1
|
Strobel HM, Stuart EC, Meyer JR. A Trait-Based Approach to Predicting Viral Host-Range Evolvability. Annu Rev Virol 2022; 9:139-156. [PMID: 36173699 DOI: 10.1146/annurev-virology-091919-092003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Predicting the evolution of virus host range has proven to be extremely difficult, in part because of the sheer diversity of viruses, each with unique biology and ecological interactions. We have not solved this problem, but to make the problem more tractable, we narrowed our focus to three traits intrinsic to all viruses that may play a role in host-range evolvability: mutation rate, recombination rate, and phenotypic heterogeneity. Although each trait should increase evolvability, they cannot do so unbounded because fitness trade-offs limit the ability of all three traits to maximize evolvability. By examining these constraints, we can begin to identify groups of viruses with suites of traits that make them especially concerning, as well as ecological and environmental conditions that might push evolution toward accelerating host-range expansion.
Collapse
Affiliation(s)
- Hannah M Strobel
- Division of Biological Sciences, University of California, San Diego, La Jolla, California, USA;
| | - Elizabeth C Stuart
- Division of Biological Sciences, University of California, San Diego, La Jolla, California, USA;
| | - Justin R Meyer
- Division of Biological Sciences, University of California, San Diego, La Jolla, California, USA;
| |
Collapse
|
2
|
Tongo M, Martin DP, Dorfman JR. Elucidation of Early Evolution of HIV-1 Group M in the Congo Basin Using Computational Methods. Genes (Basel) 2021; 12:genes12040517. [PMID: 33918115 PMCID: PMC8065694 DOI: 10.3390/genes12040517] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 03/26/2021] [Accepted: 03/26/2021] [Indexed: 11/16/2022] Open
Abstract
The Congo Basin region is believed to be the site of the cross-species transmission event that yielded HIV-1 group M (HIV-1M). It is thus likely that the virus has been present and evolving in the region since that cross-species transmission. As HIV-1M was only discovered in the early 1980s, our directly observed record of the epidemic is largely limited to the past four decades. Nevertheless, by exploiting the genetic relatedness of contemporary HIV-1M sequences, phylogenetic methods provide a powerful framework for investigating simultaneously the evolutionary and epidemiologic history of the virus. Such an approach has been taken to find that the currently classified HIV-1 M subtypes and Circulating Recombinant Forms (CRFs) do not give a complete view of HIV-1 diversity. In addition, the currently identified major HIV-1M subtypes were likely genetically predisposed to becoming a major component of the present epidemic, even before the events that resulted in the global epidemic. Further efforts have identified statistically significant hot- and cold-spots of HIV-1M subtypes sequence inheritance in genomic regions of recombinant forms. In this review we provide ours and others recent findings on the emergence and spread of HIV-1M variants in the region, which have provided insights into the early evolution of this virus.
Collapse
Affiliation(s)
- Marcel Tongo
- Center for Research on Emerging and Re-Emerging Diseases (CREMER), Institute of Medical Research and Study of Medicinal Plants (IMPM), Yaoundé, Cameroon
- Correspondence:
| | - Darren P. Martin
- Division of Computational Biology, Department of Integrative Biomedical Sciences and Institute of Infectious Disease and Molecular Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town 7925, South Africa;
| | - Jeffrey R. Dorfman
- Division of Medical Virology, School of Pathology, Faculty of Health Sciences, Stellenbosch University, Cape Town 7505, South Africa;
| |
Collapse
|
3
|
Grant HE, Hodcroft EB, Ssemwanga D, Kitayimbwa JM, Yebra G, Esquivel Gomez LR, Frampton D, Gall A, Kellam P, de Oliveira T, Bbosa N, Nsubuga RN, Kibengo F, Kwan TH, Lycett S, Kao R, Robertson DL, Ratmann O, Fraser C, Pillay D, Kaleebu P, Leigh Brown AJ. Pervasive and non-random recombination in near full-length HIV genomes from Uganda. Virus Evol 2020; 6:veaa004. [PMID: 32395255 PMCID: PMC7204518 DOI: 10.1093/ve/veaa004] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
Recombination is an important feature of HIV evolution, occurring both within and between the major branches of diversity (subtypes). The Ugandan epidemic is primarily composed of two subtypes, A1 and D, that have been co-circulating for 50 years, frequently recombining in dually infected patients. Here, we investigate the frequency of recombinants in this population and the location of breakpoints along the genome. As part of the PANGEA-HIV consortium, 1,472 consensus genome sequences over 5 kb have been obtained from 1,857 samples collected by the MRC/UVRI & LSHTM Research unit in Uganda, 465 (31.6 per cent) of which were near full-length sequences (>8 kb). Using the subtyping tool SCUEAL, we find that of the near full-length dataset, 233 (50.1 per cent) genomes contained only one subtype, 30.8 per cent A1 (n = 143), 17.6 per cent D (n = 82), and 1.7 per cent C (n = 8), while 49.9 per cent (n = 232) contained more than one subtype (including A1/D (n = 164), A1/C (n = 13), C/D (n = 9); A1/C/D (n = 13), and 33 complex types). K-means clustering of the recombinant A1/D genomes revealed a section of envelope (C2gp120-TMgp41) is often inherited intact, whilst a generalized linear model was used to demonstrate significantly fewer breakpoints in the gag-pol and envelope C2-TM regions compared with accessory gene regions. Despite similar recombination patterns in many recombinants, no clearly supported circulating recombinant form (CRF) was found, there was limited evidence of the transmission of breakpoints, and the vast majority (153/164; 93 per cent) of the A1/D recombinants appear to be unique recombinant forms. Thus, recombination is pervasive with clear biases in breakpoint location, but CRFs are not a significant feature, characteristic of a complex, and diverse epidemic.
Collapse
Affiliation(s)
- Heather E Grant
- Institute of Evolutionary Biology, University of Edinburgh, Edinburgh, UK
| | - Emma B Hodcroft
- Biozentrum, University of Basel, Basel, Switzerland
- Swiss Institute of Bioinformatics, Basel, Switzerland
| | - Deogratius Ssemwanga
- Medical Research Council (MRC)/Uganda Virus Research Institute (UVRI) and London School of Hygiene and Tropical Medicine (LSHTM) Uganda Research Unit, Entebbe, Uganda
- Uganda Virus Research Institute, Entebbe, Uganda
| | | | - Gonzalo Yebra
- The Roslin Institute, University of Edinburgh, Edinburgh, UK
| | | | - Dan Frampton
- Division of Infection and Immunity, University College London, London, UK
| | - Astrid Gall
- European Molecular Biology Laboratory-European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, UK
| | - Paul Kellam
- European Molecular Biology Laboratory-European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, UK
| | - Tulio de Oliveira
- Nelson R. Mandela School of Medicine, Africa Health Research Institute, Durban, South Africa
| | - Nicholas Bbosa
- Medical Research Council (MRC)/Uganda Virus Research Institute (UVRI) and London School of Hygiene and Tropical Medicine (LSHTM) Uganda Research Unit, Entebbe, Uganda
| | - Rebecca N Nsubuga
- Medical Research Council (MRC)/Uganda Virus Research Institute (UVRI) and London School of Hygiene and Tropical Medicine (LSHTM) Uganda Research Unit, Entebbe, Uganda
| | - Freddie Kibengo
- Medical Research Council (MRC)/Uganda Virus Research Institute (UVRI) and London School of Hygiene and Tropical Medicine (LSHTM) Uganda Research Unit, Entebbe, Uganda
| | - Tsz Ho Kwan
- Stanley Ho Centre for Emerging Infectious Diseases, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Samantha Lycett
- The Roslin Institute, University of Edinburgh, Edinburgh, UK
| | - Rowland Kao
- The Roslin Institute, University of Edinburgh, Edinburgh, UK
| | | | - Oliver Ratmann
- Department of Mathematics, Imperial College London, London, UK
| | - Christophe Fraser
- Nuffield Department of Medicine, Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK
| | - Deenan Pillay
- European Molecular Biology Laboratory-European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, UK
- Nelson R. Mandela School of Medicine, Africa Health Research Institute, Durban, South Africa
| | - Pontiano Kaleebu
- Medical Research Council (MRC)/Uganda Virus Research Institute (UVRI) and London School of Hygiene and Tropical Medicine (LSHTM) Uganda Research Unit, Entebbe, Uganda
- Uganda Virus Research Institute, Entebbe, Uganda
| | | |
Collapse
|
4
|
Soli R, Kaabi B, Barhoumi M, Maktouf C, Ahmed SBH. Bayesian phylogenetic analysis of the influenza-A virus genomes isolated in Tunisia, and determination of potential recombination events. Mol Phylogenet Evol 2019; 134:253-268. [DOI: 10.1016/j.ympev.2019.01.019] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2018] [Revised: 12/27/2018] [Accepted: 01/22/2019] [Indexed: 11/24/2022]
|
5
|
Varsani A, Lefeuvre P, Roumagnac P, Martin D. Notes on recombination and reassortment in multipartite/segmented viruses. Curr Opin Virol 2018; 33:156-166. [PMID: 30237098 DOI: 10.1016/j.coviro.2018.08.013] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2018] [Revised: 08/07/2018] [Accepted: 08/28/2018] [Indexed: 11/29/2022]
Abstract
Besides evolving through nucleotide substitution, viruses frequently also evolve by genetic recombination which can occur when related viral variants co-infect the same cells. Viruses with segmented or multipartite genomes can additionally evolve via the reassortment of genomic components. Various computational techniques are now available for identifying and characterizing recombination and reassortment. While these techniques have revealed both that all well studied segmented and multipartite virus species show some capacity for reassortment, and that recombination is common in many multipartite species, they have indicated that recombination is either rare or does not occur in species with segmented genomes. Reassortment and recombination can make it very difficult to study segmented/multipartite viruses using metagenomics-based approaches. Notable challenges include, both the accurate identification and assignment of genomic components to individual genomes, and the differentiation between natural 'real' recombination events and artifactual 'fake' recombination events arising from the inaccurate de novo assembly of genome component sequences determined using short read sequencing.
Collapse
Affiliation(s)
- Arvind Varsani
- The Biodesign Center for Fundamental and Applied Microbiomics, Center for Evolution and Medicine and School of Life Sciences, Arizona State University, Tempe, AZ 85287-5001, USA; Structural Biology Research Unit, Department of Clinical Laboratory Sciences, University of Cape Town, Observatory, 7925, Cape Town, South Africa.
| | | | - Philippe Roumagnac
- CIRAD, BGPI, Montpellier, France; BGPI, INRA, CIRAD, SupAgro, Univ. Montpellier, Montpellier, France
| | - Darren Martin
- Computational Biology Division, Department of Integrative Biomedical Sciences, Institute of Infectious Diseases and Molecular Medicine. University of Cape Town, Observatory, 7925, South Africa
| |
Collapse
|
6
|
Tongo M, de Oliveira T, Martin DP. Patterns of genomic site inheritance in HIV-1M inter-subtype recombinants delineate the most likely genomic sites of subtype-specific adaptation. Virus Evol 2018; 4:vey015. [PMID: 29942655 PMCID: PMC6007327 DOI: 10.1093/ve/vey015] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Recombination between different HIV-1 group M (HIV-1M) subtypes is a major contributor to the ongoing genetic diversification of HIV-1M. However, it remains unclear whether the different genome regions of recombinants are randomly inherited from the different subtypes. To elucidate this, we analysed the distribution within 82 circulating and 201 unique recombinant forms (CRFs/URFs), of genome fragments derived from HIV-1M Subtypes A, B, C, D, F, and G and CRF01_AE. We found that viruses belonging to the analysed HIV-1M subtypes and CRF01_AE contributed certain genome fragments more frequently during recombination than other fragments. Furthermore, we identified statistically significant hot-spots of Subtype A sequence inheritance in genomic regions encoding portions of Gag and Nef, Subtype B in Pol, Tat and Env, Subtype C in Vif, Subtype D in Pol and Env, Subtype F in Gag, Subtype G in Vpu-Env and Nef, and CRF01_AE inheritance in Vpu and Env. The apparent non-randomness in the frequencies with which different subtypes have contributed specific genome regions to known HIV-1M recombinants is consistent with selection strongly impacting the survival of inter-subtype recombinants. We propose that hotspots of genomic region inheritance are likely to demarcate the locations of subtype-specific adaptive genetic variations.
Collapse
Affiliation(s)
- Marcel Tongo
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), School of Laboratory Medicine and Medical Sciences, College of Health Sciences, Nelson R Mandela School of Medicine, University of KwaZulu-Natal (UKZN), 719 Umbilo Road, Durban 4001, South Africa
- Center of Research for Emerging and Re-Emerging Diseases (CREMER), Institute of Medical Research and Study of Medicinal Plants (IMPM), Yaoundé, Cameroon
| | - Tulio de Oliveira
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), School of Laboratory Medicine and Medical Sciences, College of Health Sciences, Nelson R Mandela School of Medicine, University of KwaZulu-Natal (UKZN), 719 Umbilo Road, Durban 4001, South Africa
| | - Darren P Martin
- Division of Computational Biology, Department of Integrative Biomedical Sciences and Institute of Infectious Disease and Molecular Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town 7925, South Africa
| |
Collapse
|
7
|
Bagaya BS, Tian M, Nickel GC, Vega JF, Li Y, He P, Klein K, Mann JFS, Jiang W, Arts EJ, Gao Y. An in vitro Model to Mimic Selection of Replication-Competent HIV-1 Intersubtype Recombination in Dual or Superinfected Patients. J Mol Biol 2017; 429:2246-2264. [PMID: 28472629 PMCID: PMC6202033 DOI: 10.1016/j.jmb.2017.04.016] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2016] [Revised: 04/24/2017] [Accepted: 04/24/2017] [Indexed: 11/23/2022]
Abstract
The low frequency of HIV-1 recombinants within entire viral populations in both individual patients and culture-based infection models impedes investigation of the underlying factors contributing to either the occurrence of recombinants or the survival of recombinants once they are formed. So far, most of the related studies have no consideration of recombinants' functionality. Here, we established a functional recombinant production (FRP) system to produce pure and functional HIV-1 intersubtype Env recombinants and utilized 454 pyrosequencing to investigate the distribution of over 4000 functional and non-functional recombination breakpoints from either the FRP system or dual infection cultures. The results revealed that most of the breakpoints converged in gp41 (62%) and C1 (25.3%) domains of gp120, which has strong correlation with the similarity between the two recombining sequences. Yet, the breakpoints also appeared in C2 (5.2%) and C5 (4.6%) domains not correlated with the recombining sequence similarity. Interestingly, none of the intersubtype gp120 recombinants recombined between C1 and gp41 regions either from the FRP system or from the dual infection culture, and very few from the HIV epidemic were functional. The present study suggests that the selection of functional Env recombinants is one of the reasons for the predominance of C1 and gp41 Env recombinants in the HIV epidemic, and it provides an in vitro model to mimic the selection of replication-competent HIV-1 intersubtype recombination in dual or superinfected patients.
Collapse
Affiliation(s)
- Bernard S Bagaya
- Department of Molecular Biology and Microbiology, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH 44106, USA; Department of Medical Microbiology, School of Biomedical Sciences, College of Health Sciences, Makerere University, Kampala, N6A 3K7, Uganda
| | - Meijuan Tian
- Division of Infectious Diseases, Department of Medicine, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH 44106, USA; Department of Microbiology and Immunology, Western University, London, Ontario N6A 5C1, Canada
| | - Gabrielle C Nickel
- Division of Infectious Diseases, Department of Medicine, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH 44106, USA
| | - José F Vega
- Division of Infectious Diseases, Department of Medicine, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH 44106, USA
| | - Yuejin Li
- Division of Infectious Diseases, Department of Medicine, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH 44106, USA
| | - Ping He
- Division of Infectious Diseases, Department of Medicine, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH 44106, USA
| | - Katja Klein
- Department of Microbiology and Immunology, Western University, London, Ontario N6A 5C1, Canada
| | - Jamie F S Mann
- Department of Microbiology and Immunology, Western University, London, Ontario N6A 5C1, Canada
| | - Wei Jiang
- Department of Microbiology and Immunology, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Eric J Arts
- Department of Molecular Biology and Microbiology, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH 44106, USA; Division of Infectious Diseases, Department of Medicine, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH 44106, USA; Department of Microbiology and Immunology, Western University, London, Ontario N6A 5C1, Canada
| | - Yong Gao
- Department of Molecular Biology and Microbiology, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH 44106, USA; Division of Infectious Diseases, Department of Medicine, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH 44106, USA; Department of Microbiology and Immunology, Western University, London, Ontario N6A 5C1, Canada.
| |
Collapse
|
8
|
Rainwater-Lovett K, Ziemniak C, Watson D, Luzuriaga K, Siberry G, Petru A, Chen Y, Uprety P, McManus M, Ho YC, Lamers SL, Persaud D. Paucity of Intact Non-Induced Provirus with Early, Long-Term Antiretroviral Therapy of Perinatal HIV Infection. PLoS One 2017; 12:e0170548. [PMID: 28178277 PMCID: PMC5298215 DOI: 10.1371/journal.pone.0170548] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2016] [Accepted: 01/06/2017] [Indexed: 11/21/2022] Open
Abstract
The latent reservoir is a major barrier to HIV eradication. Reservoir size is emerging as an important biomarker to assess the likelihood of HIV remission in the absence of antiretroviral therapy (ART) and may be reduced by earlier initiation of ART that restricts HIV spread into CD4+ T cells. Reservoir size is traditionally measured with a quantitative viral outgrowth assay (QVOA) that induces replication-competent HIV production through in vitro stimulation of resting CD4+ T cells. However, the recent identification of replication-intact, non-induced proviral genomes (NIPG) suggests the QVOA significantly underestimates (by 62-fold) latent reservoir size in chronically-infected adults. Whether formation and persistence of Intact, NIPG is thwarted by early ART initiation and long-term virologic suppression in perinatal infection is unclear. Here, we show that the latent reservoir in 11 early treated, long-term suppressed perinatally infected children and adolescents was not inducible by QVOA and dominated by defective, NIPG. Single genome analysis of 164 NIPG from 232 million cultured resting CD4+ T cells revealed no replication-intact, near-full length sequences. Forty-three (26%) NIPG contained APOBEC3G-mediated hypermutation, 115 (70%) NIPG contained large internal deletions, one NIPG contained nonsense mutations and indels, and 5 (3%) NIPG were assigned as “Not Evaluable” due to multiple failed sequencing attempts that precluded further classification. The lack of replication competent inducible provirus and intact NIPG in this cohort indicate early, long-term ART of perinatal infection leads to marked diminution of replication-competent HIV-1 reservoirs, creating a favorable state towards interventions aimed at virologic remission.
Collapse
Affiliation(s)
- Kaitlin Rainwater-Lovett
- Department of Pediatrics-Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | - Carrie Ziemniak
- Department of Pediatrics-Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | - Douglas Watson
- Department of Pediatrics, University of Maryland, Baltimore, MD, United States of America
| | - Katherine Luzuriaga
- Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, MA, United States of America
| | - George Siberry
- Maternal and Pediatric Infectious Disease Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Rockville, MD, United States of America
| | - Ann Petru
- Department of Pediatric Infectious Diseases, Children's Hospital and Research Center Oakland, Oakland, CA, United States of America
| | - YaHui Chen
- Department of Pediatrics-Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | - Priyanka Uprety
- Department of Pediatrics-Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | - Margaret McManus
- Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, MA, United States of America
| | - Ya-Chi Ho
- Department of Medicine-Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | | | - Deborah Persaud
- Department of Pediatrics-Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
- * E-mail:
| |
Collapse
|
9
|
Martin DP, Murrell B, Golden M, Khoosal A, Muhire B. RDP4: Detection and analysis of recombination patterns in virus genomes. Virus Evol 2015; 1:vev003. [PMID: 27774277 PMCID: PMC5014473 DOI: 10.1093/ve/vev003] [Citation(s) in RCA: 2111] [Impact Index Per Article: 234.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
RDP4 is the latest version of recombination detection program (RDP), a Windows computer program that implements an extensive array of methods for detecting and visualising recombination in, and stripping evidence of recombination from, virus genome sequence alignments. RDP4 is capable of analysing twice as many sequences (up to 2,500) that are up to three times longer (up to 10 Mb) than those that could be analysed by older versions of the program. RDP4 is therefore also applicable to the analysis of bacterial full-genome sequence datasets. Other novelties in RDP4 include (1) the capacity to differentiate between recombination and genome segment reassortment, (2) the estimation of recombination breakpoint confidence intervals, (3) a variety of ‘recombination aware’ phylogenetic tree construction and comparison tools, (4) new matrix-based visualisation tools for examining both individual recombination events and the overall phylogenetic impacts of multiple recombination events and (5) new tests to detect the influences of gene arrangements, encoded protein structure, nucleic acid secondary structure, nucleotide composition, and nucleotide diversity on recombination breakpoint patterns. The key feature of RDP4 that differentiates it from other recombination detection tools is its flexibility. It can be run either in fully automated mode from the command line interface or with a graphically rich user interface that enables detailed exploration of both individual recombination events and overall recombination patterns.
Collapse
Affiliation(s)
- Darren P. Martin
- Department of Integrative Biomedical Sciences, Computational Biology Group, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Anzio Road Observatory 7549, Cape Town, South Africa
- *Corresponding author: E-mail:
| | - Ben Murrell
- Department of Medicine, University of California, San Diego, 9500 Gilman Dr., La Jolla, CA 92093, USA
| | - Michael Golden
- Department of Statistics, University of Oxford, 1 South Parks Road, OX1 3TG, Oxford, UK
| | - Arjun Khoosal
- Department of Integrative Biomedical Sciences, Computational Biology Group, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Anzio Road Observatory 7549, Cape Town, South Africa
| | - Brejnev Muhire
- Department of Integrative Biomedical Sciences, Computational Biology Group, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Anzio Road Observatory 7549, Cape Town, South Africa
| |
Collapse
|