Literature DB >> 32606418

Assessments of fine-scale spatial patterns of SNPs in an old-growth beech forest.

Masashi Tsukamoto1, Shinji Akada2, Shuichi Matsuda2, Hitomi Jouyu2, Hiromitsu Kisanuki1, Nobuhiro Tomaru3, Takeshi Torimaru4.   

Abstract

The spatial patterns of non-neutral genetic variations at fine spatial scales and their possible associations with microenvironments have not been well-documented for tree populations. Based on 25-32 SNP markers, we examine whether non-neutral SNPs and their associations with microenvironments can be detected in FcMYB1603, a gene homologous to that encoding a protein induced by drought stress in Arabidopsis thaliana for the 166 adult trees in a 1-ha plot in a mature population of Fagus crenata. In the 83 individuals of a younger cohort of below canopy trees, the nonsynonymous SNP at locus FcMYB1603_684 exhibited a spatial signature representing a departure from the expected spatial patterns of neutral genetic variation. Evaluations of non-neutrality for this locus were robust against the potential risks of false positives due to the low number of SNP loci, a low criterion set for minor allele frequency, and any edge effect on the trees' spatial structure. An older cohort exhibited no signal of the existence of non-neutral genetic variation, suggesting that temporal fluctuation in the microenvironmental conditions on the forest floor may have exposed different cohorts to different magnitudes of selection pressure. Although genotypes of the locus showed a spatial association with a microenvironmental variable potentially related to soil moisture, the present study was subject to a limitation due to the generally low polymorphism of nonsynonymous loci within the single plot, which suggests that it will be important to replicate the study design in order to carry out research on fine-scale non-neutral genetic variations.

Entities:  

Year:  2020        PMID: 32606418      PMCID: PMC7490353          DOI: 10.1038/s41437-020-0334-8

Source DB:  PubMed          Journal:  Heredity (Edinb)        ISSN: 0018-067X            Impact factor:   3.821


  31 in total

1.  Heterogeneous genetic structure in a Fagus crenata population in an old-growth beech forest revealed by microsatellite markers.

Authors:  Y Asuka; N Tomaru; N Nisimura; Y Tsumura; S Yamamoto
Journal:  Mol Ecol       Date:  2004-05       Impact factor: 6.185

2.  New insights from fine-scale spatial genetic structure analyses in plant populations.

Authors:  X Vekemans; O J Hardy
Journal:  Mol Ecol       Date:  2004-04       Impact factor: 6.185

Review 3.  Generalized linear mixed models: a practical guide for ecology and evolution.

Authors:  Benjamin M Bolker; Mollie E Brooks; Connie J Clark; Shane W Geange; John R Poulsen; M Henry H Stevens; Jada-Simone S White
Journal:  Trends Ecol Evol       Date:  2009-03       Impact factor: 17.712

4.  MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods.

Authors:  Koichiro Tamura; Daniel Peterson; Nicholas Peterson; Glen Stecher; Masatoshi Nei; Sudhir Kumar
Journal:  Mol Biol Evol       Date:  2011-05-04       Impact factor: 16.240

5.  genepop'007: a complete re-implementation of the genepop software for Windows and Linux.

Authors:  François Rousset
Journal:  Mol Ecol Resour       Date:  2008-01       Impact factor: 7.090

6.  Spatial detection of outlier loci with Moran eigenvector maps.

Authors:  Helene H Wagner; Mariana Chávez-Pesqueira; Brenna R Forester
Journal:  Mol Ecol Resour       Date:  2017-02-18       Impact factor: 7.090

Review 7.  MYB transcription factors in Arabidopsis.

Authors:  Christian Dubos; Ralf Stracke; Erich Grotewold; Bernd Weisshaar; Cathie Martin; Loïc Lepiniec
Journal:  Trends Plant Sci       Date:  2010-07-30       Impact factor: 18.313

8.  Multilocus patterns of nucleotide polymorphism and the demographic history of Populus tremula.

Authors:  Pär K Ingvarsson
Journal:  Genetics       Date:  2008-08-20       Impact factor: 4.562

9.  Double digest RADseq: an inexpensive method for de novo SNP discovery and genotyping in model and non-model species.

Authors:  Brant K Peterson; Jesse N Weber; Emily H Kay; Heidi S Fisher; Hopi E Hoekstra
Journal:  PLoS One       Date:  2012-05-31       Impact factor: 3.240

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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