Abstract
Background
As one of the most important factors of the japonica rice plant, leaf shape affects the photosynthesis and carbohydrate accumulation directly. Mining and using new leaf shape related genes/QTLs can further enrich the theory of molecular breeding and accelerate the breeding process of japonica rice.
Methods
In the present study, 2 RILs and a natural population with 295 japonica rice varieties were used to map QTLs for flag leaf length (FL), flag leaf width (FW) and flag leaf area (FLA) by linkage analysis and genome-wide association study (GWAS) throughout 2 years.
Results
A total of 64 QTLs were detected by 2 ways, and pleiotropic QTLs qFL2 (Chr2_33,332,579) and qFL10 (Chr10_10,107,835; Chr10_10,230,100) consisted of overlapping QTLs mapped by linkage analysis and GWAS throughout the 2 years were identified.
Conclusions
The candidate genes LOC_Os02g54254, LOC_Os02g54550, LOC_Os10g20160, LOC_Os10g20240, LOC_Os10g20260 were obtained, filtered by linkage disequilibrium (LD), and haplotype analysis. LOC_Os10g20160 (SD-RLK-45) showed outstanding characteristics in quantitative real-time PCR (qRT-PCR) analysis in leaf development period, belongs to S-domain receptor-like protein kinases gene and probably to be a main gene regulating flag leaf width of japonica rice. The results of this study provide valuable resources for mining the main genes/QTLs of japonica rice leaf development and molecular breeding of japonica rice ideal leaf shape.
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Funding
This research was supported by the Heilongjiang Provincial governmental Postdoctoral Foundation of China (LBH-Z16188), the Natural Science Foundation Joint Guide Project of Heilongjiang (LH2019C035) and the Province-Academy Science and Technology Cooperation Project of Heilongjiang (YS20B05). Application R & D Project of Heilongjiang Academy of Agricultural Science (2021YYYF037).
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JW and TW were the main writer of the whole paper. QW, XT, YR, HZ, KL responsible for field data collection. LY mainly engaged in data statistics and data processing. HJ responsible for sequencing data sorting and analysis. YL, QL proofread the full text. DZ, HZ guided the technical route of this study.
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Wang, J., Wang, T., Wang, Q. et al. QTL mapping and candidate gene mining of flag leaf size traits in Japonica rice based on linkage mapping and genome-wide association study. Mol Biol Rep 49, 63–71 (2022). https://doi.org/10.1007/s11033-021-06842-8
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DOI: https://doi.org/10.1007/s11033-021-06842-8