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Detection and in silico characterization of banana bunchy top virus in West Bengal, India: relevance to global genetic diversity and population structure

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Abstract

Banana bunchy top disease is one of the major prevailing virus diseases associated with banana cultivation, spreading rapidly within a small scale of time. Till date there are only few extensive reports of completely sequenced isolates in India. A study was conducted to detect BBTV infection across 12 districts in West Bengal (WB) where extensive prevalence of the disease was ascertained. In silico characterization of the six genome components were accomplished which showed 84.90–99.86% similarity with other BBTV isolates reported worldwide. The phylogenetic analysis based upon DNA R and DNA S suggested formation of monophyletic cluster of majority of the WB isolates and its close association with Tripura, Manipur, Australia and Africa isolates indicating diversion from geographical differentiation. Dynamics of evolutionary pattern such as genetic diversity including Tajima’s D test and Fu Li’s Fs test, average number of nucleotide differences (K), Polymorphic sites (S); Fst distance; Mismatch distribution plot; Haplotype network, and selection pressure were performed based upon geographical distribution of the virus. Population genetics analysis of both Pacific Indian Ocean group and South East Asian group of the global BBTV population revealed low nucleotide diversity, high haplotype diversity, high gene flow within the group, and negative or purifying selection constraint indicating recent population expansion. Hence, this study portrays Indian subcontinent as the possible hotspot for rapid demographic expansion from a small virus population size, contributing valuable addition to the currently available information on BBTV worldwide.

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Acknowledgements

The first author thankfully acknowledges Bidhan Chandra Krishi Viswavidyalaya (ICAR-accredited State Agricultural University) for providing the Senior Research Fellowship to carry out this research work.

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This research received no external funding.

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Authors and Affiliations

  1. Department of Plant Pathology, B.C.K.V, Nadia, West Bengal, 741252, India

    Swati Chakraborty, Subham Dutta, R. Poorvasandhya & Jayanta Tarafdar

  2. Department of Agricultural Entomology, B.C.K.V, Nadia, West Bengal, 741252, India

    Mritunjoy Barman & Snigdha Samanta

  3. Indian Agricultural Statistics Research Institute, Library Avenue, Pusa, New Delhi, 110012, India

    Krishna Pada Sarkar

  4. Directorate of Research, B.C.K.V, Kalyani, 741235, India

    Jayanta Tarafdar

  5. School of Agriculture, Seacom Skills University, Kendradangal, Birbhum, West Bengal, India

    Swati Chakraborty

  6. School of Agricultural Sciences, GD Goenka University, Sohna, Gurugram, Delhi NCR, India

    Mritunjoy Barman

  7. School of Agriculture & Allied Science, The Neotia University, Sarisha, West Bengal, India

    Snigdha Samanta

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  1. Swati Chakraborty
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Contributions

Conceptualization, SC and JT; Methodology, SC and SD; Writing-original draft preparation, SC and SS; Validation, JT; Data curation, SD, MB, and KPS; Visualization, JT and SD; Supervision, JT; Funding Acquisition, JT; Resource, JT; Review and Editing, JT and PR; Funding Acquisition, JT.

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Correspondence to Jayanta Tarafdar.

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Chakraborty, S., Dutta, S., Barman, M. et al. Detection and in silico characterization of banana bunchy top virus in West Bengal, India: relevance to global genetic diversity and population structure. VirusDis. 34, 221–235 (2023). https://doi.org/10.1007/s13337-023-00815-0

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