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Multi-Gene Phylogenetic Approach for Identification and Diversity Analysis of Bipolaris maydis and Curvularia lunata Isolates Causing Foliar Blight of Zea mays .

Nazia ManzarAbhijeet Shankar KashyapAvantika MauryaMahendra Vikram Singh RajawatPawan Kumar SharmaAlok Kumar SrivastavaManish RoyAnil Kumar SaxenaHarsh Vardhan Singh
Published in: Journal of fungi (Basel, Switzerland) (2022)
Bipolaris species are known to be important plant pathogens that commonly cause leaf spot, root rot, and seedling blight in a wide range of hosts worldwide. In 2017, complex symptomatic cases of maydis leaf blight (caused by Bipolaris maydis ) and maize leaf spot (caused by Curvularia lunata ) have become increasingly significant in the main maize-growing regions of India. A total of 186 samples of maydis leaf blight and 129 maize leaf spot samples were collected, in 2017, from 20 sampling sites in the main maize-growing regions of India to explore the diversity and identity of this pathogenic causal agent. A total of 77 Bipolaris maydis isolates and 74 Curvularia lunata isolates were screened based on morphological and molecular characterization and phylogenetic analysis based on ribosomal markers-nuclear ribosomal DNA (rDNA) internal transcribed spacer (ITS) region, 28S nuclear ribosomal large subunit rRNA gene (LSU), D1/D2 domain of large-subunit (LSU) ribosomal DNA (rDNA), and protein-coding gene-glyceraldehyde-3-phosphate dehydrogenase (GAPDH). Due to a dearth of molecular data from ex-type cultures, the use of few gene regions for species resolution, and overlapping morphological features, species recognition in Bipolaris has proven difficult. The present study used the multi-gene phylogenetic approach for proper identification and diversity of geographically distributed B . maydis and C . lunata isolates in Indian settings and provides useful insight into and explanation of its quantitative findings.
Keyphrases
  • copy number
  • genome wide
  • genetic diversity
  • genome wide identification
  • circulating tumor
  • dna methylation
  • electronic health record
  • genome wide analysis
  • protein kinase
  • protein protein