Macroecological laws describe variation and diversity in microbial communities.
Macroecological laws describe variation and diversity in microbial communities.
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DOI：
10.1038/s41467-020-18529-y
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发表时间：
2020-09-21
影响因子：
16.6
通讯作者：
Grilli J
中科院分区：
文献类型：
--
作者：
Grilli J
如何维持许多物种的共存是生态学中一个基本且尚未解决的问题。共存是一个难题，因为我们缺乏对物种存在和丰度变化的机械理解。生态群落的变化是由确定性过程还是随机过程驱动的，是生态学中最具争议的问题之一。在这里，我从宏观生态学的角度研究微生物群落中物种存在和丰度的变化。我确定了三个宏观生态定律，它们定量地描述了物种丰富度在不同社区和时间上的波动。利用这三个定律，人们可以预测物种的存在和不存在、多样性以及普遍研究的宏观生态模式。我展示了基于环境随机性的数学模型，即随机 Logistic 模型，可以定量预测三个宏观生态规律以及群落动态的非平稳特性。微生物的相互作用方式与宏观生物体不同，但它们的相互作用仍然可以构成更广泛的宏观生态模式（例如物种丰度分布）的基础。在这里，作者表明，可以在生物群落类型内部和跨生物群落类型的微生物中发现三种一般生态模式。
How the coexistence of many species is maintained is a fundamental and unresolved question in ecology. Coexistence is a puzzle because we lack a mechanistic understanding of the variation in species presence and abundance. Whether variation in ecological communities is driven by deterministic or random processes is one of the most controversial issues in ecology. Here, I study the variation of species presence and abundance in microbial communities from a macroecological standpoint. I identify three macroecological laws that quantitatively characterize the fluctuation of species abundance across communities and over time. Using these three laws, one can predict species’ presence and absence, diversity, and commonly studied macroecological patterns. I show that a mathematical model based on environmental stochasticity, the stochastic logistic model, quantitatively predicts the three macroecological laws, as well as non-stationary properties of community dynamics. Microbes interact in different ways than macro-organisms, but their interactions can still form the basis for broader macroecological patterns like the Species Abundance Distribution. Here, the author shows that thre general ecological patterns can be found in microbes, within and across biome types.
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影响因子：
4.8
作者：
Fisher, RA;Corbet, AS;Williams, CB
通讯作者：
Williams, CB
影响因子：
64.8
作者：
Arumugam, Manimozhiyan;Raes, Jeroen;Pelletier, Eric;Le Paslier, Denis;Yamada, Takuji;Mende, Daniel R.;Fernandes, Gabriel R.;Tap, Julien;Bruls, Thomas;Batto, Jean-Michel;Bertalan, Marcelo;Borruel, Natalia;Casellas, Francesc;Fernandez, Leyden;Gautier, Laurent;Hansen, Torben;Hattori, Masahira;Hayashi, Tetsuya;Kleerebezem, Michiel;Kurokawa, Ken;Leclerc, Marion;Levenez, Florence;Manichanh, Chaysavanh;Nielsen, H. Bjorn;Nielsen, Trine;Pons, Nicolas;Poulain, Julie;Qin, Junjie;Sicheritz-Ponten, Thomas;Tims, Sebastian;Torrents, David;Ugarte, Edgardo;Zoetendal, Erwin G.;Wang, Jun;Guarner, Francisco;Pedersen, Oluf;de Vos, Willem M.;Brunak, Soren;Dore, Joel;Weissenbach, Jean;Ehrlich, S. Dusko;Bork, Peer
通讯作者：
Bork, Peer
影响因子：
4.3
作者：
Faust K;Sathirapongsasuti JF;Izard J;Segata N;Gevers D;Raes J;Huttenhower C
通讯作者：
Huttenhower C
影响因子：
64.8
作者：
Crowther, T. W.;Glick, H. B.;Bradford, M. A.
通讯作者：
Bradford, M. A.
影响因子：
44.1
作者：
Azaele, Sandro;Suweis, Samir;Maritan, Amos
通讯作者：
Maritan, Amos