Occurrence and Molecular Variability of the Main Kiwifruit Viruses in the Sichuan Province of China

Viruses. 2022 Nov 6;14(11):2460. doi: 10.3390/v14112460.

Abstract

Viruses cause important yield losses in kiwifruit. Here, we studied the occurrence and population structure of the major kiwifruit viruses in the Sichuan province of China. RT-PCR results showed the presence of Actinidia virus A (AcVA), Actinidia virus B (AcVB), Actinidia chlorotic ringspot-associated virus (AcCRaV), and the cucumber mosaic virus (CMV). AcCRaV was widely distributed, followed by CMV. These two viruses were often detected in co-infection with AcVA and AcVB. The virus detection rate was positively correlated with vine age. Four phylogenetic groups of AcVA and AcVB were identified, with AcVA isolates clustering mainly in subgroup I, and AcVB isolates clustering mainly in subgroups II, III, and IV. All CMV isolates clustered in subgroup II, and AcCRaV isolates clustered in subgroup IA. The genome of AcVA and AcCRaV was under negative selection pressure, while the genome of AcVB and CMV was under positive selection pressure. All the viruses, except AcVB, were in a state of expansion. The full-length genome of the most widely distributed AcCRaV isolate in kiwifruits in the Sichuan province was characterized by sequencing. Unique eight-nucleotide (TTTTTGAT) repeats were found in the 5'-terminal non-coding region of the AcCRaV RNA3 in a possible association with reduced disease symptoms. This is the first study of kiwifruit viruses in Sichuan.

Keywords: genetic variation; kiwifruit virus; structural prediction.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Actinidia*
  • Cucumovirus* / genetics
  • Cytomegalovirus Infections*
  • Flexiviridae*
  • Phylogeny
  • Plant Diseases
  • Viruses* / genetics

Grants and funding

This research was funded by the project of the Sichuan innovation team of national modern agricultural industry technology system (No. sccxtd-2022-20); Key Research and Development Plan of Sichuan Province (No. 23ZDYF3037); Science and Technology Planning Project of Sichuan province (No. 2021YFYZ0021); the project of the 67th Batch of China Postdoctoral Science Foundation (No. 2020M673571XB); and the Chengdu Science and Technology Project (No. 001H0701).