Unravelling consensus genomic regions associated with quality traits in wheat using meta-analysis of quantitative trait loci
- PMID: 35508739
- DOI: 10.1007/s00425-022-03904-4
Unravelling consensus genomic regions associated with quality traits in wheat using meta-analysis of quantitative trait loci
Abstract
Meta-analysis in wheat for three major quality traits identified 110 meta-QTL (MQTL) with reduced confidence interval (CI). Five GWAS validated MQTL (viz., 1A.1, 1B.2, 3B.4, 5B.2, and 6B.2), each involving more than 20 initial QTL and reduced CI (95%) (< 2 cM), were selected for quality breeding programmes. Functional characterization including candidate gene mining and expression analysis discovered 44 high confidence candidate genes associated with quality traits. A meta-analysis of quantitative trait loci (QTL) associated with dough rheology properties, nutritional traits, and processing quality traits was conducted in wheat. For this purpose, as many as 2458 QTL were collected from 50 interval mapping studies published during 2013-2020. Of the total QTL, 1126 QTL were projected onto the consensus map saturated with 249,603 markers which led to the identification of 110 meta-QTL (MQTL). These MQTL exhibited an 18.84-fold reduction in the average CI compared to the average CI of the initial QTL (ranging from 14.87 to 95.55 cM with an average of 40.35 cM). Of the 110, 108 MQTL were physically anchored to the wheat reference genome, including 51 MQTL verified with marker-trait associations (MTAs) reported from earlier genome-wide association studies. Candidate gene (CG) mining allowed the identification of 2533 unique gene models from the MQTL regions. In-silico expression analysis discovered 439 differentially expressed gene models with > 2 transcripts per million expressions in grains and related tissues, which also included 44 high-confidence CGs involved in the various cellular and biochemical processes related to quality traits. Nine functionally characterized wheat genes associated with grain protein content, high-molecular-weight glutenin, and starch synthase enzymes were also found to be co-localized with some of the MQTL. Synteny analysis between wheat and rice MQTL regions identified 23 wheat MQTL syntenic to 16 rice MQTL associated with quality traits. Furthermore, 64 wheat orthologues of 30 known rice genes were detected in 44 MQTL regions. Markers flanking the MQTL identified in the present study can be used for marker-assisted breeding and as fixed effects in the genomic selection models for improving the prediction accuracy during quality breeding. Wheat orthologues of rice genes and other CGs available from MQTLs can be promising targets for further functional validation and to better understand the molecular mechanism underlying the quality traits in wheat.
Keywords: Candidate genes; Differentially expressed genes; GWAS; Meta-QTL; Orthologous; Synteny.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
Similar articles
-
Large-scale integration of meta-QTL and genome-wide association study identifies genomic regions and candidate genes for photosynthetic efficiency traits in bread wheat.BMC Genomics. 2025 Mar 22;26(1):284. doi: 10.1186/s12864-025-11472-6. BMC Genomics. 2025. PMID: 40121401 Free PMC article.
-
Large-scale integration of meta-QTL and genome-wide association study discovers the genomic regions and candidate genes for yield and yield-related traits in bread wheat.Theor Appl Genet. 2021 Sep;134(9):3083-3109. doi: 10.1007/s00122-021-03881-4. Epub 2021 Jun 17. Theor Appl Genet. 2021. PMID: 34142166
-
Consensus genomic regions for grain quality traits in wheat revealed by Meta-QTL analysis and in silico transcriptome integration.Plant Genome. 2023 Jun;16(2):e20336. doi: 10.1002/tpg2.20336. Epub 2023 May 5. Plant Genome. 2023. PMID: 37144681
-
Meta-QTL analysis in wheat: progress, challenges and opportunities.Theor Appl Genet. 2023 Nov 17;136(12):247. doi: 10.1007/s00122-023-04490-z. Theor Appl Genet. 2023. PMID: 37975911 Review.
-
Meta-analysis and co-expression analysis revealed stable QTL and candidate genes conferring resistances to Fusarium and Gibberella ear rots while reducing mycotoxin contamination in maize.Front Plant Sci. 2022 Oct 31;13:1050891. doi: 10.3389/fpls.2022.1050891. eCollection 2022. Front Plant Sci. 2022. PMID: 36388551 Free PMC article.
Cited by
-
Unravelling the genetic framework associated with grain quality and yield-related traits in maize (Zea mays L.).Front Genet. 2023 Aug 7;14:1248697. doi: 10.3389/fgene.2023.1248697. eCollection 2023. Front Genet. 2023. PMID: 37609038 Free PMC article.
-
Comprehensive meta-QTL analysis for dissecting the genetic architecture of stripe rust resistance in bread wheat.BMC Genomics. 2023 May 12;24(1):259. doi: 10.1186/s12864-023-09336-y. BMC Genomics. 2023. PMID: 37173660 Free PMC article.
-
Meta-analysis of seed weight QTLome using a consensus and highly dense genetic map in Brassica napus L.Theor Appl Genet. 2023 Jun 24;136(7):161. doi: 10.1007/s00122-023-04401-2. Theor Appl Genet. 2023. PMID: 37354229
-
Meta-QTLs, ortho-meta QTLs and related candidate genes for yield and its component traits under water stress in wheat (Triticum aestivum L.).Physiol Mol Biol Plants. 2023 Apr;29(4):525-542. doi: 10.1007/s12298-023-01301-z. Epub 2023 Apr 11. Physiol Mol Biol Plants. 2023. PMID: 37187772 Free PMC article.
-
Consensus genomic regions associated with multiple abiotic stress tolerance in wheat and implications for wheat breeding.Sci Rep. 2022 Aug 11;12(1):13680. doi: 10.1038/s41598-022-18149-0. Sci Rep. 2022. PMID: 35953529 Free PMC article.
References
-
- Acuña-Galindo MA, Mason RE, Subramanian NK, Hays DB (2015) Meta-analysis of wheat QTL regions associated with adaptation to drought and heat stress. Crop Sci 55:477–492. https://doi.org/10.2135/CROPSCI2013.11.0793 - DOI
-
- Ali AS, Elozeiri AA (2017) Metabolic processes during seed germination. Adv Seed Biol. https://doi.org/10.5772/INTECHOPEN.70653 - DOI
-
- Anjum FM, Khan MR, Din A, Saeed M, Pasha I, Arshad MU (2007) Wheat gluten: high molecular weight glutenin subunits structure, genetics, and relation to dough elasticity. J Food Sci 72:R56–R63. https://doi.org/10.1111/J.1750-3841.2007.00292.X - DOI - PubMed
-
- Avni R, Oren L, Shabtay G, Assili S, Pozniak C, Hale I, Ben-David R, Peleg Z, Distelfeld A (2018) Genome based meta-QTL analysis of grain weight in tetraploid wheat identifies rare alleles of GRF4 associated with larger grains. Genes (Basel) 9:636. https://doi.org/10.3390/GENES9120636 - DOI
-
- Barrero JM, Cavanagh C, Verbyla KL, Tibbits JFG, Verbyla AP, Huang BE, Rosewarne GM, Stephen S, Wang P, Whan A, Rigault P, Hayden MJ, Gubler F (2015) Transcriptomic analysis of wheat near-isogenic lines identifies PM19-A1 and A2 as candidates for a major dormancy QTL. Genome Biol 161(16):1–18. https://doi.org/10.1186/S13059-015-0665-6 - DOI
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources