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Akshit Goyal<\/span> <\/span>| \u4f5c\u8005<\/strong><\/span><\/p>\n

\u90ed\u745e\u4e1c<\/span> <\/span>| <\/strong><\/span>\u8bd1\u8005<\/strong><\/span><\/p>\n

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Complexity\u2013stability trade-off in empirical microbial ecosystems<\/span><\/p>\n

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Yonatan\u7b49\u4eba[2]\u91c7\u53d6\u4e86\u4e00\u79cd\u4e0d\u540c\u7684\u3001\u76f8\u5f53\u6709\u521b\u610f\u7684\u8ba1\u7b97\u65b9\u6cd5\uff0c\u5728\u4ee5\u524d\u7684\u65b9\u6cd5\u57fa\u7840\u4e0a\u5206\u6790\u4e86\u751f\u6001\u7cfb\u7edf\u7684\u52a8\u529b\u5b66[7]\u3002\u8be5\u65b9\u6cd5\u5e76\u6ca1\u6709\u76f4\u63a5\u6d4b\u91cf\u751f\u7269\u4e4b\u95f4\u7684\u4e92\u52a8\u5173\u7cfb\uff0c\u800c\u662f\u8bd5\u56fe\u901a\u8fc7\u5bf9\u6bd4\u8bb8\u591a\u751f\u6001\u7cfb\u7edf\u7684\u5256\u9762<\/strong><\/span>\uff08snapshot\uff09<\/span>\uff0c\u8ba1\u7b97\u751f\u6001\u7cfb\u7edf\u7684\u5e73\u5747\u590d\u6742\u5ea6<\/strong>\u3002\u8fd9\u7c7b\u4f3c\u4e8e\u6bd4\u8f83\u5de8\u5927\u68ee\u6797\u4e2d\u7684\u4e24\u7247\u533a\u57df\u3002<\/span><\/section>\n
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\u8bba\u6587 Abstract<\/strong><\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n

May\u2019s stability theory, which holds that large ecosystems can be stable  up to a critical level of complexity, a product of the number of  resident species and the intensity of their interactions, has been a  central paradigm in theoretical ecology. So far, however, empirically  demonstrating this theory in real ecological systems has been a  long-standing challenge with inconsistent results. Especially, it is  unknown whether this theory is pertinent in the rich and complex  communities of natural microbiomes, mainly due to the challenge of  reliably reconstructing such large ecological interaction networks. Here  we introduce a computational framework for estimating an ecosystem\u2019s  complexity without relying on a priori knowledge of its underlying  interaction network. By applying this method to human-associated  microbial communities from different body sites and sponge-associated  microbial communities from different geographical locations, we found  that in both cases the communities display a pronounced trade-off between the number of species and their effective connectance. These results suggest that natural microbiomes are shaped by stability constraints, which limit their complexity.<\/span><\/section>\n

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\u53c2\u8003\u6587\u732e<\/span><\/strong><\/span><\/section>\n<\/h2>\n
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  1. \n
    May, R. M. Will a large complex system be stable? Nature238, 413\u2013414 (1972).<\/span><\/section>\n<\/li>\n
  2. \n
    Yonatan, Y., Amit, G., Friedman, J. et al. Complexity\u2013stability trade-off in empirical microbial ecosystems.Nat Ecol Evol  (2022).<\/span><\/section>\n<\/li>\n
  3. \n
    Yodzis, P. The stability of real ecosystems. Nature289, 674\u2013676 (1981).<\/span><\/section>\n<\/li>\n
  4. \n
    Winemiller, K. O. Must connectance decrease with species richness? Am. Naturalist134, 960\u2013968 (1989).<\/span><\/section>\n<\/li>\n
  5. \n
    James, A. et al. Constructing random matrices to represent real ecosystems. Am. Nat.185, 680\u2013692 (2015).<\/span><\/section>\n<\/li>\n
  6. \n
    Schmid-Araya, J. M. et al. Connectance in stream food webs. J. Anim. Ecol.71, 1056\u20131062 (2002).<\/span><\/section>\n<\/li>\n
  7. \n
    Bashan, A. et al. Universality of human microbial dynamics. Nature534, 259\u2013262 (2016).<\/span><\/section>\n<\/li>\n
  8. \n
    Huttenhower, C. et al. Structure, function and diversity of the healthy human microbiome. Nature486, 207 (2012).<\/span><\/section>\n<\/li>\n
  9. \n
    Moitinho-Silva, L. et al. The sponge microbiome project. Gigascience6, gix077 (2017).<\/span><\/section>\n<\/li>\n
  10. \n
    Dunne, Jennifer A., Richard J. Williams, and Neo D. Martinez. “Food-web  structure and network theory: the role of connectance and size.” Proceedings of the National Academy of Sciences 99.20,12917-12922 (2002).<\/span><\/section>\n<\/li>\n
  11. \n
    Grilli, J., Barab\u00e1s, G., Michalska-Smith, M. J. & Allesina, S.  Higher-order interactions stabilize dynamics in competitive network  models. Nature548, 210\u2013213 (2017).<\/span><\/section>\n<\/li>\n<\/ol>\n
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    \u672c\u6587\u7ffb\u8bd1\u81ea  Nature Ecology & Evolution<\/em><\/span><\/section>\n
    \u539f\u6587\u9898\u76ee\uff1aHow diverse ecosystems remain stable<\/span><\/section>\n
    \u539f\u6587\u94fe\u63a5\uff1ahttps:\/\/www.nature.com\/articles\/s41559-022-01758-3<\/span><\/section>\n<\/section>\n<\/section>\n<\/blockquote>\n

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    \u96c6\u667a\u6591\u56fe\u9876\u520a\u8bba\u6587\u901f\u9012\u680f\u76ee\u4e0a\u7ebf\u4ee5\u6765\uff0c\u6301\u7eed\u6536\u5f55\u6765\u81eaNature\u3001Science<\/span>\u7b49\u9876\u520a\u7684\u6700\u65b0\u8bba\u6587\uff0c\u8ffd\u8e2a\u590d\u6742\u7cfb\u7edf\u3001\u7f51\u7edc\u79d1\u5b66\u3001\u8ba1\u7b97\u793e\u4f1a\u79d1\u5b66\u7b49\u9886\u57df\u7684\u524d\u6cbf\u8fdb\u5c55\u3002\u73b0\u5728\u6b63\u5f0f\u63a8\u51fa\u8ba2\u9605\u529f\u80fd\uff0c\u6bcf\u5468\u901a\u8fc7\u5fae\u4fe1\u670d\u52a1\u53f7\u300c\u96c6\u667a\u6591\u56fe\u300d\u63a8\u9001\u8bba\u6587\u4fe1\u606f\u3002\u626b\u63cf\u4e0b\u65b9\u4e8c\u7ef4\u7801\u5373\u53ef\u4e00\u952e\u8ba2\u9605\uff1a<\/span>
    <\/p>\n

    <\/p>\n

    \n


    <\/p>\n


    <\/p>\n<\/section>\n

    \n

    \u63a8\u8350\u9605\u8bfb<\/span><\/strong><\/strong><\/p>\n