» Articles » PMID: 36703107

QTL Mapping and Candidate Gene Analysis for Yield and Grain Weight/size in Tartary Buckwheat

Overview
Journal BMC Plant Biol
Publisher Biomed Central
Specialty Biology
Date 2023 Jan 26
PMID 36703107
Authors
Affiliations
Soon will be listed here.
Abstract

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.

Citing Articles

QTL Mapping and Candidate Gene Analysis for Starch-Related Traits in Tartary Buckwheat ( (L.) Gaertn).

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.


Genetic analysis of yield components in buckwheat using high-throughput sequencing analysis and wild resource populations.

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.

References
1.
Fabjan N, Rode J, Kosir I, Wang Z, Zhang Z, Kreft I . Tartary buckwheat (Fagopyrum tataricum Gaertn.) as a source of dietary rutin and quercitrin. J Agric Food Chem. 2003; 51(22):6452-5. DOI: 10.1021/jf034543e. View

2.
Zhang L, Ma M, Liu L . Identification of Genetic Locus Underlying Easy Dehulling in Rice-Tartary for Easy Postharvest Processing of Tartary Buckwheat. Genes (Basel). 2020; 11(4). PMC: 7231119. DOI: 10.3390/genes11040459. View

3.
Yang C, Zhang L, Jia A, Rong T . Identification of QTL for maize grain yield and kernel-related traits. J Genet. 2016; 95(2):239-47. DOI: 10.1007/s12041-016-0628-z. View

4.
Kreft M . Buckwheat phenolic metabolites in health and disease. Nutr Res Rev. 2016; 29(1):30-9. DOI: 10.1017/S0954422415000190. View

5.
Zhang K, He M, Fan Y, Zhao H, Gao B, Yang K . Resequencing of global Tartary buckwheat accessions reveals multiple domestication events and key loci associated with agronomic traits. Genome Biol. 2021; 22(1):23. PMC: 7802136. DOI: 10.1186/s13059-020-02217-7. View