Low-Bias RNA Sequencing of the HIV-2 Genome from Blood Plasma

An accurate picture of viral genetic diversity is critical for the development of a globally effective HIV vaccine. However, sequencing strategies are often complicated by target enrichment prior to sequencing, introducing biases that can distort variant frequencies, which are not easily corrected f...

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Published inJournal of virology Vol. 93; no. 1
Main Authors James, Katherine L., de Silva, Thushan I., Brown, Katherine, Whittle, Hilton, Taylor, Stephen, McVean, Gilean, Esbjörnsson, Joakim, Rowland-Jones, Sarah L.
Format Journal Article
LanguageEnglish
Published United States American Society for Microbiology 01.01.2019
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Online AccessGet full text
ISSN0022-538X
1098-5514
1098-5514
DOI10.1128/JVI.00677-18

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Abstract An accurate picture of viral genetic diversity is critical for the development of a globally effective HIV vaccine. However, sequencing strategies are often complicated by target enrichment prior to sequencing, introducing biases that can distort variant frequencies, which are not easily corrected for in downstream analyses. Additionally, detailed a priori sequence knowledge is needed to inform robust primer design when employing PCR amplification, a factor that is often lacking when working with tropical diseases localized in developing countries. Previous work has demonstrated that direct RNA shotgun sequencing (RNA-Seq) can be used to circumvent these issues for hepatitis C virus (HCV) and norovirus. We applied RNA-Seq to total RNA extracted from HIV-2 blood plasma samples, demonstrating the applicability of this technique to HIV-2 and allowing us to generate a dynamic picture of genetic diversity over the whole genome of HIV-2 in the context of low-bias sequencing. Accurate determination of the genetic diversity present in the HIV quasispecies is critical for the development of a preventative vaccine: in particular, little is known about viral genetic diversity for the second type of HIV, HIV-2. A better understanding of HIV-2 biology is relevant to the HIV vaccine field because a substantial proportion of infected people experience long-term viral control, and prior HIV-2 infection has been associated with slower HIV-1 disease progression in coinfected subjects. The majority of traditional and next-generation sequencing methods have relied on target amplification prior to sequencing, introducing biases that may obscure the true signals of diversity in the viral population. Additionally, target enrichment through PCR requires a priori sequence knowledge, which is lacking for HIV-2. Therefore, a target enrichment free method of library preparation would be valuable for the field. We applied an RNA shotgun sequencing (RNA-Seq) method without PCR amplification to cultured viral stocks and patient plasma samples from HIV-2-infected individuals. Libraries generated from total plasma RNA were analyzed with a two-step pipeline: (i) de novo genome assembly, followed by (ii) read remapping. By this approach, whole-genome sequences were generated with a 28× to 67× mean depth of coverage. Assembled reads showed a low level of GC bias, and comparison of the genome diversities at the intrahost level showed low diversity in the accessory gene vpx in all patients. Our study demonstrates that RNA-Seq is a feasible full-genome de novo sequencing method for blood plasma samples collected from HIV-2-infected individuals. IMPORTANCE An accurate picture of viral genetic diversity is critical for the development of a globally effective HIV vaccine. However, sequencing strategies are often complicated by target enrichment prior to sequencing, introducing biases that can distort variant frequencies, which are not easily corrected for in downstream analyses. Additionally, detailed a priori sequence knowledge is needed to inform robust primer design when employing PCR amplification, a factor that is often lacking when working with tropical diseases localized in developing countries. Previous work has demonstrated that direct RNA shotgun sequencing (RNA-Seq) can be used to circumvent these issues for hepatitis C virus (HCV) and norovirus. We applied RNA-Seq to total RNA extracted from HIV-2 blood plasma samples, demonstrating the applicability of this technique to HIV-2 and allowing us to generate a dynamic picture of genetic diversity over the whole genome of HIV-2 in the context of low-bias sequencing.
AbstractList Accurate determination of the genetic diversity present in the HIV quasispecies is critical for the development of a preventative vaccine: in particular, little is known about viral genetic diversity for the second type of HIV, HIV-2. A better understanding of HIV-2 biology is relevant to the HIV vaccine field because a substantial proportion of infected people experience long-term viral control, and prior HIV-2 infection has been associated with slower HIV-1 disease progression in coinfected subjects. The majority of traditional and next-generation sequencing methods have relied on target amplification prior to sequencing, introducing biases that may obscure the true signals of diversity in the viral population. Additionally, target enrichment through PCR requires a priori sequence knowledge, which is lacking for HIV-2. Therefore, a target enrichment free method of library preparation would be valuable for the field. We applied an RNA shotgun sequencing (RNA-Seq) method without PCR amplification to cultured viral stocks and patient plasma samples from HIV-2-infected individuals. Libraries generated from total plasma RNA were analyzed with a two-step pipeline: (i) de novo genome assembly, followed by (ii) read remapping. By this approach, whole-genome sequences were generated with a 28× to 67× mean depth of coverage. Assembled reads showed a low level of GC bias, and comparison of the genome diversities at the intrahost level showed low diversity in the accessory gene vpx in all patients. Our study demonstrates that RNA-Seq is a feasible full-genome de novo sequencing method for blood plasma samples collected from HIV-2-infected individuals.IMPORTANCE An accurate picture of viral genetic diversity is critical for the development of a globally effective HIV vaccine. However, sequencing strategies are often complicated by target enrichment prior to sequencing, introducing biases that can distort variant frequencies, which are not easily corrected for in downstream analyses. Additionally, detailed a priori sequence knowledge is needed to inform robust primer design when employing PCR amplification, a factor that is often lacking when working with tropical diseases localized in developing countries. Previous work has demonstrated that direct RNA shotgun sequencing (RNA-Seq) can be used to circumvent these issues for hepatitis C virus (HCV) and norovirus. We applied RNA-Seq to total RNA extracted from HIV-2 blood plasma samples, demonstrating the applicability of this technique to HIV-2 and allowing us to generate a dynamic picture of genetic diversity over the whole genome of HIV-2 in the context of low-bias sequencing.Accurate determination of the genetic diversity present in the HIV quasispecies is critical for the development of a preventative vaccine: in particular, little is known about viral genetic diversity for the second type of HIV, HIV-2. A better understanding of HIV-2 biology is relevant to the HIV vaccine field because a substantial proportion of infected people experience long-term viral control, and prior HIV-2 infection has been associated with slower HIV-1 disease progression in coinfected subjects. The majority of traditional and next-generation sequencing methods have relied on target amplification prior to sequencing, introducing biases that may obscure the true signals of diversity in the viral population. Additionally, target enrichment through PCR requires a priori sequence knowledge, which is lacking for HIV-2. Therefore, a target enrichment free method of library preparation would be valuable for the field. We applied an RNA shotgun sequencing (RNA-Seq) method without PCR amplification to cultured viral stocks and patient plasma samples from HIV-2-infected individuals. Libraries generated from total plasma RNA were analyzed with a two-step pipeline: (i) de novo genome assembly, followed by (ii) read remapping. By this approach, whole-genome sequences were generated with a 28× to 67× mean depth of coverage. Assembled reads showed a low level of GC bias, and comparison of the genome diversities at the intrahost level showed low diversity in the accessory gene vpx in all patients. Our study demonstrates that RNA-Seq is a feasible full-genome de novo sequencing method for blood plasma samples collected from HIV-2-infected individuals.IMPORTANCE An accurate picture of viral genetic diversity is critical for the development of a globally effective HIV vaccine. However, sequencing strategies are often complicated by target enrichment prior to sequencing, introducing biases that can distort variant frequencies, which are not easily corrected for in downstream analyses. Additionally, detailed a priori sequence knowledge is needed to inform robust primer design when employing PCR amplification, a factor that is often lacking when working with tropical diseases localized in developing countries. Previous work has demonstrated that direct RNA shotgun sequencing (RNA-Seq) can be used to circumvent these issues for hepatitis C virus (HCV) and norovirus. We applied RNA-Seq to total RNA extracted from HIV-2 blood plasma samples, demonstrating the applicability of this technique to HIV-2 and allowing us to generate a dynamic picture of genetic diversity over the whole genome of HIV-2 in the context of low-bias sequencing.
An accurate picture of viral genetic diversity is critical for the development of a globally effective HIV vaccine. However, sequencing strategies are often complicated by target enrichment prior to sequencing, introducing biases that can distort variant frequencies, which are not easily corrected for in downstream analyses. Additionally, detailed a priori sequence knowledge is needed to inform robust primer design when employing PCR amplification, a factor that is often lacking when working with tropical diseases localized in developing countries. Previous work has demonstrated that direct RNA shotgun sequencing (RNA-Seq) can be used to circumvent these issues for hepatitis C virus (HCV) and norovirus. We applied RNA-Seq to total RNA extracted from HIV-2 blood plasma samples, demonstrating the applicability of this technique to HIV-2 and allowing us to generate a dynamic picture of genetic diversity over the whole genome of HIV-2 in the context of low-bias sequencing. Accurate determination of the genetic diversity present in the HIV quasispecies is critical for the development of a preventative vaccine: in particular, little is known about viral genetic diversity for the second type of HIV, HIV-2. A better understanding of HIV-2 biology is relevant to the HIV vaccine field because a substantial proportion of infected people experience long-term viral control, and prior HIV-2 infection has been associated with slower HIV-1 disease progression in coinfected subjects. The majority of traditional and next-generation sequencing methods have relied on target amplification prior to sequencing, introducing biases that may obscure the true signals of diversity in the viral population. Additionally, target enrichment through PCR requires a priori sequence knowledge, which is lacking for HIV-2. Therefore, a target enrichment free method of library preparation would be valuable for the field. We applied an RNA shotgun sequencing (RNA-Seq) method without PCR amplification to cultured viral stocks and patient plasma samples from HIV-2-infected individuals. Libraries generated from total plasma RNA were analyzed with a two-step pipeline: (i) de novo genome assembly, followed by (ii) read remapping. By this approach, whole-genome sequences were generated with a 28× to 67× mean depth of coverage. Assembled reads showed a low level of GC bias, and comparison of the genome diversities at the intrahost level showed low diversity in the accessory gene vpx in all patients. Our study demonstrates that RNA-Seq is a feasible full-genome de novo sequencing method for blood plasma samples collected from HIV-2-infected individuals. IMPORTANCE An accurate picture of viral genetic diversity is critical for the development of a globally effective HIV vaccine. However, sequencing strategies are often complicated by target enrichment prior to sequencing, introducing biases that can distort variant frequencies, which are not easily corrected for in downstream analyses. Additionally, detailed a priori sequence knowledge is needed to inform robust primer design when employing PCR amplification, a factor that is often lacking when working with tropical diseases localized in developing countries. Previous work has demonstrated that direct RNA shotgun sequencing (RNA-Seq) can be used to circumvent these issues for hepatitis C virus (HCV) and norovirus. We applied RNA-Seq to total RNA extracted from HIV-2 blood plasma samples, demonstrating the applicability of this technique to HIV-2 and allowing us to generate a dynamic picture of genetic diversity over the whole genome of HIV-2 in the context of low-bias sequencing.
Accurate determination of the genetic diversity present in the HIV quasispecies is critical for the development of a preventative vaccine: in particular, little is known about viral genetic diversity for the second type of HIV, HIV-2. A better understanding of HIV-2 biology is relevant to the HIV vaccine field because a substantial proportion of infected people experience long-term viral control, and prior HIV-2 infection has been associated with slower HIV-1 disease progression in coinfected subjects. The majority of traditional and next-generation sequencing methods have relied on target amplification prior to sequencing, introducing biases that may obscure the true signals of diversity in the viral population. Additionally, target enrichment through PCR requires sequence knowledge, which is lacking for HIV-2. Therefore, a target enrichment free method of library preparation would be valuable for the field. We applied an RNA shotgun sequencing (RNA-Seq) method without PCR amplification to cultured viral stocks and patient plasma samples from HIV-2-infected individuals. Libraries generated from total plasma RNA were analyzed with a two-step pipeline: (i) genome assembly, followed by (ii) read remapping. By this approach, whole-genome sequences were generated with a 28× to 67× mean depth of coverage. Assembled reads showed a low level of GC bias, and comparison of the genome diversities at the intrahost level showed low diversity in the accessory gene in all patients. Our study demonstrates that RNA-Seq is a feasible full-genome sequencing method for blood plasma samples collected from HIV-2-infected individuals. An accurate picture of viral genetic diversity is critical for the development of a globally effective HIV vaccine. However, sequencing strategies are often complicated by target enrichment prior to sequencing, introducing biases that can distort variant frequencies, which are not easily corrected for in downstream analyses. Additionally, detailed sequence knowledge is needed to inform robust primer design when employing PCR amplification, a factor that is often lacking when working with tropical diseases localized in developing countries. Previous work has demonstrated that direct RNA shotgun sequencing (RNA-Seq) can be used to circumvent these issues for hepatitis C virus (HCV) and norovirus. We applied RNA-Seq to total RNA extracted from HIV-2 blood plasma samples, demonstrating the applicability of this technique to HIV-2 and allowing us to generate a dynamic picture of genetic diversity over the whole genome of HIV-2 in the context of low-bias sequencing.
Accurate determination of the genetic diversity present in the HIV quasispecies is critical for the development of a preventative vaccine: in particular, little is known about viral genetic diversity for the second type of HIV, HIV-2. A better understanding of HIV-2 biology is relevant to the HIV vaccine field because a substantial proportion of infected people experience long-term viral control, and prior HIV-2 infection has been associated with slower HIV-1 disease progression in coinfected subjects. The majority of traditional and next-generation sequencing methods have relied on target amplification prior to sequencing, introducing biases that may obscure the true signals of diversity in the viral population. Additionally, target enrichment through PCR requires a priori sequence knowledge, which is lacking for HIV-2. Therefore, a target enrichment free method of library preparation would be valuable for the field. We applied an RNA shotgun sequencing (RNA-Seq) method without PCR amplification to cultured viral stocks and patient plasma samples from HIV-2-infected individuals. Libraries generated from total plasma RNA were analyzed with a two-step pipeline: (i) de novo genome assembly, followed by (ii) read remapping. By this approach, whole-genome sequences were generated with a 28× to 67× mean depth of coverage. Assembled reads showed a low level of GC bias, and comparison of the genome diversities at the intrahost level showed low diversity in the accessory gene vpx in all patients. Our study demonstrates that RNA-Seq is a feasible full-genome de novo sequencing method for blood plasma samples collected from HIV-2-infected individuals.IMPORTANCE An accurate picture of viral genetic diversity is critical for the development of a globally effective HIV vaccine. However, sequencing strategies are often complicated by target enrichment prior to sequencing, introducing biases that can distort variant frequencies, which are not easily corrected for in downstream analyses. Additionally, detailed a priori sequence knowledge is needed to inform robust primer design when employing PCR amplification, a factor that is often lacking when working with tropical diseases localized in developing countries. Previous work has demonstrated that direct RNA shotgun sequencing (RNA-Seq) can be used to circumvent these issues for hepatitis C virus (HCV) and norovirus. We applied RNA-Seq to total RNA extracted from HIV-2 blood plasma samples, demonstrating the applicability of this technique to HIV-2 and allowing us to generate a dynamic picture of genetic diversity over the whole genome of HIV-2 in the context of low-bias sequencing.
An accurate picture of viral genetic diversity is critical for the development of a globally effective HIV vaccine. However, sequencing strategies are often complicated by target enrichment prior to sequencing, introducing biases that can distort variant frequencies, which are not easily corrected for in downstream analyses. Additionally, detailed a priori sequence knowledge is needed to inform robust primer design when employing PCR amplification, a factor that is often lacking when working with tropical diseases localized in developing countries. Previous work has demonstrated that direct RNA shotgun sequencing (RNA-Seq) can be used to circumvent these issues for hepatitis C virus (HCV) and norovirus. We applied RNA-Seq to total RNA extracted from HIV-2 blood plasma samples, demonstrating the applicability of this technique to HIV-2 and allowing us to generate a dynamic picture of genetic diversity over the whole genome of HIV-2 in the context of low-bias sequencing. Accurate determination of the genetic diversity present in the HIV quasispecies is critical for the development of a preventative vaccine: in particular, little is known about viral genetic diversity for the second type of HIV, HIV-2. A better understanding of HIV-2 biology is relevant to the HIV vaccine field because a substantial proportion of infected people experience long-term viral control, and prior HIV-2 infection has been associated with slower HIV-1 disease progression in coinfected subjects. The majority of traditional and next-generation sequencing methods have relied on target amplification prior to sequencing, introducing biases that may obscure the true signals of diversity in the viral population. Additionally, target enrichment through PCR requires a priori sequence knowledge, which is lacking for HIV-2. Therefore, a target enrichment free method of library preparation would be valuable for the field. We applied an RNA shotgun sequencing (RNA-Seq) method without PCR amplification to cultured viral stocks and patient plasma samples from HIV-2-infected individuals. Libraries generated from total plasma RNA were analyzed with a two-step pipeline: (i) de novo genome assembly, followed by (ii) read remapping. By this approach, whole-genome sequences were generated with a 28× to 67× mean depth of coverage. Assembled reads showed a low level of GC bias, and comparison of the genome diversities at the intrahost level showed low diversity in the accessory gene vpx in all patients. Our study demonstrates that RNA-Seq is a feasible full-genome de novo sequencing method for blood plasma samples collected from HIV-2-infected individuals. IMPORTANCE An accurate picture of viral genetic diversity is critical for the development of a globally effective HIV vaccine. However, sequencing strategies are often complicated by target enrichment prior to sequencing, introducing biases that can distort variant frequencies, which are not easily corrected for in downstream analyses. Additionally, detailed a priori sequence knowledge is needed to inform robust primer design when employing PCR amplification, a factor that is often lacking when working with tropical diseases localized in developing countries. Previous work has demonstrated that direct RNA shotgun sequencing (RNA-Seq) can be used to circumvent these issues for hepatitis C virus (HCV) and norovirus. We applied RNA-Seq to total RNA extracted from HIV-2 blood plasma samples, demonstrating the applicability of this technique to HIV-2 and allowing us to generate a dynamic picture of genetic diversity over the whole genome of HIV-2 in the context of low-bias sequencing.
Author James, Katherine L.
Taylor, Stephen
Rowland-Jones, Sarah L.
de Silva, Thushan I.
Whittle, Hilton
McVean, Gilean
Brown, Katherine
Esbjörnsson, Joakim
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Cites_doi 10.1038/nature07352
10.1093/nar/gkh340
10.1128/JVI.01225-12
10.1038/nmeth.1923
10.1111/j.1365-2796.2011.02455.x
10.1016/j.meegid.2009.05.003
10.1128/JCM.01516-12
10.1128/JCM.05715-11
10.1128/JVI.73.3.2343-2349.1999
10.1038/nature07746
10.1073/pnas.1110064108
10.1186/1471-2148-7-214
10.1371/journal.pone.0043093
10.1086/315010
10.1086/339295
10.1186/1472-6750-14-10
10.1186/1742-4690-7-46
10.1371/journal.pone.0044411
10.1093/bioinformatics/btp352
10.1093/bioinformatics/btp373
10.1128/JCM.02479-15
10.1126/science.2832945
10.1093/infdis/jiu333
10.1093/bioinformatics/bti310
10.1186/1742-4690-10-107
10.1186/1742-4690-5-78
10.1186/1742-4690-10-27
10.1371/journal.pone.0066129
10.1186/1471-2164-13-475
10.1001/archinte.160.21.3286
10.1097/QAD.0000000000000373
10.1128/JVI.06126-11
10.1093/bioinformatics/btp698
10.1089/aid.2016.0229
10.1093/bib/bbs017
10.1385/1-59259-907-9:399
10.1056/NEJMoa1113244
10.1371/journal.pone.0085583
10.1073/pnas.76.10.5269
10.1038/nmeth.2109
10.1016/j.tim.2008.09.003
10.1126/science.1256739
10.1093/infdis/jir698
10.1086/511308
10.1186/1471-2105-13-47
10.1093/bioinformatics/bts199
10.1101/gr.107524.110
10.1089/08892220260387904
10.1186/1742-4690-7-23
10.1038/nmeth.1226
10.1093/nar/gkp1195
10.1186/2042-5783-4-1
10.1371/journal.pone.0062856
10.1186/PREACCEPT-1251182501124451
10.3389/fmicb.2012.00297
10.1016/j.meegid.2013.05.004
10.1099/vir.0.81259-0
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Keywords RNA sequencing
HIV-2
next-generation sequencing
whole genome
vpx
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This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license.
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Citation James KL, de Silva TI, Brown K, Whittle H, Taylor S, McVean G, Esbjörnsson J, Rowland-Jones SL. 2019. Low-bias RNA sequencing of the HIV-2 genome from blood plasma. J Virol 93:e00677-18. https://doi.org/10.1128/JVI.00677-18.
G.M., J.E., and S.L.R.-J. contributed equally to this article.
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PublicationTitle Journal of virology
PublicationTitleAlternate J Virol
PublicationYear 2019
Publisher American Society for Microbiology
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References e_1_3_3_50_2
e_1_3_3_16_2
e_1_3_3_18_2
e_1_3_3_39_2
e_1_3_3_12_2
e_1_3_3_58_2
e_1_3_3_14_2
e_1_3_3_35_2
e_1_3_3_56_2
e_1_3_3_33_2
e_1_3_3_54_2
e_1_3_3_10_2
e_1_3_3_31_2
e_1_3_3_52_2
e_1_3_3_40_2
e_1_3_3_61_2
e_1_3_3_5_2
e_1_3_3_7_2
Hansmann A (e_1_3_3_6_2) 2005; 38
e_1_3_3_9_2
e_1_3_3_27_2
e_1_3_3_29_2
e_1_3_3_23_2
e_1_3_3_48_2
e_1_3_3_25_2
e_1_3_3_46_2
e_1_3_3_67_2
e_1_3_3_44_2
e_1_3_3_65_2
e_1_3_3_3_2
e_1_3_3_21_2
e_1_3_3_42_2
e_1_3_3_63_2
e_1_3_3_51_2
e_1_3_3_17_2
e_1_3_3_19_2
e_1_3_3_38_2
e_1_3_3_13_2
e_1_3_3_36_2
e_1_3_3_59_2
e_1_3_3_15_2
e_1_3_3_34_2
e_1_3_3_57_2
e_1_3_3_32_2
e_1_3_3_55_2
e_1_3_3_11_2
e_1_3_3_30_2
e_1_3_3_53_2
e_1_3_3_62_2
e_1_3_3_60_2
e_1_3_3_8_2
e_1_3_3_28_2
e_1_3_3_49_2
e_1_3_3_24_2
e_1_3_3_47_2
e_1_3_3_26_2
e_1_3_3_45_2
e_1_3_3_2_2
e_1_3_3_20_2
e_1_3_3_43_2
e_1_3_3_66_2
e_1_3_3_4_2
e_1_3_3_22_2
Knipe DM (e_1_3_3_37_2) 2007
e_1_3_3_41_2
e_1_3_3_64_2
References_xml – volume: 38
  start-page: 335
  year: 2005
  ident: e_1_3_3_6_2
  article-title: Baseline plasma viral load and CD4 cell percentage predict survival in HIV-1- and HIV-2-infected women in a community-based cohort in The Gambia
  publication-title: J Acquir Immune Defic Syndr
– ident: e_1_3_3_19_2
  doi: 10.1038/nature07352
– ident: e_1_3_3_61_2
  doi: 10.1093/nar/gkh340
– ident: e_1_3_3_42_2
  doi: 10.1128/JVI.01225-12
– ident: e_1_3_3_49_2
  doi: 10.1038/nmeth.1923
– ident: e_1_3_3_54_2
– ident: e_1_3_3_11_2
  doi: 10.1111/j.1365-2796.2011.02455.x
– ident: e_1_3_3_13_2
  doi: 10.1016/j.meegid.2009.05.003
– ident: e_1_3_3_24_2
  doi: 10.1128/JCM.01516-12
– ident: e_1_3_3_30_2
  doi: 10.1128/JCM.05715-11
– ident: e_1_3_3_15_2
  doi: 10.1128/JVI.73.3.2343-2349.1999
– ident: e_1_3_3_18_2
  doi: 10.1038/nature07746
– ident: e_1_3_3_27_2
  doi: 10.1073/pnas.1110064108
– volume-title: Fields virology
  year: 2007
  ident: e_1_3_3_37_2
– ident: e_1_3_3_62_2
  doi: 10.1186/1471-2148-7-214
– ident: e_1_3_3_25_2
  doi: 10.1371/journal.pone.0043093
– ident: e_1_3_3_7_2
  doi: 10.1086/315010
– ident: e_1_3_3_9_2
  doi: 10.1086/339295
– ident: e_1_3_3_22_2
  doi: 10.1186/1472-6750-14-10
– ident: e_1_3_3_5_2
  doi: 10.1186/1742-4690-7-46
– ident: e_1_3_3_67_2
  doi: 10.1371/journal.pone.0044411
– ident: e_1_3_3_53_2
  doi: 10.1093/bioinformatics/btp352
– ident: e_1_3_3_64_2
  doi: 10.1093/bioinformatics/btp373
– ident: e_1_3_3_23_2
  doi: 10.1128/JCM.02479-15
– ident: e_1_3_3_10_2
  doi: 10.1126/science.2832945
– ident: e_1_3_3_43_2
  doi: 10.1093/infdis/jiu333
– ident: e_1_3_3_51_2
  doi: 10.1093/bioinformatics/bti310
– ident: e_1_3_3_32_2
  doi: 10.1186/1742-4690-10-107
– ident: e_1_3_3_40_2
  doi: 10.1186/1742-4690-5-78
– ident: e_1_3_3_38_2
– ident: e_1_3_3_46_2
– ident: e_1_3_3_45_2
  doi: 10.1186/1742-4690-10-27
– ident: e_1_3_3_31_2
  doi: 10.1371/journal.pone.0066129
– ident: e_1_3_3_47_2
  doi: 10.1186/1471-2164-13-475
– ident: e_1_3_3_8_2
  doi: 10.1001/archinte.160.21.3286
– ident: e_1_3_3_14_2
  doi: 10.1097/QAD.0000000000000373
– ident: e_1_3_3_41_2
  doi: 10.1128/JVI.06126-11
– ident: e_1_3_3_57_2
– ident: e_1_3_3_50_2
  doi: 10.1093/bioinformatics/btp698
– ident: e_1_3_3_36_2
  doi: 10.1089/aid.2016.0229
– ident: e_1_3_3_55_2
  doi: 10.1093/bib/bbs017
– ident: e_1_3_3_21_2
  doi: 10.1385/1-59259-907-9:399
– ident: e_1_3_3_39_2
  doi: 10.1056/NEJMoa1113244
– ident: e_1_3_3_34_2
  doi: 10.1371/journal.pone.0085583
– ident: e_1_3_3_65_2
  doi: 10.1073/pnas.76.10.5269
– ident: e_1_3_3_58_2
  doi: 10.1038/nmeth.2109
– ident: e_1_3_3_2_2
  doi: 10.1016/j.tim.2008.09.003
– ident: e_1_3_3_3_2
  doi: 10.1126/science.1256739
– ident: e_1_3_3_60_2
  doi: 10.1093/infdis/jir698
– ident: e_1_3_3_16_2
  doi: 10.1086/511308
– ident: e_1_3_3_20_2
  doi: 10.1186/1471-2105-13-47
– ident: e_1_3_3_48_2
  doi: 10.1093/bioinformatics/bts199
– ident: e_1_3_3_56_2
  doi: 10.1101/gr.107524.110
– ident: e_1_3_3_4_2
  doi: 10.1089/08892220260387904
– ident: e_1_3_3_52_2
– ident: e_1_3_3_59_2
  doi: 10.1186/1742-4690-7-23
– ident: e_1_3_3_29_2
  doi: 10.1038/nmeth.1226
– ident: e_1_3_3_33_2
  doi: 10.1093/nar/gkp1195
– ident: e_1_3_3_63_2
– ident: e_1_3_3_28_2
  doi: 10.1186/2042-5783-4-1
– ident: e_1_3_3_66_2
– ident: e_1_3_3_35_2
  doi: 10.1371/journal.pone.0062856
– ident: e_1_3_3_26_2
  doi: 10.1186/PREACCEPT-1251182501124451
– ident: e_1_3_3_44_2
  doi: 10.3389/fmicb.2012.00297
– ident: e_1_3_3_12_2
  doi: 10.1016/j.meegid.2013.05.004
– ident: e_1_3_3_17_2
  doi: 10.1099/vir.0.81259-0
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Snippet An accurate picture of viral genetic diversity is critical for the development of a globally effective HIV vaccine. However, sequencing strategies are often...
Accurate determination of the genetic diversity present in the HIV quasispecies is critical for the development of a preventative vaccine: in particular,...
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SubjectTerms Africa, Western
Basic Medicine
Bias
Clinical Medicine
Female
Genetic Diversity and Evolution
Genome, Viral
HIV Infections - blood
HIV Infections - virology
HIV-2 - classification
HIV-2 - genetics
Humans
Infectious Medicine
Infektionsmedicin
Klinisk medicin
Male
Medical and Health Sciences
Medicin och hälsovetenskap
Medicinska och farmaceutiska grundvetenskaper
Microbiology in the Medical Area
Mikrobiologi inom det medicinska området
Phylogeny
Quasispecies
RNA, Viral - blood
Sequence Analysis, RNA - methods
Sequence Analysis, RNA - standards
Title Low-Bias RNA Sequencing of the HIV-2 Genome from Blood Plasma
URI https://www.ncbi.nlm.nih.gov/pubmed/30333167
https://www.proquest.com/docview/2122597012
https://pubmed.ncbi.nlm.nih.gov/PMC6288329
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