Literature DB >> 34096638

Morphological and molecular characterization of Neopestalotiopsis vitis associated with leaf blight disease of Manilkara zapota-a new record from India.

B R Nuthan1,2, B R Meghavarshinigowda2,3, S S N Maharachchikumbura4, Shivannegowda Mahadevakumar2,3, K M Marulasiddaswamy2,5, C R Sunilkumar2, K N Amruthesh3, Sreedharamurthy Satish1.   

Abstract

Sapota is an important horticultural crop grown in India, and Karnataka is a major producer of sapota. A characteristic leaf blight disease was observed in Southern Karnataka during field surveys conducted in 2019 with an incidence of 13-22% in approximately 45 ha of sapota field. The leaf blight-associated pathogen was isolated on the potato dextrose agar medium. A total of 12 isolates obtained from each location were identified culturally and morphologically. Based on the morphological and cultural features, the pathogen was identified as Pestalotiopsis or Neopestalotiopsis, which was further confirmed by molecular identification using a representative isolate (MZ03). The ITS rDNA and β-tubulin genes were amplified and sequenced using ITS1/ITS4 and T1/T22 primer pairs respectively. nBLAST search analysis and concatenated (ITS-rDNA and TUB2 loci) phylogenetic analysis confirmed the pathogen identity as Neopestalotiopsis vitis. Pathogenicity tests conducted on detached leaves by inoculation with a conidial suspension of N. vitis produced typical blight symptoms after 4-5 days and progressed to cover the entire leaf lamina after 10-12 days. The pathogen's identity was confirmed after re-isolation by cultural and morphological features. Although Pestalotiopsis clavispora and Pestalotiopsis versicolor causing diseases on sapota seedlings and trees have been reported, no reports are available for the occurrence of N. vitis to sapota from India. This is the first report of N. vitis associated with leaf blight disease of sapota from India.
© 2021 The Society for Applied Microbiology.

Entities:  

Keywords:  zzm321990Neopestalotiopsis vitiszzm321990; detached leaf assay; disease incidence; leaf blight; molecular taxonomy

Year:  2021        PMID: 34096638     DOI: 10.1111/lam.13521

Source DB:  PubMed          Journal:  Lett Appl Microbiol        ISSN: 0266-8254            Impact factor:   2.858


  1 in total

1.  CASM-AMFMNet: A Network Based on Coordinate Attention Shuffle Mechanism and Asymmetric Multi-Scale Fusion Module for Classification of Grape Leaf Diseases.

Authors:  Jiayu Suo; Jialei Zhan; Guoxiong Zhou; Aibin Chen; Yaowen Hu; Weiqi Huang; Weiwei Cai; Yahui Hu; Liujun Li
Journal:  Front Plant Sci       Date:  2022-05-24       Impact factor: 6.627

  1 in total

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