ArticlePhysiology and molecular biology of plants : an international journal of functional plant biology2021
Meta-QTLs, ortho-MQTLs and candidate genes for the traits contributing to salinity stress tolerance in common wheat (
Article in Physiology and molecular biology of plants : an international journal of functional plant biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 10 of them syntheses that pooled it.
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Who cites it
23 citing papers in PubMed, 10 syntheses or guidelines pooled it, 46 citations in OpenAlex.
- Meta-analysis of QTLs for drought, heat, and salinity tolerance identifies high-confidence MQTLs and candidate genes in chickpea (Journal of biosciences · 2025Pooled it
- Meta QTL analysis for dissecting abiotic stress tolerance in chickpea.BMC genomics · 2024Pooled it
- Meta-analysis of the quantitative trait loci associated with agronomic traits, fertility restoration, disease resistance, and seed quality traits in pigeonpea (Cajanus cajan L.).The plant genome · 2023Pooled it
- Genome-Wide Meta-Analysis of QTLs Associated with Root Traits and Implications for Maize Breeding.International journal of molecular sciences · 2023Pooled it
- Deciphering key genomic regions controlling flag leaf size in wheat via integration of meta-QTL and in silico transcriptome assessment.BMC genomics · 2023Pooled it
- Identification of quantitative trait loci (QTL) and meta-QTL analysis for kernel size-related traits in wheat (Triticum aestivum L.).BMC plant biology · 2022Pooled it
- Consensus genomic regions associated with multiple abiotic stress tolerance in wheat and implications for wheat breeding.Scientific reports · 2022Pooled it
- Meta-QTLs for multiple disease resistance involving three rusts in common wheat (Triticum aestivum L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022Pooled it
- Pooled it
- Genome-wide meta-analysis of QTL for morphological related traits of flag leaf in bread wheat.PloS one · 2022Pooled it
- Genomic insights of lipid content in rice bran oil through M-QTL analysis.Scientific reports · 2026Article
- Integrated meta-QTL and in silico transcriptome assessment pinpoint major genomic regions responsible for spike length in wheat (Triticum aestivum L.).The plant genome · 2024Article
- Defining genomic landscape for identification of potential candidate resistance genes associated with major rice diseases through MetaQTL analysis.Journal of biosciences · 2024Article
- Exploring the genetic architecture of powdery mildew resistance in wheat through QTL meta-analysis.Frontiers in plant science · 2024Article
- Meta-QTL analysis in wheat: progress, challenges and opportunities.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023Review
- Unraveling genomic regions and candidate genes for multiple disease resistance in upland cotton using meta-QTL analysis.Heliyon · 2023Article
- Comprehensive meta-QTL analysis for dissecting the genetic architecture of stripe rust resistance in bread wheat.BMC genomics · 2023Article
- Meta-QTLs, ortho-meta QTLs and related candidate genes for yield and its component traits under water stress in wheat (Physiology and molecular biology of plants : an international journal of functional plant biology · 2023Article
- QTL and Candidate Genes: Techniques and Advancement in Abiotic Stress Resistance Breeding of Major Cereals.International journal of molecular sciences · 2022Review
- Comparative transcriptome analysis of synthetic and common wheat in response to salt stress.Scientific reports · 2022Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A meta-analysis of QTLs associated with the traits contributing to salinity tolerance was undertaken in wheat to detect consensus and robust meta-QTLs (MQTLs) using 844 known QTLs retrieved from 26 earlier studies. A consensus map with a total length of 4621.56 cM including 7710 markers was constructed using 21 individual linkage maps and three previously published integrated genetic maps. Out of 844 QTLs, 571 QTLs were projected on the consensus map which gave origin to 100 MQTLs. Interestingly, 49 MQTLs were co-located with marker-trait associations reported in wheat genome-wide association studies for the traits contributing to salinity stress tolerance. Five potential MQTLs associated with the major salinity-responsive traits were also identified to be utilized in the breeding programme. In the resulted MQTLs, the average confidence interval (CI, 3.58 cM) was reduced up to 4.16 folds compared to the mean CI of the initial QTLs. Furthermore, as many as 617 gene models including 81 most likely candidate genes (CGs) were identified in the high confidence MQTL regions. These most likely CGs encoded proteins mainly belonging to the following families: B-box-type zinc finger, cytochrome P450 protein, pentatricopeptide repeat, phospholipid/glycerol acyltransferase, F-box protein, small auxin-up RNA, UDP-glucosyltransferase, glutathione S-transferase protein, etc. In addition, ortho-MQTL analysis based on synteny among wheat, rice and barley was also performed which permitted the identification of six ortho-MQTLs among these three cereals. This meta-analysis defines a genome-wide landscape on the most stable and consistent loci associated with reliable molecular markers and candidate genes for salinity tolerance in wheat. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12298-021-01112-0.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.