Hydrogenotrophic methanogenesis and distinct microbial assemblages fostered by dauciform roots of Cladium jamaicense

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This study investigated hydrogenotrophic methanogenesis and identified distinct microbial communities associated with the dauciform roots of <i>Cladium jamaicense</i>.

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This study investigated how dauciform roots of the Florida Everglades macrophyte Cladium jamaicense shape microbial community composition and predicted functional pathways across three soil compartments: bulk soil, general rhizosphere, and dauciform-root rhizosphere, using 16S rRNA gene sequencing from calcareous marl soils near Everglades National Park (n=4 plants). The authors found that compartments differed significantly, with dauciform-root soils showing the lowest Shannon diversity and overall community structure clustering strongly by compartment identity (explaining 66% of variation), with the greatest separation between bulk and dauciform soils. PICRUSt2-based functional predictions indicated enrichment of hydrogenotrophic methanogenesis sequences in dauciform roots, while acetoclastic methanogenesis was most abundant in the general rhizosphere further supporting distinct assemblages. The paper’s caveat is that methanogenesis differences are inferred from predictive functional analysis of 16S data rather than measured directly. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

Nutrient availability regulates ecosystem processes, and plant roots strongly influence nutrient cycling through microbial interaction in the rhizosphere. In the extremely phosphorus-limited Florida Everglades, Cladium jamaicense (sawgrass) develops specialized roots, called dauciform roots, which release carboxylates that mobilize soil-bound nutrients. Although methanogenesis is a well-documented process in wetlands, the composition of methanogenic communities across separate root-associated compartments is not as well characterized. We investigated microbial community composition and predicted functional pathways across bulk soil, the general rhizosphere soil, and the rhizosphere of dauciform roots in calcareous (marl) soils near Everglades National Park. Functional predictions were inferred from 16SrRNA gene data using PICRUSt2 with taxonomic assignments referenced against SILVA v138.2 using rANOMALY. Alpha and beta community analyses revealed significant differences among compartments. Dauciform roots harbored the lowest Shannon diversity, whereas bulk soils supported the most distinct assemblages. Microbial communities clustered strongly by compartments, with compartment identity explaining 66% of the variation (p = 0.001). Pairwise comparisons showed the strongest separation between bulk and dauciform soils. Furthermore, functional predictions showed enrichment of hydrogenotrophic methanogenesis sequences in dauciform roots, while acetoclastic methanogenesis was most abundant in rhizosphere soils further emphasizing their distinct communities. Our preliminary results demonstrate that root-associated compartments foster distinct microbial assemblages with implications for key ecosystem processes, including methanogenesis. These findings highlight how root traits in oligotrophic systems influence carbon cycling and potential methane pathways, contributing to broader insights into microbial community assembly and ecosystem processes in nutrient-limited wetlands. Highlights First genomic investigation of the dauciform root rhizosphere. Root & dauciform rhizosphere harbor microbial communities distinct from bulk soil. Predicted enrichment of hydrogenotrophic methanogens in dauciform roots.
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Hydrogenotrophic methanogenesis and distinct microbial assemblages fostered by dauciform roots of Cladium jamaicense | bioRxiv /* */ /* */ <!-- <!-- /*! * yepnope1.5.4 * (c) WTFPL, GPLv2 */ (function(a,b,c){function d(a){return"[object Function]"==o.call(a)}function e(a){return"string"==typeof a}function f(){}function g(a){return!a||"loaded"==a||"complete"==a||"uninitialized"==a}function h(){var a=p.shift();q=1,a?a.t?m(function(){("c"==a.t?B.injectCss:B.injectJs)(a.s,0,a.a,a.x,a.e,1)},0):(a(),h()):q=0}function i(a,c,d,e,f,i,j){function k(b){if(!o&&g(l.readyState)&&(u.r=o=1,!q&&h(),l.onload=l.onreadystatechange=null,b)){"img"!=a&&m(function(){t.removeChild(l)},50);for(var d in y[c])y[c].hasOwnProperty(d)&&y[c][d].onload()}}var j=j||B.errorTimeout,l=b.createElement(a),o=0,r=0,u={t:d,s:c,e:f,a:i,x:j};1===y[c]&&(r=1,y[c]=[]),"object"==a?l.data=c:(l.src=c,l.type=a),l.width=l.height="0",l.onerror=l.onload=l.onreadystatechange=function(){k.call(this,r)},p.splice(e,0,u),"img"!=a&&(r||2===y[c]?(t.insertBefore(l,s?null:n),m(k,j)):y[c].push(l))}function j(a,b,c,d,f){return q=0,b=b||"j",e(a)?i("c"==b?v:u,a,b,this.i++,c,d,f):(p.splice(this.i++,0,a),1==p.length&&h()),this}function k(){var a=B;return a.loader={load:j,i:0},a}var l=b.documentElement,m=a.setTimeout,n=b.getElementsByTagName("script")[0],o={}.toString,p=[],q=0,r="MozAppearance"in l.style,s=r&&!!b.createRange().compareNode,t=s?l:n.parentNode,l=a.opera&&"[object Opera]"==o.call(a.opera),l=!!b.attachEvent&&!l,u=r?"object":l?"script":"img",v=l?"script":u,w=Array.isArray||function(a){return"[object Array]"==o.call(a)},x=[],y={},z={timeout:function(a,b){return b.length&&(a.timeout=b[0]),a}},A,B;B=function(a){function b(a){var a=a.split("!"),b=x.length,c=a.pop(),d=a.length,c={url:c,origUrl:c,prefixes:a},e,f,g;for(f=0;f<d;f++)g=a[f].split("="),(e=z[g.shift()])&&(c=e(c,g));for(f=0;f<b;f++)c=x[f](c);return c}function g(a,e,f,g,h){var i=b(a),j=i.autoCallback;i.url.split(".").pop().split("?").shift(),i.bypass||(e&&(e=d(e)?e:e[a]||e[g]||e[a.split("/").pop().split("?")[0]]),i.instead?i.instead(a,e,f,g,h):(y[i.url]?i.noexec=!0:y[i.url]=1,f.load(i.url,i.forceCSS||!i.forceJS&&"css"==i.url.split(".").pop().split("?").shift()?"c":c,i.noexec,i.attrs,i.timeout),(d(e)||d(j))&&f.load(function(){k(),e&&e(i.origUrl,h,g),j&&j(i.origUrl,h,g),y[i.url]=2})))}function h(a,b){function c(a,c){if(a){if(e(a))c||(j=function(){var a=[].slice.call(arguments);k.apply(this,a),l()}),g(a,j,b,0,h);else if(Object(a)===a)for(n in m=function(){var b=0,c;for(c in a)a.hasOwnProperty(c)&&b++;return b}(),a)a.hasOwnProperty(n)&&(!c&&!--m&&(d(j)?j=function(){var a=[].slice.call(arguments);k.apply(this,a),l()}:j[n]=function(a){return function(){var b=[].slice.call(arguments);a&&a.apply(this,b),l()}}(k[n])),g(a[n],j,b,n,h))}else!c&&l()}var h=!!a.test,i=a.load||a.both,j=a.callback||f,k=j,l=a.complete||f,m,n;c(h?a.yep:a.nope,!!i),i&&c(i)}var i,j,l=this.yepnope.loader;if(e(a))g(a,0,l,0);else if(w(a))for(i=0;i (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];var j=d.createElement(s);var dl=l!='dataLayer'?'&l='+l:'';j.src='//www.googletagmanager.com/gtm.js?id='+i+dl;j.type='text/javascript';j.async=true;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-M677548'); Skip to main content Home About Submit ALERTS / RSS Search for this keyword Advanced Search New Results Hydrogenotrophic methanogenesis and distinct microbial assemblages fostered by dauciform roots of Cladium jamaicense View ORCID Profile Kevin R. Montiel , View ORCID Profile John S. Kominoski , View ORCID Profile Anna K. Simonsen doi: https://doi.org/10.1101/2025.10.06.680723 Kevin R. Montiel 1 Institute of Environment, Department of Biological Sciences, Florida International University , 11200 SW 8Th Street, Miami, Florida 33199, USA Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Kevin R. Montiel For correspondence: kemontie{at}fiu.edu John S. Kominoski 1 Institute of Environment, Department of Biological Sciences, Florida International University , 11200 SW 8Th Street, Miami, Florida 33199, USA Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for John S. Kominoski Anna K. Simonsen 1 Institute of Environment, Department of Biological Sciences, Florida International University , 11200 SW 8Th Street, Miami, Florida 33199, USA 2 Department of Biological Sciences, University of Alberta , CW 405, Biological Sciences Bldg., Edmonton, Alberta, Canada T6G 2E9 Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Anna K. Simonsen Abstract Full Text Info/History Metrics Data/Code Preview PDF Abstract Nutrient availability regulates ecosystem processes, and plant roots strongly influence nutrient cycling through microbial interaction in the rhizosphere. In the extremely phosphorus-limited Florida Everglades, Cladium jamaicense (sawgrass) develops specialized roots, called dauciform roots, which release carboxylates that mobilize soil-bound nutrients. Although methanogenesis is a well-documented process in wetlands, the composition of methanogenic communities across separate root-associated compartments is not as well characterized. We investigated microbial community composition and predicted functional pathways across bulk soil, the general rhizosphere soil, and the rhizosphere of dauciform roots in calcareous (marl) soils near Everglades National Park. Functional predictions were inferred from 16SrRNA gene data using PICRUSt2 with taxonomic assignments referenced against SILVA v138.2 using rANOMALY. Alpha and beta community analyses revealed significant differences among compartments. Dauciform roots harbored the lowest Shannon diversity, whereas bulk soils supported the most distinct assemblages. Microbial communities clustered strongly by compartments, with compartment identity explaining 66% of the variation (p = 0.001). Pairwise comparisons showed the strongest separation between bulk and dauciform soils. Furthermore, functional predictions showed enrichment of hydrogenotrophic methanogenesis sequences in dauciform roots, while acetoclastic methanogenesis was most abundant in rhizosphere soils further emphasizing their distinct communities. Our preliminary results demonstrate that root-associated compartments foster distinct microbial assemblages with implications for key ecosystem processes, including methanogenesis. These findings highlight how root traits in oligotrophic systems influence carbon cycling and potential methane pathways, contributing to broader insights into microbial community assembly and ecosystem processes in nutrient-limited wetlands. Highlights First genomic investigation of the dauciform root rhizosphere. Root & dauciform rhizosphere harbor microbial communities distinct from bulk soil. Predicted enrichment of hydrogenotrophic methanogens in dauciform roots. Nutrient availability is a primary determinant of ecosystem processes, and plants influence nutrient cycling through interactions with soil microbes through their roots ( Grayston et al., 1998 ). Root systems can alter the biological and chemical conditions of soils. By releasing exudates in the form of labile carbon and carboxylates, roots stimulate microbial activity and increase nutrient availability in the surrounding soil region, known as the rhizosphere ( Oburger et al., 2009 ). In nutrient-limited wetlands such as the ultra-oligotrophic Florida Everglades, phosphorus scarcity shape plants root system, drive underground processes, and affect the distribution of microbial communities ( Noe, 2001 ). Thriving in water saturated soils, methanogens contribute to the production of methane, a greenhouse gas that’s at least twenty-five times more potent than CO 2 ( Aliyev et al., 2020 ). Methanogenesis in wetlands is well documented, yet most studies emphasize soil processes ( Bridgham et al., 2013 ), with comparatively few examining the rhizosphere where roots traits influence microbial community structures. However, far less is known about how methanogenic communities are structured across separate root-associated compartments, where variation in root architecture and carbon inputs may foster distinct microbial assemblages. The Everglades offers a natural setting to study these dynamics, where the dominant native macrophyte, Cladium jamaicense (sawgrass), contributes to the structure and function of the soil environment ( Larsen et al., 2010 ). Depending on nutrient availability, C. jamaicense can produce specialized lateral roots, known as dauciform roots ( Richards & Olivas, 2019 ), which are dense bundles of root-hairs that increase root surface area and enhance nutrient acquisition ( Fig. 1 ) ( Shane et al., 2006 ). As exudation hotspots, dauciform roots help mitigate phosphorus limitations by releasing carboxylates that mobilize soil-bound nutrients (Playstead et al., 2006); however, their influence on rhizosphere microbial communities remains understudied. We present the first preliminary evidence that the root compartments of C. jamaicense harbor distinct microbial communities with differences that extend to the composition of predicted methanogenesis assemblages. We further provide evidence that dauciform roots influence microbial composition, create unique microbial niches, and harbor distinct assemblages that differ from both the general rhizosphere and the non-root-associated bulk soil. Download figure Open in new tab Figure 1. Root morphology of Cladium jamaicense 1A: Bare root with distinct clusters of dauciform roots (D), displaying their distinctive carrot-like shape along the general rhizosphere regions (R). 1B: Washed dauciform root displaying dense root hairs and trapping soil particles, illustrating their specialized morphology for nutrient acquisition. Scale bars: 1A = 1 cm, 1B = 1mm To assess differences in microbial community structure among C. jamaicense compartments, we compared microbial communities of root-associated soil and bulk soil, the portion not directly influenced by roots. A one-meter quadrat was placed in an oligotrophic, calcareous soil (marl), sawgrass-dominated wetland along the eastern boundary of Everglades National Park (25º24’N, 80º33’W). Four mature plants and their surrounding soil were excavated (n=4). The surrounding soil was collected as bulk soil, and the plants were then shaken to remove any soil not directly adhering to the roots. Soil adhering to fine absorptive roots, corresponding to first-to-third order roots, was scraped off and collected as rhizosphere soil ( McCormack et al., 2015 ). Dauciform roots were separated and vortexed in sterile tubes to dislodge soil tightly bound to their root hair clusters. Following manufacturer’s instruction, DNA extraction was done using DNeasy PowerSoil Kit (QIAGEN). The NC State Genomic Sciences Laboratory performed 16SrRNA gene amplification using the primer pair 341F-805R, which amplifies the V3–V4 region, and performed on a NextSeq 2000 (Illumina) using a NextSeq 300 PE P1 flow cell. We processed reads with rANOMALY ( Theil & Rifa, 2021 ), which integrates DADA2 for denoising and resolving amplicon sequence variants (ASV) and subsequently assigned taxonomy against SILVA v.138.2 (Quast et al., 2013). Community analyses were conducted in Phyloseq with visualizations in rANOMALY. Functional predictions based off 16SrRNA (PICRUSt2; Douglas et al., 2020 ) were compared in STAMP ( Parks et al., 2014 ) using ANOVA with Tukey-Kramer post hoc tests, and p-values were corrected by the Benjamini-Hochberg FDR method. Alpha and beta community analyses show significant differences in microbial communities across soil compartments. Shannon diversity index differed significantly by soil type ( Fig. 2A ; p = 0.036), with the dauciform soils being the lowest, bulk soils values were tightly clustered while the rhizosphere soil compartment averaged slightly higher accompanied by greater variability. Principal coordinates analysis ordination (PCoA), based on Bray-Curtis dissimilarities, revealed clear clustering by soil compartment. Points represent individual soil samples, and together the soil compartments explained 66% of the variation in community structure according to PERMANOVA ( Fig. 2D : R 2 = 0.66, p = 0.001). Pairwise PERMANOVA confirmed significant differences among all compartments, with the strongest separation between bulk soil and dauciform roots (R 2 = 0.62, p = 0.038), followed by bulk versus the rhizosphere (R 2 = 0.55, p = 0.038). Together, these results indicate that bulk soils harbor the most distinct assemblages, whereas root-associated compartments also differed significantly (R 2 = 0.43, p = 0.038) but showed partial overlap, indicating greater similarity to each other compared to bulk soil. These patterns may indicate that bulk soil functions as a reservoir of microbial diversity, whereas dauciforms foster specialized assemblages and distinct communities in the general rhizosphere. Download figure Open in new tab Figure 2. Community structure and functional potential for methanogenesis across soil compartments 2A . Observed richness did not differ significantly among compartments. In contrast Shannon diversity was significant (*), indicating that dauciform roots harbored lower diversity compared to bulk and rhizosphere samples. 2B . Hydrogenotrophic methanogenesis pathway is significantly enriched (**) in dauciform root samples. 2C . Predicted acetate-dependent methanogenesis pathways show enriched abundance in rhizosphere soils (*), reflecting a potential functional distinction of microbial communities across root-compartments. 2D . PCoA ordination reveals distinct clustering by compartment, supported by PERMANOVA (**), with bulk soil forming the most distinct assemblages. Methanogenesis pathways were generated using PICRUSt2. Statistical comparisons were performed in rANOMALY and STAMP. Asterisks denote significance: p < 0.05 ( * ), p < 0.01 ( ** ). We applied PICRUSt2 and STAMP to assess the distribution of classified sequences assigned to methanogenesis pathways across the soil compartments. The proportion of predicted sequences associated with the hydrogenotrophic methanogenesis (from H 2 and CO 2 ) pathway was most abundant in dauciform roots, followed by the general rhizosphere and the lowest in the bulk soil ( Fig. 2B : p = 4.92 × 10 −3 ). In contrast, the proportion of predicted acetoclastic methanogenesis pathway sequences, methane formation from the breakdown of acetate, were enriched in the general rhizosphere, with lower enrichment in the dauciforms and the bulk compartments ( Fig. 2C : p = 0.04). Notably, the relative proportion of acetoclastic methanogenesis sequences was double that hydrogenotrophic sequences, consistent with reports indicating that methanogenesis through acetate predominates in wetlands ( Aliyev, 2020 ; Bridgham et al., 2013 ; Conrad, 1999 ). Our preliminary findings indicate that root-associated compartments not only contain distinct microbial communities but also suggest C. jamaicense roots create favorable micro-environments that support unique methanogens. Carbon inputs from C. jamaicense roots, coupled with root strategies that increase nutrient availability, may establish localized hotspots for methanogenesis. These processes are reflected in distinct, inferred hydrogenotrophic and acetoclastic methanogenic pathways. The greater relative abundance of predicted hydrogenotrophic compared to acetoclastic methanogenesis sequences in dauciform roots underscores how specialized root traits influence carbon cycling pathways in oligotrophic wetlands. Further experimental work is needed to disentangle and determine how root traits directly mediate the filtering of microbial communities and shape methane production, contributing to the broader question of how organisms persist and adapt in ultra-low nutrient wetland systems like the Florida Everglades. Funding Sources This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors . Data Availability Statement The data that support the findings of this study are openly available in Figshare at https://doi.org/10.6084/m9.figshare.30282565.v1 , reference number 30282565. Acknowledgements This material was developed in collaboration with the Florida Coastal Everglades Long-Term Ecological Research (FCE-LTER) program under National Science Foundation Grant No. DEB-2025954. We are grateful for the Kominoski Lab from FIU for their in-kind support in granting access to the field site, which made this research possible. Footnotes https://doi.org/10.6084/m9.figshare.30282565.v1 References ↵ Aliyev , Z. H. ( 2020 ). Review of Methanogenesis and its Role . World Journal of Agriculture and Soil Science , 6 ( 2 ), 1 – 7 . DOI: 10.33552/WJASS.2020.06.000632 OpenUrl CrossRef ↵ Bridgham , S. D. , Cadillo-Quiroz , H. , Keller , J. K. , & Zhuang , Q. ( 2013 ). Methane emissions from wetlands: Biogeochemical, microbial, and modeling perspectives from local to global scales . Global Change Biology , 19 ( 5 ), 1325 – 1346 . doi: 10.1111/gcb.12131 OpenUrl CrossRef ↵ Conrad , R. ( 1999 ). Contribution of hydrogen to methane production and control of hydrogen concentrations in methanogenic soils and sediments . FEMS Microbiology Ecology , 28 ( 3 ), 193 – 202 . doi: 10.1111/j.1574-6941.1999.tb00575.x OpenUrl CrossRef Web of Science ↵ Douglas , G. M. , Maffei , V. J. , Zaneveld , J. R. , Yurgel , S. N. , Brown , J. R. , Taylor , C. M. , Huttenhower , C. , & Langille , M. G. I. ( 2020 ). PICRUSt2 for prediction of metagenome functions . Nature Biotechnology , 38 ( 6 ), 685 – 688 . doi: 10.1038/s41587-020-0548-6 OpenUrl CrossRef PubMed ↵ Larsen , L. G. , & Harvey , J. W. ( 2010 ). How Vegetation and Sediment Transport Feedback Drive Landscape Change in the Everglades and Wetlands Worldwide . The American Naturalist , 176 ( 3 ), E66 – E79 . doi: 10.1086/655215 OpenUrl CrossRef PubMed Web of Science ↵ McCormack , M. L. , Dickie , I. A. , Eissenstat , D. M. , Fahey , T. J. , Fernandez , C. W. , Guo , D. , Helmisaari , H.-S. , Hobbie , E. A. , Iversen , C. M. , Jackson , R. B. , Leppälammi-Kujansuu , J. , Norby , R. J. , Phillips , R. P. , Pregitzer , K. S. , Pritchard , S. G. , Rewald , B. , & Zadworny , M. ( 2015 ). Redefining fine roots improves understanding of below-ground contributions to terrestrial biosphere processes . The New Phytologist , 207 ( 3 ), 505 – 518 . doi: 10.1111/nph.13363 OpenUrl CrossRef PubMed ↵ Noe , G. B. , Childers , D. L. , & Jones , R. D. ( 2001 ). Phosphorus Biogeochemistry and the Impact of Phosphorus Enrichment: Why Is the Everglades so Unique? Ecosystems , 4 ( 7 ), 603 – 624 . doi: 10.1007/s10021-001-0032-1 OpenUrl CrossRef Web of Science ↵ Oburger , E. , Kirk , G. J. D. , Wenzel , W. W. , Puschenreiter , M. , & Jones , D. L. ( 2009 ). Interactive effects of organic acids in the rhizosphere . Soil Biology and Biochemistry , 41 ( 3 ), 449 – 457 . doi: 10.1016/j.soilbio.2008.10.034 OpenUrl CrossRef Web of Science ↵ Parks , D. H. , Tyson , G. W. , Hugenholtz , P. , & Beiko , R. G. ( 2014 ). STAMP: Statistical analysis of taxonomic and functional profiles . Bioinformatics , 30 ( 21 ), 3123 – 3124 . doi: 10.1093/bioinformatics/btu494 OpenUrl CrossRef PubMed Playsted , C. W. S. , Johnston , M. E. , Ramage , C. M. , Edwards , D. G. , Cawthray , G. R. , & Lambers , H. ( 2006 ). Functional significance of dauciform roots: Exudation of carboxylates and acid phosphatase under phosphorus deficiency in Caustis blakei (Cyperaceae) . New Phytologist , 170 ( 3 ), 491 – 500 . doi: 10.1111/j.1469-8137.2006.01697.x OpenUrl CrossRef PubMed Web of Science Quast , C. , Pruesse , E. , Yilmaz , P. , Gerken , J. , Schweer , T. , Yarza , P. , Peplies , J. , Glöckner , F.O. , 2024 . SILVA ribosomal RNA gene database, release 138.2 [dataset]. SILVA, July 2024 . https://www.arb-silva.de ↵ Grayston , S. J. , Wang , S. , Campbell , C. D. , & Edwards , A. C. ( 1998 ). Selective influence of plant species on microbial diversity in the rhizosphere . Soil Biology and Biochemistry , 30 ( 3 ), 369 – 378 . doi: 10.1016/S0038-0717(97)00124-7 OpenUrl CrossRef ↵ Richards , J. , & Olivas , P. ( 2019 ). A common-mesocosm experiment recreates sawgrass (Cladium jamaicense) phenotypes from Everglades marl prairies and peat marshes . American Journal of Botany , 107 . doi: 10.1002/ajb2.1411 OpenUrl CrossRef ↵ Shane , M. W. , Cawthray , G. R. , Cramer , M. D. , Kuo , J. , & Lambers , H. ( 2006 ). Specialized ‘dauciform’ roots of Cyperaceae are structurally distinct, but functionally analogous with ‘cluster’ roots . Plant, Cell & Environment , 29 ( 10 ), 1989 – 1999 . doi: 10.1111/j.1365-3040.2006.01574.x OpenUrl CrossRef PubMed Web of Science ↵ Theil , S. , & Rifa , E. ( 2021 ). rANOMALY: AmplicoN wOrkflow for Microbial community AnaLYsis . F1000Research . doi: 10.12688/f1000research.27268.1 OpenUrl CrossRef View the discussion thread. Back to top Previous Next Posted October 06, 2025. Download PDF Data/Code Email Thank you for your interest in spreading the word about bioRxiv. NOTE: Your email address is requested solely to identify you as the sender of this article. Your Email * Your Name * Send To * Enter multiple addresses on separate lines or separate them with commas. 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