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Reassessing species demarcation criteria in viroid taxonomy by pairwise identity matrices.

ABSTRACT: With a small, circular and non-protein coding RNA genome, viroids are the smallest infectious agents. They invade plants, which in turn may develop symptoms. Since their discovery about 50 years ago, more than thirty viroids have been reported and classified using as species demarcation less than 90 per cent sequence identity on the overall genome and evidence of biological divergence with respect to the closest related viroids. In the last few years, new viroids have been identified that infect latently their (frequently) woody hosts and have a narrow experimental hosts range, complicating and slowing down studies on their biology. As a consequence, several viroids are still waiting for classification. Moreover, the number of new viroids is expected to increase in the next years due to the use of high-throughput sequencing technologies with diagnostics purposes. Therefore, establishment of reliable species demarcation criteria mainly based on molecular features of viroids is needed. Here, viroid classification is reassessed and a scheme based on pairwise sequence identity matrices is developed. After identifying a threshold pairwise identity score (PWIS) for each viroid genus, to be used as a species demarcation criterion, we show that most of those yet unclassified viroids can be assigned to a known or to a new species, thus limiting the need for additional biological evidence to only a few more complex situations. The advantages of this PWIS-based method are that the proposed identity thresholds for species demarcations are not arbitrarily established and evidence for biological divergence is not mandatory. Importantly, the current classification is not essentially modified. A protocol for a tentative fast classification of new viroids according to the proposed approach is also provided.

SUBMITTER: Chiumenti M

PROVIDER: S-EPMC7887442 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature

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Reassessing species demarcation criteria in viroid taxonomy by pairwise identity matrices.

Chiumenti Michela M Navarro Beatriz B Candresse Thierry T Flores Ricardo R Di Serio Francesco F

Virus evolution 20210125 1

With a small, circular and non-protein coding RNA genome, viroids are the smallest infectious agents. They invade plants, which in turn may develop symptoms. Since their discovery about 50 years ago, more than thirty viroids have been reported and classified using as species demarcation less than 90 per cent sequence identity on the overall genome and evidence of biological divergence with respect to the closest related viroids. In the last few years, new viroids have been identified that infect ...[more]

PMID: 33623708

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Project description:Understanding how proteins mutate is critical to solving a host of biological problems. Mutations occur when an amino acid is substituted for another in a protein sequence. The set of likelihoods for amino acid substitutions is stored in a matrix and input to alignment algorithms. The quality of the resulting alignment is used to assess the similarity of two or more sequences and can vary according to assumptions modeled by the substitution matrix. Substitution strategies with minor parameter variations are often grouped together in families. For example, the BLOSUM and PAM matrix families are commonly used because they provide a standard, predefined way of modeling substitutions. However, researchers often do not know if a given matrix family or any individual matrix within a family is the most suitable. Furthermore, predefined matrix families may inaccurately reflect a particular hypothesis that a researcher wishes to model or otherwise result in unsatisfactory alignments. In these cases, the ability to compare the effects of one or more custom matrices may be needed. This laborious process is often performed manually because the ability to simultaneously load multiple matrices and then compare their effects on alignments is not readily available in current software tools. This paper presents SubVis, an interactive R package for loading and applying multiple substitution matrices to pairwise alignments. Users can simultaneously explore alignments resulting from multiple predefined and custom substitution matrices. SubVis utilizes several of the alignment functions found in R, a common language among protein scientists. Functions are tied together with the Shiny platform which allows the modification of input parameters. Information regarding alignment quality and individual amino acid substitutions is displayed with the JavaScript language which provides interactive visualizations for revealing both high-level and low-level alignment information.

Dataset Information

Reassessing species demarcation criteria in viroid taxonomy by pairwise identity matrices.

Publications

Reassessing species demarcation criteria in viroid taxonomy by pairwise identity matrices.

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