Phylogenetically‐conserved candidate genes unify biodiversity–ecosystem function relationships and eco‐evolutionary dynamics across biological scales

Author:

Blanchet Simon1ORCID,Fargeot Laura1,Raffard Allan2

Affiliation:

1. Centre National de la Recherche Scientifique (CNRS), Station d'Écologie Théorique et Expérimentale du CNRS à Moulis, UAR2029 Moulis France

2. Univ. Savoie Mont Blanc, INRAE, CARRTEL Thonon‐les‐Bains France

Abstract

AbstractThe intra‐ and interspecific facets of biodiversity have traditionally been analysed separately, limiting our understanding of how evolution has shaped biodiversity, how biodiversity (as a whole) alters ecological dynamics and hence eco‐evolutionary feedbacks at the community scale. Here, we propose using candidate genes phylogenetically‐conserved across species and sustaining functional traits as an inclusive biodiversity unit transcending the intra‐ and interspecific boundaries. This framework merges knowledge from functional genomics and functional ecology, and we first provide guidelines and a concrete example for identifying phylogenetically‐conserved candidate genes (PCCGs) within communities and for measuring biodiversity from PCCGs. We then explain how biodiversity measured at PCCGs can be linked to ecosystem functions, which unifies recent observations that both intra‐ and interspecific biodiversity are important for ecosystem functions. We then highlight the eco‐evolutionary processes shaping PCCG diversity patterns and argue that their respective role can be inferred from concepts derived from population genetics. Finally, we explain how PCCGs may shift the field of eco‐evolutionary dynamics from a focal‐species approach to a more realistic focal‐community approach. This framework provides a novel perspective to investigate the global ecosystem consequences of diversity loss across biological scales, and how these ecological changes further alter biodiversity evolution.

Funder

Agence Nationale de la Recherche

Publisher

Wiley

Subject

Genetics,Ecology, Evolution, Behavior and Systematics

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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