HIV-1 Full-Genome Phylogenetics of Generalized Epidemics in Sub-Saharan Africa: Impact of Missing Nucleotide Characters in Next-Generation Sequences

被引:0
作者
Ratmann, Oliver [1 ]
Wymant, Chris [2 ]
Colijn, Caroline [3 ]
Danaviah, Siva [4 ]
Essex, Max [5 ,6 ]
Frost, Simon [7 ]
Gall, Astrid [7 ]
Gaseitsiwe, Simani [6 ]
Grabowski, Mary K. [8 ,9 ]
Gray, Ronald [8 ,9 ]
Guindon, Stephane [10 ,11 ,12 ]
von Haeseler, Arndt [13 ,14 ]
Kaleebu, Pontiano [15 ]
Kendall, Michelle [3 ]
Kozlov, Alexey [16 ]
Manasa, Justen [5 ]
Minh, Bui Quang [13 ]
Moyo, Sikhulile [6 ]
Novitsky, Vlad [5 ,6 ]
Nsubuga, Rebecca [15 ]
Pillay, Sureshnee [4 ]
Quinn, Thomas C. [17 ,18 ]
Serwadda, David [9 ,19 ]
Ssemwanga, Deogratius [15 ]
Stamatakis, Alexandros [16 ,20 ]
Trifinopoulos, Jana [13 ]
Wawer, Maria [8 ,9 ]
Brown, Andy Leigh [21 ]
de Oliveira, Tulio [22 ]
Kellam, Paul [23 ]
Pillay, Deenan [4 ,24 ]
Fraser, Christophe [2 ]
机构
[1] Imperial Coll London, Sch Publ Hlth, Dept Infect Dis Epidemiol, MRC Ctr Outbreak Anal & Modelling, London W21PG, England
[2] Univ Oxford, Nuffield Dept Med, Li Ka Shing Ctr Hlth Informat & Discovery, Oxford Big Data Inst, Oxford, England
[3] Imperial Coll London, Dept Math, London, England
[4] Africa Hlth Res Inst, Kwa Zulu, South Africa
[5] Harvard TH Chan Sch Publ Hlth, Dept Immunol & Infect Dis, Boston, MA USA
[6] Botswana Harvard AIDS Inst Partnership, Gaborone, Botswana
[7] Univ Cambridge, Dept Vet Med, Cambridge, England
[8] Johns Hopkins Bloomberg Sch Publ Hlth, Dept Epidemiol, Baltimore, MD USA
[9] Rakai Hlth Sci Program, Entebbe, Uganda
[10] Univ Auckland, Dept Stat, Auckland, New Zealand
[11] CNRS, UMR 5506, Lab Informat Robot & Microelect Montpellier, Montpellier, France
[12] UM, Montpellier, France
[13] Univ Vienna, Med Univ Vienna, Max F Perutz Labs, Ctr Integrat Bioinformat Vienna, Vienna, Austria
[14] Univ Vienna, Fac Comp Sci, Bioinformat & Computat Biol, Vienna, Austria
[15] MRC UVRI Uganda Res Unit AIDS, Entebbe, Uganda
[16] Heidelberg Inst Theoret Studies, Heidelberg, Germany
[17] NIAID, Div Intramural Res, NIH, 9000 Rockville Pike, Bethesda, MD 20892 USA
[18] Johns Hopkins Bloomberg Sch Publ Hlth, Dept Med, Baltimore, MD USA
[19] Makerere Univ, Coll Hlth Sci, Sch Publ Hlth, Kampala, Uganda
[20] Karlsruhe Inst Technol, Inst Theoret Informat, Karlsruhe, Germany
[21] Univ Edinburgh, Inst Evolutionary Biol, Sch Biol Sci, Edinburgh, Midlothian, Scotland
[22] Univ KwaZulu Natal, Coll Hlth Sci, Sch Lab Med & Med Sci, Nelson R Mandela Sch Med, Durban, South Africa
[23] Imperial Coll London, Dept Infect Dis & Immun, London, England
[24] UCL, Fac Med Sci, Div Infect & Immun, London, England
基金
奥地利科学基金会; 英国工程与自然科学研究理事会; 英国医学研究理事会; 欧洲研究理事会;
关键词
human immunodeficiency virus; phylogenomics; phylodynamics; HIV-1 molecular epidemiology; sub-Saharan Africa; PANGEA; FISHING COMMUNITIES; LAKE VICTORIA; PHYLOGENOMICS; TRANSMISSION; UGANDA; RISK; TREE; RECONSTRUCTION; ALGORITHMS; PATTERNS;
D O I
10.1089/aid.2017.0061
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
To characterize HIV-1 transmission dynamics in regions where the burden of HIV-1 is greatest, the Phylogenetics and Networks for Generalised HIV Epidemics in Africa consortium (PANGEA-HIV) is sequencing full-genome viral isolates from across sub-Saharan Africa. We report the first 3,985 PANGEA-HIV consensus sequences from four cohort sites (Rakai Community Cohort Study, n=2,833; MRC/UVRI Uganda, n=701; Mochudi Prevention Project, n=359; Africa Health Research Institute Resistance Cohort, n=92). Next-generation sequencing success rates varied: more than 80% of the viral genome from the gag to the nef genes could be determined for all sequences from South Africa, 75% of sequences from Mochudi, 60% of sequences from MRC/UVRI Uganda, and 22% of sequences from Rakai. Partial sequencing failure was primarily associated with low viral load, increased for amplicons closer to the 3 end of the genome, was not associated with subtype diversity except HIV-1 subtype D, and remained significantly associated with sampling location after controlling for other factors. We assessed the impact of the missing data patterns in PANGEA-HIV sequences on phylogeny reconstruction in simulations. We found a threshold in terms of taxon sampling below which the patchy distribution of missing characters in next-generation sequences (NGS) has an excess negative impact on the accuracy of HIV-1 phylogeny reconstruction, which is attributable to tree reconstruction artifacts that accumulate when branches in viral trees are long. The large number of PANGEA-HIV sequences provides unprecedented opportunities for evaluating HIV-1 transmission dynamics across sub-Saharan Africa and identifying prevention opportunities. Molecular epidemiological analyses of these data must proceed cautiously because sequence sampling remains below the identified threshold and a considerable negative impact of missing characters on phylogeny reconstruction is expected.
引用
收藏
页码:1083 / 1098
页数:16
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