Assessing genetic diversity and population structure of sugarcane cultivars, progenitor species and genera using microsatellite (SSR) markers

被引:47
|
作者
Singh, Ram Baran [1 ,2 ]
Mahenderakar, Mahesh D. [1 ]
Jugran, Arun K. [3 ]
Singh, Ram Kushal [2 ]
Srivastava, Rakesh K. [1 ]
机构
[1] Int Crops Res Inst Semi Arid Trop, Hyderabad 503324, Telangana, India
[2] Uttar Pradesh Council Sugarcane Res UPCSR, Shahjahanpur 242001, Uttar Pradesh, India
[3] GB Pant Natl Inst Himalayan Environm & Sustainabl, Almora 243643, Uttarakhand, India
关键词
Microsatellite (SSR) markers; Saccharum complex; Saccharum species; Genetic diversity; Population structure; Principal component analysis (PCA); TRAP; TRANSFERABILITY; IDENTIFICATION; ERIANTHUS; HYBRIDS; ENERGY; ESTS; DNA; L;
D O I
10.1016/j.gene.2020.144800
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Sugarcane is one among the most important commercial crops used to produce sugar, ethanol, and other byproducts, which significantly contributes in the GDP of India and many other countries around the world. Genetic diversity is a platform for any breeding program of a plant species. Estimation of the genetic variability and population structure play a vital role for conservation planning and management of plant genetic resources. Genetic variability serves as a source of noble alleles responsible for key agronomic and quality traits, which ultimately form basis for identification and selection of promising parents for breeding programs. In the present study genetic diversity and population structure of 139 accessions of the genus Saccharum, allied genera of family Poaceae and cultivars were assessed using informative microsatellite (SSR) markers. A sum of 427 alleles was produced using 61 polymorphic primers and number of alleles generated was ranged from 2 to 13 with an average of 7 alleles per locus. PIC values were ranged from 0.35 to 0.90, with a mean value of 0.66 for all the markers evaluated. Cluster analysis based on UPGMA method revealed three major clusters which were further subdivided into nine subclusters. Population structure analysis also established three subpopulations of used accession set, however there were no correlation of sub-groupings with that of place of origin. AMOVA analysis also confirmed that 83% and 17% of total variations were attributed to the within- and between-populations, correspondingly, demonstrating greater exchange of gene pool across places of origin. The principal component analysis (PCA) demonstrated the distribution of accessions in the scatter-plot was substantially dispersed, revealing rich genetic diversity among accessions of different species. The findings from this study will be useful in breeding programs for introgression of noble alleles into modern cultivars by exploiting natural genetic variation existing in sugarcane genetic resources.
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页数:13
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