Opportunity and Challenges for Whole‐Genome Resequencing‐based Genotyping in Plants

基因分型 生物 全基因组关联研究 基因组 单倍型 单核苷酸多态性 遗传关联 遗传学 遗传变异 索引 计算生物学 基因型 基因
作者
Surbhi Kumawat,Gaurav Raturi,Pallavi Dhiman,Sreeja Sudhakarn,Nitika Rajora,Vandana Thakral,Himanshu Yadav,Gunashri Padalkar,Yogesh Sharma,Vinaykumar Rachappanavar,Manish Kumar
标识
DOI:10.1002/9781119745686.ch3
摘要

Genotyping techniques have been redesigned with the advent of next-generation sequencing technology, allowing for more effective genome mapping and analysis. Among NGS, whole-genome resequencing (WGR) is a powerful method to address evolutionary relationship that has not been completely resolved by traditional methods. WGR identifies a wide range of genetic variations through single nucleotide polymorphism. It further acts as a tool to identify the genetic basis of disease and phenotypic traits. Several megaprojects such as 1K Arabidopsis and 3K rice genome resequencing projects have been undertaken to determine the population-specific genetic variation. The recent advancement in whole-genome sequencing includes Pool-Seq which provides an alternative to individual sequencing and a cost-effective method for genome-wide association studies (GWAS). WGR has also been implemented in the identification of the target gene responsible for a particular agronomic trait with the help of QTL. Various online resources of WGR are available for SNP identification, haplotyping, and genetic variation analysis. In recent years, WGR has become a routine strategy to analyze insertion-deletion (InDels) and structural variation detection. Further, WGR showed a wide range of applications in identifying evolutionary relationships, genetic variation, haplotyping, GWAS, and conservation breeding.

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
李爱国应助花生糖采纳,获得10
1秒前
LBJ完成签到,获得积分10
2秒前
Longfenzhong发布了新的文献求助10
3秒前
科研通AI6.2应助zzz1310采纳,获得10
3秒前
4秒前
4秒前
2222完成签到,获得积分10
4秒前
田様应助12138lzy采纳,获得50
5秒前
5秒前
EastWind完成签到,获得积分10
6秒前
怡心亭发布了新的文献求助10
6秒前
7秒前
7秒前
7秒前
K8完成签到,获得积分20
8秒前
8秒前
9秒前
七听应助红发罗恩采纳,获得30
10秒前
啊哈完成签到,获得积分10
10秒前
Sunny发布了新的文献求助10
11秒前
11秒前
12秒前
可爱的函函应助charint采纳,获得10
13秒前
14秒前
十三发布了新的文献求助10
14秒前
15秒前
木木夕完成签到,获得积分10
15秒前
16秒前
风筝鱼完成签到 ,获得积分10
16秒前
17秒前
19秒前
淇淇发布了新的文献求助10
19秒前
19秒前
小张发布了新的文献求助10
20秒前
22秒前
22秒前
qqs完成签到,获得积分10
22秒前
你好好想想完成签到,获得积分10
23秒前
Joy发布了新的文献求助10
23秒前
24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
Reducing Compassion Fatigue, Secondary Traumatic Stress and Burnout 600
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Mammalian Synthetic Biology 500
Auslegungsgeschichte 500
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 500
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 7638481
求助须知:如何正确求助?哪些是违规求助? 9211737
关于积分的说明 19759776
捐赠科研通 7205450
什么是DOI,文献DOI怎么找? 3275880
关于科研通互助平台的介绍 2437447
邀请新用户注册赠送积分活动 2273082