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七十亿个微观世界:人类微生物组内的进化

Seven Billion Microcosms: Evolution within Human Microbiomes.

作者信息

Lieberman Tami D

机构信息

Institute for Medical Engineering and Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.

Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.

出版信息

mSystems. 2018 Mar 20;3(2). doi: 10.1128/mSystems.00171-17. eCollection 2018 Mar-Apr.

Abstract

Rational microbiome-based therapies may one day treat a wide range of diseases and promote wellness. Yet, we are still limited in our abilities to employ such therapies and to predict which bacterial strains have the potential to stably colonize a person. The Lieberman laboratory is working to close this knowledge gap and to develop an understanding of how individual species and strains behave in the human microbiome, including with regard to their niche ranges, survival strategies, and the degree to which they adapt to individual people. We employ system-level approaches, with a particular emphasis on using mutations and evolutionary inference to reconstruct the history of bacterial lineages within individuals.

摘要

基于微生物群的合理疗法可能有朝一日会治疗多种疾病并促进健康。然而,我们在运用此类疗法以及预测哪些细菌菌株有可能在人体内稳定定殖的能力方面仍然有限。利伯曼实验室正在努力填补这一知识空白,并深入了解单个物种和菌株在人类微生物群中的行为方式,包括它们的生态位范围、生存策略以及它们适应个体的程度。我们采用系统层面的方法,特别强调利用突变和进化推断来重建个体内细菌谱系的历史。

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本文引用的文献

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Adaptive Evolution within Gut Microbiomes of Healthy People.健康人群肠道微生物组中的适应性进化。
Cell Host Microbe. 2019 May 8;25(5):656-667.e8. doi: 10.1016/j.chom.2019.03.007. Epub 2019 Apr 23.
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The dynamics of molecular evolution over 60,000 generations.60000代分子进化的动态过程。
Nature. 2017 Nov 2;551(7678):45-50. doi: 10.1038/nature24287. Epub 2017 Oct 18.
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The microbiome beyond the horizon of ecological and evolutionary theory.超越生态和进化理论视野的微生物组。
Nat Ecol Evol. 2017 Nov;1(11):1606-1615. doi: 10.1038/s41559-017-0340-2. Epub 2017 Oct 16.
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Revised Estimates for the Number of Human and Bacteria Cells in the Body.人体和细菌细胞数量的修订估计值。
PLoS Biol. 2016 Aug 19;14(8):e1002533. doi: 10.1371/journal.pbio.1002533. eCollection 2016 Aug.
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Can Population Genetics Adapt to Rapid Evolution?种群遗传学能否适应快速进化?
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