The Trait Repertoire Enabling Cyanobacteria to Bloom Assessed through Comparative Genomic Complexity and Metatranscriptomics

Author:

Cao Huansheng12ORCID,Shimura Yohei3,Steffen Morgan M.4,Yang Zhou5,Lu Jingrang6,Joel Allen6,Jenkins Landon2,Kawachi Masanobu3,Yin Yanbin17ORCID,Garcia-Pichel Ferran2

Affiliation:

1. Department of Biological Sciences, Northern Illinois University, DeKalb, Illinois, USA

2. Biodesign Center for Fundamental and Applied Microbiomics, Arizona State University, Tempe, Arizona, USA

3. National Institute for Environmental Studies, Tsukuba, Ibaraki, Japan

4. Biology Department, James Madison University, Harrisonburg, Harrisonburg, Virginia, USA

5. Jiangsu Key Laboratory for Biodiversity and Biotechnology, School of Biological Sciences, Nanjing Normal University, Nanjing, Jiangsu, China

6. U.S. Environmental Protection Agency Office of Research and Development, Cincinnati, Ohio, USA

7. Nebraska Food for Health Center, Department of Food Science and Technology, University of Nebraska-Lincoln, Lincoln, Nebraska, USA

Abstract

We pragmatically delineate the trait repertoire that enables organismal niche specialization. We based our approach on the tenet, derived from evolutionary and complex-system considerations, that genomic units that can significantly contribute to fitness in a certain habitat will be comparatively more complex in organisms specialized to that habitat than their genomic homologs found in organisms from other habitats. We tested this in cyanobacteria forming harmful water blooms, for which decades-long efforts in ecological physiology and genomics exist. Our results essentially confirm that genomics and ecology can be linked through comparative complexity analyses, providing a tool that should be of general applicability for any group of organisms and any habitat, and enabling the posing of grounded hypotheses regarding the ecogenomic basis for diversification.

Funder

National Natural Science Foundation of China

Publisher

American Society for Microbiology

Subject

Virology,Microbiology

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