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Baek A, Lee GE, Golconda S, Rayhan A, Manganaris AA, Chen S, Tirumuru N, Yu H, Kim S, Kimmel C, Zablocki O, Sullivan MB, Addepalli B, Wu L, Kim S. Single-molecule epitranscriptomic analysis of full-length HIV-1 RNAs reveals functional roles of site-specific m 6As. Nat Microbiol 2024; 9:1340-1355. [PMID: 38605174 PMCID: PMC11087264 DOI: 10.1038/s41564-024-01638-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 02/15/2024] [Indexed: 04/13/2024]
Abstract
Although the significance of chemical modifications on RNA is acknowledged, the evolutionary benefits and specific roles in human immunodeficiency virus (HIV-1) replication remain elusive. Most studies have provided only population-averaged values of modifications for fragmented RNAs at low resolution and have relied on indirect analyses of phenotypic effects by perturbing host effectors. Here we analysed chemical modifications on HIV-1 RNAs at the full-length, single RNA level and nucleotide resolution using direct RNA sequencing methods. Our data reveal an unexpectedly simple HIV-1 modification landscape, highlighting three predominant N6-methyladenosine (m6A) modifications near the 3' end. More densely installed in spliced viral messenger RNAs than in genomic RNAs, these m6As play a crucial role in maintaining normal levels of HIV-1 RNA splicing and translation. HIV-1 generates diverse RNA subspecies with distinct m6A ensembles, and maintaining multiple of these m6As on its RNAs provides additional stability and resilience to HIV-1 replication, suggesting an unexplored viral RNA-level evolutionary strategy.
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Affiliation(s)
- Alice Baek
- Center for Retrovirus Research, Ohio State University, Columbus, OH, USA
- Department of Veterinary Biosciences, Ohio State University, Columbus, OH, USA
- Infectious Diseases Institute, Ohio State University, Columbus, OH, USA
| | - Ga-Eun Lee
- Center for Retrovirus Research, Ohio State University, Columbus, OH, USA
- Department of Veterinary Biosciences, Ohio State University, Columbus, OH, USA
- Infectious Diseases Institute, Ohio State University, Columbus, OH, USA
- Translational Data Analytics Institute, Ohio State University, Columbus, OH, USA
| | - Sarah Golconda
- Center for Retrovirus Research, Ohio State University, Columbus, OH, USA
- Department of Veterinary Biosciences, Ohio State University, Columbus, OH, USA
- Infectious Diseases Institute, Ohio State University, Columbus, OH, USA
| | - Asif Rayhan
- Rieveschl Laboratories for Mass Spectrometry, Department of Chemistry, University of Cincinnati, Cincinnati, OH, USA
| | - Anastasios A Manganaris
- Translational Data Analytics Institute, Ohio State University, Columbus, OH, USA
- Department of Computer Science and Engineering, Ohio State University, Columbus, OH, USA
| | - Shuliang Chen
- Center for Retrovirus Research, Ohio State University, Columbus, OH, USA
- Department of Veterinary Biosciences, Ohio State University, Columbus, OH, USA
| | - Nagaraja Tirumuru
- Center for Retrovirus Research, Ohio State University, Columbus, OH, USA
- Department of Veterinary Biosciences, Ohio State University, Columbus, OH, USA
| | - Hannah Yu
- Center for Retrovirus Research, Ohio State University, Columbus, OH, USA
- Department of Veterinary Biosciences, Ohio State University, Columbus, OH, USA
- Infectious Diseases Institute, Ohio State University, Columbus, OH, USA
| | - Shihyoung Kim
- Center for Retrovirus Research, Ohio State University, Columbus, OH, USA
- Department of Veterinary Biosciences, Ohio State University, Columbus, OH, USA
- Infectious Diseases Institute, Ohio State University, Columbus, OH, USA
| | - Christopher Kimmel
- Department of Veterinary Biosciences, Ohio State University, Columbus, OH, USA
- Translational Data Analytics Institute, Ohio State University, Columbus, OH, USA
| | - Olivier Zablocki
- Center of Microbiome Science, Ohio State University, Columbus, OH, USA
- Department of Microbiology, Ohio State University, Columbus, OH, USA
| | - Matthew B Sullivan
- Center of Microbiome Science, Ohio State University, Columbus, OH, USA
- Department of Microbiology, Ohio State University, Columbus, OH, USA
- Department of Civil, Environmental and Geodetic Engineering, Ohio State University, Columbus, OH, USA
| | - Balasubrahmanyam Addepalli
- Rieveschl Laboratories for Mass Spectrometry, Department of Chemistry, University of Cincinnati, Cincinnati, OH, USA
| | - Li Wu
- Department of Microbiology and Immunology, Carver College of Medicine, University of Iowa, Iowa City, IA, USA
| | - Sanggu Kim
- Center for Retrovirus Research, Ohio State University, Columbus, OH, USA.
- Department of Veterinary Biosciences, Ohio State University, Columbus, OH, USA.
- Infectious Diseases Institute, Ohio State University, Columbus, OH, USA.
- Translational Data Analytics Institute, Ohio State University, Columbus, OH, USA.
- Center for RNA Biology, Ohio State University, Columbus, OH, USA.
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Li Y, Liu X, Fujinaga K, Gross JD, Frankel AD. Enhanced NF-κB activation via HIV-1 Tat-TRAF6 cross-talk. SCIENCE ADVANCES 2024; 10:eadi4162. [PMID: 38241362 PMCID: PMC10798561 DOI: 10.1126/sciadv.adi4162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Accepted: 12/21/2023] [Indexed: 01/21/2024]
Abstract
The Tat proteins of HIV-1 and simian immunodeficiency virus (SIV) are essential for activating viral transcription. In addition, Tat stimulates nuclear factor κB (NF-κB) signaling pathways to regulate viral gene expression although its molecular mechanism is unclear. Here, we report that Tat directly activates NF-κB through the interaction with TRAF6, which is an essential upstream signaling molecule of the canonical NF-κB pathway. This interaction increases TRAF6 oligomerization and auto-ubiquitination, as well as the synthesis of K63-linked polyubiquitin chains to further activate the NF-κB pathway and HIV-1 transcription. Moreover, ectopic expression of TRAF6 significantly activates HIV-1 transcription, whereas TRAF6 knockdown inhibits transcription. Furthermore, Tat-mediated activation of NF-κB through TRAF6 is conserved among HIV-1, HIV-2, and SIV isolates. Our study uncovers yet another mechanism by which HIV-1 subverts host transcriptional pathways to enhance its own transcription.
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Affiliation(s)
- Yang Li
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158, USA
| | - Xi Liu
- Department of Pharmaceutical Chemistry, University of California, San Francisco, CA 94158, USA
| | - Koh Fujinaga
- Department of Medicine, University of California, San Francisco, CA 94143, USA
| | - John D. Gross
- Department of Pharmaceutical Chemistry, University of California, San Francisco, CA 94158, USA
| | - Alan D. Frankel
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158, USA
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Jackson PEH, Holsey J, Turse L, Hammarskjold ML, Rekosh D. Rev-Rev Response Element Activity Selection Bias at the Human Immunodeficiency Virus Transmission Bottleneck. Open Forum Infect Dis 2023; 10:ofad486. [PMID: 37854107 PMCID: PMC10580148 DOI: 10.1093/ofid/ofad486] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Accepted: 09/27/2023] [Indexed: 10/20/2023] Open
Abstract
Background Sexual transmission of human immunodeficiency virus (HIV) is inefficient and results in selection of viral variants based on incompletely understood factors. Functional variation in the Rev-Rev response element (RRE) regulatory axis of HIV affect replication kinetics and relative expression of viral proteins. We explored whether differences in this axis among viral isolates affect transmission fitness. Methods HIV sequences were identified from nine female-to-male transmission pairs. Using a rapid flow cytometric assay, we analyzed Rev-RRE functional activity of primary isolates. Results Rev-RRE activity was significantly lower in recipient viruses compared with corresponding donor viruses. In most transmission events, recipient virus Rev-RRE activity clustered at the extreme low end of the range of donor virus activity. Conclusions These data indicate selection pressure on the Rev-RRE axis during female-to-male sexual transmission. Variation in Rev-RRE activity may permit viral adaptation to different fitness landscapes and could play an important role in HIV pathogenesis.
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Affiliation(s)
- Patrick E H Jackson
- Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, Virginia, USA
- Myles H. Thaler Center for AIDS and Human Retrovirus Research, University of Virginia, Charlottesville, Virginia, USA
| | - Jordan Holsey
- Myles H. Thaler Center for AIDS and Human Retrovirus Research, University of Virginia, Charlottesville, Virginia, USA
| | - Lauren Turse
- Myles H. Thaler Center for AIDS and Human Retrovirus Research, University of Virginia, Charlottesville, Virginia, USA
| | - Marie-Louise Hammarskjold
- Myles H. Thaler Center for AIDS and Human Retrovirus Research, University of Virginia, Charlottesville, Virginia, USA
- Department of Microbiology, Immunology, and Cancer Biology, University of Virginia, Charlottesville, Virginia, USA
| | - David Rekosh
- Myles H. Thaler Center for AIDS and Human Retrovirus Research, University of Virginia, Charlottesville, Virginia, USA
- Department of Microbiology, Immunology, and Cancer Biology, University of Virginia, Charlottesville, Virginia, USA
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Chlebek JL, Leonard SP, Kang-Yun C, Yung MC, Ricci DP, Jiao Y, Park DM. Prolonging genetic circuit stability through adaptive evolution of overlapping genes. Nucleic Acids Res 2023; 51:7094-7108. [PMID: 37260076 PMCID: PMC10359631 DOI: 10.1093/nar/gkad484] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 05/12/2023] [Accepted: 05/23/2023] [Indexed: 06/02/2023] Open
Abstract
The development of synthetic biological circuits that maintain functionality over application-relevant time scales remains a significant challenge. Here, we employed synthetic overlapping sequences in which one gene is encoded or 'entangled' entirely within an alternative reading frame of another gene. In this design, the toxin-encoding relE was entangled within ilvA, which encodes threonine deaminase, an enzyme essential for isoleucine biosynthesis. A functional entanglement construct was obtained upon modification of the ribosome-binding site of the internal relE gene. Using this optimized design, we found that the selection pressure to maintain functional IlvA stabilized the production of burdensome RelE for >130 generations, which compares favorably with the most stable kill-switch circuits developed to date. This stabilizing effect was achieved through a complete alteration of the allowable landscape of mutations such that mutations inactivating the entangled genes were disfavored. Instead, the majority of lineages accumulated mutations within the regulatory region of ilvA. By reducing baseline relE expression, these more 'benign' mutations lowered circuit burden, which suppressed the accumulation of relE-inactivating mutations, thereby prolonging kill-switch function. Overall, this work demonstrates the utility of sequence entanglement paired with an adaptive laboratory evolution campaign to increase the evolutionary stability of burdensome synthetic circuits.
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Affiliation(s)
- Jennifer L Chlebek
- Biosciences and Biotechnology Division, Lawrence Livermore National Laboratory, Livermore, CA 94550, USA
| | - Sean P Leonard
- Biosciences and Biotechnology Division, Lawrence Livermore National Laboratory, Livermore, CA 94550, USA
| | - Christina Kang-Yun
- Biosciences and Biotechnology Division, Lawrence Livermore National Laboratory, Livermore, CA 94550, USA
| | - Mimi C Yung
- Biosciences and Biotechnology Division, Lawrence Livermore National Laboratory, Livermore, CA 94550, USA
| | - Dante P Ricci
- Biosciences and Biotechnology Division, Lawrence Livermore National Laboratory, Livermore, CA 94550, USA
| | - Yongqin Jiao
- Biosciences and Biotechnology Division, Lawrence Livermore National Laboratory, Livermore, CA 94550, USA
| | - Dan M Park
- Biosciences and Biotechnology Division, Lawrence Livermore National Laboratory, Livermore, CA 94550, USA
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Jackson PEH, Holsey J, Turse L, Marie-Louise H, Rekosh D. Rev-Rev Response Element Activity Selection Bias at the HIV Transmission Bottleneck. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.04.05.535732. [PMID: 37066242 PMCID: PMC10104022 DOI: 10.1101/2023.04.05.535732] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 04/27/2023]
Abstract
HIV is not efficiently transmitted between hosts, and selection of viral variants occurs during the process of sexual transmission. The factors that confer selective advantage at the transmission bottleneck remain incompletely understood. We explored whether differences in the Rev-Rev Response Element (RRE) regulatory axis of HIV affect transmission fitness, since functional variation in the Rev-RRE axis in different viral isolates has been shown to affect replication kinetics and relative expression of many HIV proteins. Single genome HIV sequences were identified from nine linked subject pairs near the time of female-to-male transmission. Using a rapid flow-cytometric assay, we found that the functional Rev-RRE activity varied significantly between isolates. Moreover, it was generally lower in recipients' viruses compared to the corresponding donor viruses. In six of nine transmission events, recipient virus Rev-RRE activity clustered at the extreme low end of the range of donor virus activity. Rev-RRE pair activity was an unpredictable product of component Rev and RRE activity variation. These data indicate selection pressure on the Rev-RRE axis during female-to-male sexual transmission. Variation in the activity of the Rev-RRE axis may permit viral adaptation to different fitness landscapes and could play an important role in HIV pathogenesis.
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Affiliation(s)
- Patrick E. H. Jackson
- Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, Virginia, USA
- Myles H. Thaler Center for AIDS and Human Retrovirus Research, University of Virginia, Charlottesville, Virginia, USA
| | - Jordan Holsey
- Myles H. Thaler Center for AIDS and Human Retrovirus Research, University of Virginia, Charlottesville, Virginia, USA
| | - Lauren Turse
- Myles H. Thaler Center for AIDS and Human Retrovirus Research, University of Virginia, Charlottesville, Virginia, USA
| | - Hammarskjold Marie-Louise
- Myles H. Thaler Center for AIDS and Human Retrovirus Research, University of Virginia, Charlottesville, Virginia, USA
- Department of Microbiology, Immunology, and Cancer Biology, University of Virginia, Charlottesville, Virginia, USA
| | - David Rekosh
- Myles H. Thaler Center for AIDS and Human Retrovirus Research, University of Virginia, Charlottesville, Virginia, USA
- Department of Microbiology, Immunology, and Cancer Biology, University of Virginia, Charlottesville, Virginia, USA
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