De novo Genome Sequence of Roseibium alexandrii MAR44 Strain, a Marine Bacterium with Capacity to Synthesize PHA Bioplastics and a Photosynthesis Gene Cluster

De novo Genome Sequence of Roseibium alexandrii MAR44 Strain, a Marine Bacterium with Capacity to Synthesize PHA Bioplastics and a Photosynthesis Gene Cluster | 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 Short Report De novo Genome Sequence of Roseibium alexandrii MAR44 Strain, a Marine Bacterium with Capacity to Synthesize PHA Bioplastics and a Photosynthesis Gene Cluster Susana García-Sánchez, Diego Saliente Soler, Anna Marín, Luis Cabedo This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5965645/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract We report here the genome sequence of Roseibium alexandrii strain MAR44, an alpha-proteobacterium isolated from an experimental device to monitor bioplastics colonization in the Mediterranean Sea. The genome assembly comprises a total of 5.25 Mb with a GC content of 56.33% and 5,019 predicted genes. Genome annotation reveals that MAR44 strain contains several pha genes involved in the polymerisation and depolymerisation of polyhydroxyalkanoates; phaA , phaB and phaC encode for the enzymes responsible of the last steps of the biosynthetic pathway, whereas phaZ encodes for a PHA-depolymerase. We also identified the phaR regulator and four phaP genes encoding for phasin proteins with a role in folding and accumulation of PHA in subcellular granules. In addition, we identified a photosynthesis gene cluster including the bch genes for the bacteriochlorophyll a synthesis and the puf operon encoding photosynthetic reaction centre and light-harvesting genes. In another manuscript we describe the efficient production of PHA by this strain under different conditions of carbon source supplementation and photosynthetic light. WGS De novo genome assembly Roseibium alexandrii polyhydroxyalkanoates Photosynthesis Gene Cluster Mediterranean Sea Figures Figure 1 Introduction Polyhydroxyalkanoates (PHAs) are naturally occurring biopolymers which represent a sustainable alternative to synthetic plastics, but marine microorganisms have not been exploited so far for their industrial production. The b-proteobacterium Cupriavidus necator H16 is currently the main producer of PHA for the bioplastic industry (Pohlmann et al. 2006 ). This soil-borne bacterium synthetises PHAs as large polymeric compounds from monomeric hydroxybutyryl-CoA precursors. However, the thermoplastic properties of these materials are largely affected by their monomeric composition, and so is their biodegradability. Since natural strains of C. necator preferably accumulate one type of PHA, current research on bioplastics explores the use of other microorganisms able to produce these compounds under a variety of environmental conditions. During the course of a two-years experiment to monitor the degradation and synthesis of these materials in marine environments, we isolated a bacterial strain positive for PHA biosynthetic capacity both in a phenotypic and genotypic screening (García-Sánchez et al, submitted to this journal). The strain was sampled in March 2021 from the 6-months-old biofilm formed on PHA surfaces of a submarine device, at the experimental station of Calpe (38º 37’ 54’’ N, 0º 04’ 24’’ E, Spain). The 16S rRNA metagenomics analysis of the biofilm sampled from PHA bioplastics indicated an enrichment in bacterial taxa with potential PHA-biosynthetic pathways (Marín et al. 2023 ). From this biofilm, MAR44 strain was isolated in marine agar medium, producing smooth, slightly pink colonies after 3 days of incubation at 26 ºC. Under microscope the cells appeared like motile, gram-negative rods of 1–4 µM length. The sequence of the PCR fragment amplified from this strain in the genotypic screening was compared against the NCBI nr protein database (blast.ncbi.nlm.nih.gov). The top blast hit corresponded to the protein encoded by the phaC gene (WP_008189946.1) of Roseibium alexandrii (Hördt et al. 2020 ) ( Labrenzia alexandrii gen. nov., (Biebl et al. 2007 ), since the species was reclassified in the new Labrenzia genus of aerobic anoxygenic phototrophs). The morphological characteristics of the strain were also coincident with this species description. R. alexandrii is in the α-2 subgroup of Proteobacteria family Stappiaceae , and is a strictly aerobic, non-fermentative chemoheterotroph that requires NaCl for growth. The type strain DFL-11 T was isolated from cultured cells of the toxic dinoflagellate Alexandrium lusitanicum . This species has also been associated with other marine hosts like algae, halophytes and filter-feeding invertebrates such us sponges and oysters. Materials and Methods DNA extraction, genome sequencing and assembly High-molecular-weight DNA from the MAR44 isolate was extracted with the Wizard genomic DNA purification kit (Promega, Madison, WI, USA) and submitted to Novogen Corporation Inc for de novo whole genome sequencing (WGS). The DNA was randomly sheared to construct paired-end libraries (350 bps) and sequenced on the Illumina NovaSeq X Plus platform. Sequencing reads were filtered with fastp (Chen et al. 2018) to remove low quality data. Before assembly, genome size was estimated by K-mer analysis. After obtaining clean data, different assemblies with the optimal k -mer and the least scaffolds were performed and integrated with CISA (Lin and Liao 2013). Gapclose (Version: 1.12) was used to fill the gaps and obtain the final assembly result. Fragments whose length were shorter than 500 bp were filtered and sequences decontaminated before proceeding for data evaluation and statistical analysis. Sequenced reads were mapped to the assembly results to estimate the average coverage and sequencing depth. Mapping to the reference genome : The reference genome ASM15809v2 is composed of three scaffolds of 5,300,354, 93,929 and 68,647 bp for one chromosome and two plasmids respectively. The reference sequence totalling for 5,462,930 bp was downloaded from www.ncbi.nlm.nih.gov/datasets/genome/GCF_000158095.2. The effective sequencing data of MAR44 strain was aligned with the reference through BWA (Li et al. 2008)software (parameters: mem -t 4 -k 32 -M). The depth was calculated by dividing the total number of bases in the mapped reads by the size of the assembled genome. The 1x or 4x coverage was calculated as the percentage of the assembled genome with more than one or four reads at each site. Single Nucleotide Polymorphism (SNPs) detection was performed using GATK (DePristo et al. 2011). Ribosomal RNA in the genome was found by aligning to the rRNA database or predicted by rRNAmmer (Version 1.2) software (Lagesen et al. 2007). Genome annotation Coding gene prediction was performed by Novogen with GeneMarkS Version 4.17 (Besemer 2001). IslandPath-DIOMB (Version 0.2) (Hsiao et al. 2003) and phiSpy (Version2.3) (Akhter et al. 2012) were used for prediction of genomic islands and prophage insertions. For gene function analysis DIAMOND alignment (Buchfink et al. 2015) was performed between the predicted protein sequence and protein databases; for each sequence the alignment result with highest score (identity≥ 40%, coverage≥ 40%) was selected for annotation. Genetic maps were drawn with SnapGene Viewer Version 7.2. Results Genome sequencing and assembly Genomic DNA was extracted from axenic cultures of MAR44 strain to prepare random libraries for Illumina sequencing. A total of 11,676,222 clean reads produced 1,7 G of data and were used for the final assembly. Sequenced reads were mapped to the assembly results, and then depth and GC content of the assembly results were counted to reflect the distribution of both GC content and the sequencing depth. The average coverage and deep are estimated in 100% and 95x respectively. The sequence output totalled 5,255,585 bp consisting of nine contigs assembled in six scaffolds (Tables 1&2). Table 1: Statistics of genome assembly Table 2: Coverage and depth of scaffolds Mapping to the R. alexandrii DFL-11 reference genome Genome re-sequencing against the reference genome of R. alexandrii strain DFL-11 (Fiebig et al. 2013) (Hördt et al. 2020), available through NCBI, was performed to infer the genetic distance with the MAR44 strain. A total of 10,659,315 clean reads of MAR44 strain mapped to the DFL-11 reference assembly. This represents a mapping rate of 91.76%. The average depth of mapped reads at each site is 280x. The 1x and 4x coverages are 89.21% and 89.13% respectively. The mapping rate reflects the similarity between both genomes. The depth and coverage are indicators of the evenness and homology with the reference genome. Genome re-sequencing data were also used to perform a study of genetic variation (SNPs, InDels, Structural Variants and Copy Number Variation) between both strains (not shown): The analysis detected 19,952 non-synonymous SNPs between both strains. Analysis of 16s rRNA Extraction of 16s rRNA sequences with rRNAmmer was performed. MAR44 strain harbours four identical 16S rRNA copies, with a length of 1,471 bp each. The homology of the 16S rRNA sequence was studied by blasting against the core nt database at NCBI. The highest homology (100%) was found with the 16S rRNA sequence of L. alexandrii strain CECT 5112 (11OM15) (GenBank MK156392.1). The CECT 5112 strain was isolated from oysters cultured off the Spanish Mediterranean coast at Vinaròs (Valencia, Spain), a geographic location close to the sampling place of MAR44 strain. Blasta hits with rRNA from other species of the genus like L. alba (Biebl et al. 2007) were under 98.5% homology. Genome annotation Coding gene prediction was performed with GeneMarkS to extract a total of 5,019 coding genes (Table 3), which represent 89.33 % of the genome. Gene length distribution was plotted (not shown) to stablish the gene average length in 935 bp. Gene function analysis was surveyed against common protein databases (NR, COG, Pfam, GO, KEGG, CAZy, TCDB and Swiss-Prot) to produce a total of 4,774 protein-annotated genes. Genes were distributed within the database categories (not shown); the supplemental S1 table summarizes the annotation results from all the functional databases. Genomic islands and prophage insertions were also predicted and listed with other genome features in Table 3. Table 3: General features of the genome A total of 4,473 genes could be assigned to NR (Li et al. 2002), the non-redundant protein database maintained by NCBI. Since its comprehensive annotation result contains species information, it can therefore be used for species classification. Based on the species conditions of gene annotation, the number of species and annotated genes were counted and a total of 4,406 genes could be assigned to R. alexandrii . Annotation against the COG (Cluster of Orthologous Groups of proteins) database (Galperin et al. 2015) yielded a total of 3,790 genes assigned to COG functions. Farther inspection of the annotations by relevant COG categories allowed to identify genes involved in PHA metabolism. PHA genes The genome of C. necator H16 (Pohlmann et al. 2006) has been well-studied in relation to PHA production. In addition to biosynthetic genes, the H16 strain harbours the genetic machinery to accumulate large amounts of PHAs in intracellular storage granules where the polymerisation and depolymerisation is tightly regulated during carbon starvation. The pathway for PHA synthesis involves three consecutive steps (i) condensation of two molecules of acyl/acetyl-CoA by a 3-ketothiolase (PhaA) (ii) reduction to 3-hydroxyacyl-CoA by the acetoacyl-CoA reductase (PhaB) (iii) addition of the hydroxyacyl-CoA monomer to an existing polymer by the final enzyme, PHA synthase (PhaC). All strains of C. necator harbour a pha C gene for a class I PHA synthase, which has a preference for short-chain monomers, whereas medium-chain PHAs require class II synthases (Rehm 2003). The accumulation of high-molecular weight PHA in the storage granules is regulated by the PhaZ depolymerase and the phasin proteins (PhaP). Phasins are associated to the granule external coat to stabilize the nascent polymer and provide the hydrophobic environment required for its accumulation (Mezzina and Pettinari 2016). Here we have identified nine genes of MAR44 strain involved in the biosynthesis, depolymerisation and formation of PHA granules (Fig 1). The phaA and phaB genes for biosynthesis are clustered together with phaR in a 3 kb region of the genome. The phaR gene encodes for the PHA synthesis repressor which in other a-proteobacteria binds both DNA regions in the promoters of biosynthetic genes and PHA oligomers to regulate PHA polymerisation in the granules (Maehara et al. 2002). In separated regions of the genome are located the phaC and phaZ genes, encoding for a type I polymerase and a depolymerase, respectively. Finally, four genes encoding for phasin family proteins have been found in contiguous ( phaP1 and phaP2 ) or separated ( phaP3 and phaP4 ) genomic regions. Inspection of the COG annotation revealed a second putative poly-beta-hydroxybutyrate synthase in MAR44 genome. Although the predicted protein is unusually long for a PHA polymerase, the N-terminal domain shows a moderate homology to the class III PHA polymerases of several archaea (41% over a length of 302 aminoacids with Haloferax mediterraeii phaC ). Photosynthesis Gene Cluster The photosynthetic apparatus of aerobic anoxygenic phototropic bacteria is encoded by a number of genes organised in a so-called photosynthesis gene cluster (PGC) (Alberti 1995). The presence of some genes for bacteriochorophyl (Bch) a synthesis was verified by PCR in L. alexandrii type strain (Biebl et al. 2007). However, the capability for photosynthetic growth requires the formation of a complete photosynthetic reaction centre (RC) and light-harvesting (LH) complexes, in addition to Bch and carotenoid biosynthesis (Zsebo and Hearst 1984). The KEGG genome annotation list (S1) was inspected to find photosynthesis-related genes in the MAR44 genome. We identified first the bchHLM operon for the divinyll-protochlorophyllide a biosynthesis, in the shared pathway for the clorophyll and bacteriochlorophyll precursor (Proctor et al. 2022). Inspection of the adjacent regions in the genome delimited other PGC components clustered together in a 31 kb region (Fig 1). The region contains twelve bch / chl genes for bacteriochlorophyll biosynthesis, four puf genes for the photosynthetic reaction centre with the core pufLM genes for the M- and L-chain subunits of the RC, four puh genes for LH complexes, and two pucC homologues for the BCD family of chlorophyll transporters. The regulatory gene ppsR , encoding for a transcriptional activator, is also included in the cluster. The operons are organised in two differentiated sub-clusters with bchFNBHLM-puh in one orientation and bchCXYZ-puf in the opposite one. Fig.1: Arrangement and relative size of the genes involved in PHA production and photosynthesis A) Map of the scaffold 1 showing the position of the photosynthesis gene cluster and phaC gene; top track represents the DNA sequence coloured by GC content; bottom track represents the gene density B) The genes involved in PHA production are represented in detail on the same scale; top: phaA , phaB and phaC genes are involved in the final steps of PHA biosynthetic pathway, phaA and phaB are clustered with the phaR regulator; middle: the phaZ gene for the intracellular depolymerase is shown; bottom: phaP genes encoding for phasin-type proteins involved in the formation of PHA granules are represented; double slash indicates non-contiguous regions in the genome C) A continuous region of 31 kb contains the photosynthesis gene cluster with genes for (bacterio) chlorophyll biosynthesis ( bch/chl) , photosynthetic reaction center ( puf) , light harvesting complexes ( puh ) and transcriptional regulation ( ppsR ) as the main components; LHP , light harvesting protein; BCD bacteriochlorophyll delivery family major facilitator superfamily (MFS) transporter. Discussion We provide the WGS data and genome annotation for a PHA-producing bacterium isolated from marine biofilms. The genome has been sequenced and de novo assembled to an average depth of 95 X. Comparison by re-sequencing analysis with the genome available for R. alexandrii DEFL-11 T indicates close proximity between both isolates. Genomic traits of MAR 44 strain are also in accordance with those reported for DFL-11 type strain (Fiebig et al. 2013 ), and the 16S RNA sequence of both strain shares 100% identity over a length of 1471 bp. The morphological characteristics and the GC content of 56,33% is also consistent with the first description of L. alexandrii (Biebl et al. 2007 ). The species was placed in the new Labrenzia genus of aerobic anoxygenic phototrophs, although the complete genome sequence of some strains does not support the presence of photosynthetic genes. For example, strain CP4 isolated from self-regenerating biocathode biofilm does not contain the puf LM genes for a photosynthetic reaction centre or bacteriochlorophyll synthase genes (Wang and Zhang 2021 ). Here we demonstrated the presence of a complete photosynthetic apparatus in the genome of MAR44 strain, with a cluster of 27 genes encoding for the enzymes of bacteryochlorophll a biosynthesis, the photosynthetic reaction centre and the peripheral light-harvesting complexes. Moreover, the PpsR gene for the master regulator of photosystem development is also present in the cluster. Thus, MAR44 strain is well equipped to operate as a phototropic organism in marine environments. As expected from the PCR screening, the genome of MAR44 strain contains a complete coding sequence for the PhaC polymerase, the key enzyme in the PHA biosynthetic pathway. In a different location the phaA and phaB genes are clustered together with the phaR transcriptional regulor. This enables the last tree steps of the pathway and the availability of hydroxyacyl-CoA monomeric precursors for the polymer assemblage. However, the accumulation of PHA in the cytoplasmic storage granules is essential to guarantee the stability of the nascent polymer and form high-molecular-weight PHA. The phaP phasin genes in the genome are envisaged to play an important role in granules formation. The cytoplasmic accumulation and polymerisation up to high-molecular-weight PHA positively influences its recovery rate and physical properties during industrial production. Thus, the PHA-related attributes found in MAR44 strain are in consonance with the capacity for bioplastic production that we describe in another manuscript (García et al, submitted to this journal). Aerobic anoxygenic phototrophic bacteria are photoheterotrophic microbes inhabiting euphotic zones of the oceans (Béjà et al. 2002 ). They harvest light using the photosynthetic apparatus to obtain energy and are thought to play an important role in the oceanic carbon cycling (Kolber et al. 2001 ). The findings in MAR44 genome open the possibility to explore the production of bioplastics by this microorganism in oligotrophic marine environments. Genome accession This Whole Genome Shotgun project has been deposited at DDBJ/ENA/GenBank under the accession JBFPJP000000000. The version described in this paper is version JBFPJP010000000. Sequence Read Archives can be accessed under SRR29914836. The reference Bioproject and Biosample are PRJNA1134635 and SAMN42422140. Declarations Supplementary material S1 Genome annotation summary with PHA and PGC genes as mentioned in the text. Competing interest The authors declare no competing interests. Author Contribution S.G. wrote the main manuscript text and conduct experimental, D.S. experimental support, A.M. review the manuscript and supervise the work, L.C. principal investigator of the research, supervise the work and leader of the research group. All authors reviewed the manuscript Acknowledgements This research is part of the project TED2021-130211B-C31 funded by MCIN/AEI /10.13039/501100011033and by the European Union NextGenerationEU/PRTR. Also, it has also been granted with the financial support of MCIN/AEI/ 10.13039/501100011033and FEDER “Una manera de hacer Europa”, project number PID2021-128749OB-C32. References Akhter S, Aziz RK, Edwards RA (2012) PhiSpy: a novel algorithm for finding prophages in bacterial genomes that combines similarity- and composition-based strategies. Nucleic Acids Res 40:e126–e126. https://doi.org/10.1093/nar/gks406 Alberti M, BDH& HJE (1995) Anoxygenic Photosynthetic Bacteria. 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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-5965645","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Short Report","associatedPublications":[],"authors":[{"id":420284144,"identity":"7823bfa2-3108-497e-891f-5c63b90c4062","order_by":0,"name":"Susana García-Sánchez","email":"","orcid":"","institution":"Universitat Jaume I (UJI), Castelló de la Plana","correspondingAuthor":false,"prefix":"","firstName":"Susana","middleName":"","lastName":"García-Sánchez","suffix":""},{"id":420284145,"identity":"5249b1e3-593f-49e9-881d-d4231bbb5305","order_by":1,"name":"Diego Saliente Soler","email":"","orcid":"","institution":"Universitat Jaume I (UJI), Castelló de la Plana","correspondingAuthor":false,"prefix":"","firstName":"Diego","middleName":"Saliente","lastName":"Soler","suffix":""},{"id":420284146,"identity":"a722bb81-e5e9-4d60-9ec2-e82a7992a6e4","order_by":2,"name":"Anna Marín","email":"","orcid":"","institution":"Universitat Jaume I (UJI), Castelló de la Plana","correspondingAuthor":false,"prefix":"","firstName":"Anna","middleName":"","lastName":"Marín","suffix":""},{"id":420284147,"identity":"977258f1-5a7e-403a-bd84-f21642bba32b","order_by":3,"name":"Luis Cabedo","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAsklEQVRIiWNgGAWjYBACPgYGNhCSY2A42ECcFjYoMiZdSyKR6kFa2A8/e/ChzCZ9w8HDDQwf/hCjhSfN3HDGubTcDQcONjDObCNGiwSDmTRv22GwFmZeYpzHJsH+Tfpv2+F0A5CWP0Q5TILHTJqx7XACWAsoKAhr4ckpN+w5l2Y4E6jlYC8xfuFnP77twY8yG3m+G8cfPvhBjMMQQOIAwwGSNADtayBRwygYBaNgFIwYAABW8DlHFLUGfQAAAABJRU5ErkJggg==","orcid":"","institution":"Universitat Jaume I (UJI), Castelló de la Plana","correspondingAuthor":true,"prefix":"","firstName":"Luis","middleName":"","lastName":"Cabedo","suffix":""}],"badges":[],"createdAt":"2025-02-05 12:23:15","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-5965645/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-5965645/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":77262032,"identity":"42705c65-a4c7-4abc-abcf-898ee1331acf","added_by":"auto","created_at":"2025-02-26 19:39:02","extension":"jpg","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":40716,"visible":true,"origin":"","legend":"\u003cp\u003eArrangement and relative size of the genes involved in PHA production and photosynthesis \u003cstrong\u003eA)\u003c/strong\u003e Map of the scaffold 1 showing the position of the photosynthesis gene cluster and \u003cem\u003ephaC\u003c/em\u003e gene; top track represents the DNA sequence coloured by GC content; bottom track represents the gene density \u003cstrong\u003eB)\u003c/strong\u003e The genes involved in PHA production are represented in detail on the same scale; top: \u003cem\u003ephaA\u003c/em\u003e, \u003cem\u003ephaB\u003c/em\u003e and \u003cem\u003ephaC\u003c/em\u003e genes are involved in the final steps of PHA biosynthetic pathway, \u003cem\u003ephaA\u003c/em\u003e and \u003cem\u003ephaB\u003c/em\u003eare clustered with the \u003cem\u003ephaR\u003c/em\u003e regulator; middle: the \u003cem\u003ephaZ\u003c/em\u003e gene for the intracellular depolymerase is shown; bottom: \u003cem\u003ephaP \u003c/em\u003egenes encoding for phasin-type proteins involved in the formation of PHA granules are represented; double slash indicates non-contiguous regions in the genome \u003cstrong\u003eC)\u003c/strong\u003e A continuous region of 31 kb contains the photosynthesis gene cluster with genes for (bacterio) chlorophyll biosynthesis (\u003cem\u003ebch/chl)\u003c/em\u003e, photosynthetic reaction center (\u003cem\u003epuf)\u003c/em\u003e, light harvesting complexes (\u003cem\u003epuh\u003c/em\u003e) and transcriptional regulation (\u003cem\u003eppsR\u003c/em\u003e) as the main components; \u003cem\u003eLHP\u003c/em\u003e, light harvesting protein; \u003cem\u003eBCD\u003c/em\u003e bacteriochlorophyll delivery family major facilitator superfamily (MFS) transporter.\u003c/p\u003e","description":"","filename":"Picture1.jpg","url":"https://assets-eu.researchsquare.com/files/rs-5965645/v1/4253016c33b4fbe62d864fd2.jpg"},{"id":77928067,"identity":"ccb630d8-9458-4284-b29a-5fc4b53b515c","added_by":"auto","created_at":"2025-03-07 02:17:13","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":640076,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-5965645/v1/d4072e97-827c-4e82-b27f-cba1885937b5.pdf"},{"id":77262037,"identity":"fa6ffe05-a6cb-47b1-9e81-f2c44c43af31","added_by":"auto","created_at":"2025-02-26 19:39:02","extension":"xlsx","order_by":0,"title":"","display":"","copyAsset":false,"role":"supplement","size":1188276,"visible":true,"origin":"","legend":"","description":"","filename":"S1genomeannosummaryGarciaetal.xlsx","url":"https://assets-eu.researchsquare.com/files/rs-5965645/v1/a86838034500ab41fa66b987.xlsx"}],"financialInterests":"No competing interests reported.","formattedTitle":"De novo Genome Sequence of Roseibium alexandrii MAR44 Strain, a Marine Bacterium with Capacity to Synthesize PHA Bioplastics and a Photosynthesis Gene Cluster","fulltext":[{"header":"Introduction","content":"\u003cp\u003ePolyhydroxyalkanoates (PHAs) are naturally occurring biopolymers which represent a sustainable alternative to synthetic plastics, but marine microorganisms have not been exploited so far for their industrial production. The b-proteobacterium \u003cem\u003eCupriavidus necator\u003c/em\u003e H16 is currently the main producer of PHA for the bioplastic industry (Pohlmann et al. \u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e2006\u003c/span\u003e). This soil-borne bacterium synthetises PHAs as large polymeric compounds from monomeric hydroxybutyryl-CoA precursors. However, the thermoplastic properties of these materials are largely affected by their monomeric composition, and so is their biodegradability. Since natural strains of \u003cem\u003eC. necator\u003c/em\u003e preferably accumulate one type of PHA, current research on bioplastics explores the use of other microorganisms able to produce these compounds under a variety of environmental conditions.\u003c/p\u003e \u003cp\u003eDuring the course of a two-years experiment to monitor the degradation and synthesis of these materials in marine environments, we isolated a bacterial strain positive for PHA biosynthetic capacity both in a phenotypic and genotypic screening (Garc\u0026iacute;a-S\u0026aacute;nchez et al, submitted to this journal). The strain was sampled in March 2021 from the 6-months-old biofilm formed on PHA surfaces of a submarine device, at the experimental station of Calpe (38\u0026ordm; 37\u0026rsquo; 54\u0026rsquo;\u0026rsquo; N, 0\u0026ordm; 04\u0026rsquo; 24\u0026rsquo;\u0026rsquo; E, Spain). The 16S rRNA metagenomics analysis of the biofilm sampled from PHA bioplastics indicated an enrichment in bacterial taxa with potential PHA-biosynthetic pathways (Mar\u0026iacute;n et al. \u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e2023\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eFrom this biofilm, MAR44 strain was isolated in marine agar medium, producing smooth, slightly pink colonies after 3 days of incubation at 26 \u0026ordm;C. Under microscope the cells appeared like motile, gram-negative rods of 1\u0026ndash;4 \u0026micro;M length. The sequence of the PCR fragment amplified from this strain in the genotypic screening was compared against the NCBI nr protein database (blast.ncbi.nlm.nih.gov). The top blast hit corresponded to the protein encoded by the \u003cem\u003ephaC\u003c/em\u003e gene (WP_008189946.1) of \u003cem\u003eRoseibium alexandrii\u003c/em\u003e (H\u0026ouml;rdt et al. \u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e2020\u003c/span\u003e) (\u003cem\u003eLabrenzia alexandrii\u003c/em\u003e gen. nov., (Biebl et al. \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e2007\u003c/span\u003e), since the species was reclassified in the new \u003cem\u003eLabrenzia\u003c/em\u003e genus of aerobic anoxygenic phototrophs). The morphological characteristics of the strain were also coincident with this species description. \u003cem\u003eR. alexandrii\u003c/em\u003e is in the α-2 subgroup of \u003cem\u003eProteobacteria\u003c/em\u003e family \u003cem\u003eStappiaceae\u003c/em\u003e, and is a strictly aerobic, non-fermentative chemoheterotroph that requires NaCl for growth. The type strain DFL-11\u003csup\u003eT\u003c/sup\u003e was isolated from cultured cells of the toxic dinoflagellate \u003cem\u003eAlexandrium lusitanicum\u003c/em\u003e. This species has also been associated with other marine hosts like algae, halophytes and filter-feeding invertebrates such us sponges and oysters.\u003c/p\u003e"},{"header":"Materials and Methods","content":"\u003cp\u003e\u003cstrong\u003eDNA extraction, genome sequencing and assembly\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eHigh-molecular-weight DNA from the MAR44 isolate was extracted with the Wizard genomic DNA purification kit (Promega, Madison, WI, USA) and submitted to Novogen Corporation Inc for \u003cem\u003ede novo\u003c/em\u003e whole genome sequencing (WGS). The DNA was randomly sheared to construct paired-end libraries (350 bps) and sequenced on the\u0026nbsp;Illumina NovaSeq X Plus platform. Sequencing reads were filtered with fastp (Chen et al. 2018) to remove low quality data.\u0026nbsp;Before assembly, genome size was estimated by K-mer analysis. After obtaining clean data, different assemblies with the optimal \u003cem\u003ek\u003c/em\u003e-mer and the least scaffolds were performed and integrated with CISA (Lin and Liao 2013). Gapclose (Version: 1.12) was used to fill the gaps and obtain the final assembly result. Fragments whose length were shorter than 500 bp were filtered and sequences decontaminated\u0026nbsp;before proceeding for data evaluation and statistical analysis. Sequenced reads were mapped to the assembly results to estimate the average coverage and sequencing depth.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMapping to the reference genome\u003c/strong\u003e:\u003c/p\u003e\n\u003cp\u003eThe reference genome ASM15809v2 is composed of three scaffolds of 5,300,354, 93,929 and 68,647 bp for one chromosome and two plasmids respectively. The reference sequence totalling for 5,462,930 bp was downloaded from www.ncbi.nlm.nih.gov/datasets/genome/GCF_000158095.2. The effective sequencing data of MAR44 strain was aligned with the reference through BWA (Li et al. 2008)software (parameters: mem -t 4 -k 32 -M). The depth was calculated by dividing the total number of bases in the mapped reads by the size of the assembled genome. The 1x or 4x coverage was calculated as the percentage of the assembled genome with more than one or four reads at each site.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eSingle Nucleotide Polymorphism (SNPs) detection was performed using GATK (DePristo et al. 2011).\u003c/p\u003e\n\u003cp\u003eRibosomal RNA in the genome was found by aligning to the rRNA database or predicted by rRNAmmer (Version 1.2) software (Lagesen et al. 2007). \u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eGenome annotation\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eCoding gene prediction was performed by Novogen with GeneMarkS Version 4.17 (Besemer 2001). IslandPath-DIOMB (Version 0.2) (Hsiao et al. 2003) and phiSpy (Version2.3) (Akhter et al. 2012) were used for prediction of genomic islands and prophage insertions. For gene function analysis DIAMOND alignment (Buchfink et al. 2015) was performed between the predicted protein sequence and protein databases; for each sequence the alignment result with highest score (identity≥ 40%, coverage≥ 40%) was selected for annotation.\u003c/p\u003e\n\u003cp\u003eGenetic maps were drawn with SnapGene Viewer Version 7.2.\u003c/p\u003e"},{"header":"Results","content":"\u003cp\u003e\u003cstrong\u003eGenome sequencing and assembly\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eGenomic DNA was extracted from axenic cultures of MAR44 strain to prepare random libraries for Illumina sequencing. A total of 11,676,222 clean reads produced 1,7 G of data and were used for the final assembly. Sequenced reads were mapped to the assembly results, and then depth and GC content of the assembly results were counted to reflect the distribution of both GC content and the sequencing depth. The average coverage and deep are estimated in 100% and 95x respectively. The sequence output totalled 5,255,585 bp consisting of nine contigs assembled in six scaffolds (Tables 1\u0026amp;2).\u003c/p\u003e\n\u003cp\u003eTable 1: Statistics of genome assembly\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\"\u003e\u003c/p\u003e\n\u003cp\u003eTable 2: Coverage and depth of scaffolds\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003cimg 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\"\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMapping to the \u003cem\u003eR. alexandrii\u0026nbsp;\u003c/em\u003eDFL-11 reference genome\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eGenome re-sequencing against the reference genome of \u003cem\u003eR. alexandrii\u0026nbsp;\u003c/em\u003estrain DFL-11 (Fiebig et al. 2013) (H\u0026ouml;rdt et al. 2020), available through NCBI, was performed to infer the genetic distance with the MAR44 strain.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eA total of 10,659,315 clean reads of MAR44 strain mapped to the DFL-11 reference assembly. This represents a mapping rate of 91.76%. The average depth of mapped reads at each site is 280x. The 1x and 4x coverages are 89.21% and 89.13% respectively. The mapping rate reflects the similarity between both genomes. The depth and coverage are indicators of the evenness and homology with the reference genome.\u003c/p\u003e\n\u003cp\u003eGenome re-sequencing data were also used to perform a study of genetic variation (SNPs, InDels, Structural Variants and Copy Number Variation) between both strains (not shown): The analysis detected 19,952 non-synonymous SNPs between both strains.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAnalysis of 16s rRNA\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eExtraction of 16s rRNA sequences with rRNAmmer was performed. MAR44 strain harbours four identical 16S rRNA copies, with a length of 1,471 bp each. The homology of the 16S rRNA sequence was studied by blasting against the core nt database at NCBI. The highest homology (100%) was found with the 16S rRNA sequence of \u003cem\u003eL. alexandrii\u003c/em\u003e strain CECT 5112 (11OM15) (GenBank MK156392.1). The CECT 5112 strain was isolated from oysters cultured off the Spanish Mediterranean coast at Vinar\u0026ograve;s (Valencia, Spain), a geographic location close to the sampling place of MAR44 strain. Blasta hits with rRNA from other species of the genus like \u003cem\u003eL. alba\u003c/em\u003e (Biebl et al. 2007) were under 98.5% homology.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eGenome annotation\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eCoding gene prediction was performed with GeneMarkS to extract a total of 5,019 coding genes (Table 3), which represent 89.33 % of the genome. Gene length distribution was plotted (not shown) to stablish the gene average length in 935 bp. Gene function analysis was surveyed against common protein databases (NR,\u0026nbsp;COG,\u0026nbsp;Pfam, GO, KEGG,\u0026nbsp;CAZy, TCDB and Swiss-Prot) to produce a total of 4,774 protein-annotated genes. Genes were distributed within the database categories (not shown); the supplemental S1 table summarizes the annotation results from all the functional databases. Genomic islands and prophage insertions were also predicted and listed with other genome features in Table 3.\u003c/p\u003e\n\u003cp\u003eTable 3: \u0026nbsp;General features of the genome\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\"\u003e\u003c/p\u003e\n\u003cp\u003eA total of 4,473 genes could be assigned to NR (Li et al. 2002), the non-redundant protein database maintained by NCBI. Since its comprehensive annotation result contains species information, it can therefore be used for species classification. Based on the species conditions of gene annotation, the number of species and annotated genes were counted and a total of 4,406 genes could be assigned to \u003cem\u003eR. alexandrii\u003c/em\u003e. Annotation against the COG (Cluster of Orthologous Groups of proteins) database (Galperin et al. 2015) yielded a total of 3,790 genes assigned to COG functions. Farther inspection of the annotations by relevant COG categories allowed to identify genes involved in PHA metabolism.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003ePHA genes\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe genome of \u003cem\u003eC. necator\u003c/em\u003e H16 (Pohlmann et al. 2006) has been well-studied in relation to PHA production. In addition to biosynthetic genes, the H16 strain harbours the genetic machinery to accumulate large amounts of PHAs in intracellular storage granules where the polymerisation and depolymerisation is tightly regulated during carbon starvation.\u003c/p\u003e\n\u003cp\u003eThe pathway for PHA synthesis involves three consecutive steps (i) condensation of two molecules of acyl/acetyl-CoA by a 3-ketothiolase (PhaA) (ii) reduction to 3-hydroxyacyl-CoA by the acetoacyl-CoA reductase (PhaB) (iii) addition of the hydroxyacyl-CoA monomer to an existing polymer by the final enzyme, PHA synthase (PhaC). All strains of \u003cem\u003eC. necator\u003c/em\u003e harbour a \u003cem\u003epha\u003c/em\u003eC gene for a class I PHA synthase, which has a preference for short-chain monomers, whereas medium-chain PHAs require class II synthases (Rehm 2003). The accumulation of high-molecular weight PHA in the storage granules is regulated by the PhaZ depolymerase and the phasin proteins (PhaP). Phasins are associated to the granule external coat to stabilize the nascent polymer and provide the hydrophobic environment required for its accumulation (Mezzina and Pettinari 2016).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eHere we have identified nine genes of MAR44 strain involved in the biosynthesis, depolymerisation and formation of PHA granules (Fig 1). The \u003cem\u003ephaA\u003c/em\u003e and \u003cem\u003ephaB\u003c/em\u003e genes for biosynthesis are clustered together with \u003cem\u003ephaR\u003c/em\u003e in a 3 kb region of the genome. The \u003cem\u003ephaR\u003c/em\u003e gene encodes for the PHA synthesis repressor which in other\u0026nbsp;a-proteobacteria binds both DNA regions in the promoters of biosynthetic genes and PHA oligomers to regulate PHA polymerisation in the granules (Maehara et al. 2002). In separated regions of the genome are located the \u003cem\u003ephaC\u003c/em\u003e and \u003cem\u003ephaZ\u003c/em\u003e genes, encoding for a type I polymerase and a depolymerase, respectively. Finally, four genes encoding for phasin family proteins have been found in contiguous (\u003cem\u003ephaP1\u003c/em\u003e and \u003cem\u003ephaP2\u003c/em\u003e) or separated (\u003cem\u003ephaP3\u003c/em\u003e and \u003cem\u003ephaP4\u003c/em\u003e) genomic regions.\u003c/p\u003e\n\u003cp\u003eInspection of the COG annotation revealed a second putative poly-beta-hydroxybutyrate synthase in MAR44 genome. Although the predicted protein is unusually long for a PHA polymerase, the N-terminal domain shows a moderate homology to the class III PHA polymerases of several archaea (41% over a length of 302 aminoacids with \u003cem\u003eHaloferax mediterraeii\u003c/em\u003e \u003cem\u003ephaC\u003c/em\u003e).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003ePhotosynthesis Gene Cluster\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe photosynthetic apparatus of aerobic anoxygenic phototropic bacteria is encoded by a number of genes organised in a so-called photosynthesis gene cluster (PGC) (Alberti 1995). The presence of some genes for bacteriochorophyl (Bch) \u003cem\u003ea\u003c/em\u003e synthesis was verified by PCR in \u003cem\u003eL. alexandrii\u003c/em\u003e type strain (Biebl et al. 2007). However, the capability for photosynthetic growth requires the formation of a complete photosynthetic reaction centre (RC) and light-harvesting (LH) complexes, in addition to Bch and carotenoid biosynthesis (Zsebo and Hearst 1984).\u003c/p\u003e\n\u003cp\u003eThe KEGG genome annotation list (S1) was inspected to find photosynthesis-related genes in the MAR44 genome. We identified first the \u003cem\u003ebchHLM\u003c/em\u003e operon for the divinyll-protochlorophyllide \u003cem\u003ea\u0026nbsp;\u003c/em\u003ebiosynthesis, in the shared pathway for the clorophyll and bacteriochlorophyll precursor (Proctor et al. 2022). Inspection of the adjacent regions in the genome delimited other PGC components clustered together in a 31 kb region (Fig 1). The region contains twelve \u003cem\u003ebch\u003c/em\u003e/\u003cem\u003echl\u003c/em\u003e genes for bacteriochlorophyll biosynthesis, four \u003cem\u003epuf\u003c/em\u003e genes for the photosynthetic reaction centre with the core \u003cem\u003epufLM\u003c/em\u003e genes for the M- and L-chain subunits of the RC, four \u003cem\u003epuh\u003c/em\u003e genes for LH complexes, and two \u003cem\u003epucC\u003c/em\u003e homologues for the BCD family of chlorophyll transporters. The regulatory gene \u003cem\u003eppsR\u003c/em\u003e, encoding for a transcriptional activator, is also included in the cluster. The operons are organised in two differentiated sub-clusters with \u003cem\u003ebchFNBHLM-puh\u003c/em\u003e in one orientation and \u003cem\u003ebchCXYZ-puf\u0026nbsp;\u003c/em\u003ein the opposite one.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFig.1:\u003c/strong\u003eArrangement and relative size of the genes involved in PHA production and photosynthesis \u003cstrong\u003eA)\u003c/strong\u003e Map of the scaffold 1 showing the position of the photosynthesis gene cluster and \u003cem\u003ephaC\u003c/em\u003e gene; top track represents the DNA sequence coloured by GC content; bottom track represents the gene density \u003cstrong\u003eB)\u003c/strong\u003e The genes involved in PHA production are represented in detail on the same scale; top: \u003cem\u003ephaA\u003c/em\u003e, \u003cem\u003ephaB\u003c/em\u003e and \u003cem\u003ephaC\u003c/em\u003e genes are involved in the final steps of PHA biosynthetic pathway, \u003cem\u003ephaA\u003c/em\u003e and \u003cem\u003ephaB\u003c/em\u003e are clustered with the \u003cem\u003ephaR\u003c/em\u003e regulator; middle: the \u003cem\u003ephaZ\u003c/em\u003e gene for the intracellular depolymerase is shown; bottom: \u003cem\u003ephaP\u003c/em\u003egenes encoding for phasin-type proteins involved in the formation of PHA granules are represented; double slash indicates non-contiguous regions in the genome \u003cstrong\u003eC)\u003c/strong\u003e A continuous region of 31 kb contains the photosynthesis gene cluster with genes for (bacterio) chlorophyll biosynthesis (\u003cem\u003ebch/chl)\u003c/em\u003e, photosynthetic reaction center (\u003cem\u003epuf)\u003c/em\u003e, light harvesting complexes (\u003cem\u003epuh\u003c/em\u003e) and transcriptional regulation (\u003cem\u003eppsR\u003c/em\u003e) as the main components; \u003cem\u003eLHP\u003c/em\u003e, light harvesting protein; \u003cem\u003eBCD\u003c/em\u003e bacteriochlorophyll delivery family major facilitator superfamily (MFS) transporter.\u003c/p\u003e"},{"header":"Discussion","content":"\u003cp\u003eWe provide the WGS data and genome annotation for a PHA-producing bacterium isolated from marine biofilms. The genome has been sequenced and \u003cem\u003ede novo\u003c/em\u003e assembled to an average depth of 95 X. Comparison by re-sequencing analysis with the genome available for \u003cem\u003eR. alexandrii\u003c/em\u003e DEFL-11\u003csup\u003eT\u003c/sup\u003e indicates close proximity between both isolates. Genomic traits of MAR 44 strain are also in accordance with those reported for DFL-11 type strain (Fiebig et al. \u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e2013\u003c/span\u003e), and the 16S RNA sequence of both strain shares 100% identity over a length of 1471 bp. The morphological characteristics and the GC content of 56,33% is also consistent with the first description of \u003cem\u003eL. alexandrii\u003c/em\u003e (Biebl et al. \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e2007\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eThe species was placed in the new \u003cem\u003eLabrenzia\u003c/em\u003e genus of aerobic anoxygenic phototrophs, although the complete genome sequence of some strains does not support the presence of photosynthetic genes. For example, strain CP4 isolated from self-regenerating biocathode biofilm does not contain the \u003cem\u003epuf\u003c/em\u003eLM genes for a photosynthetic reaction centre or bacteriochlorophyll synthase genes (Wang and Zhang \u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). Here we demonstrated the presence of a complete photosynthetic apparatus in the genome of MAR44 strain, with a cluster of 27 genes encoding for the enzymes of bacteryochlorophll \u003cem\u003ea\u003c/em\u003e biosynthesis, the photosynthetic reaction centre and the peripheral light-harvesting complexes. Moreover, the \u003cem\u003ePpsR\u003c/em\u003e gene for the master regulator of photosystem development is also present in the cluster. Thus, MAR44 strain is well equipped to operate as a phototropic organism in marine environments.\u003c/p\u003e \u003cp\u003eAs expected from the PCR screening, the genome of MAR44 strain contains a complete coding sequence for the \u003cem\u003ePhaC\u003c/em\u003e polymerase, the key enzyme in the PHA biosynthetic pathway. In a different location the \u003cem\u003ephaA\u003c/em\u003e and \u003cem\u003ephaB\u003c/em\u003e genes are clustered together with the \u003cem\u003ephaR\u003c/em\u003e transcriptional regulor. This enables the last tree steps of the pathway and the availability of hydroxyacyl-CoA monomeric precursors for the polymer assemblage. However, the accumulation of PHA in the cytoplasmic storage granules is essential to guarantee the stability of the nascent polymer and form high-molecular-weight PHA. The \u003cem\u003ephaP\u003c/em\u003e phasin genes in the genome are envisaged to play an important role in granules formation. The cytoplasmic accumulation and polymerisation up to high-molecular-weight PHA positively influences its recovery rate and physical properties during industrial production. Thus, the PHA-related attributes found in MAR44 strain are in consonance with the capacity for bioplastic production that we describe in another manuscript (Garc\u0026iacute;a et al, submitted to this journal).\u003c/p\u003e \u003cp\u003eAerobic anoxygenic phototrophic bacteria are photoheterotrophic microbes inhabiting euphotic zones of the oceans (B\u0026eacute;j\u0026agrave; et al. \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2002\u003c/span\u003e). They harvest light using the photosynthetic apparatus to obtain energy and are thought to play an important role in the oceanic carbon cycling (Kolber et al. \u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e2001\u003c/span\u003e). The findings in MAR44 genome open the possibility to explore the production of bioplastics by this microorganism in oligotrophic marine environments.\u003c/p\u003e \u003cdiv id=\"Sec13\" class=\"Section2\"\u003e \u003ch2\u003eGenome accession\u003c/h2\u003e \u003cp\u003eThis Whole Genome Shotgun project has been deposited at DDBJ/ENA/GenBank under the accession JBFPJP000000000. The version described in this paper is version JBFPJP010000000. Sequence Read Archives can be accessed under SRR29914836. The reference Bioproject and Biosample are PRJNA1134635 and SAMN42422140.\u003c/p\u003e \u003c/div\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eSupplementary material\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eS1\u003c/strong\u003e Genome annotation summary with PHA and PGC genes as mentioned in the text.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompeting interest\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare no competing interests.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthor Contribution\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eS.G. wrote the main manuscript text and conduct experimental, D.S. experimental support, A.M. review the manuscript and supervise the work, L.C. principal investigator of the research, supervise the work and leader of the research group. All authors reviewed the manuscript\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAcknowledgements\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis research is part of the project TED2021-130211B-C31 funded by MCIN/AEI /10.13039/501100011033and by the European Union NextGenerationEU/PRTR. Also, it has also been granted with the financial support of MCIN/AEI/ 10.13039/501100011033and FEDER \u0026ldquo;Una manera de hacer Europa\u0026rdquo;, project number PID2021-128749OB-C32.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eAkhter S, Aziz RK, Edwards RA (2012) PhiSpy: a novel algorithm for finding prophages in bacterial genomes that combines similarity- and composition-based strategies. 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Cell 37:937\u0026ndash;947. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/0092-8674(84)90428-8\u003c/span\u003e\u003cspan address=\"10.1016/0092-8674(84)90428-8\" 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":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"WGS, De novo genome assembly, Roseibium alexandrii, polyhydroxyalkanoates; Photosynthesis Gene Cluster, Mediterranean Sea","lastPublishedDoi":"10.21203/rs.3.rs-5965645/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-5965645/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eWe report here the genome sequence of \u003cem\u003eRoseibium alexandrii\u003c/em\u003e strain MAR44, an alpha-proteobacterium isolated from an experimental device to monitor bioplastics colonization in the Mediterranean Sea. The genome assembly comprises a total of 5.25 Mb with a GC content of 56.33% and 5,019 predicted genes. Genome annotation reveals that MAR44 strain contains several \u003cem\u003epha\u003c/em\u003e genes involved in the polymerisation and depolymerisation of polyhydroxyalkanoates; \u003cem\u003ephaA\u003c/em\u003e, \u003cem\u003ephaB\u003c/em\u003e and \u003cem\u003ephaC\u003c/em\u003e encode for the enzymes responsible of the last steps of the biosynthetic pathway, whereas \u003cem\u003ephaZ\u003c/em\u003e encodes for a PHA-depolymerase. We also identified the \u003cem\u003ephaR\u003c/em\u003e regulator and four \u003cem\u003ephaP\u003c/em\u003e genes encoding for phasin proteins with a role in folding and accumulation of PHA in subcellular granules. In addition, we identified a photosynthesis gene cluster including the \u003cem\u003ebch\u003c/em\u003e genes for the bacteriochlorophyll a synthesis and the \u003cem\u003epuf\u003c/em\u003e operon encoding photosynthetic reaction centre and light-harvesting genes. In another manuscript we describe the efficient production of PHA by this strain under different conditions of carbon source supplementation and photosynthetic light.\u003c/p\u003e","manuscriptTitle":"De novo Genome Sequence of Roseibium alexandrii MAR44 Strain, a Marine Bacterium with Capacity to Synthesize PHA Bioplastics and a Photosynthesis Gene Cluster","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-02-26 19:38:57","doi":"10.21203/rs.3.rs-5965645/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"d490614d-8c17-4159-9b99-7c538ac7ac4e","owner":[],"postedDate":"February 26th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2025-03-07T02:08:56+00:00","versionOfRecord":[],"versionCreatedAt":"2025-02-26 19:38:57","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-5965645","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-5965645","identity":"rs-5965645","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}