Abstract

The present investigation was conducted to assess the nutritional diverseness and identify novel genetic resources to be utilized in chickpea breeding for macro and micro nutrients. The plants were grown in randomized block design. Nutritional and phytochemical properties of nine chickpea genotypes were estimated. The EST sequences from NCBI database were downloaded in FASTA format, clustered into contigs using CAP3, mined for novel SSRs using TROLL analysis and primer pairs were designed using Primer 3 software. Jaccard’s similarity coefficients were used to compare the nutritional and molecular indexes followed by dendrograms construction employing UPGMA approach. The genotypes PUSA-1103, K-850, PUSA-1108, PUSA-1053 and the EST-SSR markers including the 5 newly designed namely ICCeM0012, ICCeM0049, ICCeM0067, ICCeM0070, ICCeM0078, SVP55, SVP95, SVP96, SVP146, and SVP217 were found as potential donor/marker resources for the macro–micro nutrients. The genotypes differed (p < 0.05) for nutritional properties. Amongst newly designed primers, 6 were found polymorphic with median PIC (0.46). The alleles per primer ranged 1 to 8. Cluster analysis based on nutritional and molecular diversities partially matched to each other in principle. The identified novel genetic resources may be used to widen the germplasm base, prepare maintainable catalogue and identify systematic blueprints for future chickpea breeding strategies targeting macro–micro nutrients.

Details

Title
Disentangling potential genotypes for macro and micro nutrients and polymorphic markers in Chickpea
Author
Mittal, Neha 1 ; Bhardwaj, Juhi 1 ; Verma, Shruti 2 ; Singh, Rajesh Kumar 3 ; Yadav, Renu 4 ; Kaur, D. 5 ; Talukdar, Akshay 3 ; Yadav, Neelam 5 ; Kumar, Rajendra 3 

 Meerut Institute of Engineering & Technology, Department of Biotechnology, Meerut, India (GRID:grid.418403.a) (ISNI:0000 0001 0733 9339) 
 Lady Hardinge Medical College, NCoE-SAM, Department of Pediatrics, KSCH, New Delhi, India (GRID:grid.415723.6) (ISNI:0000 0004 1767 727X) 
 ICAR-Indian Agricultural Research Institute, Division of Genetics, New Delhi, India (GRID:grid.418196.3) (ISNI:0000 0001 2172 0814) 
 Amity University, AIOA, Noida, India (GRID:grid.444644.2) (ISNI:0000 0004 1805 0217) 
 University of Allahabad, Centre for Food Technology, Prayagraj, India (GRID:grid.411343.0) (ISNI:0000 0001 0213 924X) 
Pages
10731
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2832643579
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.