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

生物 DNA甲基化 差异甲基化区 表观遗传学 单核苷酸多态性 背景(考古学) 局部适应 遗传学 拟南芥 自然选择 人口 进化生物学 基因 基因型 基因表达 突变体 古生物学 人口学 社会学
作者
Bowei Chen,Min Wang,Yile Guo,Zihui Zhang,Wei Zhou,Lesheng Cao,Tianxu Zhang,Shahid Ali,Linan Xie,Yuhua Li,Gaurav Zinta,Shanwen Sun,Qingzhu Zhang
出处
期刊:Molecular Ecology [Wiley]
卷期号:33 (21) 被引量:2
标识
DOI:10.1111/mec.17356
摘要

DNA 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.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
小马甲应助停停走走采纳,获得10
1秒前
Judy完成签到,获得积分10
1秒前
wenlong发布了新的文献求助10
2秒前
柔弱的问梅完成签到,获得积分10
2秒前
小二郎应助徐徐采纳,获得10
2秒前
3秒前
4秒前
4秒前
4秒前
完美世界应助土豪的糜采纳,获得10
4秒前
6秒前
SciGPT应助外向若颜采纳,获得30
6秒前
Yogita完成签到,获得积分0
7秒前
7秒前
8秒前
8秒前
全小将完成签到,获得积分10
9秒前
fhb完成签到,获得积分20
9秒前
9秒前
王诗语发布了新的文献求助10
9秒前
10秒前
糕点院士完成签到,获得积分10
11秒前
半壶月色半边天完成签到 ,获得积分10
11秒前
爆米花应助晓宇采纳,获得10
12秒前
YY1023发布了新的文献求助10
12秒前
GL发布了新的文献求助10
12秒前
polite完成签到,获得积分10
12秒前
bin完成签到,获得积分10
13秒前
13秒前
李健的粉丝团团长应助Wlin采纳,获得10
14秒前
阿拉发布了新的文献求助10
14秒前
14秒前
大力的灵雁应助Hoshino采纳,获得70
15秒前
16秒前
star完成签到 ,获得积分10
17秒前
CodeCraft应助高兴jin采纳,获得10
17秒前
18秒前
小橘子完成签到,获得积分10
19秒前
DF发布了新的文献求助10
19秒前
lsy完成签到,获得积分10
20秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Modern Epidemiology, Fourth Edition 5000
Kinesiophobia : a new view of chronic pain behavior 5000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 纳米技术 化学工程 生物化学 物理 计算机科学 内科学 复合材料 催化作用 物理化学 光电子学 电极 冶金 细胞生物学 基因
热门帖子
关注 科研通微信公众号,转发送积分 6018327
求助须知:如何正确求助?哪些是违规求助? 7606399
关于积分的说明 16158938
捐赠科研通 5165921
什么是DOI,文献DOI怎么找? 2765127
邀请新用户注册赠送积分活动 1746656
关于科研通互助平台的介绍 1635331