Literature DB >> 27924127

SSR based genetic diversity of pigmented and aromatic rice (Oryza sativa L.) genotypes of the western Himalayan region of India.

Humaira Ashraf1, Amjad M Husaini1, M Ashraf Bhat1, G A Parray2, Salim Khan3, Nazir A Ganai1.   

Abstract

A set of 24 of SSR markers were used to estimate the genetic diversity in 16 rice genotypes found in Western Himalayas of Kashmir and Himachal Pradesh, India. The level of polymorphism among the genotypes of rice was evaluated from the number of alleles and PIC value for each of the 24 SSR loci. A total of 68 alleles were detected across the 16 genotypes through the use of these 24 SSR markers The number of alleles per locus generated varied from 2 (RM 338, RM 452, RM 171) to 6 (RM 585, RM 249, RM 481, RM 162). The PIC values varied from 0.36 (RM 1) to 0.86 (RM 249) with an average of 0.62 per locus. Based on information generated, the genotypes got separated in six different clusters. Cluster 1 comprised of 4 genotypes viz; Zag 1, Zag 13, Pusa sugandh 3, and Zag 14, separated from each other at a similarity value of 0.40. Cluster second comprised of 3 landraces viz; Zag 2. Zag 4 and Zag10 separated from each other at a similarity value of 0.45. Cluster third comprised of 3 genotypes viz; Grey rice, Mushk budji and Kamad separated from each other at a similarity value of 0.46. Cluster fourth had 2 landraces viz; Kawa kreed and Loual anzul, and was not sub clustered. Fifth cluster had 3 genotypes viz; Zag 12, Purple rice and Jhelum separated from each other at a similarity value of 0.28. Cluster 6 comprised of a single popular variety i.e. Shalimar rice 1 with independent lineage.

Entities:  

Keywords:  Genetic diversity; Microsatellites; Oryza sativa L.; Polymorphism; SSR markers

Year:  2016        PMID: 27924127      PMCID: PMC5120034          DOI: 10.1007/s12298-016-0377-8

Source DB:  PubMed          Journal:  Physiol Mol Biol Plants        ISSN: 0974-0430


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1.  The landscape of microsatellites in the enset (Ensete ventricosum) genome and web-based marker resource development.

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Journal:  Sci Rep       Date:  2020-09-17       Impact factor: 4.379

  1 in total

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