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 in | Journal of virology Vol. 93; no. 1 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
American Society for Microbiology
01.01.2019
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Subjects | |
Online Access | Get full text |
ISSN | 0022-538X 1098-5514 1098-5514 |
DOI | 10.1128/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. |
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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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CitedBy_id | crossref_primary_10_1186_s12981_019_0239_x crossref_primary_10_3389_fmicb_2020_01603 crossref_primary_10_1128_JVI_01259_21 crossref_primary_10_1016_j_virusres_2020_197963 |
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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Copyright | Copyright © 2018 James et al. Copyright © 2018 James et al. 2018 James et al. |
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CorporateAuthor | Systemvirologi Faculty of Medicine Institutionen för translationell medicin Department of Translational Medicine Lunds universitet Medicinska fakulteten Lund University Systems Virology |
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Keywords | RNA sequencing HIV-2 next-generation sequencing whole genome vpx |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 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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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 |
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