» Articles » PMID: 25222488

Natural Allelic Diversity, Genetic Structure and Linkage Disequilibrium Pattern in Wild Chickpea

Overview
Journal PLoS One
Date 2014 Sep 16
PMID 25222488
Citations 32
Authors
Affiliations
Soon will be listed here.
Abstract

Characterization of natural allelic diversity and understanding the genetic structure and linkage disequilibrium (LD) pattern in wild germplasm accessions by large-scale genotyping of informative microsatellite and single nucleotide polymorphism (SNP) markers is requisite to facilitate chickpea genetic improvement. Large-scale validation and high-throughput genotyping of genome-wide physically mapped 478 genic and genomic microsatellite markers and 380 transcription factor gene-derived SNP markers using gel-based assay, fluorescent dye-labelled automated fragment analyser and matrix-assisted laser desorption ionization-time of flight (MALDI-TOF) mass array have been performed. Outcome revealed their high genotyping success rate (97.5%) and existence of a high level of natural allelic diversity among 94 wild and cultivated Cicer accessions. High intra- and inter-specific polymorphic potential and wider molecular diversity (11-94%) along with a broader genetic base (13-78%) specifically in the functional genic regions of wild accessions was assayed by mapped markers. It suggested their utility in monitoring introgression and transferring target trait-specific genomic (gene) regions from wild to cultivated gene pool for the genetic enhancement. Distinct species/gene pool-wise differentiation, admixed domestication pattern, and differential genome-wide recombination and LD estimates/decay observed in a six structured population of wild and cultivated accessions using mapped markers further signifies their usefulness in chickpea genetics, genomics and breeding.

Citing Articles

Genome-wide association studies for earliness, MYMIV resistance, and other associated traits in mungbean ( L. Wilczek) using genotyping by sequencing approach.

Kohli M, Bansal H, Mishra G, Dikshit H, Reddappa S, Roy A PeerJ. 2024; 12:e16653.

PMID: 38288464 PMC: 10823994. DOI: 10.7717/peerj.16653.


Novel Alleles from L. for Genetic Improvement of Cultivated Chickpeas Identified through Genome Wide Association Analysis.

Rahman M, Deokar A, Lindsay D, Taran B Int J Mol Sci. 2024; 25(1).

PMID: 38203819 PMC: 10779240. DOI: 10.3390/ijms25010648.


Genome-wide association studies for phenological and agronomic traits in mungbean ( L. Wilczek).

Manjunatha P, Aski M, Mishra G, Gupta S, Devate N, Singh A Front Plant Sci. 2023; 14:1209288.

PMID: 37810385 PMC: 10558178. DOI: 10.3389/fpls.2023.1209288.


Decoding allelic diversity, transcript variants and transcriptional complexity of CENH3 gene in Brassica oleracea var. botrytis.

Raipuria R, Watts A, Sharma B, Watts A, Bhattacharya R Protoplasma. 2023; 260(4):1149-1162.

PMID: 36705736 DOI: 10.1007/s00709-023-01837-7.


A superior gene allele involved in abscisic acid signaling enhances drought tolerance and yield in chickpea.

Thakro V, Malik N, Basu U, Srivastava R, Narnoliya L, Daware A Plant Physiol. 2022; 191(3):1884-1912.

PMID: 36477336 PMC: 10022645. DOI: 10.1093/plphys/kiac550.


References
1.
Tayyar R, Waines J . Genetic relationships among annual species of Cicer(Fabaceae) using isozyme variation. Theor Appl Genet. 2013; 92(2):245-54. DOI: 10.1007/BF00223381. View

2.
Rajesh N, Tullu A, Gil J, Gupta S, Ranjekar K, Muehlbauer J . Identification of an STMS marker for the double-podding gene in chickpea. Theor Appl Genet. 2003; 105(4):604-607. DOI: 10.1007/s00122-002-0930-4. View

3.
Gaur R, Azam S, Jeena G, Khan A, Choudhary S, Jain M . High-throughput SNP discovery and genotyping for constructing a saturated linkage map of chickpea (Cicer arietinum L.). DNA Res. 2012; 19(5):357-73. PMC: 3473369. DOI: 10.1093/dnares/dss018. View

4.
Shan F, Clarke H, Plummer J, Yan G, Siddique K . Geographical patterns of genetic variation in the world collections of wild annual Cicer characterized by amplified fragment length polymorphisms. Theor Appl Genet. 2004; 110(2):381-91. DOI: 10.1007/s00122-004-1849-8. View

5.
Mantel N . The detection of disease clustering and a generalized regression approach. Cancer Res. 1967; 27(2):209-20. View