\u003e3\u003c/span\u003eB), \u003cem\u003eSphingomonas\u003c/em\u003e was the dominant genus in the leaves, with 11.89% in the trees and 14.80% in the fences. \u003cem\u003eLichenibacterium\u003c/em\u003e was also prevalent, at 8.08% in tree plant leaves and 6.87% in fence plant leaves. \u003cem\u003eGranulicella\u003c/em\u003e accounted for 4.09% of tree leaves and 10.37% of fence leaves. In roots, \u003cem\u003eSphingomonas\u003c/em\u003e represented 6.02% of trees and 7.66% of fences, whereas \u003cem\u003eLichenibacterium\u003c/em\u003e and \u003cem\u003eGranulicella\u003c/em\u003e had lower proportions.\u003c/p\u003e\n \u003cp\u003eThe fungal community composition varied among sampling conditions (Fig.\u0026nbsp;\u003cspan\u003e3\u003c/span\u003eC). In the leaf samples, \u003cem\u003eAscomycota\u003c/em\u003e was the predominant phylum, comprising 98.56% of trees and 98.64% of fences. \u003cem\u003eBasidiomycota\u003c/em\u003e were present in lower proportions, with 1.37% in trees and 1.35% in fences. In the roots, \u003cem\u003eAscomycota\u003c/em\u003e dominated with 99.85% of trees and 99.94% of fences, while \u003cem\u003eBasidiomycota\u003c/em\u003e had 0.13% and 0.05%, respectively. At the genus level (Fig.\u0026nbsp;\u003cspan\u003e3\u003c/span\u003eD), \u003cem\u003eParaconiothyrium\u003c/em\u003e was the dominant genus in the leaves, with 31.01% in the trees and 59.46% in the fences. \u003cem\u003eNigrospora\u003c/em\u003e was prevalent in 15.45% of the tree leaves and 9.93% of the fence leaves. \u003cem\u003eDiaporthe\u003c/em\u003e was notably present in roots, with 19.42% in trees and 3.62% in fences.\u003c/p\u003e\n \u003cp\u003eThe results of the alpha diversity analysis showed significant differences in richness and Shannon and Gini-Simpson indices between leaf samples of epiphytic plants grown on trees and fences (Table\u0026nbsp;2; Fig.\u0026nbsp;\u003cspan\u003e4\u003c/span\u003e). The leaves of plants grown on trees had higher average values for richness (928.8), Shannon (3.62), and Gini-Simpson (0.89) than the leaves of plants grown on fences, which had averages of 518.2, 2.18, and 0.67, respectively. These differences were statistically significant, with p-values of 0.05 (Richness), 0.003 (Shannon), and 0.014 (Gini-Simpson), indicating greater diversity and balance in the microbial community associated with the leaves of plants on trees.\u003c/p\u003e\n \u003cp\u003eFor roots, richness was considerably higher in plants grown on trees (4,077) than in those grown on fences (1,005). The Shannon and Gini-Simpson indices were also higher in the roots of plants on trees, with values of 5.73 and 0.97, respectively, compared to values of 2.54 and 0.59 in plants on fences. These results suggest that epiphytic plants growing on trees support a more diverse and balanced microbial community in both leaves and roots, reflecting the distinct influences of different growth supports on associated microbial communities.\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eTable\u0026nbsp;2\u003c/strong\u003e. Alpha diversity measures by condition. This table shows the averages (for leaves) or values (for roots) of the alpha diversity measures (richness, Shannon index, and Gini-Simpson index) for each group, accompanied by the standard deviation (only for averages, leaves).\u003c/p\u003e\n \u003cp\u003e\u003cimg 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GN6bCClf/M3B0TRwF7H7GGvG9UeHjp3hMHQa4qRimtgn6nTMG9Mf5kS+eo+ag5JPxXm8rxXxGGNpCgsidY6jXFB441v8dD0X04ZPREK52C9oEvzhaNoVFmMX1BG77z6/gfMhgUgouS78xu0qLJ00AD0pABjjvh+3xVL8evsGzh0nR18uLur7/RMJZo3qA1MTCpDHL0LRjW/wy8fFFFD0x44LUuDObfitnoUeXXti9qbT1If9gYA1U2DZdwLS1TchjfNBzy5dMHrhHnxPjDXOdznMrAfhTE4Frkui4GDFdibk/RfH34eNpQVGzd2Ma6JbrpNPa+Tw2+6BPhR0snTLPhTU6RO7n29/ifSokwiNF9PQgO9xwGMKevQyxuAJbpB/+j3u3CrBlEGOWO+fIlb56WNsnj8O5mYWMCcSdjSzRiwnqSqKx7FTcXVrnVKOb4C5aS9Y9BmJCyrdIlmyEHlaJIIjMnW/gbO7F8PUzAxm5g7YEpIllCX6roSN7RCcL6X+4OcvcMhjOl3THCxVb8f5EqEOk5vqTBw9HokvdMGD9OJB2HGbanJggwV9Rs6D9BabDhMl/fRW0glzwyTCwR42FJeyvzObcXJ224NvdecVBW+HXc+eMLHsjb0xcl0pcEOejqPBUdAtfUNhxB5Ym/WCldM4JGjF0jsfFWNmb4pzDcTCbCdOC2pz8/H6SRFB7vwAWWYUPGaOprjVBDbWVugzei5Kb4lDlF/J4jCaiJ0pEadJ645RJCzK7Y/LcPb4MaTIxdn2O999gpysZAQfCUBhlXg/v94oxAwiryZEcMfM21q3ZpwMEakRwTgapVu68PMt7HObhG7demH2xlN0jT9wbN1UwQ+lqm5CluAHc4qpTS36YEdovnBK9IFlsLEfjmgF+eIfP8PeZZNh3K0bhrhsgc474/cfPiW/eRypCtEv42stFk3oT7H5ozN48ogQOyvY95uGvCv1XqAi43gdsRNTLS2E7ch7knHUohd19izNiaV9BGeKucO48zX2zh8Fx0nrcPnmTZzcNBdmTlNRfJNlSN9B8OrZ6NHxAwxc6IWvmI7/ch0rJ/ZHR6sBCC0VyeD3l7Mxvm8vDJm6u05p4wM3CYGUmYkVtp3MEAv/oADKfSLeefc9TCfFFXOwf8KR1VNhImxlbvh5OTg4HiI0Jna/f4vM6PMIuxgHzY2vqI/4HKEHN2Kkk4OQqmjPUlP6DsclXf2Piy6QkzRGd3JQB6JkQllu6HZ0/aAbXHefwZff3oYk+gj6WXRrQOw+kV1An+6dMH31SZ1j/Q1BmxbAuAsRyllrcFm3dr487SiMO3TGKm9dIItvsGuRMz7sbo3DsSqhJDVwHd569VUMdjsi/P6+LB5ONlbYG68VftfIkrBwbH/0H++Kg/uoL+vRE2tCxED2k6oirJs7GjYDpuKw9x4M6G3Lg1CO/wh9hHV2Fpi0bCekl+tDP1H+gCQ+CEMoWLW2smpA7H75VIbp/U3Qe8wG3NIRo8xT28lnd8GcnefFAgqX107ojZEu3tANxSJm7wpY9TJBL0sbbI4oFAt/+wI7FgxGZ9PJKP1E9M43is9jgKUputn0xZH0CqHsj+8vw93ZFqZ9l6DmB6EIyvgAWHXtghGLdoppeL9+hFVjB6Bzl+5wORAl1PmuKpXiBBv0MDaFq1+8UMY2XgraMBnvdxqMJA31HSTfVmZgTB9bIZ3O0LvieDjBYs4hE1bhiq4fZpJ6crOQMiikIvYWPx/APl/TIC5ln8cx6YX+09xRpRudyzq6BXYUr/aiONg9SNeP//E9/NY4o0PX4UivFCngl9pkjLCzQE/LPgjS6eftqmxMJ1uxoECffSpEH6yfZuvszO0GYseJBHyl25+iToiY+W1wgYUJxcp9RyBa9blQ/FFBFEZZss+QmGLA7G24qTMkRiyN338XzpuO15G9eN8V6PhOB6wMSBAL/riFrVNHCJ9NGDDOFWU6Vno9Lxz9e3VAR5sxSC0TpxA/LjwHB3pHe+LFyZDL8mQsGtcfTuMW49C+zbA07oExy/bjOxaL/3QF7iP6olPXHnD1jRXqf61JwEjrHjAbvxg6c8LVgjPCZM2i7RfFArI5n1WzYGoqLkcw9LdsanhkZuzYws54tah0TKqzQnTEjj2gPWa5bcDRY4E4djQAAQEMxxAUdAwblkxBd8sBOJElErs/PlNg1mhHmFrYoP/AgbAxM8Hk1b4Q++vvcXj5DGHhq+OUtXWBU8SW+ehs0Q/nSm8Kv2uJ3bAZe1E7pldH7ExtsOO0OIKH329iy8Qh6EFB0shpXnWOKDl4C8xNzB65vF8OjkcSjYndTx/h0MatyK2N8u78iEu+q2FKTput92Fre6ycRiFW118xYjfCpDssh0xH0ceih0w9uV3oL9iagsFDh8LJkc5j64P1UjErUv1h1b0zZq8J0s0o/I7QLUtg2rkzHOesx1Xd5QvDvdCzU3esOhAjFuA2DhGxM3EYh7wbPwslqrwY7Nq1Gyej8/DTb7/hzhcqTB/gAJc9tcEwyfef4uyh9ehnb0NO0BRT1gZAPJvkzm0kntyLoX3tYc13JOT4T8HW37Bt2M1M4TjMGdv9z6Ls49p8MSZ3ELZrCcyMjWGsR+y+rUzF6N49MGCCJ2oTaArO7IMt+VjHoROxy/sYfA9sx+KFKxCZpqhb+xq7dyWsKaA2trTDtvPFYuH3V7Byam/0sp2C/Kuis78picEIRuxsnRCQKQZNvxOZnD2MbHPQYmh1a/zLko7D5sNuWBeimwn5pgyLRvVHj569MGXDCTHovXML22YMQ+cexnA7mihUwx9fYvfSoejSaxhidTP939XkYaqjnbDuyuC74ngowdYr9xu9AMraqVeSjDPbxBk7B4pLezth2cY9OBYYhKNCTEqgGDUwMACLJg2G42Q31OjmKmqJnbGFFVaeSBMLf/8cXgsHo6vpSCTpCNc3FZmYYGeJntb9KKYV9bOW2Nk49oWTk1MD9OvrKK5hs7OGqbk1Jsx3x7nkAnxbO+JB8vvnSswf4YCeDiMQpxEHWfSJ3aC52/GJrv6lw27o3qUTxnke1fmkHxGwahI6d+4ODz+d/7nzKbbriN2gCctQoTNrxXkf9O3ZHT1NBiI4WTdo8pkcE/rbYv6uSOG3ID98inOHPckPWVMblth2Nkco/oN81vzh/YTZ+ZlbQ8XlD79+DM+xDjAZu7iOQCpiD8KsS1e4bjuny6j7GUFr58Pc1IITOz15ONbYsXSGs0W6M4DPlHEYpltjxx5y0IiJ2Hc8SXdUlIJwP0wa1hfdrQchJPuKUPZddSYmDRG/N8W+JWJmbIoFm47rZtO+wGZXZ/QkYuc0ayNuiFlSSDi4FF0s/w6xIwWfNgI9qbMfPskTuhgLuWf2wpauyxZ+GnxeDg6OhwcGUjFXjuqLflMouKzN4fr1S/isnE6EyNwgsRtm3BV9x7ijWufIpRe84WBiQkSQOmiWNk5BnYN1o81TMgJh27Mr5qwN1hGs33B6s+tdxK74/C4Yd+6hR+y+xf6F42HZdyqkn4rjqvLkU5g5dTrmzJ6BCROcMWH8GPR3oP7PdjD8YyV1awTJfSIrdA+crE3R06w3tp5IqUtTY6JJCcGIPhRE8FRyjr8L9lHkIUTmDu7GGArq2GYi7IPOfYng7TuZVBd0VqWFoG+vnujRV3/zlAyMc+yFgRM3QDdGgrzTe2BP57Ndsa0dR+HQyURcq1IhIT5THOknidmz4m5i98M1rJnRF8Z6xO7j0ksY3pjYfabAvJGWsNUjdprEQFh/2As7w8QUsd8/lWDKcEf0ZEGnV6guoPwKB5aMQefu+sTuK+xzH4muesTudnUOJnNi1/TABsDshuBsvi5VnkQe5w97UzNxpozqjBw3Byfj61MrWR9+4fAWDKU+1Gnq8j8hdl9gp+swdNMjdl+Xp2N8Y2JXmY7RNr2xM7IQX3zxRQMkB6zDmLlu2ObpKmwkYmVuKkxqOM9diWRJ7X3/DL/lU9HdavCfErvYIyvQs2tnOG8M1PmknxC0bhq6dumBlf7iLBp+/wReBoid+pI/nEzYjGU/BMQoxMJvyrF4eB90M++PIzGlDfxQ9tndsOlphv1Ror3+8lEhJgzpTTZmgnm7deva//gMO2c7odeYemKnSvCBRbduesTuJxxbM48Tu0byvyd2BJaTP2jSSlR/I/7pf/+mEm6jHamjFne9tDLrBYfhLtTx6lTj52tYMbo/erLO3HZIHbH7loxg0iArWOpGna1J0ce47dXlMH+N7UsmkeJ2wcDF2yHGV3/gzMY56GTphLC6EbYsjOvTHQMn7ahLxYwzSOxIwacMF4ndZN3ORCQXfVdSAHj/5+Xg4HhIoCN2UXXEjm2eMgKduphiXUBi3azADzeKMXsY23zBHNYGZuzMB01F7jVxtOh2TTYm9bWAGdu2nQJdtluv/X+V2DnDmM3YXRfPvFEYjn7GndHLzEKYJTGhe7Tr0w+jRg2FjXUfrNwTghvf6EaefqjGwokD4TRkCN2TLeavOQTtrdoVfV9jm+s4mJiLm7NwcPxl2NnAbMB4XCyQYO/CUehpains6GdjZY7u3a3hpUsBrkgORG8idj0fgNhZdumKwTNWQ3mTEbTfcWz1NEx09dXZDRG73f9dYqdNDIJNp65w84sTft/5TI6Zw/sKM3bzDoqpmGwAaMPUIejSYMaOE7tHCZZm5pjscRi1c83fVGTAubc5zG3EXVNNe3THaJft+FIXlv54rQCT7CxE0jNjRT2xC/hPiF0WJtvbYtjk2ViyZEkDTB3phFGrDqAk+xKG2prAytZB2MjFjAiWjdN05NSwfv03HF426R8ndqoLR8gHMWLnhGNx4hKBX67nYcJQRwwaOpj8UG+s2B2C63p+aPYIByzxFdOYf7tZiqlD+ggzdouO6HzdT9ewcow9TPVm7DixezB5KIid8PV8M0vMXeuHmz+KnWtu6C5Y9+wGU3NLmJPC2A+fRx2vcIjkFjwnjxDynXtYDcBxXSrm7co0jOlnCnPddrRsitqyrzMStKL2nVo/Bx++2x5jPA4Js3h/fCHH3OH2ROwG4Wyx2BH/eDUHoxxMsHjvRTHlgiQuYD0ROOOGxO7OF9g9eyQ+6Pghxi31gRDS/fE5ts4bCTPh+3qGnpODg+Nhgj05uK52QxApryV2H2GN82AKQnvA1H4YzuaJg0ZM5LF+sDfugq7Wg3CRLfAm+ajwPIYRsetmZo9tp8S0EhZ8xgZ4wqJ7V1g6jcGGTRsxrp8leg2fjVJdznZlWgDMOn+A6SsDdRkFvyF4nQt6dewI2+mr6lLFiyK2o8v7nbB87yWxgMKMvfPH4cOu1jhwUVzTh9+/QchOVxh37w77IRPhuWENBvQbgIDYDASum4F332mPobO3QOCB36gxeZA9NpyIwYXDq6g/fAd2o1whF76v9xnWzR4OU95/cfxdELEzdhyB2Kof8ENNFiYNsUcvEzNYW1uiK5GlJQeimcLi6JoZ5E9N0MNhMMIknzItxu2qNIyw7QLHMWvrBkqzgrehe4ee2Fc7C/DTdbiP6AOXrRHib5JLO91gQf65p5kVNoQViIVE7FZMtkMXc2fk6hZK3Sg6j0EmvdDZqjd80sR0sTu3iLQNMYZ5XxdodMROHRtAxK4T+k5agSvCAMtnWDPOCe916IrVQWJg/lFhGAbbW6KHMQWiujVBjNjtWjIEHToPRLTu23zfVmZinK0VJ3ZNEcLW/A5Y73MJPwiq8StCdy5GLyIW7JMXbFnPKJdtdZldf9ySYaaTg/BtO8dJS+rW2GX4b4AV+ZOeZmZYdixZLKT4cduCgfig+xAkKEVi95U2hQiXKbqSLzlWt8aOiJ2tGZFCCyHe1YdZrx4YuET8EHr6iU3CzstsN2crCxPyR/2RUPUjfvm4EJP7W6KbzSBc0l3nRn4khpr2gpm5CfpO31w3iHLx0FJ0+bADRq7xE9pkqZj+Kyag4wedsMxbt6bt94+xifwjm9DQJ3YViUFw7NERnSyGIqpEHKhRx/rA2twGfrGZCFo/E+++3V74LMQ15oe+1ZDdWaG382p8xBwgtesxsg/e69gdnjo/eiXnNJzMuhKxW1i3xk4Zdwg9yUe6bArVDbr+iCPLZ8LE+B6b2jRBPELEjoGMyMQCExauQ6qkCr/+dBulqZFYt9QFUybPgNeRcHxDf8lffriNKkkS5o4cQCzdHAMmLoFMF5OBTMx3wwI4ElG01+0iZEXXHj1/MzQ3f8TnmhQsnDUXFwqu4tfb13DIY6bw/SZzc1u474uoGwHUlBRAXi5upsLkRuFFjB/AvsVjpUfsvkdqqDdmTXdBWBHbRehXpJ7Yjt6WFsKOnXc/HwcHx8ME1kcMHjEarpt9cUv0EoJknDqIqWNHwtbMGP0nLEdV7fZmJIUX/bFo2RZU62bU8F0NNs4fDyty2n2GTENMSf2ufOXFmUhMToLvNjfYmJph2hqfut0u/7glxcLJE+FzXkfOSGQXfNCP+quFu8/Wpa2wdUfTx03G2eyruhK6v+Pb0Nu8JxxGzEFGuRhAMlEWZCItKRZblkyDsQk51LQyfHW9DAc3LsW8Ffvx2c+/Ii14K8y6kfM8k4XvPruG4L1rMcNlPcq//BmqxGMYaFP/7TAOjr8MInamA8bhfKEKybFRiIgIw+4tqzF18jSs2R4AzZVruOi3QZjBtrK0xvAZq1FeaxREoLyWTMfKvbUbIwC3pLEY6WCDDcG6TctIKgsSEBKeiG91RnJLk4pZI/vCut+EulkJJuH7l2Pa4r2oGw/+qhzu4/uj94i5KBSiSSY/wc9zPlzWBdVtxvLjlQLMH+mIniaWcN1xGp///BtkRPZmz1sJxc0f8EV1MZZNGEKBsQXsHUfiVK5u8zaS9JCtGD99vY4Qkvx2E9tdqH+wEb//ZfCdcTy0cLC3gZmZDVw8D6C48lP8dPtzpIQHwt1lFqZOnQv/iExhAuDHb7+GJOkkRgsp8H3gcSCsrg//XJGIKUMcYd17JM4V1ad2JgVtxAS2LKg28PzpOjxnjkD/SUsh06XZsyVEB1fMhK21LRp+ZL83bInAjVxxACpNMSIjIxAWchQeFC9Po5g0ICoL1ypLsXbOSPSiOHmCqxeu1ubd366G59yxsDCzhtvhelu7nBeKUY6Dsad21pukOHIfBvQfg9D8eh2/uH8FLIgYso+w1xK7z6oLsXXZAizZIq7P++aaFEucB6CrsQ2OpGrJD5XjEPNDHvtw66dfyU680JvtzEmxt9vec/iKfFPJBV/MdlkLzWc/4lZFARaNGwDjnhaYt7l2HTrw8/V8zJkwEYEJZboS8snn9qO/vZXwiRL999NU8YgROwbxQ+KWDk6YtXQtjgafRGCAH3x9/RB4zB+7vDyxYPpEONqxndvsYWNtj5lLPREYFITAwED69zgCfXZh3LB+sLEVR8iE3YtYqufY2dh35Kiw0DXI/xAWTBtNiq2bvmXf2rDri6WeO6mNYAR578DsmYuxP4AthmU4Cvc5o9Grh0U9sfvlYxx2X4J12w8hiK67ddUiONiQcvH1KRwcTQKsj5i+dB0CjgUh+LiuDwk8juDgIOzd5IEBzKlb2GCG2yZd/xKMUyEnqA85SjYv1mf/7t+yAgPY2iIrC9gNGIV12/Yh6PgJnDl5DB5zJsLawoz6l0FY48X6CrFPCQo6ij27dsH7yDHddanMfz9mODtj/S4fvXrU7+3chSP+4u/AQLqu7y5MGO4obLfONqfYvIfqB4fg7MkAuM4YJ3y709rBkYKGuZg73xU7D/nC/+gx7Fy7GI721rC0scPoabMwZ+4COvcg/Ol5DmxbhcF9WT9o+GO4HBwPBPLLdv2HYd6CuehrY4r+o6dg657D8PXxJR9+BB7zJsHK1Aw2FLywNOEFK7wEGxJ0m/49sG839h/0Q1CtTQQdw9IZw2HXbwy2HwqgsqPY6D4PTv0HY/mWA0Kd7Z5u6Ec+fNwMd9E+dHZyxHsfdu0+rGdLgdiwZBamu6xqcM3DB/dgzz59mwvE2sVTdB/8t8GEOW7wo/YCjh6F/wEvTBjRj8rJ19vYYuSEBfDXu2bAkYPYsetAXfvs3z0blqAvBfzsg80G3xnHww0HO1iYmwl6vWStF4JDTuKo3xH4HvHHMX8fbNu4BjOdR8GB7VRpa43eIyZit28gjuvp08p5kzFi7PwGuuJ/5ADpysEGurJ1rSsWr6u3Cfav754NGNbH4a4JAwc7GwyeOBOzp46GMZG0aYtW4hDFyr5HAnDk4HZMGOxIpNQcVo6DsGK7N91PfZt7N7phQN9h2HKQ4mHhflj5EaxxXYWDfuJvocz/ANzd1wv6L5YF4eihrRjcxxJO4+qJnTL6OJbMd8eRo4EIJv80dfRAivutYdvbEc61fuigj+iH1rkK9lD3wXJLG0ya5wF/uq8AOu63fwvGD+sLczZw0nsoPBv4w6PYTf7Qt8E97sfUUex7kY/GrPgjSOxEiF+qN4exsTFMTEyEXdzYvybkECzY1/DpwVk9tiMQ25a2F8vVF7ab7QVjtr6EFEb8qn09WCfNvkXH2jE2NqF2GqUbkUOyMDMR2jE2MYMV+8SCrl32aQU24mZh1nDzlG2ThqBrt+7ClremRBLZotoGbXJwcDy0YH0E+1i3iYkxegn9h87eqZ8wo8DNoTfb3c9BWJRed4z6AtaH1NVnts/qCjsBUqfM1hiZGuuOGQufSBDaIcdsSe3Un0fXMDentuq3y+5lbApbCg5q+yGhjOqxtBsTvc+9sNS22j7OjgIJ09o2epnQ9WzFZyPYWFnB0tKS7of1n8ZCHyV+QqYP7KzpGD27OVuTJ/St5nxQiuO/gj7kS9mmKUzX2OdBmI7V+nDmv2tnrpj+WluaN/DfphSI1tkP03XmeylgYzMnog30gpmlFQU/FBDq6rHlGszG7GytGmw/b0J2wq6tb6vM77NYoP6aVI/iCjM9mxPqkR0xO2HfzWX3WBuLGJuYwtpG/GYWO84+sGyid0123Fzfztn9Uv/Qm+5P/x1xND2wvp2tYRZ1gek00wcWn1K8yNZRsxkjpjOkm2bU39bqBNNhSxtb4Xx9/TSkK+aW1nfZhAmLLQ3cD7uWsJmXEMs6UH9vKdwTA9Np8cP4og9r6HtEnXTobV9nQwy9BP9BbTTySVbMR+rfN/kK9q2+BpunXDwChy6d0YM9N7VjRc/L7vF+fqjuOShuvsvG2L0L9lcflwuo9Zv6/pD5TcGv6b2bJoxHltg9jOjTxx7G3U2x+YRuC+TfP8Gm8QNIkS10DsDweRwcHBwcHBwcHBxNH31gY2GKPiMXoLx2xu68N2w6d4G1g0jmDJ/H8SDgxO7/EXY2Nhg6dSlyK+sy9pET7o/JYwYLH4s0dA4HBwcHBwcHBwfHowCWUWfnOACbjsXVrSP89aYSXu5z4ORo33A2juMvgxO7/0ewD6VPmu8Gr21bsWnTJsJmeO3YicUzxwp/BEPncHBwcHBwcHBwcDwKYJ/wcRwyBmu2bMeWzSwW3oQt27ywzdMdQ504sftPwYnd/yPE9TgWQo4wywWuzQdmH0PnqZgcHBwcHBwcHByPNHTrCM3ZGkNdLMz2rRD3meCpmP8pmhSxY+SHg4PjwcGMvG/fvnX/b3ycg4Oj6YDZsKOjowBuzxyPErhuc3D8d+Dg4CAs73qoid2kSZPQpUsXYVcsDg6OB4eZmRk6duwojIix/xuqw8HB0TTAdjft1q2b4A/Z/w3V4eBoimD6zPS6a9euXLc5OP4DsHiP7fZZUSF+pP7vyD9O7FxcXIRRHCcnJw4Ojr+A/v37C1Py/fr1M3icg4Oj6YDZM5vNYCOy7P+G6nBwNEUwfWZ6zfSb6zYHx38GFvNVV1frWNRfl3+c2LGbUygUUKvVHBwcfxEajcZgOQcHR9OCSqUS7JmB/d9QHQ6Opgiu2xwc/z0wG/rxxx91LOqvyz9O7MrKylBcXAyJRMLBwcHBwcHBwcHBwcFhAKWlpfjhhx90LOqvyz9O7LRaLYqKioQb5eDg4ODg4ODg4ODg4LgbJSUlnNhxcHBwcHBwcHBwcHA0ZXBix8HBwcHBwcHBwcHB0cTBiR0HBwcHBwcHBwcHB0cTxyND7GRyBZRK5Z9DIYfEwPn/X5Df4z7lMqnB+hwcHP85JFIZFMzWFApIdYuLG0Mmlwu2qJDL7tlHSCRSKBR/3WaldH3R1un6UsPXvzckf+McBgnk9LzsujLpve9VKvvz566rQ/2nVGK4jiE07pcbv7P7vU8J3bPkL1yLo4mA7E8u/M0VpJd/R69F3WD2zHRWv/xBdPneYHZGOmfw2P3B+pfa6xo6/mdgdiC8EwPxif6z6h8T7pXbxyODv6NDUpmeX7mHXxP62No6f8PehH7YQPmfoe66fzHmrvWVhv1rvU9rDFZff/OQfzMeCWInKS1BTmYaEmIvISI8DGHhEYiNT0JKSgqSE+NxnsrOhYXjUmw8UjKyUCycY7itfw7kNEqLkRB9AVEXo5FM98buLykxDucjwhGfkiUYkOFzOTg4/g5KCEq1BoqSPFygfiDiUiJkKi3UChl1frp65IA0ZWWQFOYKNplTKEFZmRYyvaCJ1ZUr1dDISxB3IYL6kwhk5JVQ/6S+b19SQnav0lBbhVlCPxQWGY1CmRIalYKOl9xVvzEkEhlUSjkK8/NRRPfwoP0WCxLUaiVy0lKQkJiEIoPXlAjPLSvOF547u4Ceh55bTs6fvTehDns3Wg0KM5MRFhaGqGh6f/Q+VXJp/fu7B1jQUZSXJbQtIgmp6dlCYM+Oy9j7VJQi/mKk0D+n5RYL71NKxyQlxcjLy4dUqSKHzR31owIJES+1So7M5EQkJqZCQjqgJv0upUDEUP3GYPagKSuHSlaM2AuRuJiQKugo02W1tgyK0kJB1zLzikiX6TfpTp0u3w/Uhorso6jgr9lZbf8iL8nFebKP2LRcaDSkww9MuKTCfWtVMiTHXqT+KQ6F9Czs+qxthUoNhaQAF6jt6ORsqDUa6pfIHph9UJ8gU5F9/E1yzPFwQPw7Mx3KE3Uo9c91iPkVNcXGpXkZiKBzwqNiUaJoaEu1PkslLULMeapzPkaooyH7ezB7k0CpUqKkKB8FRSUPHjPTdWUKFVSKEsREhuN8XJpoI/p+xQDYMRXVk5KvZM+UkFkgvAf96zJimpeVrudTapGM9Iwc5JNNlCoYOf53x9JNnthJpApopOmYaNseL35gibmL3bB88Wx0f+8VPPXUU3j6zQ8w2WUZli9bANuOr6F1lwG4WKAQAhND7f1jIMehlBYgYM8mjOpnhtZ0b+z+2rzaERNmL4RP8AUyBsWDGw8HB8efgjmU9Esn4Oa2FMvd3DF7+lRMmOmOC9ml0CjZyCgRF40cIbs80POdl2FkZIS2XayxevdxlFJQVUvumKMqTImAu+tCuCxcBA93V8ybswh7jp6na6gaXFMfKnKMsWd8MXfufCyivmnpYlfMdVmBMzFZAmEzdE4tJDIFOepiBO/fi8P+oUQI9foH6rjZPSkFgtrQSUukcnLmBfDZtBi93n0DTz/VGt3txiD4QiaRPUbuWD1G2JQIO7Qe5h3eEJ775Q9MsWzLERRTu2KwSEGnUoITh7di1hwXLHFfjiX07AvctiAxl4KR+8xYSuQUQBQnYEjXV4W2RTwG55UBUJWTkyfnW5x+ASuWLsL8hQuxgt7nfHqfO/3CoVCroZSVIirEF56bvZFdSv21goikgetwNB1ISX8VxZnYsXw6Ord9Ga2ffB4Wg2YiMrmAbOHPZylkFJRWaKU45rUazmOcMXHSVHh6h6BUpiISp8aFgG2w6fKOoGvPv9MdC9YdRIGMjeT/CfEhe9GoS3H68AHsp/YKiHyywQXhGLMzuTjrYCgYVhLRyrwYDHcXF7gudSddXoAtPqegoPI/I3fMvisqNYgM2IUpY8Zj4sQpWLLlAHJJ39m5Cuq78uJDsZLadHV1p35nATz3B0Gi1kItL0FY4CFs2OqHfHpGJRtoMXANjoccRIKYDmVdCsHyBfR3ZjpE/24+fBLye+oQkTqVAueP78fsOeRXlrphyaJFmLtwLdlSPvWVok+QE1nMTw7HSo9lcHdbhoWzZ2DcpAU4lZgPrTDIZ6jtWoj+IfrkUeza7ou0Ikn9QCe1zQZoVEol+aO7bYIN2JVmRsOT+vbFi5ZhwaIF8Nh2CAXkE+TShnX1odJqkBIegKXz6T24uWHegoXYeTQcKh25Y/Yvy4yAddun9HyKiJaPPY7xq/yRmXgOnuv3IIn8k0hyDV/rUccjQewU+bGYMWYotpxMwuWr13Fdm4WhJmKQZvSeFS6WVuPmjSvICt0Ns74jcSpD8v9P7AhslKXy8jVkhu7C881EhXzXdiFKq6+hnAVcBhwHBwfH3wNzBCXJZzCkd2+s8b+I6itXcVlTAJdBpujoNA85cg3KyrWIDtiEzq+9AZt+AzFkQG+89hSzzeexbM85qNkMEgv8JBmYMcgWo9wOQFVZgytXryD15A506mSFg5GZ4iiogesXxh+HjbEF1gfGovryZVy9XA7fFZPR0XoCEgqp77oXOaJrapWF2Ll6GRZ7+iK/WNogbU0qlyE1NhJRcSmQyfSDYgkU8mKcPOiFtRt3ITIuHuFBe2DS5gm82GUUEospCKRrssAz6eRe9HzjTVj06Y+hg/rireea03M/iTmbggUny2YHoo96opuJE44nFuHy5RpcLivBstG9YT1hLUoo8NSf1dS/B61WhdP718HBoT9GDB+KQYMGYdDQGTgdlyt8PFUrz8G84Q4YvGAnFJXVwvvMPLsPXTuZY1domnC+XFYIvw1umDpjNTIkjOzxmYmmCiEtS5KPgB0bsMHrAC4mJODk4Q1o/0RztO8zX7DF+808yZQaqIpT4TrWFu262WN7QDhKKVDUqlXCbEdm5BFYvN0OJvb9MGyIE957qRXpcgtM8PCFgnT5niRLIqMgtxQHN67A/FX7kV1IAay+nZFtZSREITI6Ufi//rlsYKU0IwKDTXpintcpXPnoY8iST8C2hwnWBsSinHRYv74+JETGypTF2OU6Gm+83wNLtx9FPhG6MmHGuoTsWwlFXgzGWBljyhp/VN/4GJqcCPQzNsaS/eGoqCiDrDQPh1YtxvR5G5FL74/NThq6FsfDC6ZD0sxIDDHtibnbQgQdkqeehF1PY6z2jzaoQ3Kyhezz3jAztsFO6itrqF++Uq3Gjvkj0bXfHGRKVFAqyS7yYjFhYG/M3x6C8poruFqlgOfUfmhnOlrwPWwwoHHbIiRE6lQ45+OFqQs8EZdRSD6mvi6zg4KMeIRFXkAR2Y/+ZASLx9WyTMwbaIUhc7ZBfeUGqmXJGGdviomkx9oyTYP6tWBksDDhBPp074nlh6Nw/eOPUXDRB+bdzLHjTCrKNCryxSqEbHVF5w97YdCQoRjMfMrgIRhGz9j25ffgeTwJNZVKnN63EZPGL0J0jgwaIrmNr/VvwCNA7JiSxeHIPj8UUaChoA5RXRRPne1rAnFq2cEKZzOp81ayTrMY3nsPIYKCCw21yz5+zsBGOFhbShVzFGwUQq99lqJB7bL7MDS9y3L6WVtajfru9QJ0rlqjFUcOdGUKdRlyIr3xxuMisevk5I4ibfk9AiQ9sBk/cmDsPpSGcrAlFNCRMbPjZeTIhICR/rhCKhjdf+2zshQzYXSPjRRRe6xMI4zi15NKmUIptMNStxobIRt1ZcfYiBHL8f+7ayQ4OP5RkD2UlynhNWsA2nUYjxx1JZSkq8qySuRE7MELLZ6D6/4LRPRysWKeC/YcjyfidwVXLlcj7dwhdCaS84zpOKTLSNfJhkviAvDWu29hfWgWrlaQs5UqUaNIQe93OmCy50mUV96dkqkiuw7bPQdPf2iDmNIKlCmkkKvLUXThIN58tgsOXcqjoNLwrJ22XENObAkGjHRDror6qAZ9D3sODU7sdMPK3YFQq9V1x1iqWlFOEo6HnEOxkvolOlZz7RrO75qFFi91gH9iidDHaWTZ8Fy0EFt8L6DyMj33lRrkXDwKs9db4bGOAxFfrMHlKg22zLLH646zoKi6DDn1UdrKKoRvd8HLbfsjtpQCCAPBpJQFKxlhGNF/EA5F5ODjmzdx8+MbqKmuEPolKQWh0pQTeK/9m3A7noKr9O5KJApcVmdiQIeOGOMRiLJKqkN9TWW5BOumjsTohbuhoL6qbiaFo0mBDY7kpsfg+OkoyDRlgs5euX4ZAe5D0PxtC5zPI79twL8yMBLEBgJcHDviyTfMcSqtFNWVRGyY7yG/qFHkw8t9MdbtO0cB7GVcvXIZRQmn4ND+aRi9aSO2TbZnqG11uRbh+1ah30AX0dYbBYJK8nVhh1bBfau3MINWf4ylayuxZ15/PPfOQCRJmY3KUEl9g+dke7zQcQSS72EfjEyWl8mxY05/tHiiLbZT4FpTU6m3pkgi2L//ijF4+jVbRBWwlGUZKuiZ9ywYjGfa9cWlfJbSqkaFphBuY4ZgovthqMrLDAbNHA8rSIfKVdi3YBCefcsJCRKtqEPUH26a1gdtOgxDYkljHRLT54PWj8dzvQYiQ1VNREr0axkhm/Hq8yYITi3F5epyHFs/Fa+84ojYIjbDK4GMfI889QTat34GY1ccpXa0BvVFodYiK8IHTrZjcIZsrUzTcHZPTnaQdvYAFi5fh1yyGf1BExXdW+S+hXj6mU44mlCCcvJv2ooKnNwyE0+26YHjSUW6TJn6c5gNl2tlWO9sjZc6j0W2qoKeWY6qchmWDDVBW5MpyFaWQ1OcAe99+xGdJcHly5dRXV1FfcjHUJEvGTxoAs7nyCmWZ7Pgahx0m4Z+41eikJ5Fdp9ZwkcVTZ7YsQCuuKgQOVl5RPIkwkiXQWJHHTs7npeVQ/WLEBcViuMnQnDq1ClcSsiEkshXckwUzkUlopSNzLE8YUaUVFJcDA2Ct+8xpBVIScmVdF0dYaKAT1GcjWB/b/idjEApG1XUTYOzqWyFvBSXIs8iJi2H/i8qMyN2WeGH0FZH7D7suwyF5OjuR+wY0SpTyxETdgLePv5IzmXGphKMUsijVqjJMJRIvHiOjh8h5xmOnGKWXkIBVnEewk4fR3DISeFZTwQHIioug5xIMSLPnkDQ8SCcPH0JRWRcjCSzNTYFabHw8fbG6YvJQh63kBtNz8TytWWFGTjm64PgsBiUkCPKyyugYJKTO46HC0yXK5T5mGz/Ll7uNF0gRwrSY4lMBVVhLPq8+jg6jliNooIsnA2PgpRsWSANEjkuX1FjRd+OeK7HMKRJydky55ARis4vP45edI60vBqV1TXIP38QnTqZY394lkGCxohdzNHVaGn0BGZvC0VVTbXgjII3z8L7FmN1M3Z32w4bvSxJDoFlp57YEJSESgogG9YhR65V4xQFpOsPBAszYI2Ps41gxOeRofpqNYI958Fh+GJky9RCX1SUlYwz58JRyp6N9T1U7/LVcmwbbYLW7/dGTJEGNVVaHFo+HEat3sbec5lEzKpwuVKBNVP6wmzsapSqDMyEUD9SVq7EvsVDhP6t+ZMvoqfVSBw8EysEEqy+VK6GMuc8erV9Cp0HLkVJWTWqqqpRHOOHbp2NseN0GpFPMZiQU99YHOuHD9/rAS8qbxxkcDQhkJ+Qk14KwSQRvZor5di70BkDp20QZn/vlXZWVq7GkZXjSZ+ew4YTafjoWg1Uus0i2Lr0kpw0nDlzFkXkf8VUL9L5a1U4NN0BT71ugvBcw6SRDUDIsyLQp3sPuB2+hEoKshvXYWlyEb6eWL3TT1jvVlvOyKaK4oze7Z7CGwMXoETw4RIiiuU4v9MFzY2expqQZFSQX9Zvj0FNwW+0/xo8adQcEzxDcO3GNfLVbIMjsS8QiKw0HcM/bIPnrScjV1km+GBG3OJ9V+IJo1ZY5BONijIK+rUVyI3Yi/ffM8GhqFyyG8MDRRwPH9jfWV2cBMe3W+M1p3koptiwVocu7FmEFkatsfJ40l06xNZkhu1bQPbwPNwPXUQN8ys15TjsPg4f9p6BLPJZ1eVyeDib4slXBiKxSJftIFWgTJmNSV1fwotmk5GtEGM7/bZZGr9Wno0Zfc0xfIk3yivvHiyQkx2kh3vDbc1m5Mn07JZ8Z4WmGC6930ez9/ogjq6rohiRxby5EQfwGvmDkZ7BqKhoOGsnlTM7JH/wYkt0HL8KcjaAR+9BS9c+tXYijJq/hB0R2dAqpSim/kDO0qKFc4nkUt/gs2oGhszcAgXZB/N5UuoHNLmRsOzcGYv2nUeFAbt+1NH0iR0DKUHtVPH9iB07zgIetkg60s8Tbz/XQqgzaPZ2XDp1EF3bPYdmT32AfWfSifVXQJobA5fxwzFqykKsWDAZlvZDcPgckR3qhNXkiJLOHsLQfoMwz20lpowZgL5jFiIujzpgUjw1GWPIFhc8+0QzPP9hf5xNLoZaKfvLxE5GSq8oSILrlFEYPmE+VrtOh6XtAOwKiaN7UAmkryA1HC5TZsJz1wFscJuJN1u3RifrYTgem4MqrQR73J3JiYjXe/5dWxy9kElEUI6ATXPxxnNvYrZnEKRs9k4tw1Evd/R1GoXla1ZioKMdprrtIYdJHQOR3MLEs5g2fAhmu62H16a1GDHQEcu9w1EukF3D98/B8b+AQOzURZjbvyOeeKMfkiRlwqglI3ZaaQqGv/UkXuo8GZnk3NREdOocDRGcCm0+pll2Rf/p26GqIMfGZgU0chxeNopsqAWVb0RWdjJWzhkP993BFPwZ3kCFraFRlWZglkMHwTkt3XUK2bEnMXn8ePhEpOo2M2l8nhjIHlg6DM+1c0J8CXOOovNl2QEKBZFBNtBTVYGzB9di4+FTKKdAQCxX6I36s3QuhbhO4owv5k1dhfhcmTBaKq7FoT6T3lH9rnoyCmxLsaifKWzGrIOMtUk2X5J6DjbvPINWL/XAgTMJiA3eidET5yAqs8RwOju9K4W0CCcD9mP1ymUY5WiBVqzveeJVuB44CzV7V8L7VMB/FTlto2ZwmLgaGdmpWOsyAa7bj1Efqfc+KVgoV+VigvG76DZ8OSQU1Nxr9zeOJoASRqiU9PeX4Zz/bsyfvQlZLM2WbNNQfZaCKU0PRY/nm6Ndn/lIy83B2dOnEXkpGQpNffYJ0+X6AFNK/luO1SNtYOzkihLSmbv9K5v50CLQcwKefsUakbmKOvJXb2cUCFdW4kLAJqzbcwza8oq6cnVZBfIu+uClx4xgOWMzEaxyYYBTRXaT4L8CrUnnJ687CW2jIJb1CVpJGsZ0fRFPvO2EqPQ8XAg7jbPh0SghP8uye9gzFycG4+2njdB5tAck6nJB55UU8Kaf2oqXqO1hi/2grtRCSsF6uYJIYKc3YDF5oy4o1n9OjocVclUZ8qOP4BWKBc2mbiB9rtehpKNr8DT9nSesPkEEpxERIkKoLEzE2F5vwujxN7DeJwLpUQEYP34SxXzZ5FeUKC9TYON0Wxg93R1hWXIidDKxLy0rxHyLtnjsxb6IzlcQ4WvYhyvpHpJDNqBN63exOyxbXCJE5cyf1uq+huwgO+oIPNZvIzJaKQyysHKlWgtV3iVYvPU4XrKejByZOJgqV1EMH3cUHZvTc47eDBlLI9bTUQXFv6mhO/BkMyP0X7JfmJGUkH2qK8txfo8LEdzmWLgzkvwiI5F6/QSR0DJZBqYPHog1QtpqrT8l+6+QwWOIMd40nYgs8vHsPurO+xfg0SB2evgzYidAqkSVMhvOXduK5MpiPM5EJ2DLnD70uzmWH0nCtcoiuPT/gAKSDgjOqMDX14oxqP2zePLtAYgrJdKXFIJuL5MCW86A6ubXUMR441lqy2rKZkipk6+sUMBrSm+hfSOjd3AgIkcYbf5LxI6NnigK4D6yJ4xavAmfeCW+vanAuG4vo+UrNojMVghrhubavUdtNYPLzih8/rEKM23J4KntriNXoLS8GpfLirFwQHeh7OWu45AiLUMZObucC8fh6rYXkrJyIX0z8qC70Jn0X+qHr777CqfXT6JzHseSg1G4fr0CO2Y5osVjb+JIohLffFoFL/epWLCHAktO7DgeOrDATYPQ7Wz0vAVmbz+Hy9euoYKCubyYYPRq3QJtLeYgl5yO/qilnOyz4OIRmJn1w5HovLq0EbZ2oEwjxa7FIwQ7evHtXlhzKILavAK55N5rY1mQpixOwVQbZqNG6GA5FMHxBbh6ucLgmlphMygK/EZ8+CLeHLQIJbpRXAldIyM5HhcvXiRcQlxSAvatnY9F63YhPr62/CLikzNQQoEt24ipIDUKK6ePxstPNsOTr/fElqDz1P+IM/2Nr8vuU0J9mrV5b+wJyxRmIIV0beonChJPwurN1nT/rWEzfB6SSstRU06kz8D9MzDiqGZ9YGUF9Q0KRJ86BAsih0bPdEJQfCG07J1S38YGlw54OKMZvZc2b3SDx95QVNP7VFBfWL8RhJiutGOWLZq1MUdYhuyudDmOpgOZUomsmDNY6DwYT1Eg91IHOxwMTxA2GbpbL8W0s7A9rmTDRjAZtQSnTp3AGveFsO7VDf0meCC1QHbXWiGpQg0Fm4mzsMXG4CRoDc3yMntW5GKqyRt40W4q8nSzYowUZaYm1tlTXGIifDYvhsuKLYiNT6grT8kpRMKJzYLPH7HUh4iemNbGgtSMczvxMpUPXXRITI/UD2Ip+M0M2y8cf81sNIJOncE2T3cMsDaGZd+pCE8qREVVJTLD9+JVquM4a6dA6Nh9yencvGhfvN3SCA5TvaAgvy0lWy8rl2O9swkee72PEKyzWZIGz8rxUIL1rcknt+A5piuLSVf0dCgzfA9eofLBLgfu0iEGBfktWV40RnVnMWxLdHMYR32jFFeqtEK/zLLJ4gM3CvHckKW+qLx6FZWsncwLGPD2cxTHDkVCMUvz1NMVQZcU2DrRGs3amSNcN9ghZrql1ul+DNnBae+NmOWyFOExiYi+pLOVlCzkkw/p+qwRugxaRqRPXGLE1ppLM8/B9OUW+LCfK4pYSmhdeiQRWdLvCz7uaEUx7FTP4Lp1eEzv44PW4Sl6hslrgohQNkwdZYQxN/IgevcZiyi61/qUVeo3iDye8BwPo1bv4PD5vH/dTPa/ktix4EkrS8fk7m8JdV61nohMdQ2kqZFYvWIbUiVapIRsExTqhV4jcSGjGNKCREzu/IpQf0VQDI4sHy38v5+LFwolMqSFeeNd+m30bFecJgMr16hQlHEJbgtnwmP3MRRTIMNGGx6U2LFveaip404/uw9tqN7THZ0QlloAeUka5pqJO39N2x2OG9USeAwxx1OPPYt5XhQYqbMwzkzc5a6t2QxhRqK8ohKJZOQvtKBrNntWIGrXrihxeNsmHI1Kh0ajQZk0A6NNWCfxlDALp1BKELJhrtDOS45zoamuxMqJNsLv598yhse+4ygk40xOzaJ7/XeNhnA0ETAbkhdi5/Kp6NbVCnOWrYT/6bPYS78fJz22nbtdcCp167bYiKamBBvnTsCCTceFdS61joSlqLCd807s8cL0sYPxZptWaPOOJQ6eSSb7uVeqRwkFsmrIC9Oxe9VyjBxgg1Zkg13tpuFiFpEfA+mbUgVdM/UM2j/bCtYztgjOX9h4QlaMoH0bsWDBAgGLl7hi7EA79B40GosXL64r37AvEMUyhZDBUJyfjZioSPjuXIWurz8Fo6fbwzuSjeg2ui61X14mw64lUzFzla8YSFC5QOyob8hPisL6hfPR16Yr2f+TcJqyHrlSCgoaBdSGwEZ6y6trkBdxAO1aP4aBHn7iyCsbtNJIcOrATswcNwxvv/QEnnvTFLtPxEPT6BMSLD3cfwMbZHoFu0LTBbKofw2OpgOWOlmYk4FLkeHYt3ER6XkztHjNHGeSS+4m7OQv2eYROxYNhlHzF7AqIIp0o0zYaCfttJdAqmxmbYOMYgT92brychW8V8/BJNe94gyWfps6MPKnzIlC95efRPcxKyAlH8zWjLPlE6e8t9XbmasrJgzrDfv+w7FosWtd+abDJxFDMcLzdA8T2HolXdApBOsnNgk+e9hi3bo3Pd/O0ujO7ltCutwC49cfETZ+qb58FbK0U+j6THO8YTsLBRVXkHd+nxjYz98vtMGej81QZkXsQ9vmRug9dbuO2ElQRoHw/uUjYNTyLfhE5aLMQL/C8fCB6UqKjtiNc/cT1nvW6lDqya14gcqHLDBA7KhfZjteSnIS4eW+FEMdzdGMSJHpwAVIzCefJ8zOScm/SOC3ZTF6dDbFJBd3HAo+A/+tS9DmMSN0GM6IV6O4k+LiCkUuxpm/hWe7DkeaRNyQR6GUI+a0T53uMzuY5TwU1vaOmLvQFQt15e4bDiApNgQ9nm+GXsNXQ6LVETulBiUpVP50c3S6D7F73Kg55m09U0fs2MzlJaHcCFPWNiZ2EqqnwqEVMzFqIRv80C2l0EGlKccFPw80p3h26f7zKLvPRkaPIv69xE6ahknd2gl1rCeuhYSUnKUeVVSUCwjaNks49uQbHTFplgvmz52FscMGw8lpEHafjMCy8SbC8XfN+2K+ywLMnjEFQ536oe+oGQhNLRLSlNi9VFZVo1KnqOzaD0Ls2AhJfk4OCotkCDu0RBjRfuyV9hg/Yz5c5s3C+OFD0a9fP6w6Ek6Ogm0YU4qMpASc8NkH17kUxL7VRmj7LYvZyKJAUUn3USZNxzgTkfB90H8xMtNjsXnzbmRJxF3F5JlhMH33STr+GKyGOmOhy3xMmzge/ek6wxdtRIGmCimnduMdcj6sDTZK1HucB9KL5HR9PkLI8TCiRCBk7NtomQlRCD4ejOScXOxzpUCROvx1R+P1OnwWIKlxxmcjprttQR4FfnXOh5ykRlUKr4WTMGjqRqgpEMuI8IHxK61g1KYrjl7KI9J3dzDF0q4UhQmYOqg/Fu84J8x6B293xTNkP+1MpyC1WClsJqJ/DpsxzLnoLaTnOM7bpSN24gwWW+MjboBUjpprVxDp44mtfmeFheS1myOxTY3qNkJihJD6tOqrV5F6Yotw3UHu3gJR0neQbGYzKnAHpixaJ+yoVrvuj60xzosNhpPNQBwIz8W1ylJsmjdcsH+7qVupz7zXrpiNQH+DmopSzHEygfm4zVBWlaNMLcWeZdPg5LwGipqryL4UAMs3qf95+gP4EPnUH2HV0js4sd2FrtsCS45Eoepf5qQfNQgf3CZdvnztMiJ0s3EzdoWiguyvQV1G0rQKbJrtAKMnOyAosRjlaha0ylFVIcOSQZ3Q4hX9WSr2bS8N4k7vx2SXFUguuvfslUxJcUVCEPmzZjCb4Cls6MLIE7Mztpa81p5qyHZig7Zhw4FgImBX6sorqmuQc/4AXmhphAEL9gnr5mrT6GIOLROC0amepxulYoozkCE75pAuP431gQk6XZaisroch5dRv9TsHQTEy6FMC0a7p4xgNXkT5KT/tamYKUEbBCIwYkkANCwVUyB2Wvitn0ptPok1wQmo5Bk0TQIsFTPnwmG8RDrUb95uqIS+XtShOJ/leIL+zpPWnrw7FZPiOWn2BYzp2x+rvGNw/YoGPmtnCSnvHfsuRI5Ut8OsRNwzIS81FieCgxGTnoPgrTPJ3pphtlco6U2jdoU1f4no1+l5vGTsjEypVvAFQqoziyF1ul9FdlAYcwyrNu6ErPIqKoh4svLyiiqocqNg3LYV3nV0QaFuFpzNrBVc8kV7uj/zsVshvysVsxzJp7YIy4XGrQrQ+ScxFTPMaybFvy2weA+Rs3K9AT8p3WthHEY7Dsaus+nULzT0v0qy5/jjWwRfNcozgPoW/Y2PHn38y4mdmLI4YIYXZMLoFzsudr7HdcSu5bv2uFCgJXKmpvJyVNdcxrXyEswfykavjdCDAhN19WUKqFRCPn4VKaOCAkL2YtlWtuUVFeScxAWmQnD2AMSOjeSfCfFF4IUcXPRdJjg+o9dNEZpFQVq5RriPyqoqaJVyel4FCjNisHRKP7z2lgUOn43EPKcPhLZriZ2cHGkZGdPxTbPRgsqbPf0uJi5cicDwJGFHTDZ6KWPE7p0n6LxmmLkrDFcvk5FS4FZBz8SIKXsvbIvlmOCdMO0gzlwy2E/aiFKNbgMG3f1zcDxUIGcpJ5LCPjWiSDmB9ylg+sBpEQrIsYrkjQWEasSH+mLhss1I0n3nUlhrI5cJo6O5kQfwwZvvYdu5LFRSMFZGTiw32h+d2zwJx9k77x5VZW1SWciGqWj7YV/EFmuhUSpRVV2B0zsXoLXRc1jhF31XGjMjdrmXfPDKE83Ql5x9LbHTr8Pavv/mKQ0hbK1O/d2gD1+C7YJdesSOggiNGinnA7HIdT1isumeFTKBDLM1E2VlMqwfZ41O/RdCUlYJJQW81eUybJ7ZDy2f6oTAhCIxrbLR9e4GBa5VCmyYMAwT3X1QceUyCqP90PnNd7E+JBVV1Ldq6X0WxB9Hz5efgvXkzbpgVjxfJHbzqb95DMv8LnJi94iAbXKgzImE6RvPY/Sm4zo/o19HnI0KWD0RzR5/E97R+SKxE8rV2LHQEc1bWyKC/DuzV5VGg8yYk1i8eDUi0ooF3WQzxsI36Bq0KxI7to7tnWebw5yIHdukp1bf9HHvzVNUUOZHw7btk+g4bgXpqzh7piUfeWbjLApGX8T2sExUNJpdVtF14o55UtD+JJb5XhT6ElbOsnPO7ptL57XDvrACXNFkYnCH5/Fmf7apBpv5oLiEAv4L+5ZRAN8aq48n6jbVqCV2U4gUtsa6E4mc2DURCBvwEDlxeLM13h/lBikRnFodOruV6UIbbA1Nb6RDTA/U8F06Am8Zj0K6vBwqNnhXpYX/2ilo1exVbDudijKK62rrs2+GlldfQUVxDCzbtsTL3cci1cDnYxix0xQnoV/nNiKxk4nETr8Ow/02TylXF2C2zbto3WMoUqVlwjWE9ORTO/GCUUtM3xGKcrp//fZY/Ml2Ue7+fEuYzt5aN0hSXqnFUbcxMHqMbD+moMFMNGsz6fhW2DnNRHIJG4RteJ8isdtM77AZxmw8xondX5SHkthpihMxxPR1gXi0/MAa57LYWrVGxE6WjindxRm7/jO2Q06dZq2Css432n+dbsORF+HhGy1sg862F5ZJiLBJi7FptpNw7jNv2iE8R4WaCgrc1EoUFeYhr6CYAkkFMqNDMHnMYExftRd5pXKhc2bErsHnDvq5oYgCl1pixHYIKpdmwG3WDAQmSZBzdifaCN+8ewYL90TgytUaCuSYIhcjp6AE6pJUTLQUUzNHLjuOT24qMcNe/P221Tzk0fWEtQOMvGVFwO6tp8XrDnJFgVpcXyTswlWSjCG9xHfWpb8rSiouU9DJFnPLkJuXj9KCHIRFhFP5FSizY7BgtL0wQvRsz6FIKtXwvH6Ohxdkd2xReKUiG5Ms38YTb1rjTGpJ3Toy5kiyL53ButV7kauswcfXrwqzYNLcFJwKjYSssgoJvh549fm3cCRRgkp2HpEVtouk50R7mI1dJRARRpbYGho2uMPsSlulwZ6p9ni92xBkKavIRqjvkRM5UqVjcK8PMMMrlIKzu52cjJxcp+dboMektRRw1vdLCiJWrD9kRIfN2IUfXotNPmeEexXLtcLmC4yYlVdW1G3OIqE+RVsaj1Hm1ljjFyPsOMkGmdgIcUFCBNav3Ik0SQVu3rgmtKUoysDJM+ehLCvBbLN26DVuNTT0Dliqi0JbCXlKELq+1xm7wrLI2bIZFBldr1IIJphDEdbPVVTQdSj4JTKrIVKozr1AfeF0HIvORUV1JVKCPNH2ubbYF12EKgpcSkokqLlaie0z+qHHsKWQ1D03S7khB7+RAlej17HvXIZe0MLRZEB6wQJHtimZ+PkflqasEXab7dvTFvvCxW9Bst2mNeVsMJGNzrOPLGtRcNEbbVs9gcmbzqC6uozOJRukQHbzdFu8bjEZ2RRcasl/l6RdwoYVXkgs1OLmR6IuqyU5OHnqLHLJXvWJG7MJVV40TF97Au8NXYwSRp7IZsUZO/GzQQxsxi762Gas2xckzFTUlmtU5KfLFNgywx5PdxiCVJn4uYOqShXWTLBGm44UdEs1wiAvs0c2QMo+Cs3iEyXZgtXrrWE+aRvKaioFu9JWVeHUlql49h1rRGTLcZme8+CSwXj8TQdEF5EfprYrK8uwY15/tG7nhLhCIgVC0C2S3wMeo2HUsj38LuXxVMwmA/ZJHhW8ZvXGU+0HIpntwCzokBrrJ9vh+Q4jBALGNv5gqYVV7BMfEinKKhXwHN4T79hMRnFZNfka8hvKMlSUxMC+cwcs9b6kt5MmG9Rku2SWwm24MYye+RDe57PuGlAUwPRUlY8pVu+iVcd+SCjWbWqkm7Gr1X32eZyCS/7wWO8FacVVegadTVB/ry0vQ+j2WWj1fBcEJZWijGxdSzYfvGkaHn++J06l6FKu6Tm0FZV0n2xgg6VcS7F8lDFe6DEBuWrxcwfV5VIsHNQTbU2mI4+egX1up/aZysvl8Jo/EeOWHKpLYdV/FrYj9UX/lWhBcfPyQxd4KuZflIeK2LEgTVVWhRpZEpy6viCQFKO3TBGWV4ZrFRRAsaCD1SUHU6nIxOgPxZkn+0mboalhmyCI7Qi72ZWkYYZtB+H40+2tsDs4EnEXzsHbOwBxWaUoiA5A5+daCsc7DZ6Dc9HxCD9zHD7+p5BVKEN1pQzrR1mI92DUFnvOURCkUZFzuI7ssL1o01wkdu/3XgrF1Y9QU0XOjDr3qgoljqycgrfeckBkLgWBypy6jU+eeLMXth4NQ8KlcPj4+CM6vQQlCUfxxhNiW/bOqxEfexYDOj4n/H6p4zCEpxdBIWO7/rG1B0rsnMU2iHkKq/xi9baBZTMWKpzZsUhYV8iOj1iyHfGJcQg+5o/AM9EoVxZizvghcF7hjcqPPsPV0vN4n8hpz9HrIdUjphwcDwtY58ZGF8sp8MlNjsCcATb4oOtAnIjLFTt66i/YiHx6hC/s3nsf5naDMHHCeIwaNRrjxo6BjaUj1vpdIJJCRC33Igb0eBeD5u4SPlDOPgqrzI/B9KGDsNb7grDOTqmQItR7E6bPXoGYbLY2rAwpZ3bg/bbtsdrnEqqvXKbzqpEedgCD+o1GSEJh3Tc0a8GCwDJFDib1eg0v2sxEPnNoLHVNVozAfRvg4uIiYOHiRXAe1g/9h4/DokWL6so3HTyJPApwl81dBP+wZJRXVRMRkuP0vrWYtWgL8mQqwVbZN7lyY4Lh1PkDGFv1x8SJznXPbW9hD7f951B9uQonts3GG2+b4VhsAQXK9NwUcIbuWY4BI1yQXERBqkKJkuxYLJ87G+sOhgozjEUpEVjosgAHT0QgNTkRkaf9MXfCDKzbdZqIoVrIMlAUxGGYyftwnLoFCvY+a2qgLkrA7OGDsWJ/GNR1gYduQf9UK7R8xRZRFPQa3I2T46EG27058+IJuMxdilOx2cLnLbTKEvhtWoYFKw+glOyUrSuXl+Zg58oFcFlzEAXkh1lZmVaGrdMH4vUug3GpQI1r166gOPEUBlv2wZbAWFRWV5LOncOwnp3R3dQREydNwGjS5bFjx6KvtR3me52AqvGmQcLsQhFcbNnswhhkCLMTujV2h7fq2dliTBo1AE5DRmOhnp2t2XEERcoKSFJPw6FzN7izDcY+/gilicGw7dwdK3wvCn0M+xZjYcYFuM6ahc1+kVCoKECm/ihk0zy80rYXfKPz6XmuQlOUiGn9+mLehiAKStWQK8hOs89jYI/umLftNK599BGUmeFw6t4NC3eFUlxU+zxkH2VSrB7dE0+8PQDxRWxDjLtnWTgeTrCNRUpSQ9GnSzfqcyMFHWKbWDl06Q4PnyjSIUauSnF8z2rMdFmP5AIiRORXYo6uxTtvfAivE8nCAAb7DmL88W0Y0H8SIjLIr5EuCxljRHqKsqh/dh6A9m9b49C5FGG2uzEREsFmC9U4MLsvjF7ohlPpEmHzMLbGLvqUd53uLyA7mDVpJBydBmLugsVYoCtfsno7UguVKJelYbKtMcYsOYjq6x+hUpIMZ+teGOfhTfG5uL5aVpSOTUvnYclmf5RQ36Akf5RHZNHygx7YGJSIj+g95J/3hnkninlDkhoM5rGJGWV+NEb3GYCdbM31Xcsg6L4ryhC4ejSaPdkB/tGFd68rf8TxSBE7BQVJl0KPYM7EIXj96cfRqlUrtHriJTiNnYU9x8MhoYCCTfGyb9aFHlqF9i8/I9R5vYM5Vu05jmIifHWj40zREsIwfZgDnmlhhJatX4TjiGk4FpEkjkJTIBfpvx2OZp2ICDXDc+90xoTFnojLLBJSP1SkiGcoAHqTrvG21XhcyCRipSzG0b1bMLqfmXhvhDZtu2PmomVwd1sGN8JM58F4oVVLvNF9CtKkGmFjk6LUKMwd7Yg2rYzQ4onnYT9kEnxD44RUSUVpBpaPscdT1Fb7no7YdugE9q2bjReebIUXO5jAK+Ci4EyE2QSNFqmnd6Fv/2nCiB/7YHPd+yNj0yiKcGDNfHR752UYNW+J9iYOcPc6ggKJEhV07zvXLsTYqQuwwXM9Fk2fiJFj5+FcUsFdwSkHx8MA5pASiFQsmDMNE4iwzVi2AWkF5Hh0pIEFTwWJZ9CvgzhT3Rit3u2HS3lKgUiwLfizLx7HbOdJmD1/ITxWrsDaVauwyycEEhUFcGwEUiPFlpkOeOKZLjgqpCkqwD57Eu69BRPHToHLYrJzjzVYs2oNjrGdAO8x86QlZxywdiJeYB8nzleKO5NJSoTd+qKjo0VcuoS4hCQkJcTXlxGSswpQlBaGfl3ewbNv9MSsJSvh7ecHH58AZJSIOwiyWYOS9PMY0U2c2b8Lr1riXDpbV0j9HNm99/ql9P5mYPFyD6xctRZr1m7E+ZQ8qMjps1mXgoRAdGzzDMynbYO6qgYlaeEYZtwerZ56Bq9Q8DFk9FTsCooSSDQjlWwAjqW15cacxLwJkzBr3oK697nj0HGUKNn71L0PCsArNfmYbPweTMeugYyIo/7MC0fTgJz0JOvSURi/9Tpe/cAaLis3wNfvCHz9g5FHflf8xiTZWnEihnZ/BS+bTUGmjM14ieUaWQ42uE7DEOcpWLFyFVa6LsdOnzCoK6sgz4nBRAtx+cFdeK4rjscXG/zOJNvJ8szOuWjzojFOM31nacikW1lpSY3sLBFJiczOLtWVJySno5hIlZp0OplijlmTpmGBuxsWzHPBDu/TwkecmZ6yGcfsC4fR7umn0VtYi8fWxRFZpb7Ce9MSDBo9Hm4rPLB6mQc8twWghK1319kIs5eM88cxb8pUzF3mhoXU9pa9QdTfiHYkPAfb8EKViVGd3oL9zG3COjzDQTvHwwr2d045F4DZk6fBxU3Uoe2HTkJG5WxgQ6sqwvLRvfDUK5Y4S3GkmuJL9vmdkN3rMGHcVCxc6o7lK9Zg9ep1OHkxDWryKzKqk3HhFJa4zBIG7Sa7eCA6QyKsY72ffihUZcgI34W2z7TDphMpYN9HFnfFTKu3CbKDmLgEJCUlIkbPJmLjk1FQLMbOBUnhWDJjOmYsXIaFC1ywdvNhFMjFlEnhu3W5F+DQvg3e6suWRGiF2XK2HCI2+ABmkC0tXr4MC+YuwL6j4fR+Gt6zgt5LQvB29B0yDymlKmFWXP8ZhNT/SjlWDTFFe+tpYN+wrd+s5d+BR4rYsd0ZM5JicOZsGC7FxiEujhAbjfBzoTgfn0oKSgESsXkpBUkpCdG4GB0r1Im+eB7nLyUIHXWtArGOla2t0SglSI6PQ0xMHPJL5HVpJELKCN2brCiPrhGL2KRUYfSFbSTC0jnYqAEjmhkUjGUWlAhrdaSlRYiNisC58PPivRFiLkUh9PRpnNYhlN17TCyS07JRQiRU2AGJpWCpZEhJpPp0z7nFsrpNEiQyOeSlhUigtjLzSoTF4yq5eM/JmXnCxxzrjYKcZGkx8oqLBIKr/+6EDRfYbEGZBvlkxLExMUjKoOCNAlrhw6klxcJIO1uTl3gxnN5xFIrpedn7ENKvGrTFwfG/h1QmRXZyHM6EnkVKThHKyssa7OTI+oOC7HRciLpYZ4/6SMrIFuqwuuL6WGZbRbgYEYpTp84gISNf+C5bbZDFbKooPwcpqZlC/yBeh/oJFmwVZOAcs/HQCGQVUhCpZuTSsN2wdExFdiQcu3fHskMXhdQc4ftfMpnwgef7ge2GyeqV5mcj+sJ5hJ4JRVxqlpBeVrtRC9tlsyg3ExfPX0CsgedOTM+kvkD3nlhgQUQzLz2e+qdTOBcRjSKZSuwH6Z7E9kooGE5Fdm6h8A6kdB+SolwhAIiOS0YJ1dcSmdZfKyiSOw0FKSWIjjxL7/M04tNyhUBZf/afpaLmX/BB9y5WOMg2VeFpZk0W7BuyxTkZuEg+8EzoObKvXNIBCvKYf9HVEYLIzHSkk+9i/xfLmZ9jnxtRICkmknQlFCnZRcLuqTLS0+K8LFyKijKoywlp4uc/DAWzEjlbjx+HoWY9MXtrqJDe+aB2Vvu9SGbnbG1fSV4azpB9x6bn0X3prTti15EUIzM1FTl5en6XbWxB95+VHIPTp04hNjlb8N0yvQCU9TlsJkNSmCm0fSklW2hb3z7YB8ozQ3ehc1c7HI0tgIalRuuOcTQNCGnx9Heu06G0hjrEdKYwNwspaVmkN7X6Qz6E/EpxTipY/HjmXBRyKT6tS78nu8jPSBL6/wSmk2VsLd4D6AZLq1cXYclwO/Sd4QVNVQXFrWwTsgewCYpxmZ2JsTP5sNI8nDtzGpFxaUTOxGU/YmxMNkbPlpORhszsfD07J3JHtlSQlUQ2cRqJWYWCjTTe1ZbVz8/JQGpmjvCc+scY2NpdRWYYbHoYY5V/rEBOG9d51PFIETsGtuEB20ygMRix0q8nI5Kif9zQAmsGYfG1ro5AcBodl9VeT6lo0JkLIONju9LVXpspNVvIqn/de6Hx/ejfR/1HiHXHdPdQ94x0XVaXtXGXQ6Njchb4NS6vg7jYVrgHMlb981kHwyAeVxp8HxwcDxNq+wNmMwaDOz27agxD9sMcCftYPzve2A4Z2PWU1Bc0Pq++X3owu2Ej+xcOr4OD4zTEFCj/MqFhQXTtcxi6z9o+orZOA9z13JK6/pI9G1vg36AtOq5QKhtcp+55Wf37PC97n6yPZHVZYNDgGAXzFdpirJ48ElNW+EJdwWcjmjrq/W5DfWlQR6G4y18LIL1jeiboiv6599NlA7aoD7bONCHQCw524xGexWbS/t76zVp9N3jfBuyjtrzW17Lz7nWf92qbzXxUqPOxZMxQzPYMgrbi7rVGHE0H99MhdsyQP6rrZw34Febb/ky3DEGm0qAoIQSDrAdif1gGKvV3o/wLqL2+wTiUIL+Hndf2EY13jNYHa9vQuay8olKJvUumYOjMzZASodUfCPm34JEjdhwcHBxNHixdSyvD0W1rMWfeRiRmF90zEH4UwQifpDgXRzavgOvKHciT3b3zGQfHfw62ZkmBkH2bMGvmWsSk5zcJO5OwdfOFWTi0zg1u6/ehUEH28S8MYDn+GbDZ4/jTPpgxwRWnLqbdNej2UEIiJXJbhJNkywsWr0NKIZFevQydfxM4sePg4OB4GMHStTRyRPofxqEjp1Eok9+dFfAoQiKBUlaM8JAj2H3gBIoULHvg3+mgOf4fQAGhpkyJi0F+2H8oGHnSh9zO2AwlBbBnAr2x7/BplLC0N75hCsd/ESzFWF2mQfr509iz3RuphRKwXd0N1X04IAFbBhUbHoTtOwOQXUKk7l+89wMndhwcHBwPLViamRKSkmIU69a0/TtQgkLq9+VK5UMeUHA8GpCIdlbaROyMArfComLI6Z7/FYM9HP8TCP2vtBRFxQ//Pgrs8yiFhUWQCmnP/26fwYkdBwcHx0OOuk0X/kUQ1vQaKOfg+KfQlOyM2wfH/weanE3wgQ5O7Dg4ODg4ODg4ODg4OJo6Hnpix3bHyc/PF8gdBwcHBwcHBwcHBwcHx90oLCzE999/r2NRf13+cWJ3+/ZtfPXVV/j66685ODg4ODg4ODg4ODg47oHff/9dx6L+uvzjxI4LFy5cuHDhwoULFy5cuPyzwokdFy5cuHDhwoULFy5cuDRx4cSOCxcuXLhw4cKFCxcuXJq4cGLHhQsXLly4cOHChQsXLk1cOLHjwoULFy5cuHDhwoULlyYunNhx4cKFCxcuXLhw4cKFSxOXh4TY/YGfvv8Wn928garKClRUVOGTW18In0n46vNbqBHKKnH95i18ffsH3NGd9f8uf/yGj69fxpVrH4n3Rvjs42t0b3R/VdX46NOvdRW5cOHyb5Yfvv8evxnqqH75VugvvvzxD11BQ2H9YG3fUo8vcfu7n3U1gDu//migDsN3+PsbJHPh8pDL7z830PcvSd8NW5FOGtWvO+/Lb/FrI9v89btv8PnnX3D74dLE5A6uUXx87bPvdL8fTL69dV2Is7/9VVfQSH5+AD/E5eGVh4TYfQX34T3QtpcT1m3bhm3b1sKmx9t44YUX8HJHYyzbyMo2Ykivd/CC9VRU/690685tRJzwxpxxfYV7Y+jafwLdG93fenfY9TTFoHFzsD8wHn//m/EPJj9+8Qm++J4bGRcuD5sUnPREZ9MRkH+hK9DJNWkq9mxmfdk2bPTahQTJZd0RUX7/pAgObZ+CkZFRPZq1QOtnXsTqkCJdrd+wc7JtwzqEx59qDdNJXvhr7p0Ll6YiP2LrZCs9nW+OUStOkTXcW0LXTEAzPRtheOyJp/BOHxdcr3OdvyE/ygf9e3XEi22ehfWwOcgp+0x3jAuXh1d+vlWOY3t3wGvLNmz22oagSzkPMOnxHeLCj2LPnj3khzyxaMEKnMvS6o6J8vunJejzRusGdiP6oRewKrhQV4vLwywPB7H7+RpWzJuMoLxruoJvMdW+rahQXfqjSjcs91lxKOxHzUTJV/cdp/vH5UtJGF7UKbzVqlO6UuBq0Tl0eJKVt8DUdaH452jX59i/dBOyq27rfnPhwuVhkB8/KoDTmy1h9Ko9FF/pCkm+rUzDUCsHBGVfFX5/WhIKW5vhSK35XvjNRl7T/dahew8bjB49ug7jRvTF6217IVwpNvaVNhkDzU0wRK/OmLFj0b39m5ixK0aow4XLoyZXSy5izNChGEe6PmbMGNL7mYiT3NQdvVt+/ESJKX0s4TSi3k5GjxkLyy7vwmmhry4A/g3KtCj4+oWgSKFESXoUBrZ7Gi90m4yq7/9neUFcuPy5/PwpVo3ph3m7Loq/v6/ClH4O2BYhEX8blN9x4YA7Rizegy90IyIVCd5o/74FwmW1gxl3kBGw3oAf6oe2r/dEmPxLXT0uD7M8FMTu16+uIzkqBXWzwr99hCm93xKIU6vuAyD/RldOShd/PhaaG//0fNj95fvyRLz3hEjsbDyCdKVMfsG6sd1FQvqCKdLrhwX/q5Lmsxhtnu0L5be6Ai5cuPzP5c53N3Dc+zAWThyI59r1hryO2P2GPdPs8H6/tXozDL9g+RBj9By3i/5H8uMtXIy8gBu1PE8nd6oTMXHqSnwsdI53IEm9hEzlJ8KxevkZ62fPQGjJLd1vLlweIbnzOdbOm4Zj6bUDv38ulYVJiMur0P2qF1/3OdhzQSX8/87PXyAvX4KfhF+ifJS0F61eaI+oKv1SLlweLpGcWo3nXnWARG/1T9KBeXjunaEo+8ZwQvFPNzLRo82HOJKiPyDyG1YM6ob3+q4Wsz1++kzwQ9cbpX78UZOMSVNX4CPBWXF52OWhIHa///YLbn+jR9buSeyAH76+jZ9+/g0fVatQKpNDqVTi+qfizNWXH19B+ZW70yiuaYqRkVWAbwzmbfyA0twM5Mgrdb8byvWaMnz0zY+6X6J8q4nDuwaJ3R1sd+ktErun30ek9m7m9VmNEunp6VBV3zvd44/vPkVORjqyCzR6gSCT31AUtgdvt6L2HzfH6aRiFCvK8Z2u0nefViEjPRPXvxKd0i+/8BUDXLj8/8jviA/cg7A0NRIOLsITr9rUEbvfbpWi+zPN4bjhnFigk6Qtk2DUujPSbxJr+/23RrYuSsT2pZi/Qzcqiz/Ipu+u9UVpGEaO98BNg/0bFy5NW+QRW0Wf+vhLsHScitAMje7IveWXn+9ePPTrx7kYO2I2JJ/f2y+WRe3HgHGr8Qlf5cDloZUfsLzPO2htPQv682ef54egjdFjWHOxTFfSUGrS96GFUTucym4Ye6btnA6jVh2RzCYi7uGHzu9chnleF3S/uDzs8pCssWsk9yF2taJKPYqOLz8u1Jm2IRyVxQmw7vgKHmtjiliFbnHL99exy30+5rlvwd6NSzFo9BwkqetHtT9VJmPu5Gnw3LkXy+ZPxKQlu3Hjh/o0z9LQHXjl2cfwusVUqD6tH6rQJ3a2K0/oSpncxgIyOFb+3uAVuNVgdOMbBGx2weCxs+Dr6wuPGVPgsvowPm40AiK95IehA4dh3R5f7F7rjgnOC5Ci+Vw4pkk9gR6virnPzZo/jhdefhWvmo+FnDjx5YyzmD3TBd7+RxG4Zz3Gz1kK2Wc80uPC5f9DrhXEY7ffBWH27dK2GXj8Vds6Ync1K0BY67MoMEss0EnxUVey5Wfgn/axrqSR/HYTi8dPQGjp/WfiIhn584rU/eLC5dESVV4cDu3bifnOg/Ec2ZFRs+exPChdd/TBpfjUdji7etdnBjWSm2VF8FpxABWf3asGFy7/e/njGxXMXm+ODyduabDZz/faS3ivmRHGrI3WlTSUG3lH8ZjRk9h1qeFMdunRxeSHnsOxrMaZIDr57VO4Ok/A6eJPdQVcHnZpssSOkajF5m8LdUwGLIG0uhpBq4fR72Y4IEw1f4+d08xg9EQXZAu86FdM6PQ8nu02TUhrYqPodm8/jVccPdhBoCZOcBrD1oTq8u+BM8tYe4zAdcAldf16Nn1iZzJ3Nz6+eQvff3Edp3a6oO2zL6L/uGUovKJ/03dwae9Mof7myCqh5JNsP+H3oGXHxVQsklvS83j7cSN0HrlHV3Idvd9qidbvjUTZV7/jh9vf4NTu+cJ5T77QH7mXv8N33/+IO798jImdn0e7gSvF074vw8Klrsi60Yg1cuHC5b8uP32hxNa126HRBYTnt05vQOykYevIZh/DjqiGMw1lMTvQkpVHqHUlDeWL0rMYPn65Lg3zHkLkb9G48ThVzDd84PLoyzVZBpzNKTZo8QYiZOKA54PJz/CaO+kuG2Ty61eXEbx5GTq+8jgeb2uJkOw/nxHkwuV/JT9dSUFHihOdFgfqSkT57WYeej1rhL7zjulKGsof31ZhaPun0LbPcoqedWW//oQz7qPJP71GxK3Rbl86YXtKjBjnztMwm5A0YWL3FZZbfSDUeaP/ErBU4z8+VWL/nmB8RIHQZ6SMjKi9aj8XV7+/jW9vf4EVFmKbfoXXkH7YRfj/eK8wfHf7W9wuT0Vn+m30ohXkX4uzdr9+XoHtnm7YfTYNv+rt16JP7Nr3HovFM0fhleefEX73cTl815bJv9woFAzO6PEOiCgTk5d/v56PHmScRq17IPUam1n7DRvGERGlNpwPpQh1hLUzw3oJZa7HCoSSBL9lwu8nXxwC3X4KxHHLYf3OE1TeEnZjFiOv6gt8//3X+Pxrnk/Chcs/Kz8jPiQYyRX1ix2S9s7F46/3xmVdnyE5u4ZsszUOx9eIBTpRnPNEc6Pm2B4hrvlpKH/g3A43LDkYr/ttWD4pOofR09fhFp9k4PIvkTu3JLB/40nYuAXrSv5cfr6WjfHOC8ln3p2Geefn26hSKxB7xgc27Z+H0VPtESX5K6SRC5f/P/npcgo+aGWEER6huhJRfr6Shq4UlzrOP6oruVtuSGMxzNYWo2evwdHwBMgLkzD8g5dg1NYOki8NbUr4B8J2usP1QJzuN5emIE2Y2H0JN8v3hToDl/jryuolP5SNkhvh6fbGcFu3HuvWrcW8yc4YPmw0zhRosc9VXAvXpd9YrF+3DutWumPSiOEYOt0d0s/vn8KoT+wcN53HHz/fwHizN4Xfjz3XGScKrutqinIj/ziepWNGL/dA4hXdouxPpRjQhrXxMgJS2Gj7LYwyIwOjei7BOWIdooiHxtoJZQPnnhRK4n2XCL+ffHEwpHUZWr/h3LYZdVs7t3q1Fw5FlNz/Gz9cuHD5j6Ukah+Gj5qLU6HncPrUKZwiLCWbbfncB/DyP4VM2RVUpfuQbbbApnMy3Vmi5B2eR/b6NAIMpGL+8W05po+cjuTLDdf3NpQ7OLZqAVYEZOt+c+Hy75ATK8ehy+DNdw2i3ksSDq7FDM+zul/3lm+UUXiNfOiwTeG6Ei5cHi754/NS9HipGWzmeutKRPlWHoG3SHfH3iMVs05++RrFOVnIKtXgyys5MH7OCJ3GbIdBT3O7EjNGTkNi9f92w0Iuf02aOLF7T6gzcXXDTQmY5J1ZKxx7rPNwVNylsXewaYaFcNza1U9X9uCiT+ysdZunfFZ8Du/oytp0Gwnlrfrtkj/KD8YzVG7Uzgw5n4iu6OfLWej+DKv/EvySWO7yZ0TsXhbOXxFZItRhi2RXDjUWygbOFkcn43zYupzGxI7Jjzi5awlefaqZcNyoeTsEZjT8ThYXLlz+uxIftBHde3RDpw87omNHEW+89ByatXwS73ToiAX7YvDL5zJ0bt0c4w8l6M4S5cKa8Wj2bC8UfH731uo1if4YNm0r7rvx7bdaIn+TEV/VaCtNLlwecUnb64EJy4492ODlH19g+aRJ8M+8oSu4n3yPhTZvw3b5vWc9uHD5n8qdrzHf4g20Hbq8ARn7OP0YxZlPwCuhWlfy5xK8tB+Mmr2LSKXhGerLyQEYNnULvuWzBE1KHk5i9/tNTO0jrp9r1WPgPbb1Z6mY4ozdxDV3E7uadH88yQiOUVv4pul36Hfw0y+/IXjtGOHc598fgXI96/j9t5/x869ioHX7mhSrl86GZ2AsftKLvb4rS0B7HYmzXVmfDnJxvwtaCdc0gsOCI3WLtH+9WQzT56j86c6IuyKmR/5YnYa3WrKyHki9ypKXf8eWCSLZnBlYOwJPTmZgJ6HM9VieUJIS4CH8fuKl4Si7TT7rzq/47tOr0NwQDbM6JxwDTMV3N373n4zccOHC5b8u0Ttm4fHX7KGtG+T8EatG9MB7I7bpBaK/wn1IT3QZ4WVgM4c78F/hgpX+95+Jq0o6ihFTttStl+DC5d8h32CHmwdC8xtmxtxLvtXEYsSopbjv5HedfI1lgwdiR6Sh9GguXB4OyfCZj1btnKDRm0hLOjQPT7UdgLIHZGFlsfsoRm6JxT7JupLGcgcBK13gcaThpl9cHn55OIkdbmGC1WsCOWnesS/UBpeKfYsFpu2EOiOW138kvE5+/BQeA7oIx1/oOQyxxeW4elmD1JQsXP36F3xTmQLj51sIx61nb4PqykfQKoqRklmKr38QZ9UCXfoLx42M2iNKVR8+/aC5hNdaiATOYoneAtY7X8FjSDfxnGbPY+3x3NoDiNwyXijfEiOus6mK3SX8HrHqZN3mKTcLz+CN5kboOvmgWPBzGUxfMkKbLs4o/1pMD1VG7BTbb22CU7EFkCtr8MX1AgwdPQ2JWnHx6+VLG6nOUziY1HBNDxcuXP55Ob9lKlq8ZAWF3jeGPi0Jh0233ogrF/uRr2SRsO3VB+eVd3/w9Y9vNJg2YjISL98v/eV3+C+fg+X+mbrfXLg8gvLTTfjv34XIHBVu3bqJq2VFOLhpA7YdjG3w/bmfPtNi96atuFR897fu4vavxHTPhuuRmPzx7VX4bN+NVEX9d70q0k9j5boj+JwvT+fyEMud29WYYWeJ1UHi3gv44Rpm9bbC8mP1/uDOz5/h+F4v+F9qtCzn9x+QHXkI5u26wu1Q7L3TmVlGCPmheJ6G2eTkoSN2VaVJ2Ow+A+2efgwtWrRAy8dfwYTFngjLVuhqiCJPPIJOrz0j1Hmzez/4Xcy9a+T79pVSLJs4EK2JCLV85nWMnOWBVPmNOiWXJ57AUDuRiL34oRkWbwtAtV6PXnJuN9q90hrtHeeh7HNq/c53uHT2GBY4O+Ixui679gtvWWHtTn9IbogB29dVabB9/yU0pzZbtO6AZbsi8CW7sd+/xoldSzF8wmzs378fc8eMhuvGQHzRKAtLFh+IsaNGYZXXfnguno2xzsuQf7k+F/W3Ly9j9URHPN6iJcxHLofqBrm3H2rgsXQ+1u30RZDPfnjMnQWPbaF8+pwLl/+BRHnNxFNt7aGo+0C5KLL403Bfthp79+/F1vWbEZ1j+HtDlYkBGDN7B+6XYHmHnO7McbORWMmdLpdHWL67gRUjLPHEE8/gpdc/wNjp8+EXlXvXt7Y+k57Fy4+3xnTvRp9B+O0WVkybgcCsu9Mwf/+qEpNtP8TTbc2wavthJKamISE2ER//cHdqNBcuD5t8WZ6HTW4e8NyzH9u3bkbA6SToj0f8+oUMNm88i56zfER7+elzhHvvwXI3d8x3XYrI3PunbFYlH8WYWdt5RkgTlIeO2H15swZFJVKUV1WjpqYGNVUVkJUWQ3Ot4becPr1eCW1FlVCnXKuEqvL6PUYe/sBHl6tRUVFd9yHvBvLLbVRXVaLymv7X+Ovls5vX8MWPuhP/+AUVailKZUpUs3sjVJapUVwkwc3b9SZ1+/OPxWMVGkiV1fhR78a+/qgKhYWFqLhx90h9nfz0FSRFhShRVBl+pjs/40p1Nb76WeeAftfV+v07KEoKoarh3xvhwuV/Jd9/dQuXr36MXwzEh999doXsvwiffHfPcVJ8//VnuPX1/dfN/fHLd7j5yecGPybLhcsjJb//iJryMvL3V6BLprlb/vgVtz6+idu1vrpWyFd+cvNT/HSPQc4/frqNSq2KfHgxqj82vN07Fy4Prfz6NYopniwzGE/+ga9vfYIvv9XNbf/2A7TFRVBUPMhaU+CHrz/Hp1/x9dtNUR7SVEwuXLhw4cKFCxcuXLhw4fKgwokdFy5cuHDhwoULFy5cuDRx4cSOCxcuXLhw4cKFCxcuXJq4cGLHhQsXLly4cOHChQsXLk1cOLHjwoULFy5cuHDhwoULlyYunNhx4cKFCxcuXLhw4cKFSxOXf5zY/fjjj/juu+/w/fffc3BwcHBwcHBwcHBwcBgA40x37vz972n+48ROo9GgoKAAxcXFHBwcHBwcHBwcHBwcHAZQVFSEH374Qcei/rr848ROq9UKN1laWsrBwcHBwcHBwcHBwcFhACUlJZzYcXBwcHBwcHBwcHBwNGVwYsfBwcHBwcHBwcHBwdHEwYkdBwcHBwcHBwcHBwdHEwcndhwcHBwcHBwcHBwcHE0cnNhxcHBwcHBwcHBwcHA0cTwCxK4EpVIZyioqUVVVjepqEVVVVaisrKxDFSuvKoNMQg9tsJ2HA+wPIleq6Z6r6p5FfJ5KlJepITFwDgcHRz1KSkqhUGsb2E9lObMd6iv06kkkErI1Fco1akj1yuuPS6Gidlj/UVFRBqVcdlcdQ5DKFSgX7LcKWpWS2jFcTyZXUj1qu0wLuUxqsM69IJHJIJfL/1Z/IKX+UqPRQqOQCf1N4+Myun9teQU9dwU0KoXBa0hlcqHPZe+2TKOC9B7PeC+wv5FKU4YKrRqlBu5BqFMqEe5DS/fA7lNC961Q/L1n5nh4wPS+QvDVVffUL8OQCOeWaTWQSyUG/LgECpUaFYLPr4Ba+dd0RSKV/k39ouuSz2bXLSd9llG/YrieYdzPFoQ+iGxV6IPKy6DQ9UHMNuRkp3LZX7sWx8MK5ov0dIj023A9w2D9ca2eqORSob8U9EpbXucD9VFZriE9N9zvNgDpn1yh+Mv9O4NM8ff8G+vn1cw/kf0a8k/sntS656qktmvfFesPZOQTFfT8d53zLwN7b02a2DGFLs5KwLZ1K+G+fDlWrlqFVYSVK1dixYqV4r8ey7FkyRKsXH8QafnkHP6i0fx/QkHBVty5IHjQs3h4rBCeZdVKD7i7L8emnf7ILZEJ5NTQuRwcHKVQqpVIOHdMsH0RK7Bx1zHkSWR1DkpKxEgqLUVmQhS8j59GVpFEz3mVCORMpSzBuWOHsILaWOO5A+eTcokQ3X9whQWWpblJOLB5PV13HUKiksjhioFofT0J1Go1cpOjsG31CqzxOozU/FKoKci9F8nRh0KlQmlOGi5eikMhObm/EhjLyekVF+Qg9GQggi+l1AWKDCxYVNPz5aVFY+/mtdRvrsWxc/EUHLD7r2+HBSDy4kz479oqvF//0GjIVRooyHk/2KCZhAizEhdDfLHb9xRKZBTcN+7TWECrLEXwoT04ciYGSiLgeekJiIxOpmvR9R/iPpzDMJh+KelvV5QZj70b1pCv3oAz0amCzv2ZT2OkS0YkJj8tAUcCjyM2q6ghqZHKyTbl5DuPYx3Z+8qVGxBynmxPrXkgf8kGeGSF2bh0IRp5JVKDAz0GQX2KhnQ5KeIE1qxYgW3eJ1AoU0IlDJoYqH8X6m1hzxE9W6BzGYlVygtxym+f0Aet27QH0ekF0NL7kpcUIvZSFJJzSqgvURpol6PJoFaHIkOwlnRo6+FgFEgfUIeon9SWlUGSm44TRw5gucdKnIxNJ70hgqOU4nzQQZ0PbAjPHQHILa33h4Yg+EBpEWKjLiAjv/gvkDudf0s6j62rV2LtDm+kFVCZ4N8M1a8FG7ihZy7MRdjp4wgi3ylvNJgqIftQK0oRduyw8Bw7fUOQL1EKgzjMzlPiLiImNZf6FNXfGKB5dNDkiR3r8EsKshFx6igm9+0OIyMjAXbOK3Eq9CSCAgPhd3gPJjp1R/MWPRGcWAqN8sFG3v8XkFFwlJ1KzmvHCrR9SnwWI6MnMXHpNpyNjEEhOZ17zQBwcPzbIZWrUCZJxbAuL9T1BQwWzhshpb6EjaYz55GTGoe9qxbh/bbP4UnTMUgoURExEQNFCQWJyuIMrJwzCZNcPXHsxEkE+u7F+KGjscEvEio2C9fougxKjRaZkb6wePvF+ms/+QqmeOxHqaI+eGVELzrQC6NGTMJ+/xD47V2PkWOm4nRSITQq+V3t1oGcopLOzUw8h1VL1yI4LA4ShV59Nrp6z1k8ClYlhbgQ4o9p/S3w1BPUp+w4o5vJFOuoKGCMDtmNsVPn4GBAMEIooBzt6ADnFQchZ++O6jACV5wSikFd3qp/xhZPY+gsT+RKVA80gyBXlUGaegY9X34c7zi6oFhdcddgm7qsHMkhW9GmmREGLDkkjPxKClOxY6UH1m71RyndByd3TQtsRiHlzF70JJur1Z0Wrd/AXE8/SInw3StwZLPThRS4HtvlCesP2qL568YISCpGWa0fZyP4yhIcWO2CEdOW4MixYJwMPIJ548divucRavv+M8psoKAwKxrr3dfA9/h5lDSyITaDYHjGQQqNVg7/jYswZtJCHDt5BjvXLcLoaW5ILSFS9oC2IEk9LdjCu/0WoERnCyyAlecnwnWaM2Ys34LjJ0/i2KEdGDV4DHaciEV5mQrxYceweLYbTl7KIFJL5O6BiCTHwwUiZqRDRze7Cjp0NOQMdq0nHZq6FKnF99chpiMV5SqcObwO1saWmDTXHbsPHkF8Zj6ROg35wWT0f/ep+n5aD+84LUQh6d69ZpelciUUpZnYuX49du4LbjAoysBmkuVkl/rniJAIA4EXArZi1MgpOHj0JI7sWYcRY6cjNKXoPrE3m3ApxqXTxzB7iC1aP9kKIzcep+djM4tiHfa8GlkW3EZao6Xes3TrPQlRacXQkg1kJ0ZgxfwlOHj8ItR0H4Z94aOPJk/sBJDS1Vy/gou7l6G18Md+HDM3ncO1jy7TH1uLiurLqFLnwHOWG4IvZUOpeHiJHRuhkam0uF6Wj3GW74nK28YKoZlq1FT+exWVg+NBoNaqcHK/J+Z7eCEi4iyCgwJx9OhxJGUU1AVnUgqcsjMzkZFwHiM/bIPHuo1AikRdR+zU2jKE7VmAdsYDkSCpQFVFGS5fvYzTm2ehbcehiCtiDrdhoCeSwRTMHtAPw6d7IJACMZ+da2H8FnOsL8PzWCzKyPHIiOCVpofC5r33MW/nWWr3Cq7WqLBuYm907r8QBQrtPQmLnJx1SdJZTB49Dd4RadS31Y9KSsnpFaadx85du5FerDCQlUC/SwqQkZaBk9sX4zHqV6bsPVdH7KQKais1FH26mWCVfyxqaqpQdfkKMs544ZU2b2KNfxzKylj6Zh5WOA9Hv5Hz4R8cgoBDXnDs+qrQ584noqj9E2cqkSqgludj+zJnPNuyJXqOcKNgtrzB/bJ3JMmLw6Ix9mjZ/DGMW3UEWpZyQ8GGSpKF1VPGYe4af6iojPeHTQNMP2X5cZjSpw/GzFuLoFMncWibB7q89jiMWrTDjjMpKFMrDJ4rId0oyM1GVloSlg/pAaOnOyEotRRaXZAoJ3+ZE7EP73Uyhm9sMa5UV6Cy5gqySXffesMEfjEF0KoM+3ym94rcWCKBU7AlMJqIWsMZeTY7HnPyIPb6n4Zc0XBmTKnWIjFkGzq82R37InNx9cpl1CgyMcq8MwYtOgDNn+hnnS0sFW2h10j3OlvQUNwTtGEq3rEeh2wVS50rw9Wr1TjiPg5v9XRGukwr2GPyqQMY7jQBIfHsGe8zKMTxUIINBiaf3I4P3uiKvRHZog6psjDWqgsGLNgP9b10iPxNmUaKfYtH4oXX3sXyw2HUH5ajXMiukApZK+ePbIXzpPnwCQxGUOAxHDsWiNMh/hjbxxLzvU6jTG9Qr3HbWnkePOfOxKKtQVBoGs56sxTLrOgQ7NjnjQJpw0ET1neXpJ6C5bsdsGhvBC7T81ytVmLlWDt0HeiKImV96mRDSOheCgX/dHafB54i/zR6a4gesSObKFPi6IbFsLIcht1HjiE40AezhpgJMbLZuLUoJntUqzUoZD5ywEjsCE4QBkDuvtajj0eD2LE/eoUW4V6L8bSO2E1dF4KySi2kpcVIOH8BBXIFUiLO4EJqthA4ietnNNQ5lqGcOk02lcvaYsSKpRqx9Xo1NTXCujaWy87WzNTo1gQ0uDa1w9JL2HQ4y48W8okbKK64jkdLwWJZebkQjEn1R0nofG15JaorK4TAUph6JydYLk3HGHMdsXveHMcTiuna9yekLC2VrZ0Rnonuo0GuMV1HoVQKU+Rl5RWormJrEMT1DUwJmEHWPjN7ThaEsrQwmVyFyioK8uj9MuNmdWufWXx35cIUu2B8dKw2P7qcjqnVKjqmEt7Hg6WlcHD8fbAgTZYVCYcP34ajszvOXUiGtvoarl2phpJsQdDd2royJaprFFjl9AGe7D4cyXXEjq3r0uKQ22A8/kEfJJaWCzMDmvIqXDy4DK+83hvn8+TCOgb9a8vIxhPP+GDd9gAoKygQq6ggp3YVmWf34uVmRrBYuJvapbYqNPBbNhzNn++B0xnUrkIGlbYCCcfW46nmL2L18XiUM9vTa1uAhBy5Kh+uo/pj8nI/lFeVN3DKbIS1ICEErkuWIalItLkG5wugfrKyGgWR+/H6Yy0xcXctsWNOswzBm6fiiVbGCE2ViiOrFHhWKHMwpmtbtLOZjcKyy8iPOYHVGw+gSF1JfQL1I5evQpp8Eh8+bYS3R7pBqi2/z+wIvVutDAFb1sFz+wEM6fkOOg9c3JDYCUFFDra4rcD2PbvQ+cXnMWK5j0Ds2POyGQ5Zxlk4Gltjy8kkIgM8Da0pgPnA6BMH4bnnBLSkgxXMPq5eQdLxzXiWfJzjCh8K4u5NhCQSGaquVSLQdTCM2nTCsZR6Yqck+4n2dUOrV9+Hb1wJqikAlJNOFUf74O0XKWAOz4ZWbYD0kB8r00qxec5oDJ62DSrywfoBLIOS4o+ww6uxfJuPmGZdd66MdK8Yrv0+xPM9JyBXVS4E1GXkJ32WjULLZ7rhRFr9Pd4FigG0GtEWNmzfL9hCl0GuOlugdigg3TLLFs/0GokcVRXUCiqjGOTkpll47d0h1C9Rf0W+tqK6HP6rpsNikAuy7zMoxPEQgumQpgRLB3TGs12JwCvLdDpUBr/lY9Hi6S44nlJsQIdId0jPQrbNxmNGT8L14Hlcrq7U63clpMdFuBQZjrQiBapIr1mcVll9FVUlsRhDpOdoXP49Zs+YL9AgxGsRrPrORQ7dU+NZQzbDnXbuIBZ7eCJPRjG23nW15N+8Fw1G8xdNcS6L4lHBv5Uj1m8Vnmz+Mjypzy7XGB7AYeerK6pQEuuHdx5vgRGb64kdGziV5yVi07pNuEDt1tDzVlZRrKrOwWST12H0ljUuFCihkpHvqqhEXMAG9DIfjohsikfJdgxf79HFI0XswvSI3TTPU6i+fgXqohTsWLUHKcVs6lhUUDZSplXLEBnsgyUuczF7ySqci8sS1s8olVKcO7INkydNwIQJE7BmeyCS4yPgMW8KnCe54HhUKhEknWKSYWq0CsSFBWHF0gWYOXUy1u3xR16pXCRp7L60GuQkncfmVUsxd/Zc7Ao4BxkZhtABM7IlKYDPFndMX7IWcdnFdB4p4d8gdoyMKkpzcXTvVsyZOxdLPXcjNY8MhRFWdp8qOVJizmP/jg2YM3MaJs5bgVPR6VAR8VJSncjAnXAeN0545gkTp2DlFj+UqrWIOX0IUyc5w3naSsRkFFNdJf1NFIg5ewzui+di5kI3nKB3wtZJsE0ZlPJihBzehrkuC+B1wA8hZ0IRk5InPpeB++bg+G+B2drp3Uvw8pOPi3ZD6DVoOsLTyTneNSBDTrWsFMv7vt+I2IkpY7FEtFobNUP/WdsgK7+My+pczBvhgLErDgkBXmPywmYVslKSkV1YJARmrEwqV0Oddx7WLz4H503BKKdgtkKRg7HkiFp26o/EEo3gNNmMQ1FsAN6j+7Wdu4/IFxuQati+SluGiz4r8FY7S5xMk0LbyFkJxC7xFNyXr0DyPYldKRSaMmSf3Y3XGhG7MnLm+90HwahVN5yqS1eXorxSjk2jusPoOVOEZVNfkpOBzNz8ujQciVRJ5C8Do957BX3m7YSKCOK9gnM2Op0W6Y8FyzahuDQHw7q0xYcD9ImdGFSc89kE9y0BkGSFo8MzrRsQOxYQV1ZQ0DuzH961moFcJQ9mmwKYfWSSfeQUFdeReJlSA3n6afR67nnM2nNO3Dyk0Xn1oKCxSgO/hQPuInasncKEILz/lBE69J6LDEk5blxRw2vBSNhPXE7BJ/lbA4MNbIOlzLA96NCWyF9kLsoNkD+W+hzh64nVO/0aEDspS63OCEOn55rhg7HLIdOwAQ0JVBRAxxxYglZGLbDw4CUKqA2v9RFtwU9nC9mCLXSuI3YsnU2LcGqnpVFLjFl6EOqqq6iUpWLSABtM23RM8LesXSk9uyLjNLq1exeu+8//a2comiKYDsmzItClTTO8N2oZJPS3r9WhuMPupEPNMX9fFJGbhjNrTN+LE0+g4/Mt0XH4SpRd+4iIXVWDSQW21pnFY/qzY6xvDt/nDsdRrsgnwtZ4EIOB+Sx5TgRs2nfA/N0Rgn9oXIcRu/Rwb7it2Uy2panzhSyuLpdlYWT3l/F4tyFIKdXW+beCi754m/xbn4WHoTXg32ohJ5vMv+CNtxsTO3ovRbnZSE3PoPdWa6dSVNZosG20BdoZj0aGXAsFPS9L2axUZGCo8QcYMH+/wA0M2eCjjEeU2LXCuGXeyC9Iw8YFY2HqtIQCADadTH90Yv4aRTG2LhiOth3s4RsWgz3u4/FS2+7Ydy5V2P2uJCUU5m+3FgLD517rgblL3THMupPw++n2DghNKRZmu7RaJY5tnI227Xph54lIbJneR6hjOXIlcsmZsGAp/oQXOr/VHtPXHSGStA9d3nwDI1z3Q0YKzEbJE49twvPCPRth+FI/QemZYv4VYsfWFcny4jChd3d0dZyFiwmXMHOAMdqbjEJMnhyVWgl2L3XGux/2QeClNJw7uFJYu/IEObR9YanC7F5RRhRGmrQTr2f0KrYEJYjpT/nRGG1mAedlh1BK1ynXyOC9egpef8sYO4OjELB5Ll5+pQM8j8bg8pVyHHFzxofGg3EuJRsR3uvRrXt3bA/LQIWhEVMOjv8i2NrTvNwcpKYk4MzRw5g2wFLQ5xd7DUN0Lhu507Of+xA7YZddVQm2zh2EZuRcHSctw+7Na+Gx9SAKZPcmTWxDllpSx6CgYC/9jBfee8cSgXGFdL0yyLMjYfp6S7S1JVIiZyO0EnLU5DxTT6FH6+bo0m85SrTlDQNRutdydTEWDuiMl8ymI5/NWgkbvBCpqhR3/WUzZ5q8KKxd54mCsmuCo2flldSfsWvUbmpyL2LH+qLQXS70vp7A6mMJqKkigiaRo+ayGhuG96DyTvQMRcI6BrYOuPbeZBQglCQGovu7PbD9ZCodNzwaK/RR2dFYPt8Np5JKcE2ThYEfvt6A2ClUGmRHBWHhAk+kSiuhTDuF9k83InYElnIU6+uBZx9/DZvOpN9nBJjjYQLLKGkQaGorEB+4Hu3fI5+aVvonI+v3JnaC/ye9DPFagGfIr31oPxG7d2zBstWbkJQvu2t2XQSbFVNi63RbPNl+IBJL1EIQyjJLWIqlYDuEqx99hITg7dh0KARXrl2vK6+5cgUZ53bhueZGcJy3Wxh4YcGnknQz6bgnnqN+Z6z7UagNBJX6tnA6uRTX1JmCLegTO3HmOh8rJtiR7bXC0NmrsHPjaqzZ7Y9SIZbRtUc2Wq4txFzr9mhnP+eeATvHwwfWF2eG70GbFkZwmL0DSj0dSgkR48JRS/0b6RCb0VPh4MKBpBePY8nekwg9ug9LXRdh4+4A5ElVwqYrja/FJhHKtcXwmDgcszcFC2mYd9UhqJkf8JqJls92RADr71XizpTiTu2i7l8mOyiJD8KazbuhrPkI1VU6H1RzGYrMc+jxSnO81Zt0UVHr39gSgmB0fbIZegxajVJ6PkMDLQz3InbCcXoGtplK3W+WUaLIxGjLnhjrRrFzXV02u63Gnhm98XQ7O1zIU96jD3h08YgSuxbo0XsMFs2dhLbPNsfrVgtQRMESI3YsZ/n8QQ9hjYnF7N349NsfUJl5Gu3od1u7WchRVuIadZTTenemdozwatchiJddgfTSYbxDBmhk1BLzDoTjypUaZEceRtvHKXC0nwXZlU9QeMkXbz/bCi90GokUSSU0uRdh1+5xGLW1QZL6E/zwRSUWWr0Do2btcPhCDhlDBXIvBsLirWdh9PSrWH4gEhqt6q8RO5ZOQmRrq45Uuh1Lxs8/30bsPlfh98g1x6HJiURn1o7RY1h3LB0faVPg8M5jwvHec/dCRe+OpYNmnduLdvQ8Rs2exfxdFPRRcFiaFoV1nnuQJdVSZ6BF0ontAilsP9wDl7/4Hh/J4tHjMSM8020c8kpyMKzrC2jepiO2HIvFjY+qcdxvN5HnlId6wxqORwfilvhK0me2Nk4F//Uz8STp+TAPn4brFe5H7KhTlCjUuFotw4qR5oKdPPmuNY6To6up1FKdP9+5ktllZbkMnjPGYOzyQ+S0NcKW6KVEVro9a4SuA91QQsSPBWEsDVqecx6WbVvhPfv5KBDSuurbEkZRs8LRs00rmMzcLASRbAvqjNiz2LRuHdYR1ntuwOqls+Dk1B/L1myE53qxfN3mPYjPZDsIio7NMLFj11BCkReHEcZv4oWOg3EmIZuCjBKknA9Cn/deQou2DojKbZyCymb0NDi8fDoGzPCkoFQv4NQHe9dqCfZ6LsX6Q6HQVhDplKXVEbtSeg9yhQrq0jSscF1A/UUqKqqqIEkOqSN2ZeX1M4GC84/xxeuPP4bhi/3+lSOyTR6kE5XaEiHQnOoZQLbZcFbibtyP2FEgQwTnyrUq+Hk4C/Zq9PQ72HwsDjWXq+6aXWeQyKiPKE3GgHefw1uD2AY+jFCxwLEUEUGHRNshbNi0CfMnDcHA0ZOxYeOmuvIDxyMRE7xZIHDjPQKg0aWRMvvKCNuFl6l8yMIDUDG91b++zhb2rNezBUlqHbEr1eg2EqI+SKrU4kp5EVz6dRGeqU0nJ4Sly1BdoRGOi22S/y8ngjrHAc2e7oXQVEaQua9tCmBELokIHNOhMW5HoNbTocyIvXiFygfN39dQhxiZkWdjnHk7GD37NlYfPImEuBgEe2+C8TuvolufuUgpkt+9BpwNJqSfxaDeg4iwFZLtGCA6pJsV2lIsceqCVu/3RmyRWkhtlCvkSIg4Xqf7nmQH7vMmot+g4VjluQnrdeVb9wciNfaE4N96DluJUiHmFv2bLDMMZq+0QMe+i1DYyL/p477ErhHYAF9S0DbYOU3GxQJFA9/ENt8K3T2b7OZlbAtOFZcW6Z37qOORTcWcuZltnlKDCP8tGDF2JTKFkXZSXE0JlowyFTpKm9HzcdjHFztWzcer7LxnP8TxNDk+KsvHJLuOQh1jCsCkNTdQHBuALs+ztptj/LZT+PijKuxaPEyo8+H4pSghZVUppEiMPo9LSRnU0VcgyncVmtHx59+3xsbdh+B7aDv6t39JOGecbmGoggK0zORLOHshjpyNbjeuByR2bJ2gQqWFigik1btshvFZTF66EX5+3nBzdhLObdN7FgoVEuxePBlDR8xERGoOwg6twnvPNReO20/ZCUVlGaRSOSpU+ZjT50Oh/FVzZ+RqqxDmux27A85DQ463QivH5jliuz36T8b+w77Yu8kN7dk9tngD/rFpcB3GRvfp92PPYcD0FUjMkwqdzP2dNgfHfx9sZPxyhRSLBnbBi+bTkEe2IpfoyNv9iJ0wAyBHyL4t8Fi9B37716FDm8fR4oXu2HsmWdyBTu86hsBSqRJO7sLYya5IKmIjhhIh9UaacRY9X2qBD52WiMEkOT6202RJEjnEVs3woeNSFDGio/95AXJ2ueTsXmjVAkOWHhI2VpDJZMhJiYGfjw98CL5H/HHQayVGjxmHHYcCcMRXLPfxD0Zabn36272IHdtRj43KluTEYtXcKRg6djJW7/XHGb/NwuDV204LiXCKI7C198VS2XIuHcX/tXceYFUc39+/KnaNxthjEjWxxF6ixo69EY1dsXfFCiJFFBQFQbqKKEUFAaUIAtJ773DpXewaY9TYo+j3nZldqmBifsn7BzOf5zmP3tm9e3eXOTPnzJw5s2jRGjiHJLH1FKXHKoo0PQ2eNqbYq30aGVevsbURt/JiIdenM/rMUkL2tVvEyE/BmSMHcMTCHUU3rqGg6BpyopzxXcsWmK9ujRs3itkoLwsxooZCqBN6tm2IAfP2IIWFwb3/u1xqq9AZ4mxctjyIhSuVEFpJ92qSDzt2NKPrFbvj2LFdC9anDCHbl/Sz9dpjx1F7Fk5Ztf9JSctCCjF0e7RphKGL9iKV6AUNg0sleuftcl7QHSKnLC2xb5s8Fq/dDovTp8vKz7v7w89eF63rCUa54NgJsy2+p9XQkvSBP++0eM+xk6ZL4WltCo1DlqIuXMWt3BimC/1+2k104SZzzBKJw5aVmYJTh/dDbb8JjuvtRpcWMmjW5UdYuIWRY6Wz1DSMOhvH1YlDW78d9C6EILeGJDRcapekkzoX7CjUoZ93HBccu9JZX2sNtvZ09rYTyMgrr0PUQcuI8cKP3Zrhi1ErEZtZQOpCBgqLi+FxXAn1yXeWH7IjdaLijJwwoXFedyemr9BAImm3q923lYZSpoRi1uBOaDNoAUJTsplephKHKcTbtazunyR6oK+hgHlLVsDkpCXMxXJLu0uI8LfHgDb10X/m7rKBS2k6seF9rNFHRoJ+03YjoUr/VlH+qmNH+/aMeH8oLFsMPZokJbtyCDJ9t17W+8j7aIi1uvZsb8CKxz91+WQdO5Y8pTAfmamxOGtggaAEUmmI45QjjcKaaYLT1nvaUhgZG7NMcqbHjuEYMYKC4lJRmBFV5tgNnLINCfnXBcfuc3rtBpDXdcSta+nYOXcQO6fr9E1CCESKkJCFrmujU9q2ehvY8QZd+mLPYQMY6uvD0MQUx44dx0XvEDGkiSpdPoryBSVgIVN/wbGji8kTYkPh5OKPhGAHDO4iQ86VwcyNe2BmZAB9A0PyO8dgYeeCeGkWrhPDKNSNGGFyc7Fh81r069SEXVt2pb7g2JFrZubmwsVYEY3pbzbsCK0TtjA+chTekcSIk9JwMDrCOoJ976vRctA3MoG+3lGYmJF3Z27F0vNGXT6NYd3LU813HfoznPxiqw8P4MLlXxVi9BC9st2/Fr2HL0c4XY/1Fxy7NKLDPjYH0affBJwJSMbNG1cR4W6JwZ0bo/FX01h4c42hHcRBot+PC3TCho3bYecbLWSrI79LO6PsBH9M7tka7UfII1IMxWRrEDxOoivRl7GrDZAp6mPpNakzFuhwmIWZzVY8zhy7ZDqiT9oJ2j5SySPOUlq4C9TUNRCVcRUFebniMWGbhQ+HYgrHWEbetHTyXrLYGro88u6sNJYQPW6EHSZ0/U5558jWR0V7Y8cWBRx3Lh0RpXsBVjbQafRBTlIwZg7rik5de2HQgP7o07cv+vfthVZNGqJJqw7oM2gCDhnoYXD3dujeuz8G9O+Lvn37oW+v7mjcoD5ad/wGA0bNhq2vsOCfOnZp4a74vkM9dJy+DvEZtO38M8eAS20Rur4s2uc81m7ahYvBYgp08vejRm115wvygTV2pD7E+57FyAHDsc/GDzdvXYc00hOzh30FiUwPnLwczdaYV7xeKmkL4ryt8E1zCYYv2S86doKe0AGOUr0qunYNV2wOQdPkLAqvFpeV5+QXEmPVEl2aEJ1drwOaIILefyYxwi8bboMMsRO2GLojN69cvwRdCMLMHyrqQr8yXWhKdaHfSOie9UYhsV0uHduD7wfPhHNkBm5eL0LgBRP0bCXB530WIDAxg4WOsjaOGO0W+1YwPVW28Ub+f2x2oq4KrYPxfjb4umk9jFqtjfTSOpSbA0+TnWgoqY+N+qTdrViHpOnIivPB6O6t0G3CRtb20T6EtomZsZcxvGNzDJqliVRSD2m7z76TQmy39Ehs+GkmFI3dkFfDOkyaUCwj3gcTe7VE2yFLECY6dqxfIL9bWvdptuQ4LyuoaukhNf8acb5EncjNR06CL8Z1b4HOY1YiWgzFpAOA0ZeOsai4CRtMSf/28WvsKp5Dl1PlZMQT53IX9hjbEd0TzqFbn5WeQx07nzPazAaV0zhJnjmr0jU+dfm0HTtWgRIRHhyEWHIeXUyalxGLDbP6sz94Hzll5Ny6i6sFecSIKUBRQT5xYNKRK438oGO3VNcet2/kQHO1LDunacfxcI4gjXZpRyOVsgx4F8RwyHqtB8AhLBt3iIFIEyjQHfNzSEeTkECzTqaxPXp8g8PL96D6C44dNQaDXMyx1/Q8MqLcMfRr6qjVx/IDjrh3/w7LykezWRbl5yErNQ5Hdy5Bh2b1MWb5YSTHeWF8t/cdOzYKEnMF03sJs4rte4+F3rnLSM/MIA1OCvKyUqC2gsb8S9B55GokF91BMemA8vKIY1pYgLTkRNZp07TrK6ePKNtrZMJ6XaRlCx1n+d+MC5d/XuhMVvk6nmTkF+XCcu9mLNiog1RiAJV1EjU6dnQNgxRqcoPRe/JGJOfQbGOkrKAQgXaH0alVR2ic8Se6IIyKp1ZZN0SduuQIb+xV2otzHhHIJ7pFs9Gmk3Pi4uLJtdOhvXQkJF+PxuVYom/SZKIzuQg4q41mkpbYfdoLedmVDTNpJnHG3MzQumE9zNhhKjh2pJztJZSWxmb9M0hHlhR0AXtU1BCSkkvainRWnkbblAp69yHHrqJk5hQgkRgd3zaWoNfUbWy2Lk0cZaWGdEZCKLRV1XHC3o85gPQZqbMbHxtDjGNiaJC2lq2HoPeYGA1zYx2oKO+GoqIiFHcrQ01pC3q3/wzte42Boqo27J1dYairBeXdSuwcJWUVKG5aii8aN0I/2XlQ09KHd1g8+RulMCOGJh3o1b4R+sxVEpMOvP8MXGqf0PVr8SGXoaq4F44+MaSfIsZjOnFSSN2Ki4sj55C6Q3W4SihZzY4d6fuJjlkrL0CnnhPgk5iDDKLHdP1eaogDBndqi0X7bJBbxbCjM3bJwQ749nMZDF6kXubYsWPk95nuEMnJz4f7qQPQMLBk4d2l5WlpGciRhmPRwPboMGmTODtBnCzyPBbKi1C/cQ9YB5TutUdnPUg7QdoKaUJUNbqwmelCh95EF1Q04XglgtgiKdg6rieGLlBBBvldqke5pI/1OLEHbT//BgbOEWKyF8GxO6mxDJL6X0DHMbisbeJSy4U6KGmRWDqkE9rJrkc8i+CgdSgHlqpLUa/Rt7D0i2f1nO2lSNtT6qRlJUBhYk981lcOwcmC80Vtt6wEH4zp2QZD5xMnkVyj1HlKJXU91vM0Jo2biwthKcgkfc5790KEztjlJIdgBqnTrQfNI/2IcG3hWLlO0Gi0CLeTUN53mGVHzkgXyqXUds6VQnPBMNTvNh5eNJST9m/EYfWx3IemklZQsynP+szW3FbR8z917Og7I3aopb429hvYIp30zzTfRQbpf5LiYhBPzqHnU8fO+8wB1JfIYOVhu0qDkv8F+WQcOzo756a/q8yxW63pgIIi2ljTRrV0wSVtBDNwbM8SFiLZoPm30HEIxo0b11GQlQpvLy+ExqSgKCsGK8YLyVIGTdtJHJibSPa1Rn/RsVuu74gbt4px5ZQmWtenZTJYoGyBwus3iZOYjWBfb4TGpiDG8xS+a0FDHutjhsJRZBReQ3FRPiKD/eDlH06MsSxEX7HF5L6d0bxTD2hZeiGTVHo6KlOYEYlFP/Zg90D3sbMLpGvp0ojBRAyl9CwUk4af7ie1XdcB1/ITsV6Mw2/XTw5uMZm4cb0YGUlR8AmMgK+dnpigpR0MXVNwNcEJQ9oLoZiT15kip5gYr4ni+yHO8CkVOkovQfMeM3ElLoM0BILy0Yx1548oCDN6Mh2wx8IDxdevoyg3Hf5+/gi+4oIDR00QlXUNN/NTYaC0EA3IucOXa0JKlJsbX1z+TUlOSkQMcSyS07Nx9epVFF0tRJyvA1bMXwsrr6jK6zyTpcTpkkJ1ak80GzwXIWmlaZ1px5qOg4tHoPMPCxCdVUg6DtKpZeUhK9IJYwYOwxHHUDYwQzP9JcTFkvYpkbUvNKQyLT4AausVoGfhisTkeERGRCI2IhDGR3Rg7RZIrp2PEKej6NKmKw7aBaOQGIKFV/NguGUG2vWZDT+6R16V2UC2xi7MGYNaNUC/ZXuFQRLqKEaFwcvDAx5EvLx94XrmKJavWIVzbn6kLfNk5R5ePoiOI/dH2kF6LZoaPsbFGJ2JY7fc2LXK3pjUqCYdZz555ugr+Lnf1+jc/ye4R6SwQSXaWdAtJbJSo3B4+w7s0z+HhORE8owRiI0Og4WxHszOeyKNbuCeEI+YmHj2u9TRo0YxHdBiUnwdv1xNwuy+X6KvnDIKbt1FdmYGcvMKys65ev02CuMuoUfLFli47yzu3LnJMp6x0eMM0if4WqFLsyaYuflYtQkquNQyYTPZ2UiJuoI9axRgbONByuMRQfQjJtwPR3V0YOcVwozEROLgxcUllNVZQZKRezUXVnS7gzZ9cTZUilxxFo7Okp3XWo7PvxwMp6hM5JN+MpXozNXsKCwZPxwbjlx4L1Qria2xC8S0ri3RadIaNnBBB2joIEh4kJ+gO0R8AwJwbP9GrFHUgg/p40rLfQLIvdKoHJ11+KLTj7gYmY687CzSFyZi9fg+6C+3B8nEuKSzJrSdiI+JQUIC+V3ioFXWhRv4pSiR6UL/OXuILtxjGXyzs5Owe3pffDtxPVLyioiBnEqM2AKk+ltj2IBRMPeIKXNsqU2jpzAVkqYDcD4gscaQaC61T+gg3fkjG9CmwzBcCE9DPq1DeUlYN7Ef+s3cDZqZnA0cVmhP6RprzxOKaNagE3QvRJDzs4gjkwdpqD1+6NELe04Le6aW/gYN8bTW3Iwp8hpIJr9X02yZsMYuETun9EG9r0fCPUYYrKP1Nzo8uKzuexM9sDfTwLK1CnC5EgAvz9I+yJ/0vTkIuXAEndt0h65jGArJbxcSvdVbPxUd+s1lM810cI4+R1nfWUHPacKxBC8LdGvSAPN0HFCYX762miU1I7amre5+KOzQQyhpI2KiIhEdHQXXcyegbWqDxLR09nx0/Z2ziQKx89vigLU/cqoMln7q8gk4dqRSkIdIiAuH5iph/ReVYcRgCI5NYIZAxRFr6jSlxfhg0TBxNuzz7li2eScUVdRhftaNZZxKj/LA+J6t2fE2vemGxFm4cnpvWfbKiZsNkEYqTk56LPYtl0UjVv4Zpi/dCBUVFWjpmiMsniZPSMNxpSVowo7Xx48/LcMeZSVo6VuwdS80TMzrhKrgKBGZrnAc2QU57HlC3CzRv4OQ4EQi6QJtay/ExUQglG6sHOiNgwpzICNpAbWTPigqLkS4ywn0aytk8mzz/Rhs370buzUOwS0wDr7nDooOrwRDp6/FCaPDGCiGYnbsOxsX/KPLNm2nRlOCnxW6NW6KucqWbASy7N2lpiErOQwbJwshqJKmHTFv7VYo7lGFiY070mKvYNyQfvhpy2FEJklxyUwRbegidhs/lk2v9DpcuPzTQutmRrwflsgOwqCJc9h+brt3bcHcBatgaOmBzKwKhp3YkcRHeWNR78+IofgDbH1oshChraAzUjG+ZzGhX3+sVjFDaFQUIsODYKRKDLyduoiVks6JnJMc7gLZXl0wZKEGUnLzkRR6GUvFWfZGTRpDpkEDNGggA5n6EnQZJo/AZNK2EAMtJzsNporLMVFuEzzDYuDjeBw/jZ0EXVsfts9l2X2W3W8qMWLjsEG2B9qJWTEzifMU5HYG2zdtwiZRNm5Yh1WrVmHDxvKyTTs1cDkkju1pSTvQZOK8OhnuZPc4YZsRcczouxDD4IjxEBroC1sLfcweNxwTZm2Fb6yUOF1pzDCnTl9KTCC2i5vCyjRujIbsGRuQZ62Hlt2nwDUqA1dzEqG2dBQ6fDsZzsQpfC/bIflb5aUEYXyXFugybgMSSxNGVDgnJY20O/5nWAKBqdtNKyVPoZ22n+VetGrUBmo2AcRo521LbRca4hsT4Iw5/b9kdadxRf2oJ8G349cjMrMQOUkBWPhjd3Qjn8NTs5gzT7/P/vbJkVBnGVrb4OA5bzZQKNTpdEjjfSE/biimyavDNzQCUZEROGeohqUrd8EvNrVs5qFcUohDJIXmkhFo2q00KyY5T5oEOzPtcv0hsn7taqxes7ZSmZruScSmZiNPGomd86ZhwaZDpM+Pg4OROibJzoV9oBBiSgdhIz0t8H3Hjpi58xipu1VmIMi95yUHMl34WnZjmS7QcNAwN3OM7D0AWw9YIiw6GhGhftDZuQYbVU2QmE6jaMj3aduQk4Ctst+h/bDliJRWCDfnUuuFhhVmS6OgtHA6FmzURlhcHBxN9pI69DNx0uNI25tO6lEC1OVHo0P3iXAKp3uMpoFmbdZYOQN9JizFRb8wxEYEYN9qeSzbdhTJxIYrHURn108NwfLJk7CLhtP/SVtJw0DtNJehfvPyrJhpdF3o+WOV6v/G9WuxavVqbKxQtl1VBwExqSjIS4PRDnlMnqOAK+Ex8LY3w6xxU6B/3o85nDRRlzTaA9P7f4U+ckqIJTpCZypZ/0vqvtsJNWYTj1ingzjaN1EhTh3dSuuY8gq2ebmkQUM0aiiD+rTvkWkAicxX0LYNFGcD6QRFFsw2TkaTDsPJO5P+ScbdT0/qvGOXIk1DQqgXVBXWYY7cdEycNAmTiEyb+TNWr1PDJf9YYoRVHsGim6UmRvjhkMpmjB8zCqNmLMCRUxeQSKezM6VwPKaJmdMms+tMnvYT1A6ZYvf2VZg8Ubi23NwNuOgbxXa5z0iOgZWhJubIjsXwCTOhfuQkwhJShI6EKBWtjOdP6ODnKeMwYsQYbFI9gkDi1FFHilbWlNgQHNyxHDPlN8ElKJaNLHrYncCqZYswZdJE9nuTJk7BgiUrsWHDeqxfvwFrV8ljiuwYjJ+8DPY+MWwfuozMDIR4nMf21QsxZuQIzFy2BWcv+SOd3GNacjSM96wj15qKbWpH4BMcCQfzg5hMrr18pyauBNN9qYSKT0M+MkgHanD4EOx9o1lCmIrvLjUtgxh3ITDQ3AXZsaMxYpIcW38QR8M4E8Jx7sxpnDhuBtUdm4niK8DczpO87/TKnRkXLv+00JC/1HicM9DA5FHDMGToOGxSPggX/wjShlQON6QdS1zIZezZuhJyRM8nTpwB+ZVbYecZSuo7Te8shFRGB7pDW1UJq4nObdmmAjMrB8SmpDHdpo5kcowvti2di7V7zUHXxTkaamDCmNGQlZXFuLFjMbaC7DKwA03wwDJqknYhKy0JtmaHsWL1WmxW0sAFj2BkVrnPcqHrcHPgarITX3YeJm5sThw1cg+0fSwTcg7d+DmnYhn5TWGNXTJpc1LgYKGDZYvmYgJpy2b9vAi7D51AdHIa258y2tcJO9asxPqtyjA9cwHJmcSBJG1L6T2kEyPD0/oopo4jbU81z7hG4zhSs7JJJ5qI4/s34adFO+ATI7aFFZ+HtHuZyRHYvXIBVu42QCJxkt9fm0c66DB3yM+aCTVTR7bfpvBukpGbTzeBXoBv+s8lzrKQpr7id7nUMiG6mZmZijM6ypAdTfVjfKV6M3bsOKgec2L1Ny0xDBobF2GhwmFEkzrADD6iL6lxIdDduxXzSB8/acJkLFi6Eqa2HsTopGGHiWwwhg46mBzUII7YOmzYuBN6ZpYIiUmqcX03nUEMdtBF1/bfw8QtmoU2Ut2n9kFFvcrJzUNebumaVUEy6b6YdAab9Hvp8WEwOaCCVevWQWmfHnzC4pAl7pvJ9pcMdMKy2bOhZOjAdKiSjpNny0wOZ7qwStmwki7Q9iLcxxmayjuxZsMGbN2pBvNzTkighrEYFk2TaWTHe2Lcd92x6oAtcVZrakO41E4R61BCBKm7qqwOKWocgXdoLNEZWoeIPUba0xOam/HTwu3wjhbaUzpBkZkaB4ujGli6fDW2KKjg2OkLiE+lM2Ll7SFdh03bUcUdxBYOS/rTtpLOdKeEOWJYl65QMHRlofrUSai4xo5KTk4u6Wsq6wQdlGSzgbROk3s+Z3KI9W9bdu+Dk1cI23uR/oagz4FQWjkfy3cbI4HalKTOU5vYmfQvyxfPJ33yJMycvRC7tEwQmUjsaNL+x/g5YfnUCRg7Xhbjx42r1IZMXa6IoHihb6bROAXZcVg9dgDGLtVCGnFW/2vRYp9MKCZdq5aVnYPSvTZyaHpxtsbj/fPpAmkhSUAuO5dVUNrgUgOIvBCanZI25uxYbjZzemiq8tI9o3JIBaaNJzuXGmnkd9kxYlQxQ6rC6DN13jLp8TzhOL0vej0hmQH9firp0IiSkI6DhmAJ16S/R0OThHvIz89lI/R0DR4Vls6d3nteDrkWDU+iqY/pPlCZyBXvO5dU5gxqlNFjpGPNYs9Kfj8nm72XDNKp0Xume9ixa4j3KwjpiMl7p6P8tKMrLydCR+7Ju2a/T77P3h1VaNF4pMljaJYmep/pmZns/7yj4fL/R0j9I44F1TXm4JC6TR21ms6lawJoWBTVI3pe1cafGnhZpG7TdWpSUuep81Ou21SviO6S77OwF6JnVC9yynS2sgizXqUpyoV2IYPoR3oavS7p2ImB+iE9oesfslPDsHrqWCxTs0RuYYUQlY8QNvJJdJTqfg5pq0oHdJiQzpWu2RN0mDqEVYwA2jZVaBurCm0X6XuhbUk6cQpp21kxcUtFoW0FbZNK313V46Xvl75P6lwKbRxpe9KykBnriRkjfoTySY/3Q+y41Eqh/Qh1cnJpP1hN3WHJTdjfWOiraBY7Glpd8Rp0jZrQx5M6QfpDGo5cdlzsl7JInaY6xfofoleV6ndVofUrKwF7lkzDjDW6yCjIY/W12nM/IHQmO5PoC20nqAFaeSBZsBFoX86SKFVT1z+kC9QOoH0oa4NYW1GxDUpGDrlne52tGDxhBQKS+CBHXZWqdag0gopKTe0pbcuzsrJY+DJrt4lOVI18YEIHVmhbT45V1xZXlmRi22XgpPpqDJu8CdGZxC6t7pp/Ih/u30gdJ/dEbchcZkuX13nWPxE7lvVPpA2o3D9Ru7Tcxq8oZe+G6E96Th5CHQwweOgUnA1IqLwE4z8i9D18Ao4dFy5cuHzaIiUOV6zXGcyZvADmLqHEcf1vOTUsq2BWMkyU10NeQQ/JxIn/O4Y4Fy6lIuyxdQlLp/+MQ5ZXkFNDevXaKCwRTYAD5OUWwsyJbtRPw9CqP5cLl78qLBIkNRy7Fi/AFk0bFp5ZV9pZKdHn9AR/bF88H6omzkyfqzvvUxfu2HHhwoVLHRA62kpTOwdfOoedaxRx1tWPGKY1zUh+WsJSWSeEw1xbE+paRohKqRxyxIXL35JEMeza3wXK63bixLnLSJaK2alrrSSD7i0WeNkR6lsVceqiN5uRqSsOKZfaL3TJDQ2XPLB1F3SMbBGXmlrrwxlpNtuoEC8cUtoNPXMHpGVl/edCMEuFO3ZcuHDhUmeErnXLRGzgFVx0voy45NKMv5+20E47ItAD5xzdkSTlTh2Xf1boMobEiEBcvOCKqKSUmjMH1gpJhjQpFq4X7XHZP4olhuJOHZd/WuhypbTEKLjYX0RwTGKtn7Wj60593C/C0T2IhYH+V506Ktyx48KFC5c6JilSutb2vzFbVyps/QVdq/Ef7rC5/HtC1zlRnaoLThJdl8f2sJR+YA0hFy7/o9A2lyYoqgtOEo1oobk2WGLCKsf+a8IdOy5cuHDhwoULFy5cuHCp41LrHTua5jo6OhpxbNNSLly4cOHChQsXLly4cOFSVWJjY/Hs2TPRi/p4/nXH7vHjx/j111/x4MEDLly4cOHChQsXLly4cOFSg7x580b0oj6ef92x43A4HA6Hw+FwOBzOvwt37DgcDofD4XA4HA6njsMdOw6Hw+FwOBwOh8Op43DHjsPhcDgcDofD4XDqONyx43A4HA6Hw+FwOJw6DnfsOBwOh8PhcDgcDqeOwx07DofD4XA4HA6Hw6nj1ArH7u2TO3A5ZwWLU6dx5swZJtZWljh9+rQgpyxw/PgJnLEPwMNX4pdqMfkpoThlYQFLK2vheWxsYGkpPIv5CXN4h0rx+GWJeDaHw/k0eItb+VJEZF8XP79PcXIYawf8EvLFkvd5eb8IztaWOOcegt9raibePUWwqx1sSNtCxcrKDqlXH4kHOZxPjDePEeZ+kdR1WyQW3BML/wpvkODrXKYn1tbWiEi7JR57n5e/5OGyVxAe/iEWcDi1mKe3c+BIbEv7K5F4Lpb9FQri/Mt0wsbGCp6hmeKRcgqSQmFJ+qqzbsF4/Pe3VOP8H1A7HLuXjxAb5ocdc0dAIpEwmaVgisDAQCbe7g5QmPsD6smMRtydd+K3ai93rmbBy94I37QQnkXyxUCc8qLP4gcjjfXo+EV7fNt7PMxcE/FvPs3ToizEJuX9q7/B4XDe4k5eCowVV6PDF59h0kFnsbwif8DZUB1KmidYm2ZxRAV7DC+g6jhVUbgDNm/cDTefIHg4ncTG7fuQ+eB9KzPH06CsrRSkF3zyfhePcjifDi9uxGDBkG7ldb1FFygaXXpPd6rj1xQXtKmkJy1gEVLDwMu7Zzg4byAknSYg56lYxuHUUjJ9rbFpixo8/ALhZm+KjYraKHr65xMGJQ8yMKZ9RZ2QYPOxUPEo4e3vsDbUgOYJewSRvsrGaD+mzdmI6Fsf4zpy/i+pVaGYha6GaMkqWlPstc0QS0v5HadU9RFb9ET8XNt5BYWpfZnS1B+8CEViKeXs7p8EhWrSF24pv4il/zSvoLt8BQ5YxIqfORzOv8Nb3L91G/kRF/E10etJ2pfE8nKkl/TRp+9MJP/2Vij4PQNTBg3CoUtZwmfC619SMLM/LSsfPTXeMB1j15gQt7ACT6/jqPYhOPlHICw0GP5+foiMzyd3weF8Yrz+Dfpr5bFokzau+PjC/fxxTOjVivSf7WEeVCieVANvH8LSQBen3YMQHhaCAH8/BIWn4WUNI53pAVYY0q4pWvWZiwJuw3JqMc+uRUC292CYBRaLJW+gtUQW03fa/MlA/lv4nDOFnqUbIiPCEBjgDz+/GPz2vPxboeYqGDNHGQ/KfMQSHFo2Gr3l9vKZuzpCrXLssi7oo7Xo2ClbxoulJbhbcBUvyf/uZSQh/35dceweYcvkfoJjN3AeMiqMACa5HEA99pwSyJv4iKX/LNE2e9CUvEeDyzWHnXA4nH+QVwWY0bkxxmm5iAUiJb9h3fCv0H/5MbFA4Ni6ifi83zLcfi18DtBfCZmOEyq1FUX+ZmjWoAvsUu+LJUCE1R70GjAFzkFJeMa9Oc4nzIOccJw451PJWH2W64tuDSX4UfWcWFI9Bf7H0avXMJhfCseDP3HUbiX5wfj4BRgoLUHrb2cinzt2nFqMi9ocNO4+B8UVHK10F200btQDHgU1R248LwrGyD59oGx6CcW/UKu6Cm/uYm6fbpDb4iQWCFwPNkczSVuciuL2ZF2gVjl2mY56aCU6dnusE4XCkgdwOemOX6sZhihMDoHxkcM4YGKJnLvlLXFmyEWoqalAVVUVZy7F4td7BTh1RAN71PSRcPWheFY5d3PjYWGiB829arD1iqw8Ok54+aAIjqdNcPigNjyic8TSUl4jxNkcWmZncbvCqAfwEJsnizN2VRy7tMu6rFwiqQ8luzixtJQ3iPO7AO1DutDVO4W47NtieQXePIS3gwUO6+rC5LgD8u8+Ew+Q1/XqKdyM9+CrpsL1h8nOw9q1W+CaIlznZloojhzSgdWFK0jNyEDOjfffB4fD+Rv8nokpnRpjfBXH7mmeL9rVk2C+kZdYIhBlvBaSBp3hmktbnJdYP6ozmo5ciXIXDvijwA89SFuxQC9AKHhxG5umfF82MPRZ5x9g6sln5TmfJk/u38Ojl1V65Hc3sfDrL7DC1F8sqIa3T3F4lSwaEL2jetKgRU/stfJ+r29nPL8JM1095Nx7CieNRWjebQZ37Di1lze/YEG/Vmg3fQcqRgw/SXFCJ1LX15+qqT94B7ejG9FMpr5of7bBiv0nca9iTPPzbPz4VUtMV3AUCwTeFAejD/nOvMP/zkQE55+lljp2TbDNJAi//noHDkd3YtKSoyh3XSiv4KS3Gd8NlINPbCqcjm5Bl57jcSVTMIl+v52EiT1asMrbtutYaBkYYNmkgezzFwMXIP1+efMec/4AevYaB4fQOJxVns3OkVOwwBPRR7uZ5IxRfftD2dwHKZHOGNbjO2w28i4Le7oTaYcO7J4l2GBcIU65omM3ZDHKo/rfwGjtOFb+zaRNyP+tQkz0u8fQXzcVXfrOQkByDuK9LDDo6+7YbuZb9ntvHuVjlez3GCKnhJScHHiYKOGbrwbDIlBIxvD8Tjb2rpoJmfr0nhpi0KhZkJdfA6eUu7gVbYfRA8fBJbEQOfEBmDd+CNRck9n3OBzO/0gNjl32FX2m72r2CWKJQIq9KuqTtu64/12i2AUY9WUD9JyrWWntUMmdaAxvVg9jV54SZi1KXuEXYuwWZifB1mg/BnRpTq7dGloXxYEwDucT53mBNwb3HAvv7A9E77x7gwcP7uNaQQZcLY0xrl8npoNrjDyrhCy/hIe5GRxDCtinM7vncseOU6spuRuDfq0l+GGNUaWZ7JeFfvi+EbFfd14QS97n8cMHuHW9AAHOZ7FEdgDTiR83GJQn6Sp5gOVD2qPT2B0sSq6Mm2HoRc6durWyw8epndRSx04Go2ZvxP79u/BN63r4Zvoh4g6Vk+9/Ek3JeRPUxeniR0n4lnz+bo4WnrKa/hoqc4exSvvlMHlcozW00Bu9ZOi1G+GgtzDr9nteIHo0l6C9nDr7/LzAF91bNkCbQWtwl/zguydFmNebGE5fTUPpvJn21F6QNOiFwCJhrORRbhgmdG0JSbMOMHAvXy9T0bGr99VQHLKwwVnbs9i7ZR7ad+sPNf2zuPascsByhJUqO3+qsqtY8hQrRnYkZV/BNYPOrL2BxdYp7BxN51zhlIep6N1UgsZdZiLzkXi9O1H4+nP6rK1w3OuOUEYw3TSBlLXFAYcY9vm61Bfngt7PhsThcP4GNTh2SY7qRO+awsSrcibMXO+jkJE0gJ5HEWl8pBjSUoKxa0+IR0UeZ0C2cwMMWaiH6pbFP7uZghWD20Hmy6nIfPznC+c5nLqOi85OrNS+8FFrSkt+L4b67P6QNOwNP7HvpuRGO+GAmRNeiJ9tuGPHqeW8KPJHD2LLyimdF0sESu7GYkgrCWQ3WIglf8Lbp7BSmc/6JoMAYWCDkuJ0GJ81ag3Fk0F4/sdrvHn+AL5mKszmXmUcJJ7Fqc3U2lBMtXNSVpbmZ42Vm46jPGr4LQw2TSTn0Jm1w7js7g6304fxJf1e68GIYZGFL6H402B2zthlRuxbJTdCMbwdvXZ9bHMQRrfdjq5l5wzZZlg28nE9Lx25N35l/y8KOon65HjbATNh73EZ7u6XsLSvMPK31b58hPy3W7lIyLpaafSkomMn02MCLM6dwvDOMuxz4y4jEXJNXFhTytvfsGZcV3Z8uUWwWPgG+vNGsrIlOsF4+yoPQ9vSZ2gD08ibwikvr0H+O7qYvDH0LguG45NcX3RpTc/7DHqO5c7mhcOr2bUkkuaYtFoFGfdI7/Wu8l1zOJy/SQ2OndRVi+hcExh55IklAolnlFCPOHbGPjeAV1kY9oUEo1Ydq9SOvLkZjqF0PZH8sRoN2cfJjmj7WScYBZHrcDifMA+y/aCwXQv5f2dnj7sx+L5jG2yyFJY/vLyTjdOm9pVCny/sXYQW387Gx2yowOH8/+QPYsv2bibBjJ22YonA89wr6NmAzqp9eO1pZe5j0Q9fYfgWG/GzQGqAPdbLL4PqviMIk2bBeJ0ssxv5Gru6Qa117MqTp7xCtGsQfi2zal5AfangtA1evA2O9vawd7iAS8TBc/cLh7Ae9HmZYzdq8RFmEJXcDMOwDvTaMth1MZWeBMMNY9k53y/TrhT+VEqCMzXIiGPW/QcYn3OEPfktJ9dLxMG7jORrD8SzaqLcsWswZAnrKG5FWaMzUTxa1lV2E65VHBV8WYSff2jDju1yLI2Rfo2j80axsp+2OOPFL1Ho1Yp8v+GXsEsVnE/q2C3rSb9XD6rHhQ7rSa5ftY7d699ysGGKcE9U2vWcBu/EatbwcTicj6cGx+5O3Dk0IfqmbFd57UO4wRqihx3glE4brfuY1fszdP9JvVJb9CLHG9+R787TvCKWVMO7G1gwdDSOVJkR5HA+Jd48zMdh7cMIzvtNLPlYXkBxmiw2mYWxT7aaS9CuS09MGD8OY8aMYdLjyy/QoMnnGDpyDPZZBbLzOJxaxdNcjOnSGINW6FUaBHyUeAEdSV+x1jhCLPlr2CrJY8Jqc/FTZUpKyC+8uo35A1uh5aDVuFVNvhVO7aMOOHZv8fj+fbwqq8GvobnyR+aYDK8atlTGs/cduxuhGMb27iCO3YUUdpaVirCmruU3c5FTTeiF9PIRdrxe+9GQfiCc/+0fT/Drk9JgjlKqJE9h138La6WfWRmVeaoO5aPwJb9AflQXVr7LqfTZn2LXTGFt4Fw1L5Q8y0B/6rA16ozz6aJj+TALE7o2Jec0gNb5NFZEZ+y+KnPsslkZsf6Ef17chpHycnzB1uBJ0HuORtl6Qg6H8z9Qg2P37mk+JnZpjvH7LoolApYKM9D0m1koFpf8nl4/DjL95+NmhYjKW+FWaC5pA/MPjZT+UQSF+WsRXCHEjMP5pHh+B2ePn0SQtPJcWsnrKpEvH+QJ9i1bBdsoIdolLdobRoZHoaOjUybzxvRBo897QlFLB5fC+TIFTm3kDfQXDkbzUetQcYgjz9MQjSQdYZ/2cQMfturbsc+6Zmfwss5SYiu2hWVYDfs/cmodtcqxy3cxKnPsVG0E56s6vM22MqekYeuBcGFrzwRu37yB319QL+UV9vw8lJ0zRv6oeDASI8QZOyVXIczzapAVvmBZsxpjx8nyiv3o7m389qwEvxcEo0/LeuR4Q6zS8xCPEt/o0T3cFLddeHIjGcvG9kLbnsNgH1UxFOoZtk3rz+6h/tBFyCvN1/LsBtaMFTdbbfINTpUpyzs4ay5h5QuMSkcKn2DVOOrstYR5OO2MXkBjVk92P4YhYijmQylbSCtp+QPCbwjO5etr4fj+M/pcLWHqQe6p5AkeP7oPT49LyBdHXBLcjdCpkQTtZLfgN+7YcTj/Oy/yMP3LJphw6LJYUMo72O9fjG+Gb6wQUn4fi4b1xEKt8nblbuJ5fNW+P1wzyx00Z63F6PzDOtwT9fbduxK8qaKvIVZGUDG8XH3GPw6nrvPmIc4fMYC9dzrelJTg5cuXePniIQI9LyEsqzzi5O2bCmvW373F6yqxy5leZ7FNwwYPKy9tr4TzvsVo8d0ciPEwHE6tpCjUHJ06/IDA6+WV2WrXLHSTVcKjikutib6Ur7Z5h9cllZXiXlogtm/TRXYNSpHlbor2jT7HjmMfyEDLqXXUDsfubQmePX0IO41lgsNDZOq6k3jw5BnevK3G6/i9GBuIM8XO7TwY6nomMLOwhF90Dv4g9fP1s+uYP7QDO95x2FrcefGS+HXWaC9ee6GuJ+kg6HWfwHzbLDRk5e2xTkUXJywscNbRH/fFXUyv6G9GY3a8EeZsVsexE8dx1iUItx8JAVPFvifE4xIsPeTLyl7/8RK/XovBmK5NWLmkxQBcSr6J56+E0cV7Sc7o3lz4jqTtMDiH55L7foeSB9mQH9YNXUavQwFxHG/EOqJ7syaQ22WJ0gnF+xleGPr1Zxi3yZS8nyeIslFHkwbtoGITKZ5BeFqMpYNp0hUJhs5aCwe3SDx7+Qz718lh/KrDKH7wHC+uhWJw2/bYeixc/BKHw/m7lLx+hV+zfVnmsJ4rDPHw2QtUaroe5WPbz3I4bBeO3588Qoj1QcxbugdXK0UKvIWTtgIWbtRH8W9PUJzqhxWz5uFCfPlIaaanGQYMGw+VQwYwMjGF1l5VKO63we2nVaxYDucT4I+H13Bw0WjWl7Vo3RrNmzVDMyaN0eXH9bgmbjH0W6YHBnbrAcWzQmKwXxJdMGLoCGzZqwNDIxPoH1DHFiUTZN+uGllTmZMKUyBpMxa5ldNwczi1jFewUVmD5btO4ObjJyiIdceSmYvgmV4+o/3mURbmDu2NabttWWTYu/upmDduOBZsUYeBoTGO6Wtho4ImQlLKE+xR/njxHLcKM2Fvqo4xQybCxFHQKU7doVY4diUPi3HssAZWL1uIWXJykCMyf8kqqGqcQO7d6la/AS8fXccZw32YNnkCJi1ch/P+SWVrU6S+1lg8fw67zpz5y3DC3hMmursxe5ZwbfnVGki/KbbcJc8RdNECy6dPxphZi2B23hf3X1Q0kl4hxvMsVsyeinHjJkPD1B43RaeOUvLiV1hpb8VChb1Ivyd0GqmhrlDZtQU/z57Ffk9uxmys26IIK//yWcgQuyPs2LQpU7BklSpi8oSZx5KnN2F3XAeKKhrYvVMVZ1zf31fv8Y1UmBzeS96PBpR3a8ErUsyQWYF7ORHYvuAnzN+siqRiutK8BOlJYfD09oHtSSOoKqrC1j0aov/K4XD+B66lBkBlJ9H5mXKYt3g1tExsITYHZVAj1cZEF3s19sLc1hMPnleXxfIVIlzPYreaBrSNTkFaWHnu4MntTGhvlceokSMxd8Uu2PvGlg36cDifGlm+5zB7yiRMmz4dUyZPxqRJkwQh/99/rnx7oafXYrBusTzM/YQ15a8e3cAJ9U0YPWokps1dB0vnQDz4C1PaATY6WLBOC7erNzs4nNrD22cIvHAaSuoa0DG1Rtb1yhmFSp5dx/6NK7DnpD9biPPu1e9wM9uPCaNHYfSk+Th62gnFD6sumnuHGHrN7SowsXZAxp2aNzvn1F5qVSgmh8PhcDgcDofD4XA+Hu7YcTgcDofD4XA4HE4dhzt2HA6Hw+FwOBwOh1PH4Y4dh8PhcDgcDofD4dRxuGPH4XA4HA6Hw+FwOHUc7thxOBwOh8PhcDgcTh2HO3YcTi3l4cPyzfc5HE7dhm6s/fq1sJcph/Mp8ehR5VT7HA7n/45/zbF78+YNjI2NoaWlxYULl48UTU1NDBw4EHv37q32OBcuXOqWzJgxA3Pnzq32GBcudVW2b9+OoUOHVnuMCxcuf0/u3r0relMfz7/m2L179w63bt3CtWvXuHDh8pFSXFwMFxcXFBUVVXucCxcudUuCgoIQHh5e7TEuXOqqZGZmws3NrdpjXLhw+Xvyxx9/iN7Ux8NDMTkcDofD4XA4HA6njsMdOw6Hw+FwOBwOh8Op43DHjsPhcDgcDofD4XDqONyx43A4HA6Hw+FwOJw6DnfsOBwOh8PhcDgcDqdOA/w/seVwVkoq4qgAAAAASUVORK5CYII=\"\u003e\u003cbr\u003e\u003c/p\u003e\n \u003cp\u003ePrincipal Coordinates Analysis (PCoA) based on Bray-Curtis distances was used to investigate the similarity of microbial compositions between epiphytic plant samples grown on trees and fences (Fig. \u003cspan\u003e5\u003c/span\u003e). The PCoA results showed significant separation of samples according to growth support, explaining 26.69%, 20.21%, and 12.66% of the total variability observed in the first three principal axes, respectively, totaling 59.56% of the explained variability. PERMANOVA analysis confirmed the statistical difference between the microbial compositions of epiphytic plants from trees and fences, with a p-value of 0.006, indicating that growth support significantly influenced the structure of microbial communities. Although there was some overlap between the groups, the separation trend observed in the PCoA plots suggests distinct patterns in microbial composition associated with each type of support.\u003c/p\u003e\n \u003cp\u003eDifferential abundance analysis revealed 180 differentially abundant (DA) taxa between epiphytic plants grown on trees and fences, comprising 65 bacteria and 115 fungi. These taxa were categorized into one phylum, seven classes, nine orders, 28 families, 76 genera, and 59 species. Among the identified genera, 67 (42 bacterial and 25 fungal) were more abundant in the tree epiphytic plant samples, while nine fungal genera were more abundant in the fence samples (Fig.\u0026nbsp;\u003cspan\u003e6\u003c/span\u003e). Most DA taxa from tree epiphytes were exclusive to this condition and were not detected in fence samples.\u003c/p\u003e\n \u003cp\u003eAmong the genera of agronomic interest, \u003cem\u003eBradyrhizobium\u003c/em\u003e (Log2FC: 24.45; p\u0026thinsp;\u0026lt;\u0026thinsp;0.001), \u003cem\u003eAzospirillum\u003c/em\u003e (Log2FC: 9.29; p\u0026thinsp;=\u0026thinsp;0.011), and \u003cem\u003ePseudomonas\u003c/em\u003e (Log2FC: 4.82; p\u0026thinsp;=\u0026thinsp;0.029) were significantly more abundant in tree plants. These results suggest that the growth conditions on trees favor a greater diversity of microbial genera, including taxa with potential agronomic benefits, reflecting the influence of the support environment on the microbial profile of epiphytic plants.\u003c/p\u003e\n \u003cp\u003eCo-occurrence network analysis, based on Pearson correlation coefficients (r\u0026thinsp;=\u0026thinsp;\u0026plusmn;\u0026thinsp;0.75) and a 95% confidence level (p-value\u0026thinsp;\u0026lt;\u0026thinsp;0.05), revealed considerable differences in the structures of microbial networks associated with epiphytic plants grown on trees and fences (Fig.\u0026nbsp;\u003cspan\u003e7\u003c/span\u003e) at the genus level. The network associated with trees presented a higher number of nodes (548) and twice the number of edges (22,986) than the fence network, which had 396 nodes and 11,369 edges. Both networks had a low number of negative edges, although the ratio of positive to negative edges was higher in the tree-plant sample network. Additionally, the tree network showed higher values in terms of average and maximum degrees, with an average degree of 83.89 and a maximum degree of 157, compared to an average degree of 57.42 and a maximum degree of 96 in the fence network. The betweenness centrality measures were also higher in the tree network, with an average betweenness of 800.5, and a maximum betweenness of 21,858.51, while the fence network had values of 572.32 and 8,794.68, respectively.\u003c/p\u003e\n \u003cp\u003eThe main hubs differed between the networks, with the genus \u003cem\u003eMarmoricola\u003c/em\u003e being the main hub in the tree network, and \u003cem\u003eMucilaginibacter\u003c/em\u003e in the fence network. Taken together, these differences reflect the influence of growth support on the structure and interactions of the microbial communities associated with epiphytic plants. Thus, the analysis suggests a more complex and interconnected network in trees.\u003c/p\u003e\n \u003cp\u003eFunctional prediction analysis of the microbial communities was performed using the PICRUSt2 program, which predicts functions from 16S rRNA sequences. Principal Component Analysis (PCA) of the annotated functions (KOs) showed considerable overlap in functional composition between different conditions (Fig.\u0026nbsp;\u003cspan\u003e8\u003c/span\u003eA). The first three principal components explained 24.07%, 16.71%, and 14.05% of the total variance, respectively, accounting for 54.83% of the explained variance.\u003c/p\u003e\n \u003cp\u003eThe functional profile of the KOs classified in the metabolism class (Fig.\u0026nbsp;\u003cspan\u003e8\u003c/span\u003eB) indicated similar profiles between the leaf and root samples, as well as between plants grown on trees and fences. The most abundant classes were \u0026quot;Carbohydrate Metabolism\u0026quot; (23.45%), \u0026quot;Amino Acid Metabolism\u0026quot; (19.49%), \u0026quot;Cofactor and Vitamin Metabolism\u0026quot; (11.88%), and \u0026quot;Energy Metabolism\u0026quot; (11.32%). Regarding the microbial traits annotated with the PLaBAse database (Fig.\u0026nbsp;\u003cspan\u003e8\u003c/span\u003eC), the functional profile was also similar and conserved among the evaluated conditions. The main functional categories were \u0026quot;Plant System Colonization\u0026quot; (27.4%), \u0026quot;Stress Control | Biocontrol\u0026quot; (19.12%), \u0026quot;Competitive Exclusion | CE\u0026quot; (17.98%), and \u0026quot;Bio-fertilization\u0026quot; (13.9%).\u003c/p\u003e\n \u003cp\u003eThe volcano plot (Fig.\u0026nbsp;\u003cspan\u003e8\u003c/span\u003eD) highlights the differentially abundant functions between the leaf samples of plants grown on trees and fences. Although the overall profile is conserved, tree-grown plants exhibited 546 differentially expressed functions (representing 7.74% of the 7050 detected KOs), in contrast to only 170 functions (2.41% of the 7050 detected KOs) that were more expressed in fence plants, indicating a greater functional diversity in tree epiphytic plants.\u003c/p\u003e\n\u003c/div\u003e"},{"header":"Discussion","content":"\u003cp\u003eTaxonomic classification determines the degree of relatedness among organisms. At the phylum level, 33 major taxonomic groups were identified. In all conditions, 17 phyla (51.52%) were shared. Of these, 10 phyla (30.30%) were exclusive to trees and one phylum (3.03%) was exclusive to fences. At the genus level, 681 specific phyla were identified. Under all conditions, 182 genera (26.73%) were shared. A total of 485 genera (71.22%) were exclusive to trees and 144 genera (21.14%) were exclusive to fences. These findings indicate that fences provide less microbial diversity and sharing than do trees. Consequently, it has been suggested that colonizing trees is more advantageous than fencing for epiphytic plants. Many studies have evaluated the distribution of colonization by \u003cem\u003eTillandsia\u003c/em\u003e sp. The study examined the intricate dynamics governing the habitat occupancy of epiphytes, such as \u003cem\u003eT. recurvata\u003c/em\u003e, highlighting the significance of host traits, tree size, and spatial configuration in shaping the distribution and abundance of these species. Specifically, this study investigated how factors such as tree size, bark texture, and branch properties influence colonization, providing practical implications for managing and conserving epiphytic plant communities across diverse ecosystems [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e]. Another study showed that \u003cem\u003eT. flexuosa\u003c/em\u003e growing on electrical cables in Panama showed slow growth and less successful colonization of plants on cables compared to trees, indicating suboptimal conditions for cable-inhabiting populations [\u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e36\u003c/span\u003e]. The present study reinforces that beyond the suboptimal conditions of cable-inhabiting, the microbial diversity was lower than that of the tree. It is fascinating to consider that understanding the complex relationships among various bromeliads can yield valuable insights into the patterns and dynamics of natural communities, particularly in environments with high and low tree densities. The results of this study indicate that positive interactions and high levels of dispersal may have a more significant impact on the assembly of atmospheric bromeliads than local competitive interactions [\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eAlthough there was a statistically significant difference in the prevalence of bacterial groups between different locations (trees and fences) and plant tissues (leaves and roots), the bacterial groups were practically the same. The most prevalent phylum is \u003cem\u003eProteobacteria\u003c/em\u003e, which is important in soil ecosystems [\u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e]. \u003cem\u003eActinobacteria\u003c/em\u003e contribute to the ecosystem and may be involved in atmospheric nitrogen fixation and plant growth [\u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e38\u003c/span\u003e]. \u003cem\u003eSphingomonas\u003c/em\u003e is also present, and some members of this genus have the ability to fix atmospheric nitrogen and promote plant growth. \u003cem\u003eLichenibacterium\u003c/em\u003e is another genus that might play a role in plant growth. It is worth noting that the phylum \u003cem\u003eGranulicella\u003c/em\u003e has a lower prevalence in tree leaves (4.09%) and a higher prevalence in fence leaves (10.37%) and plays an important role in the health and ecology of lichens [\u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e39\u003c/span\u003e]. Likewise, this phylum is the most important when plants live in fences.\u003c/p\u003e \u003cp\u003eRegarding the prevalence of fungi, it was observed that the similarity between the locations and plant tissues was higher for fungi than for bacteria. At the phylum level, no significant differences were observed in the prevalence of \u003cem\u003eAscomycota\u003c/em\u003e and \u003cem\u003eBasidiomycota\u003c/em\u003e. \u003cem\u003eAscomycota\u003c/em\u003e include species that are either plant pathogens or edible mushrooms [\u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e40\u003c/span\u003e], whereas \u003cem\u003eBasidiomycota\u003c/em\u003e comprises fungi that play important ecosystem functions and can be both plant pathogens and beneficial fungi [\u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e41\u003c/span\u003e]. However, there was a statistically significant difference in the phylum \u003cem\u003eParaconiothyrium\u003c/em\u003e, with a 31.01% prevalence in tree leaves and 59.46% in fence leaves. This genus may play a role in biological control, bioremediation, and antibiotic production [\u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e42\u003c/span\u003e]. Additionally, \u003cem\u003eNigrospora\u003c/em\u003e was present in tree leaves at 15.45%, and in fence leaves at 9.93%. This genus may also have biocontrol potential or produce secondary metabolites [\u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e]. The genus \u003cem\u003eDiaporthe\u003c/em\u003e was notably present in the roots, with 19.42% prevalence in tree roots and 3.62% in fence roots. This genus includes endophytic, saprobic, and plant pathogenic fungi, with some species transforming infection-inhibiting factors into their derivatives. This genus includes temperate and tropical species [\u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e44\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eIt is noteworthy that the plants situated in the tree exhibited a greater significance in terms of microbial diversity than those placed in the fences, as evidenced by the higher values observed in all the indices assessed, namely Richness, Shannon, and Gini-Simpson. These findings raise the question of why plants choose to grow in trees rather than in fences? This outcome suggests that several factors are involved in this process, and it underscores the importance of trees in maintaining ecological balance, as has been discussed in some studies [\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e, \u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e36\u003c/span\u003e]. Including genera of agronomic interest, \u003cem\u003eBradyrhizobium\u003c/em\u003e, \u003cem\u003eAzospirillum\u003c/em\u003e, and \u003cem\u003ePseudomonas\u003c/em\u003e, the results indicated that these taxa were significantly more abundant in the plant from the trees. These findings suggest that the growth conditions of trees promote a greater diversity of microbial genera, including taxa with potential agronomic benefits. This observation highlights the influence of the support environment on the microbial ecology profiles of epiphytic plants.\u003c/p\u003e \u003cp\u003eCo-occurrence analysis revealed that trees displayed a more intricate microbial network with greater connectivity than fences. This suggests that the manner in which plants develop, whether on trees or fences, influences the structure and interactions of associated microorganisms. The microbial communities associated with trees form a more complex network. Gao et al., [\u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e45\u003c/span\u003e] found that mixed-species plantations exhibit more robust co-occurrence networks than monocultures, indicating stronger microbial interactions. Furthermore, the study revealed that afforestation with functional traits of different tree species significantly enhanced the microbial structures associated with soil carbon and nitrogen cycling. The results of the present study suggest that the microbial community on plants located on the tree trunk may play an important role in tree health, whereas the microbial community on plants located on the fence is only necessary to support plant growth. On the other hand, the analysis of metabolism class (KOs) results revealed that there were similar profiles between leaf and root samples, as well as between plants on trees and fences. The conservation of these skills is more prevalent in microorganisms, resulting in no discernible variation between the locations where the plants were collected.\u003c/p\u003e"},{"header":"Conclusion","content":"\u003cp\u003eThis study found that plants growing on trees displayed a higher microbial diversity and sharing than those growing on fences. Plants on trees are carriers of bacteria, such as \u003cem\u003eBradyrhizobium\u003c/em\u003e, \u003cem\u003eAzospirillum\u003c/em\u003e, and \u003cem\u003ePseudomonas\u003c/em\u003e, all of which are of agricultural interest. In addition, the growth conditions of trees appeared to foster a greater variety, and co-occurrence analysis revealed that trees formed a more complex microbial network with greater connectivity than that of fences. This suggests that the place of plant growth, whether on trees or fences, affects the structure and interactions of associated microorganisms and that the plants on trees can be a reservoir for microbes of agricultural interest.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e \u003cstrong\u003eEthical Approval\u003c/strong\u003e \u003cp\u003eThis article does not contain any studies with human participants or animals performed by any of the authors.\u003c/p\u003e \u003c/p\u003e \u003cp\u003e \u003cstrong\u003eCompeting Interests\u003c/strong\u003e \u003cp\u003eThe authors declare no competing interests.\u003c/p\u003e \u003c/p\u003e\u003ch2\u003eAuthor Contribution\u003c/h2\u003e\u003cp\u003eAll the authors contributed in the same way .\u003c/p\u003e\u003ch2\u003eAcknowledgements\u003c/h2\u003e \u003cp\u003eWe thank CAPES for the scholarship Process Number 001.\u003c/p\u003e\u003ch2\u003eData Availability\u003c/h2\u003e\u003cp\u003eThe raw data and analyzed data used during the current study are available from the corresponding author on reasonable request. All the isolated microorganisms were identified using 16 s rRNA gene analysis and deposited in the GenBank as follows: NCBI Sequence Read Archive (SRA) database under BioProject PRJNA1086858 PRJNA1134710 (https://www.ncbi.nlm.nih.gov/sra/?term=PRJNA1134710).\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eBernal R, Valverde T, Hern\u0026aacute;ndez-Rosas L (2005) Habitat preference of the epiphyte Tillandsia recurvata (Bromeliaceae) in a semi-desert environment in Central Mexico. 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J Environ Manage 301. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.jenvman.2021.113837\u003c/span\u003e\u003cspan address=\"10.1016/j.jenvman.2021.113837\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"microbial-ecology","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"meco","sideBox":"Learn more about [Microbial Ecology](https://www.springer.com/journal/248)","snPcode":"248","submissionUrl":"https://submission.nature.com/new-submission/248/3","title":"Microbial Ecology","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"Microbial Ecology, epiphytic, plant growth-promoting, trees, fence","lastPublishedDoi":"10.21203/rs.3.rs-4745134/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4745134/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e \u003cem\u003eTillandsia recurvata\u003c/em\u003e is an epiphytic plant commonly found in tropical regions and colonizes tree trunks, fences, and power wires. This plant plays an important role in interacting with trees, sharing microorganisms, and performing specific functions in the process of tree colonization. The objective of this study was to evaluate and compare the microbiomes of \u003cem\u003eT. recurvata\u003c/em\u003e collected from two different locations (trees and fences) and two plant tissues (leaves and roots). The hypothesis of this study was that the microbiome of plants on the fence is composed of microorganisms that would provide nutritional support to compensate for the lack of nutrients in a particular area. The results showed significant differences in microbial diversity between trees and fences, with trees exhibiting higher richness and more complex microbial networks. \u003cem\u003eProteobacteria\u003c/em\u003e was the most prevalent bacterial phylum, with \u003cem\u003eActinobacteria\u003c/em\u003e and \u003cem\u003eSphingomonas\u003c/em\u003e also playing key roles in nitrogen fixation and plant growth. Fungal communities were similar across locations, with \u003cem\u003eAscomycota\u003c/em\u003e and \u003cem\u003eBasidiomycota\u003c/em\u003e being predominant, but \u003cem\u003eParaconiothyrium\u003c/em\u003e and \u003cem\u003eNigrospora\u003c/em\u003e showed significant differences in abundance between trees and fences. Functional analysis indicated similar metabolic profiles across leaf and root samples, with key functions including carbohydrate and amino acid metabolism, stress control, and biofertilization.\u003c/p\u003e","manuscriptTitle":"Tillandsia recurvata microbiome from trees and fences","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-08-13 17:44:09","doi":"10.21203/rs.3.rs-4745134/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2024-08-24T16:13:46+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2024-08-24T04:28:50+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2024-08-19T17:01:31+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"146054871652703439608507535057827715803","date":"2024-07-22T15:45:32+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"63816928380884230659830821514895611037","date":"2024-07-22T11:34:34+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2024-07-18T23:09:12+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2024-07-17T18:02:01+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2024-07-17T18:01:30+00:00","index":"","fulltext":""},{"type":"submitted","content":"Microbial Ecology","date":"2024-07-15T19:41:05+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"microbial-ecology","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"meco","sideBox":"Learn more about [Microbial Ecology](https://www.springer.com/journal/248)","snPcode":"248","submissionUrl":"https://submission.nature.com/new-submission/248/3","title":"Microbial Ecology","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false}}],"origin":"","ownerIdentity":"cc564d42-b412-4820-9b33-76741bb6d528","owner":[],"postedDate":"August 13th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[],"tags":[],"updatedAt":"2024-10-21T16:03:04+00:00","versionOfRecord":{"articleIdentity":"rs-4745134","link":"https://doi.org/10.1007/s00248-024-02448-2","journal":{"identity":"microbial-ecology","isVorOnly":false,"title":"Microbial Ecology"},"publishedOn":"2024-10-16 15:57:45","publishedOnDateReadable":"October 16th, 2024"},"versionCreatedAt":"2024-08-13 17:44:09","video":"","vorDoi":"10.1007/s00248-024-02448-2","vorDoiUrl":"https://doi.org/10.1007/s00248-024-02448-2","workflowStages":[]},"version":"v1","identity":"rs-4745134","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-4745134","identity":"rs-4745134","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}