ArticleFrontiers in plant science2016
EcoTILLING-Based Association Mapping Efficiently Delineates Functionally Relevant Natural Allelic Variants of Candidate Genes Governing Agronomic Traits in Chickpea.
Article in Frontiers in plant science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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19 citing papers in PubMed, 54 citations in OpenAlex.
- Pan-transcriptome analysis of diverse chickpea accessions reveals specific expression patterns and genetic variations associated with agronomic traits.Plant molecular biology · 2026Article
- Multi-model genome-wide association analysis of agronomic traits in a Kabuli chickpea MAGIC-subset population (Frontiers in plant science · 2026Article
- Research and developmental strategies to hasten the improvement of orphan crops.GM crops & food · 2025Review
- 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
- Article
- Reverse genetic approaches for breeding nutrient-rich and climate-resilient cereal and food legume crops.Heredity · 2022Article
- Genome, Transcriptome, and Germplasm Sequencing Uncovers Functional Variation in the Warm-Season Grain Legume HorsegramFrontiers in plant science · 2021Article
- Accurate, Efficient and User-Friendly Mutation Calling and Sample Identification for TILLING Experiments.Frontiers in genetics · 2021Article
- Breeding and biotechnological interventions for trait improvement: status and prospects.Planta · 2020Review
- DNA methylation reprogramming during seed development and its functional relevance in seed size/weight determination in chickpea.Communications biology · 2020Article
- Genome-wide cis-regulatory signatures for modulation of agronomic traits as exemplified by drought yield index (DYI) in chickpea.Functional & integrative genomics · 2019Article
- Review
- Article
- Genome-wide discovery of DNA polymorphisms among chickpea cultivars with contrasting seed size/weight and their functional relevance.Scientific reports · 2018Article
- Genome-wide generation and genotyping of informative SNPs to scan molecular signatures for seed yield in chickpea.Scientific reports · 2018Article
- Current advances in chickpea genomics: applications and future perspectives.Plant cell reports · 2018Review
- Association of functional markers with flowering time in lentil.Journal of applied genetics · 2018Article
- Potential Uses of Wild Germplasms of Grain Legumes for Crop Improvement.International journal of molecular sciences · 2017Review
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Authors and funding
8 authors at 4 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
The large-scale mining and high-throughput genotyping of novel gene-based allelic variants in natural mapping population are essential for association mapping to identify functionally relevant molecular tags governing useful agronomic traits in chickpea. The present study employs an alternative time-saving, non-laborious and economical pool-based EcoTILLING approach coupled with agarose gel detection assay to discover 1133 novel SNP allelic variants from diverse coding and regulatory sequence components of 1133 transcription factor (TF) genes by genotyping in 192 diverse desi and kabuli chickpea accessions constituting a seed weight association panel. Integrating these SNP genotyping data with seed weight field phenotypic information of 192 structured association panel identified eight SNP alleles in the eight TF genes regulating seed weight of chickpea. The associated individual and combination of all SNPs explained 10-15 and 31% phenotypic variation for seed weight, respectively. The EcoTILLING-based large-scale allele mining and genotyping strategy implemented for association mapping is found much effective for a diploid genome crop species like chickpea with narrow genetic base and low genetic polymorphism. This optimized approach thus can be deployed for various genomics-assisted breeding applications with optimal expense of resources in domesticated chickpea. The seed weight-associated natural allelic variants and candidate TF genes delineated have potential to accelerate marker-assisted genetic improvement of chickpea.
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