Literature DB >> 32582507

Estimation of genetic diversity and population structure in Tinospora cordifolia using SSR markers.

Suchita Lade1,2, Veena Pande2, Tikam Singh Rana3,4, Hemant Kumar Yadav1,4.   

Abstract

Thirty polymorphic SSRs, derived from RNA sequencing of Tinospora cordifolia (willd.), were utilized for genetic diversity and population structure evaluation among 96 accessions collected from ten different geographical regions of India. A total of 7611 SSRs were identified from 268149 transcripts. Of all SSR loci, 69.07% of them were tri-nucleotide repeat motifs, followed by di-nucleotide repeat motifs (12.82%). A total of 230 alleles were generated by 30 SSRs with an average of 7.67 alleles per locus with comparatively higher polymorphic information content (average 0.68). The expected (He) and observed (Ho) heterozygosity means were 0.71 and 0.12, respectively. All the loci showed significant deviation from Hardy-Weinberg Equilibrium (HWE). The neighbor joining clustering based on jaccard's coefficient grouped all the 96 accessions into three major cluster which was also in congruence with model-based structure plot. The result of molecular variance (AMOVA) revealed higher genetic variance within populations than among populations. The result reflects an existence of high level of genetic diversity in the collected accessions of T. cordifolia. The accessions Tc131, Tc31, Tc129, Tc38, Tc16, Tc59, Tc60, Tc17, Tc106 and Tc130 was found to be potential and diverse in nature and the SSRs TCSSR-18, TCSSR-37, TCTSSR-59, TCTSSR-92, TCTSSR-123 and TCTSSR-126 as potential markers. These accessions and newly developed SSR markers provide valuable resource and could be strategically utilized for further genetic improvement of T. cordifolia. © King Abdulaziz City for Science and Technology 2020.

Entities:  

Keywords:  AMOVA; Genetic diversity; Simple sequence repeat (SSR); Tinospora cordifolia

Year:  2020        PMID: 32582507      PMCID: PMC7297894          DOI: 10.1007/s13205-020-02300-7

Source DB:  PubMed          Journal:  3 Biotech        ISSN: 2190-5738            Impact factor:   2.406


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