Putative Signals of Generalist Plant Species Adaptation to Local Pollinator Communities and Abiotic Factors

Author:

Frachon Léa1ORCID,Arrigo Luca1,Rusman Quint1,Poveda Lucy2,Qi Weihong23ORCID,Scopece Giovanni45ORCID,Schiestl Florian P1

Affiliation:

1. Department of Systematic and Evolutionary Botany, University of Zurich , Zurich , Switzerland

2. Functional Genomics Center Zurich, ETH Zurich/University of Zurich , Zurich , Switzerland

3. SIB Swiss Institute of Bioinformatics , 1202 Geneva , Switzerland

4. Department of Biology, University of Naples Federico II, Complesso Universitario MSA , Naples , Italy

5. NBFC: National Biodiversity Future Center , Palermo 90133 , Italy

Abstract

AbstractThe reproductive success of flowering plants with generalized pollination systems is influenced by interactions with a diverse pollinator community and abiotic factors. However, knowledge about the adaptative potential of plants to complex ecological networks and the underlying genetic mechanisms is still limited. Based on a pool-sequencing approach of 21 natural populations of Brassica incana in Southern Italy, we combined a genome-environmental association analysis with a genome scan for signals of population genomic differentiation to discover genetic variants associated with the ecological variation. We identified genomic regions putatively involved in the adaptation of B. incana to the identity of local pollinator functional categories and pollinator community composition. Interestingly, we observed several shared candidate genes associated with long-tongue bees, soil texture, and temperature variation. We established a genomic map of potential generalist flowering plant local adaptation to complex biotic interactions, and the importance of considering multiple environmental factors to describe the adaptive landscape of plant populations.

Publisher

Oxford University Press (OUP)

Subject

Genetics,Molecular Biology,Ecology, Evolution, Behavior and Systematics

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