Benchmarks for taxonomic classification of jingmenviruses and closely related viruses using newly identified genomic sequences

. These proposals do not include clear criteria to classify jingmenviruses and related sequences into species or genera. In order to determine such criteria, we generated a large sequence database from published and newly assembled sequences. Indeed, we screened public raw sequencing data from studies that did not search for or report jingmenvirus or related sequences, looking for new strains of previously described viruses. We then performed multiple sequence alignments and used the inferred percentage identity values to determine demarcation criteria based on the distribution of evolutionary distances upon pairwise comparisons. We report the identification of almost 60 libraries containing jingmenvirus and related sequences, in a wide range of sample types and geographical locations. Using these data and published sequences, we have determined that to be classified as a virus species, at least four segments are required, on which eight cut-off values in percentage identity (nucleotide and amino acid) are used for demarcation. The use of these criteria would enhance consistency in jingmenvirus taxonomy and provide a standardized framework for comparative genomics studies of these viruses, as they are still under-characterized.

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Publication Details

Journal
Journal of General Virology
Published
2026-05-08
DOI
https://doi.org/10.1099/jgv.0.002254
Primary Topic
Plant Virus Research Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Benchmarks for taxonomic classification of jingmenviruses and closely related viruses using newly identified genomic sequences

Agathe M. G. Colmant, Rhys Parry, Bruno Coutard, Remi Charrel
Journal of General Virology
Plant Virus Research Studies
article

Benchmarks for taxonomic classification of jingmenviruses and closely related viruses using newly identified genomic sequences

Agathe M. G. Colmant, Rhys Parry, Bruno Coutard, Remi Charrel
article en

Abstract

. These proposals do not include clear criteria to classify jingmenviruses and related sequences into species or genera. In order to determine such criteria, we generated a large sequence database from published and newly assembled sequences. Indeed, we screened public raw sequencing data from studies that did not search for or report jingmenvirus or related sequences, looking for new strains of previously described viruses. We then performed multiple sequence alignments and used the inferred percentage identity values to determine demarcation criteria based on the distribution of evolutionary distances upon pairwise comparisons. We report the identification of almost 60 libraries containing jingmenvirus and related sequences, in a wide range of sample types and geographical locations. Using these data and published sequences, we have determined that to be classified as a virus species, at least four segments are required, on which eight cut-off values in percentage identity (nucleotide and amino acid) are used for demarcation. The use of these criteria would enhance consistency in jingmenvirus taxonomy and provide a standardized framework for comparative genomics studies of these viruses, as they are still under-characterized.

Journal of General VirologyVol. 107(5)
Université de Corse Pascal Paoli (FR), The University of Queensland (AU)
HORIZON EUROPE European Research Council
Life in Land
Openalex Percentile: Top 8%
Plant Virus Research Studies
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