Climate‐related naturally occurring epimutation and their roles in plant adaptation in A. thaliana

Author:

Chen Bowei1234ORCID,Wang Min123,Guo Yile123,Zhang Zihui123,Zhou Wei123,Cao Lesheng123,Zhang Tianxu123,Ali Shahid123,Xie Linan235,Li Yuhua35,Zinta Gaurav67,Sun Shanwen123ORCID,Zhang Qingzhu123ORCID

Affiliation:

1. State Key Laboratory of Tree Genetics and Breeding Northeast Forestry University Harbin China

2. The Center for Basic Forestry Research, College of Forestry Northeast Forestry University Harbin China

3. College of Life Science Northeast Forestry University Harbin China

4. College of Biology Resources and Environmental Sciences Jishou University Jishou China

5. Key Laboratory of Saline‐Alkali Vegetation Ecology Restoration, Ministry of Education, College of Life Science Northeast Forestry University Harbin China

6. Integrative Plant AdaptOmics Lab (iPAL), Biotechnology Division, CSIR‐Institute of Himalayan Bioresource Technology, Palampur (CSIR‐IHBT) Palampur Himachal Pradesh India

7. Academy of Scientific and Innovative Research (AcSIR) Ghaziabad India

Abstract

AbstractDNA methylation has been proposed to be an important mechanism that allows plants to respond to their environments sometimes entirely uncoupled from genetic variation. To understand the genetic basis, biological functions and climatic relationships of DNA methylation at a population scale in Arabidopsis thaliana, we performed a genome‐wide association analysis with high‐quality single nucleotide polymorphisms (SNPs), and found that ~56% on average, especially in the CHH sequence context (71%), of the differentially methylated regions (DMRs) are not tagged by SNPs. Among them, a total of 3235 DMRs are significantly associated with gene expressions and potentially heritable. 655 of the 3235 DMRs are associated with climatic variables, and we experimentally verified one of them, HEI10 (HUMAN ENHANCER OF CELL INVASION NO.10). Such epigenetic loci could be subjected to natural selection thereby affecting plant adaptation, and would be expected to be an indicator of accessions at risk. We therefore incorporated these climate‐related DMRs into a gradient forest model, and found that the natural A. thaliana accessions in Southern Europe that may be most at risk under future climate change. Our findings highlight the importance of integrating DNA methylation that is independent of genetic variations, and climatic data to predict plants' vulnerability to future climate change.

Funder

Central University Basic Research Fund of China

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Wiley

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