4.5 Article

High-resolution genetic map construction and QTL analysis of important fiber traits in kenaf using RAD-seq

期刊

SOUTH AFRICAN JOURNAL OF BOTANY
卷 153, 期 -, 页码 46-52

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ELSEVIER
DOI: 10.1016/j.sajb.2022.12.016

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Qtl mapping; Rad-seq; Snp markers; Kenaf fiber

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This study found that fiber yield and quality are controlled by multiple genes and correlated with traits such as plant height, fresh bast weight, and dry bast weight. QTL mapping was used to successfully map SNP markers onto 18 different linkage groups and identify 6 QTLs related to fiber yield and quality. This is the first study to map QTLs for fiber yield and quality, providing valuable insights into the molecular genetic basis of these traits.
Kenaf fiber extracted from kenaf stem bast is an important natural fiber. The genetic basis of fiber yield and quality is poorly understood. In the present study, Fiber yield and quality phenotypic data showed continu-ous positive distribution or positively skewed distribution. Fiber yield traits and its related traits including plant height, fresh bast weight, dry bast weight showed a positive correlation. However, there was a negative correlation between fiber weight and fiber count. The results showed that the fiber yield and quality agro-nomic traits are quantitative traits controlled by multiple genes. Quantitative trait locus (QTL) mapping is a useful method for revealing the mechanism of complex genetic traits and identifying new genomic informa-tion to accelerate crop improvement. In this study, a total of 1,997 polymorphic SNP markers were success-fully mapped onto 18 different linkage groups. Meanwhile six QTLs were identified based on the genetic map using the multiple QTL mapping (MQM) method, which were assigned to three linkage groups, LG16, LG8, and LG3. QTL-Plant hight, QTL-Fresh bast weight, QTL-Dry bast weight and QTL-fiber weight were related to fiber yield, while QTL-fiber strength and QTL-fiber count were related to fiber quality. This is the first study of its kind to map QTL of fiber yield and fiber quality, which will facilitate further understanding of the molec-ular genetic basis of these traits. However, there are limitations regarding the utilization of this map because several large gaps remain in some linkage groups. Therefore, additional markers need to be developed to fur-ther narrow these regions.(c) 2022 SAAB. Published by Elsevier B.V. All rights reserved.

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