Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1111/ele.13389 |
Novel model-based clustering reveals ecologically differentiated bacterial genomes across a large climate gradient | |
Simonsen, Anna K.1,2; Barrett, Luke G.3; Thrall, Peter H.3; Prober, Suzanne M.2 | |
2019-10-14 | |
发表期刊 | ECOLOGY LETTERS |
ISSN | 1461-023X |
EISSN | 1461-0248 |
出版年 | 2019 |
文章类型 | Article;Early Access |
语种 | 英语 |
国家 | Australia |
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. |
英文关键词 | Bacteria ecological differentiation ecotype soil symbiont |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000489855900001 |
WOS关键词 | POPULATION GENOMICS ; LOCAL ADAPTATION ; DIVERSITY ; PATTERNS ; ECOLOGY ; INOCULATION ; SELECTION ; TESTS |
WOS类目 | Ecology |
WOS研究方向 | Environmental Sciences & Ecology |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/187635 |
专题 | 资源环境科学 |
作者单位 | 1.Australian Natl Univ, Res Sch Biol, Acton, ACT, Australia; 2.CSIRO, Land & Water, Acton, ACT, Australia; 3.CSIRO, Agr & Food, Acton, ACT, Australia |
推荐引用方式 GB/T 7714 | Simonsen, Anna K.,Barrett, Luke G.,Thrall, Peter H.,et al. Novel model-based clustering reveals ecologically differentiated bacterial genomes across a large climate gradient[J]. ECOLOGY LETTERS,2019. |
APA | Simonsen, Anna K.,Barrett, Luke G.,Thrall, Peter H.,&Prober, Suzanne M..(2019).Novel model-based clustering reveals ecologically differentiated bacterial genomes across a large climate gradient.ECOLOGY LETTERS. |
MLA | Simonsen, Anna K.,et al."Novel model-based clustering reveals ecologically differentiated bacterial genomes across a large climate gradient".ECOLOGY LETTERS (2019). |
条目包含的文件 | 条目无相关文件。 |
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