QTL Mapping for Leaf Area of Tea Plants (Camellia sinensis) Based on a High-Quality Genetic Map Constructed by Whole Genome Resequencing

High-quality genetic maps play important roles in QTL mapping and molecular marker-assisted breeding. Tea leaves are not only important vegetative organs but are also the organ for harvest with important economic value. However, the key genes and genetic mechanism of regulating leaf area have not be...

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Published inFrontiers in plant science Vol. 12; p. 705285
Main Authors An, Yanlin, Chen, Linbo, Tao, Lingling, Liu, Shengrui, Wei, Chaoling
Format Journal Article
LanguageEnglish
Published Switzerland Frontiers Media S.A 29.07.2021
Subjects
Camellia sinensis
genetic map
leaf area
Plant Science
QTL mapping
whole-genome resequencing
Camellia sinensis
genetic map
leaf area
QTL mapping
whole-genome resequencing
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Summary:High-quality genetic maps play important roles in QTL mapping and molecular marker-assisted breeding. Tea leaves are not only important vegetative organs but are also the organ for harvest with important economic value. However, the key genes and genetic mechanism of regulating leaf area have not been clarified. In this study, we performed whole-genome resequencing on “Jinxuan,” “Yuncha 1” and their 96 F1 hybrid offspring. From the 1.84 Tb of original sequencing data, abundant genetic variation loci were identified, including 28,144,625 SNPs and 2,780,380 indels. By integrating the markers of a previously reported genetic map, a high-density genetic map consisting of 15 linkage groups including 8,956 high-quality SNPs was constructed. The total length of the genetic map is 1,490.81 cM, which shows good collinearity with the genome. A total of 25 representative markers (potential QTLs) related to leaf area were identified, and there were genes differentially expressed in large and small leaf samples near these markers. GWAS analysis further verified the reliability of QTL mapping. Thirty-one pairs of newly developed indel markers located near these potential QTLs showed high polymorphism and had good discrimination between large and small leaf tea plant samples. Our research will provide necessary support and new insights for tea plant genetic breeding, quantitative trait mapping and yield improvement.
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Edited by: Hirokazu Tsukaya, The University of Tokyo, Japan
These authors have contributed equally to this work
Reviewed by: Eiji Nitasaka, Kyushu University, Japan; Sean Mayes, University of Nottingham, United Kingdom
This article was submitted to Plant Development and EvoDevo, a section of the journal Frontiers in Plant Science
ISSN:1664-462X
1664-462X
DOI:10.3389/fpls.2021.705285