ArticleFrontiers in genetics2022
Consensus genomic regions associated with grain protein content in hexaploid and tetraploid wheat.
Article in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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15 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.
- Deciphering key genomic regions controlling flag leaf size in wheat via integration of meta-QTL and in silico transcriptome assessment.BMC genomics · 2023Pooled it
- Stable QTL Identification and KASP Marker Development for Grain Protein Content in Wheat Using a Linmai2/Zhong892 RIL Population.Plants (Basel, Switzerland) · 2026Article
- Uncovering the Genetic Basis of Grain Protein Content and Wet Gluten Content in Common Wheat (Plants (Basel, Switzerland) · 2026Article
- Uncover the genetic basis of processing quality related traits in common wheat (Frontiers in plant science · 2026Article
- An introgression from Triticum timopheevii reduces grain protein content in winter wheat populations.The plant genome · 2025Article
- Identification of Quantitative Trait Loci for Grain Quality Traits in a Pamyati Azieva × Paragon Bread Wheat Mapping Population Grown in Kazakhstan.Plants (Basel, Switzerland) · 2025Article
- Identification and characterization of QTL for grain protein content derived from the D genome of allohexaploid wheat.Frontiers in plant science · 2025Article
- GWAS in a Collection of Bulgarian Old and Modern Bread Wheat Accessions Uncovers Novel Genomic Loci for Grain Protein Content and Thousand Kernel Weight.Plants (Basel, Switzerland) · 2024Article
- A novel variation ofMolecular breeding : new strategies in plant improvement · 2024Article
- Meta-QTL analysis and candidate genes for quality traits, mineral content, and abiotic-related traits in wild emmer.Frontiers in plant science · 2024Article
- Identification of QTLs associated with seed protein concentration in two diverse recombinant inbred line populations of pea.Frontiers in plant science · 2024Article
- Meta-QTL mapping for wheat thousand kernel weight.Frontiers in plant science · 2024Article
- Meta-QTL analysis in wheat: progress, challenges and opportunities.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023Review
- Nutritional Genomic Approach for Improving Grain Protein Content in Wheat.Foods (Basel, Switzerland) · 2023Article
- Application of potassium nitrate and salicylic acid improves grain yield and related traits by delaying leaf senescence inFrontiers in plant science · 2023Article
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A meta-analysis of QTLs associated with grain protein content (GPC) was conducted in hexaploid and tetraploid wheat to identify robust and stable meta-QTLs (MQTLs). For this purpose, as many as 459 GPC-related QTLs retrieved from 48 linkage-based QTL mapping studies were projected onto the newly developed wheat consensus map. The analysis resulted in the prediction of 57 MQTLs and 7 QTL hotspots located on all wheat chromosomes (except chromosomes 1D and 4D) and the average confidence interval reduced 2.71-fold in the MQTLs and QTL hotspots compared to the initial QTLs. The physical regions occupied by the MQTLs ranged from 140 bp to 224.02 Mb with an average of 15.2 Mb, whereas the physical regions occupied by QTL hotspots ranged from 1.81 Mb to 36.03 Mb with a mean of 8.82 Mb. Nineteen MQTLs and two QTL hotspots were also found to be co-localized with 45 significant SNPs identified in 16 previously published genome-wide association studies in wheat. Candidate gene (CG) investigation within some selected MQTLs led to the identification of 705 gene models which also included 96 high-confidence CGs showing significant expressions in different grain-related tissues and having probable roles in GPC regulation. These significantly expressed CGs mainly involved the genes/gene families encoding for the following proteins: aminotransferases, early nodulin 93, glutamine synthetases, invertase/pectin methylesterase inhibitors, protein BIG GRAIN 1-like, cytochrome P450, glycosyl transferases, hexokinases, small GTPases, UDP-glucuronosyl/UDP-glucosyltransferases, and EamA, SANT/Myb, GNAT, thioredoxin, phytocyanin, and homeobox domains containing proteins. Further, eight genes including
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