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Halldorsson S, Nagymihaly RM, Patel A, Brandal P, Panagopoulos I, Leske H, Lund-Iversen M, Sahm F, Vik-Mo EO. Accurate and comprehensive evaluation of O6-methylguanine-DNA methyltransferase promoter methylation by nanopore sequencing. Neuropathol Appl Neurobiol 2024; 50:e12984. [PMID: 38783575 DOI: 10.1111/nan.12984] [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: 01/11/2024] [Revised: 04/30/2024] [Accepted: 05/03/2024] [Indexed: 05/25/2024]
Abstract
AIMS The methylation status of the O6-methylguanine-DNA methyltransferase (MGMT) promoter region is essential in evaluating the prognosis and predicting the drug response in patients with glioblastoma. In this study, we evaluated the utility of using nanopore long-read sequencing as a method for assessing methylation levels throughout the MGMT CpG-island, compared its performance to established techniques and demonstrated its clinical applicability. METHODS We analysed 165 samples from CNS tumours, focusing on the MGMT CpG-island using nanopore sequencing. Oxford Nanopore Technologies (ONT) MinION and PromethION flow cells were employed for single sample or barcoded assays, guided by a CRISPR/Cas9 protocol, adaptive sampling or as part of a whole genome sequencing assay. Methylation data obtained through nanopore sequencing were compared to results obtained via pyrosequencing and methylation bead arrays. Hierarchical clustering was applied to nanopore sequencing data for patient stratification. RESULTS Nanopore sequencing displayed a strong correlation (R2 = 0.91) with pyrosequencing results for the four CpGs of MGMT analysed by both methods. The MGMT-STP27 algorithm's classification was effectively reproduced using nanopore data. Unsupervised hierarchical clustering revealed distinct patterns in methylated and unmethylated samples, providing comparable survival prediction capabilities. Nanopore sequencing yielded high-confidence results in a rapid timeframe, typically within hours of sequencing, and extended the analysis to all 98 CpGs of the MGMT CpG-island. CONCLUSIONS This study presents nanopore sequencing as a valid and efficient method for determining MGMT promotor methylation status. It offers a comprehensive view of the MGMT promoter methylation landscape, which enables the identification of potentially clinically relevant subgroups of patients. Further exploration of the clinical implications of patient stratification using nanopore sequencing of MGMT is warranted.
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Affiliation(s)
- Skarphedinn Halldorsson
- Vilhelm Magnus Laboratory, Institute for Surgical Research, Department of Neurosurgery, Oslo University Hospital, Oslo, Norway
| | - Richard Mark Nagymihaly
- Vilhelm Magnus Laboratory, Institute for Surgical Research, Department of Neurosurgery, Oslo University Hospital, Oslo, Norway
| | - Areeba Patel
- Department of Neuropathology, University Hospital Heidelberg, Heidelberg, Germany
- CCU Neuropathology, German Consortium for Translational Cancer Research (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Petter Brandal
- Section for Cancer Cytogenetics, Institute for Cancer Genetics and Informatics, Oslo University Hospital, Oslo, Norway
- Department of Oncology, Oslo University Hospital, Oslo, Norway
| | - Ioannis Panagopoulos
- Section for Cancer Cytogenetics, Institute for Cancer Genetics and Informatics, Oslo University Hospital, Oslo, Norway
| | - Henning Leske
- Department of Pathology, Oslo University Hospital, Oslo, Norway
- University of Oslo, Oslo, Norway
| | | | - Felix Sahm
- Department of Neuropathology, University Hospital Heidelberg, Heidelberg, Germany
- CCU Neuropathology, German Consortium for Translational Cancer Research (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Einar O Vik-Mo
- Vilhelm Magnus Laboratory, Institute for Surgical Research, Department of Neurosurgery, Oslo University Hospital, Oslo, Norway
- Institute for Clinical Medicine, University of Oslo, Oslo, Norway
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Sun K, Fu K, Hu T, Shentu X, Yu X. Leveraging insect viruses and genetic manipulation for sustainable agricultural pest control. PEST MANAGEMENT SCIENCE 2024; 80:2515-2527. [PMID: 37948321 DOI: 10.1002/ps.7878] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 10/16/2023] [Accepted: 11/11/2023] [Indexed: 11/12/2023]
Abstract
The potential of insect viruses in the biological control of agricultural pests is well-recognized, yet their practical application faces obstacles such as host specificity, variable virulence, and resource scarcity. High-throughput sequencing (HTS) technologies have significantly advanced our capabilities in discovering and identifying new insect viruses, thereby enriching the arsenal for pest management. Concurrently, progress in reverse genetics has facilitated the development of versatile viral expression vectors. These vectors have enhanced the specificity and effectiveness of insect viruses in targeting specific pests, offering a more precise approach to pest control. This review provides a comprehensive examination of the methodologies employed in the identification of insect viruses using HTS. Additionally, it explores the domain of genetically modified insect viruses and their associated challenges in pest management. The adoption of these cutting-edge approaches holds great promise for developing environmentally sustainable and effective pest control solutions. © 2023 Society of Chemical Industry.
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Affiliation(s)
- Kai Sun
- Zhejiang Provincial Key Laboratory of Biometrology and Inspection & Quarantine, College of Life Sciences, China Jiliang University, Hangzhou, China
| | - Kang Fu
- Zhejiang Provincial Key Laboratory of Biometrology and Inspection & Quarantine, College of Life Sciences, China Jiliang University, Hangzhou, China
| | - Tao Hu
- Zhejinag Seed Industry Group Xinchuang Bio-breeding Co., Ltd., Hangzhou, China
| | - Xuping Shentu
- Zhejiang Provincial Key Laboratory of Biometrology and Inspection & Quarantine, College of Life Sciences, China Jiliang University, Hangzhou, China
| | - Xiaoping Yu
- Zhejiang Provincial Key Laboratory of Biometrology and Inspection & Quarantine, College of Life Sciences, China Jiliang University, Hangzhou, China
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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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4
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Sorbini M, Carradori T, Togliatto GM, Vaisitti T, Deaglio S. Technical Advances in Circulating Cell-Free DNA Detection and Analysis for Personalized Medicine in Patients' Care. Biomolecules 2024; 14:498. [PMID: 38672514 PMCID: PMC11048502 DOI: 10.3390/biom14040498] [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: 03/24/2024] [Revised: 04/13/2024] [Accepted: 04/17/2024] [Indexed: 04/28/2024] Open
Abstract
Circulating cell-free DNA (cfDNA) refers to small fragments of DNA molecules released after programmed cell death and necrosis in several body fluids such as blood, saliva, urine, and cerebrospinal fluid. The discovery of cfDNA has revolutionized the field of non-invasive diagnostics in the oncologic field, in prenatal testing, and in organ transplantation. Despite the potential of cfDNA and the solid results published in the recent literature, several challenges remain, represented by a low abundance, a need for highly sensitive assays, and analytical issues. In this review, the main technical advances in cfDNA analysis are presented and discussed, with a comprehensive examination of the current available methodologies applied in each field. Considering the potential advantages of cfDNA, this biomarker is increasing its consensus among clinicians, as it allows us to monitor patients' conditions in an easy and non-invasive way, offering a more personalized care. Nevertheless, cfDNA analysis is still considered a diagnostic marker to be further validated, and very few centers are implementing its analysis in routine diagnostics. As technical improvements are enhancing the performances of cfDNA analysis, its application will transversally improve patients' quality of life.
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Affiliation(s)
- Monica Sorbini
- Department of Medical Sciences, University of Turin, 10126 Turin, Italy; (T.C.); (T.V.); (S.D.)
| | - Tullia Carradori
- Department of Medical Sciences, University of Turin, 10126 Turin, Italy; (T.C.); (T.V.); (S.D.)
| | - Gabriele Maria Togliatto
- Immunogenetics and Transplant Biology Service, Città della Salute e della Scienza, 10126 Turin, Italy;
| | - Tiziana Vaisitti
- Department of Medical Sciences, University of Turin, 10126 Turin, Italy; (T.C.); (T.V.); (S.D.)
- Immunogenetics and Transplant Biology Service, Città della Salute e della Scienza, 10126 Turin, Italy;
| | - Silvia Deaglio
- Department of Medical Sciences, University of Turin, 10126 Turin, Italy; (T.C.); (T.V.); (S.D.)
- Immunogenetics and Transplant Biology Service, Città della Salute e della Scienza, 10126 Turin, Italy;
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5
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Xie L, Gong X, Yang K, Huang Y, Zhang S, Shen L, Sun Y, Wu D, Ye C, Zhu QH, Fan L. Technology-enabled great leap in deciphering plant genomes. NATURE PLANTS 2024; 10:551-566. [PMID: 38509222 DOI: 10.1038/s41477-024-01655-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Accepted: 02/20/2024] [Indexed: 03/22/2024]
Abstract
Plant genomes provide essential and vital basic resources for studying many aspects of plant biology and applications (for example, breeding). From 2000 to 2020, 1,144 genomes of 782 plant species were sequenced. In the past three years (2021-2023), 2,373 genomes of 1,031 plant species, including 793 newly sequenced species, have been assembled, representing a great leap. The 2,373 newly assembled genomes, of which 63 are telomere-to-telomere assemblies and 921 have been generated in pan-genome projects, cover the major phylogenetic clades. Substantial advances in read length, throughput, accuracy and cost-effectiveness have notably simplified the achievement of high-quality assemblies. Moreover, the development of multiple software tools using different algorithms offers the opportunity to generate more complete and complex assemblies. A database named N3: plants, genomes, technologies has been developed to accommodate the metadata associated with the 3,517 genomes that have been sequenced from 1,575 plant species since 2000. We also provide an outlook for emerging opportunities in plant genome sequencing.
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Affiliation(s)
- Lingjuan Xie
- Institute of Crop Sciences & Institute of Bioinformatics, Zhejiang University, Hangzhou, China
- Hainan Institute of Zhejiang University, Yazhou Bay, Shanya, China
| | - Xiaojiao Gong
- Institute of Crop Sciences & Institute of Bioinformatics, Zhejiang University, Hangzhou, China
| | - Kun Yang
- Institute of Crop Sciences & Institute of Bioinformatics, Zhejiang University, Hangzhou, China
| | - Yujie Huang
- Institute of Crop Sciences & Institute of Bioinformatics, Zhejiang University, Hangzhou, China
| | - Shiyu Zhang
- Institute of Crop Sciences & Institute of Bioinformatics, Zhejiang University, Hangzhou, China
| | - Leti Shen
- Hainan Institute of Zhejiang University, Yazhou Bay, Shanya, China
| | - Yanqing Sun
- Institute of Crop Sciences & Institute of Bioinformatics, Zhejiang University, Hangzhou, China
| | - Dongya Wu
- Institute of Crop Sciences & Institute of Bioinformatics, Zhejiang University, Hangzhou, China
| | - Chuyu Ye
- Institute of Crop Sciences & Institute of Bioinformatics, Zhejiang University, Hangzhou, China
| | - Qian-Hao Zhu
- CSIRO Agriculture and Food, Black Mountain Laboratories, Canberra, Australia
| | - Longjiang Fan
- Institute of Crop Sciences & Institute of Bioinformatics, Zhejiang University, Hangzhou, China.
- Hainan Institute of Zhejiang University, Yazhou Bay, Shanya, China.
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6
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Chakrawarti A, Eckstrom K, Laaguiby P, Barlow JW. Hybrid Illumina-Nanopore assembly improves identification of multilocus sequence types and antimicrobial resistance genes of Staphylococcus aureus isolated from Vermont dairy farms: comparison to Illumina-only and R9.4.1 nanopore-only assemblies. Access Microbiol 2024; 6:000766.v3. [PMID: 38725589 PMCID: PMC11077346 DOI: 10.1099/acmi.0.000766.v3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Accepted: 02/23/2024] [Indexed: 05/12/2024] Open
Abstract
Antimicrobial resistance (AMR) in Staphylococcus aureus is a pressing public health challenge with significant implications for the dairy industry, encompassing bovine mastitis concerns and potential zoonotic threats. To delve deeper into the resistance mechanisms of S. aureus, this study employed a hybrid whole genome assembly approach that synergized the precision of Illumina with the continuity of Oxford Nanopore. A total of 62 isolates, collected from multiple sources from Vermont dairy farms, were sequenced using the GridION Oxford Nanopore R9.4.1 platform and the Illumina platform, and subsequently processed through our long-read first bioinformatics pipeline. Our analyses showcased the hybrid-assembled genome's superior completeness compared to Oxford Nanopore (R9.4.1)-only or Illumina-only assembled genomes. Furthermore, the hybrid assembly accurately determined multilocus sequence typing (MLST) strain types across all isolates. The comprehensive probe for antibiotic resistance genes (ARGs) using databases like CARD, Resfinder, and MEGARES 2.0 characterized AMR in S. aureus isolates from Vermont dairy farms, and revealed the presence of notable resistance genes, including beta-lactam genes blaZ, blaI, and blaR. In conclusion, the hybrid assembly approach emerged as a tool for uncovering the genomic nuances of S. aureus isolates collected from multiple sources on dairy farms. Our findings offer a pathway for detecting AMR gene prevalence and shaping AMR management strategies crucial for safeguarding human and animal health.
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Affiliation(s)
- Ashma Chakrawarti
- Department of Animal and Veterinary Sciences, University of Vermont, Burlington, VT, USA
| | - Korin Eckstrom
- Department of Microbiology and Molecular Genetics, Robert Larner, M.D. College of Medicine, University of Vermont, Burlington, VT, USA
| | - Pheobe Laaguiby
- Advanced Genome Technologies Core, Vermont Integrative Genomics Resource, The Robert Larner, M.D. College of Medicine, University of Vermont, Burlington, VT, USA
| | - John W. Barlow
- Department of Animal and Veterinary Sciences, University of Vermont, Burlington, VT, USA
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7
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Ermini L, Driguez P. The Application of Long-Read Sequencing to Cancer. Cancers (Basel) 2024; 16:1275. [PMID: 38610953 PMCID: PMC11011098 DOI: 10.3390/cancers16071275] [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: 02/23/2024] [Revised: 03/20/2024] [Accepted: 03/21/2024] [Indexed: 04/14/2024] Open
Abstract
Cancer is a multifaceted disease arising from numerous genomic aberrations that have been identified as a result of advancements in sequencing technologies. While next-generation sequencing (NGS), which uses short reads, has transformed cancer research and diagnostics, it is limited by read length. Third-generation sequencing (TGS), led by the Pacific Biosciences and Oxford Nanopore Technologies platforms, employs long-read sequences, which have marked a paradigm shift in cancer research. Cancer genomes often harbour complex events, and TGS, with its ability to span large genomic regions, has facilitated their characterisation, providing a better understanding of how complex rearrangements affect cancer initiation and progression. TGS has also characterised the entire transcriptome of various cancers, revealing cancer-associated isoforms that could serve as biomarkers or therapeutic targets. Furthermore, TGS has advanced cancer research by improving genome assemblies, detecting complex variants, and providing a more complete picture of transcriptomes and epigenomes. This review focuses on TGS and its growing role in cancer research. We investigate its advantages and limitations, providing a rigorous scientific analysis of its use in detecting previously hidden aberrations missed by NGS. This promising technology holds immense potential for both research and clinical applications, with far-reaching implications for cancer diagnosis and treatment.
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Affiliation(s)
- Luca Ermini
- NORLUX Neuro-Oncology Laboratory, Department of Cancer Research, Luxembourg Institute of Health, L-1210 Luxembourg, Luxembourg
| | - Patrick Driguez
- Bioscience Core Lab, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabia
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8
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Guan X, Shao W, Zhang D. T-S2Inet: Transformer-based sequence-to-image network for accurate nanopore sequence recognition. Bioinformatics 2024; 40:btae083. [PMID: 38366607 PMCID: PMC10902682 DOI: 10.1093/bioinformatics/btae083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2023] [Revised: 02/01/2024] [Accepted: 02/13/2024] [Indexed: 02/18/2024] Open
Abstract
MOTIVATION Nanopore sequencing is a new macromolecular recognition and perception technology that enables high-throughput sequencing of DNA, RNA, even protein molecules. The sequences generated by nanopore sequencing span a large time frame, and the labor and time costs incurred by traditional analysis methods are substantial. Recently, research on nanopore data analysis using machine learning algorithms has gained unceasing momentum, but there is often a significant gap between traditional and deep learning methods in terms of classification results. To analyze nanopore data using deep learning technologies, measures such as sequence completion and sequence transformation can be employed. However, these technologies do not preserve the local features of the sequences. To address this issue, we propose a sequence-to-image (S2I) module that transforms sequences of unequal length into images. Additionally, we propose the Transformer-based T-S2Inet model to capture the important information and improve the classification accuracy. RESULTS Quantitative and qualitative analysis shows that the experimental results have an improvement of around 2% in accuracy compared to previous methods. The proposed method is adaptable to other nanopore platforms, such as the Oxford nanopore. It is worth noting that the proposed method not only aims to achieve the most advanced performance, but also provides a general idea for the analysis of nanopore sequences of unequal length. AVAILABILITY AND IMPLEMENTATION The main program is available at https://github.com/guanxiaoyu11/S2Inet.
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Affiliation(s)
- Xiaoyu Guan
- College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, MIIT Key Laboratory of Pattern Analysis and Machine Intelligence, Nanjing 211106, China
- Key Laboratory of Brain-Machine Intelligence Technology, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
| | - Wei Shao
- College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, MIIT Key Laboratory of Pattern Analysis and Machine Intelligence, Nanjing 211106, China
- Key Laboratory of Brain-Machine Intelligence Technology, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
| | - Daoqiang Zhang
- College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, MIIT Key Laboratory of Pattern Analysis and Machine Intelligence, Nanjing 211106, China
- Key Laboratory of Brain-Machine Intelligence Technology, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
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De Vos L, van der Nest MA, Santana QC, van Wyk S, Leeuwendaal KS, Wingfield BD, Steenkamp ET. Chromosome-Level Assemblies for the Pine Pitch Canker Pathogen Fusarium circinatum. Pathogens 2024; 13:70. [PMID: 38251377 PMCID: PMC10819268 DOI: 10.3390/pathogens13010070] [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: 12/03/2023] [Revised: 12/26/2023] [Accepted: 01/09/2024] [Indexed: 01/23/2024] Open
Abstract
The pine pitch canker pathogen, Fusarium circinatum, is globally regarded as one of the most important threats to commercial pine-based forestry. Although genome sequences of this fungus are available, these remain highly fragmented or structurally ill-defined. Our overall goal was to provide high-quality assemblies for two notable strains of F. circinatum, and to characterize these in terms of coding content, repetitiveness and the position of telomeres and centromeres. For this purpose, we used Oxford Nanopore Technologies MinION long-read sequences, as well as Illumina short sequence reads. By leveraging the genomic synteny inherent to F. circinatum and its close relatives, these sequence reads were assembled to chromosome level, where contiguous sequences mostly spanned from telomere to telomere. Comparative analyses unveiled remarkable variability in the twelfth and smallest chromosome, which is known to be dispensable. It presented a striking length polymorphism, with one strain lacking substantial portions from the chromosome's distal and proximal regions. These regions, characterized by a lower gene density, G+C content and an increased prevalence of repetitive elements, contrast starkly with the syntenic segments of the chromosome, as well as with the core chromosomes. We propose that these unusual regions might have arisen or expanded due to the presence of transposable elements. A comparison of the overall chromosome structure revealed that centromeric elements often underpin intrachromosomal differences between F. circinatum strains, especially at chromosomal breakpoints. This suggests a potential role for centromeres in shaping the chromosomal architecture of F. circinatum and its relatives. The publicly available genome data generated here, together with the detailed metadata provided, represent essential resources for future studies of this important plant pathogen.
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Affiliation(s)
- Lieschen De Vos
- Department of Biochemistry, Genetics and Microbiology (BGM), Forestry and Agricultural Biotechnology Institute (FABI), University of Pretoria (UP), Pretoria 0002, South Africa; (L.D.V.); (K.S.L.); (B.D.W.)
| | - Magriet A. van der Nest
- Hans Merensky Chair in Avocado Research, Department of Biochemistry, Genetics and Microbiology, Forestry and Agricultural Biotechnology Institute FABI, University of Pretoria, Pretoria 0002, South Africa;
| | - Quentin C. Santana
- Biotechnology Platform, Agricultural Research Council, 100 Old Soutpan Road, Onderstepoort, Pretoria 0010, South Africa;
| | - Stephanie van Wyk
- Collaborating Centre for Optimising Antimalarial Therapy (CCOAT), Mitigating Antimalarial Resistance Consortium in South-East Africa (MARC SEA), Department of Medicine, Division of Clinical Pharmacology, University of Cape Town, Cape Town 7925, South Africa;
| | - Kyle S. Leeuwendaal
- Department of Biochemistry, Genetics and Microbiology (BGM), Forestry and Agricultural Biotechnology Institute (FABI), University of Pretoria (UP), Pretoria 0002, South Africa; (L.D.V.); (K.S.L.); (B.D.W.)
| | - Brenda D. Wingfield
- Department of Biochemistry, Genetics and Microbiology (BGM), Forestry and Agricultural Biotechnology Institute (FABI), University of Pretoria (UP), Pretoria 0002, South Africa; (L.D.V.); (K.S.L.); (B.D.W.)
| | - Emma T. Steenkamp
- Department of Biochemistry, Genetics and Microbiology (BGM), Forestry and Agricultural Biotechnology Institute (FABI), University of Pretoria (UP), Pretoria 0002, South Africa; (L.D.V.); (K.S.L.); (B.D.W.)
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10
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Arahal D, Bisgaard M, Christensen H, Clermont D, Dijkshoorn L, Duim B, Emler S, Figge M, Göker M, Moore ERB, Nemec A, Nørskov-Lauritsen N, Nübel U, On SLW, Vandamme P, Ventosa A. The best of both worlds: a proposal for further integration of Candidatus names into the International Code of Nomenclature of Prokaryotes. Int J Syst Evol Microbiol 2024; 74. [PMID: 38180015 DOI: 10.1099/ijsem.0.006188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2024] Open
Abstract
The naming of prokaryotes is governed by the International Code of Nomenclature of Prokaryotes (ICNP) and partially by the International Code of Nomenclature for Algae, Fungi and Plants (ICN). Such codes must be able to determine names of taxa in a universal and unambiguous manner, thus serving as a common language across different fields and activities. This unity is undermined when a new code of nomenclature emerges that overlaps in scope with an established, time-tested code and uses the same format of names but assigns different nomenclatural status values to the names. The resulting nomenclatural confusion is not beneficial to the wider scientific community. Such ambiguity is expected to result from the establishment of the 'Code of Nomenclature of Prokaryotes Described from DNA Sequence Data' ('SeqCode'), which is in general and specific conflict with the ICNP and the ICN. Shortcomings in the interpretation of the ICNP may have exacerbated the incompatibility between the codes. It is reiterated as to why proposals to accept sequences as nomenclatural types of species and subspecies with validly published names, now implemented in the SeqCode, have not been implemented by the International Committee on Systematics of Prokaryotes (ICSP), which oversees the ICNP. The absence of certain regulations from the ICNP for the naming of as yet uncultivated prokaryotes is an acceptable scientific argument, although it does not justify the establishment of a separate code. Moreover, the proposals rejected by the ICSP are unnecessary to adequately regulate the naming of uncultivated prokaryotes. To provide a better service to the wider scientific community, an alternative proposal to emend the ICNP is presented, which would result in Candidatus names being regulated analogously to validly published names. This proposal is fully consistent with previous ICSP decisions, preserves the essential unity of nomenclature and avoids the expected nomenclatural confusion.
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Affiliation(s)
- David Arahal
- Departamento de Microbiología y Ecología, Universitat de València, Valencia, Spain
| | | | - Henrik Christensen
- Department of Veterinary and Animal Sciences, University of Copenhagen, Stigbøjlen 4, 1870 Frederiksberg C, Denmark
| | - Dominique Clermont
- Institut Pasteur, Université Paris Cité, CRBIP, CIP-Collection of Institut Pasteur, F-75015 Paris, France
| | - Lenie Dijkshoorn
- Department of Infectious Diseases, Leiden University Medical Center, Albinusdreef 2, Leiden / Torensteelaan 68, 3281 MA Numansdorp, Netherlands
| | - Birgitta Duim
- Department Biomolecular Health Sciences, Infectious Diseases and Immunology, Faculty of Veterinary Medicine, Utrecht University, Yalelaan 1, 3584 CS Utrecht, Netherlands
| | - Stefan Emler
- SmartGene Services SARL, EPFL Innovation Park, PSE-C, CH-1015 Lausanne, Switzerland
| | - Marian Figge
- Westerdijk Fungal Biodiversity Institute Uppsalalaan 8 3584 CT, Utrecht, Netherlands
| | - Markus Göker
- Leibniz Institute DSMZ - German Collection of Microorganisms and Cell Cultures, Inhoffenstrasse 7B, D-38124 Braunschweig, Germany
| | - Edward R B Moore
- Department of Infectious Disease and Culture Collection University of Gothenburg (CCUG), Institute for Biomedicine, Sahlgrenska Academy, University of Gothenburg, SE-402 34 Gothenburg, Sweden
| | - Alexandr Nemec
- Laboratory of Bacterial Genetics, National Institute of Public Health, Srobarova 48, 100 00 Prague 10, Czech Republic
- Department of Medical Microbiology, Charles University, 2nd Faculty of Medicine and Motol University Hospital, Prague, V Úvalu 84, 150 06 Prague 5, Czechia
| | | | - Ulrich Nübel
- Leibniz Institute DSMZ - German Collection of Microorganisms and Cell Cultures, Inhoffenstrasse 7B, D-38124 Braunschweig, Germany
- Technical University Braunschweig, Institute of Microbiology, Braunschweig, Germany
- German Center for Infection Research (DZIF), Partner Site Braunschweig-Hannover, Braunschweig, Germany
| | - Stephen L W On
- Department of Wine, Food and Molecular Biosciences, Faculty of Agricultural Science, Lincoln University, Lincoln 7647, Christchurch, New Zealand
| | - Peter Vandamme
- BCCM/LMG, Laboratorium voor Microbiologie, Universiteit Gent (UGent) K.L. Ledeganckstraat 35, B-9000 Gent, Belgium
| | - Antonio Ventosa
- Department of Microbiology and Parasitology, Faculty of Pharmacy, University of Sevilla, Sevilla, C/. Prof. Garcia Gonzalez 2, ES-41012 Sevilla, Spain
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11
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Lin Y, Zhang Y, Sun H, Jiang H, Zhao X, Teng X, Lin J, Shu B, Sun H, Liao Y, Zhou J. NanoDeep: a deep learning framework for nanopore adaptive sampling on microbial sequencing. Brief Bioinform 2023; 25:bbad499. [PMID: 38189540 PMCID: PMC10772945 DOI: 10.1093/bib/bbad499] [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: 07/30/2023] [Revised: 11/21/2023] [Accepted: 12/11/2023] [Indexed: 01/09/2024] Open
Abstract
Nanopore sequencers can enrich or deplete the targeted DNA molecules in a library by reversing the voltage across individual nanopores. However, it requires substantial computational resources to achieve rapid operations in parallel at read-time sequencing. We present a deep learning framework, NanoDeep, to overcome these limitations by incorporating convolutional neural network and squeeze and excitation. We first showed that the raw squiggle derived from native DNA sequences determines the origin of microbial and human genomes. Then, we demonstrated that NanoDeep successfully classified bacterial reads from the pooled library with human sequence and showed enrichment for bacterial sequence compared with routine nanopore sequencing setting. Further, we showed that NanoDeep improves the sequencing efficiency and preserves the fidelity of bacterial genomes in the mock sample. In addition, NanoDeep performs well in the enrichment of metagenome sequences of gut samples, showing its potential applications in the enrichment of unknown microbiota. Our toolkit is available at https://github.com/lysovosyl/NanoDeep.
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Affiliation(s)
- Yusen Lin
- Dermatology Hospital, Southern Medical University, Guangzhou, China
| | - Yongjun Zhang
- Dermatology Hospital, Southern Medical University, Guangzhou, China
| | - Hang Sun
- Dermatology Hospital, Southern Medical University, Guangzhou, China
| | - Hang Jiang
- Dermatology Hospital, Southern Medical University, Guangzhou, China
| | - Xing Zhao
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong SAR, China
- Department of Chemical Pathology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong SAR, China
| | - Xiaojuan Teng
- Dermatology Hospital, Southern Medical University, Guangzhou, China
| | - Jingxia Lin
- Dermatology Hospital, Southern Medical University, Guangzhou, China
| | - Bowen Shu
- Dermatology Hospital, Southern Medical University, Guangzhou, China
| | - Hao Sun
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong SAR, China
- Department of Chemical Pathology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong SAR, China
| | - Yuhui Liao
- Dermatology Hospital, Southern Medical University, Guangzhou, China
| | - Jiajian Zhou
- Dermatology Hospital, Southern Medical University, Guangzhou, China
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12
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Lin D, Zou Y, Li X, Wang J, Xiao Q, Gao X, Lin F, Zhang N, Jiao M, Guo Y, Teng Z, Li S, Wei Y, Zhou F, Yin R, Zhang S, Xing L, Xu W, Wu X, Yang B, Xiao K, Wu C, Tao Y, Yang X, Zhang J, Hu S, Dong S, Li X, Ye S, Hong Z, Pan Y, Yang Y, Sun H, Cao G. MGA-seq: robust identification of extrachromosomal DNA and genetic variants using multiple genetic abnormality sequencing. Genome Biol 2023; 24:247. [PMID: 37904244 PMCID: PMC10614391 DOI: 10.1186/s13059-023-03081-x] [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: 02/05/2023] [Accepted: 10/04/2023] [Indexed: 11/01/2023] Open
Abstract
Genomic abnormalities are strongly associated with cancer and infertility. In this study, we develop a simple and efficient method - multiple genetic abnormality sequencing (MGA-Seq) - to simultaneously detect structural variation, copy number variation, single-nucleotide polymorphism, homogeneously staining regions, and extrachromosomal DNA (ecDNA) from a single tube. MGA-Seq directly sequences proximity-ligated genomic fragments, yielding a dataset with concurrent genome three-dimensional and whole-genome sequencing information, enabling approximate localization of genomic structural variations and facilitating breakpoint identification. Additionally, by utilizing MGA-Seq, we map focal amplification and oncogene coamplification, thus facilitating the exploration of ecDNA's transcriptional regulatory function.
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Affiliation(s)
- Da Lin
- Precision Research Center for Refractory Diseases, Institute for Clinical Research, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Yanyan Zou
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China
- College of Informatics, Huazhong Agricultural University, Wuhan, China
| | - Xinyu Li
- Precision Research Center for Refractory Diseases, Institute for Clinical Research, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jinyue Wang
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China
- College of Bio-Medicine and Health, Huazhong Agricultural University, Wuhan, China
- College of Life Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Qin Xiao
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China
- College of Bio-Medicine and Health, Huazhong Agricultural University, Wuhan, China
- College of Life Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Xiaochen Gao
- Precision Research Center for Refractory Diseases, Institute for Clinical Research, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Fei Lin
- Reproductive Medical Center, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Ningyuan Zhang
- Reproductive Medical Center, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Ming Jiao
- Department of Laboratory Animal Center, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yu Guo
- Department of Laboratory Animal Center, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhaowei Teng
- The First People's Hospital of Yunnan Province, Affiliated Hospital of Kunming University of Science and Technology, Kunming, China
| | - Shiyi Li
- Baylor College of Medicine, Houston, TX, USA
- Department of Radiation & Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Yongchang Wei
- Department of Radiation & Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, China
- Hubei Key Laboratory of Tumor Biological Behaviors, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Fuling Zhou
- Department of Hematology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Rong Yin
- Department of Hematology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Siheng Zhang
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
| | - Lingyu Xing
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
| | - Weize Xu
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
| | - Xiaofeng Wu
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
| | - Bing Yang
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
| | - Ke Xiao
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
| | - Chengchao Wu
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
| | - Yingfeng Tao
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
| | - Xiaoqing Yang
- Hospital of Huazhong Agricultural University, Wuhan, China
| | - Jing Zhang
- Department of Medical Oncology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Sheng Hu
- Department of Medical Oncology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shuang Dong
- Department of Medical Oncology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaoyu Li
- Department of Medical Oncology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shengwei Ye
- Department of Gastrointestinal Surgery, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhidan Hong
- Dapartment of Reproductive Medicine Center, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Yihang Pan
- Precision Medicine Center, Scientific Research Center, School of Medicine, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China
| | - Yuqin Yang
- Department of Laboratory Animal Center, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Haixiang Sun
- Reproductive Medical Center, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China.
| | - Gang Cao
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China.
- College of Bio-Medicine and Health, Huazhong Agricultural University, Wuhan, China.
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China.
- Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
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13
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Huang YY, Li QS, Li ZD, Sun AH, Hu SP. Rapid diagnosis of Mycobacterium marinum infection using targeted nanopore sequencing: a case report. Front Cell Infect Microbiol 2023; 13:1238872. [PMID: 37965260 PMCID: PMC10642934 DOI: 10.3389/fcimb.2023.1238872] [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: 06/12/2023] [Accepted: 10/16/2023] [Indexed: 11/16/2023] Open
Abstract
Mycobacterium marinum (M. marinum) is a non-tuberculous mycobacterium (NTM) that can cause infectious diseases in aquatic animals and humans. Culture-based pathogen detection is the gold standard for diagnosing NTM infection. However, this method is time-consuming and has low positivity rates for fastidious organisms. Oxford Nanopore MinION sequencing is an emerging third-generation sequencing technology that can sequence DNA or RNA directly in a culture-independent manner and offers rapid microbial identification. Further benefits include low cost, short turnaround time, long read lengths, and small equipment size. Nanopore sequencing plays a crucial role in assessing drug resistance, clinical identification of microbes, and monitoring infectious diseases. Some reports on Mycobacterium tuberculosis (MTB) using nanopore sequencing have been published, however, there are few reports on NTM, such as M. marinum. Here, we report the use of nanopore sequencing for the diagnosis of M. marinum.
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Affiliation(s)
- Yan-Ying Huang
- Department of Pathology, Hangzhou Red Cross Hospital, Hangzhou, China
| | - Qiu-Shi Li
- Department of Ophthalmology, Hangzhou Red Cross Hospital, Hangzhou, China
| | - Zhao-Dong Li
- Department of Clinical laboratory, Hangzhou Red Cross Hospital, Hangzhou, China
| | - Ai-Hua Sun
- School of Basic Medical Sciences and Forensic Medicine, Hangzhou Medical College, Hangzhou, China
| | - Sheng-Ping Hu
- Department of Orthopaedic, Hangzhou Red Cross Hospital, Hangzhou, China
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14
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Keuthan CJ, Karma S, Zack DJ. Alternative RNA Splicing in the Retina: Insights and Perspectives. Cold Spring Harb Perspect Med 2023; 13:a041313. [PMID: 36690463 PMCID: PMC10547393 DOI: 10.1101/cshperspect.a041313] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
Alternative splicing is a fundamental and highly regulated post-transcriptional process that enhances transcriptome and proteome diversity. This process is particularly important in neuronal tissues, such as the retina, which exhibit some of the highest levels of differentially spliced genes in the body. Alternative splicing is regulated both temporally and spatially during neuronal development, can be cell-type-specific, and when altered can cause a number of pathologies, including retinal degeneration. Advancements in high-throughput sequencing technologies have facilitated investigations of the alternative splicing landscape of the retina in both healthy and disease states. Additionally, innovations in human stem cell engineering, specifically in the generation of 3D retinal organoids, which recapitulate many aspects of the in vivo retinal microenvironment, have aided studies of the role of alternative splicing in human retinal development and degeneration. Here we review these advances and discuss the ongoing development of strategies for the treatment of alternative splicing-related retinal disease.
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Affiliation(s)
- Casey J Keuthan
- Department of Ophthalmology, Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland 21231, USA
| | - Sadik Karma
- Department of Ophthalmology, Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland 21231, USA
| | - Donald J Zack
- Departments of Ophthalmology, Wilmer Eye Institute, Neuroscience, Molecular Biology and Genetics, and Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland 21231, USA
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15
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Yu PL, Fulton JC, Hudson OH, Huguet-Tapia JC, Brawner JT. Next-generation fungal identification using target enrichment and Nanopore sequencing. BMC Genomics 2023; 24:581. [PMID: 37784013 PMCID: PMC10544392 DOI: 10.1186/s12864-023-09691-w] [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: 05/15/2023] [Accepted: 09/21/2023] [Indexed: 10/04/2023] Open
Abstract
BACKGROUND Rapid and accurate pathogen identification is required for disease management. Compared to sequencing entire genomes, targeted sequencing may be used to direct sequencing resources to genes of interest for microbe identification and mitigate the low resolution that single-locus molecular identification provides. This work describes a broad-spectrum fungal identification tool developed to focus high-throughput Nanopore sequencing on genes commonly employed for disease diagnostics and phylogenetic inference. RESULTS Orthologs of targeted genes were extracted from 386 reference genomes of fungal species spanning six phyla to identify homologous regions that were used to design the baits used for enrichment. To reduce the cost of producing probes without diminishing the phylogenetic power, DNA sequences were first clustered, and then consensus sequences within each cluster were identified to produce 26,000 probes that targeted 114 genes. To test the efficacy of our probes, we applied the technique to three species representing Ascomycota and Basidiomycota fungi. The efficiency of enrichment, quantified as mean target coverage over the mean genome-wide coverage, ranged from 200 to 300. Furthermore, enrichment of long reads increased the depth of coverage across the targeted genes and into non-coding flanking sequence. The assemblies generated from enriched samples provided well-resolved phylogenetic trees for taxonomic assignment and molecular identification. CONCLUSIONS Our work provides data to support the utility of targeted Nanopore sequencing for fungal identification and provides a platform that may be extended for use with other phytopathogens.
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Affiliation(s)
- Pei-Ling Yu
- Department of Plant Pathology, University of Florida, Gainesville, FL, 32611, USA
| | - James C Fulton
- Department of Plant Pathology, University of Florida, Gainesville, FL, 32611, USA
- Florida Department of Agriculture and Consumer Services, Division of Plant Industry, Gainesville, FL, 32608, USA
| | - Owen H Hudson
- Department of Plant Pathology, University of Florida, Gainesville, FL, 32611, USA
| | - Jose C Huguet-Tapia
- Department of Plant Pathology, University of Florida, Gainesville, FL, 32611, USA
| | - Jeremy T Brawner
- Department of Plant Pathology, University of Florida, Gainesville, FL, 32611, USA.
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16
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van Dijk EL, Naquin D, Gorrichon K, Jaszczyszyn Y, Ouazahrou R, Thermes C, Hernandez C. Genomics in the long-read sequencing era. Trends Genet 2023; 39:649-671. [PMID: 37230864 DOI: 10.1016/j.tig.2023.04.006] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 04/21/2023] [Accepted: 04/25/2023] [Indexed: 05/27/2023]
Abstract
Long-read sequencing (LRS) technologies have provided extremely powerful tools to explore genomes. While in the early years these methods suffered technical limitations, they have recently made significant progress in terms of read length, throughput, and accuracy and bioinformatics tools have strongly improved. Here, we aim to review the current status of LRS technologies, the development of novel methods, and the impact on genomics research. We will explore the most impactful recent findings made possible by these technologies focusing on high-resolution sequencing of genomes and transcriptomes and the direct detection of DNA and RNA modifications. We will also discuss how LRS methods promise a more comprehensive understanding of human genetic variation, transcriptomics, and epigenetics for the coming years.
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Affiliation(s)
- Erwin L van Dijk
- Université Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), 91198, Gif-sur-Yvette, France.
| | - Delphine Naquin
- Université Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), 91198, Gif-sur-Yvette, France
| | - Kévin Gorrichon
- National Center of Human Genomics Research (CNRGH), 91000 Évry-Courcouronnes, France
| | - Yan Jaszczyszyn
- Université Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), 91198, Gif-sur-Yvette, France
| | - Rania Ouazahrou
- Université Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), 91198, Gif-sur-Yvette, France
| | - Claude Thermes
- Université Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), 91198, Gif-sur-Yvette, France
| | - Céline Hernandez
- Université Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), 91198, Gif-sur-Yvette, France
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17
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Espinosa E, Bautista R, Fernandez I, Larrosa R, Zapata EL, Plata O. Comparing assembly strategies for third-generation sequencing technologies across different genomes. Genomics 2023; 115:110700. [PMID: 37598732 DOI: 10.1016/j.ygeno.2023.110700] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 08/07/2023] [Accepted: 08/16/2023] [Indexed: 08/22/2023]
Abstract
The recent advent of long-read sequencing technologies, such as Pacific Biosciences (PacBio) and Oxford Nanopore technology (ONT), has led to substantial accuracy and computational cost improvements. However, de novo whole-genome assembly still presents significant challenges related to the computational cost and the quality of the results. Accordingly, sequencing accuracy and throughput continue to improve, and many tools are constantly emerging. Therefore, selecting the correct sequencing platform, the proper sequencing depth and the assembly tools are necessary to perform high-quality assembly. This paper evaluates the primary assembly reconstruction from recent hybrid and non-hybrid pipelines on different genomes. We find that using PacBio high-fidelity long-read (HiFi) plays an essential role in haplotype construction with respect to ONT reads. However, we observe a substantial improvement in the correctness of the assembly from high-fidelity ONT datasets and combining it with HiFi or short-reads.
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Affiliation(s)
- Elena Espinosa
- Department of Computer Architecture, University of Malaga, Louis Pasteur, 35, Campus de Teatinos, Malaga 29071, Spain.
| | - Rocio Bautista
- Supercomputing and Bioinnovation Center, University of Malaga, C. Severo Ochoa, 34, Malaga 29590, Spain.
| | - Ivan Fernandez
- Department of Computer Architecture, University of Malaga, Louis Pasteur, 35, Campus de Teatinos, Malaga 29071, Spain; Departament d'Arquitectura de Computadors, Universitat Politècnica de Catalunya, C. Jordi Girona, 1-3, Barcelona 08034, Spain.
| | - Rafael Larrosa
- Department of Computer Architecture, University of Malaga, Louis Pasteur, 35, Campus de Teatinos, Malaga 29071, Spain; Supercomputing and Bioinnovation Center, University of Malaga, C. Severo Ochoa, 34, Malaga 29590, Spain.
| | - Emilio L Zapata
- Department of Computer Architecture, University of Malaga, Louis Pasteur, 35, Campus de Teatinos, Malaga 29071, Spain; Supercomputing and Bioinnovation Center, University of Malaga, C. Severo Ochoa, 34, Malaga 29590, Spain.
| | - Oscar Plata
- Department of Computer Architecture, University of Malaga, Louis Pasteur, 35, Campus de Teatinos, Malaga 29071, Spain.
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18
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Jaudou S, Deneke C, Tran ML, Salzinger C, Vorimore F, Goehler A, Schuh E, Malorny B, Fach P, Grützke J, Delannoy S. Exploring Long-Read Metagenomics for Full Characterization of Shiga Toxin-Producing Escherichia coli in Presence of Commensal E. coli. Microorganisms 2023; 11:2043. [PMID: 37630603 PMCID: PMC10458860 DOI: 10.3390/microorganisms11082043] [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: 06/26/2023] [Revised: 07/26/2023] [Accepted: 08/07/2023] [Indexed: 08/27/2023] Open
Abstract
The characterization of Shiga toxin-producing Escherichia coli (STEC) is necessary to assess their pathogenic potential, but isolation of the strain from complex matrices such as milk remains challenging. In previous work, we have shown the potential of long-read metagenomics to characterize eae-positive STEC from artificially contaminated raw milk without isolating the strain. The presence of multiple E. coli strains in the sample was shown to potentially hinder the correct characterization of the STEC strain. Here, we aimed at determining the STEC:commensal ratio that would prevent the characterization of the STEC. We artificially contaminated pasteurized milk with different ratios of an eae-positive STEC and a commensal E. coli and applied the method previously developed. Results showed that the STEC strain growth was better than the commensal E. coli after enrichment in acriflavine-supplemented BPW. The STEC was successfully characterized in all samples with at least 10 times more STEC post-enrichment compared to the commensal E. coli. However, the presence of equivalent proportions of STEC and commensal E. coli prevented the full characterization of the STEC strain. This study confirms the potential of long-read metagenomics for STEC characterization in an isolation-free manner while refining its limit regarding the presence of background E. coli strains.
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Affiliation(s)
- Sandra Jaudou
- COLiPATH Unit, Laboratory for Food Safety, ANSES, 94700 Maisons-Alfort, France; (S.J.)
- National Study Center for Sequencing in Risk Assessment, Department of Biological Safety, German Federal Institute for Risk Assessment, 12277 Berlin, Germany
| | - Carlus Deneke
- National Study Center for Sequencing in Risk Assessment, Department of Biological Safety, German Federal Institute for Risk Assessment, 12277 Berlin, Germany
| | - Mai-Lan Tran
- COLiPATH Unit, Laboratory for Food Safety, ANSES, 94700 Maisons-Alfort, France; (S.J.)
- Genomics Platform IdentyPath, Laboratory for Food Safety, ANSES, 94700 Maisons-Alfort, France
| | - Carina Salzinger
- National Reference Laboratory for Escherichia coli Including VTEC, Department of Biological Safety, German Federal Institute for Risk Assessment, 12277 Berlin, Germany
| | - Fabien Vorimore
- Genomics Platform IdentyPath, Laboratory for Food Safety, ANSES, 94700 Maisons-Alfort, France
| | - André Goehler
- National Reference Laboratory for Escherichia coli Including VTEC, Department of Biological Safety, German Federal Institute for Risk Assessment, 12277 Berlin, Germany
| | - Elisabeth Schuh
- National Reference Laboratory for Escherichia coli Including VTEC, Department of Biological Safety, German Federal Institute for Risk Assessment, 12277 Berlin, Germany
| | - Burkhard Malorny
- National Study Center for Sequencing in Risk Assessment, Department of Biological Safety, German Federal Institute for Risk Assessment, 12277 Berlin, Germany
| | - Patrick Fach
- COLiPATH Unit, Laboratory for Food Safety, ANSES, 94700 Maisons-Alfort, France; (S.J.)
- Genomics Platform IdentyPath, Laboratory for Food Safety, ANSES, 94700 Maisons-Alfort, France
| | - Josephine Grützke
- National Study Center for Sequencing in Risk Assessment, Department of Biological Safety, German Federal Institute for Risk Assessment, 12277 Berlin, Germany
| | - Sabine Delannoy
- COLiPATH Unit, Laboratory for Food Safety, ANSES, 94700 Maisons-Alfort, France; (S.J.)
- Genomics Platform IdentyPath, Laboratory for Food Safety, ANSES, 94700 Maisons-Alfort, France
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19
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Zhang J, Sheng H, Hu C, Li F, Cai B, Ma Y, Wang Y, Ma Y. Effects of DNA Methylation on Gene Expression and Phenotypic Traits in Cattle: A Review. Int J Mol Sci 2023; 24:11882. [PMID: 37569258 PMCID: PMC10419045 DOI: 10.3390/ijms241511882] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Revised: 07/20/2023] [Accepted: 07/22/2023] [Indexed: 08/13/2023] Open
Abstract
Gene expression in cells is determined by the epigenetic state of chromatin. Therefore, the study of epigenetic changes is very important to understand the regulatory mechanism of genes at the molecular, cellular, tissue and organ levels. DNA methylation is one of the most studied epigenetic modifications, which plays an important role in maintaining genome stability and ensuring normal growth and development. Studies have shown that methylation levels in bovine primordial germ cells, the rearrangement of methylation during embryonic development and abnormal methylation during placental development are all closely related to their reproductive processes. In addition, the application of bovine male sterility and assisted reproductive technology is also related to DNA methylation. This review introduces the principle, development of detection methods and application conditions of DNA methylation, with emphasis on the relationship between DNA methylation dynamics and bovine spermatogenesis, embryonic development, disease resistance and muscle and fat development, in order to provide theoretical basis for the application of DNA methylation in cattle breeding in the future.
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Affiliation(s)
- Junxing Zhang
- Key Laboratory of Ruminant Molecular Cell Breeding of Ningxia Hui Autonomous Region, College of Animal Science and Technology, Ningxia University, Yinchuan 750021, China; (J.Z.); (H.S.); (C.H.); (F.L.); (B.C.); (Y.M.)
- College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Hui Sheng
- Key Laboratory of Ruminant Molecular Cell Breeding of Ningxia Hui Autonomous Region, College of Animal Science and Technology, Ningxia University, Yinchuan 750021, China; (J.Z.); (H.S.); (C.H.); (F.L.); (B.C.); (Y.M.)
| | - Chunli Hu
- Key Laboratory of Ruminant Molecular Cell Breeding of Ningxia Hui Autonomous Region, College of Animal Science and Technology, Ningxia University, Yinchuan 750021, China; (J.Z.); (H.S.); (C.H.); (F.L.); (B.C.); (Y.M.)
| | - Fen Li
- Key Laboratory of Ruminant Molecular Cell Breeding of Ningxia Hui Autonomous Region, College of Animal Science and Technology, Ningxia University, Yinchuan 750021, China; (J.Z.); (H.S.); (C.H.); (F.L.); (B.C.); (Y.M.)
| | - Bei Cai
- Key Laboratory of Ruminant Molecular Cell Breeding of Ningxia Hui Autonomous Region, College of Animal Science and Technology, Ningxia University, Yinchuan 750021, China; (J.Z.); (H.S.); (C.H.); (F.L.); (B.C.); (Y.M.)
| | - Yanfen Ma
- Key Laboratory of Ruminant Molecular Cell Breeding of Ningxia Hui Autonomous Region, College of Animal Science and Technology, Ningxia University, Yinchuan 750021, China; (J.Z.); (H.S.); (C.H.); (F.L.); (B.C.); (Y.M.)
| | - Yachun Wang
- College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Yun Ma
- Key Laboratory of Ruminant Molecular Cell Breeding of Ningxia Hui Autonomous Region, College of Animal Science and Technology, Ningxia University, Yinchuan 750021, China; (J.Z.); (H.S.); (C.H.); (F.L.); (B.C.); (Y.M.)
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20
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Lee GY, Park K, Lee YS, Kim JH, Byun KS, Kim J, Kim WK, Song JW. Molecular diagnosis of patients with hepatitis A virus infection using amplicon-based nanopore sequencing. PLoS One 2023; 18:e0288361. [PMID: 37437048 DOI: 10.1371/journal.pone.0288361] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Accepted: 06/24/2023] [Indexed: 07/14/2023] Open
Abstract
High-throughput sequencing is a robust tool used for identifying and tracking pathogen outbreaks. Whole-genome sequencing of hepatitis A virus (HAV) remains poor due to ultra-low viral loads, limitations of next-generation sequencing technology, and its high costs in clinical applications. This study evaluated multiplex polymerase chain reaction (PCR)-based nanopore sequencing to obtain whole-genome sequences of HAV. The HAV genomes were obtained directly from patient specimens for a rapid molecular diagnosis of viral genotypes. Serum and stool samples were collected from six patients with hepatitis A infection. Amplicon-based nanopore sequencing was performed from the clinical specimens to identify HAV genotypes by acquiring nearly complete-genome sequences. TaqMan-based quantitative PCR (qPCR) was conducted to detect and quantify multiple HAV genes. Singleplex-based nanopore sequencing demonstrated high genome coverage rates (90.4-99.5%) of HAV within 8 h, at viral RNA loads of 10 to 105 copies/μL. TaqMan qPCR showed multiplex quantification of HAV genes namely, VP0, VP3, and 3C. This study provides useful insights into rapid molecular diagnosis during hepatitis A outbreaks and may ultimately augment public health disease surveillance in the hospital and epidemiology field.
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Affiliation(s)
- Geum-Young Lee
- Department of Microbiology, Korea University College of Medicine, Seoul, Republic of Korea
| | - Kyungmin Park
- Department of Microbiology, Korea University College of Medicine, Seoul, Republic of Korea
- Department of Biomedical Sciences, BK21 Graduate Program, Korea University College of Medicine, Seoul, Republic of Korea
| | - Young-Sun Lee
- Department of Internal Medicine, Division of Gastroenterology and Hepatology, Korea University Medical Center, Seoul, Republic of Korea
| | - Ji Hoon Kim
- Department of Internal Medicine, Division of Gastroenterology and Hepatology, Korea University Medical Center, Seoul, Republic of Korea
| | - Kwan Soo Byun
- Department of Internal Medicine, Division of Gastroenterology and Hepatology, Korea University Medical Center, Seoul, Republic of Korea
| | - Jongwoo Kim
- Department of Microbiology, Korea University College of Medicine, Seoul, Republic of Korea
- Department of Biomedical Sciences, BK21 Graduate Program, Korea University College of Medicine, Seoul, Republic of Korea
| | - Won-Keun Kim
- Department of Microbiology, College of Medicine, Hallym University, Chuncheon, Republic of Korea
- Institute of Medical Research, College of Medicine, Hallym University, Chuncheon, Republic of Korea
| | - Jin-Won Song
- Department of Microbiology, Korea University College of Medicine, Seoul, Republic of Korea
- Department of Biomedical Sciences, BK21 Graduate Program, Korea University College of Medicine, Seoul, Republic of Korea
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21
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Tombácz D, Torma G, Gulyás G, Fülöp Á, Dörmő Á, Prazsák I, Csabai Z, Mizik M, Hornyák Á, Zádori Z, Kakuk B, Boldogkői Z. Hybrid sequencing discloses unique aspects of the transcriptomic architecture in equid alphaherpesvirus 1. Heliyon 2023; 9:e17716. [PMID: 37449092 PMCID: PMC10336594 DOI: 10.1016/j.heliyon.2023.e17716] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Revised: 06/05/2023] [Accepted: 06/26/2023] [Indexed: 07/18/2023] Open
Abstract
This study employed both short-read sequencing (SRS, Illumina) and long-read sequencing (LRS Oxford Nanopore Technologies) platforms to conduct a comprehensive analysis of the equid alphaherpesvirus 1 (EHV-1) transcriptome. The study involved the annotation of canonical mRNAs and their transcript variants, encompassing transcription start site (TSS) and transcription end site (TES) isoforms, in addition to alternative splicing forms. Furthermore, the study revealed the presence of numerous non-coding RNA (ncRNA) molecules, including intergenic and antisense transcripts, produced by EHV-1. An intriguing finding was the abundant production of chimeric transcripts, some of which potentially encode fusion polypeptides. Moreover, EHV-1 exhibited a greater incidence of transcriptional overlaps and splicing compared to related viruses. It is noteworthy that many genes have their unique TESs along with the co-terminal transcription ends, a characteristic scarcely seen in other alphaherpesviruses. The study also identified transcripts that overlap the replication origins of the virus. Moreover, a novel ncRNA, referred to as NOIR, was found to intersect with the 5'-ends of longer transcript isoform specified by the major transactivator genes ORF64 and ORF65, surrounding the OriL. These findings together imply the existence of a key regulatory mechanism that governs both transcription and replication through, among others, a process that involves interference between the DNA and RNA synthesis machineries.
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Affiliation(s)
- Dóra Tombácz
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Gábor Torma
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Gábor Gulyás
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Ádám Fülöp
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Ákos Dörmő
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - István Prazsák
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Zsolt Csabai
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Máté Mizik
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Ákos Hornyák
- Institute for Veterinary Medical Research, Centre for Agricultural Research, Budapest, Hungary
| | - Zoltán Zádori
- Institute for Veterinary Medical Research, Centre for Agricultural Research, Budapest, Hungary
| | - Balázs Kakuk
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Zsolt Boldogkői
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, Hungary
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22
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Sahoo B, Ali S, Chen PY, Patterson M, Zelikovsky A. Assessing the Resilience of Machine Learning Classification Algorithms on SARS-CoV-2 Genome Sequences Generated with Long-Read Specific Errors. Biomolecules 2023; 13:934. [PMID: 37371514 DOI: 10.3390/biom13060934] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 05/19/2023] [Accepted: 05/31/2023] [Indexed: 06/29/2023] Open
Abstract
The emergence of third-generation single-molecule sequencing (TGS) technology has revolutionized the generation of long reads, which are essential for genome assembly and have been widely employed in sequencing the SARS-CoV-2 virus during the COVID-19 pandemic. Although long-read sequencing has been crucial in understanding the evolution and transmission of the virus, the high error rate associated with these reads can lead to inadequate genome assembly and downstream biological interpretation. In this study, we evaluate the accuracy and robustness of machine learning (ML) models using six different embedding techniques on SARS-CoV-2 error-incorporated genome sequences. Our analysis includes two types of error-incorporated genome sequences: those generated using simulation tools to emulate error profiles of long-read sequencing platforms and those generated by introducing random errors. We show that the spaced k-mers embedding method achieves high accuracy in classifying error-free SARS-CoV-2 genome sequences, and the spaced k-mers and weighted k-mers embedding methods are highly accurate in predicting error-incorporated sequences. The fixed-length vectors generated by these methods contribute to the high accuracy achieved. Our study provides valuable insights for researchers to effectively evaluate ML models and gain a better understanding of the approach for accurate identification of critical SARS-CoV-2 genome sequences.
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Affiliation(s)
- Bikram Sahoo
- Department of Computer Science, Georgia State University, Atlanta, GA 30303, USA
| | - Sarwan Ali
- Department of Computer Science, Georgia State University, Atlanta, GA 30303, USA
| | - Pin-Yu Chen
- IBM Research, IBM T. J. Watson Research Center, Yorktown Heights, NY 10598, USA
| | - Murray Patterson
- Department of Computer Science, Georgia State University, Atlanta, GA 30303, USA
| | - Alexander Zelikovsky
- Department of Computer Science, Georgia State University, Atlanta, GA 30303, USA
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23
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Hatfield RG, Ryder D, Tidy AM, Hartnell DM, Dean KJ, Batista FM. Combining Nanopore Sequencing with Recombinase Polymerase Amplification Enables Identification of Dinoflagellates from the Alexandrium Genus, Providing a Rapid, Field Deployable Tool. Toxins (Basel) 2023; 15:372. [PMID: 37368673 DOI: 10.3390/toxins15060372] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 05/24/2023] [Accepted: 05/26/2023] [Indexed: 06/29/2023] Open
Abstract
The armoured dinoflagellate Alexandrium can be found throughout many of the world's temperate and tropical marine environments. The genus has been studied extensively since approximately half of its members produce a family of potent neurotoxins, collectively called saxitoxin. These compounds represent a significant threat to animal and environmental health. Moreover, the consumption of bivalve molluscs contaminated with saxitoxin poses a threat to human health. The identification of Alexandrium cells collected from sea water samples using light microscopy can provide early warnings of a toxic event, giving harvesters and competent authorities time to implement measures that safeguard consumers. However, this method cannot reliably resolve Alexandrium to a species level and, therefore, is unable to differentiate between toxic and non-toxic variants. The assay outlined in this study uses a quick recombinase polymerase amplification and nanopore sequencing method to first target and amplify a 500 bp fragment of the ribosomal RNA large subunit and then sequence the amplicon so that individual species from the Alexandrium genus can be resolved. The analytical sensitivity and specificity of the assay was assessed using seawater samples spiked with different Alexandrium species. When using a 0.22 µm membrane to capture and resuspend cells, the assay was consistently able to identify a single cell of A. minutum in 50 mL of seawater. Phylogenetic analysis showed the assay could identify the A. catenella, A. minutum, A. tamutum, A. tamarense, A. pacificum, and A. ostenfeldii species from environmental samples, with just the alignment of the reads being sufficient to provide accurate, real-time species identification. By using sequencing data to qualify when the toxic A. catenella species was present, it was possible to improve the correlation between cell counts and shellfish toxicity from r = 0.386 to r = 0.769 (p ≤ 0.05). Furthermore, a McNemar's paired test performed on qualitative data highlighted no statistical differences between samples confirmed positive or negative for toxic species of Alexandrium by both phylogenetic analysis and real time alignment with the presence or absence of toxins in shellfish. The assay was designed to be deployed in the field for the purposes of in situ testing, which required the development of custom tools and state-of-the-art automation. The assay is rapid and resilient to matrix inhibition, making it suitable as a potential alternative detection method or a complementary one, especially when applying regulatory controls.
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Affiliation(s)
- Robert G Hatfield
- Centre for Environment Fisheries and Aquaculture Science, Weymouth DT48UB, UK
| | - David Ryder
- Centre for Environment Fisheries and Aquaculture Science, Weymouth DT48UB, UK
| | - Annabel M Tidy
- Centre for Environment Fisheries and Aquaculture Science, Weymouth DT48UB, UK
| | - David M Hartnell
- Centre for Environment Fisheries and Aquaculture Science, Weymouth DT48UB, UK
| | - Karl J Dean
- Centre for Environment Fisheries and Aquaculture Science, Weymouth DT48UB, UK
| | - Frederico M Batista
- Centre for Environment Fisheries and Aquaculture Science, Weymouth DT48UB, UK
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24
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Uematsu M, Baskin JM. Barcode-free multiplex plasmid sequencing using Bayesian analysis and nanopore sequencing. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.04.12.536413. [PMID: 37090656 PMCID: PMC10120676 DOI: 10.1101/2023.04.12.536413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/25/2023]
Abstract
Plasmid construction is central to life science research, and sequence verification is arguably its costliest step. Long-read sequencing has emerged as a competitor to Sanger sequencing, with the principal benefit that whole plasmids can be sequenced in a single run. Nevertheless, the current cost of nanopore sequencing is still prohibitive for routine sequencing during plasmid construction. We develop a computational approach termed Simple Algorithm for Very Efficient Multiplexing of Oxford Nanopore Experiments for You (SAVEMONEY) that guides researchers to mix multiple plasmids and subsequently computationally de-mixes the resultant sequences. SAVEMONEY defines optimal mixtures in a pre-survey step, and following sequencing, executes a post-analysis workflow involving sequence classification, alignment, and consensus determination. By using Bayesian analysis with prior probability of expected plasmid construction error rate, high-confidence sequences can be obtained for each plasmid in the mixture. Plasmids differing by as little as two bases can be mixed for submission as a single sample for nanopore sequencing, and routine multiplexing of even six plasmids can still maintain high accuracy of consensus sequencing. SAVEMONEY should further democratize whole-plasmid sequencing by nanopore and related technologies, driving down the effective cost of whole-plasmid sequencing to lower than that of a single Sanger sequencing run.
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Affiliation(s)
- Masaaki Uematsu
- Weill Institute for Cell and Molecular Biology, Cornell University, Ithaca, NY, 14853, USA
| | - Jeremy M. Baskin
- Weill Institute for Cell and Molecular Biology, Cornell University, Ithaca, NY, 14853, USA
- Department of Chemistry and Chemical Biology, Cornell University, Ithaca, NY 14853, USA
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25
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Brown SD, Dreolini L, Wilson JF, Balasundaram M, Holt RA. Complete sequence verification of plasmid DNA using the Oxford Nanopore Technologies' MinION device. BMC Bioinformatics 2023; 24:116. [PMID: 36964503 PMCID: PMC10039527 DOI: 10.1186/s12859-023-05226-y] [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: 11/09/2022] [Accepted: 03/11/2023] [Indexed: 03/26/2023] Open
Abstract
BACKGROUND Sequence verification is essential for plasmids used as critical reagents or therapeutic products. Typically, high-quality plasmid sequence is achieved through capillary-based Sanger sequencing, requiring customized sets of primers for each plasmid. This process can become expensive, particularly for applications where the validated sequence needs to be produced within a regulated and quality-controlled environment for downstream clinical research applications. RESULTS Here, we describe a cost-effective and accurate plasmid sequencing and consensus generation procedure using the Oxford Nanopore Technologies' MinION device as an alternative to capillary-based plasmid sequencing options. This procedure can verify the identity of a pure population of plasmid, either confirming it matches the known and expected sequence, or identifying mutations present in the plasmid if any exist. We use a full MinION flow cell per plasmid, maximizing available data and allowing for stringent quality filters. Pseudopairing reads for consensus base calling reduces read error rates from 5.3 to 0.53%, and our pileup consensus approach provides per-base counts and confidence scores, allowing for interpretation of the certainty of the resulting consensus sequences. For pure plasmid samples, we demonstrate 100% accuracy in the resulting consensus sequence, and the sensitivity to detect small mutations such as insertions, deletions, and single nucleotide variants. In test cases where the sequenced pool of plasmids contains subclonal templates, detection sensitivity is similar to that of traditional capillary sequencing. CONCLUSIONS Our pipeline can provide significant cost savings compared to outsourcing clinical-grade sequencing of plasmids, making generation of high-quality plasmid sequence for clinical sequence verification more accessible. While other long-read-based methods offer higher-throughput and less cost, our pipeline produces complete and accurate sequence verification for cases where absolute sequence accuracy is required.
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Affiliation(s)
- Scott D Brown
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Research Institute, 675 W 10th Ave, Vancouver, BC, V5Z 1L3, Canada
| | - Lisa Dreolini
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Research Institute, 675 W 10th Ave, Vancouver, BC, V5Z 1L3, Canada
| | - Jessica F Wilson
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Research Institute, 675 W 10th Ave, Vancouver, BC, V5Z 1L3, Canada
| | - Miruna Balasundaram
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Research Institute, 675 W 10th Ave, Vancouver, BC, V5Z 1L3, Canada
| | - Robert A Holt
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Research Institute, 675 W 10th Ave, Vancouver, BC, V5Z 1L3, Canada.
- Department of Molecular Biology and Biochemistry, Simon Fraser University, SSB8166 - 8888 University Drive, Burnaby, BC, V5A 1S6, Canada.
- Department of Medical Genetics, University of British Columbia, C201 - 4500 Oak Street, 675 W 10th Ave, Vancouver, BC, V6H 3N1, Canada.
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26
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Liu Z, Yang Y, Wang Q, Wang L, Nie W, Chu N. Diagnostic value of a nanopore sequencing assay of bronchoalveolar lavage fluid in pulmonary tuberculosis. BMC Pulm Med 2023; 23:77. [PMID: 36890507 PMCID: PMC9996878 DOI: 10.1186/s12890-023-02337-3] [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: 07/31/2022] [Accepted: 01/23/2023] [Indexed: 03/10/2023] Open
Abstract
BACKGROUND To determine the diagnostic accuracy of a nanopore sequencing assay of PCR products from a M. tuberculosis complex-specific region for testing of bronchoalveolar lavage fluid (BALF) samples or sputum samples from suspected pulmonary tuberculosis (PTB) patients and compare the results to results obtained for MGIT and Xpert assays. METHODS Cases with suspected PTB (n = 55) were diagnosed from January 2019 to December 2021 based on results of nanopore sequencing, MGIT culture, and Xpert MTB/RIF testing of BALF and sputum samples collected during hospitalization. Diagnostic accuracies of assays were compared. RESULTS Ultimately, data from 29 PTB patients and 26 non-PTB cases were analyzed. PTB diagnostic sensitivities of MGIT, Xpert MTB/RIF, and nanopore sequencing assays were 48.28%, 41.38%, and 75.86%, respectively, thus demonstrating that nanopore sequencing provided greater sensitivity than was provided by MGIT culture and Xpert assays (P < 0.05). PTB diagnostic specificities of the respective assays were 65.38%, 100%, and 80.77%, which corresponded with kappa coefficient (κ) values of 0.14, 0.40, and 0.56, respectively. These results indicate that nanopore sequencing provided superior overall performance as compared to Xpert and MGIT culture assays and provided significantly greater PTB diagnostic accuracy than Xpert and sensitivity comparable to that of the MGIT culture assay. CONCLUSION Our findings suggest that improved detection of PTB in suspected cases was achieved using nanopore sequencing-based testing of BALF or sputum samples than was achieved using Xpert and MGIT culture-based assays, and nanopore sequencing results alone cannot be used to rule out PTB.
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Affiliation(s)
- Zhifeng Liu
- Beijing Emercency Mecial Center, Beijing, 100031, People's Republic of China
| | - Yang Yang
- Tuberculosis Department, Beijing Chest Hospital Affiliated to Capital Medical University, No 9, Beiguan Street, Tongzhou District, Beijing, 101149, People's Republic of China
| | - Qingfeng Wang
- Tuberculosis Department, Beijing Chest Hospital Affiliated to Capital Medical University, No 9, Beiguan Street, Tongzhou District, Beijing, 101149, People's Republic of China
| | - Lei Wang
- Tuberculosis Department, Dezhou Second People's Hospital, Textile Street, Canal Economic Development Zone, Dezhou, 253007, People's Republic of China
| | - Wenjuan Nie
- Tuberculosis Department, Beijing Chest Hospital Affiliated to Capital Medical University, No 9, Beiguan Street, Tongzhou District, Beijing, 101149, People's Republic of China.
| | - Naihui Chu
- Tuberculosis Department, Beijing Chest Hospital Affiliated to Capital Medical University, No 9, Beiguan Street, Tongzhou District, Beijing, 101149, People's Republic of China.
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Assembling Quality Genomes of Flax Fungal Pathogens from Oxford Nanopore Technologies Data. J Fungi (Basel) 2023; 9:jof9030301. [PMID: 36983469 PMCID: PMC10055923 DOI: 10.3390/jof9030301] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 02/22/2023] [Accepted: 02/23/2023] [Indexed: 03/03/2023] Open
Abstract
Flax (Linum usitatissimum L.) is attacked by numerous devastating fungal pathogens, including Colletotrichum lini, Aureobasidium pullulans, and Fusarium verticillioides (Fusarium moniliforme). The effective control of flax diseases follows the paradigm of extensive molecular research on pathogenicity. However, such studies require quality genome sequences of the studied organisms. This article reports on the approaches to assembling a high-quality fungal genome from the Oxford Nanopore Technologies data. We sequenced the genomes of C. lini, A. pullulans, and F. verticillioides (F. moniliforme) and received different volumes of sequencing data: 1.7 Gb, 3.9 Gb, and 11.1 Gb, respectively. To obtain the optimal genome sequences, we studied the effect of input data quality and genome coverage on assembly statistics and tested the performance of different assembling and polishing software. For C. lini, the most contiguous and complete assembly was obtained by the Flye assembler and the Homopolish polisher. The genome coverage had more effect than data quality on assembly statistics, likely due to the relatively low amount of sequencing data obtained for C. lini. The final assembly was 53.4 Mb long and 96.4% complete (according to the glomerellales_odb10 BUSCO dataset), consisted of 42 contigs, and had an N50 of 4.4 Mb. For A. pullulans and F. verticillioides (F. moniliforme), the best assemblies were produced by Canu–Medaka and Canu–Homopolish, respectively. The final assembly of A. pullulans had a length of 29.5 Mb, 99.4% completeness (dothideomycetes_odb10), an N50 of 2.4 Mb and consisted of 32 contigs. F. verticillioides (F. moniliforme) assembly was 44.1 Mb long, 97.8% complete (hypocreales_odb10), consisted of 54 contigs, and had an N50 of 4.4 Mb. The obtained results can serve as a guideline for assembling a de novo genome of a fungus. In addition, our data can be used in genomic studies of fungal pathogens or plant–pathogen interactions and assist in the management of flax diseases.
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Klair D, Dobhal S, Ahmad A, Hassan ZU, Uyeda J, Silva J, Wang KH, Kim S, Alvarez AM, Arif M. Exploring taxonomic and functional microbiome of Hawaiian stream and spring irrigation water systems using Illumina and Oxford Nanopore sequencing platforms. Front Microbiol 2023; 14:1039292. [PMID: 36876060 PMCID: PMC9981659 DOI: 10.3389/fmicb.2023.1039292] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Accepted: 01/16/2023] [Indexed: 02/19/2023] Open
Abstract
Irrigation water is a common source of contamination that carries plant and foodborne human pathogens and provides a niche for proliferation and survival of microbes in agricultural settings. Bacterial communities and their functions in irrigation water were investigated by analyzing samples from wetland taro farms on Oahu, Hawaii using different DNA sequencing platforms. Irrigation water samples (stream, spring, and storage tank water) were collected from North, East, and West sides of Oahu and subjected to high quality DNA isolation, library preparation and sequencing of the V3-V4 region, full length 16S rRNA, and shotgun metagenome sequencing using Illumina iSeq100, Oxford Nanopore MinION and Illumina NovaSeq, respectively. Illumina reads provided the most comprehensive taxonomic classification at the phylum level where Proteobacteria was identified as the most abundant phylum in the stream source and associated water samples from wetland taro fields. Cyanobacteria was also a dominant phylum in samples from tank and spring water, whereas Bacteroidetes were most abundant in wetland taro fields irrigated with spring water. However, over 50% of the valid short amplicon reads remained unclassified and inconclusive at the species level. In contrast, Oxford Nanopore MinION was a better choice for microbe classification at the genus and species levels as indicated by samples sequenced for full length 16S rRNA. No reliable taxonomic classification results were obtained while using shotgun metagenome data. In functional analyzes, only 12% of the genes were shared by two consortia and 95 antibiotic resistant genes (ARGs) were detected with variable relative abundance. Full descriptions of microbial communities and their functions are essential for the development of better water management strategies aimed to produce safer fresh produce and to protect plant, animal, human and environmental health. Quantitative comparisons illustrated the importance of selecting the appropriate analytical method depending on the level of taxonomic delineation sought in each microbiome.
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Affiliation(s)
- Diksha Klair
- Department of Plant and Environmental Protection Sciences, University of Hawaii at Manoa, Honolulu, HI, United States
| | - Shefali Dobhal
- Department of Plant and Environmental Protection Sciences, University of Hawaii at Manoa, Honolulu, HI, United States
| | - Amjad Ahmad
- Department of Tropical Plant and Soil Sciences, University of Hawaii at Manoa, Honolulu, HI, United States
| | - Zohaib Ul Hassan
- Group for Biometrology, Korea Research Institute of Standards and Science (KRISS), Daejeon, Republic of Korea
- Convergent Research Center for Emerging Virus Infection, Korea Research Institute of Chemical Technology (KRICT), Daejeon, Republic of Korea
- Department of Bio-Medical Measurement, University of Science and Technology (UST), Daejeon, Republic of Korea
| | - Jensen Uyeda
- Department of Tropical Plant and Soil Sciences, University of Hawaii at Manoa, Honolulu, HI, United States
| | - Joshua Silva
- Department of Tropical Plant and Soil Sciences, University of Hawaii at Manoa, Honolulu, HI, United States
| | - Koon-Hui Wang
- Department of Plant and Environmental Protection Sciences, University of Hawaii at Manoa, Honolulu, HI, United States
| | - Seil Kim
- Group for Biometrology, Korea Research Institute of Standards and Science (KRISS), Daejeon, Republic of Korea
- Convergent Research Center for Emerging Virus Infection, Korea Research Institute of Chemical Technology (KRICT), Daejeon, Republic of Korea
- Department of Bio-Medical Measurement, University of Science and Technology (UST), Daejeon, Republic of Korea
| | - Anne M. Alvarez
- Department of Plant and Environmental Protection Sciences, University of Hawaii at Manoa, Honolulu, HI, United States
| | - Mohammad Arif
- Department of Plant and Environmental Protection Sciences, University of Hawaii at Manoa, Honolulu, HI, United States
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29
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Xiao X, Liu S, Deng H, Song Y, Zhang L, Song Z. Advances in the oral microbiota and rapid detection of oral infectious diseases. Front Microbiol 2023; 14:1121737. [PMID: 36814562 PMCID: PMC9939651 DOI: 10.3389/fmicb.2023.1121737] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Accepted: 01/13/2023] [Indexed: 02/09/2023] Open
Abstract
Several studies have shown that the dysregulation of the oral microbiota plays a crucial role in human health conditions, such as dental caries, periodontal disease, oral cancer, other oral infectious diseases, cardiovascular diseases, diabetes, bacteremia, and low birth weight. The use of traditional detection methods in conjunction with rapidly advancing molecular techniques in the diagnosis of harmful oral microorganisms has expanded our understanding of the diversity, location, and function of the microbiota associated with health and disease. This review aimed to highlight the latest knowledge in this field, including microbial colonization; the most modern detection methods; and interactions in disease progression. The next decade may achieve the rapid diagnosis and precise treatment of harmful oral microorganisms.
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Affiliation(s)
- Xuan Xiao
- Department of Oral Mucosa, Shanghai Stomatological Hospital, Fudan University, Shanghai, China,Shanghai Key Laboratory of Craniomaxillofacial Development and Diseases, Shanghai Stomatological Hospital, Fudan University, Shanghai, China
| | - Shangfeng Liu
- Shanghai Key Laboratory of Craniomaxillofacial Development and Diseases, Shanghai Stomatological Hospital, Fudan University, Shanghai, China
| | - Hua Deng
- Translational Medicine Center, Guangdong Women and Children Hospital, Guangzhou, China
| | - Yuhan Song
- Department of Oral Mucosa, Shanghai Stomatological Hospital, Fudan University, Shanghai, China,Shanghai Key Laboratory of Craniomaxillofacial Development and Diseases, Shanghai Stomatological Hospital, Fudan University, Shanghai, China
| | - Liang Zhang
- Translational Medicine Center, Guangdong Women and Children Hospital, Guangzhou, China,Liang Zhang,
| | - Zhifeng Song
- Department of Oral Mucosa, Shanghai Stomatological Hospital, Fudan University, Shanghai, China,Shanghai Key Laboratory of Craniomaxillofacial Development and Diseases, Shanghai Stomatological Hospital, Fudan University, Shanghai, China,*Correspondence: Zhifeng Song,
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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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Chaudhari HG, Prajapati S, Wardah ZH, Raol G, Prajapati V, Patel R, Shati AA, Alfaifi MY, Elbehairi SEI, Sayyed RZ. Decoding the microbial universe with metagenomics: a brief insight. Front Genet 2023; 14:1119740. [PMID: 37197021 PMCID: PMC10183756 DOI: 10.3389/fgene.2023.1119740] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 04/14/2023] [Indexed: 05/19/2023] Open
Abstract
A major part of any biological system on earth involves microorganisms, of which the majority are yet to be cultured. The conventional methods of culturing microbes have given fruitful outcomes yet have limitations. The curiosity for better understanding has led to the development of culture-independent molecular methods that help push aside the roadblocks of earlier methods. Metagenomics unifies the scientific community in search of a better understanding of the functioning of the ecosystem and its component organisms. This approach has opened a new paradigm in advanced research. It has brought to light the vast diversity and novelty among microbial communities and their genomes. This review focuses on the development of this field over time, the techniques and analysis of data generated through sequencing platforms, and its prominent interpretation and representation.
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Affiliation(s)
- Hiral G. Chaudhari
- Shri Alpesh N. Patel PG Institute of Science and Research, Sardar Patel University, Anand, Gujarat, India
| | - Shobha Prajapati
- Department of Biosciences, Veer Narmad South Gujarat University, Surat, Gujarat, India
| | - Zuhour Hussein Wardah
- Shri Alpesh N. Patel PG Institute of Science and Research, Sardar Patel University, Anand, Gujarat, India
| | - Gopal Raol
- Shri R. P. Arts, Shri K.B. Commerce, and Smt. BCJ Science College, Khambhat, Gujarat, India
| | - Vimalkumar Prajapati
- Division of Microbial and Environmental Biotechnology, Aspee Shakilam Biotechnology Institute, Navsari Agricultural University, Surat, Gujarat, India
- *Correspondence: Vimalkumar Prajapati,
| | - Rajesh Patel
- Department of Biosciences, Veer Narmad South Gujarat University, Surat, Gujarat, India
| | - Ali A. Shati
- Biology Department, Faculty of Science, King Khalid University, Abha, Saudi Arabia
| | - Mohammad Y. Alfaifi
- Biology Department, Faculty of Science, King Khalid University, Abha, Saudi Arabia
| | | | - R. Z. Sayyed
- Department of Microbiology, PSGVP Mandal's S I Patil Arts, G B Patel Science and STKV Sangh Commerce College, Shahada, India
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Capraru ID, Romanescu M, Anghel FM, Oancea C, Marian C, Sirbu IO, Chis AR, Ciordas PD. Identification of Genomic Variants of SARS-CoV-2 Using Nanopore Sequencing. MEDICINA (KAUNAS, LITHUANIA) 2022; 58:medicina58121841. [PMID: 36557043 PMCID: PMC9788413 DOI: 10.3390/medicina58121841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 12/11/2022] [Accepted: 12/13/2022] [Indexed: 12/23/2022]
Abstract
Background and Objectives: SARS-CoV-2 is the first global threat and life-changing event of the twenty-first century. Although efficient treatments and vaccines have been developed, due to the virus's ability to mutate in key regions of the genome, whole viral genome sequencing is needed for efficient monitoring, evaluation of the spread, and even the adjustment of the molecular diagnostic assays. Materials and Methods: In this study, Nanopore and Ion Torrent sequencing technologies were used to detect the main SARS-CoV-2 circulating strains in Timis County, Romania, between February 2021 and May 2022. Results: We identified 22 virus lineages belonging to seven clades: 20A, 20I (Alpha, V1), 21B (Kappa), 21I (Delta), 21J (Delta), 21K (Omicron), and 21L (Omicron). Conclusions: Results obtained with both methods are comparable, and we confirm the utility of Nanopore sequencing in large-scale epidemiological surveillance due to the lower cost and reduced time for library preparation.
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Affiliation(s)
- Ionut Dragos Capraru
- Discipline of Epidemiology, “Victor Babes” University of Medicine and Pharmacy, 300041 Timișoara, Romania
- Doctoral School, “Victor Babes” University of Medicine and Pharmacy, 300041 Timișoara, Romania
- Public Health Authority Timiș County, 300029 Timișoara, Romania
| | - Mirabela Romanescu
- Doctoral School, “Victor Babes” University of Medicine and Pharmacy, 300041 Timișoara, Romania
- Discipline of Biochemistry, “Victor Babes” University of Medicine and Pharmacy, 300041 Timișoara, Romania
- Center for Complex Network Science, “Victor Babes” University of Medicine and Pharmacy, 300041 Timişoara, Romania
| | - Flavia Medana Anghel
- Doctoral School, “Victor Babes” University of Medicine and Pharmacy, 300041 Timișoara, Romania
- Discipline of Biochemistry, “Victor Babes” University of Medicine and Pharmacy, 300041 Timișoara, Romania
| | - Cristian Oancea
- Discipline of Pulmonology, “Victor Babes” University of Medicine and Pharmacy, 300041 Timișoara, Romania
| | - Catalin Marian
- Discipline of Biochemistry, “Victor Babes” University of Medicine and Pharmacy, 300041 Timișoara, Romania
- Center for Complex Network Science, “Victor Babes” University of Medicine and Pharmacy, 300041 Timişoara, Romania
| | - Ioan Ovidiu Sirbu
- Discipline of Biochemistry, “Victor Babes” University of Medicine and Pharmacy, 300041 Timișoara, Romania
- Center for Complex Network Science, “Victor Babes” University of Medicine and Pharmacy, 300041 Timişoara, Romania
| | - Aimee Rodica Chis
- Discipline of Biochemistry, “Victor Babes” University of Medicine and Pharmacy, 300041 Timișoara, Romania
- Center for Complex Network Science, “Victor Babes” University of Medicine and Pharmacy, 300041 Timişoara, Romania
- Correspondence:
| | - Paula Diana Ciordas
- Doctoral School, “Victor Babes” University of Medicine and Pharmacy, 300041 Timișoara, Romania
- Discipline of Biochemistry, “Victor Babes” University of Medicine and Pharmacy, 300041 Timișoara, Romania
- Center for Complex Network Science, “Victor Babes” University of Medicine and Pharmacy, 300041 Timişoara, Romania
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Mitochondrial DNA sequences and transcriptomic profiles for elucidating the genetic underpinnings of cisplatin responsiveness in oral squamous cell carcinoma. BMC Genom Data 2022; 23:47. [PMID: 35729497 PMCID: PMC9210765 DOI: 10.1186/s12863-022-01062-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Accepted: 06/11/2022] [Indexed: 11/24/2022] Open
Abstract
Objectives Functional genetic variation plays an important role in predicting patients’ response to chemotherapeutic agents. A growing catalogue of mitochondrial DNA (mtDNA) alterations in various cancers point to their important roles in altering the drug responsiveness and survival of cancer cells. In this work, we report the mtDNA sequences, obtained using a nanopore sequencer that can directly sequence unamplified DNA, and the transcriptomes of oral squamous cell carcinoma (OSCC) cell lines with differing responses to cisplatin, to explore the interplay between mtDNA alterations, epigenetic regulation of gene expression, and cisplatin response in OSCC. Data description Two human OSCC cell lines, namely H103 and SAS, and drug-resistant stem-like cells derived from SAS were used in this work. To validate our hypothesis that cisplatin sensitivity is linked to mtDNA changes, we sequenced their mtDNA using a nanopore sequencer, MinION. We also obtained the whole transcriptomic profiles of the cells from a microarray analysis. The mtDNA mutational and whole transcriptomic profiles that we provide can be used alongside other similar datasets to facilitate the identification of new markers of cisplatin sensitivity, and therefore the development of effective therapies for OSCC.
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Hu QL, Ye YX, Zhuo JC, Huang HJ, Li JM, Zhang CX. Chromosome-level Assembly, Dosage Compensation and Sex-biased Gene Expression in the Small Brown Planthopper, Laodelphax striatellus. Genome Biol Evol 2022; 14:evac160. [PMID: 36317697 PMCID: PMC9651030 DOI: 10.1093/gbe/evac160] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/22/2022] [Indexed: 01/19/2024] Open
Abstract
In insects, sex chromosome differentiation often results in unequal gene dosages between sexes. Dosage compensation mechanisms evolve to balance gene expression, but the degree and mechanism of regulation often vary by insect species. In hemipteran species, the small brown planthopper (SBPH), Laodelphax striatellus, is an injurious crop pest, with a sex chromosome type XX in females and XO in males. This species offers the opportunity to study dosage compensation and sex-biased gene expression. In this study, we generated a chromosome-level genome of SBPH using Oxford Nanopore Technologies and high-throughput chromatin conformation capture (Hi-C) technology. We also sequenced RNA-seq data from 16 tissue samples to annotate the genome and analyze gene dosage compensation. We finally obtained a 510.2 megabases (Mb) genome with 99.12% of the scaffolds anchored on 15 chromosomes (14 autosomes and 1 X chromosome) and annotated 16,160 protein-coding genes based on full-length cDNA sequencing data. Furthermore, we found complete dosage compensation in all L. striatellus somatic tissues, but lack of dosage compensation in gonad tissue testis. We also found that female-biased genes were significantly enriched on the X chromosome in all tissues, whereas male-biased genes in gonad tissues were enriched on autosomes. This study not only provides a high-quality genome assembly but also lays a foundation for a better understanding of the sexual regulatory network in hemipteran insects.
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Affiliation(s)
- Qing-Ling Hu
- Institute of Insect Science, Zhejiang University, Hangzhou 310058, China
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Key Laboratory of Biotechnology in Plant Protection of Ministry of Agriculture and Zhejiang Province, Institute of Plant Virology, Ningbo University, Ningbo 315211, China
| | - Yu-Xuan Ye
- Institute of Insect Science, Zhejiang University, Hangzhou 310058, China
| | - Ji-Chong Zhuo
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Key Laboratory of Biotechnology in Plant Protection of Ministry of Agriculture and Zhejiang Province, Institute of Plant Virology, Ningbo University, Ningbo 315211, China
| | - Hai-Jian Huang
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Key Laboratory of Biotechnology in Plant Protection of Ministry of Agriculture and Zhejiang Province, Institute of Plant Virology, Ningbo University, Ningbo 315211, China
| | - Jun-Min Li
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Key Laboratory of Biotechnology in Plant Protection of Ministry of Agriculture and Zhejiang Province, Institute of Plant Virology, Ningbo University, Ningbo 315211, China
| | - Chuan-Xi Zhang
- Institute of Insect Science, Zhejiang University, Hangzhou 310058, China
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Key Laboratory of Biotechnology in Plant Protection of Ministry of Agriculture and Zhejiang Province, Institute of Plant Virology, Ningbo University, Ningbo 315211, China
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Tounsi WA, Lenis VP, Tammi SM, Sainio S, Haimila K, Avent ND, Madgett TE. Rh Blood Group D Antigen Genotyping Using a Portable Nanopore-based Sequencing Device: Proof of Principle. Clin Chem 2022; 68:1196-1201. [PMID: 35652461 DOI: 10.1093/clinchem/hvac075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Accepted: 04/13/2022] [Indexed: 11/12/2022]
Abstract
BACKGROUND Nanopore sequencing is direct sequencing of a single-stranded DNA molecule using biological pores. A portable nanopore-based sequencing device from Oxford Nanopore Technologies (MinION) depends on driving a DNA molecule through nanopores embedded in a membrane using a voltage. Changes in current are then measured by a sensor, thousands of times per second and translated to nucleobases. METHODS Genomic DNA (gDNA) samples (n = 13) were tested for Rh blood group D antigen (RHD) gene zygosity using droplet digital PCR. The RHD gene was amplified in 6 overlapping amplicons using long-range PCR. Amplicons were purified, and the sequencing library was prepared following the 1D Native barcoding gDNA protocol. Sequencing was carried out with 1D flow cells R9 version. Data analysis included basecalling, aligning to the RHD reference sequence, and calling variants. Variants detected were compared to the results acquired previously by the Ion Personal Genome Machine (Ion PGM). RESULTS Up to 500× sequence coverage across the RHD gene allowed accurate variant calling. Exonic changes in the RHD gene allowed RHD allele determination for all samples sequenced except 1 RHD homozygous sample, where 2 heterozygous RHD variant alleles are suspected. There were 3 known variant RHD alleles (RHD*01W.02, RHD*11, and RHD*15) and 6 novel RHD variant alleles, as previously seen in Ion PGM sequencing data for these samples. CONCLUSIONS MinION was effective in blood group genotyping, provided enough sequencing data to achieve high coverage of the RHD gene, and enabled confident calling of variants and RHD allele determination.
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Affiliation(s)
- Wajnat A Tounsi
- Faculty of Applied Medical Sciences, Department of Medical Laboratory Sciences, King Abdulaziz University, Jeddah, Saudi Arabia
- School of Biomedical Sciences, Faculty of Health, University of Plymouth, Plymouth, UK
| | - Vasileios P Lenis
- School of Biomedical Sciences, Faculty of Health, University of Plymouth, Plymouth, UK
- School of Health and Life Sciences, Teesside University, Middlesbrough, Tees Valley, UK
| | - Silja M Tammi
- Research and Development, Finnish Red Cross Blood Service, Helsinki, Finland
| | - Susanna Sainio
- Blood Group Unit, Finnish Red Cross Blood Service, Helsinki, Finland
| | - Katri Haimila
- Blood Group Unit, Finnish Red Cross Blood Service, Helsinki, Finland
| | - Neil D Avent
- School of Biomedical Sciences, Faculty of Health, University of Plymouth, Plymouth, UK
| | - Tracey E Madgett
- School of Biomedical Sciences, Faculty of Health, University of Plymouth, Plymouth, UK
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Osek J, Lachtara B, Wieczorek K. Listeria monocytogenes in foods-From culture identification to whole-genome characteristics. Food Sci Nutr 2022; 10:2825-2854. [PMID: 36171778 PMCID: PMC9469866 DOI: 10.1002/fsn3.2910] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 04/06/2022] [Accepted: 04/19/2022] [Indexed: 12/03/2022] Open
Abstract
Listeria monocytogenes is an important foodborne pathogen, which is able to persist in the food production environments. The presence of these bacteria in different niches makes them a potential threat for public health. In the present review, the current information on the classical and alternative methods used for isolation and identification of L. monocytogenes in food have been described. Although these techniques are usually simple, standardized, inexpensive, and are routinely used in many food testing laboratories, several alternative molecular-based approaches for the bacteria detection in food and food production environments have been developed. They are characterized by the high sample throughput, a short time of analysis, and cost-effectiveness. However, these methods are important for the routine testing toward the presence and number of L. monocytogenes, but are not suitable for characteristics and typing of the bacterial isolates, which are crucial in the study of listeriosis infections. For these purposes, novel approaches, with a high discriminatory power to genetically distinguish the strains during epidemiological studies, have been developed, e.g., whole-genome sequence-based techniques such as NGS which provide an opportunity to perform comparison between strains of the same species. In the present review, we have shown a short description of the principles of microbiological, alternative, and modern methods of detection of L. monocytogenes in foods and characterization of the isolates for epidemiological purposes. According to our knowledge, similar comprehensive papers on such subject have not been recently published, and we hope that the current review may be interesting for research communities.
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Affiliation(s)
- Jacek Osek
- Department of Hygiene of Food of Animal OriginNational Veterinary Research InstitutePuławyPoland
| | - Beata Lachtara
- Department of Hygiene of Food of Animal OriginNational Veterinary Research InstitutePuławyPoland
| | - Kinga Wieczorek
- Department of Hygiene of Food of Animal OriginNational Veterinary Research InstitutePuławyPoland
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Rabapane KJ, Ijoma GN, Matambo TS. Insufficiency in functional genomics studies, data, and applications: A case study of bio-prospecting research in ruminant microbiome. Front Genet 2022; 13:946449. [PMID: 36118848 PMCID: PMC9472250 DOI: 10.3389/fgene.2022.946449] [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: 05/17/2022] [Accepted: 07/21/2022] [Indexed: 12/02/2022] Open
Abstract
Over the last two decades, biotechnology has advanced at a rapid pace, propelled by the incorporation of bio-products into various aspects of pharmaceuticals, industry, and the environment. These developments have sparked interest in the bioprospecting of microorganisms and their products in a variety of niche environments. Furthermore, the use of omics technologies has greatly aided our analyses of environmental samples by elucidating the microbial ecological framework, biochemical pathways, and bio-products. However, the more often overemphasis on taxonomic identification in most research publications, as well as the data associated with such studies, is detrimental to immediate industrial and commercial applications. This review identifies several factors that contribute to the complexity of sequence data analysis as potential barriers to the pragmatic application of functional genomics, utilizing recent research on ruminants to demonstrate these limitations in the hopes of broadening our horizons and drawing attention to this gap in bioprospecting studies for other niche environments as well. The review also aims to emphasize the importance of routinely incorporating functional genomics into environmental metagenomics analyses in order to improve solutions that drive rapid industrial biocatalysis developments from derived outputs with the aim of achieving potential benefits in energy-use reduction and environmental considerations for current and future applications.
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Ahmed YW, Alemu BA, Bekele SA, Gizaw ST, Zerihun MF, Wabalo EK, Teklemariam MD, Mihrete TK, Hanurry EY, Amogne TG, Gebrehiwot AD, Berga TN, Haile EA, Edo DO, Alemu BD. Epigenetic tumor heterogeneity in the era of single-cell profiling with nanopore sequencing. Clin Epigenetics 2022; 14:107. [PMID: 36030244 PMCID: PMC9419648 DOI: 10.1186/s13148-022-01323-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Accepted: 08/12/2022] [Indexed: 11/29/2022] Open
Abstract
Nanopore sequencing has brought the technology to the next generation in the science of sequencing. This is achieved through research advancing on: pore efficiency, creating mechanisms to control DNA translocation, enhancing signal-to-noise ratio, and expanding to long-read ranges. Heterogeneity regarding epigenetics would be broad as mutations in the epigenome are sensitive to cause new challenges in cancer research. Epigenetic enzymes which catalyze DNA methylation and histone modification are dysregulated in cancer cells and cause numerous heterogeneous clones to evolve. Detection of this heterogeneity in these clones plays an indispensable role in the treatment of various cancer types. With single-cell profiling, the nanopore sequencing technology could provide a simple sequence at long reads and is expected to be used soon at the bedside or doctor's office. Here, we review the advancements of nanopore sequencing and its use in the detection of epigenetic heterogeneity in cancer.
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Affiliation(s)
- Yohannis Wondwosen Ahmed
- Department of Medical Biochemistry, School of Medicine, College of Health Sciences, Addis Ababa University, P.O. Box: 9086, Addis Ababa, Ethiopia.
| | - Berhan Ababaw Alemu
- Department of Medical Biochemistry, School of Medicine, St. Paul's Hospital, Millennium Medical College, Addis Ababa, Ethiopia
| | - Sisay Addisu Bekele
- Department of Medical Biochemistry, School of Medicine, College of Health Sciences, Addis Ababa University, P.O. Box: 9086, Addis Ababa, Ethiopia
| | - Solomon Tebeje Gizaw
- Department of Medical Biochemistry, School of Medicine, College of Health Sciences, Addis Ababa University, P.O. Box: 9086, Addis Ababa, Ethiopia
| | - Muluken Fekadie Zerihun
- Department of Medical Biochemistry, School of Medicine, College of Health Sciences, Addis Ababa University, P.O. Box: 9086, Addis Ababa, Ethiopia
| | - Endriyas Kelta Wabalo
- Department of Medical Biochemistry, School of Medicine, College of Health Sciences, Addis Ababa University, P.O. Box: 9086, Addis Ababa, Ethiopia
| | - Maria Degef Teklemariam
- Department of Medical Biochemistry, School of Medicine, College of Health Sciences, Addis Ababa University, P.O. Box: 9086, Addis Ababa, Ethiopia
| | - Tsehayneh Kelemu Mihrete
- Department of Medical Biochemistry, School of Medicine, College of Health Sciences, Addis Ababa University, P.O. Box: 9086, Addis Ababa, Ethiopia
| | - Endris Yibru Hanurry
- Department of Medical Biochemistry, School of Medicine, College of Health Sciences, Addis Ababa University, P.O. Box: 9086, Addis Ababa, Ethiopia
| | - Tensae Gebru Amogne
- Department of Medical Biochemistry, School of Medicine, College of Health Sciences, Addis Ababa University, P.O. Box: 9086, Addis Ababa, Ethiopia
| | - Assaye Desalegne Gebrehiwot
- Department of Medical Anatomy, School of Medicine, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Tamirat Nida Berga
- Department of Medical Biochemistry, School of Medicine, College of Health Sciences, Addis Ababa University, P.O. Box: 9086, Addis Ababa, Ethiopia
| | - Ebsitu Abate Haile
- Department of Medical Biochemistry, School of Medicine, College of Health Sciences, Addis Ababa University, P.O. Box: 9086, Addis Ababa, Ethiopia
| | - Dessiet Oma Edo
- Department of Medical Biochemistry, School of Medicine, College of Health Sciences, Addis Ababa University, P.O. Box: 9086, Addis Ababa, Ethiopia
| | - Bizuwork Derebew Alemu
- Department of Statistics, College of Natural and Computational Sciences, Mizan Tepi University, Tepi, Ethiopia
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Ogaji YO, Lee RC, Sawbridge TI, Cocks BG, Daetwyler HD, Kaur S. De Novo Long-Read Whole-Genome Assemblies and the Comparative Pan-Genome Analysis of Ascochyta Blight Pathogens Affecting Field Pea. J Fungi (Basel) 2022; 8:jof8080884. [PMID: 36012871 PMCID: PMC9410150 DOI: 10.3390/jof8080884] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Revised: 08/12/2022] [Accepted: 08/15/2022] [Indexed: 11/16/2022] Open
Abstract
Ascochyta Blight (AB) is a major disease of many cool-season legumes globally. In field pea, three fungal pathogens have been identified to be responsible for this disease in Australia, namely Peyronellaea pinodes, Peyronellaea pinodella and Phoma koolunga. Limited genomic resources for these pathogens have been generated, which has hampered the implementation of effective management strategies and breeding for resistant cultivars. Using Oxford Nanopore long-read sequencing, we report the first high-quality, fully annotated, near-chromosome-level nuclear and mitochondrial genome assemblies for 18 isolates from the Australian AB complex. Comparative genome analysis was performed to elucidate the differences and similarities between species and isolates using phylogenetic relationships and functional diversity. Our data indicated that P. pinodella and P. koolunga are heterothallic, while P. pinodes is homothallic. More homology and orthologous gene clusters are shared between P. pinodes and P. pinodella compared to P. koolunga. The analysis of the repetitive DNA content showed differences in the transposable repeat composition in the genomes and their expression in the transcriptomes. Significant repeat expansion in P. koolunga’s genome was seen, with strong repeat-induced point mutation (RIP) activity being evident. Phylogenetic analysis revealed that genetic diversity can be exploited for species marker development. This study provided the much-needed genetic resources and characterization of the AB species to further drive research in key areas such as disease epidemiology and host–pathogen interactions.
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Affiliation(s)
- Yvonne O. Ogaji
- Agriculture Victoria, AgriBio, Centre for AgriBioscience, 5 Ring Road, Melbourne, VIC 3083, Australia
- School of Applied Systems Biology, La Trobe University, Melbourne, VIC 3086, Australia
| | - Robert C. Lee
- Centre for Crop and Disease Management, School of Molecular and Life Sciences, Curtin University, Perth, WA 6102, Australia
| | - Tim I. Sawbridge
- Agriculture Victoria, AgriBio, Centre for AgriBioscience, 5 Ring Road, Melbourne, VIC 3083, Australia
- School of Applied Systems Biology, La Trobe University, Melbourne, VIC 3086, Australia
| | - Benjamin G. Cocks
- Agriculture Victoria, AgriBio, Centre for AgriBioscience, 5 Ring Road, Melbourne, VIC 3083, Australia
- School of Applied Systems Biology, La Trobe University, Melbourne, VIC 3086, Australia
| | - Hans D. Daetwyler
- Agriculture Victoria, AgriBio, Centre for AgriBioscience, 5 Ring Road, Melbourne, VIC 3083, Australia
- School of Applied Systems Biology, La Trobe University, Melbourne, VIC 3086, Australia
| | - Sukhjiwan Kaur
- Agriculture Victoria, AgriBio, Centre for AgriBioscience, 5 Ring Road, Melbourne, VIC 3083, Australia
- Correspondence:
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Sun K, Liu Y, Zhou X, Yin C, Zhang P, Yang Q, Mao L, Shentu X, Yu X. Nanopore sequencing technology and its application in plant virus diagnostics. Front Microbiol 2022; 13:939666. [PMID: 35958160 PMCID: PMC9358452 DOI: 10.3389/fmicb.2022.939666] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Accepted: 07/05/2022] [Indexed: 11/13/2022] Open
Abstract
Plant viruses threaten crop yield and quality; thus, efficient and accurate pathogen diagnostics are critical for crop disease management and control. Recent advances in sequencing technology have revolutionized plant virus research. Metagenomics sequencing technology, represented by next-generation sequencing (NGS), has greatly enhanced the development of virus diagnostics research because of its high sensitivity, high throughput and non-sequence dependence. However, NGS-based virus identification protocols are limited by their high cost, labor intensiveness, and bulky equipment. In recent years, Oxford Nanopore Technologies and advances in third-generation sequencing technology have enabled direct, real-time sequencing of long DNA or RNA reads. Oxford Nanopore Technologies exhibit versatility in plant virus detection through their portable sequencers and flexible data analyses, thus are wildly used in plant virus surveillance, identification of new viruses, viral genome assembly, and evolution research. In this review, we discuss the applications of nanopore sequencing in plant virus diagnostics, as well as their limitations.
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Affiliation(s)
- Kai Sun
- Zhejiang Provincial Key Laboratory of Biometrology and Inspection and Quarantine, College of Life Sciences, China Jiliang University, Hangzhou, China
| | - Yi Liu
- Zhejiang Provincial Key Laboratory of Biometrology and Inspection and Quarantine, College of Life Sciences, China Jiliang University, Hangzhou, China
| | - Xin Zhou
- Ausper Biopharma, Hangzhou, China
| | - Chuanlin Yin
- Zhejiang Provincial Key Laboratory of Biometrology and Inspection and Quarantine, College of Life Sciences, China Jiliang University, Hangzhou, China
| | - Pengjun Zhang
- Zhejiang Provincial Key Laboratory of Biometrology and Inspection and Quarantine, College of Life Sciences, China Jiliang University, Hangzhou, China
| | - Qianqian Yang
- Zhejiang Provincial Key Laboratory of Biometrology and Inspection and Quarantine, College of Life Sciences, China Jiliang University, Hangzhou, China
| | - Lingfeng Mao
- Hangzhou Baiyi Technology Co., Ltd., Hangzhou, China
| | - Xuping Shentu
- Zhejiang Provincial Key Laboratory of Biometrology and Inspection and Quarantine, College of Life Sciences, China Jiliang University, Hangzhou, China
- *Correspondence: Xuping Shentu,
| | - Xiaoping Yu
- Zhejiang Provincial Key Laboratory of Biometrology and Inspection and Quarantine, College of Life Sciences, China Jiliang University, Hangzhou, China
- Xiaoping Yu,
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Suprun EV, Budnikov HC. Bioelectrochemistry as a Field of Analysis: Historical Aspects and Current Status. JOURNAL OF ANALYTICAL CHEMISTRY 2022. [DOI: 10.1134/s1061934822060168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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Using deep learning to detect digitally encoded DNA trigger for Trojan malware in Bio-Cyber attacks. Sci Rep 2022; 12:9631. [PMID: 35688914 PMCID: PMC9186480 DOI: 10.1038/s41598-022-13700-5] [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: 02/25/2022] [Accepted: 05/26/2022] [Indexed: 11/08/2022] Open
Abstract
This article uses Deep Learning technologies to safeguard DNA sequencing against Bio-Cyber attacks. We consider a hybrid attack scenario where the payload is encoded into a DNA sequence to activate a Trojan malware implanted in a software tool used in the sequencing pipeline in order to allow the perpetrators to gain control over the resources used in that pipeline during sequence analysis. The scenario considered in the paper is based on perpetrators submitting synthetically engineered DNA samples that contain digitally encoded IP address and port number of the perpetrator's machine in the DNA. Genetic analysis of the sample's DNA will decode the address that is used by the software Trojan malware to activate and trigger a remote connection. This approach can open up to multiple perpetrators to create connections to hijack the DNA sequencing pipeline. As a way of hiding the data, the perpetrators can avoid detection by encoding the address to maximise similarity with genuine DNAs, which we showed previously. However, in this paper we show how Deep Learning can be used to successfully detect and identify the trigger encoded data, in order to protect a DNA sequencing pipeline from Trojan attacks. The result shows nearly up to 100% accuracy in detection in such a novel Trojan attack scenario even after applying fragmentation encryption and steganography on the encoded trigger data. In addition, feasibility of designing and synthesizing encoded DNA for such Trojan payloads is validated by a wet lab experiment.
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Oxford Nanopore Sequencing Reveals an Exotic Broad bean mottle virus Genome within Australian Grains Post-Entry Quarantine. Microbiol Resour Announc 2022; 11:e0021122. [PMID: 35638856 PMCID: PMC9302060 DOI: 10.1128/mra.00211-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
A Broad bean mottle virus (BBMV) isolate (S52) obtained from an infected Vicia faba leaf sample from Syria was sequenced using Oxford Nanopore long-read sequencing at the Australian border. The genome had 95.6%, 98.2%, and 93.4% nucleotide sequence identity to BBMV strains RNA1 (Bawden), RNA2 (Mo), and RNA3 (Bawden).
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M Sandin M, Romac S, Not F. Intra-genomic rRNA gene variability of Nassellaria and Spumellaria (Rhizaria, Radiolaria) assessed by Sanger, MinION and Illumina sequencing. Environ Microbiol 2022; 24:2979-2993. [PMID: 35621046 PMCID: PMC9545545 DOI: 10.1111/1462-2920.16081] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Revised: 05/18/2022] [Accepted: 05/20/2022] [Indexed: 12/01/2022]
Abstract
Ribosomal RNA (rRNA) genes are known to be valuable markers for the barcoding of eukaryotic life and its phylogenetic classification at various taxonomic levels. The large-scale exploration of environmental microbial diversity through metabarcoding approaches have been focused mainly on the V4 and V9 regions of the 18S rRNA gene. The accurate interpretation of such environmental surveys is hampered by technical (e.g., PCR and sequencing errors) and biological biases (e.g., intra-genomic variability). Here we explored the intra-genomic diversity of Nassellaria and Spumellaria specimens (Radiolaria) by comparing Sanger sequencing with Illumina and Oxford Nanopore Technologies (MinION). Our analysis determined that intra-genomic variability of Nassellaria and Spumellaria is generally low, yet some Spumellaria specimens showed two different copies of the V4 with <97% similarity. From the different sequencing methods, Illumina showed the highest number of contaminations (i.e., environmental DNA, cross-contamination, tag-jumping), revealed by its high sequencing depth; and MinION showed the highest sequencing rate error (~14%). Yet the long reads produced by MinION (~2900 bp) allowed accurate phylogenetic reconstruction studies. These results highlight the requirement for a careful interpretation of Illumina based metabarcoding studies, in particular regarding low abundant amplicons, and open future perspectives towards full-length rDNA environmental metabarcoding surveys.
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Affiliation(s)
- Miguel M Sandin
- Sorbonne University, CNRS - UMR7144 - Ecology of Marine Plankton Group - Station Biologique de Roscoff, Roscoff, France.,Department of Organismal Biology (Systematic Biology), Uppsala University, Norbyv. 18D, Uppsala, Sweden
| | - Sarah Romac
- Sorbonne University, CNRS - UMR7144 - Ecology of Marine Plankton Group - Station Biologique de Roscoff, Roscoff, France
| | - Fabrice Not
- Sorbonne University, CNRS - UMR7144 - Ecology of Marine Plankton Group - Station Biologique de Roscoff, Roscoff, France
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Wang L, Zhang J, Peng D, Tian Y, Zhao D, Ni W, Long J, Li J, Zeng Y, Wu Z, Tang Y, Wang Z. High-Quality Genome Assembly of Olea europaea subsp. cuspidata Provides Insights Into Its Resistance to Fungal Diseases in the Summer Rain Belt in East Asia. FRONTIERS IN PLANT SCIENCE 2022; 13:879822. [PMID: 35656016 PMCID: PMC9152427 DOI: 10.3389/fpls.2022.879822] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/20/2022] [Accepted: 03/14/2022] [Indexed: 06/15/2023]
Abstract
The olive tree (Olea europaea L.) is the most iconic fruit crop of the Mediterranean Basin. Since the plant was introduced to China in the 1960s, the summer rain climate makes it susceptible to pathogens, leading to some olive diseases. Olea europaea L. subsp. cuspidata is natively distributed in the Yunnan province of China. It has a smaller fruit size, lower oil content, and higher resistance compared to subsp. europaea, which makes subsp. cuspidata a critical germplasm resource to be investigated. Here, a high-quality genome of subsp. cuspidata with 1.38 Gb in size was assembled and anchored onto 23 pseudochromosomes with a mounting rate of 85.57%. It represents 96.6% completeness [benchmarking universal single-copy orthologs (BUSCO)] with a contig N50 of 14.72 Mb and a scaffold N50 of 52.68 Mb, which shows a significant improvement compared with other olive genomes assembled. The evaluation of the genome assembly showed that 92.31% of resequencing reads and an average of 96.52% of assembled transcripts could be aligned to the assembled genome. We found that a positively selected gene, evm.model.Chr16.1133, was shared with the results of transcriptome analysis. This gene belongs to the susceptible gene and negatively regulates the disease resistance process. Furthermore, we identified the Cercospora genus which causes the leaf spot disease in the infected leaves. The high-quality chromosome-level genomic information presented here may facilitate the conservation and utilization of germplasm resources of this subspecies and provide an essential genetic basis for further research into the differences in oil content and resistance between subsp. cuspidata and europaea.
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Affiliation(s)
- Li Wang
- Key Laboratory of Silviculture of the State Forestry Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, China
| | - Jianguo Zhang
- Key Laboratory of Silviculture of the State Forestry Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, China
- Collaborative Innovation Center of Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, China
| | - Dan Peng
- Kunpeng Institute of Modern Agriculture at Foshan, Foshan, China
| | - Yang Tian
- Key Laboratory of Silviculture of the State Forestry Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, China
| | - Dandan Zhao
- Key Laboratory of Silviculture of the State Forestry Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, China
| | - Wanning Ni
- Key Laboratory of Silviculture of the State Forestry Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, China
| | - Jinhua Long
- Key Laboratory of Silviculture of the State Forestry Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, China
| | - Jinhua Li
- Key Laboratory of Silviculture of the State Forestry Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, China
| | - Yanfei Zeng
- Key Laboratory of Silviculture of the State Forestry Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, China
- Collaborative Innovation Center of Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, China
| | - Zhiqiang Wu
- Kunpeng Institute of Modern Agriculture at Foshan, Foshan, China
| | - Yiyun Tang
- Ecological Restoration and Industrial Development Workstation, Nujiang State Forestry and Grassland Bureau of Yunnan Province, Kunming, China
| | - Zhaoshan Wang
- Key Laboratory of Silviculture of the State Forestry Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, China
- Collaborative Innovation Center of Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, China
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Wei ZG, Fan XG, Zhang H, Zhang XD, Liu F, Qian Y, Zhang SW. kngMap: Sensitive and Fast Mapping Algorithm for Noisy Long Reads Based on the K-Mer Neighborhood Graph. Front Genet 2022; 13:890651. [PMID: 35601495 PMCID: PMC9117619 DOI: 10.3389/fgene.2022.890651] [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: 03/06/2022] [Accepted: 04/07/2022] [Indexed: 11/13/2022] Open
Abstract
With the rapid development of single molecular sequencing (SMS) technologies such as PacBio single-molecule real-time and Oxford Nanopore sequencing, the output read length is continuously increasing, which has dramatical potentials on cutting-edge genomic applications. Mapping these reads to a reference genome is often the most fundamental and computing-intensive step for downstream analysis. However, these long reads contain higher sequencing errors and could more frequently span the breakpoints of structural variants (SVs) than those of shorter reads, leading to many unaligned reads or reads that are partially aligned for most state-of-the-art mappers. As a result, these methods usually focus on producing local mapping results for the query read rather than obtaining the whole end-to-end alignment. We introduce kngMap, a novel k-mer neighborhood graph-based mapper that is specifically designed to align long noisy SMS reads to a reference sequence. By benchmarking exhaustive experiments on both simulated and real-life SMS datasets to assess the performance of kngMap with ten other popular SMS mapping tools (e.g., BLASR, BWA-MEM, and minimap2), we demonstrated that kngMap has higher sensitivity that can align more reads and bases to the reference genome; meanwhile, kngMap can produce consecutive alignments for the whole read and span different categories of SVs in the reads. kngMap is implemented in C++ and supports multi-threading; the source code of kngMap can be downloaded for free at: https://github.com/zhang134/kngMap for academic usage.
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Affiliation(s)
- Ze-Gang Wei
- Institute of Physics and Optoelectronics Technology, Baoji University of Arts and Sciences, Baoji, China
| | - Xing-Guo Fan
- Institute of Physics and Optoelectronics Technology, Baoji University of Arts and Sciences, Baoji, China
| | - Hao Zhang
- Institute of Physics and Optoelectronics Technology, Baoji University of Arts and Sciences, Baoji, China
| | - Xiao-Dan Zhang
- Institute of Physics and Optoelectronics Technology, Baoji University of Arts and Sciences, Baoji, China
| | - Fei Liu
- Institute of Physics and Optoelectronics Technology, Baoji University of Arts and Sciences, Baoji, China
| | - Yu Qian
- Institute of Physics and Optoelectronics Technology, Baoji University of Arts and Sciences, Baoji, China
- *Correspondence: Yu Qian, ; Shao-Wu Zhang,
| | - Shao-Wu Zhang
- Key Laboratory of Information Fusion Technology of Ministry of Education, School of Automation, Northwestern Polytechnical University, Xi’an, China
- *Correspondence: Yu Qian, ; Shao-Wu Zhang,
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Sandhu M, Paul AT, Jha PN. Metagenomic analysis for taxonomic and functional potential of Polyaromatic hydrocarbons (PAHs) and Polychlorinated biphenyl (PCB) degrading bacterial communities in steel industrial soil. PLoS One 2022; 17:e0266808. [PMID: 35486615 PMCID: PMC9053811 DOI: 10.1371/journal.pone.0266808] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Accepted: 03/25/2022] [Indexed: 12/21/2022] Open
Abstract
Iron and steel industries are the major contributors to persistent organic pollutants (POPs). The microbial community present at such sites has the potential to remediate these contaminants. The present study highlights the metabolic potential of the resident bacterial community of PAHs and PCB contaminated soil nearby Bhilai steel plant, Chhattisgarh (India). The GC-MS/MS analysis of soil samples MGB-2 (sludge) and MGB-3 (dry soil) resulted in identification of different classes of POPs including PAHs {benzo[a]anthracene (nd; 17.69%), fluorene (15.89%, nd), pyrene (nd; 18.7%), benzo(b)fluoranthene (3.03%, nd), benzo(k)fluoranthene (11.29%; nd), perylene (5.23%; nd)} and PCBs (PCB-15, PCB-95, and PCB-136). Whole-genome metagenomic analysis by Oxford Nanopore GridION Technology revealed predominance of domain bacteria (97.4%; 97.5%) followed by eukaryote (1.4%; 1.5%), archaea (1.2%; 0.9%) and virus (0.02%; 0.04%) in MGB-2 and MGB-3 respectively. Proteobacteria (44.3%; 50.0%) to be the prominent phylum followed by Actinobacteria (22.1%; 19.5%) in MBG-2 and MBG-3, respectively. However, Eukaryota microbial communities showed a predominance of phylum Ascomycota (20.5%; 23.6%), Streptophyta (18.5%, 17.0%) and unclassified (derived from Eukaryota) (12.1%; 12.2%) in MGB-2 and MGB-3. The sample MGB-3 was richer in macronutrients (C, N, P), supporting high microbial diversity than MGB-2. The presence of reads for biphenyl degradation, dioxin degradation, PAH degradation pathways can be further correlated with the presence of PCB and PAH as detected in the MGB-2 and MGB-3 samples. Further, taxonomic vis-à-vis functional analysis identified Burkholderia, Bradyrhizobium, Mycobacterium, and Rhodopseudomonas as the keystone degrader of PAH and PCB. Overall, our results revealed the importance of metagenomic and physicochemical analysis of the contaminated site, which improves the understanding of metabolic potential and adaptation of bacteria growing under POP contaminated environments.
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Affiliation(s)
- Monika Sandhu
- Department of Biological Sciences, Birla Institute of Technology and Science Pilani, Pilani, Rajasthan, India
| | - Atish T. Paul
- Department of Pharmacy, Birla Institute of Technology and Science Pilani, Pilani, Rajasthan, India
| | - Prabhat N. Jha
- Department of Biological Sciences, Birla Institute of Technology and Science Pilani, Pilani, Rajasthan, India
- * E-mail:
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Lang J, Li Y, Yang W, Dong R, Liang Y, Liu J, Chen L, Wang W, Ji B, Tian G, Che N, Meng B. Genomic and resistome analysis of Alcaligenes faecalis strain PGB1 by Nanopore MinION and Illumina Technologies. BMC Genomics 2022; 23:316. [PMID: 35443609 PMCID: PMC9022240 DOI: 10.1186/s12864-022-08507-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Accepted: 03/28/2022] [Indexed: 12/24/2022] Open
Abstract
Background Drug-resistant bacteria are important carriers of antibiotic-resistant genes (ARGs). This fact is crucial for the development of precise clinical drug treatment strategies. Long-read sequencing platforms such as the Oxford Nanopore sequencer can improve genome assembly efficiency particularly when they are combined with short-read sequencing data. Results Alcaligenes faecalis PGB1 was isolated and identified with resistance to penicillin and three other antibiotics. After being sequenced by Nanopore MinION and Illumina sequencer, its entire genome was hybrid-assembled. One chromosome and one plasmid was assembled and annotated with 4,433 genes (including 91 RNA genes). Function annotation and comparison between strains were performed. A phylogenetic analysis revealed that it was closest to A. faecalis ZD02. Resistome related sequences was explored, including ARGs, Insert sequence, phage. Two plasmid aminoglycoside genes were determined to be acquired ARGs. The main ARG category was antibiotic efflux resistance and β-lactamase (EC 3.5.2.6) of PGB1 was assigned to Class A, Subclass A1b, and Cluster LSBL3. Conclusions The present study identified the newly isolated bacterium A. faecalis PGB1 and systematically annotated its genome sequence and ARGs. Supplementary Information The online version contains supplementary material available at 10.1186/s12864-022-08507-7.
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Affiliation(s)
- Jidong Lang
- Geneis (Beijing) Co., Ltd, Beijing, 100102, China.,Qingdao Geneis Institute of Big Data Mining and Precision Medicine, Qingdao, People's Republic of China
| | - Yanju Li
- School of Life Science, Beijing Institute of Technology, Beijing, 100081, China
| | - Wenjuan Yang
- Geneis (Beijing) Co., Ltd, Beijing, 100102, China
| | - Ruyi Dong
- Geneis (Beijing) Co., Ltd, Beijing, 100102, China.,Qingdao Geneis Institute of Big Data Mining and Precision Medicine, Qingdao, People's Republic of China
| | - Yuebin Liang
- Geneis (Beijing) Co., Ltd, Beijing, 100102, China.,Qingdao Geneis Institute of Big Data Mining and Precision Medicine, Qingdao, People's Republic of China
| | - Jia Liu
- Geneis (Beijing) Co., Ltd, Beijing, 100102, China
| | - Lanyou Chen
- Geneis (Beijing) Co., Ltd, Beijing, 100102, China
| | - Weiwei Wang
- Geneis (Beijing) Co., Ltd, Beijing, 100102, China
| | - Binbin Ji
- Geneis (Beijing) Co., Ltd, Beijing, 100102, China
| | - Geng Tian
- Geneis (Beijing) Co., Ltd, Beijing, 100102, China.,Qingdao Geneis Institute of Big Data Mining and Precision Medicine, Qingdao, People's Republic of China
| | - Nanying Che
- Department of Pathology, Beijing Key Laboratory for Drug Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, 101149, China.
| | - Bo Meng
- Geneis (Beijing) Co., Ltd, Beijing, 100102, China.
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New generation genome sequencing methods. JOURNAL OF SURGERY AND MEDICINE 2022. [DOI: 10.28982/josam.972535] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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50
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Nanopore sequencing approach for variation detection of a live attenuated Newcastle disease virus vaccine. Biotechniques 2022; 72:201-206. [PMID: 35311385 DOI: 10.2144/btn-2022-0014] [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: 11/23/2022] Open
Abstract
Live attenuated Newcastle disease virus (NDV) vaccines have been used widely to protect chickens against Newcastle disease. However, the vaccine issues caused by genome mutations can seriously affect poultry health. In this study, the authors demonstrate the use of nanopore sequencing technology for rapid genome determination and variation analysis from a live attenuated NDV vaccine. NDV-specific reads were detected immediately after sequencing, and 24× genome coverage was obtained within 10 min. Variation analysis revealed 19 variant sites across the vaccine genome compared to the NDV clone 30 reference sequence . The sequencing and data analysis workflow employed enables all basic molecular biology laboratories to perform detailed genome sequencing in live attenuated vaccine, providing an effective means of quality control for vaccine production.
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