Microbial diversity of Atlantic Rainforest ponds assessed by nanopore sequencing
| dc.contributor.author | Atum, Samir V. F. | |
| dc.contributor.author | Soares, Douglas M. M. [UNESP] | |
| dc.contributor.author | Santos, Isaias | |
| dc.contributor.author | Johnson, Grant A. | |
| dc.contributor.author | Domingos, Adão H. R. | |
| dc.contributor.author | Bechara, Etelvino J. H. | |
| dc.contributor.author | Setubal, João C. | |
| dc.contributor.author | Urban, Lara | |
| dc.contributor.author | Stevani, Cassius V. | |
| dc.contributor.author | Freire, Renato S. | |
| dc.contributor.institution | Universidade Estadual Paulista (UNESP) | pt |
| dc.date.accessioned | 2026-07-28T18:46:29Z | |
| dc.date.issued | 2025-06-19 | |
| dc.description.abstract | ABSTRACT Despite their limited size, ponds are ecologically important habitats that harbor rich microbial communities and play key roles in global biodiversity and biogeochemical cycling. In this study, we conducted a metagenomic survey of microbial diversity in three ponds - Vermelha, Grande, and Furnas - situated within the Atlantic Rainforest biome in Brazil. Vermelha and Grande are natural, remote, and minimally impacted by human activity, whereas Furnas is an artificial pond with greater human accessibility. Using a long-read nanopore shotgun metagenomics approach, we sequenced DNA extracted from pond water, assembled metagenomes, and performed taxonomic classification and functional annotation. Furthermore, 21 metagenome-assembled genomes (MAGs) were recovered. Our results reveal pond-specific microbial community structures and functional profiles. Although direct comparison between the ponds would require more samples across the same time period, the microbial snapshots provided attest the striking biodiversity contained within ponds, the current data offer compelling snapshots of microbial diversity. Vermelha was characterized by high abundance of Cyanobacteria and Planctomycetota, while Furnas displayed broader taxonomic diversity, and more notable Actinobacteria and Patescibacteria. Viral communities, including dsDNA bacteriophages and eukaryotic viruses, also varied across sites, with only Prasinovirus consistently detected in all ponds. Functional annotation identified putative antimicrobial resistance genes (ARGs), most of them in Furnas, potentially reflecting human impact. Besides ARGs, cyanotoxin biosynthesis genes, especially those linked to microcystin production, were predominantly found in Vermelha. Our findings underscore the ecological distinctiveness of each pond and demonstrate the utility of nanopore-based metagenomics for investigating microbial biodiversity in understudied freshwater ecosystems. This work provides knowledge on microbial community structure and anthropogenic influence in tropical pond environments, with implications for conservation and biotechnological exploration. GRAPHICAL ABSTRACT | |
| dc.description.affiliation | Departamento de Química Fundamental, Instituto de Química, Universidade de São Paulo, SP, Brazil | |
| dc.description.affiliation | Departamento de Bioquímica, Instituto de Química, Universidade de São Paulo, São Paulo, Brazil | |
| dc.description.affiliation | Helmholtz AI Institute, Helmholtz Pioneer Campus, Munich, Germany | |
| dc.description.affiliation | Department of Bioprocess Engineering and Biotechnology, School of Pharmaceutical Sciences, São Paulo State University, Araraquara, SP, Brazil | |
| dc.description.affiliation | IPBio - Instituto de Pesquisas da Biodiversidade, Iporanga, SP, Brazil | |
| dc.description.affiliation | Vetsuisse Faculty, University of Zurich, Switzerland | |
| dc.description.affiliation | Research Centre for Greenhouse Gas Innovation (RCGI-POLI-USP), University of São Paulo, São Paulo, SP, Brazil | |
| dc.description.affiliationUnesp | Department of Bioprocess Engineering and Biotechnology, School of Pharmaceutical Sciences, São Paulo State University, Araraquara, SP, Brazil | |
| dc.identifier | https://app.dimensions.ai/details/publication/pub.1189954904 | |
| dc.identifier.dimensions | pub.1189954904 | |
| dc.identifier.doi | 10.1101/2025.06.17.660208 | |
| dc.identifier.issn | 2692-8205 | |
| dc.identifier.orcid | 0000-0001-8450-2080 | |
| dc.identifier.orcid | 0000-0002-6503-3976 | |
| dc.identifier.orcid | 0009-0009-9229-7705 | |
| dc.identifier.orcid | 0000-0001-9526-2529 | |
| dc.identifier.orcid | 0000-0001-9174-2816 | |
| dc.identifier.orcid | 0000-0002-5445-9314 | |
| dc.identifier.orcid | 0000-0002-7209-7476 | |
| dc.identifier.orcid | 0000-0001-8594-7225 | |
| dc.identifier.uri | https://hdl.handle.net/11449/328773 | |
| dc.publisher | Cold Spring Harbor Laboratory | |
| dc.relation.ispartof | bioRxiv; p. 2025.06.17.660208 | |
| dc.rights.accessRights | Acesso aberto | pt |
| dc.rights.sourceRights | oa_all | |
| dc.rights.sourceRights | green | |
| dc.source | Dimensions | |
| dc.title | Microbial diversity of Atlantic Rainforest ponds assessed by nanopore sequencing | |
| dc.type | Artigo | pt |
| dspace.entity.type | Publication | |
| relation.isOrgUnitOfPublication | 95697b0b-8977-4af6-88d5-c29c80b5ee92 | |
| relation.isOrgUnitOfPublication.latestForDiscovery | 95697b0b-8977-4af6-88d5-c29c80b5ee92 | |
| unesp.campus | Universidade Estadual Paulista (UNESP), Faculdade de Ciências Farmacêuticas, Araraquara | pt |
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