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Genetic diversity and epidemic histories of rice yellow mottle virus in Ghana

  • Emmanuel Gilbert Omiat
  • , Maxwell Darko Asante
  • , Valentin Stanislas Edgar Traoré
  • , Allen Oppong
  • , Beatrice Elohor Ifie
  • , Kirpal Agyemang Ofosu
  • , Jamel Aribi
  • , Agnès Pinel-Galzi
  • , Aurore Comte
  • , Denis Fargette
  • , Eugénie Hébrard
  • , Oumar Traoré
  • , Samuel Kwame Offei
  • , Eric Yirenkyi Danquah
  • , Nils Poulicard
  • University of Ghana
  • National Agricultural Research Organisation (NARO)
  • Behind Golden Tulip Hotel
  • Institut de l’Environnement et de Recherches Agricoles (INERA)
  • Institut de recherche pour le développement

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)

Abstract

Rice yellow mottle virus (RYMV) has persisted as a major biotic constraint to rice production in Africa. However, no data on RYMV epidemics were available in Ghana, although it is an intensive rice-producing country. Surveys were performed from 2010 to 2020 in eleven rice-growing regions of Ghana. Symptom observations and serological detections confirmed that RYMV is circulating in most of these regions. Coat protein gene and complete genome sequencings revealed that RYMV in Ghana almost exclusively belongs to the strain S2, one of the strains covering the largest area in West Africa. We also detected the presence of the S1ca strain which is being reported for the first time outside its area of origin. These results suggested a complex epidemiological history of RYMV in Ghana and a recent expansion of S1ca to West Africa. Phylogeographic analyses reconstructed at least five independent RYMV introductions in Ghana for the last 40 years, probably due to rice cultivation intensification in West Africa leading to a better circulation of RYMV. In addition to identifying some routes of RYMV dispersion in Ghana, this study contributes to the epidemiological surveillance of RYMV and helps to design disease management strategies, especially through breeding for rice disease resistance.

Original languageEnglish
Article number199106
JournalVirus Research
Volume329
DOIs
Publication statusPublished - May 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Epidemiological surveillance
  • Phylogeography
  • Solemoviridae
  • Spatio-temporal dynamics

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