Tetranucleotide usage highlights genomic heterogeneity among mycobacteriophages.
Identifieur interne : 001737 ( PubMed/Corpus ); précédent : 001736; suivant : 001738Tetranucleotide usage highlights genomic heterogeneity among mycobacteriophages.
Auteurs : Benjamin Siranosian ; Sudheesha Perera ; Edward Williams ; Chen Ye ; Christopher De Graffenried ; Peter ShankSource :
- F1000Research [ 2046-1402 ] ; 2015.
Abstract
Background The genomic sequences of mycobacteriophages, phages infecting mycobacterial hosts, are diverse and mosaic. Mycobacteriophages often share little nucleotide similarity, but most of them have been grouped into lettered clusters and further into subclusters. Traditionally, mycobacteriophage genomes are analyzed based on sequence alignment or knowledge of gene content. However, these approaches are computationally expensive and can be ineffective for significantly diverged sequences. As an alternative to alignment-based genome analysis, we evaluated tetranucleotide usage in mycobacteriophage genomes. These methods make it easier to characterize features of the mycobacteriophage population at many scales. Description We computed tetranucleotide usage deviation (TUD), the ratio of observed counts of 4-mers in a genome to the expected count under a null model. TUD values are comparable between members of a phage subcluster and distinct between subclusters. With few exceptions, neighbor joining phylogenetic trees and hierarchical clustering dendrograms constructed using TUD values place phages in a monophyletic clade with members of the same subcluster. Regions in a genome with exceptional TUD values can point to interesting features of genomic architecture. Finally, we found that subcluster B3 mycobacteriophages contain significantly overrepresented 4-mers and 6-mers that are atypical of phage genomes. Conclusions Statistics based on tetranucleotide usage support established clustering of mycobacteriophages and can uncover interesting relationships within and between sequenced phage genomes. These methods are efficient to compute and do not require sequence alignment or knowledge of gene content. The code to download mycobacteriophage genome sequences and reproduce our analysis is freely available at https://github.com/bsiranosian/tango_final.
DOI: 10.12688/f1000research.6077.2
PubMed: 27134721
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Mycobacteriophages often share little nucleotide similarity, but most of them have been grouped into lettered clusters and further into subclusters. Traditionally, mycobacteriophage genomes are analyzed based on sequence alignment or knowledge of gene content. However, these approaches are computationally expensive and can be ineffective for significantly diverged sequences. As an alternative to alignment-based genome analysis, we evaluated tetranucleotide usage in mycobacteriophage genomes. These methods make it easier to characterize features of the mycobacteriophage population at many scales. Description We computed tetranucleotide usage deviation (TUD), the ratio of observed counts of 4-mers in a genome to the expected count under a null model. TUD values are comparable between members of a phage subcluster and distinct between subclusters. With few exceptions, neighbor joining phylogenetic trees and hierarchical clustering dendrograms constructed using TUD values place phages in a monophyletic clade with members of the same subcluster. Regions in a genome with exceptional TUD values can point to interesting features of genomic architecture. Finally, we found that subcluster B3 mycobacteriophages contain significantly overrepresented 4-mers and 6-mers that are atypical of phage genomes. Conclusions Statistics based on tetranucleotide usage support established clustering of mycobacteriophages and can uncover interesting relationships within and between sequenced phage genomes. These methods are efficient to compute and do not require sequence alignment or knowledge of gene content. The code to download mycobacteriophage genome sequences and reproduce our analysis is freely available at https://github.com/bsiranosian/tango_final. </div></front></TEI><pubmed><MedlineCitation Status="PubMed-not-MEDLINE" VersionID="2" VersionDate="2015/10/30" Owner="NLM"><PMID Version="2">27134721</PMID><DateCompleted><Year>2016</Year><Month>05</Month><Day>10</Day></DateCompleted><DateRevised><Year>2018</Year><Month>11</Month><Day>13</Day></DateRevised><Article PubModel="Electronic-eCollection"><Journal><ISSN IssnType="Print">2046-1402</ISSN><JournalIssue CitedMedium="Print"><Volume>4</Volume><PubDate><Year>2015</Year></PubDate></JournalIssue><Title>F1000Research</Title><ISOAbbreviation>F1000Res</ISOAbbreviation></Journal><ArticleTitle>Tetranucleotide usage highlights genomic heterogeneity among mycobacteriophages.</ArticleTitle><Pagination><MedlinePgn>36</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.12688/f1000research.6077.2</ELocationID><Abstract><AbstractText>Background The genomic sequences of mycobacteriophages, phages infecting mycobacterial hosts, are diverse and mosaic. Mycobacteriophages often share little nucleotide similarity, but most of them have been grouped into lettered clusters and further into subclusters. Traditionally, mycobacteriophage genomes are analyzed based on sequence alignment or knowledge of gene content. However, these approaches are computationally expensive and can be ineffective for significantly diverged sequences. As an alternative to alignment-based genome analysis, we evaluated tetranucleotide usage in mycobacteriophage genomes. These methods make it easier to characterize features of the mycobacteriophage population at many scales. Description We computed tetranucleotide usage deviation (TUD), the ratio of observed counts of 4-mers in a genome to the expected count under a null model. TUD values are comparable between members of a phage subcluster and distinct between subclusters. With few exceptions, neighbor joining phylogenetic trees and hierarchical clustering dendrograms constructed using TUD values place phages in a monophyletic clade with members of the same subcluster. Regions in a genome with exceptional TUD values can point to interesting features of genomic architecture. Finally, we found that subcluster B3 mycobacteriophages contain significantly overrepresented 4-mers and 6-mers that are atypical of phage genomes. Conclusions Statistics based on tetranucleotide usage support established clustering of mycobacteriophages and can uncover interesting relationships within and between sequenced phage genomes. These methods are efficient to compute and do not require sequence alignment or knowledge of gene content. The code to download mycobacteriophage genome sequences and reproduce our analysis is freely available at https://github.com/bsiranosian/tango_final. </AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Siranosian</LastName><ForeName>Benjamin</ForeName><Initials>B</Initials><AffiliationInfo><Affiliation>Center for Computational Molecular Biology, Brown University, Providence, RI, 02912, USA; Division of Biology and Medicine, Brown University, Providence, RI, 02912, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Perera</LastName><ForeName>Sudheesha</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>Division of Biology and Medicine, Brown University, Providence, RI, 02912, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Williams</LastName><ForeName>Edward</ForeName><Initials>E</Initials><AffiliationInfo><Affiliation>Division of Biology and Medicine, Brown University, Providence, RI, 02912, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Ye</LastName><ForeName>Chen</ForeName><Initials>C</Initials><AffiliationInfo><Affiliation>Division of Biology and Medicine, Brown University, Providence, RI, 02912, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>de Graffenried</LastName><ForeName>Christopher</ForeName><Initials>C</Initials><AffiliationInfo><Affiliation>Department of Molecular Microbiology and Immunology, Brown University, Providence, RI, 02912, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Shank</LastName><ForeName>Peter</ForeName><Initials>P</Initials><AffiliationInfo><Affiliation>Department of Molecular Microbiology and Immunology, Brown University, Providence, RI, 02912, USA.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate 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