Evaluation of molecular diversity in stripe rust samples using EST-derived SSR markers

Authors

  • MANNY SALUJA, SATINDER KAUR*, PRITI SHARMA, N.S. BAINS and PARVEEN CHHUNEJA

Keywords:

46S119, 78S84, fungi, Puccinia striiformis, rust, wheat

Abstract

Evaluation of genetic diversity in a pathogen population and differentiation of pathogenic races is fundamental for mitigation strategies devised to ensure food security. In the present study, molecular diversity was analysed among 10 Puccinia striiformis Westend f. sp. tritici (Pst) samples. Seven of these samples were collected from open fields of different regions of Punjab and Himachal Pradesh states of India while three were known prevalent Pst races. The samples were evaluated using EST-derived SSR markers. Cluster analysis based on UPGMA algorithm and principal coordinate analysis (PCoA) classified these 10 samples into three separate groups which indicated genetic diversity among the samples collected from same as well as different geographical regions.

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Published

2016-12-24

Issue

Section

Research Articles

How to Cite

PRITI SHARMA, N.S. BAINS and PARVEEN CHHUNEJA, M. S. S. K. (2016). Evaluation of molecular diversity in stripe rust samples using EST-derived SSR markers. Indian Phytopathology, 69(4), 368-372. http://epubs.icar.org.in/ejournal/index.php/IPPJ/article/view/66245