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The effect of phylogenetic signal reduction on genotyping of hepatitis E viruses of the species Orthohepevirus A.

ABSTRACT: Commonly, hepatitis E virus (HEV) sequences are genotyped phylogenetically using subgenomic sequences. This paper examines this practice with sequences from members of the species Orthohepevirus A. As the length of sequences becomes progressively shorter, the number of identical sequences in an alignment tends to increase; however, these sequences retain their genotypic identity down to 100 nucleotides in length. The best substitution models tend to become less parameterized, bootstrap support decreases, and trees created from short subgenomic fragments are less likely to be isomorphic with trees from longer subgenomic fragments or complete genome sequences. However, it is still possible to correctly genotype sequences using fragments as small as 200 nucleotides. While it is possible to correctly genotype sequences with short subgenomic sequences, the estimates of evolutionary relationships between genotypes degrade to such an extent that sequences below 1600 nucleotides long cannot be used reliably to study these relationships, and comparisons of trees from different subgenomic regions with little or no sequence overlap can be problematic. Subtyping may be done, but it requires a careful examination of the region to be used to ensure that it correctly resolves the subtypes.

SUBMITTER: Purdy MA

PROVIDER: S-EPMC5678955 | biostudies-literature | 2017 Mar

REPOSITORIES: biostudies-literature

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The effect of phylogenetic signal reduction on genotyping of hepatitis E viruses of the species Orthohepevirus A.

Purdy Michael A MA Sue Amanda A

Archives of virology 20161105 3

Commonly, hepatitis E virus (HEV) sequences are genotyped phylogenetically using subgenomic sequences. This paper examines this practice with sequences from members of the species Orthohepevirus A. As the length of sequences becomes progressively shorter, the number of identical sequences in an alignment tends to increase; however, these sequences retain their genotypic identity down to 100 nucleotides in length. The best substitution models tend to become less parameterized, bootstrap support d ...[more]

PMID: 27817109

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Project description:A new word, phylodynamics, was coined to emphasize the interconnection between phylogenetic properties, as observed for instance in a phylogenetic tree, and the epidemic dynamics of viruses, where selection, mediated by the host immune response, and transmission play a crucial role. The challenges faced when investigating the evolution of RNA viruses call for a virtuous loop of data collection, data analysis and modeling. This already resulted both in the collection of massive sequences databases and in the formulation of hypotheses on the main mechanisms driving qualitative differences observed in the (reconstructed) evolutionary patterns of different RNA viruses. Qualitatively, it has been observed that selection driven by the host immune response induces an uneven survival ability among co-existing strains. As a consequence, the imbalance level of the phylogenetic tree is manifestly more pronounced if compared to the case when the interaction with the host immune system does not play a central role in the evolutive dynamics. While many imbalance metrics have been introduced, reliable methods to discriminate in a quantitative way different level of imbalance are still lacking. In our work, we reconstruct and analyze the phylogenetic trees of six RNA viruses, with a special emphasis on the human Influenza A virus, due to its relevance for vaccine preparation as well as for the theoretical challenges it poses due to its peculiar evolutionary dynamics. We focus in particular on topological properties. We point out the limitation featured by standard imbalance metrics, and we introduce a new methodology with which we assign the correct imbalance level of the phylogenetic trees, in agreement with the phylodynamics of the viruses. Our thorough quantitative analysis allows for a deeper understanding of the evolutionary dynamics of the considered RNA viruses, which is crucial in order to provide a valuable framework for a quantitative assessment of theoretical predictions.

Dataset Information

The effect of phylogenetic signal reduction on genotyping of hepatitis E viruses of the species Orthohepevirus A.

Publications

The effect of phylogenetic signal reduction on genotyping of hepatitis E viruses of the species Orthohepevirus A.

Similar Datasets

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