Evidence map›Paper›PMID 28637425›Full record

ArticleBMC evolutionary biology2017

The colonization and divergence patterns of Brandt's vole (Lasiopodomys brandtii) populations reveal evidence of genetic surfing.

Ke Li, Michael H Kohn, Songmei Zhang, Xinrong Wan, Dazhao Shi, Deng Wang

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Article in BMC evolutionary biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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7citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Ke LiCollege of Plant Protection, China Agricultural University, 2 Yuanmingyuan West Road, Haidian District, Beijing, 100193, China.
Michael H KohnInstitute of Biosciences and Bioengineering, Rice University, 130 Anderson Biology, P.O. Box 1892, Houston, 77251-1892, USA.
Songmei ZhangCollege of Plant Protection, China Agricultural University, 2 Yuanmingyuan West Road, Haidian District, Beijing, 100193, China.
Xinrong WanState Key Laboratory for Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, 1 Beichen West Road, Chaoyang District, Beijing, 100101, China.
Dazhao ShiCollege of Plant Protection, China Agricultural University, 2 Yuanmingyuan West Road, Haidian District, Beijing, 100193, China.
Deng WangCollege of Plant Protection, China Agricultural University, 2 Yuanmingyuan West Road, Haidian District, Beijing, 100193, China. wangdeng@cau.edu.cn.ORCID 0000-0002-9270-0068

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe colonial habit of Brandt's vole (Lasiopodomys brandtii) differs from that of most other species of the genus Microtus. The demographic history of this species and the patterns shaping its current genetic structure remain unknown. Here, we explored patterns of genetic differentiation and infered the demographic history of Brandt's vole populations through analyses of nuclear microsatellite and D-loop sequences.

resultsPhylogenetic analyses divided the sampled populations into three main clusters, which represent the southeastern, northeastern and western parts of the total range in Mongolia and China. Molecular data revealed an ancestral area located in the southeast of the extant range, in the Xilinguole District, Inner Mongolia, China, from where Brandt's vole populations began expanding. A gene flow analysis suggested that the most likely colonization route was from the ancestral area and was followed by subsequent northeastward and westward range expansions. We identified decreases in genetic diversity with increasing distance from the founder population within the newly occupied regions (northeastern and western regions), clinal patterns in the allele frequencies, alleles that were rare in the original area that have become common in the newly occupied regions, and higher genetic differentiation in the expanded range compared with the original one.

conclusionOur results indicate that L. brandtii most likely originated from the southeastern part of its current geographic range, and subsequently colonized into the northeastern and western parts by expansion. The genetic patterns among the derived populations and with respect to the original population are consistent with that expected under genetic surfing models, which indicated that genetic drift, rather than gene flow, is the predominant factor underlying the genetic structure of expanding Brandt's vole populations.

Indexed as

AnimalsArvicolinaeChinaDNA, MitochondrialGene FrequencyGenetic DriftGenetic VariationMicrosatellite RepeatsModels, GeneticMongoliaPhylogenyDNA, MitochondrialAncestral areaGenetic surfingLasiopodomys brandtiiMigrationRange expansion

Identifiers

PMID28637425
PMCPMC5480173

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.