1
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Ji CM, Feng XY, Huang YW, Chen RA. The Applications of Nanopore Sequencing Technology in Animal and Human Virus Research. Viruses 2024; 16:798. [PMID: 38793679 PMCID: PMC11125791 DOI: 10.3390/v16050798] [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: 03/20/2024] [Revised: 05/07/2024] [Accepted: 05/13/2024] [Indexed: 05/26/2024] Open
Abstract
In recent years, an increasing number of viruses have triggered outbreaks that pose a severe threat to both human and animal life, as well as caused substantial economic losses. It is crucial to understand the genomic structure and epidemiology of these viruses to guide effective clinical prevention and treatment strategies. Nanopore sequencing, a third-generation sequencing technology, has been widely used in genomic research since 2014. This technology offers several advantages over traditional methods and next-generation sequencing (NGS), such as the ability to generate ultra-long reads, high efficiency, real-time monitoring and analysis, portability, and the ability to directly sequence RNA or DNA molecules. As a result, it exhibits excellent applicability and flexibility in virus research, including viral detection and surveillance, genome assembly, the discovery of new variants and novel viruses, and the identification of chemical modifications. In this paper, we provide a comprehensive review of the development, principles, advantages, and applications of nanopore sequencing technology in animal and human virus research, aiming to offer fresh perspectives for future studies in this field.
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Affiliation(s)
- Chun-Miao Ji
- Zhaoqing Branch Center of Guangdong Laboratory for Lingnan Modern Agricultural Science and Technology, Zhaoqing 526238, China; (C.-M.J.); (X.-Y.F.)
| | - Xiao-Yin Feng
- Zhaoqing Branch Center of Guangdong Laboratory for Lingnan Modern Agricultural Science and Technology, Zhaoqing 526238, China; (C.-M.J.); (X.-Y.F.)
| | - Yao-Wei Huang
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China;
- Department of Veterinary Medicine, Zhejiang University, Hangzhou 310058, China
| | - Rui-Ai Chen
- Zhaoqing Branch Center of Guangdong Laboratory for Lingnan Modern Agricultural Science and Technology, Zhaoqing 526238, China; (C.-M.J.); (X.-Y.F.)
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China;
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2
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Wang J, Yang L, Cheng A, Tham CY, Tan W, Darmawan J, de Sessions PF, Wan Y. Direct RNA sequencing coupled with adaptive sampling enriches RNAs of interest in the transcriptome. Nat Commun 2024; 15:481. [PMID: 38212309 PMCID: PMC10784512 DOI: 10.1038/s41467-023-44656-3] [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: 02/09/2023] [Accepted: 12/22/2023] [Indexed: 01/13/2024] Open
Abstract
Abundant cellular transcripts occupy most of the sequencing reads in the transcriptome, making it challenging to assay for low-abundant transcripts. Here, we utilize the adaptive sampling function of Oxford Nanopore sequencing to selectively deplete and enrich RNAs of interest without biochemical manipulation before sequencing. Adaptive sampling performed on a pool of in vitro transcribed RNAs resulted in a net increase of 22-30% in the proportion of transcripts of interest in the population. Enriching and depleting different proportions of the Candida albicans transcriptome also resulted in a 11-13.5% increase in the number of reads on target transcripts, with longer and more abundant transcripts being more efficiently depleted. Depleting all currently annotated Candida albicans transcripts did not result in an absolute enrichment of remaining transcripts, although we identified 26 previously unknown transcripts and isoforms, 17 of which are antisense to existing transcripts. Further improvements in the adaptive sampling of RNAs will allow the technology to be widely applied to study RNAs of interest in diverse transcriptomes.
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Affiliation(s)
- Jiaxu Wang
- Stem Cell and Regenerative Biology, Genome Institute of Singapore, A*STAR, Singapore, 138672, Singapore
| | - Lin Yang
- Oxford Nanopore Technologies, Singapore, 138667, Singapore
| | - Anthony Cheng
- Stem Cell and Regenerative Biology, Genome Institute of Singapore, A*STAR, Singapore, 138672, Singapore
| | | | - Wenting Tan
- Stem Cell and Regenerative Biology, Genome Institute of Singapore, A*STAR, Singapore, 138672, Singapore
| | - Jefferson Darmawan
- Stem Cell and Regenerative Biology, Genome Institute of Singapore, A*STAR, Singapore, 138672, Singapore
| | | | - Yue Wan
- Stem Cell and Regenerative Biology, Genome Institute of Singapore, A*STAR, Singapore, 138672, Singapore.
- Department of Biochemistry, National University of Singapore, Singapore, 117596, Singapore.
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3
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Yvon M, German TL, Ullman DE, Dasgupta R, Parker MH, Ben-Mahmoud S, Verdin E, Gognalons P, Ancelin A, Laï Kee Him J, Girard J, Vernerey MS, Fernandez E, Filloux D, Roumagnac P, Bron P, Michalakis Y, Blanc S. The genome of a bunyavirus cannot be defined at the level of the viral particle but only at the scale of the viral population. Proc Natl Acad Sci U S A 2023; 120:e2309412120. [PMID: 37983500 PMCID: PMC10691328 DOI: 10.1073/pnas.2309412120] [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: 06/11/2023] [Accepted: 10/21/2023] [Indexed: 11/22/2023] Open
Abstract
Bunyaviruses are enveloped negative or ambisense single-stranded RNA viruses with a genome divided into several segments. The canonical view depicts each viral particle packaging one copy of each genomic segment in one polarity named the viral strand. Several opposing observations revealed nonequal ratios of the segments, uneven number of segments per virion, and even packaging of viral complementary strands. Unfortunately, these observations result from studies often addressing other questions, on distinct viral species, and not using accurate quantitative methods. Hence, what RNA segments and strands are packaged as the genome of any bunyavirus remains largely ambiguous. We addressed this issue by first investigating the virion size distribution and RNA content in populations of the tomato spotted wilt virus (TSWV) using microscopy and tomography. These revealed heterogeneity in viral particle volume and amount of RNA content, with a surprising lack of correlation between the two. Then, the ratios of all genomic segments and strands were established using RNA sequencing and qRT-PCR. Within virions, both plus and minus strands (but no mRNA) are packaged for each of the three L, M, and S segments, in reproducible nonequimolar proportions determined by those in total cell extracts. These results show that virions differ in their genomic content but together build up a highly reproducible genetic composition of the viral population. This resembles the genome formula described for multipartite viruses, with which some species of the order Bunyavirales may share some aspects of the way of life, particularly emerging properties at a supravirion scale.
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Affiliation(s)
- Michel Yvon
- PHIM, Univ Montpellier, INRAE, CIRAD, IRD, Institut Agro, Montpellier34398, France
| | - Thomas L. German
- Department of Entomology, University of Wisconsin, Wisconsin53706, Madison
| | - Diane E. Ullman
- Department of Entomology and Nematology, University of California, California95616, Davis
| | - Ranjit Dasgupta
- Department of Entomology, University of Wisconsin, Wisconsin53706, Madison
| | - Maxwell H. Parker
- Department of Entomology, University of Wisconsin, Wisconsin53706, Madison
| | - Sulley Ben-Mahmoud
- Department of Entomology and Nematology, University of California, California95616, Davis
| | - Eric Verdin
- Pathologie végétale, INRAE, Avignon84143, France
| | | | - Aurélie Ancelin
- CBS, Univ Montpellier, CNRS, INSERM, Montpellier34090, France
| | | | - Justine Girard
- CBS, Univ Montpellier, CNRS, INSERM, Montpellier34090, France
| | | | - Emmanuel Fernandez
- PHIM, Univ Montpellier, INRAE, CIRAD, IRD, Institut Agro, Montpellier34398, France
| | - Denis Filloux
- PHIM, Univ Montpellier, INRAE, CIRAD, IRD, Institut Agro, Montpellier34398, France
| | - Philippe Roumagnac
- PHIM, Univ Montpellier, INRAE, CIRAD, IRD, Institut Agro, Montpellier34398, France
| | - Patrick Bron
- CBS, Univ Montpellier, CNRS, INSERM, Montpellier34090, France
| | | | - Stéphane Blanc
- PHIM, Univ Montpellier, INRAE, CIRAD, IRD, Institut Agro, Montpellier34398, France
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4
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Boezen D, Johnson ML, Grum-Grzhimaylo AA, van der Vlugt RA, Zwart MP. Evaluation of sequencing and PCR-based methods for the quantification of the viral genome formula. Virus Res 2023; 326:199064. [PMID: 36746340 DOI: 10.1016/j.virusres.2023.199064] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 01/30/2023] [Accepted: 02/02/2023] [Indexed: 02/08/2023]
Abstract
Viruses show great diversity in their genome organization. Multipartite viruses package their genome segments into separate particles, most or all of which are required to initiate infection in the host cell. The benefits of such seemingly inefficient genome organization are not well understood. One hypothesised benefit of multipartition is that it allows for flexible changes in gene expression by altering the frequency of each genome segment in different environments, such as encountering different host species. The ratio of the frequency of segments is termed the genome formula (GF). Thus far, formal studies quantifying the GF have been performed for well-characterised virus-host systems in experimental settings using RT-qPCR. However, to understand GF variation in natural populations or novel virus-host systems, a comparison of several methods for GF estimation including high-throughput sequencing (HTS) based methods is needed. Currently, it is unclear how HTS-methods compare a golden standard, such as RT-qPCR. Here we show a comparison of multiple GF quantification methods (RT-qPCR, RT-digital PCR, Illumina RNAseq and Nanopore direct RNA sequencing) using three host plants (Nicotiana tabacum, Nicotiana benthamiana, and Chenopodium quinoa) infected with cucumber mosaic virus (CMV), a tripartite RNA virus. Our results show that all methods give roughly similar results, though there is a significant method effect on genome formula estimates. While the RT-qPCR and RT-dPCR GF estimates are congruent, the GF estimates from HTS methods deviate from those found with PCR. Our findings emphasize the need to tailor the GF quantification method to the experimental aim, and highlight that it may not be possible to compare HTS and PCR-based methods directly. The difference in results between PCR-based methods and HTS highlights that the choice of quantification technique is not trivial.
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Affiliation(s)
- Dieke Boezen
- Netherlands Institute of Ecology (NIOO-KNAW), Droevendaalsesteeg 10, Wageningen 6708PB, The Netherlands; Laboratory of Virology, Wageningen University, Droevendaalsesteeg 1, Wageningen 6708PB, The Netherlands.
| | - Marcelle L Johnson
- Netherlands Institute of Ecology (NIOO-KNAW), Droevendaalsesteeg 10, Wageningen 6708PB, The Netherlands; Laboratory of Virology, Wageningen University, Droevendaalsesteeg 1, Wageningen 6708PB, The Netherlands
| | - Alexey A Grum-Grzhimaylo
- Netherlands Institute of Ecology (NIOO-KNAW), Droevendaalsesteeg 10, Wageningen 6708PB, The Netherlands; Westerdijk Fungal Biodiversity Institute, Uppsalalaan 8, Utrecht 3584CT, The Netherlands
| | - René Aa van der Vlugt
- Laboratory of Virology, Wageningen University, Droevendaalsesteeg 1, Wageningen 6708PB, The Netherlands
| | - Mark P Zwart
- Netherlands Institute of Ecology (NIOO-KNAW), Droevendaalsesteeg 10, Wageningen 6708PB, The Netherlands
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5
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Misu M, Yoshikawa T, Sugimoto S, Takamatsu Y, Kurosu T, Ouji Y, Yoshikawa M, Shimojima M, Ebihara H, Saijo M. Rapid whole genome sequencing methods for RNA viruses. Front Microbiol 2023; 14:1137086. [PMID: 36910229 PMCID: PMC9995502 DOI: 10.3389/fmicb.2023.1137086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Accepted: 02/06/2023] [Indexed: 02/25/2023] Open
Abstract
RNA viruses are the etiological agents of many infectious diseases. Since RNA viruses are error-prone during genome replication, rapid, accurate and economical whole RNA viral genome sequence determination is highly demanded. Next-generation sequencing (NGS) techniques perform whole viral genome sequencing due to their high-throughput sequencing capacity. However, the NGS techniques involve a significant burden for sample preparation. Since to generate complete viral genome coverage, genomic nucleic acid enrichment is required by reverse transcription PCR using virus-specific primers or by viral particle concentration. Furthermore, conventional NGS techniques cannot determine the 5' and 3' terminal sequences of the RNA viral genome. Therefore, the terminal sequences are determined one by one using rapid amplification of cDNA ends (RACE). However, since some RNA viruses have segmented genomes, the burden of the determination using RACE is proportional to the number of segments. To date, there is only one study attempting whole genome sequencing of multiple RNA viruses without using above mentioned methods, but the generated sequences' accuracy compared to the reference sequences was up to 97% and did not reach 100% due to the low read depth. Hence, we established novel methods, named PCR-NGS and RCA-NGS, that were optimized for an NGS machine, MinION. These methods do not require nucleic acid amplification with virus-specific PCR primers, physical viral particle enrichment, and RACE. These methods enable whole RNA viral genome sequencing by combining the following techniques: (1) removal of unwanted DNA and RNA other than the RNA viral genome by nuclease treatment; (2) the terminal of viral genome sequence determination by barcoded linkers ligation; (3) amplification of the viral genomic cDNA using ligated linker sequences-specific PCR or an isothermal DNA amplification technique, such as rolling circle amplification (RCA). The established method was evaluated using isolated RNA viruses with single-stranded, double-stranded, positive-stranded, negative-stranded, non-segmented or multi-segmented genomes. As a result, all the viral genome sequences could be determined with 100% accuracy, and these mean read depths were greater than 2,500×, at least using either of the methods. This method should allow for easy and economical determination of accurate RNA viral genomes.
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Affiliation(s)
- Masayasu Misu
- Department of Virology I, National Institute of Infectious Diseases, Tokyo, Japan.,Department of Pathogen, Infection and Immunity, Nara Medical University, Nara, Japan
| | - Tomoki Yoshikawa
- Department of Virology I, National Institute of Infectious Diseases, Tokyo, Japan
| | - Satoko Sugimoto
- Department of Virology I, National Institute of Infectious Diseases, Tokyo, Japan
| | - Yuki Takamatsu
- Department of Virology I, National Institute of Infectious Diseases, Tokyo, Japan
| | - Takeshi Kurosu
- Department of Virology I, National Institute of Infectious Diseases, Tokyo, Japan
| | - Yukiteru Ouji
- Department of Pathogen, Infection and Immunity, Nara Medical University, Nara, Japan
| | - Masahide Yoshikawa
- Department of Pathogen, Infection and Immunity, Nara Medical University, Nara, Japan
| | - Masayuki Shimojima
- Department of Virology I, National Institute of Infectious Diseases, Tokyo, Japan
| | - Hideki Ebihara
- Department of Virology I, National Institute of Infectious Diseases, Tokyo, Japan
| | - Masayuki Saijo
- Department of Virology I, National Institute of Infectious Diseases, Tokyo, Japan
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6
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Yang C, Yu C, Zhang Z, Wang D, Yuan X. Molecular Characteristics of Subgenomic RNAs and the Cap-Dependent Translational Advantage Relative to Corresponding Genomic RNAs of Tomato spotted wilt virus. Int J Mol Sci 2022; 23:ijms232315074. [PMID: 36499398 PMCID: PMC9741439 DOI: 10.3390/ijms232315074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Revised: 11/18/2022] [Accepted: 11/29/2022] [Indexed: 12/03/2022] Open
Abstract
Tomato spotted wilt virus (TSWV) causes severe viral diseases on many economically important plants of Solanaceae. During the infection process of TSWV, a series of 3'-truncated subgenomic RNAs (sgRNAs) relative to corresponding genomic RNAs were synthesized, which were responsible for the expression of some viral proteins. However, corresponding genomic RNAs (gRNAs) seem to possess the basic elements for expression of these viral proteins. In this study, molecular characteristics of sgRNAs superior to genomic RNAs in viral protein expression were identified. The 3' ends of sgRNAs do not cover the entire intergenic region (IGR) of TSWV genomic RNAs and contain the remarkable A-rich characteristics. In addition, the 3' terminal nucleotides of sgRNAs are conserved among different TSWV isolates. Based on the eIF4E recruitment assay and subsequent northern blot, it is suggested that the TSWV sgRNA, but not gRNA, is capped in vivo; this is why sgRNA is competent for protein expression relative to gRNA. In addition, the 5' and 3' untranslated region (UTR) of sgRNA-Ns can synergistically enhance cap-dependent translation. This study further enriched the understanding of sgRNAs of ambisense RNA viruses.
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Affiliation(s)
| | | | | | - Deya Wang
- Correspondence: (D.W.); (X.Y.); Tel.: +86-632-3786776 (D.W.); +86-538-8205608 (X.Y.)
| | - Xuefeng Yuan
- Correspondence: (D.W.); (X.Y.); Tel.: +86-632-3786776 (D.W.); +86-538-8205608 (X.Y.)
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7
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Khan MAA, Ghosh P, Chowdhury R, Hossain F, Mahmud A, Faruque ASG, Ahmed T, Abd El Wahed A, Mondal D. Feasibility of MinION Nanopore Rapid Sequencing in the Detection of Common Diarrhea Pathogens in Fecal Specimen. Anal Chem 2022; 94:16658-16666. [DOI: 10.1021/acs.analchem.2c02771] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Affiliation(s)
- Md Anik Ashfaq Khan
- Nutrition and Clinical Services Division, International Centre for Diarrheal Disease Research, Bangladesh, Dhaka-1212, Bangladesh
- Institute of Animal Hygiene and Veterinary Public Health, University of Leipzig, An den Tierkliniken 1, 04103Leipzig, Germany
| | - Prakash Ghosh
- Nutrition and Clinical Services Division, International Centre for Diarrheal Disease Research, Bangladesh, Dhaka-1212, Bangladesh
| | - Rajashree Chowdhury
- Nutrition and Clinical Services Division, International Centre for Diarrheal Disease Research, Bangladesh, Dhaka-1212, Bangladesh
| | - Faria Hossain
- Nutrition and Clinical Services Division, International Centre for Diarrheal Disease Research, Bangladesh, Dhaka-1212, Bangladesh
| | - Araf Mahmud
- Laboratory Sciences and Services Division, International Centre for Diarrheal Disease Research, Bangladesh, Dhaka-1212, Bangladesh
| | - Abu S. G. Faruque
- Nutrition and Clinical Services Division, International Centre for Diarrheal Disease Research, Bangladesh, Dhaka-1212, Bangladesh
| | - Tahmeed Ahmed
- Nutrition and Clinical Services Division, International Centre for Diarrheal Disease Research, Bangladesh, Dhaka-1212, Bangladesh
| | - Ahmed Abd El Wahed
- Nutrition and Clinical Services Division, International Centre for Diarrheal Disease Research, Bangladesh, Dhaka-1212, Bangladesh
| | - Dinesh Mondal
- Nutrition and Clinical Services Division, International Centre for Diarrheal Disease Research, Bangladesh, Dhaka-1212, Bangladesh
- Laboratory Sciences and Services Division, International Centre for Diarrheal Disease Research, Bangladesh, Dhaka-1212, Bangladesh
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8
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Jain M, Abu-Shumays R, Olsen HE, Akeson M. Advances in nanopore direct RNA sequencing. Nat Methods 2022; 19:1160-1164. [PMID: 36203024 DOI: 10.1038/s41592-022-01633-w] [Citation(s) in RCA: 37] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Miten Jain
- Northeastern University, Boston, MA, USA.
| | | | | | - Mark Akeson
- University of California, Santa Cruz, CA, USA.
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9
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Transcriptome dataset of six human pathogen RNA viruses generated by nanopore sequencing. Data Brief 2022; 43:108386. [PMID: 35789906 PMCID: PMC9249600 DOI: 10.1016/j.dib.2022.108386] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 05/28/2022] [Accepted: 06/08/2022] [Indexed: 12/04/2022] Open
Abstract
Long-read sequencing (LRS) approaches shed new light on the complexity of viral (Kakuk et al., 2021 [1]; Boldogkői et al., 2019 [2]; Depledge et a., 2019 [3]), bacterial (Yan et al., 2018 [4]) and eukaryotic (Tilgner et al., 2014 [5]) transcriptomes. Emerging RNA viruses are zoonotic (Woolhouse et al., 2016 [6]) and create public health problems, e.g. influenza pandemic caused by H1N1 virus in (Fraser et al., 2009 [7]), as well as the current SARS-CoV-2 pandemic (Kim et al., 2020 [8]). In this study, we carried out nanopore sequencing for generating transcriptomic data valuable for structural and kinetic profiling of six important human pathogen RNA viruses, the H1N1 subtype of Influenza A virus (IVA), the Zika virus (ZIKV), the West Nile virus (WNV), the Crimean-Congo hemorrhagic fever virus (CCHFV), the Coxsackievirus [group B serotype 5 (CVB5)] and the Vesicular stomatitis Indiana virus (VSIV), and the response of host cells upon viral infection. The raw sequencing data were filtered during basecalling and only high quality reads (Qscore ≥ 7) were mapped to the appropriate viral and host genomes. Length distribution of sequencing reads were assessed and statistics of data were plotted by the ReadStat.4 python script. The datasets can be used to profile the transcriptomic landscape of RNA viruses, provide information for novel gene annotations, can serve as resource for studying the virus-host interactions, and for the analysis of RNA base modifications. These datasets can be used to compare the different sequencing techniques, library preparation approaches, bioinformatics pipelines, and to analyze the RNA profiles of viruses with small RNA genomes.
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10
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Smith SE, Huang W, Tiamani K, Unterer M, Khan Mirzaei M, Deng L. Emerging technologies in the study of the virome. Curr Opin Virol 2022; 54:101231. [DOI: 10.1016/j.coviro.2022.101231] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Revised: 04/16/2022] [Accepted: 04/19/2022] [Indexed: 11/03/2022]
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11
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Pecman A, Adams I, Gutiérrez-Aguirre I, Fox A, Boonham N, Ravnikar M, Kutnjak D. Systematic Comparison of Nanopore and Illumina Sequencing for the Detection of Plant Viruses and Viroids Using Total RNA Sequencing Approach. Front Microbiol 2022; 13:883921. [PMID: 35633678 PMCID: PMC9131090 DOI: 10.3389/fmicb.2022.883921] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Accepted: 03/31/2022] [Indexed: 11/13/2022] Open
Abstract
High-throughput sequencing (HTS) has become an important tool for plant virus detection and discovery. Nanopore sequencing has been rapidly developing in the recent years and offers new possibilities for fast diagnostic applications of HTS. With this in mind, a study was completed, comparing the most established HTS platform (MiSeq benchtop sequencer-Illumina), with the MinION sequencer (Oxford Nanopore Technologies) for the detection of plant viruses and viroids. Method comparisons were performed on five selected samples, containing two viroids, which were sequenced using nanopore technology for the first time and 11 plant viruses with different genome organizations. For all samples, sequencing libraries for the MiSeq were prepared from ribosomal RNA-depleted total RNA (rRNA-depleted totRNA) and for MinION sequencing, direct RNA sequencing of totRNA was used. Moreover, for one of the samples, which contained five different plant viruses and a viroid, three additional variations of sample preparation for MinION sequencing were also used: direct RNA sequencing of rRNA-depleted totRNA, cDNA-PCR sequencing of totRNA, and cDNA-PCR sequencing of rRNA-depleted totRNA. Whilst direct RNA sequencing of total RNA was the quickest of the tested approaches, it was also the least sensitive: using this approach, we failed to detect only one virus that was present in a sample at an extremely low titer. All other MinION sequencing approaches showed improved performance with outcomes similar to Illumina sequencing, with cDNA-PCR sequencing of rRNA-depleted totRNA showing the best performance amongst tested nanopore MinION sequencing approaches. Moreover, when enough sequencing data were generated, high-quality consensus viral genome sequences could be reconstructed from MinION sequencing data, with high identity to the ones generated from Illumina data. The results of this study implicate that, when an appropriate sample and library preparation are selected, nanopore MinION sequencing could be used for the detection of plant viruses and viroids with similar performance as Illumina sequencing. Taken as a balance of practicality and performance, this suggests that MinION sequencing may be an ideal tool for fast and affordable virus diagnostics.
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Affiliation(s)
- Anja Pecman
- Department of Biotechnology and System Biology, National Institute of Biology, Ljubljana, Slovenia.,Jožef Stefan International Postgraduate School, Ljubljana, Slovenia
| | - Ian Adams
- Fera Science Ltd., York, United Kingdom
| | - Ion Gutiérrez-Aguirre
- Department of Biotechnology and System Biology, National Institute of Biology, Ljubljana, Slovenia
| | | | - Neil Boonham
- Institute for Agri-Food Research and Innovation, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Maja Ravnikar
- Department of Biotechnology and System Biology, National Institute of Biology, Ljubljana, Slovenia
| | - Denis Kutnjak
- Department of Biotechnology and System Biology, National Institute of Biology, Ljubljana, Slovenia
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12
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Wongsurawat T, Jenjaroenpun P, Wanchai V, Nookaew I. Native RNA or cDNA Sequencing for Transcriptomic Analysis: A Case Study on Saccharomyces cerevisiae. Front Bioeng Biotechnol 2022; 10:842299. [PMID: 35497361 PMCID: PMC9039254 DOI: 10.3389/fbioe.2022.842299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Accepted: 03/01/2022] [Indexed: 11/13/2022] Open
Abstract
Direct sequencing of single molecules through nanopores allows for accurate quantification and full-length characterization of native RNA or complementary DNA (cDNA) without amplification. Both nanopore-based native RNA and cDNA approaches involve complex transcriptome procedures at a lower cost. However, there are several differences between the two approaches. In this study, we perform matched native RNA sequencing and cDNA sequencing to enable relevant comparisons and evaluation. Using Saccharomyces cerevisiae, a eukaryotic model organism widely used in industrial biotechnology, two different growing conditions are considered for comparison, including the poly-A messenger RNA isolated from yeast cells grown in minimum media under respirofermentative conditions supplemented with glucose (glucose growth conditions) and from cells that had shifted to ethanol as a carbon source (ethanol growth conditions). Library preparation for direct RNA sequencing is shorter than that for direct cDNA sequencing. The sequence characteristics of the two methods were different, such as sequence yields, quality score of reads, read length distribution, and mapped on reference ability of reads. However, differential gene expression analyses derived from the two approaches are comparable. The unique feature of direct RNA sequencing is RNA modification; we found that the RNA modification at the 5' end of a transcript was underestimated due to the 3' bias behavior of the direct RNA sequencing. Our comprehensive evaluation from this work could help researchers make informed choices when selecting an appropriate long-read sequencing method for understanding gene functions, pathways, and detailed functional characterization.
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Affiliation(s)
- Thidathip Wongsurawat
- Division of Bioinformatics and Data Management for Research, Research Group and Research Network Division, Research Department, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Piroon Jenjaroenpun
- Division of Bioinformatics and Data Management for Research, Research Group and Research Network Division, Research Department, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Visanu Wanchai
- Department of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, United States
| | - Intawat Nookaew
- Department of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, United States
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13
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Ditz B, Boekhoudt J, Couto N, Brandsma CA, Hiemstra PS, Tew GW, Neighbors M, Grimbaldeston MA, Timens W, Kerstjens HAM, Rossen JWA, Guryev V, van den Berge M, Faiz A. The Microbiome in Bronchial Biopsies from Smokers and Ex-Smokers with Stable COPD - A Metatranscriptomic Approach. COPD 2022; 19:81-87. [PMID: 35118915 DOI: 10.1080/15412555.2022.2033193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
Current knowledge about the respiratory microbiome is mainly based on 16S ribosomal RNA gene sequencing. Newer sequencing approaches, such as metatranscriptomics, offer the technical ability to measure the viable microbiome response to environmental conditions such as smoking as well as to explore its functional role by investigating host-microbiome interactions. However, knowledge about its feasibility in respiratory microbiome research, especially in lung biopsies, is still very limited. RNA sequencing was performed in bronchial biopsies from clinically stable smokers (n = 5) and ex-smokers (n = 6) with COPD not using (inhaled) steroids. The Trinity assembler was used to assemble non-human reads in order to allow unbiased taxonomical and microbial transcriptional analyses. Subsequently, host-microbiome interactions were analyzed based on associations with host transcriptomic data. Ultra-low levels of microbial mass (0.009%) were identified in the RNA-seq data. Overall, no differences were identified in microbiome diversity or transcriptional profiles of microbial communities or individual microbes between COPD smokers and ex-smokers in the initial test dataset as well as a larger replication dataset. We identified an upregulated host gene set, related to the simultaneous presence of Bradyrhizobium, Roseomonas, Brevibacterium.spp., which were related to PERK-mediated unfolded protein response (UPR) and expression of the microRNA-155-5p. Our results show that metatranscriptomic profiling in bronchial biopsy samples from stable COPD patients yields ultra-low levels of microbial mass. Further, this study illustrates the potential of using transcriptional profiling of the host and microbiome to gain more insight into their interaction in the airways.
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Affiliation(s)
- B Ditz
- Department of Pulmonary Diseases, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.,University of Groningen, University Medical Center Groningen, Groningen Research Institute for Asthma and COPD, Groningen, the Netherlands
| | - J Boekhoudt
- University of Groningen, University Medical Center Groningen, Groningen Research Institute for Asthma and COPD, Groningen, the Netherlands.,Department of Pathology & Medical Biology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - N Couto
- Department of Medical Microbiology and Infection Prevention, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.,Milner Centre for Evolution, Department of Biology and Biochemistry, University of Bath, Bath, UK
| | - C A Brandsma
- University of Groningen, University Medical Center Groningen, Groningen Research Institute for Asthma and COPD, Groningen, the Netherlands.,Department of Pathology & Medical Biology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - P S Hiemstra
- Department of Pulmonology, Leiden University Medical Center, Leiden, the Netherlands
| | - G W Tew
- OMNI-Biomarker Development, Genentech Inc, South San Francisco, CA, USA
| | - M Neighbors
- OMNI-Biomarker Development, Genentech Inc, South San Francisco, CA, USA
| | - M A Grimbaldeston
- OMNI-Biomarker Development, Genentech Inc, South San Francisco, CA, USA
| | - W Timens
- University of Groningen, University Medical Center Groningen, Groningen Research Institute for Asthma and COPD, Groningen, the Netherlands.,Department of Pathology & Medical Biology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - H A M Kerstjens
- Department of Pulmonary Diseases, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.,University of Groningen, University Medical Center Groningen, Groningen Research Institute for Asthma and COPD, Groningen, the Netherlands
| | - J W A Rossen
- Department of Pathology & Medical Biology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.,IDbyDNA Inc, Salt Lake City, UT, USA.,University of Utah School of Medicine, Department of Pathology, Salt Lake City, UT, USA
| | - V Guryev
- European Research Institute for the Biology of Ageing, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - M van den Berge
- Department of Pulmonary Diseases, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.,University of Groningen, University Medical Center Groningen, Groningen Research Institute for Asthma and COPD, Groningen, the Netherlands
| | - A Faiz
- Department of Pulmonary Diseases, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.,University of Groningen, University Medical Center Groningen, Groningen Research Institute for Asthma and COPD, Groningen, the Netherlands.,Faculty of Science, University of Technology Sydney, Ultimo, NSW, Australia
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14
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Boysen G, Nookaew I. Current and Future Methodology for Quantitation and Site-Specific Mapping the Location of DNA Adducts. TOXICS 2022; 10:toxics10020045. [PMID: 35202232 PMCID: PMC8876591 DOI: 10.3390/toxics10020045] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 01/12/2022] [Accepted: 01/15/2022] [Indexed: 02/01/2023]
Abstract
Formation of DNA adducts is a key event for a genotoxic mode of action, and their presence is often used as a surrogate for mutation and increased cancer risk. Interest in DNA adducts are twofold: first, to demonstrate exposure, and second, to link DNA adduct location to subsequent mutations or altered gene regulation. Methods have been established to quantitate DNA adducts with high chemical specificity and to visualize the location of DNA adducts, and elegant bio-analytical methods have been devised utilizing enzymes, various chemistries, and molecular biology methods. Traditionally, these highly specific methods cannot be combined, and the results are incomparable. Initially developed for single-molecule DNA sequencing, nanopore-type technologies are expected to enable simultaneous quantitation and location of DNA adducts across the genome. Herein, we briefly summarize the current methodologies for state-of-the-art quantitation of DNA adduct levels and mapping of DNA adducts and describe novel single-molecule DNA sequencing technologies to achieve both measures. Emerging technologies are expected to soon provide a comprehensive picture of the exposome and identify gene regions susceptible to DNA adduct formation.
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Affiliation(s)
- Gunnar Boysen
- Department Environmental and Occupational Health, Fay W. Boozman College of Public Health, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
- The Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA;
- Correspondence:
| | - Intawat Nookaew
- The Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA;
- Department Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
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15
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Wongsurawat T, Jenjaroenpun P, Nookaew I. Direct Sequencing of RNA and RNA Modification Identification Using Nanopore. Methods Mol Biol 2022; 2477:71-77. [PMID: 35524112 PMCID: PMC10619517 DOI: 10.1007/978-1-0716-2257-5_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] [Indexed: 06/14/2023]
Abstract
Direct RNA sequencing (dRNA-seq) simultaneously enables the detection of RNA modifications and characterization of full-length transcripts. In principle, full-length native RNA molecule is translocated through the nanopore by a motor protein while a sensor measures ionic current shifts. Then, the current shifts are interpreted by an algorithm that turn out to RNA sequence. Currently, the standard protocol of dRNA-seq provided by Oxford Nanopore Technologies (ONT) allows to directly ligate and sequence only polyadenylated RNA (poly(A) RNA). Here, we describe a method of dRNA-seq that can be applied for both poly(A) RNA and non-poly(A) tailed-RNA.
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Affiliation(s)
- Thidathip Wongsurawat
- Division of Bioinformatics and Data Management for Research, Department of Research and Development, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
| | - Piroon Jenjaroenpun
- Division of Bioinformatics and Data Management for Research, Department of Research and Development, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Intawat Nookaew
- Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, USA
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16
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Fang Y, Changavi A, Yang M, Sun L, Zhang A, Sun D, Sun Z, Zhang B, Xu M. Nanopore Whole Transcriptome Analysis and Pathogen Surveillance by a Novel Solid-Phase Catalysis Approach. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2022; 9:e2103373. [PMID: 34837482 PMCID: PMC8787394 DOI: 10.1002/advs.202103373] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Revised: 10/28/2021] [Indexed: 06/13/2023]
Abstract
The requirement of a large input amount (500 ng) for Nanopore direct RNA-seq presents a major challenge for low input transcriptomic analysis and early pathogen surveillance. The high RNA input requirement is attributed to significant sample loss associated with library preparation using solid-phase reversible immobilization (SPRI) beads. A novel solid-phase catalysis strategy for RNA library preparation to circumvent the need for SPRI bead purification to remove enzymes is reported here. This new approach leverages concurrent processing of non-polyadenylated transcripts with immobilized poly(A) polymerase and T4 DNA ligase, followed by directly loading the prepared library onto a flow cell. Whole transcriptome sequencing, using a human pathogen Listeria monocytogenes as a model, demonstrates this new method displays little sample loss, takes much less time, and generates higher sequencing throughput correlated with reduced nanopore fouling compared to the current library preparation for 500 ng input. Consequently, this approach enables Nanopore low-input direct RNA-seq, improving pathogen detection and transcript identification in a microbial community standard with spike-in transcript controls. Besides, as evident in the bioinformatic analysis, the new method provides accurate RNA consensus with high fidelity and identifies higher numbers of expressed genes for both high and low input RNA amounts.
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Affiliation(s)
- Yi Fang
- New England Biolabs, Inc.IpswichMA01938USA
| | | | - Manyun Yang
- Department of Microbiology and ImmunologyCornell UniversityIthacaNY14853USA
| | - Luo Sun
- New England Biolabs, Inc.IpswichMA01938USA
| | | | - Daniel Sun
- New England Biolabs, Inc.IpswichMA01938USA
| | - Zhiyi Sun
- New England Biolabs, Inc.IpswichMA01938USA
| | - Boce Zhang
- Department of Food Science and Human NutritionUniversity of FloridaGainesvilleFL32603USA
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17
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Vo JM, Mulroney L, Quick-Cleveland J, Jain M, Akeson M, Ares M. Synthesis of modified nucleotide polymers by the poly(U) polymerase Cid1: application to direct RNA sequencing on nanopores. RNA (NEW YORK, N.Y.) 2021; 27:1497-1511. [PMID: 34446532 PMCID: PMC8594468 DOI: 10.1261/rna.078898.121] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Accepted: 08/23/2021] [Indexed: 05/27/2023]
Abstract
Understanding transcriptomes requires documenting the structures, modifications, and abundances of RNAs as well as their proximity to other molecules. The methods that make this possible depend critically on enzymes (including mutant derivatives) that act on nucleic acids for capturing and sequencing RNA. We tested two 3' nucleotidyl transferases, Saccharomyces cerevisiae poly(A) polymerase and Schizosaccharomyces pombe Cid1, for the ability to add base and sugar modified rNTPs to free RNA 3' ends, eventually focusing on Cid1. Although unable to polymerize ΨTP or 1meΨTP, Cid1 can use 5meUTP and 4thioUTP. Surprisingly, Cid1 can use inosine triphosphate to add poly(I) to the 3' ends of a wide variety of RNA molecules. Most poly(A) mRNAs efficiently acquire a uniform tract of about 50 inosine residues from Cid1, whereas non-poly(A) RNAs acquire longer, more heterogeneous tails. Here we test these activities for use in direct RNA sequencing on nanopores, and find that Cid1-mediated poly(I)-tailing permits detection and quantification of both mRNAs and non-poly(A) RNAs simultaneously, as well as enabling the analysis of nascent RNAs associated with RNA polymerase II. Poly(I) produces a different current trace than poly(A), enabling recognition of native RNA 3' end sequence lost by in vitro poly(A) addition. Addition of poly(I) by Cid1 offers a broadly useful alternative to poly(A) capture for direct RNA sequencing on nanopores.
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Affiliation(s)
- Jenny Mai Vo
- Department of Molecular, Cell, and Developmental Biology, University of California Santa Cruz, Santa Cruz, California 95064, USA
| | - Logan Mulroney
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, California 95064, USA
| | - Jen Quick-Cleveland
- Department of Molecular, Cell, and Developmental Biology, University of California Santa Cruz, Santa Cruz, California 95064, USA
| | - Miten Jain
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, California 95064, USA
| | - Mark Akeson
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, California 95064, USA
| | - Manuel Ares
- Department of Molecular, Cell, and Developmental Biology, University of California Santa Cruz, Santa Cruz, California 95064, USA
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18
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Abstract
The transcriptomes of Pseudomonas aeruginosa clone C isolates NN2 and SG17M during the mid-exponential and early stationary phase of planktonic growth were evaluated by direct RNA sequencing on the nanopore platform and compared with established short-read cDNA sequencing on the Illumina platform. Fifty to ninety percent of the sense RNAs turned out to be rRNA molecules followed by similar proportions of mRNA transcripts and non-coding RNAs. Both platforms detected similar proportions of uncharged tRNAs and 29 yet undescribed antisense tRNAs. For example, the rarest arginine codon was paired with the most abundant tRNAArg, and the tRNAArg gene is missing for the most frequent arginine codon. More than 90% of the antisense RNA molecules were complementary to a coding sequence. The antisense RNAs were evenly distributed in the genomes. Direct RNA sequencing identified more than 4,000 distinct non-overlapping antisense RNAs during exponential and stationary growth. Besides highly expressed small antisense RNAs less than 200 bases in size, a population of longer antisense RNAs was sequenced that covered a broad range of a few hundred to thousands of bases and could be complementary to a contig of several genes. In summary, direct RNA sequencing identified yet undescribed RNA molecules and an unexpected composition of the pools of tRNAs, sense and antisense RNAs. IMPORTANCE Genome-wide gene expression of bacteria is commonly studied by high-throughput sequencing of size-selected cDNA fragment libraries of reverse-transcribed RNA preparations. However, the depletion of ribosomal RNAs, enzymatic reverse transcription and the fragmentation, size selection and amplification during library preparation lead to inevitable losses of information about the initial composition of the RNA pool. We demonstrate that direct RNA sequencing on the nanopore platform can overcome these limitations. Nanopore sequencing of total RNA yielded novel insights into the Pseudomonas aeruginosa transcriptome that - if replicated in other species - will change our view of the bacterial RNA world. The discovery of sense - antisense pairs of tmRNA, tRNAs and mRNAs indicates a further and unknown level of gene regulation in bacteria.
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19
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Nanopore sequencing technology, bioinformatics and applications. Nat Biotechnol 2021; 39:1348-1365. [PMID: 34750572 PMCID: PMC8988251 DOI: 10.1038/s41587-021-01108-x] [Citation(s) in RCA: 467] [Impact Index Per Article: 155.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2019] [Accepted: 09/22/2021] [Indexed: 12/13/2022]
Abstract
Rapid advances in nanopore technologies for sequencing single long DNA and RNA molecules have led to substantial improvements in accuracy, read length and throughput. These breakthroughs have required extensive development of experimental and bioinformatics methods to fully exploit nanopore long reads for investigations of genomes, transcriptomes, epigenomes and epitranscriptomes. Nanopore sequencing is being applied in genome assembly, full-length transcript detection and base modification detection and in more specialized areas, such as rapid clinical diagnoses and outbreak surveillance. Many opportunities remain for improving data quality and analytical approaches through the development of new nanopores, base-calling methods and experimental protocols tailored to particular applications.
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20
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Hasiów-Jaroszewska B, Boezen D, Zwart MP. Metagenomic Studies of Viruses in Weeds and Wild Plants: A Powerful Approach to Characterise Variable Virus Communities. Viruses 2021; 13:1939. [PMID: 34696369 PMCID: PMC8539035 DOI: 10.3390/v13101939] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Revised: 09/20/2021] [Accepted: 09/23/2021] [Indexed: 11/23/2022] Open
Abstract
High throughput sequencing (HTS) has revolutionised virus detection and discovery, allowing for the untargeted characterisation of whole viromes. Viral metagenomics studies have demonstrated the ubiquity of virus infection - often in the absence of disease symptoms - and tend to discover many novel viruses, highlighting the small fraction of virus biodiversity described to date. The majority of the studies using high-throughput sequencing to characterise plant viromes have focused on economically important crops, and only a small number of studies have considered weeds and wild plants. Characterising the viromes of wild plants is highly relevant, as these plants can affect disease dynamics in crops, often by acting as viral reservoirs. Moreover, the viruses in unmanaged systems may also have important effects on wild plant populations and communities. Here, we review metagenomic studies on weeds and wild plants to show the benefits and limitations of this approach and identify knowledge gaps. We consider key genomics developments that are likely to benefit the field in the near future. Although only a small number of HTS studies have been performed on weeds and wild plants, these studies have already discovered many novel viruses, demonstrated unexpected trends in virus distributions, and highlighted the potential of metagenomics as an approach.
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Affiliation(s)
- Beata Hasiów-Jaroszewska
- Department of Virology and Bacteriology, Institute of Plant Protection-National Research Institute, Węgorka 20, 60-318 Poznań, Poland
| | - Dieke Boezen
- Department of Microbial Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Droevendaalsesteeg 10, 6708 PB Wageningen, The Netherlands; (D.B.); (M.P.Z.)
| | - Mark P. Zwart
- Department of Microbial Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Droevendaalsesteeg 10, 6708 PB Wageningen, The Netherlands; (D.B.); (M.P.Z.)
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21
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Kakuk B, Kiss AA, Torma G, Csabai Z, Prazsák I, Mizik M, Megyeri K, Tombácz D, Boldogkői Z. Nanopore Assay Reveals Cell-Type-Dependent Gene Expression of Vesicular Stomatitis Indiana Virus and Differential Host Cell Response. Pathogens 2021; 10:pathogens10091196. [PMID: 34578228 PMCID: PMC8468008 DOI: 10.3390/pathogens10091196] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Revised: 09/09/2021] [Accepted: 09/10/2021] [Indexed: 11/16/2022] Open
Abstract
Vesicular stomatitis Indiana virus (VSIV) of genus Vesiculovirus, species IndianaVesiculovirus (formerly as Vesicular stomatitis virus, VSV) causes a disease in livestock that is very similar to the foot and mouth disease, thereby an outbreak may lead to significant economic loss. Long-read sequencing (LRS) -based approaches already reveal a hidden complexity of the transcriptomes in several viruses. This technique has been utilized for the sequencing of the VSIV genome, but our study is the first for the application of this technique for the profiling of the VSIV transcriptome. Since LRS is able to sequence full-length RNA molecules, it thereby provides more accurate annotation of the transcriptomes than the traditional short-read sequencing methods. The objectives of this study were to assemble the complete transcriptome of using nanopore sequencing, to ascertain cell-type specificity and dynamics of viral gene expression, and to evaluate host gene expression changes induced by the viral infection. We carried out a time-course analysis of VSIV gene expression in human glioblastoma and primate fibroblast cell lines using a nanopore-based LRS approach and applied both amplified and direct cDNA sequencing (as well as cap-selection) for a fraction of samples. Our investigations revealed that, although the VSIV genome is simple, it generates a relatively complex transcriptomic architecture. In this study, we also demonstrated that VSIV transcripts vary in structure and exhibit differential gene expression patterns in the two examined cell types.
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Affiliation(s)
- Balázs Kakuk
- Department of Medical Biology, Faculty of Medicine, University of Szeged, 6720 Szeged, Hungary; (B.K.); (A.A.K.); (G.T.); (Z.C.); (I.P.); (M.M.); (D.T.)
| | - András Attila Kiss
- Department of Medical Biology, Faculty of Medicine, University of Szeged, 6720 Szeged, Hungary; (B.K.); (A.A.K.); (G.T.); (Z.C.); (I.P.); (M.M.); (D.T.)
| | - Gábor Torma
- Department of Medical Biology, Faculty of Medicine, University of Szeged, 6720 Szeged, Hungary; (B.K.); (A.A.K.); (G.T.); (Z.C.); (I.P.); (M.M.); (D.T.)
| | - Zsolt Csabai
- Department of Medical Biology, Faculty of Medicine, University of Szeged, 6720 Szeged, Hungary; (B.K.); (A.A.K.); (G.T.); (Z.C.); (I.P.); (M.M.); (D.T.)
| | - István Prazsák
- Department of Medical Biology, Faculty of Medicine, University of Szeged, 6720 Szeged, Hungary; (B.K.); (A.A.K.); (G.T.); (Z.C.); (I.P.); (M.M.); (D.T.)
| | - Máté Mizik
- Department of Medical Biology, Faculty of Medicine, University of Szeged, 6720 Szeged, Hungary; (B.K.); (A.A.K.); (G.T.); (Z.C.); (I.P.); (M.M.); (D.T.)
| | - Klára Megyeri
- Department of Medical Microbiology and Immunobiology, Faculty of Medicine, University of Szeged, 6720 Szeged, Hungary;
| | - Dóra Tombácz
- Department of Medical Biology, Faculty of Medicine, University of Szeged, 6720 Szeged, Hungary; (B.K.); (A.A.K.); (G.T.); (Z.C.); (I.P.); (M.M.); (D.T.)
| | - Zsolt Boldogkői
- Department of Medical Biology, Faculty of Medicine, University of Szeged, 6720 Szeged, Hungary; (B.K.); (A.A.K.); (G.T.); (Z.C.); (I.P.); (M.M.); (D.T.)
- Correspondence:
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22
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Tedersoo L, Albertsen M, Anslan S, Callahan B. Perspectives and Benefits of High-Throughput Long-Read Sequencing in Microbial Ecology. Appl Environ Microbiol 2021; 87:e0062621. [PMID: 34132589 PMCID: PMC8357291 DOI: 10.1128/aem.00626-21] [Citation(s) in RCA: 66] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Short-read, high-throughput sequencing (HTS) methods have yielded numerous important insights into microbial ecology and function. Yet, in many instances short-read HTS techniques are suboptimal, for example, by providing insufficient phylogenetic resolution or low integrity of assembled genomes. Single-molecule and synthetic long-read (SLR) HTS methods have successfully ameliorated these limitations. In addition, nanopore sequencing has generated a number of unique analysis opportunities, such as rapid molecular diagnostics and direct RNA sequencing, and both Pacific Biosciences (PacBio) and nanopore sequencing support detection of epigenetic modifications. Although initially suffering from relatively low sequence quality, recent advances have greatly improved the accuracy of long-read sequencing technologies. In spite of great technological progress in recent years, the long-read HTS methods (PacBio and nanopore sequencing) are still relatively costly, require large amounts of high-quality starting material, and commonly need specific solutions in various analysis steps. Despite these challenges, long-read sequencing technologies offer high-quality, cutting-edge alternatives for testing hypotheses about microbiome structure and functioning as well as assembly of eukaryote genomes from complex environmental DNA samples.
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Affiliation(s)
- Leho Tedersoo
- Mycology and Microbiology Center, University of Tartu, Tartu, Estonia
| | - Mads Albertsen
- Department of Chemistry and Bioscience, Aalborg University, Aalborg, Denmark
| | - Sten Anslan
- Mycology and Microbiology Center, University of Tartu, Tartu, Estonia
- Braunschweig University of Technology, Zoological Institute, Braunschweig, Germany
| | - Benjamin Callahan
- Department of Population Health and Pathobiology, College of Veterinary Medicine and Bioinformatics Research Center, North Carolina State University, Raleigh, North Carolina, USA
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23
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Liefting LW, Waite DW, Thompson JR. Application of Oxford Nanopore Technology to Plant Virus Detection. Viruses 2021; 13:v13081424. [PMID: 34452290 PMCID: PMC8402922 DOI: 10.3390/v13081424] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 07/15/2021] [Accepted: 07/20/2021] [Indexed: 12/13/2022] Open
Abstract
The adoption of Oxford Nanopore Technologies (ONT) sequencing as a tool in plant virology has been relatively slow despite its promise in more recent years to yield large quantities of long nucleotide sequences in real time without the need for prior amplification. The portability of the MinION and Flongle platforms combined with lowering costs and continued improvements in read accuracy make ONT an attractive method for both low- and high-scale virus diagnostics. Here, we provide a detailed step-by-step protocol using the ONT Flongle platform that we have developed for the routine application on a range of symptomatic post-entry quarantine and domestic surveillance plant samples. The aim of this methods paper is to highlight ONT’s feasibility as a valuable component to the diagnostician’s toolkit and to hopefully stimulate other laboratories towards the eventual goal of integrating high-throughput sequencing technologies as validated plant virus diagnostic methods in their own right.
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24
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Mizutani Y, Uesaka K, Ota A, Calassanzio M, Ratti C, Suzuki T, Fujimori F, Chiba S. De novo Sequencing of Novel Mycoviruses From Fusarium sambucinum: An Attempt on Direct RNA Sequencing of Viral dsRNAs. Front Microbiol 2021; 12:641484. [PMID: 33927702 PMCID: PMC8076516 DOI: 10.3389/fmicb.2021.641484] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Accepted: 03/16/2021] [Indexed: 11/17/2022] Open
Abstract
An increasing number of viruses are continuously being found in a wide range of organisms, including fungi. Recent studies have revealed a wide viral diversity in microbes and a potential importance of these viruses in the natural environment. Although virus exploration has been accelerated by short-read, high-throughput sequencing (HTS), and viral de novo sequencing is still challenging because of several biological/molecular features such as micro-diversity and secondary structure of RNA genomes. This study conducted de novo sequencing of multiple double-stranded (ds) RNA (dsRNA) elements that were obtained from fungal viruses infecting two Fusarium sambucinum strains, FA1837 and FA2242, using conventional HTS and long-read direct RNA sequencing (DRS). De novo assembly of the read data from both technologies generated near-entire genomic sequence of the viruses, and the sequence homology search and phylogenetic analysis suggested that these represented novel species of the Hypoviridae, Totiviridae, and Mitoviridae families. However, the DRS-based consensus sequences contained numerous indel errors that differed from the HTS consensus sequences, and these errors hampered accurate open reading frame (ORF) prediction. Although with its present performance, the use of DRS is premature to determine viral genome sequences, the DRS-mediated sequencing shows great potential as a user-friendly platform for a one-shot, whole-genome sequencing of RNA viruses due to its long-reading ability and relative structure-tolerant nature.
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Affiliation(s)
- Yukiyoshi Mizutani
- Graduate School of Bioagricultural Sciences, Nagoya University, Nagoya, Japan
| | - Kazuma Uesaka
- Center for Gene Research, Nagoya University, Nagoya, Japan
| | - Ayane Ota
- Graduate School of Bioagricultural Sciences, Nagoya University, Nagoya, Japan
| | - Matteo Calassanzio
- Department of Agricultural and Food Sciences, University of Bologna, Bologna, Italy
| | - Claudio Ratti
- Department of Agricultural and Food Sciences, University of Bologna, Bologna, Italy
| | - Takamasa Suzuki
- College of Bioscience and Biotechnology, Chubu University, Kasugai, Japan
| | - Fumihiro Fujimori
- Graduate School of Humanities and Life Sciences, Tokyo Kasei University, Itabashi, Japan
| | - Sotaro Chiba
- Graduate School of Bioagricultural Sciences, Nagoya University, Nagoya, Japan
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25
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Fitzpatrick AH, Rupnik A, O'Shea H, Crispie F, Keaveney S, Cotter P. High Throughput Sequencing for the Detection and Characterization of RNA Viruses. Front Microbiol 2021; 12:621719. [PMID: 33692767 PMCID: PMC7938315 DOI: 10.3389/fmicb.2021.621719] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Accepted: 01/20/2021] [Indexed: 12/12/2022] Open
Abstract
This review aims to assess and recommend approaches for targeted and agnostic High Throughput Sequencing of RNA viruses in a variety of sample matrices. HTS also referred to as deep sequencing, next generation sequencing and third generation sequencing; has much to offer to the field of environmental virology as its increased sequencing depth circumvents issues with cloning environmental isolates for Sanger sequencing. That said however, it is important to consider the challenges and biases that method choice can impart to sequencing results. Here, methodology choices from RNA extraction, reverse transcription to library preparation are compared based on their impact on the detection or characterization of RNA viruses.
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Affiliation(s)
- Amy H. Fitzpatrick
- Food Biosciences, Teagasc Food Research Centre, Fermoy, Ireland
- Shellfish Microbiology, Marine Institute, Oranmore, Ireland
- Biological Sciences, Munster Technological University, Cork, Ireland
| | | | - Helen O'Shea
- Biological Sciences, Munster Technological University, Cork, Ireland
| | - Fiona Crispie
- Food Biosciences, Teagasc Food Research Centre, Fermoy, Ireland
| | | | - Paul Cotter
- Food Biosciences, Teagasc Food Research Centre, Fermoy, Ireland
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26
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Jenjaroenpun P, Wongsurawat T, Wadley TD, Wassenaar TM, Liu J, Dai Q, Wanchai V, Akel NS, Jamshidi-Parsian A, Franco AT, Boysen G, Jennings ML, Ussery DW, He C, Nookaew I. Decoding the epitranscriptional landscape from native RNA sequences. Nucleic Acids Res 2021; 49:e7. [PMID: 32710622 PMCID: PMC7826254 DOI: 10.1093/nar/gkaa620] [Citation(s) in RCA: 124] [Impact Index Per Article: 41.3] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Revised: 06/13/2020] [Accepted: 07/13/2020] [Indexed: 11/14/2022] Open
Abstract
Traditional epitranscriptomics relies on capturing a single RNA modification by antibody or chemical treatment, combined with short-read sequencing to identify its transcriptomic location. This approach is labor-intensive and may introduce experimental artifacts. Direct sequencing of native RNA using Oxford Nanopore Technologies (ONT) can allow for directly detecting the RNA base modifications, although these modifications might appear as sequencing errors. The percent Error of Specific Bases (%ESB) was higher for native RNA than unmodified RNA, which enabled the detection of ribonucleotide modification sites. Based on the %ESB differences, we developed a bioinformatic tool, epitranscriptional landscape inferring from glitches of ONT signals (ELIGOS), that is based on various types of synthetic modified RNA and applied to rRNA and mRNA. ELIGOS is able to accurately predict known classes of RNA methylation sites (AUC > 0.93) in rRNAs from Escherichiacoli, yeast, and human cells, using either unmodified in vitro transcription RNA or a background error model, which mimics the systematic error of direct RNA sequencing as the reference. The well-known DRACH/RRACH motif was localized and identified, consistent with previous studies, using differential analysis of ELIGOS to study the impact of RNA m6A methyltransferase by comparing wild type and knockouts in yeast and mouse cells. Lastly, the DRACH motif could also be identified in the mRNA of three human cell lines. The mRNA modification identified by ELIGOS is at the level of individual base resolution. In summary, we have developed a bioinformatic software package to uncover native RNA modifications.
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Affiliation(s)
- Piroon Jenjaroenpun
- Department of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
| | - Thidathip Wongsurawat
- Department of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
| | - Taylor D Wadley
- Department of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
| | - Trudy M Wassenaar
- Molecular Microbiology and Genomics Consultants, Zotzenheim, Germany
| | - Jun Liu
- Department of Chemistry, Department of Biochemistry and Molecular Biology, Howard Hughes Medical Institute, The University of Chicago, Chicago, IL 60637, USA
| | - Qing Dai
- Department of Chemistry, Department of Biochemistry and Molecular Biology, Howard Hughes Medical Institute, The University of Chicago, Chicago, IL 60637, USA
| | - Visanu Wanchai
- Department of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
| | - Nisreen S Akel
- Department of Physiology and Biophysics, College of Medicine, The University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
| | - Azemat Jamshidi-Parsian
- Department of Radiation Oncology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
| | - Aime T Franco
- Department of Physiology and Biophysics, College of Medicine, The University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
| | - Gunnar Boysen
- Department of Environmental and Occupational Health, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
| | - Michael L Jennings
- Department of Physiology and Biophysics, College of Medicine, The University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
| | - David W Ussery
- Department of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
| | - Chuan He
- Department of Chemistry, Department of Biochemistry and Molecular Biology, Howard Hughes Medical Institute, The University of Chicago, Chicago, IL 60637, USA
| | - Intawat Nookaew
- Department of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.,Department of Physiology and Biophysics, College of Medicine, The University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
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27
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Jenjaroenpun P, Wongsurawat T, Wadley TD, Wassenaar TM, Liu J, Dai Q, Wanchai V, Akel NS, Jamshidi-Parsian A, Franco AT, Boysen G, Jennings ML, Ussery DW, He C, Nookaew I. Decoding the epitranscriptional landscape from native RNA sequences. Nucleic Acids Res 2021; 49:e7. [PMID: 32710622 DOI: 10.1101/487819] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Revised: 06/13/2020] [Accepted: 07/13/2020] [Indexed: 05/25/2023] Open
Abstract
Traditional epitranscriptomics relies on capturing a single RNA modification by antibody or chemical treatment, combined with short-read sequencing to identify its transcriptomic location. This approach is labor-intensive and may introduce experimental artifacts. Direct sequencing of native RNA using Oxford Nanopore Technologies (ONT) can allow for directly detecting the RNA base modifications, although these modifications might appear as sequencing errors. The percent Error of Specific Bases (%ESB) was higher for native RNA than unmodified RNA, which enabled the detection of ribonucleotide modification sites. Based on the %ESB differences, we developed a bioinformatic tool, epitranscriptional landscape inferring from glitches of ONT signals (ELIGOS), that is based on various types of synthetic modified RNA and applied to rRNA and mRNA. ELIGOS is able to accurately predict known classes of RNA methylation sites (AUC > 0.93) in rRNAs from Escherichiacoli, yeast, and human cells, using either unmodified in vitro transcription RNA or a background error model, which mimics the systematic error of direct RNA sequencing as the reference. The well-known DRACH/RRACH motif was localized and identified, consistent with previous studies, using differential analysis of ELIGOS to study the impact of RNA m6A methyltransferase by comparing wild type and knockouts in yeast and mouse cells. Lastly, the DRACH motif could also be identified in the mRNA of three human cell lines. The mRNA modification identified by ELIGOS is at the level of individual base resolution. In summary, we have developed a bioinformatic software package to uncover native RNA modifications.
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Affiliation(s)
- Piroon Jenjaroenpun
- Department of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
| | - Thidathip Wongsurawat
- Department of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
| | - Taylor D Wadley
- Department of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
| | - Trudy M Wassenaar
- Molecular Microbiology and Genomics Consultants, Zotzenheim, Germany
| | - Jun Liu
- Department of Chemistry, Department of Biochemistry and Molecular Biology, Howard Hughes Medical Institute, The University of Chicago, Chicago, IL 60637, USA
| | - Qing Dai
- Department of Chemistry, Department of Biochemistry and Molecular Biology, Howard Hughes Medical Institute, The University of Chicago, Chicago, IL 60637, USA
| | - Visanu Wanchai
- Department of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
| | - Nisreen S Akel
- Department of Physiology and Biophysics, College of Medicine, The University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
| | - Azemat Jamshidi-Parsian
- Department of Radiation Oncology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
| | - Aime T Franco
- Department of Physiology and Biophysics, College of Medicine, The University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
| | - Gunnar Boysen
- Department of Environmental and Occupational Health, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
| | - Michael L Jennings
- Department of Physiology and Biophysics, College of Medicine, The University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
| | - David W Ussery
- Department of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
| | - Chuan He
- Department of Chemistry, Department of Biochemistry and Molecular Biology, Howard Hughes Medical Institute, The University of Chicago, Chicago, IL 60637, USA
| | - Intawat Nookaew
- Department of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
- Department of Physiology and Biophysics, College of Medicine, The University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
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Taylor MK, Williams EP, Wongsurawat T, Jenjaroenpun P, Nookaew I, Jonsson CB. Amplicon-Based, Next-Generation Sequencing Approaches to Characterize Single Nucleotide Polymorphisms of Orthohantavirus Species. Front Cell Infect Microbiol 2020; 10:565591. [PMID: 33163416 PMCID: PMC7591466 DOI: 10.3389/fcimb.2020.565591] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2020] [Accepted: 09/08/2020] [Indexed: 12/26/2022] Open
Abstract
Whole-genome sequencing (WGS) of viruses from patient or environmental samples can provide tremendous insight into the epidemiology, drug resistance or evolution of a virus. However, we face two common hurdles in obtaining robust sequence information; the low copy number of viral genomes in specimens and the error introduced by WGS techniques. To optimize detection and minimize error in WGS of hantaviruses, we tested four amplification approaches and different amplicon pooling methods for library preparation and examined these preparations using two sequencing platforms, Illumina MiSeq and Oxford Nanopore Technologies MinION. First, we tested and optimized primers used for whole segment PCR or one kilobase amplicon amplification for even coverage using RNA isolated from the supernatant of virus-infected cells. Once optimized we assessed two sources of total RNA, virus-infected cells and supernatant from the virus-infected cells, with four variations of primer pooling for amplicons, and six different amplification approaches. We show that 99–100% genome coverage was obtained using a one-step RT-PCR reaction with one forward and reverse primer. Using a two-step RT-PCR with three distinct tiling approaches for the three genomic segments (vRNAs), we optimized primer pooling approaches for PCR amplification to achieve a greater number of aligned reads, average depth of genome, and genome coverage. The single nucleotide polymorphisms identified from MiSeq and MinION sequencing suggested intrinsic mutation frequencies of ~10−5-10−7 per genome and 10−4-10−5 per genome, respectively. We noted no difference in the coverage or accuracy when comparing WGS results with amplicons amplified from RNA extracted from infected cells or supernatant of these infected cells. Our results show that high-throughput diagnostics requiring the identification of hantavirus species or strains can be performed using MiSeq or MinION using a one-step approach. However, the two-step MiSeq approach outperformed the MinION in coverage depth and accuracy, and hence would be superior for assessment of genomes for epidemiology or evolutionary questions using the methods developed herein.
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Affiliation(s)
- Mariah K Taylor
- Department of Microbiology, Immunology and Biochemistry, The University of Tennessee Health Science Center, Memphis, TN, United States
| | - Evan P Williams
- Department of Microbiology, Immunology and Biochemistry, The University of Tennessee Health Science Center, Memphis, TN, United States
| | - Thidathip Wongsurawat
- Department of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, United States
| | - Piroon Jenjaroenpun
- Department of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, United States
| | - Intawat Nookaew
- Department of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, United States
| | - Colleen B Jonsson
- Department of Microbiology, Immunology and Biochemistry, The University of Tennessee Health Science Center, Memphis, TN, United States
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Tan S, Dvorak CMT, Murtaugh MP. Characterization of Emerging Swine Viral Diseases through Oxford Nanopore Sequencing Using Senecavirus A as a Model. Viruses 2020; 12:v12101136. [PMID: 33036361 PMCID: PMC7600144 DOI: 10.3390/v12101136] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Revised: 09/30/2020] [Accepted: 10/02/2020] [Indexed: 12/18/2022] Open
Abstract
Emerging viral infectious diseases present a major threat to the global swine industry. Since 2015, Senecavirus A (SVA) has been identified as a cause of vesicular disease in different countries and is considered an emerging disease. Despite the growing concern about SVA, there is a lack of preventive and diagnostic strategies, which is also a problem for all emerging infectious diseases. Using SVA as a model, we demonstrated that Oxford Nanopore MinION sequencing could be used as a robust tool for the investigation and surveillance of emerging viral diseases. Our results identified that MinION sequencing allowed for rapid, unbiased pathogen detection at the species and strain level for clinical cases. SVA whole genome sequences were generated using both direct RNA sequencing and PCR-cDNA sequencing methods, with an optimized consensus accuracy of 94% and 99%, respectively. The advantages of direct RNA sequencing lie in its shorter turnaround time, higher analytical sensitivity and its quantitative relationship between input RNA and output sequencing reads, while PCR-cDNA sequencing excelled at creating highly accurate sequences. This study developed whole genome sequencing methods to facilitate the control of SVA and provide a reference for the timely detection and prevention of other emerging infectious diseases.
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30
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Gagnon CA, Lalonde C, Provost C. Porcine reproductive and respiratory syndrome virus whole-genome sequencing efficacy with field clinical samples using a poly(A)-tail viral genome purification method. J Vet Diagn Invest 2020; 33:216-226. [PMID: 32856560 DOI: 10.1177/1040638720952411] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
The genomic surveillance of porcine reproductive and respiratory syndrome virus (PRRSV) is based on sequencing of the ORF5 gene of the virus, which covers only 4% of the entire viral genome. It is expected that PRRSV whole-genome sequencing (WGS) will improve PRRSV genomic data and allow better understanding of clinical discrepancies observed in the field when using ORF5 sequencing. Our main objective was to implement an efficient method for WGS of PRRSV from clinical samples. The viral genome was purified using a poly(A)-tail viral genome purification method and sequenced using Illumina technology. We tested 149 PRRSV-positive samples: 80 sera, 33 lungs, 33 pools of tissues, 2 oral fluids, and 1 processing fluid (i.e., castration liquid). Overall, WGS of 67.1% of PRRSV-positive cases was successful. The viral load, in particular for tissues, had a major impact on the PRRSV WGS success rate. Serum was the most efficient type of sample to conduct PRRSV WGS poly(A)-tail assays, with a success rate of 76.3%, and this result can be explained by improved sequencing reads dispersion matching throughout the entire viral genome. WGS was unsuccessful for all pools of tissue and lung samples with Cq values > 26.5, whereas it could still be successful with sera at Cq ≤ 34.1. Evaluation of results of highly qualified personnel confirmed that laboratory skills could affect PRRSV WGS efficiency. Oral fluid samples seem very promising and merit further investigation because, with only 2 samples of low viral load (Cq = 28.8, 32.8), PRRSV WGS was successful.
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Affiliation(s)
- Carl A Gagnon
- Swine and Poultry Infectious Diseases Research Center and Molecular Diagnostic Laboratory of the Service de diagnostic, Faculté de médecine vétérinaire, Université de Montréal, St-Hyacinthe, Québec, Canada
| | - Christian Lalonde
- Swine and Poultry Infectious Diseases Research Center, Faculté de médecine vétérinaire, Université de Montréal, St-Hyacinthe, Québec, Canada
| | - Chantale Provost
- Swine and Poultry Infectious Diseases Research Center and Molecular Diagnostic Laboratory of the Service de diagnostic, Faculté de médecine vétérinaire, Université de Montréal, St-Hyacinthe, Québec, Canada
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31
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Grädel C, Terrazos Miani MA, Baumann C, Barbani MT, Neuenschwander S, Leib SL, Suter-Riniker F, Ramette A. Whole-Genome Sequencing of Human Enteroviruses from Clinical Samples by Nanopore Direct RNA Sequencing. Viruses 2020; 12:v12080841. [PMID: 32752120 PMCID: PMC7472277 DOI: 10.3390/v12080841] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Revised: 07/28/2020] [Accepted: 07/29/2020] [Indexed: 12/14/2022] Open
Abstract
Enteroviruses are small RNA viruses that affect millions of people each year by causing an important burden of disease with a broad spectrum of symptoms. In routine diagnostic laboratories, enteroviruses are identified by PCR-based methods, often combined with partial sequencing for genotyping. In this proof-of-principle study, we assessed direct RNA sequencing (DRS) using nanopore sequencing technology for fast whole-genome sequencing of viruses directly from clinical samples. The approach was complemented by sequencing the corresponding viral cDNA via Illumina MiSeq sequencing. DRS of total RNA extracted from three different enterovirus-positive stool samples produced long RNA fragments, covering between 59% and 99.6% of the most similar reference genome sequences. The identification of the enterovirus sequences in the samples was confirmed by short-read cDNA sequencing. Sequence identity between DRS and Illumina MiSeq enterovirus consensus sequences ranged between 94% and 97%. Here, we show that nanopore DRS can be used to correctly identify enterovirus genotypes from patient stool samples with high viral load and that the approach also provides rich metatranscriptomic information on sample composition for all life domains.
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Affiliation(s)
- Carole Grädel
- Institute for Infectious Diseases, University of Bern, 3001 Bern, Switzerland; (C.G.); (M.A.T.M.); (C.B.); (M.T.B.); (S.N.); (S.L.L.); (F.S.-R.)
- Graduate School for Cellular and Biomedical Sciences, University of Bern, 3012 Bern, Switzerland
| | - Miguel A. Terrazos Miani
- Institute for Infectious Diseases, University of Bern, 3001 Bern, Switzerland; (C.G.); (M.A.T.M.); (C.B.); (M.T.B.); (S.N.); (S.L.L.); (F.S.-R.)
| | - Christian Baumann
- Institute for Infectious Diseases, University of Bern, 3001 Bern, Switzerland; (C.G.); (M.A.T.M.); (C.B.); (M.T.B.); (S.N.); (S.L.L.); (F.S.-R.)
| | - Maria Teresa Barbani
- Institute for Infectious Diseases, University of Bern, 3001 Bern, Switzerland; (C.G.); (M.A.T.M.); (C.B.); (M.T.B.); (S.N.); (S.L.L.); (F.S.-R.)
| | - Stefan Neuenschwander
- Institute for Infectious Diseases, University of Bern, 3001 Bern, Switzerland; (C.G.); (M.A.T.M.); (C.B.); (M.T.B.); (S.N.); (S.L.L.); (F.S.-R.)
| | - Stephen L. Leib
- Institute for Infectious Diseases, University of Bern, 3001 Bern, Switzerland; (C.G.); (M.A.T.M.); (C.B.); (M.T.B.); (S.N.); (S.L.L.); (F.S.-R.)
| | - Franziska Suter-Riniker
- Institute for Infectious Diseases, University of Bern, 3001 Bern, Switzerland; (C.G.); (M.A.T.M.); (C.B.); (M.T.B.); (S.N.); (S.L.L.); (F.S.-R.)
| | - Alban Ramette
- Institute for Infectious Diseases, University of Bern, 3001 Bern, Switzerland; (C.G.); (M.A.T.M.); (C.B.); (M.T.B.); (S.N.); (S.L.L.); (F.S.-R.)
- Correspondence: ; Tel.: +41-31-632-9540
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Rosales-Munar A, Alvarez-Diaz DA, Laiton-Donato K, Peláez-Carvajal D, Usme-Ciro JA. Efficient Method for Molecular Characterization of the 5' and 3' Ends of the Dengue Virus Genome. Viruses 2020; 12:v12050496. [PMID: 32365696 PMCID: PMC7290889 DOI: 10.3390/v12050496] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2020] [Revised: 03/27/2020] [Accepted: 04/01/2020] [Indexed: 11/16/2022] Open
Abstract
Dengue is a mosquito-borne disease that is of major importance in public health. Although it has been extensively studied at the molecular level, sequencing of the 5′ and 3′ ends of the untranslated regions (UTR) commonly requires specific approaches for completion and corroboration. The present study aimed to characterize the 5′ and 3′ ends of dengue virus types 1 to 4. The 5′ and 3′ ends of twenty-nine dengue virus isolates from acute infections were amplified through a modified protocol of the rapid amplification cDNA ends approach. For the 5′ end cDNA synthesis, specific anti-sense primers for each serotype were used, followed by polyadenylation of the cDNA using a terminal transferase and subsequent PCR amplification with oligo(dT) and internal specific reverse primer. At the 3′ end of the positive-sense viral RNA, an adenine tail was directly synthetized using an Escherichia coli poly(A) polymerase, allowing subsequent hybridization of the oligo(dT) during cDNA synthesis. The incorporation of the poly(A) tail at the 5′ and 3′ ends of the dengue virus cDNA and RNA, respectively, allowed for successful primer hybridization, PCR amplification and direct sequencing. This approach can be used for completing dengue virus genomes obtained through direct and next-generation sequencing methods.
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Affiliation(s)
- Alicia Rosales-Munar
- Sequencing and Genomics Unit, Virology Laboratory, Dirección de Redes en Salud Pública, Instituto Nacional de Salud, Bogotá 111321, Colombia; (A.R.-M.); (D.A.A.-D.); (K.L.-D.); (D.P.-C.)
| | - Diego Alejandro Alvarez-Diaz
- Sequencing and Genomics Unit, Virology Laboratory, Dirección de Redes en Salud Pública, Instituto Nacional de Salud, Bogotá 111321, Colombia; (A.R.-M.); (D.A.A.-D.); (K.L.-D.); (D.P.-C.)
| | - Katherine Laiton-Donato
- Sequencing and Genomics Unit, Virology Laboratory, Dirección de Redes en Salud Pública, Instituto Nacional de Salud, Bogotá 111321, Colombia; (A.R.-M.); (D.A.A.-D.); (K.L.-D.); (D.P.-C.)
| | - Dioselina Peláez-Carvajal
- Sequencing and Genomics Unit, Virology Laboratory, Dirección de Redes en Salud Pública, Instituto Nacional de Salud, Bogotá 111321, Colombia; (A.R.-M.); (D.A.A.-D.); (K.L.-D.); (D.P.-C.)
| | - Jose A. Usme-Ciro
- Sequencing and Genomics Unit, Virology Laboratory, Dirección de Redes en Salud Pública, Instituto Nacional de Salud, Bogotá 111321, Colombia; (A.R.-M.); (D.A.A.-D.); (K.L.-D.); (D.P.-C.)
- Centro de Investigación en Salud para el Trópico-CIST, Facultad de Medicina, Universidad Cooperativa de Colombia, Santa Marta 470003, Colombia
- Correspondence: ; Tel.: +57-314-628-9435
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Ramírez-Carreto S, Miranda-Zaragoza B, Rodríguez-Almazán C. Actinoporins: From the Structure and Function to the Generation of Biotechnological and Therapeutic Tools. Biomolecules 2020; 10:E539. [PMID: 32252469 PMCID: PMC7226409 DOI: 10.3390/biom10040539] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2020] [Revised: 03/19/2020] [Accepted: 03/21/2020] [Indexed: 12/22/2022] Open
Abstract
Actinoporins (APs) are a family of pore-forming toxins (PFTs) from sea anemones. These biomolecules exhibit the ability to exist as soluble monomers within an aqueous medium or as constitutively open oligomers in biological membranes. Through their conformational plasticity, actinoporins are considered good candidate molecules to be included for the rational design of molecular tools, such as immunotoxins directed against tumor cells and stochastic biosensors based on nanopores to analyze unique DNA or protein molecules. Additionally, the ability of these proteins to bind to sphingomyelin (SM) facilitates their use for the design of molecular probes to identify SM in the cells. The immunomodulatory activity of actinoporins in liposomal formulations for vaccine development has also been evaluated. In this review, we describe the potential of actinoporins for use in the development of molecular tools that could be used for possible medical and biotechnological applications.
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Affiliation(s)
| | | | - Claudia Rodríguez-Almazán
- Departamento de Medicina Molecular y Bioprocesos, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Avenida Universidad 2001, Cuernavaca, Morelos 62210, Mexico; (S.R.-C.); (B.M.-Z.)
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34
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Cleveland MH, Anekella B, Brewer M, Chin PJ, Couch H, Delwart E, Huggett J, Jackson S, Martin J, Monpoeho S, Morrison T, Ng SHS, Ussery D, Khan AS. Report of the 2019 NIST-FDA workshop on standards for next generation sequencing detection of viral adventitious agents in biologics and biomanufacturing. Biologicals 2020; 64:76-82. [PMID: 32094072 PMCID: PMC9987593 DOI: 10.1016/j.biologicals.2020.02.003] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2020] [Accepted: 02/13/2020] [Indexed: 02/06/2023] Open
Abstract
Adventitious virus testing assures product safety by demonstrating the absence of viruses that could be unintentionally introduced during the manufacturing process. The capabilities of next-generation sequencing (NGS) for broad virus detection in biologics have been demonstrated by the detection of known and novel viruses that were previously missed using the recommended routine assays for adventitious agent testing. A meeting was co-organized by the National Institute of Standards and Technology and the U.S. Food and Drug Administration on September 18-19, 2019 in Gaithersburg, Maryland, USA, to facilitate standardization of NGS technologies for applications of adventitious virus testing in biologics. The goal was to assess the currently used standards for virus detection by NGS and their public availability, and to identify additional needs for different types of reference materials and standards (natural and synthetic). The meeting focused on the NGS processes from sample preparation through sequencing but did not thoroughly cover bioinformatics, since this was considered to be the topic of a separate meeting.
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Affiliation(s)
- Megan H Cleveland
- National Institute of Standards and Technology, 100 Bureau Dr, Gaithersburg, MD, 20899, USA
| | - Bharathi Anekella
- LGC-Clinical Diagnostic Business Unit, 910 Clopper Road, Gaithersburg, MD, 20878, USA
| | - Michael Brewer
- Thermo Fisher Scientific, 35 Wiggins Ave, Bedford, MA, 01730, USA
| | - Pei-Ju Chin
- Center for Biologics Research and Evaluation, U.S. Food and Drug Administration, 10903 New Hampshire Ave, Silver Spring, MD, 20993, USA
| | - Heather Couch
- American Type Culture Collection, 10801 University Boulevard, Manassas, VA, 20110, USA
| | - Eric Delwart
- Vitalant Research Institute, 270 Masonic Ave, San Francisco, CA, 94118, USA
| | - Jim Huggett
- National Measurement Laboratory at LGC, Queens Road, Teddington, TW11 0LY, UK; School of Biosciences & Medicine, Faculty of Health & Medical Sciences, University of Surrey, Guildford, Surrey, GU2 7XH, UK
| | - Scott Jackson
- National Institute of Standards and Technology, 100 Bureau Dr, Gaithersburg, MD, 20899, USA
| | - Javier Martin
- National Institute for Biological Standards and Control, Blanche Ln, South Mimms, Potters Bar, EN6 3QG, UK
| | - Serge Monpoeho
- Regeneron Pharmaceuticals, 81 Columbia Turnpike, Rensselaer, NY, 12144, USA
| | - Tom Morrison
- AccuGenomics, 1410 Commonwealth Dr. Ste. 105, Wilmington, NC, 28403, USA
| | - Siemon H S Ng
- Analytical Sciences, Sanofi Pasteur, Analytical Research and Development, 1755, Steeles Avenue West, M2R 3T4, Toronto, Ontario, Canada
| | - David Ussery
- Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, 72205, USA
| | - Arifa S Khan
- Center for Biologics Research and Evaluation, U.S. Food and Drug Administration, 10903 New Hampshire Ave, Silver Spring, MD, 20993, USA.
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Bharti R, Grimm DG. Current challenges and best-practice protocols for microbiome analysis. Brief Bioinform 2019; 22:178-193. [PMID: 31848574 PMCID: PMC7820839 DOI: 10.1093/bib/bbz155] [Citation(s) in RCA: 215] [Impact Index Per Article: 43.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2019] [Revised: 10/23/2019] [Accepted: 11/06/2019] [Indexed: 12/15/2022] Open
Abstract
Analyzing the microbiome of diverse species and environments using next-generation sequencing techniques has significantly enhanced our understanding on metabolic, physiological and ecological roles of environmental microorganisms. However, the analysis of the microbiome is affected by experimental conditions (e.g. sequencing errors and genomic repeats) and computationally intensive and cumbersome downstream analysis (e.g. quality control, assembly, binning and statistical analyses). Moreover, the introduction of new sequencing technologies and protocols led to a flood of new methodologies, which also have an immediate effect on the results of the analyses. The aim of this work is to review the most important workflows for 16S rRNA sequencing and shotgun and long-read metagenomics, as well as to provide best-practice protocols on experimental design, sample processing, sequencing, assembly, binning, annotation and visualization. To simplify and standardize the computational analysis, we provide a set of best-practice workflows for 16S rRNA and metagenomic sequencing data (available at https://github.com/grimmlab/MicrobiomeBestPracticeReview).
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Affiliation(s)
- Richa Bharti
- Weihenstephan-Triesdorf University of Applied Sciences and Technical University of Munich, TUM Campus Straubing for Biotechnology and Sustainability, Straubing, Germany
| | - Dominik G Grimm
- Weihenstephan-Triesdorf University of Applied Sciences and Technical University of Munich, TUM Campus Straubing for Biotechnology and Sustainability, Straubing, Germany
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Cao Y, Li J, Chu X, Liu H, Liu W, Liu D. Nanopore sequencing: a rapid solution for infectious disease epidemics. SCIENCE CHINA. LIFE SCIENCES 2019; 62:1101-1103. [PMID: 31372817 PMCID: PMC7089317 DOI: 10.1007/s11427-019-9596-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 06/17/2019] [Accepted: 07/13/2019] [Indexed: 11/29/2022]
Affiliation(s)
- Ying Cao
- Center for Emerging Infectious Diseases, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, 430071, China
- Research Group of Computer Virology, Center for Bacteria and Virus Resources and Application, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, 430071, China
| | - Jing Li
- Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Xin Chu
- Bureau of Major R&D Programs, Chinese Academy of Sciences, Beijing, 100864, China
| | - Haizhou Liu
- Center for Emerging Infectious Diseases, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, 430071, China
- Research Group of Computer Virology, Center for Bacteria and Virus Resources and Application, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, 430071, China
| | - Wenjun Liu
- Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Di Liu
- Center for Emerging Infectious Diseases, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, 430071, China.
- Research Group of Computer Virology, Center for Bacteria and Virus Resources and Application, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, 430071, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
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Tan CCS, Maurer-Stroh S, Wan Y, Sessions OM, de Sessions PF. A novel method for the capture-based purification of whole viral native RNA genomes. AMB Express 2019; 9:45. [PMID: 30963294 PMCID: PMC6453989 DOI: 10.1186/s13568-019-0772-y] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2019] [Accepted: 04/02/2019] [Indexed: 01/06/2023] Open
Abstract
Current technologies for targeted characterization and manipulation of viral RNA primarily involve amplification or ultracentrifugation with isopycnic gradients of viral particles to decrease host RNA background. The former strategy is non-compatible for characterizing properties innate to RNA strands such as secondary structure, RNA-RNA interactions, and also for nanopore direct RNA sequencing involving the sequencing of native RNA strands. The latter strategy, ultracentrifugation, causes loss in genomic information due to its inability to retrieve unassembled viral RNA. To address this, we developed a novel application of current nucleic acid hybridization technologies for direct characterization of RNA. In particular, we modified a current enrichment protocol to capture whole viral native RNA genomes for downstream RNA assays to circumvent the abovementioned problems. This technique involves hybridization of biotinylated baits at 500 nucleotides (nt) intervals, stringent washes and release of free native RNA strands using DNase I treatment, with a turnaround time of about 6 h 15 min. RT-qPCR was used as the primary proof of concept that capture-based purification indeed removes host background. Subsequently, capture-based purification was applied to direct RNA sequencing as proof of concept that capture-based purification can be coupled with downstream RNA assays. We report that this protocol was able to successfully purify viral RNA by 561- to 791-fold. We also report that application of this protocol to direct RNA sequencing yielded a reduction in human host RNA background by 1580-fold, a 99.91% recovery of viral genome with at least 15× coverage, and a mean coverage across the genome of 120×. This report is, to the best of our knowledge, the first description of a capture-based purification method for assays that involve direct manipulation or characterisation of native RNA. This report also describes a successful application of capture-based purification as a direct RNA sequencing strategy that addresses certain limitations of current strategies in sequencing RNA viral genomes.
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Affiliation(s)
- Cedric Chih Shen Tan
- Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- A*STAR Graduate Academy, Singapore, Singapore
- University College London, London, UK
| | | | - Yue Wan
- Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | | | - Paola Florez de Sessions
- Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
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