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タイトル: | Alternative stable states, nonlinear behavior, and predictability of microbiome dynamics |
著者: | Fujita, Hiroaki Ushio, Masayuki Suzuki, Kenta Abe, Masato S. Yamamichi, Masato Iwayama, Koji Canarini, Alberto Hayashi, Ibuki Fukushima, Keitaro Fukuda, Shinji Kiers, E. Toby Toju, Hirokazu |
著者名の別形: | 藤田, 博昭 潮, 雅之 鈴木, 健大 阿部, 真人 山道, 真人 岩山, 幸治 林, 息吹 福島, 慶太郎 福田, 真嗣 東樹, 宏和 |
キーワード: | Alternative stable states Biodiversity Biological communities Chaos Community collapse Community stability Dysbiosis Empirical dynamic modeling Microbiome dynamics Non-linear dynamics |
発行日: | 2023 |
出版者: | Springer Nature BMC |
誌名: | Microbiome |
巻: | 11 |
論文番号: | 63 |
抄録: | [Background] Microbiome dynamics are both crucial indicators and potential drivers of human health, agricultural output, and industrial bio-applications. However, predicting microbiome dynamics is notoriously difficult because communities often show abrupt structural changes, such as “dysbiosis” in human microbiomes. [Methods] We integrated theoretical frameworks and empirical analyses with the aim of anticipating drastic shifts of microbial communities. We monitored 48 experimental microbiomes for 110 days and observed that various community-level events, including collapse and gradual compositional changes, occurred according to a defined set of environmental conditions. We analyzed the time-series data based on statistical physics and non-linear mechanics to describe the characteristics of the microbiome dynamics and to examine the predictability of major shifts in microbial community structure. [Results] We confirmed that the abrupt community changes observed through the time-series could be described as shifts between “alternative stable states“ or dynamics around complex attractors. Furthermore, collapses of microbiome structure were successfully anticipated by means of the diagnostic threshold defined with the “energy landscape” analysis of statistical physics or that of a stability index of nonlinear mechanics. [Conclusions] The results indicate that abrupt microbiome events in complex microbial communities can be forecasted by extending classic ecological concepts to the scale of species-rich microbial systems. |
記述: | 微生物生態系の崩壊は予測できる --医療・工業・農業における微生物叢制御の基盤情報学--. 京都大学プレスリリース. 2023-03-30. |
著作権等: | © The Author(s) 2023. This 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. |
URI: | http://hdl.handle.net/2433/281532 |
DOI(出版社版): | 10.1186/s40168-023-01474-5 |
PubMed ID: | 36978146 |
関連リンク: | https://www.kyoto-u.ac.jp/ja/research-news/2023-03-30-2 |
出現コレクション: | 学術雑誌掲載論文等 |
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