Use of molecular markers in identification and characterization of resistance to rice blast in India

Rice blast disease caused by Magnaporthe oryzae is one of the most destructive disease causing huge losses to rice yield in different parts of the world. Therefore, an attempt has been made to find out the resistance by screening and studying the genetic diversity of eighty released rice varieties b...

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Published inPloS one Vol. 12; no. 4; p. e0176236
Main Authors Yadav, Manoj Kumar, S, Aravindan, Ngangkham, Umakanta, Shubudhi, H N, Bag, Manas Kumar, Adak, Totan, Munda, Sushmita, Samantaray, Sanghamitra, Jena, Mayabini
Format Journal Article
LanguageEnglish
Published United States Public Library of Science 26.04.2017
Public Library of Science (PLoS)
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Summary:Rice blast disease caused by Magnaporthe oryzae is one of the most destructive disease causing huge losses to rice yield in different parts of the world. Therefore, an attempt has been made to find out the resistance by screening and studying the genetic diversity of eighty released rice varieties by National Rice Research Institute, Cuttack (NRVs) using molecular markers linked to twelve major blast resistance (R) genes viz Pib, Piz, Piz-t, Pik, Pik-p, Pikm Pik-h, Pita/Pita-2, Pi2, Pi9, Pi1 and Pi5. Out of which, nineteen varieties (23.75%) showed resistance, twenty one were moderately resistant (26.25%) while remaining forty varieties (50%) showed susceptible in uniform blast nursery. Rice varieties possessing blast resistance genes varied from four to twelve and the frequencies of the resistance genes ranged from 0 to 100%. The cluster analysis grouped the eighty NRVs into two major clusters at 63% level of genetic similarity coefficient. The PIC value for seventeen markers varied from 0 to 0.37 at an average of 0.20. Out of seventeen markers, only five markers, 195R-1, Pi9-i, Pita3, YL155/YL87 and 40N23r corresponded to three broad spectrum R genes viz. Pi9, Pita/Pita2 and Pi5 were found to be significantly associated with the blast disease with explaining phenotypic variance from 3.5% to 7.7%. The population structure analysis and PCoA divided the entire 80 NRVs into two sub-groups. The outcome of this study would help to formulate strategies for improving rice blast resistance through genetic studies, plant-pathogen interaction, identification of novel R genes, development of new resistant varieties through marker-assisted breeding for improving rice blast resistance in India and worldwide.
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Competing Interests: The authors declare that they have no competing interests.
Conceptualization: MKY UN.Data curation: MKY UN.Formal analysis: SM TA.Investigation: MKY AS UN.Methodology: MKY AS.Project administration: MJ.Resources: SS MJ.Software: UN TA MKY.Supervision: MJ.Validation: MKY MKB.Visualization: MKY UN.Writing – original draft: MKY AS UN SS HNS MJ.Writing – review & editing: MKY UN SS TA SM.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0176236