Universität zu Köln

Dittberner, Hannes, Tellier, Aurelien and de Meaux, Juliette ORCID: 0000-0002-2942-4750 (2022). Approximate Bayesian Computation Untangles Signatures of Contemporary and Historical Hybridization between Two Endangered Species. Mol. Biol. Evol., 39 (2). OXFORD: OXFORD UNIV PRESS. ISSN 1537-1719

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Abstract

Contemporary gene flow, when resumed after a period of isolation, can have crucial consequences for endangered species, as it can both increase the supply of adaptive alleles and erode local adaptation. Determining the history of gene flow and thus the importance of contemporary hybridization, however, is notoriously difficult. Here, we focus on two endangered plant species, Arabis nemorensis and A. sagittata, which hybridize naturally in a sympatric population located on the banks of the Rhine. Using reduced genome sequencing, we determined the phylogeography of the two taxa but report only a unique sympatric population. Molecular variation in chloroplast DNA indicated that A. sagittata is the principal receiver of gene flow. Applying classical D-statistics and its derivatives to whole-genome data of 35 accessions, we detect gene flow not only in the sympatric population but also among allopatric populations. Using an Approximate Bayesian computation approach, we identify the model that best describes the history of gene flow between these taxa. This model shows that low levels of gene flow have persisted long after speciation. Around 10 000 years ago, gene flow stopped and a period of complete isolation began. Eventually, a hotspot of contemporary hybridization was formed in the unique sympatric population. Occasional sympatry may have helped protect these lineages from extinction in spite of their extremely low diversity.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Dittberner, Hannes UNSPECIFIED UNSPECIFIED UNSPECIFIED Tellier, Aurelien UNSPECIFIED UNSPECIFIED UNSPECIFIED de Meaux, Juliette UNSPECIFIED orcid.org/0000-0002-2942-4750 UNSPECIFIED
URN:	urn:nbn:de:hbz:38-666537
DOI:	10.1093/molbev/msac015
Journal or Publication Title:	Mol. Biol. Evol.
Volume:	39
Number:	2
Date:	2022
Publisher:	OXFORD UNIV PRESS
Place of Publication:	OXFORD
ISSN:	1537-1719
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language VARIANT CALL FORMAT; GENE FLOW; HYBRID SPECIATION; GENOMIC LANDSCAPE; LOCAL ADAPTATION; TOOL SET; INTROGRESSION; EVOLUTIONARY; POLYMORPHISM; DISCOVERY Multiple languages Biochemistry & Molecular Biology; Evolutionary Biology; Genetics & Heredity Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/66653