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Spatial genetic and epigenetic structure of Thlaspi arvense (field pennycress) in China

  • Yabin Guan
    ,
  • Peng Qu
    ,
  • Shugang Lu
    ,
  • James Crabbe
    ,
  • Ti-Cao Zhang
    ,
  • Yu-peng Geng
Research Output: Contribution to journal Article Peer-review

Open access

Abstract

(Received 13 May 2020, accepted 15 July 2020; J-STAGE Advance published date: 11 November 2020) Thlaspi arvense (field pennycress) is widespread in temperate regions of the northern hemisphere. We estimated the genetic and epigenetic structure of eight T. arvense populations (131 individuals) in China using amplified fragment length polymorphism and methylation-sensitive amplified polymorphism molecularmarker techniques. We detected low diversity at both genetic (mean = 0.03; total = 0.07) and epigenetic (mean = 0.04; total = 0.07) levels, while significant genetic (FST = 0.42, P < 0.001) and epigenetic (FST = 0.32, P < 0.001) divergence was found across the distribution range. Using Mantel testing, we found spatial genetic and epigenetic differentiation, consistent with isolation-by-distance models. We also identified a strong correlation between genetic and epigenetic differentiation (r = 0.7438, P < 0.001), suggesting genetic control of the epigenetic variation. Our results indicate that mating system, natural selection and gene flow events jointly structure spatial patterns of genetic and epigenetic variation. Moreover, epigenetic variation may serve as a basis of natural selection and ecological evolution to enable species to adapt to heterogeneous habitats. Our study provides novel clues for the adaptation of T. arvense.

Publication Information

Output type

Research Output: Contribution to journal Article Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 1-10

Journal (Volume, Issue Number)

Genes and Genetic Systems (Volume 95)

Publication milestones

  • Accepted/In press - 15/07/2020
  • Published - 11/11/2020

Publication status

Published - 11/11/2020

ISSN

1341-7568

External Publication IDs

  • handle.net: 10547/624614
  • Scopus: 85091138351