ArticleBMC plant biology2015
Two key genomic regions harbour QTLs for salinity tolerance in ICCV 2 × JG 11 derived chickpea (Cicer arietinum L.) recombinant inbred lines.
Article in BMC plant biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 2 of them syntheses that pooled it.
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36 citing papers in PubMed, 2 syntheses or guidelines pooled it, 84 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
- Epigenomics as Potential Tools for Enhancing Magnitude of Breeding Approaches for Developing Climate Resilient Chickpea.Frontiers in genetics · 2022Pooled it
- Chickpea (Foods (Basel, Switzerland) · 2026Review
- Multi-model genome-wide association analysis of agronomic traits in a Kabuli chickpea MAGIC-subset population (Frontiers in plant science · 2026Article
- A chickpea MAGIC population to dissect the genetics of complex traits.The plant genome · 2025Article
- Advancing Chickpea Breeding: Omics Insights for Targeted Abiotic Stress Mitigation and Genetic Enhancement.Biochemical genetics · 2025Review
- Development and evaluation of Fusarium wilt-resistant and high-yielding chickpea advanced breeding line, KCD 11.The plant genome · 2024Article
- Impact of low light intensity on biomass partitioning and genetic diversity in a chickpea mapping population.Frontiers in plant science · 2024Article
- Network interactions with functional roles and evolutionary relationships for BURP domain-containing proteins in chickpea and model species.Bioinformation · 2023Article
- Molecular Breeding and Drought Tolerance in Chickpea.Life (Basel, Switzerland) · 2022Review
- An integrated transcriptome mapping the regulatory network of coding and long non-coding RNAs provides a genomics resource in chickpea.Communications biology · 2022Article
- Comprehensive transcriptomic analysis of two RIL parents with contrasting salt responsiveness identifies polyadenylated and non-polyadenylated flower lncRNAs in chickpea.Plant biotechnology journal · 2022Article
- A Comprehensive Review on Chickpea (International journal of molecular sciences · 2022Review
- Recent advancement in OMICS approaches to enhance abiotic stress tolerance in legumes.Frontiers in plant science · 2022Review
- Genetic, Epigenetic, Genomic and Microbial Approaches to Enhance Salt Tolerance of Plants: A Comprehensive Review.Biology · 2021Review
- Salinity tolerance mechanisms and their breeding implications.Journal, genetic engineering & biotechnology · 2021Review
- Review
- Introgression of "QTL-hotspot" region enhances drought tolerance and grain yield in three elite chickpea cultivars.The plant genome · 2021Article
- Discerning molecular diversity and association mapping for phenological, physiological and yield traits under high temperature stress in chickpea (Journal of genetics · 2021Article
- Genome-wide association analysis of chickpea germplasms differing for salinity tolerance based on DArTseq markers.PloS one · 2021Article
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Authors and funding
10 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAlthough chickpea (Cicer arietinum L.), an important food legume crop, is sensitive to salinity, considerable variation for salinity tolerance exists in the germplasm. To improve any existing cultivar, it is important to understand the genetic and physiological mechanisms underlying this tolerance.
resultsIn the present study, 188 recombinant inbred lines (RILs) derived from the cross ICCV 2 × JG 11 were used to assess yield and related traits in a soil with 0 mM NaCl (control) and 80 mM NaCl (salinity) over two consecutive years. Salinity significantly (P < 0.05) affected almost all traits across years and yield reduction was in large part related to a reduction in seed number but also a reduction in above ground biomass. A genetic map was constructed using 56 polymorphic markers (28 simple sequence repeats; SSRs and 28 single nucleotide polymorphisms; SNPs). The QTL analysis revealed two key genomic regions on CaLG05 (28.6 cM) and on CaLG07 (19.4 cM), that harboured QTLs for six and five different salinity tolerance associated traits, respectively, and imparting either higher plant vigour (on CaLG05) or higher reproductive success (on CaLG07). Two major QTLs for yield in the salinity treatment (explaining 12 and 17% of the phenotypic variation) were identified within the two key genomic regions. Comparison with already published chickpea genetic maps showed that these regions conferred salinity tolerance across two other populations and the markers can be deployed for enhancing salinity tolerance in chickpea. Based on the gene ontology annotation, forty eight putative candidate genes responsive to salinity stress were found on CaLG05 (31 genes) and CaLG07 (17 genes) in a distance of 11.1 Mb and 8.2 Mb on chickpea reference genome. Most of the genes were known to be involved in achieving osmoregulation under stress conditions.
conclusionIdentification of putative candidate genes further strengthens the idea of using CaLG05 and CaLG07 genomic regions for marker assisted breeding (MAB). Further fine mapping of these key genomic regions may lead to novel gene identification for salinity stress tolerance in chickpea.
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