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Zhang R, Li H, Xie H, Wang P, Yu C, Li J, Yang Z, Zeshan B, Cao A, Wang X. Transcriptional kinetics of NADC34-like porcine reproductive and respiratory syndrome virus during cellular infection. Arch Virol 2024; 169:186. [PMID: 39180681 DOI: 10.1007/s00705-024-06113-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2024] [Accepted: 07/05/2024] [Indexed: 08/26/2024]
Abstract
NADC34-like porcine reproductive and respiratory syndrome virus (PRRSV) employs complex strategies to synthesize subgenomic RNAs (sgRNAs); however, their plasticity and temporal dynamics remain largely unexplored. Using next-generation sequencing (NGS), we examined the high-resolution landscape of the PRRSV subgenome, highlighting considerable heterogeneity in temporal kinetics and transcriptional control and revealing extensive coordination between TRSL-dependent and TRSL-independent sgRNAs. In addition, a comprehensive re-annotation of transcription regulatory sequence (TRS) locations was conducted, clarifying that their usage involved canonical, alternative, and non-canonical splicing events for annotated genes. These insights emphasize that the coding of genetic material in PRRSV is far more intricate than previously anticipated. Collectively, the altered sgRNA phenotype offers distinctive insights into PRRSV transcription and gives additional impetus for mining the functional short- and long-range RNA-RNA interactome at active viral replication sites.
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Affiliation(s)
- Riteng Zhang
- College of Veterinary Medicine, Northwest A&F University, Yangling, 712100, Shaanxi, People's Republic of China
| | - Hui Li
- College of Veterinary Medicine, Northwest A&F University, Yangling, 712100, Shaanxi, People's Republic of China
| | - Honglin Xie
- College of Veterinary Medicine, Northwest A&F University, Yangling, 712100, Shaanxi, People's Republic of China
| | - Peixin Wang
- College of Veterinary Medicine, Northwest A&F University, Yangling, 712100, Shaanxi, People's Republic of China
| | - Chenfei Yu
- College of Veterinary Medicine, Northwest A&F University, Yangling, 712100, Shaanxi, People's Republic of China
| | - Junda Li
- College of Veterinary Medicine, Northwest A&F University, Yangling, 712100, Shaanxi, People's Republic of China
| | - Zengqi Yang
- College of Veterinary Medicine, Northwest A&F University, Yangling, 712100, Shaanxi, People's Republic of China
| | - Basit Zeshan
- Department of Microbiology, Faculty of Life Sciences, University of Central Punjab, Johar Town, Lahore, 54000, Pakistan
- Shenzhen Institute of Quality and Safety Inspection and Research, Shenzhen, 518000, Guangdong, People's Republic of China
| | - Aiqiao Cao
- Department of Microbiology, Faculty of Life Sciences, University of Central Punjab, Johar Town, Lahore, 54000, Pakistan.
| | - Xinglong Wang
- College of Veterinary Medicine, Northwest A&F University, Yangling, 712100, Shaanxi, People's Republic of China.
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2
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González Aparicio LJ, López CB. Selection of nonstandard viral genomes during the evolution of RNA viruses: A virus survival strategy or a pesky inconvenience? Adv Virus Res 2024; 119:39-61. [PMID: 38897708 DOI: 10.1016/bs.aivir.2024.05.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/21/2024]
Abstract
RNA viruses are some of the most successful biological entities due their ability to adapt and evolve. Despite their small genome and parasitic nature, RNA viruses have evolved many mechanisms to ensure their survival and maintenance in the host population. We propose that one of these mechanisms of survival is the generation of nonstandard viral genomes (nsVGs) that accumulate during viral replication. NsVGs are often considered to be accidental defective byproducts of the RNA virus replication, but their ubiquity and the plethora of roles they have during infection indicate that they are an integral part of the virus life cycle. Here we review the different types of nsVGs and discuss how their multiple roles during infection could be beneficial for RNA viruses to be maintained in nature. By shifting our perspectives on what makes a virus successful, we posit that nsVG generation is a conserved phenomenon that arose during RNA virus evolution as an essential component of a healthy virus community.
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Affiliation(s)
- Lavinia J González Aparicio
- Department of Molecular Microbiology and Center for Women Infectious Disease Research, Washington University School of Medicine in St. Louis, St. Louis, MO, United States
| | - Carolina B López
- Department of Molecular Microbiology and Center for Women Infectious Disease Research, Washington University School of Medicine in St. Louis, St. Louis, MO, United States.
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3
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Brennan JW, Sun Y. Defective viral genomes: advances in understanding their generation, function, and impact on infection outcomes. mBio 2024; 15:e0069224. [PMID: 38567955 PMCID: PMC11077978 DOI: 10.1128/mbio.00692-24] [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] [Indexed: 05/09/2024] Open
Abstract
Defective viral genomes (DVGs) are truncated derivatives of their parental viral genomes generated during an aberrant round of viral genomic replication. Distinct classes of DVGs have been identified in most families of both positive- and negative-sense RNA viruses. Importantly, DVGs have been detected in clinical samples from virally infected individuals and an emerging body of association studies implicates DVGs in shaping the severity of disease caused by viral infections in humans. Consequently, there is growing interest in understanding the molecular mechanisms of de novo DVG generation, how DVGs interact with the innate immune system, and harnessing DVGs as novel therapeutics and vaccine adjuvants to attenuate viral pathogenesis. This minireview focuses on single-stranded RNA viruses (excluding retroviridae), and summarizes the current knowledge of DVG generation, the functions and diversity of DVG species, the roles DVGs play in influencing disease progression, and their application as antivirals and vaccine adjuvants.
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Affiliation(s)
- Justin W. Brennan
- Department of Microbiology and Immunology, University of Rochester Medical Center, Rochester, New York, USA
| | - Yan Sun
- Department of Microbiology and Immunology, University of Rochester Medical Center, Rochester, New York, USA
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4
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Hillung J, Olmo-Uceda MJ, Muñoz-Sánchez JC, Elena SF. Accumulation Dynamics of Defective Genomes during Experimental Evolution of Two Betacoronaviruses. Viruses 2024; 16:644. [PMID: 38675984 PMCID: PMC11053736 DOI: 10.3390/v16040644] [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: 03/21/2024] [Revised: 04/18/2024] [Accepted: 04/19/2024] [Indexed: 04/28/2024] Open
Abstract
Virus-encoded replicases often generate aberrant RNA genomes, known as defective viral genomes (DVGs). When co-infected with a helper virus providing necessary proteins, DVGs can multiply and spread. While DVGs depend on the helper virus for propagation, they can in some cases disrupt infectious virus replication, impact immune responses, and affect viral persistence or evolution. Understanding the dynamics of DVGs alongside standard viral genomes during infection remains unclear. To address this, we conducted a long-term experimental evolution of two betacoronaviruses, the human coronavirus OC43 (HCoV-OC43) and the murine hepatitis virus (MHV), in cell culture at both high and low multiplicities of infection (MOI). We then performed RNA-seq at regular time intervals, reconstructed DVGs, and analyzed their accumulation dynamics. Our findings indicate that DVGs evolved to exhibit greater diversity and abundance, with deletions and insertions being the most common types. Notably, some high MOI deletions showed very limited temporary existence, while others became prevalent over time. We observed differences in DVG abundance between high and low MOI conditions in HCoV-OC43 samples. The size distribution of HCoV-OC43 genomes with deletions differed between high and low MOI passages. In low MOI lineages, short and long DVGs were the most common, with an additional cluster in high MOI lineages which became more prevalent along evolutionary time. MHV also showed variations in DVG size distribution at different MOI conditions, though they were less pronounced compared to HCoV-OC43, suggesting a more random distribution of DVG sizes. We identified hotspot regions for deletions that evolved at a high MOI, primarily within cistrons encoding structural and accessory proteins. In conclusion, our study illustrates the widespread formation of DVGs during betacoronavirus evolution, influenced by MOI and cell- and virus-specific factors.
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Affiliation(s)
- Julia Hillung
- Instituto de Biología Integrativa de Sistemas (I2SysBio), CSIC-UV, Catedrático Agustín Escardino Benlloch 9, 46980 Paterna, Valencia, Spain; (J.H.); (M.J.O.-U.); (J.C.M.-S.)
| | - María J. Olmo-Uceda
- Instituto de Biología Integrativa de Sistemas (I2SysBio), CSIC-UV, Catedrático Agustín Escardino Benlloch 9, 46980 Paterna, Valencia, Spain; (J.H.); (M.J.O.-U.); (J.C.M.-S.)
| | - Juan C. Muñoz-Sánchez
- Instituto de Biología Integrativa de Sistemas (I2SysBio), CSIC-UV, Catedrático Agustín Escardino Benlloch 9, 46980 Paterna, Valencia, Spain; (J.H.); (M.J.O.-U.); (J.C.M.-S.)
| | - Santiago F. Elena
- Instituto de Biología Integrativa de Sistemas (I2SysBio), CSIC-UV, Catedrático Agustín Escardino Benlloch 9, 46980 Paterna, Valencia, Spain; (J.H.); (M.J.O.-U.); (J.C.M.-S.)
- Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, NM 87501, USA
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5
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Ranum JN, Ledwith MP, Alnaji FG, Diefenbacher M, Orton R, Sloan E, Güereca M, Feltman E, Smollett K, da Silva Filipe A, Conley M, Russell A, Brooke C, Hutchinson E, Mehle A. Cryptic proteins translated from deletion-containing viral genomes dramatically expand the influenza virus proteome. Nucleic Acids Res 2024; 52:3199-3212. [PMID: 38407436 PMCID: PMC11014358 DOI: 10.1093/nar/gkae133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Revised: 02/06/2024] [Accepted: 02/15/2024] [Indexed: 02/27/2024] Open
Abstract
Productive infections by RNA viruses require faithful replication of the entire genome. Yet many RNA viruses also produce deletion-containing viral genomes (DelVGs), aberrant replication products with large internal deletions. DelVGs interfere with the replication of wild-type virus and their presence in patients is associated with better clinical outcomes. The DelVG RNA itself is hypothesized to confer this interfering activity. DelVGs antagonize replication by out-competing the full-length genome and triggering innate immune responses. Here, we identify an additionally inhibitory mechanism mediated by a new class of viral proteins encoded by DelVGs. We identified hundreds of cryptic viral proteins translated from DelVGs. These DelVG-encoded proteins (DPRs) include canonical viral proteins with large internal deletions, as well as proteins with novel C-termini translated from alternative reading frames. Many DPRs retain functional domains shared with their full-length counterparts, suggesting they may have activity during infection. Mechanistic studies of DPRs derived from the influenza virus protein PB2 showed that they poison replication of wild-type virus by acting as dominant-negative inhibitors of the viral polymerase. These findings reveal that DelVGs have a dual inhibitory mechanism, acting at both the RNA and protein level. They further show that DPRs have the potential to dramatically expand the functional proteomes of diverse RNA viruses.
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Affiliation(s)
- Jordan N Ranum
- Medical Microbiology and Immunology, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Mitchell P Ledwith
- Medical Microbiology and Immunology, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Fadi G Alnaji
- Department of Microbiology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Meghan Diefenbacher
- Department of Microbiology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Richard Orton
- MRC-University of Glasgow Centre for Virus Research, Glasgow G61 1QH, UK
| | - Elizabeth Sloan
- MRC-University of Glasgow Centre for Virus Research, Glasgow G61 1QH, UK
| | - Melissa Güereca
- Division of Biological Sciences, University of California, San Diego, La Jolla, CA 92093, USA
| | - Elizabeth M Feltman
- Medical Microbiology and Immunology, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Katherine Smollett
- MRC-University of Glasgow Centre for Virus Research, Glasgow G61 1QH, UK
| | | | - Michaela Conley
- MRC-University of Glasgow Centre for Virus Research, Glasgow G61 1QH, UK
| | - Alistair B Russell
- Division of Biological Sciences, University of California, San Diego, La Jolla, CA 92093, USA
| | - Christopher B Brooke
- Department of Microbiology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Edward Hutchinson
- MRC-University of Glasgow Centre for Virus Research, Glasgow G61 1QH, UK
| | - Andrew Mehle
- Medical Microbiology and Immunology, University of Wisconsin-Madison, Madison, WI 53706, USA
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Xu Z, Peng Q, Song J, Zhang H, Wei D, Demongeot J, Zeng Q. Bioinformatic analysis of defective viral genomes in SARS-CoV-2 and its impact on population infection characteristics. Front Immunol 2024; 15:1341906. [PMID: 38348041 PMCID: PMC10859446 DOI: 10.3389/fimmu.2024.1341906] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Accepted: 01/12/2024] [Indexed: 02/15/2024] Open
Abstract
DVGs (Defective Viral Genomes) are prevalent in RNA virus infections. In this investigation, we conducted an analysis of high-throughput sequencing data and observed widespread presence of DVGs in SARS-CoV-2. Comparative analysis between SARS-CoV-2 and diverse DNA viruses revealed heightened susceptibility to damage and increased sequencing sample heterogeneity within the SARS-CoV-2 genome. Whole-genome sequencing depth variability analysis exhibited a higher coefficient of variation for SARS-CoV-2, while DVG analysis indicated a significant proportion of recombination sites, signifying notable genome heterogeneity and suggesting that a large proportion of assembled virus particles contain incomplete RNA sequences. Moreover, our investigation explored the sequencing depth and DVG content differences among various strains. Our findings revealed that as the virus evolves, there is a notable increase in the proportion of intact genomes within virus particles, as evidenced by third-generation sequencing data. Specifically, the proportion of intact genome in the Omicron strain surpassed that of the Delta and Alpha strains. This observation effectively elucidates the heightened infectiousness of the Omicron strain compared to the Delta and Alpha strains. We also postulate that this improvement in completeness stems from enhanced virus assembly capacity, as the Omicron strain can promptly facilitate the binding of RNA and capsid protein, thereby reducing the exposure time of vulnerable virus RNA in the host environment and significantly mitigating its degradation. Finally, employing mathematical modeling, we simulated the impact of DVG effects under varying environmental factors on infection characteristics and population evolution. Our findings provide an explanation for the close association between symptom severity and the extent of virus invasion, as well as the substantial disparity in population infection characteristics caused by the same strain under distinct environmental conditions. This study presents a novel approach for future virus research and vaccine development.
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Affiliation(s)
- Zhaobin Xu
- Department of Life Science, Dezhou University, Dezhou, China
| | - Qingzhi Peng
- Department of Life Science, Dezhou University, Dezhou, China
| | - Jian Song
- Department of Life Science, Dezhou University, Dezhou, China
| | - Hongmei Zhang
- Department of Life Science, Dezhou University, Dezhou, China
| | - Dongqing Wei
- State Key Laboratory of Microbial Metabolism, Shanghai-Islamabad-Belgrade Joint Innovation Center on Antibacterial Resistances, Shanghai Jiao Tong University, Shanghai, China
- Joint International Research Laboratory of Metabolic & Developmental Sciences and School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
- Zhongjing Research and Industrialization Institute of Chinese Medicine, Zhongguancun Scientific Park, Meixi, Nanyang, Henan, China
- Peng Cheng National Laboratory, Shenzhen, Guangdong, China
| | - Jacques Demongeot
- Laboratory AGEIS EA 7407, Team Tools for e-Gnosis Medical, Faculty of Medicine, University Grenoble Alpes (UGA), F-38700 La Tronche, France
| | - Qiangcheng Zeng
- Department of Life Science, Dezhou University, Dezhou, China
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7
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Lin CH, Hsieh FC, Lai CC, Wang WC, Kuo CY, Yang CC, Hsu HW, Tam HMH, Yang CY, Wu HY. Identification of the protein coding capability of coronavirus defective viral genomes by mass spectrometry. Virol J 2023; 20:290. [PMID: 38062493 PMCID: PMC10704767 DOI: 10.1186/s12985-023-02252-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Accepted: 11/25/2023] [Indexed: 12/18/2023] Open
Abstract
During coronavirus infection, in addition to the well-known coronavirus genomes and subgenomic mRNAs, an abundance of defective viral genomes (DVGs) can also be synthesized. In this study, we aimed to examine whether DVGs can encode proteins in infected cells. Nanopore direct RNA sequencing and liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis were employed. With the protein databases generated by nanopore direct RNA sequencing and the cell lysates derived from the RNA-protein pull-down assay, six DVG-encoded proteins were identified by LC-MS/MS based on the featured fusion peptides caused by recombination during DVG synthesis. The results suggest that the coronavirus DVGs have the capability to encode proteins. Consequently, future studies determining the biological function of DVG-encoded proteins may contribute to the understanding of their roles in coronavirus pathogenesis and the development of antiviral strategies.
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Grants
- 109-2313-B-005 -013 -MY3, 110-2327-B-005 -003 and 111-2327-B-005 -003 National Science and Technology Council
- 109-2313-B-005 -013 -MY3, 110-2327-B-005 -003 and 111-2327-B-005 -003 National Science and Technology Council
- 109-2313-B-005 -013 -MY3, 110-2327-B-005 -003 and 111-2327-B-005 -003 National Science and Technology Council
- 109-2313-B-005 -013 -MY3, 110-2327-B-005 -003 and 111-2327-B-005 -003 National Science and Technology Council
- 109-2313-B-005 -013 -MY3, 110-2327-B-005 -003 and 111-2327-B-005 -003 National Science and Technology Council
- 109-2313-B-005 -013 -MY3, 110-2327-B-005 -003 and 111-2327-B-005 -003 National Science and Technology Council
- 109-2313-B-005 -013 -MY3, 110-2327-B-005 -003 and 111-2327-B-005 -003 National Science and Technology Council
- 109-2313-B-005 -013 -MY3, 110-2327-B-005 -003 and 111-2327-B-005 -003 National Science and Technology Council
- 109-2313-B-005 -013 -MY3, 110-2327-B-005 -003 and 111-2327-B-005 -003 National Science and Technology Council
- 109-2313-B-005 -013 -MY3, 110-2327-B-005 -003 and 111-2327-B-005 -003 National Science and Technology Council
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Affiliation(s)
- Ching-Hung Lin
- Graduate Institute of Veterinary Pathobiology, College of Veterinary Medicine, National Chung Hsing University, Taichung, 40227, Taiwan
| | - Feng-Cheng Hsieh
- Graduate Institute of Veterinary Pathobiology, College of Veterinary Medicine, National Chung Hsing University, Taichung, 40227, Taiwan
| | - Chien-Chen Lai
- Institute of Molecular Biology, College of Life Sciences, National Chung Hsing University, Taichung, 40227, Taiwan
| | - Wei-Chen Wang
- Institute of Molecular Biology, College of Life Sciences, National Chung Hsing University, Taichung, 40227, Taiwan
| | - Cheng-Yu Kuo
- Institute of Molecular Biology, College of Life Sciences, National Chung Hsing University, Taichung, 40227, Taiwan
| | - Chun-Chun Yang
- Graduate Institute of Veterinary Pathobiology, College of Veterinary Medicine, National Chung Hsing University, Taichung, 40227, Taiwan
| | - Hsuan-Wei Hsu
- Graduate Institute of Veterinary Pathobiology, College of Veterinary Medicine, National Chung Hsing University, Taichung, 40227, Taiwan
| | - Hon-Man-Herman Tam
- Department of Veterinary Medicine, College of Veterinary Medicine, National Chung Hsing University, Taichung, 40227, Taiwan
| | - Cheng-Yao Yang
- Graduate Institute of Veterinary Pathobiology, College of Veterinary Medicine, National Chung Hsing University, Taichung, 40227, Taiwan.
| | - Hung-Yi Wu
- Graduate Institute of Veterinary Pathobiology, College of Veterinary Medicine, National Chung Hsing University, Taichung, 40227, Taiwan.
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Elena SF. The role of indels in evolution and pathogenicity of RNA viruses. Proc Natl Acad Sci U S A 2023; 120:e2310785120. [PMID: 37531375 PMCID: PMC10433266 DOI: 10.1073/pnas.2310785120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/04/2023] Open
Affiliation(s)
- Santiago F. Elena
- Instituto de Biología Integrativa de Sistemas (Consejo Superior de Investigaciones Científicas-Universitat de València), Paterna, Valencia46980, Spain
- The Santa Fe Institute, Santa Fe, NM87501
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