Data Entry: Please note that the research database will be replaced by UNIverse by the end of October 2023. Please enter your data into the system https://universe-intern.unibas.ch. Thanks

Login for users with Unibas email account...

Login for registered users without Unibas email account...

 
Accumulation of mutational load at the edges of a species range
JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift)
 
ID 4487449
Author(s) Willi, Yvonne; Fracassetti, Marco; Zoller, Stefan; Van Buskirk, Josh
Author(s) at UniBasel Willi, Yvonne
Fracassetti, Marco
Year 2018
Title Accumulation of mutational load at the edges of a species range
Journal Molecular biology and evolution
Volume 35
Number 4
Pages / Article-Number 781-791
Mesh terms Appalachian Region; Arabidopsis, genetics; Genetic Fitness; Genetic Variation; Genome, Plant; Great Lakes Region; Mutation Accumulation; Phenotype; Phylogeography
Abstract Why species have geographically restricted distributions is an unresolved question in ecology and evolutionary biology. Here, we test a new explanation that mutation accumulation due to small population size or a history of range expansion can contribute to restricting distributions by reducing population growth rate at the edge. We examined genomic diversity and mutational load across the entire geographic range of the North American plant Arabidopsis lyrata, including old, isolated populations predominantly at the southern edge and regions of postglacial range expansion at the northern and southern edges. Genomic diversity in intergenic regions declined toward distribution edges and signatures of mutational load in exon regions increased. Genomic signatures of mutational load were highly linked to phenotypically expressed load, measured as reduced performance of individual plants and lower estimated rate of population growth. The geographic pattern of load and the connection between load and population growth demonstrate that mutation accumulation reduces fitness at the edge and helps restrict species’ distributions.
Publisher Oxford University Press
ISSN/ISBN 0737-4038 ; 1537-1719
edoc-URL https://edoc.unibas.ch/66778/
Full Text on edoc No
Digital Object Identifier DOI 10.1093/molbev/msy003
PubMed ID http://www.ncbi.nlm.nih.gov/pubmed/29346601
ISI-Number WOS:000431889000001
Document type (ISI) Journal Article
 
   

MCSS v5.8 PRO. 0.322 sec, queries - 0.000 sec ©Universität Basel  |  Impressum   |    
14/05/2024