Keystone taxa predict compositional change in microbial communities

Herren Cristina M.; McMahon Katherine D.

摘要

Summary >The influence of biotic interactions on microbial community assembly is intensely debated. We hypothesized that keystone taxa, which influence community assembly through strong biotic interactions, are important for regulating microbial community composition. While highly connected microbes have been identified, evidence that these taxa act as keystones is lacking, because keystone status requires influence on whole‐community dynamics. We address this gap, showing that small subsets of highly connected keystone taxa (generally 1%–5% of richness) can be optimal predictors of whole‐community compositional change. In three long‐term data sets, greater connectivity due to the presence of keystone taxa corresponded to lower compositional turnover. We further hypothesized that the influence of keystone taxa would be diminished when environmental disturbance was a strong driver of compositional change. We used two case studies of reference and disturbed communities to investigate how biotic and abiotic forces interact to shape community composition. Most of the same taxa were present in both the reference and disturbed communities, but keystone taxa had much greater explanatory power in the reference communities. Our results suggest that greater biotic connectivity arising from the presence of keystone taxa is stabilizing to community composition, and that keystone taxa can be good indicators of pending community shifts. </abstract> </span> <span class="z_kbtn z_kbtnclass hoverxs" style="display: none;">展开▼</span> </div> <div class="translation abstracttxt"> <span class="zhankaihshouqi fivelineshidden" id="abstract"> <span>机译：</span><abstract xmlns =“http://www.wiley.com/namespaces/wiley”type =“main”xml：lang =“en”> <title type =“main”>摘要</ title> >影响微生物社区组装的生物相互作用是强烈的辩论。我们假设通过强烈的生物相互作用影响社区组装的梯形群征征对调节微生物群落组成很重要。虽然已经确定了高度连接的微生物，但证明这些分类群充当关键的声音是缺乏的，因为梯形状态需要对全社区动态的影响。我们解决了这个差距，显示了高度连接的梯形分类群的小型子集（通常为1％-5％的丰富度）可以是全社区组成变化的最佳预测因子。在三种长期数据集中，由于梯形赛群的存在，更大的连接性与较低的组成周转。我们进一步假设了当环境干扰是组成变化强大的驱动力时，梯形赛群的影响将减少。我们使用了两种参考和干扰社区的案例研究，以研究生物和非生物力如何与形状群落组成相互作用。大多数相同的分类群在参考和干扰的社区中都存在，但Keystone Catha在参考社区中具有更大的解释力。我们的研究结果表明，由于梯形赛群的存在而产生的更大的生物连接稳定于社区组成，并且梯形赛斯通纳纳可能是待遇社区转变的良好指标。</ p> </摘要> </span> <span class="z_kbtn z_kbtnclass hoverxs" style="display: none;">展开▼</span> </div> </div> <div class="record"> <h2 class="all_title" id="enpatent33" > 著录项</h2> <ul> <li> <span class="lefttit">来源</span> <div style="width: 86%;vertical-align: text-top;display: inline-block;"> <a href='/journal-foreign-22868/'>《Environmental microbiology 》</a> <b style="margin: 0 2px;">|</b><span>2018年第6期</span><b style="margin: 0 2px;">|</b> <span>共11页</span> </div> </li> <li> <div class="author"> <span class="lefttit">作者</span> <p id="fAuthorthree" class="threelineshidden zhankaihshouqi"> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Herren Cristina M.&option=202" target="_blank" rel="nofollow">Herren Cristina M.;</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=McMahon Katherine D.&option=202" target="_blank" rel="nofollow">McMahon Katherine D.;</a> </p> <span class="z_kbtnclass z_kbtnclassall hoverxs" id="zkzz" style="display: none;">展开▼</span> </div> </li> <li> <div style="display: flex;"> <span class="lefttit">作者单位</span> <div style="position: relative;margin-left: 3px;max-width: 639px;"> <div class="threelineshidden zhankaihshouqi" id="fOrgthree"> <p>Freshwater and Marine Sciences ProgramUniversity of Wisconsin ‐ MadisonMadison Wisconsin USA;</p> <p>Department of Bacteriology and Civil and Environmental EngineeringUniversity of Wisconsin ‐ MadisonMadison Wisconsin USA;</p> </div> <span class="z_kbtnclass z_kbtnclassall hoverxs" id="zhdw" style="display: none;">展开▼</span> </div> </div> </li> <li> <span class="lefttit">收录信息</span> <span style="width: 86%;vertical-align: text-top;display: inline-block;"></span> </li> <li> <span class="lefttit">原文格式</span> <span>PDF</span> </li> <li> <span class="lefttit">正文语种</span> <span>eng</span> </li> <li> <span class="lefttit">中图分类</span> <span> <a href="https://www.zhangqiaokeyan.com/clc/183.html" title="微生物学">微生物学 ;</a></span> </li> <li class="antistop"> <span class="lefttit">关键词</span> <p style="width: 86%;vertical-align: text-top;"> </p> </li> </ul> </div> </div> <div class="literature cardcommon"> <div class="similarity "> <h3 class="all_title" id="enpatent66">相似文献</h3> <div class="similaritytab clearfix"> <ul> <li class="active" >外文文献</li> <li >中文文献</li> <li >专利</li> </ul> </div> <div class="similarity_details"> <ul > <li> <div> <b>1. </b><a class="enjiyixqcontent" href="/journal-foreign-detail/0704023229443.html">Keystone taxa predict compositional change in microbial communities</a> <b>[J]</b> . <span> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Herren Cristina M.&option=202" target="_blank" rel="nofollow" class="tuijian_auth tuijian_authcolor">Herren Cristina M.,</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=McMahon Katherine D.&option=202" target="_blank" rel="nofollow" class="tuijian_auth tuijian_authcolor">McMahon Katherine D. </a> <a href="/journal-foreign-22868/" target="_blank" rel="nofollow" class="tuijian_authcolor">Environmental microbiology .</a> <span>2018</span> <span>,第6期</span> </span> </div> <p class="zwjiyix translation" style="max-width: initial;height: auto;word-break: break-all;white-space: initial;text-overflow: initial;overflow: initial;"> <span>机译：Keystone Catha预测微生物社区的组成变化</span> </p> </li> <li> <div> <b>2. </b><a class="enjiyixqcontent" href="/journal-foreign-detail/0704023257792.html">Organic and inorganic amendments did not affect microbial community composition in the bulk soil differently but did change the relative abundance of selected taxa</a> <b>[J]</b> . <span> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Celestina Corinne&option=202" target="_blank" rel="nofollow" class="tuijian_auth tuijian_authcolor">Celestina Corinne,</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Sale Peter W. 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