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dc.contributor.authorGrossart, Hans-Peter-
dc.contributor.authorMassana, Ramon-
dc.contributor.authorMcMahon, Katherine D.-
dc.contributor.authorWalsh, David A.-
dc.date.accessioned2020-02-06T08:45:30Z-
dc.date.available2020-02-06T08:45:30Z-
dc.date.issued2020-01-
dc.identifierissn: 0024-3590-
dc.identifiere-issn: 1939-5590-
dc.identifier.citationLimnology and Oceanography 65(Suppl.1): 2-20 (2020)-
dc.identifier.otherCEX2019-000928-S-
dc.identifier.urihttp://hdl.handle.net/10261/199817-
dc.descriptionSpecial issue Linking Metagenomics to Aquatic Microbial Ecology and Biogeochemical Cycles.-- 19 pages, 1 figure-
dc.description.abstractMicrobial communities are essential components of aquatic ecosystems through their contribution to food web dynamics and biogeochemical processes. Aquatic microbial diversity is immense and a general challenge is to understand how metabolism and interactions of single organisms shape microbial community dynamics and ecosystem‐scale biogeochemical transformations. Metagenomic approaches have developed rapidly, and proven to be powerful in linking microbial community dynamics to biogeochemical processes. In this review, we provide an overview of metagenomic approaches, followed by a discussion on some recent insights they have provided, including those in this special issue. These include the discovery of new taxa and metabolisms in aquatic microbiomes, insights into community assembly and functional ecology as well as evolutionary processes shaping microbial genomes and microbiomes, and the influence of human activities on aquatic microbiomes. Given that metagenomics can now be considered a mature technology where data generation and descriptive analyses are relatively routine and informative, we then discuss metagenomic‐enabled research avenues to further link microbial dynamics to biogeochemical processes. These include the integration of metagenomics into well‐designed ecological experiments, the use of metagenomics to inform and validate metabolic and biogeochemical models, and the pressing need for ecologically relevant model organisms and simple microbial systems to better interpret the taxonomic and functional information integrated in metagenomes. These research avenues will contribute to a more mechanistic and predictive understanding of links between microbial dynamics and biogeochemical cycles. Owing to rapid climate change and human impacts on aquatic ecosystems, the urgency of such an understanding has never been greater-
dc.description.sponsorshipDW was supported by the Canadian National Sciences and Engineering Research Council Discovery and Canada Research Chair programs. KDM acknowledges funding from the United States National Science Foundation Long‐Term Ecological Research Program (NTL–LTER DEB‐1440297) and the Wisconsin Alumni Research Foundation. RM was supported by the EU project SINGEK (H2020‐MSCA‐ITN‐2015‐675752) and the Spanish project ALLFLAGS (CTM2016‐75083‐R, MINECO). HPG was supported by the BMBF project BIBS (01LC1501G) given by the German Ministry of Education and Science (BMBF) and the DFG projects Microprime (GR 1540/23‐1) and APPS (GR 1540/30‐1)-
dc.description.sponsorshipWith the funding support of the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S), of the Spanish Research Agency (AEI)-
dc.languageeng-
dc.publisherAssociation for the Sciences of Limnology and Oceanography-
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/675752-
dc.relationinfo:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/CTM2016-75083-R-
dc.relation.isversionofPublisher's version-
dc.rightsopenAccess-
dc.titleLinking metagenomics to aquatic microbial ecology and biogeochemical cycles-
dc.typeartículo-
dc.identifier.doi10.1002/lno.11382-
dc.relation.publisherversionhttps://doi.org/10.1002/lno.11382-
dc.date.updated2020-02-06T08:45:30Z-
dc.rights.licensehttps://creativecommons.org/licenses/by/4.0/-
dc.contributor.funderNatural Sciences and Engineering Research Council of Canada-
dc.contributor.funderCanada Research Chairs-
dc.contributor.funderNational Science Foundation (US)-
dc.contributor.funderWisconsin Alumni Research Foundation-
dc.contributor.funderEuropean Commission-
dc.contributor.funderMinisterio de Economía y Competitividad (España)-
dc.contributor.funderFederal Ministry of Education and Research (Germany)-
dc.contributor.funderAgencia Estatal de Investigación (España)-
dc.relation.csic-
dc.identifier.funderhttp://dx.doi.org/10.13039/501100001804es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/100000001es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/100001395es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100000780es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100003329es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100000038es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100002347es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100011033es_ES
dc.type.coarhttp://purl.org/coar/resource_type/c_6501es_ES
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith Fulltext-
item.cerifentitytypePublications-
item.openairetypeartículo-
item.grantfulltextopen-
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