<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>8(8)</volume><submitter>Wang HI</submitter><pubmed_abstract>Multipartite viruses contain more than one distinctive genome component, and the origin of multipartite viruses has been suggested to evolve from a non-segmented wild-type virus. To explore whether recombination also plays a role in the evolution of the genomes of multipartite viruses, we developed a systematic approach that employs motif-finding tools to detect conserved motifs from divergent genomic regions and applies statistical approaches to select high-confidence motifs. The information that this approach provides helps us understand the evolution of viruses. In this study, we compared our motif-based strategy with current alignment-based recombination-detecting methods and applied our methods to the analysis of multipartite single-stranded plant DNA viruses, including bipartite bego</pubmed_abstract><journal>PloS one</journal><pagination>e71565</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC3735576</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Application of motif-based tools on evolutionary analysis of multipartite single-stranded DNA viruses.</pubmed_title><pmcid>PMC3735576</pmcid><pubmed_authors>Tang C</pubmed_authors><pubmed_authors>Chang CH</pubmed_authors><pubmed_authors>Yeh HH</pubmed_authors><pubmed_authors>Fu HC</pubmed_authors><pubmed_authors>Lin PH</pubmed_authors><pubmed_authors>Wang HI</pubmed_authors></additional><is_claimable>false</is_claimable><name>Application of motif-based tools on evolutionary analysis of multipartite single-stranded DNA viruses.</name><description>Multipartite viruses contain more than one distinctive genome component, and the origin of multipartite viruses has been suggested to evolve from a non-segmented wild-type virus. To explore whether recombination also plays a role in the evolution of the genomes of multipartite viruses, we developed a systematic approach that employs motif-finding tools to detect conserved motifs from divergent genomic regions and applies statistical approaches to select high-confidence motifs. The information that this approach provides helps us understand the evolution of viruses. In this study, we compared our motif-based strategy with current alignment-based recombination-detecting methods and applied our methods to the analysis of multipartite single-stranded plant DNA viruses, including bipartite bego</description><dates><release>2013-01-01T00:00:00Z</release><publication>2013</publication><modification>2026-05-30T09:11:46.544Z</modification><creation>2025-07-28T03:04:15.791Z</creation></dates><accession>S-EPMC3735576</accession><cross_references><pubmed>23936517</pubmed><doi>10.1371/journal.pone.0071565</doi></cross_references></HashMap>