SynthesisJournal of biosciences2025
Meta-analysis of QTLs for drought, heat, and salinity tolerance identifies high-confidence MQTLs and candidate genes in chickpea (
Synthesis in Journal of biosciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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1 citing paper in PubMed.
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Authors and funding
10 authors.
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Abstract
A meta-analysis of 712 quantitative trait loci (QTLs) associated with traits conferring tolerance to drought, heat, and salinity stress was conducted in chickpea. Of these, 588 QTLs were successfully projected onto a high-density consensus map saturated with 14,246 markers. The resulting meta-QTLs (MQTLs) (54) had an average confidence interval (CI) of 1.01 cM, which was 3.49 times narrower than the CI of the original QTLs (3.53 cM) used in the meta-analysis. Significant single-nucleotide polymorphisms (SNPs) or marker-trait associations identified in previous genome-wide association studies were found to coincide with 36 of these MQTLs. Eleven MQTLs were identified as breeder's MQTLs due to their significant contribution to phenotypic variance (>10%), modest CI (<0.5 cM), and the inclusion of more than 10 QTLs. Candidate gene mining within MQTL regions revealed 49 high-confidence candidate genes associated with various abiotic stresses. Additionally, synteny and ortho-MQTL analyses among chickpea and two other legume crops, pigeon pea and pea, identified 23 ortho-MQTL regions. The markers associated with MQTLs can be utilized for MQTL-assisted breeding and to enhance the prediction accuracy of genomic selection in chickpea.
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