Classifying the Unclassified: A Phage Classification Method
This work reports the method ClassiPhage to classify phage genomes using sequence derived taxonomic features. ClassiPhage uses a set of phage specific Hidden Markov Models (HMMs) generated from clusters of related proteins. The method was validated on all publicly available genomes of phages that ar...
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Published in | Viruses Vol. 11; no. 2; p. 195 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
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Abstract | This work reports the method ClassiPhage to classify phage genomes using sequence derived taxonomic features. ClassiPhage uses a set of phage specific Hidden Markov Models (HMMs) generated from clusters of related proteins. The method was validated on all publicly available genomes of phages that are known to infect Vibrionaceae. The phages belong to the well-described phage families of Myoviridae, Podoviridae, Siphoviridae, and Inoviridae. The achieved classification is consistent with the assignments of the International Committee on Taxonomy of Viruses (ICTV), all tested phages were assigned to the corresponding group of the ICTV-database. In addition, 44 out of 58 genomes of Vibrio phages not yet classified could be assigned to a phage family. The remaining 14 genomes may represent phages of new families or subfamilies. Comparative genomics indicates that the ability of the approach to identify and classify phages is correlated to the conserved genomic organization. ClassiPhage classifies phages exclusively based on genome sequence data and can be applied on distinct phage genomes as well as on prophage regions within host genomes. Possible applications include (a) classifying phages from assembled metagenomes; and (b) the identification and classification of integrated prophages and the splitting of phage families into subfamilies. |
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AbstractList | This work reports the method ClassiPhage to classify phage genomes using sequence derived taxonomic features. ClassiPhage uses a set of phage specific Hidden Markov Models (HMMs) generated from clusters of related proteins. The method was validated on all publicly available genomes of phages that are known to infect Vibrionaceae. The phages belong to the well-described phage families of Myoviridae, Podoviridae, Siphoviridae, and Inoviridae. The achieved classification is consistent with the assignments of the International Committee on Taxonomy of Viruses (ICTV), all tested phages were assigned to the corresponding group of the ICTV-database. In addition, 44 out of 58 genomes of Vibrio phages not yet classified could be assigned to a phage family. The remaining 14 genomes may represent phages of new families or subfamilies. Comparative genomics indicates that the ability of the approach to identify and classify phages is correlated to the conserved genomic organization. ClassiPhage classifies phages exclusively based on genome sequence data and can be applied on distinct phage genomes as well as on prophage regions within host genomes. Possible applications include (a) classifying phages from assembled metagenomes; and (b) the identification and classification of integrated prophages and the splitting of phage families into subfamilies.This work reports the method ClassiPhage to classify phage genomes using sequence derived taxonomic features. ClassiPhage uses a set of phage specific Hidden Markov Models (HMMs) generated from clusters of related proteins. The method was validated on all publicly available genomes of phages that are known to infect Vibrionaceae. The phages belong to the well-described phage families of Myoviridae, Podoviridae, Siphoviridae, and Inoviridae. The achieved classification is consistent with the assignments of the International Committee on Taxonomy of Viruses (ICTV), all tested phages were assigned to the corresponding group of the ICTV-database. In addition, 44 out of 58 genomes of Vibrio phages not yet classified could be assigned to a phage family. The remaining 14 genomes may represent phages of new families or subfamilies. Comparative genomics indicates that the ability of the approach to identify and classify phages is correlated to the conserved genomic organization. ClassiPhage classifies phages exclusively based on genome sequence data and can be applied on distinct phage genomes as well as on prophage regions within host genomes. Possible applications include (a) classifying phages from assembled metagenomes; and (b) the identification and classification of integrated prophages and the splitting of phage families into subfamilies. This work reports the method ClassiPhage to classify phage genomes using sequence derived taxonomic features. ClassiPhage uses a set of phage specific Hidden Markov Models (HMMs) generated from clusters of related proteins. The method was validated on all publicly available genomes of phages that are known to infect Vibrionaceae. The phages belong to the well-described phage families of Myoviridae, Podoviridae, Siphoviridae, and Inoviridae. The achieved classification is consistent with the assignments of the International Committee on Taxonomy of Viruses (ICTV), all tested phages were assigned to the corresponding group of the ICTV-database. In addition, 44 out of 58 genomes of Vibrio phages not yet classified could be assigned to a phage family. The remaining 14 genomes may represent phages of new families or subfamilies. Comparative genomics indicates that the ability of the approach to identify and classify phages is correlated to the conserved genomic organization. ClassiPhage classifies phages exclusively based on genome sequence data and can be applied on distinct phage genomes as well as on prophage regions within host genomes. Possible applications include (a) classifying phages from assembled metagenomes; and (b) the identification and classification of integrated prophages and the splitting of phage families into subfamilies. This work reports the method ClassiPhage to classify phage genomes using sequence derived taxonomic features. ClassiPhage uses a set of phage specific Hidden Markov Models (HMMs) generated from clusters of related proteins. The method was validated on all publicly available genomes of phages that are known to infect Vibrionaceae . The phages belong to the well-described phage families of Myoviridae , Podoviridae , Siphoviridae , and Inoviridae . The achieved classification is consistent with the assignments of the International Committee on Taxonomy of Viruses (ICTV), all tested phages were assigned to the corresponding group of the ICTV-database. In addition, 44 out of 58 genomes of Vibrio phages not yet classified could be assigned to a phage family. The remaining 14 genomes may represent phages of new families or subfamilies. Comparative genomics indicates that the ability of the approach to identify and classify phages is correlated to the conserved genomic organization. ClassiPhage classifies phages exclusively based on genome sequence data and can be applied on distinct phage genomes as well as on prophage regions within host genomes. Possible applications include (a) classifying phages from assembled metagenomes; and (b) the identification and classification of integrated prophages and the splitting of phage families into subfamilies. This work reports the method ClassiPhage to classify phage genomes using sequence derived taxonomic features. ClassiPhage uses a set of phage specific Hidden Markov Models (HMMs) generated from clusters of related proteins. The method was validated on all publicly available genomes of phages that are known to infect . The phages belong to the well-described phage families of , , , and . The achieved classification is consistent with the assignments of the International Committee on Taxonomy of Viruses (ICTV), all tested phages were assigned to the corresponding group of the ICTV-database. In addition, 44 out of 58 genomes of phages not yet classified could be assigned to a phage family. The remaining 14 genomes may represent phages of new families or subfamilies. Comparative genomics indicates that the ability of the approach to identify and classify phages is correlated to the conserved genomic organization. ClassiPhage classifies phages exclusively based on genome sequence data and can be applied on distinct phage genomes as well as on prophage regions within host genomes. Possible applications include (a) classifying phages from assembled metagenomes; and (b) the identification and classification of integrated prophages and the splitting of phage families into subfamilies. |
Author | Dietrich, Sascha Liesegang, Heiko Klama, Sandra Chibani, Cynthia Maria Farr, Anton |
AuthorAffiliation | Institute for Microbiology and Genetics, Georg-August University Goettingen, Grisebachstr. 8, 37077 Goettingen, Germany; cchiban@gwdg.de (C.M.C.); anton.farr@stud.uni-goettingen.de (A.F.); sandra.klama@gwdg.de (S.K.); sascha.dietrich@uni-wuerzburg.de (S.D.) |
AuthorAffiliation_xml | – name: Institute for Microbiology and Genetics, Georg-August University Goettingen, Grisebachstr. 8, 37077 Goettingen, Germany; cchiban@gwdg.de (C.M.C.); anton.farr@stud.uni-goettingen.de (A.F.); sandra.klama@gwdg.de (S.K.); sascha.dietrich@uni-wuerzburg.de (S.D.) |
Author_xml | – sequence: 1 givenname: Cynthia Maria surname: Chibani fullname: Chibani, Cynthia Maria – sequence: 2 givenname: Anton surname: Farr fullname: Farr, Anton – sequence: 3 givenname: Sandra surname: Klama fullname: Klama, Sandra – sequence: 4 givenname: Sascha surname: Dietrich fullname: Dietrich, Sascha – sequence: 5 givenname: Heiko orcidid: 0000-0003-1792-2047 surname: Liesegang fullname: Liesegang, Heiko |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/30813498$$D View this record in MEDLINE/PubMed |
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Keywords | protein coding sequences Keywords Podoviridae Siphoviridae Vibrionaceae phages Hidden Markov Models Inoviridae classification Myoviridae vibriophages |
Language | English |
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SubjectTerms | Bacteriophage Typing Bacteriophages - classification Bioinformatics Cholera Classification Clustering Conserved sequence Datasets Genome, Viral Genomes Genomics Hidden Markov Models Inoviridae Lysogeny Markov Chains Metagenome Myoviridae New families Nucleotide sequence Phages Phylogenetics Phylogeny Podoviridae Podoviridae - classification Prophages Prophages - classification protein coding sequences Proteins Siphoviridae Siphoviridae - classification Taxonomy Vibrionaceae vibriophages Virulence Virus Integration Viruses |
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Title | Classifying the Unclassified: A Phage Classification Method |
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