亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Evolutionary history and biological adaptation of Han Chinese people on the Mongolian Plateau

适应(眼睛) 人口 遗传变异 进化生物学 人口历史 自然选择 选择性扫描 生物 等位基因 单倍型 遗传学 人口学 基因 神经科学 社会学
作者
Xiangping Li,Mengge Wang,Haoran Su,Shuhan Duan,Yuntao Sun,Hongyu Chen,Zhiyong Wang,Qiuxia Sun,Qingxin Yang,Jing Chen,Ting Yang,Yuguo Huang,Jie Zhong,Xiucheng Jiang,Jinyue Ma,Shijia Chen,Yunhui Liu,Lintao Luo,Xinyu Lin,Shengjie Nie
出处
期刊: [Elsevier BV]
卷期号:2 (6): 296-313 被引量:23
标识
DOI:10.1016/j.hlife.2024.04.005
摘要

Complex demographic processes and natural selection pressures are critical to resolving patterns of the molecular genetic basis of adaptative traits or complex diseases. Recent ancient genome data allow us to trace how key traits evolved in different human populations over time, connecting ancient population history with disease susceptibility in western Eurasians. To fill this gap in eastern Eurasians and provide deep insights into the evolutionary history of the population-specific genetic basis of complex biological traits, we explored the evolutionary basis of adaptative traits in one integrative modern and ancient genomic database, including 225 out of 5583 genomes first reported here. We comprehensively characterized the demographic history and biological adaptation of Han Chinese individuals on the Mongolian Plateau based on the allele frequency spectrum and haplotype-resolved fragments. We found strong genetic homogeneity among geographically different Han populations from Inner Mongolia (IMH). We reconstructed their admixture models and demographic events, revealing that IMH had a close genetic relationship with ancient millet farmers and obtained additional gene flow from Altaic-speaking populations. The enrichment of selected candidate genes suggested that essential metabolism-related genes promoted the rapid adaptation of eastern Eurasians to ancient environmental shifts and dietary changes during agricultural innovations. Evolutionary trajectory reconstruction of metabolism-related genes of methylenetetrahydrofolate reductase (MTHFR) and fatty acid desaturase 1 (FADS1) suggested that ancient dietary shifts during the Neolithic transition period promoted the differentiated metabolic rate of folate and fatty acid. We revealed the polygenicity of biological adaptation traits and the pleiotropy of adaptative genes, indicating that complex recent polygenic adaptations, genetic interactions, and genotype-phenotype correlations have contributed to the genetic architecture of complex traits in eastern Eurasians.
最长约 10秒,即可获得该文献文件

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
bazhuayuyu7完成签到,获得积分10
6秒前
所所应助好久不见采纳,获得10
9秒前
崔紫焱关注了科研通微信公众号
10秒前
神速闪电发布了新的文献求助10
12秒前
Kao应助Marciu33采纳,获得10
16秒前
20秒前
shah发布了新的文献求助10
25秒前
30秒前
369ninja发布了新的文献求助10
35秒前
斯文败类应助欣喜战斗机采纳,获得10
40秒前
神速闪电发布了新的文献求助10
41秒前
47秒前
52秒前
文艺的老姆完成签到,获得积分10
55秒前
超帅曼柔完成签到,获得积分10
59秒前
木木完成签到 ,获得积分10
1分钟前
paradox完成签到 ,获得积分10
1分钟前
soilman发布了新的文献求助10
1分钟前
神速闪电发布了新的文献求助10
1分钟前
lizhi应助嘻嘻哈哈采纳,获得155
1分钟前
1分钟前
nina完成签到 ,获得积分10
1分钟前
1分钟前
嘻嘻哈哈发布了新的文献求助155
1分钟前
soilman发布了新的文献求助10
1分钟前
htttt发布了新的文献求助10
1分钟前
忧郁思远完成签到,获得积分10
1分钟前
1分钟前
科研通AI6.4应助QQ采纳,获得10
1分钟前
1分钟前
多情的涔完成签到,获得积分10
1分钟前
神速闪电发布了新的文献求助10
1分钟前
imricc完成签到 ,获得积分10
2分钟前
酷酷的大米完成签到,获得积分10
2分钟前
2分钟前
默默无闻完成签到 ,获得积分10
2分钟前
儒雅电源应助神速闪电采纳,获得10
2分钟前
2分钟前
2分钟前
2分钟前
高分求助中
Markov Chain Monte Carlo 10000
(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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 2000
Bend stiffness of submarine cables – an experimental and numerical investigation 1000
Advanced Weaponeering Fourth Edition, Volume 2 1000
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7536149
求助须知:如何正确求助?哪些是违规求助? 9121248
关于积分的说明 19485403
捐赠科研通 7134731
什么是DOI,文献DOI怎么找? 3257432
关于科研通互助平台的介绍 2424712
邀请新用户注册赠送积分活动 2245276