Evidence map›Paper›PMID 39474215›Full record

ArticleFrontiers in plant science2024

Genome-wide association mapping identifies novel SNPs for root nodulation and agronomic traits in chickpea.

B S Chandana, Rohit Kumar Mahto, Rajesh Kumar Singh, Aditi Bhandari, Gitanjali Tandon, K K Singh, Sunita Kushwah, Gera Roopa Lavanya, Mir Asif Iquebal, Neelu Jain and 4 more

Abstract read
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Article in Frontiers in plant science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Genomic dissection of phenological and yield-associated traits in lentil (Physiology and molecular biology of plants : an international journal of functional plant biology · 2026
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4 · The record

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5 · Who and what money

Authors and funding

14 authors.

B S ChandanaDivision of Genetics, Indian Agricultural Statistics Research Institute (ICAR)-Indian Agricultural Research Institute, New Delhi, India.
Rohit Kumar MahtoDivision of Genetics, Indian Agricultural Statistics Research Institute (ICAR)-Indian Agricultural Research Institute, New Delhi, India.
Rajesh Kumar SinghDivision of Genetics, Indian Agricultural Statistics Research Institute (ICAR)-Indian Agricultural Research Institute, New Delhi, India.
Aditi BhandariInternational Crops Research Institute for the Semi-Arid Tropics, Patancheru, Telangana, India.
Gitanjali TandonDivision of Bioinformatics, ICAR-IASRI, New Delhi, India.
K K SinghICAR-Indian Agricultural Research Institute Regional Station, Samstipur, Bihar, India.
Sunita KushwahKrishi Vigyan Kendra (KVK), Vaishali, Dr. Rajendra Prasad Central Agriculture University-Pusa, Hajipur, Bihar, India.
Gera Roopa LavanyaDepartment of Genetics & Plant Breeding, Sam Higginbottom University of Agriculture, Technology and Sciences (SHUATS), Prayagraj, India.
Mir Asif IquebalDivision of Bioinformatics, ICAR-IASRI, New Delhi, India.
Neelu JainDivision of Genetics, Indian Agricultural Statistics Research Institute (ICAR)-Indian Agricultural Research Institute, New Delhi, India.
Himabindu KudapaInternational Crops Research Institute for the Semi-Arid Tropics, Patancheru, Telangana, India.
H D UpadhyayaInternational Crops Research Institute for the Semi-Arid Tropics, Patancheru, Telangana, India.
Aladdin HamwiehInternational Center for Agriculture Research in the Dry Areas (ICARDA), Giza, Egypt.
Rajendra KumarDivision of Genetics, Indian Agricultural Statistics Research Institute (ICAR)-Indian Agricultural Research Institute, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The chickpea (Cicer arietinum L.) is well-known for having climate resilience and atmospheric nitrogen fixation ability. Global demand for nitrogenous fertilizer is predicted to increase by 1.4% annually, and the loss of billions of dollars in farm profit has drawn attention to the need for alternative sources of nitrogen. The ability of chickpea to obtain sufficient nitrogen via its symbiotic relationship with Methods: To support findings on nodule formation in chickpea and to map the genomic regions for nodulation, an association panel consisting of 271 genotypes, selected from the global chickpea germplasm including four checks at four locations, was evaluated, and data were recorded for nodulation and 12 yield-related traits. A genome-wide association study (GWAS) was conducted using phenotypic data and genotypic data was extracted from whole-genome resequencing data of chickpea by creating a hap map file consisting of 602,344 single-nucleotide polymorphisms (SNPs) in the working set with best-fit models of association mapping. Results and Discussion: The GWAS panel was found to be structured with sufficient diversity among the genotypes. Linkage disequilibrium (LD) analysis showed an LD decay value of 37.3 MB, indicating that SNPs within this distance behave as inheritance blocks. A total of 450 and 632 stringent marker-trait associations (MTAs) were identified from the BLINK and FarmCPU models, respectively, for all the traits under study. The 75 novel MTAs identified for nodulation traits were found to be stable. SNP annotations of associated markers were found to be related to various genes including a few auxins encoding as well as nod factor transporter genes. The identified significant MTAs, candidate genes, and associated markers have the potential for use in marker-assisted selection for developing high-nodulation cultivars after validation in the breeding populations.

Indexed as

association mappingchickpeaGWASnitrogen fixationnodulationpleiotropicPVE

Identifiers

PMID39474215
PMCPMC11518797

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