Literature DB >> 34417564

A strategic sampling design revealed the local genetic structure of cold-water fluvial sculpin: a focus on groundwater-dependent water temperature heterogeneity.

Souta Nakajima1, Masanao Sueyoshi2, Shun K Hirota3, Nobuo Ishiyama4, Ayumi Matsuo3, Yoshihisa Suyama3, Futoshi Nakamura5.   

Abstract

A key piece of information for ecosystem management is the relationship between the environment and population genetic structure. However, it is difficult to clearly quantify the effects of environmental factors on genetic differentiation because of spatial autocorrelation and analytical problems. In this study, we focused on stream ecosystems and the environmental heterogeneity caused by groundwater and constructed a sampling design in which geographic distance and environmental differences are not correlated. Using multiplexed ISSR genotyping by sequencing (MIG-seq) method, a fine-scale population genetics study was conducted in fluvial sculpin Cottus nozawae, for which summer water temperature is the determinant factor in distribution and survival. There was a clear genetic structure in the watershed. Although a significant isolation-by-distance pattern was detected in the watershed, there was no association between genetic differentiation and water temperature. Instead, asymmetric gene flow from relatively low-temperature streams to high-temperature streams was detected, indicating the importance of low-temperature streams and continuous habitats. The groundwater-focused sampling strategy yielded insightful results for conservation.
© 2021. The Author(s), under exclusive licence to The Genetics Society.

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Year:  2021        PMID: 34417564      PMCID: PMC8478981          DOI: 10.1038/s41437-021-00468-z

Source DB:  PubMed          Journal:  Heredity (Edinb)        ISSN: 0018-067X            Impact factor:   3.832


  42 in total

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Journal:  Mol Ecol       Date:  2021-01-07       Impact factor: 6.185

6.  Climate structures genetic variation across a species' elevation range: a test of range limits hypotheses.

Authors:  Jason P Sexton; Matthew B Hufford; Ashley C Bateman; David B Lowry; Harald Meimberg; Sharon Y Strauss; Kevin J Rice
Journal:  Mol Ecol       Date:  2016-02-09       Impact factor: 6.185

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Authors:  Ian J Wang; Kyle Summers
Journal:  Mol Ecol       Date:  2009-12-15       Impact factor: 6.185

8.  Bayesian inference of recent migration rates using multilocus genotypes.

Authors:  Gregory A Wilson; Bruce Rannala
Journal:  Genetics       Date:  2003-03       Impact factor: 4.562

9.  Trimmomatic: a flexible trimmer for Illumina sequence data.

Authors:  Anthony M Bolger; Marc Lohse; Bjoern Usadel
Journal:  Bioinformatics       Date:  2014-04-01       Impact factor: 6.937

10.  MIG-seq: an effective PCR-based method for genome-wide single-nucleotide polymorphism genotyping using the next-generation sequencing platform.

Authors:  Yoshihisa Suyama; Yu Matsuki
Journal:  Sci Rep       Date:  2015-11-23       Impact factor: 4.379

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