Literature DB >> 35311574

Computational Tools for the Analysis of Uncultivated Phage Genomes.

Juan Sebastián Andrade-Martínez1, Laura Carolina Camelo Valera1, Luis Alberto Chica Cárdenas1, Laura Forero-Junco1,2, Gamaliel López-Leal1, J Leonardo Moreno-Gallego1,3, Guillermo Rangel-Pineros1,4, Alejandro Reyes1,5.   

Abstract

Over a century of bacteriophage research has uncovered a plethora of fundamental aspects of their biology, ecology, and evolution. Furthermore, the introduction of community-level studies through metagenomics has revealed unprecedented insights on the impact that phages have on a range of ecological and physiological processes. It was not until the introduction of viral metagenomics that we began to grasp the astonishing breadth of genetic diversity encompassed by phage genomes. Novel phage genomes have been reported from a diverse range of biomes at an increasing rate, which has prompted the development of computational tools that support the multilevel characterization of these novel phages based solely on their genome sequences. The impact of these technologies has been so large that, together with MAGs (Metagenomic Assembled Genomes), we now have UViGs (Uncultivated Viral Genomes), which are now officially recognized by the International Committee for the Taxonomy of Viruses (ICTV), and new taxonomic groups can now be created based exclusively on genomic sequence information. Even though the available tools have immensely contributed to our knowledge of phage diversity and ecology, the ongoing surge in software programs makes it challenging to keep up with them and the purpose each one is designed for. Therefore, in this review, we describe a comprehensive set of currently available computational tools designed for the characterization of phage genome sequences, focusing on five specific analyses: (i) assembly and identification of phage and prophage sequences, (ii) phage genome annotation, (iii) phage taxonomic classification, (iv) phage-host interaction analysis, and (v) phage microdiversity.

Entities:  

Keywords:  computational analysis; microdiversity; phage and prophage identification; phage annotation; phage metagenomics; phage taxonomy; phage-host interaction; uncultivated viruses; viromes

Mesh:

Year:  2022        PMID: 35311574      PMCID: PMC9199400          DOI: 10.1128/mmbr.00004-21

Source DB:  PubMed          Journal:  Microbiol Mol Biol Rev        ISSN: 1092-2172            Impact factor:   13.044


  146 in total

1.  Increase in taxonomic assignment efficiency of viral reads in metagenomic studies.

Authors:  S François; D Filloux; M Frayssinet; P Roumagnac; D P Martin; M Ogliastro; R Froissart
Journal:  Virus Res       Date:  2017-11-14       Impact factor: 3.303

2.  rnaSPAdes: a de novo transcriptome assembler and its application to RNA-Seq data.

Authors:  Elena Bushmanova; Dmitry Antipov; Alla Lapidus; Andrey D Prjibelski
Journal:  Gigascience       Date:  2019-09-01       Impact factor: 6.524

3.  PHACTS, a computational approach to classifying the lifestyle of phages.

Authors:  Katelyn McNair; Barbara A Bailey; Robert A Edwards
Journal:  Bioinformatics       Date:  2012-01-11       Impact factor: 6.937

4.  Prediction of virus-host infectious association by supervised learning methods.

Authors:  Mengge Zhang; Lianping Yang; Jie Ren; Nathan A Ahlgren; Jed A Fuhrman; Fengzhu Sun
Journal:  BMC Bioinformatics       Date:  2017-03-14       Impact factor: 3.169

5.  Long-read viral metagenomics captures abundant and microdiverse viral populations and their niche-defining genomic islands.

Authors:  Joanna Warwick-Dugdale; Natalie Solonenko; Karen Moore; Lauren Chittick; Ann C Gregory; Michael J Allen; Matthew B Sullivan; Ben Temperton
Journal:  PeerJ       Date:  2019-04-25       Impact factor: 2.984

6.  A Method for Improving the Accuracy and Efficiency of Bacteriophage Genome Annotation.

Authors:  Alicia Salisbury; Philippos K Tsourkas
Journal:  Int J Mol Sci       Date:  2019-07-10       Impact factor: 5.923

7.  Minimum Information about an Uncultivated Virus Genome (MIUViG).

Authors:  Simon Roux; Evelien M Adriaenssens; Bas E Dutilh; Eugene V Koonin; Andrew M Kropinski; Mart Krupovic; Jens H Kuhn; Rob Lavigne; J Rodney Brister; Arvind Varsani; Clara Amid; Ramy K Aziz; Seth R Bordenstein; Peer Bork; Mya Breitbart; Guy R Cochrane; Rebecca A Daly; Christelle Desnues; Melissa B Duhaime; Joanne B Emerson; François Enault; Jed A Fuhrman; Pascal Hingamp; Philip Hugenholtz; Bonnie L Hurwitz; Natalia N Ivanova; Jessica M Labonté; Kyung-Bum Lee; Rex R Malmstrom; Manuel Martinez-Garcia; Ilene Karsch Mizrachi; Hiroyuki Ogata; David Páez-Espino; Marie-Agnès Petit; Catherine Putonti; Thomas Rattei; Alejandro Reyes; Francisco Rodriguez-Valera; Karyna Rosario; Lynn Schriml; Frederik Schulz; Grieg F Steward; Matthew B Sullivan; Shinichi Sunagawa; Curtis A Suttle; Ben Temperton; Susannah G Tringe; Rebecca Vega Thurber; Nicole S Webster; Katrine L Whiteson; Steven W Wilhelm; K Eric Wommack; Tanja Woyke; Kelly C Wrighton; Pelin Yilmaz; Takashi Yoshida; Mark J Young; Natalya Yutin; Lisa Zeigler Allen; Nikos C Kyrpides; Emiley A Eloe-Fadrosh
Journal:  Nat Biotechnol       Date:  2018-12-17       Impact factor: 54.908

8.  Trends of Microdiversity Reveal Depth-Dependent Evolutionary Strategies of Viruses in the Mediterranean.

Authors:  Felipe Hernandes Coutinho; Riccardo Rosselli; Francisco Rodríguez-Valera
Journal:  mSystems       Date:  2019-11-05       Impact factor: 6.496

9.  Analysis of metagenome-assembled viral genomes from the human gut reveals diverse putative CrAss-like phages with unique genomic features.

Authors:  Natalya Yutin; Sean Benler; Sergei A Shmakov; Yuri I Wolf; Igor Tolstoy; Mike Rayko; Dmitry Antipov; Pavel A Pevzner; Eugene V Koonin
Journal:  Nat Commun       Date:  2021-02-16       Impact factor: 14.919

10.  MetaBAT 2: an adaptive binning algorithm for robust and efficient genome reconstruction from metagenome assemblies.

Authors:  Dongwan D Kang; Feng Li; Edward Kirton; Ashleigh Thomas; Rob Egan; Hong An; Zhong Wang
Journal:  PeerJ       Date:  2019-07-26       Impact factor: 2.984

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  1 in total

1.  The power of unbiased phenotypic screens - cellulose as a first receptor for the Schitoviridae phage S6 of Erwinia amylovora.

Authors:  Ute Römling
Journal:  Environ Microbiol       Date:  2022-04-19       Impact factor: 5.476

  1 in total

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