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Genomic analysis of field pennycress (Thlaspi arvense) provides insights into mechanisms of adaptation to high elevation.

  • Yupeng Geng
    ,
  • Yabin Guan
    ,
  • La Qiong
    ,
  • Shugang Lu
    ,
  • Miao An
    ,
  • James Crabbe
  • Yunnan University
    ,
  • Tibet University
    ,
  • Shanghai Jiao Tong University
    ,
  • University of Oxford
    ,
  • Shanxi University
    ,
  • Fudan University
Research Output: Contribution to journal Article Peer-review

Open access

Sustainable Development Goals

  • SDG 13 - Climate Action
    SDG 13 Climate Action

Abstract

Background: Understanding how organisms evolve and adapt to extreme habitats is of crucial importance in evolutionary ecology. Altitude gradients are an important determinant of the distribution pattern and range of organisms due to distinct climate conditions at different altitudes. High-altitude regions often provide extreme environments including low temperature and oxygen concentration, poor soil, and strong levels of ultraviolet radiation, leading to very few plant species being able to populate elevation ranges greater than 4000 m. Field pennycress (Thlaspi arvense) is a valuable oilseed crop and emerging model plant distributed across an elevation range of nearly 4500 m. Here, we generate an improved genome assembly to understand how this species adapts to such different environments. Results: We sequenced and assembled de novo the chromosome-level pennycress genome of 527.3 Mb encoding 31,596 genes. Phylogenomic analyses based on 2495 single-copy genes revealed that pennycress is closely related to Eutrema salsugineum (estimated divergence 14.32–18.58 Mya), and both species form a sister clade to Schrenkiella parvula and genus Brassica. Field pennycress contains the highest percentage (70.19%) of transposable elements in all reported genomes of Brassicaceae, with the retrotransposon proliferation in the Middle Pleistocene being likely responsible for the expansion of genome size. Moreover, our analysis of 40 field pennycress samples in two highand two low-elevation populations detected 1,256,971 high-quality single nucleotide polymorphisms. Using three complementary selection tests, we detected 130 candidate naturally selected genes in the Qinghai-Tibet Plateau (QTP) populations, some of which are involved in DNA repair and the ubiquitin system and potential candidates involved in high-altitude adaptation. Notably, we detected a single base mutation causing loss-of-function of the FLOWERING LOCUS C protein, responsible for the transition to early flowering in high-elevation populations. Conclusions: Our results provide a genome-wide perspective of how plants adapt to distinct environmental conditions across extreme elevation differences and the potential for further follow-up research with extensive data from additional populations and species.

Publication Information

Output type

Research Output: Contribution to journal Article Peer-review

Original language

English

Article number

143

Pages from-to (Number of pages)

Pages 143

Journal (Volume, Issue Number)

BMC Biology (Volume 19, Issue 1)

Publication milestones

  • Accepted/In press - 29/06/2021
  • Published - 22/07/2021

Publication status

Published - 22/07/2021

External Publication IDs

  • handle.net: 10547/625060
  • Scopus: 85111627538
  • PubMed: 34294107

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