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Identification of QTLs Associated With Agronomic Traits in Tobacco via a Biparental Population and an Eight-Way MAGIC Population

Authors :
Yutong Liu
Guangdi Yuan
Huan Si
Ying Sun
Zipeng Jiang
Dan Liu
Caihong Jiang
Xuhao Pan
Jun Yang
Zhaopeng Luo
Jianfeng Zhang
Min Ren
Yi Pan
Kefan Sun
He Meng
Liuying Wen
Zhiliang Xiao
Quanfu Feng
Aiguo Yang
Lirui Cheng
Source :
Frontiers in Plant Science. 13
Publication Year :
2022
Publisher :
Frontiers Media SA, 2022.

Abstract

Agronomic traits such as plant height (PH), leaf number (LN), leaf length (LL), and leaf width (LW), which are closely related to yield and quality, are important in tobacco (Nicotiana tabacum L.). To identify quantitative trait loci (QTLs) associated with agronomic traits in tobacco, 209 recombinant inbred lines (RILs) and 537 multiparent advanced generation intercross (MAGIC) lines were developed. The biparental RIL and MAGIC lines were genotyped using a 430 K single-nucleotide polymorphism (SNP) chip assay, and their agronomic traits were repeatedly evaluated under different conditions. A total of 43 QTLs associated with agronomic traits were identified through a combination of linkage mapping (LM) and association mapping (AM) methods. Among these 43 QTLs, three major QTLs, namely qPH13-3, qPH17-1, and qLW20-1, were repeatedly identified by the use of various genetically diverse populations across different environments. The candidate genes for these major QTLs were subsequently predicted. Validation and utilization of the major QTL qLW20-1 for the improvement of LW in tobacco were investigated. These results could be applied to molecular marker-assisted selection (MAS) for breeding important agronomic traits in tobacco.

Subjects

Subjects :
Plant Science

Details

ISSN :
1664462X
Volume :
13
Database :
OpenAIRE
Journal :
Frontiers in Plant Science
Accession number :
edsair.doi...........0406b0a1cfb03cb2ae263d4d0d48ddeb
Full Text :
https://doi.org/10.3389/fpls.2022.878267