RDP5: a computer program for analyzing recombination in, and removing signals of recombination from, nucleotide sequence datasets.


Journal

Virus evolution
ISSN: 2057-1577
Titre abrégé: Virus Evol
Pays: England
ID NLM: 101664675

Informations de publication

Date de publication:
Jan 2021
Historique:
entrez: 3 5 2021
pubmed: 4 5 2021
medline: 4 5 2021
Statut: epublish

Résumé

For the past 20 years, the recombination detection program (RDP) project has focused on the development of a fast, flexible, and easy to use Windows-based recombination analysis tool. Whereas previous versions of this tool have relied on considerable user-mediated verification of detected recombination events, the latest iteration, RDP5, is automated enough that it can be integrated within analysis pipelines and run without any user input. The main innovation enabling this degree of automation is the implementation of statistical tests to identify recombination signals that could be attributable to evolutionary processes other than recombination. The additional analysis time required for these tests has been offset by algorithmic improvements throughout the program such that, relative to RDP4, RDP5 will still run up to five times faster and be capable of analyzing alignments containing twice as many sequences (up to 5000) that are five times longer (up to 50 million sites). For users wanting to remove signals of recombination from their datasets before using them for downstream phylogenetics-based molecular evolution analyses, RDP5 can disassemble detected recombinant sequences into their constituent parts and output a variety of different recombination-free datasets in an array of different alignment formats. For users that are interested in exploring the recombination history of their datasets, all the manual verification, data management and data visualization components of RDP5 have been extensively updated to minimize the amount of time needed by users to individually verify and refine the program's interpretation of each of the individual recombination events that it detects.

Identifiants

pubmed: 33936774
doi: 10.1093/ve/veaa087
pii: veaa087
pmc: PMC8062008
doi:

Types de publication

Journal Article

Langues

eng

Pagination

veaa087

Informations de copyright

© The Author(s) 2020. Published by Oxford University Press.

Références

Virus Evol. 2015 May 26;1(1):vev003
pubmed: 27774277
Bioinformatics. 2005 Oct 1;21(19):3797-800
pubmed: 16076886
Bioinformatics. 2006 Oct 15;22(20):2493-9
pubmed: 16895925
Cell Host Microbe. 2018 Oct 10;24(4):593-599.e3
pubmed: 30269971
Genetics. 2000 Oct;156(2):879-91
pubmed: 11014833
Genetics. 2010 Apr;184(4):1133-9
pubmed: 20124027
Genetics. 2006 Apr;172(4):2665-81
pubmed: 16489234
Mol Biol Evol. 1998 May;15(5):590-9
pubmed: 9580989
Mol Ecol Resour. 2011 Nov;11(6):943-55
pubmed: 21592314
BMC Bioinformatics. 2006 May 22;7:265
pubmed: 16716226
Bioinformatics. 2014 May 1;30(9):1312-3
pubmed: 24451623
PLoS One. 2016 Oct 19;11(10):e0164435
pubmed: 27760182
Mol Biol Evol. 2000 Oct;17(10):1578-9
pubmed: 11018163
Genetics. 2002 Mar;160(3):1231-41
pubmed: 11901136

Auteurs

Darren P Martin (DP)

Department of Integrative Biomedical Sciences, Computational Biology Group, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Anzio Road Observatory, Cape Town 7549, South Africa.

Arvind Varsani (A)

The Biodesign Center for Fundamental and Applied Microbiomics, Center for Evolution and Medicine, School of Life Sciences, Arizona State University, Tempe, AZ 85287-5001, USA.
Structural Biology Research Unit, Department of Integrative Biomedical Sciences, University of Cape Town, Observatory, Cape Town 7701, South Africa.

Philippe Roumagnac (P)

BGPI, Univ Montpellier, CIRAD, INRAE, L'Institut Agro, Montpellier, France.

Gerrit Botha (G)

Department of Integrative Biomedical Sciences, Computational Biology Group, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Anzio Road Observatory, Cape Town 7549, South Africa.

Suresh Maslamoney (S)

Department of Integrative Biomedical Sciences, Computational Biology Group, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Anzio Road Observatory, Cape Town 7549, South Africa.

Tiana Schwab (T)

Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne CH-1015, witzerland.

Zena Kelz (Z)

Department of Integrative Biomedical Sciences, Computational Biology Group, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Anzio Road Observatory, Cape Town 7549, South Africa.

Venkatesh Kumar (V)

Department of Integrative Biomedical Sciences, Computational Biology Group, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Anzio Road Observatory, Cape Town 7549, South Africa.
Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden.

Ben Murrell (B)

Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden.

Classifications MeSH