气候变化领域集成服务门户(CCPortal): Novel model-based clustering reveals ecologically differentiated bacterial genomes across a large climate gradient

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DOI	10.1111/ele.13389
	Novel model-based clustering reveals ecologically differentiated bacterial genomes across a large climate gradient
	Simonsen A.K.; Barrett L.G.; Thrall P.H.; Prober S.M.
发表日期	2019
ISSN	1461023X
卷号	22 期号:12
英文摘要	A pervasive challenge in microbial ecology is understanding the genetic level where ecological units can be differentiated. Ecological differentiation often occurs at fine genomic levels, yet it is unclear how to utilise ecological information to define ecotypes given the breadth of environmental variation among microbial taxa. Here, we present an analytical framework that infers clusters along genome-based microbial phylogenies according to shared environmental responses. The advantage of our approach is the ability to identify genomic clusters that best fit complex environmental information whilst characterising cluster niches through model predictions. We apply our method to determine climate-associated ecotypes in populations of nitrogen-fixing symbionts using whole genomes, explicitly sampled to detect climate differentiation across a heterogeneous landscape. Although soil and plant host characteristics strongly influence distribution patterns of inferred ecotypes, our flexible statistical method enabled us to identify climate-associated genomic clusters using environmental data, providing solid support for ecological specialisation in soil symbionts. © 2019 John Wiley & Sons Ltd/CNRS
英文关键词	Bacteria; ecological differentiation; ecotype; soil; symbiont
语种	英语
scopus关键词	Bacteria (microorganisms); bacterial genome; climate; ecotype; microbiology; phylogeny; Climate; Ecotype; Genome, Bacterial; Phylogeny; Soil Microbiology
来源期刊	Ecology Letters
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/121001
作者单位	Research School of Biology, Australian National University, Acton, ACT, Australia; Land and Water, Commonwealth Scientific and Industrial Research Organisation, Acton, ACT, Australia; Agriculture and Food, Commonwealth Scientific and Industrial Research Organisation, Acton, ACT, Australia
推荐引用方式 GB/T 7714	Simonsen A.K.,Barrett L.G.,Thrall P.H.,et al. Novel model-based clustering reveals ecologically differentiated bacterial genomes across a large climate gradient[J],2019,22(12).
APA	Simonsen A.K.,Barrett L.G.,Thrall P.H.,&Prober S.M..(2019).Novel model-based clustering reveals ecologically differentiated bacterial genomes across a large climate gradient.Ecology Letters,22(12).
MLA	Simonsen A.K.,et al."Novel model-based clustering reveals ecologically differentiated bacterial genomes across a large climate gradient".Ecology Letters 22.12(2019).