Construction of a high-density genetic map and identification of QTLs related to agronomic and physiological traits in an interspecific (Gossypium hirsutum × Gossypium barbadense) F


Journal

BMC genomics
ISSN: 1471-2164
Titre abrégé: BMC Genomics
Pays: England
ID NLM: 100965258

Informations de publication

Date de publication:
15 Apr 2022
Historique:
received: 29 12 2021
accepted: 21 03 2022
entrez: 16 4 2022
pubmed: 17 4 2022
medline: 20 4 2022
Statut: epublish

Résumé

Advances in genome sequencing technology, particularly restriction-site associated DNA sequence (RAD-seq) and whole-genome resequencing, have greatly aided the construction of cotton interspecific genetic maps based on single nucleotide polymorphism (SNPs), Indels, and other types of markers. High-density genetic maps can improve accuracy of quantitative trait locus (QTL) mapping, narrow down location intervals, and facilitate identification of the candidate genes. In this study, 249 individuals from an interspecific F Our research illustrates the efficiency of constructing a genetic map using binmap and QTL mapping on the basis of a certain size of the early-generation population. High-density genetic map features high recombination exchanges in number and distribution. The QTLs and the candidate genes identified based on this high-density genetic map may provide important gene resources for the genetic improvement of cotton.

Sections du résumé

BACKGROUND BACKGROUND
Advances in genome sequencing technology, particularly restriction-site associated DNA sequence (RAD-seq) and whole-genome resequencing, have greatly aided the construction of cotton interspecific genetic maps based on single nucleotide polymorphism (SNPs), Indels, and other types of markers. High-density genetic maps can improve accuracy of quantitative trait locus (QTL) mapping, narrow down location intervals, and facilitate identification of the candidate genes.
RESULT RESULTS
In this study, 249 individuals from an interspecific F
CONCLUSION CONCLUSIONS
Our research illustrates the efficiency of constructing a genetic map using binmap and QTL mapping on the basis of a certain size of the early-generation population. High-density genetic map features high recombination exchanges in number and distribution. The QTLs and the candidate genes identified based on this high-density genetic map may provide important gene resources for the genetic improvement of cotton.

Identifiants

pubmed: 35428176
doi: 10.1186/s12864-022-08528-2
pii: 10.1186/s12864-022-08528-2
pmc: PMC9013169
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

307

Informations de copyright

© 2022. The Author(s).

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Auteurs

Zhanfeng Si (Z)

Agronomy Department, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, 310029, China.
The Rural Development Academy Zhejiang University, Hangzhou, 310029, China.

Shangkun Jin (S)

Agronomy Department, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, 310029, China.

Jiedan Chen (J)

Agronomy Department, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, 310029, China.

Sen Wang (S)

State Key Laboratory of Crop Genetics and Germplasm Enhancement, Cotton Hybrid R & D Engineering Center (the Ministry of Education), College of Agriculture, Nanjing Agricultural University, 210095, Nanjing, China.

Lei Fang (L)

Agronomy Department, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, 310029, China.

Xiefei Zhu (X)

State Key Laboratory of Crop Genetics and Germplasm Enhancement, Cotton Hybrid R & D Engineering Center (the Ministry of Education), College of Agriculture, Nanjing Agricultural University, 210095, Nanjing, China.

Tianzhen Zhang (T)

Agronomy Department, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, 310029, China.

Yan Hu (Y)

Agronomy Department, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, 310029, China. 0016211@zju.edu.cn.

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Classifications MeSH