Pan‐genome analysis of 13 Spinacia accessions reveals structural variations associated with sex chromosome evolution and domestication traits in spinach

生物 菠菜 驯化 菠菜 遗传学 基因组 染色体 数量性状位点 进化生物学 基因 生态学 叶绿体
作者
Hongbing She,Zhiyuan Liu,Zhaosheng Xu,Helong Zhang,Jian Wu,Feng Cheng,Xiaowu Wang,Wei Qian
出处
期刊:Plant Biotechnology Journal [Wiley]
卷期号:22 (11): 3102-3117 被引量:7
标识
DOI:10.1111/pbi.14433
摘要

Summary Structural variations (SVs) are major genetic variants that can be involved in the origin, adaptation and domestication of species. However, the identification and characterization of SVs in Spinacia species are rare due to the lack of a pan‐genome. Here, we report eight chromosome‐scale assemblies of cultivated spinach and its two wild species. After integration with five existing assemblies, we constructed a comprehensive Spinacia pan‐genome and identified 193 661 pan‐SVs, which were genotyped in 452 Spinacia accessions. Our pan‐SVs enabled genome‐wide association study identified signals associated with sex and clarified the evolutionary direction of spinach. Most sex‐linked SVs (86%) were biased to occur on the Y chromosome during the evolution of the sex‐linked region, resulting in reduced Y‐linked gene expression. The frequency of pan‐SVs among Spinacia accessions further illustrated the contribution of these SVs to domestication, such as bolting time and seed dormancy. Furthermore, compared with SNPs, pan‐SVs act as efficient variants in genomic selection (GS) because of their ability to capture missing heritability information and higher prediction accuracy. Overall, this study provides a valuable resource for spinach genomics and highlights the potential utility of pan‐SV in crop improvement and breeding programmes.
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
坚强且66完成签到,获得积分10
刚刚
脑洞疼应助科研通管家采纳,获得10
刚刚
天天快乐应助科研通管家采纳,获得10
刚刚
刚刚
大个应助科研通管家采纳,获得10
1秒前
1秒前
东方元语应助科研通管家采纳,获得20
1秒前
共享精神应助科研通管家采纳,获得10
1秒前
超爱笑应助科研通管家采纳,获得10
1秒前
1秒前
1秒前
ding应助科研通管家采纳,获得10
1秒前
2秒前
2秒前
小蘑菇应助科研通管家采纳,获得10
2秒前
2秒前
2秒前
云汀发布了新的文献求助10
2秒前
久香发布了新的文献求助10
3秒前
3秒前
李爱国应助刘威采纳,获得10
4秒前
科研通AI6.2应助聪聪采纳,获得10
4秒前
5秒前
11关注了科研通微信公众号
6秒前
机灵的采柳完成签到,获得积分10
6秒前
毛毛余发布了新的文献求助10
7秒前
7秒前
桐桐应助迷路依白采纳,获得10
7秒前
Amaryllis应助傲娇一曲采纳,获得20
8秒前
日落满江红完成签到,获得积分10
9秒前
奥雷里亚诺完成签到 ,获得积分10
9秒前
LVZHIPENG发布了新的文献求助10
12秒前
hmily发布了新的文献求助10
13秒前
15秒前
Akim应助Hu111采纳,获得10
16秒前
16秒前
17秒前
19秒前
19秒前
科研通AI6.4应助a海w采纳,获得10
19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
An Introduction to Foreign Language Learning and Teaching 750
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 500
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
煤炭地下气化渗流燃烧方法的研究 400
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 7631651
求助须知:如何正确求助?哪些是违规求助? 9206098
关于积分的说明 19743435
捐赠科研通 7200868
什么是DOI,文献DOI怎么找? 3274651
关于科研通互助平台的介绍 2436554
邀请新用户注册赠送积分活动 2271265