QTL Mapping and Candidate Gene Analysis for Yield and Grain Weight/size in Tartary Buckwheat
Overview
Authors
Affiliations
Background: Grain weight/size influences not only grain yield (GY) but also nutritional and appearance quality and consumer preference in Tartary buckwheat. The identification of quantitative trait loci (QTLs)/genes for grain weight/size is an important objective of Tartary buckwheat genetic research and breeding programs.
Results: Herein, we mapped the QTLs for GY, 1000-grain weight (TGW), grain length (GL), grain width (GW) and grain length-width ratio (L/W) in four environments using 221 recombinant inbred lines (XJ-RILs) derived from a cross of 'Xiaomiqiao × Jinqiaomai 2'. In total, 32 QTLs, including 7 for GY, 5 for TGW, 6 for GL, 11 for GW and 3 for L/W, were detected and distributed in 24 genomic regions. Two QTL clusters, qClu-1-3 and qClu-1-5, located on chromosome Ft1, were revealed to harbour 7 stable major QTLs for GY (qGY1.2), TGW (qTGW1.2), GL (qGL1.1 and qGL1.4), GW (qGW1.7 and qGW1.10) and L/W (qL/W1.2) repeatedly detected in three and above environments. A total of 59 homologues of 27 known plant grain weight/size genes were found within the physical intervals of qClu-1-3 and qClu-1-5. Six homologues, FtBRI1, FtAGB1, FtTGW6, FtMADS1, FtMKK4 and FtANT, were identified with both non-synonymous SNP/InDel variations and significantly differential expression levels between the two parents, which may play important roles in Tatary buckwheat grain weight/size control and were chosen as core candidate genes for further investigation.
Conclusions: Two stable major QTL clusters related to grain weight/size and six potential key candidate genes were identified by homology comparison, SNP/InDel variations and qRT‒qPCR analysis between the two parents. Our research provides valuable information for improving grain weight/size and yield in Tartary buckwheat breeding.
Huang J, Liu F, Ren R, Deng J, Zhu L, Li H Int J Mol Sci. 2024; 25(17).
PMID: 39273191 PMC: 11395678. DOI: 10.3390/ijms25179243.
Zhang X, Yang M, Liu Z, Yang F, Zhang L, Guo Y Physiol Mol Biol Plants. 2024; 30(8):1313-1328.
PMID: 39184561 PMC: 11341512. DOI: 10.1007/s12298-024-01491-0.
Triumphs of genomic-assisted breeding in crop improvement.
Mangal V, Verma L, Singh S, Saxena K, Roy A, Karn A Heliyon. 2024; 10(15):e35513.
PMID: 39170454 PMC: 11336775. DOI: 10.1016/j.heliyon.2024.e35513.