Abstract

Being one of the most important staple dietary constituents globally, genetic enhancement of cultivated rice for yield, agronomically important traits is of substantial importance. Even though the climatic factors and crop management practices impact complex traits like yield immensely, the contribution of variation by underlying genetic factors surpasses them all. Previous studies have highlighted the importance of utilizing exotic germplasm, landraces in enhancing the diversity of gene pool, leading to better selections and thus superior cultivars. Thus, to fully exploit the potential of progenitor of Asian cultivated rice for productivity related traits, genome wide association study (GWAS) for seven agronomically important traits was conducted on a panel of 346 O. rufipogon accessions using a set of 15,083 high-quality single nucleotide polymorphic markers. The phenotypic data analysis indicated large continuous variation for all the traits under study, with a significant negative correlation observed between grain parameters and agronomic parameters like plant height, culm thickness. The presence of 74.28% admixtures in the panel as revealed by investigating population structure indicated the panel to be very poorly genetically differentiated, with rapid LD decay. The genome-wide association analyses revealed a total of 47 strong MTAs with 19 SNPs located in/close to previously reported QTL/genic regions providing a positive analytic proof for our studies. The allelic differences of significant MTAs were found to be statistically significant at 34 genomic regions. A total of 51 O. rufipogon accessions harboured combination of superior alleles and thus serve as potential candidates for accelerating rice breeding programs. The present study identified 27 novel SNPs to be significantly associated with different traits. Allelic differences between cultivated and wild rice at significant MTAs determined superior alleles to be absent at 12 positions implying substantial scope of improvement by their targeted introgression into cultivars. Introgression of novel significant genomic regions into breeder’s pool would broaden the genetic base of cultivated rice, thus making the crop more resilient.

Details

Title
Genotyping-by-Sequencing Based Investigation of Population Structure and Genome Wide Association Studies for Seven Agronomically Important Traits in a Set of 346 Oryza rufipogon Accessions
Author
Malik, Palvi 1   VIAFID ORCID Logo  ; Huang, Mao 2 ; Neelam, Kumari 3   VIAFID ORCID Logo  ; Bhatia, Dharminder 4 ; Kaur, Ramanjeet 3 ; Yadav, Bharat 5 ; Singh, Jasdeep 3 ; Sneller, Clay 2 ; Singh, Kuldeep 6 

 Punjab Agricultural University, School of Agricultural Biotechnology, Ludhiana, India (GRID:grid.412577.2) (ISNI:0000 0001 2176 2352); The Ohio State University, Department of Horticulture and Crop Science, OARDC, Wooster, USA (GRID:grid.261331.4) (ISNI:0000 0001 2285 7943) 
 The Ohio State University, Department of Horticulture and Crop Science, OARDC, Wooster, USA (GRID:grid.261331.4) (ISNI:0000 0001 2285 7943) 
 Punjab Agricultural University, School of Agricultural Biotechnology, Ludhiana, India (GRID:grid.412577.2) (ISNI:0000 0001 2176 2352) 
 Punjab Agricultural University, Department of Plant Breeding and Genetics, Ludhiana, India (GRID:grid.412577.2) (ISNI:0000 0001 2176 2352) 
 Punjab Agricultural University, School of Agricultural Biotechnology, Ludhiana, India (GRID:grid.412577.2) (ISNI:0000 0001 2176 2352); University of British Columbia, Crop Pathology and Genetics Lab, Vancouver, Canada (GRID:grid.17091.3e) (ISNI:0000 0001 2288 9830) 
 Punjab Agricultural University, School of Agricultural Biotechnology, Ludhiana, India (GRID:grid.412577.2) (ISNI:0000 0001 2176 2352); International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India (GRID:grid.419337.b) (ISNI:0000 0000 9323 1772) 
Publication year
2022
Publication date
Dec 2022
Publisher
Springer Nature B.V.
ISSN
19398425
e-ISSN
19348037
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2688285545
Copyright
© The Author(s) 2022. 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.