Resource Partitioning and Sympatric Differentiation Among Closely Related Bacterioplankton

Author:

Hunt Dana E.12345,David Lawrence A.12345,Gevers Dirk12345,Preheim Sarah P.12345,Alm Eric J.12345,Polz Martin F.12345

Affiliation:

1. Department of Civil and Environmental Engineering, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA.

2. Computational and Systems Biology Initiative, MIT, Cambridge, MA 02139, USA.

3. Laboratory of Microbiology, Ghent University, Gent 9000, Belgium.

4. Bioinformatics and Evolutionary Genomics Group, Ghent University, Gent 9000, Belgium.

5. Department of Biological Engineering, MIT, Cambridge, MA 02139, USA, and Broad Instilate of MIT and Harvard University, Cambridge, MA 02139, USA.

Abstract

Identifying ecologically differentiated populations within complex microbial communities remains challenging, yet is critical for interpreting the evolution and ecology of microbes in the wild. Here we describe spatial and temporal resource partitioning among Vibrionaceae strains coexisting in coastal bacterioplankton. A quantitative model (AdaptML) establishes the evolutionary history of ecological differentiation, thus revealing populations specific for seasons and life-styles (combinations of free-living, particle, or zooplankton associations). These ecological population boundaries frequently occur at deep phylogenetic levels (consistent with named species); however, recent and perhaps ongoing adaptive radiation is evident in Vibrio splendidus , which comprises numerous ecologically distinct populations at different levels of phylogenetic differentiation. Thus, environmental specialization may be an important correlate or even trigger of speciation among sympatric microbes.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3