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Predicting bacterial community assemblages using an artificial neural network approach.使用人工神经网络方法预测细菌群落组合。
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Population genomics of early events in the ecological differentiation of bacteria.细菌生态分化早期事件的种群基因组学。
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Ecology drives a global network of gene exchange connecting the human microbiome.生态学驱动着连接人类微生物组的全球基因交换网络。
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Merging taxonomy with ecological population prediction in a case study of Vibrionaceae.将分类学与生态种群预测相结合的案例研究——以弧菌科为例。
Appl Environ Microbiol. 2011 Oct;77(20):7195-206. doi: 10.1128/AEM.00665-11. Epub 2011 Aug 26.
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Defining seasonal marine microbial community dynamics.定义季节性海洋微生物群落动态。
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MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods.MEGA5:用于最大似然法、进化距离法和最大简约法的分子进化遗传学分析。
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Local mobile gene pools rapidly cross species boundaries to create endemicity within global Vibrio cholerae populations.当地移动基因库迅速跨越物种界限,在全球霍乱弧菌种群中形成地方性。
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9
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Combined niche and neutral effects in a microbial wastewater treatment community.微生物废水处理群落中的小生境和中性效应的综合作用。
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沿海浮游细菌中弧菌类群结构的可再现性。

Reproducibility of Vibrionaceae population structure in coastal bacterioplankton.

机构信息

Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA 02140, USA.

出版信息

ISME J. 2013 Mar;7(3):509-19. doi: 10.1038/ismej.2012.134. Epub 2012 Nov 22.

DOI:10.1038/ismej.2012.134
PMID:23178668
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3578574/
Abstract

How reproducibly microbial populations assemble in the wild remains poorly understood. Here, we assess evidence for ecological specialization and predictability of fine-scale population structure and habitat association in coastal ocean Vibrionaceae across years. We compare Vibrionaceae lifestyles in the bacterioplankton (combinations of free-living, particle, or zooplankton associations) measured using the same sampling scheme in 2006 and 2009 to assess whether the same groups show the same environmental association year after year. This reveals complex dynamics with populations falling primarily into two categories: (i) nearly equally represented in each of the two samplings and (ii) highly skewed, often to an extent that they appear exclusive to one or the other sampling times. Importantly, populations recovered at the same abundance in both samplings occupied highly similar habitats suggesting predictable and robust environmental association while skewed abundances of some populations may be triggered by shifts in ecological conditions. The latter is supported by difference in the composition of large eukaryotic plankton between years, with samples in 2006 being dominated by copepods, and those in 2009 by diatoms. Overall, the comparison supports highly predictable population-habitat linkage but highlights the fact that complex, and often unmeasured, environmental dynamics in habitat occurrence may have strong effects on population dynamics.

摘要

微生物群体在野外是如何重现组装的,这一点仍知之甚少。在这里,我们评估了沿海海洋弧菌科在多年时间内的生态特化和精细种群结构及栖息地关联的可预测性的证据。我们比较了 2006 年和 2009 年使用相同采样方案测量的浮游细菌(自由生活、颗粒或浮游动物组合)中弧菌科的生活方式,以评估相同的群体是否每年都具有相同的环境关联。这揭示了复杂的动态,种群主要分为两类:(i)在两次采样中几乎均等分布,(ii)高度偏斜,通常达到它们似乎仅出现在一次采样的程度。重要的是,在两次采样中以相同丰度回收的种群占据高度相似的栖息地,表明可预测和稳健的环境关联,而一些种群丰度的偏斜可能是由生态条件的变化引发的。这一点得到了多年来大型真核浮游生物组成差异的支持,2006 年的样本以桡足类为主,而 2009 年的样本以硅藻为主。总体而言,该比较支持高度可预测的种群-栖息地联系,但强调了这样一个事实,即栖息地出现的复杂且通常无法测量的环境动态可能对种群动态产生强烈影响。