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dc.contributor.authorYajima, Daiien
dc.contributor.authorFujita, Hiroakien
dc.contributor.authorHayashi, Ibukien
dc.contributor.authorShima, Gentaen
dc.contributor.authorSuzuki, Kentaen
dc.contributor.authorToju, Hirokazuen
dc.contributor.alternative矢島, 大意ja
dc.contributor.alternative藤田, 博昭ja
dc.contributor.alternative林, 息吹ja
dc.contributor.alternative島, 玄太ja
dc.contributor.alternative鈴木, 健大ja
dc.contributor.alternative東樹, 宏和ja
dc.date.accessioned2023-03-31T07:31:34Z-
dc.date.available2023-03-31T07:31:34Z-
dc.date.issued2023-
dc.identifier.urihttp://hdl.handle.net/2433/281533-
dc.description魚の健康において鍵となる「コア微生物叢」 --ウナギ養殖水槽内の細菌叢動態--. 京都大学プレスリリース. 2023-03-30.ja
dc.description.abstract[Background] In aquatic ecosystems, the health and performance of fish depend greatly on the dynamics of microbial community structure in the background environment. Nonetheless, finding microbes with profound impacts on fish’s performance out of thousands of candidate species remains a major challenge. [Methods] We examined whether time-series analyses of microbial population dynamics could illuminate core components and structure of fish-associated microbiomes in the background (environmental) water. By targeting eel-aquaculture-tank microbiomes as model systems, we reconstructed the population dynamics of the 9605 bacterial and 303 archaeal species/strains across 128 days. [Results] Due to the remarkable increase/decrease of constituent microbial population densities, the taxonomic compositions of the microbiome changed drastically through time. We then found that some specific microbial taxa showed a positive relationship with eels’ activity levels even after excluding confounding effects of environmental parameters (pH and dissolved oxygen level) on population dynamics. In particular, a vitamin-B12-producing bacteria, Cetobacterium somerae, consistently showed strong positive associations with eels’ activity levels across the replicate time series of the five aquaculture tanks analyzed. Network theoretical and metabolic modeling analyses further suggested that the highlighted bacterium and some other closely-associated bacteria formed “core microbiomes” with potentially positive impacts on eels. [Conclusions] Overall, these results suggest that the integration of microbiology, ecological theory, and network science allows us to explore core species and interactions embedded within complex dynamics of fish-associated microbiomes.en
dc.language.isoeng-
dc.publisherSpringer Natureen
dc.publisherBMCen
dc.rights© The Author(s) 2023.en
dc.rightsThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/-
dc.subjectAlternative stable statesen
dc.subjectBiodiversityen
dc.subjectBiological communitiesen
dc.subjectCommunity collapseen
dc.subjectCommunity stabilityen
dc.subjectEdwardsiellaen
dc.subjectDysbiosisen
dc.subjectKeystone speciesen
dc.subjectMicrobiome dynamicsen
dc.subjectNonlinear dynamicsen
dc.titleCore species and interactions prominent in fish-associated microbiome dynamicsen
dc.typejournal article-
dc.type.niitypeJournal Article-
dc.identifier.jtitleMicrobiomeen
dc.identifier.volume11-
dc.relation.doi10.1186/s40168-023-01498-x-
dc.textversionpublisher-
dc.identifier.artnum53-
dc.addressCenter for Ecological Research, Kyoto Universityen
dc.addressCenter for Ecological Research, Kyoto Universityen
dc.addressCenter for Ecological Research, Kyoto Universityen
dc.addressCenter for Ecological Research, Kyoto Universityen
dc.addressIntegrated Bioresource Information Division, BioResource Research Center, RIKENen
dc.addressCenter for Ecological Research, Kyoto Universityen
dc.identifier.pmid36941627-
dc.relation.urlhttps://www.kyoto-u.ac.jp/ja/research-news/2023-03-30-3-
dcterms.accessRightsopen access-
datacite.awardNumber20K20586-
datacite.awardNumber20K06820-
datacite.awardNumber20H03010-
datacite.awardNumber.urihttps://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-20K20586/-
datacite.awardNumber.urihttps://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-20K06820/-
datacite.awardNumber.urihttps://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-20H03010/-
dc.identifier.eissn2049-2618-
jpcoar.funderName日本学術振興会ja
jpcoar.funderName日本学術振興会ja
jpcoar.funderName日本学術振興会ja
jpcoar.awardTitle微生物群集10000実験による多種生命システムの動態予測と制御ja
jpcoar.awardTitleエネルギーランドスケープを利用した生物群集大規模変動の前兆検知ja
jpcoar.awardTitle広域環境変動下での生物群集レジリエンス評価・予測に関する研究ja
出現コレクション:学術雑誌掲載論文等

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