Asma Hamid Mir1, Mohd Ashraf Bhat1, Humara Fayaz1,2, Aijaz A Wani2, Sher A Dar3, Showkat Maqbool4, Mohammad Yasin5, Javid Iqbal Mir6, Mohd Anwar Khan1, Parvaze A Sofi1, Ahmed H El-Sappah7, Mahendar Thudi8,9, Rajeev Kumar Varshney8,10, Reyazul Rouf Mir11. 1. Division of Genetics and Plant Breeding, Faculty of Agriculture (FoA), SKUAST-Kashmir, Wadura Campus, Sopore, Kashmir, India. 2. Department of Botany, Cytogenetics and Reproductive Biology Laboratory, University of Kashmir, Srinagar, Kashmir, India. 3. Dryland Agriculture Research Station (DARS), SKUAST-Kashmir, Budgam, Kashmir, India. 4. Division of Animal Genetics and Breeding, SKUAST-Kashmir, FVSc & AH, Shuhama, Srinagar, Kashmir, India. 5. Rafi Amhad Kidwai (RAK) College of Agriculture, Rajmata Vijayaraje Scindia Krishi Vishwa Vidyalaya (RVSKV), Sehore, Madhya Pradesh, India. 6. ICAR-Central Institute of Temperate Horticulture (CITH), Srinagar, Kashmir, India. 7. School of Agriculture, Forestry and Food Engineering, Yibin University, Yibin, China. 8. Center of Excellence in Genomics & Systems Biology (CEGSB), Iinternational Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, Hyderabad, Telangana, India. 9. Department of Agricultural Biotechnology and Biotechnology, Rajendra Prasad Central Agricultural University, Pusa, Samasthipur, Bihar, India. 10. State Agricultural Biotechnology Centre, Crop & Food Innovation Centre, Food Futures Institute, Murdoch University, Murdoch, WA, Australia. 11. Division of Genetics and Plant Breeding, Faculty of Agriculture (FoA), SKUAST-Kashmir, Wadura Campus, Sopore, Kashmir, India. imrouf2006@gmail.com.
Abstract
BACKGROUND: The exploration of genetic diversity is the key source of germplasm conservation and potential to broaden its genetic base. The globally growing demand for chickpea suggests superior/climate-resilient varieties, which in turn necessitates the germplasm characterization to unravel underlying genetic variation. METHODOLOGY AND RESULTS: A chickpea core collection comprising of diverse 192 accessions which include cultivated Cicer arietinum, and wild C. reticulatum, C. echinospermum, and C. microphyllum species were investigated to analyze their genetic diversity and relationship, by assaying 33 unlinked simple sequence repeat (SSR) markers. The results amplified a total of 323 alleles (Na), ranging from 2 to 8 with an average of 4.25 alleles per locus. Expected heterozygosity (He) differed from 0.46 to 0.86 with an average of 0.68. Polymorphic information content (PIC) ranged from 0.73 to 0.98 with an average of 0.89. Analysis of molecular variance (AMOVA) showed that most of the variation was among individuals (87%). Cluster analysis resulted in the formation of four distinct clusters. Cluster I represented all cultivated and clusters II, III, and IV comprised a heterogeneous group of cultivated and wild chickpea accessions. CONCLUSION: We report considerable diversity and greater resolving power of SSR markers for assessing variability and interrelationship among the chickpea accessions. The chickpea core is expected to be an efficient resource for breeders for broadening the chickpea genetic base and could be useful for selective breeding of desirable traits and in the identification of target genes for genomics-assisted breeding.
BACKGROUND: The exploration of genetic diversity is the key source of germplasm conservation and potential to broaden its genetic base. The globally growing demand for chickpea suggests superior/climate-resilient varieties, which in turn necessitates the germplasm characterization to unravel underlying genetic variation. METHODOLOGY AND RESULTS: A chickpea core collection comprising of diverse 192 accessions which include cultivated Cicer arietinum, and wild C. reticulatum, C. echinospermum, and C. microphyllum species were investigated to analyze their genetic diversity and relationship, by assaying 33 unlinked simple sequence repeat (SSR) markers. The results amplified a total of 323 alleles (Na), ranging from 2 to 8 with an average of 4.25 alleles per locus. Expected heterozygosity (He) differed from 0.46 to 0.86 with an average of 0.68. Polymorphic information content (PIC) ranged from 0.73 to 0.98 with an average of 0.89. Analysis of molecular variance (AMOVA) showed that most of the variation was among individuals (87%). Cluster analysis resulted in the formation of four distinct clusters. Cluster I represented all cultivated and clusters II, III, and IV comprised a heterogeneous group of cultivated and wild chickpea accessions. CONCLUSION: We report considerable diversity and greater resolving power of SSR markers for assessing variability and interrelationship among the chickpea accessions. The chickpea core is expected to be an efficient resource for breeders for broadening the chickpea genetic base and could be useful for selective breeding of desirable traits and in the identification of target genes for genomics-assisted breeding.
Authors: Rajeev K Varshney; Chi Song; Rachit K Saxena; Sarwar Azam; Sheng Yu; Andrew G Sharpe; Steven Cannon; Jongmin Baek; Benjamin D Rosen; Bunyamin Tar'an; Teresa Millan; Xudong Zhang; Larissa D Ramsay; Aiko Iwata; Ying Wang; William Nelson; Andrew D Farmer; Pooran M Gaur; Carol Soderlund; R Varma Penmetsa; Chunyan Xu; Arvind K Bharti; Weiming He; Peter Winter; Shancen Zhao; James K Hane; Noelia Carrasquilla-Garcia; Janet A Condie; Hari D Upadhyaya; Ming-Cheng Luo; Mahendar Thudi; C L L Gowda; Narendra P Singh; Judith Lichtenzveig; Krishna K Gali; Josefa Rubio; N Nadarajan; Jaroslav Dolezel; Kailash C Bansal; Xun Xu; David Edwards; Gengyun Zhang; Guenter Kahl; Juan Gil; Karam B Singh; Swapan K Datta; Scott A Jackson; Jun Wang; Douglas R Cook Journal: Nat Biotechnol Date: 2013-01-27 Impact factor: 54.908
Authors: Asma Hamid Mir; Mohd Ashraf Bhat; Sher Ahmad Dar; Parvaze Ahmad Sofi; Nazir Ahmad Bhat; Reyazul Rouf Mir Journal: Physiol Mol Biol Plants Date: 2021-04-23
Authors: Hari D Upadhyaya; Sangam L Dwivedi; Michael Baum; Rajeev K Varshney; Sripada M Udupa; Cholenahalli L L Gowda; David Hoisington; Sube Singh Journal: BMC Plant Biol Date: 2008-10-16 Impact factor: 4.215
Authors: Bingi P Mallikarjuna; Srinivasan Samineni; Mahendar Thudi; Sobhan B Sajja; Aamir W Khan; Ayyanagowda Patil; Kannalli P Viswanatha; Rajeev K Varshney; Pooran M Gaur Journal: Front Plant Sci Date: 2017-07-06 Impact factor: 5.753