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dc.contributor.author | Hayashi, Ibuki | en |
dc.contributor.author | Fujita, Hiroaki | en |
dc.contributor.author | Toju, Hirokazu | en |
dc.contributor.alternative | 林, 息吹 | ja |
dc.contributor.alternative | 藤田, 博昭 | ja |
dc.contributor.alternative | 東樹, 宏和 | ja |
dc.date.accessioned | 2024-03-01T01:48:21Z | - |
dc.date.available | 2024-03-01T01:48:21Z | - |
dc.date.issued | 2024-01 | - |
dc.identifier.uri | http://hdl.handle.net/2433/287150 | - |
dc.description | 微生物叢のゆらぎと安定性 --多種細菌群集の「代替状態」と制御可能性--. 京都大学プレスリリース. 2024-02-29. | ja |
dc.description.abstract | The structure of microbiomes is often classified into discrete or semi-discrete types potentially differing in community-scale functional profiles. Elucidating the mechanisms that generate such “alternative states” of microbiome compositions has been one of the major challenges in ecology and microbiology. In a time-series analysis of experimental microbiomes, we here show that both deterministic and stochastic ecological processes drive divergence of alternative microbiome states. We introduced species-rich soil-derived microbiomes into eight types of culture media with 48 replicates, monitoring shifts in community compositions at six time points (8 media × 48 replicates × 6 time points = 2304 community samples). We then confirmed that microbial community structure diverged into a few state types in each of the eight medium conditions as predicted in the presence of both deterministic and stochastic community processes. In other words, microbiome structure was differentiated into a small number of reproducible compositions under the same environment. This fact indicates not only the presence of selective forces leading to specific equilibria of community-scale resource use but also the influence of demographic drift (fluctuations) on the microbiome assembly. A reference-genome-based analysis further suggested that the observed alternative states differed in ecosystem-level functions. These findings will help us examine how microbiome structure and functions can be controlled by changing the “stability landscapes” of ecological community compositions. | en |
dc.language.iso | eng | - |
dc.publisher | Oxford University Press (OUP) | en |
dc.rights | © The Author(s) 2024. Published by Oxford University Press on behalf of the International Society for Microbial Ecology. | en |
dc.rights | This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. | en |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | - |
dc.subject | alternative stable states | en |
dc.subject | biodiversity | en |
dc.subject | community assembly | en |
dc.subject | dysbiosis | en |
dc.subject | enterotypes | en |
dc.subject | microbiome dynamics | en |
dc.subject | multiple stability | en |
dc.subject | transient dynamics | en |
dc.title | Deterministic and stochastic processes generating alternative states of microbiomes | en |
dc.type | journal article | - |
dc.type.niitype | Journal Article | - |
dc.identifier.jtitle | ISME Communications | en |
dc.identifier.volume | 4 | - |
dc.identifier.issue | 1 | - |
dc.relation.doi | 10.1093/ismeco/ycae007 | - |
dc.textversion | publisher | - |
dc.identifier.artnum | ycae007 | - |
dc.address | Center for Ecological Research, Kyoto University | en |
dc.address | Center for Ecological Research, Kyoto University | en |
dc.address | Center for Ecological Research, Kyoto University; Center for Living Systems Information Science (CeLiSIS), Graduate School of Biostudies, Kyoto University; Laboratory of Ecosystems and Coevolution, Graduate School of Biostudies, Kyoto University | en |
dc.identifier.pmid | 38415200 | - |
dc.relation.url | https://www.kyoto-u.ac.jp/ja/research-news/2024-02-29-0 | - |
dcterms.accessRights | open access | - |
datacite.awardNumber | 20K20586 | - |
datacite.awardNumber.uri | https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-20K20586/ | - |
dc.identifier.eissn | 2730-6151 | - |
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 |
出現コレクション: | 学術雑誌掲載論文等 |
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