Literature DB >> 24154703

Genetic analysis of population differentiation and adaptation in Leuciscus waleckii.

Yumei Chang1, Ran Tang, Xiaowen Sun, Liqun Liang, Jinping Chen, Jinfeng Huang, Xinjie Dou, Ran Tao.   

Abstract

Demographic events and natural selection both influence animal phenotypic and genetic variation; exploring the effects of demography and selection on population divergence is of great significance in evolutionary biology. To uncover the causes behind the patterns of genetic differentiation and adaptation among six populations of Leuciscus waleckii from Dali Basin (two populations, alkaline vs. freshwater) and Amur Basin (four populations, freshwater rivers vs. alkaline lake), a set of 21 unlinked polymorphic microsatellite markers and two mitochondrial DNA sequences (Cytb and D-loop) were applied to examine whether populations from different environments or habitats have distinct genetic differentiation and whether alkalinity is the major factor that caused population divergence. Bayesian analysis and principal component analysis as well as haplotype network analysis showed that these populations are primarily divided into two groups, which are congruent with geographic separation but not inconsistent with the habitat environment (alkalinity). Using three different approaches, outlier detection indicated that one locus, HLJYL017, may be under directional selection and involved in local adaptation processes. Overall, this study suggested that demographic events and selection of local environmental conditions including of alkalinity are jointly responsible for population divergence. These findings constitute an important step towards the understanding of the genetic basis of differentiation and adaptation, as well as towards the conservation of L. waleckii.

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Year:  2013        PMID: 24154703     DOI: 10.1007/s10709-013-9741-6

Source DB:  PubMed          Journal:  Genetica        ISSN: 0016-6707            Impact factor:   1.082


  43 in total

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2.  Identifying adaptive genetic divergence among populations from genome scans.

Authors:  Mark A Beaumont; David J Balding
Journal:  Mol Ecol       Date:  2004-04       Impact factor: 6.185

3.  Evidence for morphological and adaptive genetic divergence between lake and stream habitats in European minnows (Phoxinus phoxinus, Cyprinidae).

Authors:  Hélène Collin; Luca Fumagalli
Journal:  Mol Ecol       Date:  2011-09-27       Impact factor: 6.185

Review 4.  Using genome scans of DNA polymorphism to infer adaptive population divergence.

Authors:  Jay F Storz
Journal:  Mol Ecol       Date:  2005-03       Impact factor: 6.185

5.  Selection and genomic differentiation during ecological speciation: isolating the contributions of host association via a comparative genome scan of Neochlamisus bebbianae leaf beetles.

Authors:  Scott P Egan; Patrik Nosil; Daniel J Funk
Journal:  Evolution       Date:  2008-02-21       Impact factor: 3.694

6.  Speciation with gene flow could be common.

Authors:  Patrik Nosil
Journal:  Mol Ecol       Date:  2008-04-10       Impact factor: 6.185

7.  Gene flow and the geographic structure of natural populations.

Authors:  M Slatkin
Journal:  Science       Date:  1987-05-15       Impact factor: 47.728

8.  Evidence of microsatellite hitch-hiking selection in Atlantic cod (Gadus morhua L.): implications for inferring population structure in nonmodel organisms.

Authors:  Einar E Nielsen; Michael M Hansen; Dorte Meldrup
Journal:  Mol Ecol       Date:  2006-10       Impact factor: 6.185

9.  Expressed sequence tag-linked microsatellites as a source of gene-associated polymorphisms for detecting signatures of divergent selection in atlantic salmon (Salmo salar L.).

Authors:  Anti Vasemägi; Jan Nilsson; Craig R Primmer
Journal:  Mol Biol Evol       Date:  2005-02-02       Impact factor: 16.240

10.  Current and historical patterns of drainage connectivity in eastern Australia inferred from population genetic structuring in a widespread freshwater fish Pseudomugil signifer (Pseudomugilidae).

Authors:  B B M Wong; J S Keogh; D J McGlashan
Journal:  Mol Ecol       Date:  2004-02       Impact factor: 6.185

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  5 in total

1.  Mitogenomic Perspectives on the Adaptation to Extreme Alkaline Environment of Amur ide (Leuciscus waleckii).

Authors:  Chuanju Dong; Xiaodi Duan; Laghari Muhammad Younis; Meng Zhang; Xiao Ma; Baohua Chen; Xuejun Li; Peng Xu
Journal:  Mar Biotechnol (NY)       Date:  2020-02-06       Impact factor: 3.619

2.  Microbiota Comparison of Amur ide (Leuciscus waleckii) Intestine and Waters at Alkaline Water and Freshwater as the Living Environment.

Authors:  Liang Luo; Yue Xu; Yumei Chang; Bo Sun; Limin Zhang; Zhigang Zhao; Liqun Liang
Journal:  Front Microbiol       Date:  2022-05-04       Impact factor: 6.064

3.  Transcriptional Profiling Reveals Differential Gene Expression of Amur Ide (Leuciscus waleckii) during Spawning Migration.

Authors:  Jun Cui; Jian Xu; Songhao Zhang; Kai Wang; Yanliang Jiang; Shahid Mahboob; Khalid A Al-Ghanim; Peng Xu
Journal:  Int J Mol Sci       Date:  2015-06-18       Impact factor: 5.923

4.  Resequencing and SNP discovery of Amur ide (Leuciscus waleckii) provides insights into local adaptations to extreme environments.

Authors:  Shuangyi Wang; Youyi Kuang; Liqun Liang; Bo Sun; Xuefei Zhao; Limin Zhang; Yumei Chang
Journal:  Sci Rep       Date:  2021-03-03       Impact factor: 4.379

5.  Identification and Analysis of Long Non-coding RNAs in Leuciscus waleckii Adapted to Highly Alkaline Conditions.

Authors:  Xue Fei Zhao; Li Qun Liang; Hon Jung Liew; Yu Mei Chang; Bo Sun; Shuang Yi Wang; Bo Han Mi; Li Min Zhang
Journal:  Front Physiol       Date:  2021-06-11       Impact factor: 4.566

  5 in total

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