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Sun F, Li H, Sun D, Fu S, Gu L, Shao X, Wang Q, Dong X, Duan B, Xing F, Wu J, Xiao M, Zhao F, Han JDJ, Liu Q, Fan X, Li C, Wang C, Shi T. Single-cell omics: experimental workflow, data analyses and applications. SCIENCE CHINA. LIFE SCIENCES 2024:10.1007/s11427-023-2561-0. [PMID: 39060615 DOI: 10.1007/s11427-023-2561-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Accepted: 04/18/2024] [Indexed: 07/28/2024]
Abstract
Cells are the fundamental units of biological systems and exhibit unique development trajectories and molecular features. Our exploration of how the genomes orchestrate the formation and maintenance of each cell, and control the cellular phenotypes of various organismsis, is both captivating and intricate. Since the inception of the first single-cell RNA technology, technologies related to single-cell sequencing have experienced rapid advancements in recent years. These technologies have expanded horizontally to include single-cell genome, epigenome, proteome, and metabolome, while vertically, they have progressed to integrate multiple omics data and incorporate additional information such as spatial scRNA-seq and CRISPR screening. Single-cell omics represent a groundbreaking advancement in the biomedical field, offering profound insights into the understanding of complex diseases, including cancers. Here, we comprehensively summarize recent advances in single-cell omics technologies, with a specific focus on the methodology section. This overview aims to guide researchers in selecting appropriate methods for single-cell sequencing and related data analysis.
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Affiliation(s)
- Fengying Sun
- Department of Clinical Laboratory, the Affiliated Wuhu Hospital of East China Normal University (The Second People's Hospital of Wuhu City), Wuhu, 241000, China
| | - Haoyan Li
- Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Dongqing Sun
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University), Ministry of Education, Orthopaedic Department, Tongji Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 200082, China
- Frontier Science Center for Stem Cells, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China
| | - Shaliu Fu
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University), Ministry of Education, Orthopaedic Department, Tongji Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 200082, China
- Translational Medical Center for Stem Cell Therapy and Institute for Regenerative Medicine, Shanghai East Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 200082, China
- Research Institute of Intelligent Computing, Zhejiang Lab, Hangzhou, 311121, China
- Shanghai Research Institute for Intelligent Autonomous Systems, Shanghai, 201210, China
| | - Lei Gu
- Center for Single-cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Xin Shao
- Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China
- National Key Laboratory of Chinese Medicine Modernization, Innovation Center of Yangtze River Delta, Zhejiang University, Jiaxing, 314103, China
| | - Qinqin Wang
- Center for Single-cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Xin Dong
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University), Ministry of Education, Orthopaedic Department, Tongji Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 200082, China
- Frontier Science Center for Stem Cells, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China
| | - Bin Duan
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University), Ministry of Education, Orthopaedic Department, Tongji Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 200082, China
- Translational Medical Center for Stem Cell Therapy and Institute for Regenerative Medicine, Shanghai East Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 200082, China
- Research Institute of Intelligent Computing, Zhejiang Lab, Hangzhou, 311121, China
- Shanghai Research Institute for Intelligent Autonomous Systems, Shanghai, 201210, China
| | - Feiyang Xing
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University), Ministry of Education, Orthopaedic Department, Tongji Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 200082, China
- Frontier Science Center for Stem Cells, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China
| | - Jun Wu
- Center for Bioinformatics and Computational Biology, Shanghai Key Laboratory of Regulatory Biology, the Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, 200241, China
| | - Minmin Xiao
- Department of Clinical Laboratory, the Affiliated Wuhu Hospital of East China Normal University (The Second People's Hospital of Wuhu City), Wuhu, 241000, China.
| | - Fangqing Zhao
- Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Jing-Dong J Han
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Center for Quantitative Biology (CQB), Peking University, Beijing, 100871, China.
| | - Qi Liu
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University), Ministry of Education, Orthopaedic Department, Tongji Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 200082, China.
- Translational Medical Center for Stem Cell Therapy and Institute for Regenerative Medicine, Shanghai East Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 200082, China.
- Research Institute of Intelligent Computing, Zhejiang Lab, Hangzhou, 311121, China.
- Shanghai Research Institute for Intelligent Autonomous Systems, Shanghai, 201210, China.
| | - Xiaohui Fan
- Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China.
- National Key Laboratory of Chinese Medicine Modernization, Innovation Center of Yangtze River Delta, Zhejiang University, Jiaxing, 314103, China.
- Zhejiang Key Laboratory of Precision Diagnosis and Therapy for Major Gynecological Diseases, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, 310006, China.
| | - Chen Li
- Center for Single-cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
| | - Chenfei Wang
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University), Ministry of Education, Orthopaedic Department, Tongji Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 200082, China.
- Frontier Science Center for Stem Cells, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China.
| | - Tieliu Shi
- Department of Clinical Laboratory, the Affiliated Wuhu Hospital of East China Normal University (The Second People's Hospital of Wuhu City), Wuhu, 241000, China.
- Center for Bioinformatics and Computational Biology, Shanghai Key Laboratory of Regulatory Biology, the Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, 200241, China.
- Key Laboratory of Advanced Theory and Application in Statistics and Data Science-MOE, School of Statistics, East China Normal University, Shanghai, 200062, China.
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Qiao Y, Cheng T, Miao Z, Cui Y, Tu J. Recent Innovations and Technical Advances in High-Throughput Parallel Single-Cell Whole-Genome Sequencing Methods. SMALL METHODS 2024:e2400789. [PMID: 38979872 DOI: 10.1002/smtd.202400789] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/16/2024] [Indexed: 07/10/2024]
Abstract
Single-cell whole-genome sequencing (scWGS) detects cell heterogeneity at the aspect of genomic variations, which are inheritable and play an important role in life processes such as aging and cancer progression. The recent explosive development of high-throughput single-cell sequencing methods has enabled high-performance heterogeneity detection through a vast number of novel strategies. Despite the limitation on total cost, technical advances in high-throughput single-cell whole-genome sequencing methods are made for higher genome coverage, parallel throughput, and level of integration. This review highlights the technical advancements in high-throughput scWGS in the aspects of strategies design, data efficiency, parallel handling platforms, and their applications on human genome. The experimental innovations, remaining challenges, and perspectives are summarized and discussed.
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Affiliation(s)
- Yi Qiao
- State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China
| | - Tianguang Cheng
- State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China
| | - Zikun Miao
- State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China
| | - Yue Cui
- State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China
| | - Jing Tu
- State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China
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Jia H, Tan S, Zhang YE. Chasing Sequencing Perfection: Marching Toward Higher Accuracy and Lower Costs. GENOMICS, PROTEOMICS & BIOINFORMATICS 2024; 22:qzae024. [PMID: 38991976 DOI: 10.1093/gpbjnl/qzae024] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 01/25/2024] [Accepted: 01/29/2024] [Indexed: 07/13/2024]
Abstract
Next-generation sequencing (NGS), represented by Illumina platforms, has been an essential cornerstone of basic and applied research. However, the sequencing error rate of 1 per 1000 bp (10-3) represents a serious hurdle for research areas focusing on rare mutations, such as somatic mosaicism or microbe heterogeneity. By examining the high-fidelity sequencing methods developed in the past decade, we summarized three major factors underlying errors and the corresponding 12 strategies mitigating these errors. We then proposed a novel framework to classify 11 preexisting representative methods according to the corresponding combinatory strategies and identified three trends that emerged during methodological developments. We further extended this analysis to eight long-read sequencing methods, emphasizing error reduction strategies. Finally, we suggest two promising future directions that could achieve comparable or even higher accuracy with lower costs in both NGS and long-read sequencing.
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Affiliation(s)
- Hangxing Jia
- CAS Key Laboratory of Zoological Systematics and Evolution & State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Shengjun Tan
- CAS Key Laboratory of Zoological Systematics and Evolution & State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Yong E Zhang
- CAS Key Laboratory of Zoological Systematics and Evolution & State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
- CAS Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China
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Xie K, Lin B, Sun X, Zhu P, Liu C, Liu G, Cao X, Pan J, Qiu S, Yuan X, Liang M, Jiang J, Yuan L. Identification and classification of the genomes of novel microviruses in poultry slaughterhouse. Front Microbiol 2024; 15:1393153. [PMID: 38756731 PMCID: PMC11096546 DOI: 10.3389/fmicb.2024.1393153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Accepted: 04/11/2024] [Indexed: 05/18/2024] Open
Abstract
Microviridae is a family of phages with circular ssDNA genomes and they are widely found in various environments and organisms. In this study, virome techniques were employed to explore potential members of Microviridae in a poultry slaughterhouse, leading to the identification of 98 novel and complete microvirus genomes. Using a similarity clustering network classification approach, these viruses were found to belong to at least 6 new subfamilies within Microviridae and 3 higher-level taxonomic units. Genome size, GC content and genome structure of these new taxa showed evident regularities, validating the rationality of our classification method. Our method can divide microviruses into about 45 additional detailed clusters, which may serve as a new standard for classifying Microviridae members. Furthermore, by addressing the scarcity of host information for microviruses, the current study significantly broadened their host range and discovered over 20 possible new hosts, including important pathogenic bacteria such as Helicobacter pylori and Vibrio cholerae, as well as different taxa demonstrated different host specificities. The findings of this study effectively expand the diversity of the Microviridae family, providing new insights for their classification and identification. Additionally, it offers a novel perspective for monitoring and controlling pathogenic microorganisms in poultry slaughterhouse environments.
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Affiliation(s)
- Keming Xie
- School of Life Sciences and Biopharmaceutics, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China
- Key Laboratory of South China Sea Fishery Resources Exploitation and Utilization, Ministry of Agriculture and Rural Affairs, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, Guangdong, China
| | - Benfu Lin
- Huadu District Animal Health Supervision Institution, Guangzhou, Guangdong, China
| | - Xinyu Sun
- School of Life Sciences and Biopharmaceutics, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China
| | - Peng Zhu
- Key Laboratory of South China Sea Fishery Resources Exploitation and Utilization, Ministry of Agriculture and Rural Affairs, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, Guangdong, China
- College of Marine Ecology and Environment, Shanghai Ocean University, Shanghai, China
| | - Chang Liu
- Key Laboratory of South China Sea Fishery Resources Exploitation and Utilization, Ministry of Agriculture and Rural Affairs, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, Guangdong, China
| | - Guangfeng Liu
- Key Laboratory of South China Sea Fishery Resources Exploitation and Utilization, Ministry of Agriculture and Rural Affairs, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, Guangdong, China
| | - Xudong Cao
- Department of Chemical and Biological Engineering, University of Ottawa, Ottawa, ON, Canada
| | - Jingqi Pan
- School of Life Sciences and Biopharmaceutics, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China
| | - Suiping Qiu
- School of Life Sciences and Biopharmaceutics, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China
| | - Xiaoqi Yuan
- School of Life Sciences and Biopharmaceutics, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China
| | - Mengshi Liang
- School of Life Sciences and Biopharmaceutics, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China
| | - Jingzhe Jiang
- School of Life Sciences and Biopharmaceutics, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China
- Key Laboratory of South China Sea Fishery Resources Exploitation and Utilization, Ministry of Agriculture and Rural Affairs, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, Guangdong, China
| | - Lihong Yuan
- School of Life Sciences and Biopharmaceutics, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China
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Noguchi Y, Onodera Y, Miyamoto T, Maruoka M, Kosako H, Suzuki J. In vivo CRISPR screening directly targeting testicular cells. CELL GENOMICS 2024; 4:100510. [PMID: 38447574 PMCID: PMC10943590 DOI: 10.1016/j.xgen.2024.100510] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Revised: 12/10/2023] [Accepted: 02/06/2024] [Indexed: 03/08/2024]
Abstract
CRISPR-Cas9 short guide RNA (sgRNA) library screening is a powerful approach to understand the molecular mechanisms of biological phenomena. However, its in vivo application is currently limited. Here, we developed our previously established in vitro revival screening method into an in vivo one to identify factors involved in spermatogenesis integrity by utilizing sperm capacitation as an indicator. By introducing an sgRNA library into testicular cells, we successfully pinpointed the retinal degeneration 3 (Rd3) gene as a significant factor in spermatogenesis. Single-cell RNA sequencing (scRNA-seq) analysis highlighted the high expression of Rd3 in round spermatids, and proteomics analysis indicated that Rd3 interacts with mitochondria. To search for cell-type-specific signaling pathways based on scRNA-seq and proteomics analyses, we developed a computational tool, Hub-Explorer. Through this, we discovered that Rd3 modulates oxidative stress by regulating mitochondrial distribution upon ciliogenesis induction. Collectively, our screening system provides a valuable in vivo approach to decipher molecular mechanisms in biological processes.
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Affiliation(s)
- Yuki Noguchi
- Graduate School of Biostudies, Kyoto University, Konoe-cho, Yoshida, Sakyoku, Kyoto 606-8501, Japan; Institute for Integrated Cell-Material Sciences (WPI-iCeMS), Kyoto University, Yoshida-Honmachi, Sakyoku, Kyoto 606-8501, Japan
| | - Yasuhito Onodera
- Global Center for Biomedical Science and Engineering, Faculty of Medicine, Hokkaido University, N15W7 Kita-ku, Sapporo, Hokkaido 060-8638, Japan
| | - Tatsuo Miyamoto
- Department of Molecular and Cellular Physiology, Yamaguchi University, Graduate School of Medicine, 1-1-1 Minami-Kogushi, Ube, Yamaguchi 755-8505, Japan
| | - Masahiro Maruoka
- Institute for Integrated Cell-Material Sciences (WPI-iCeMS), Kyoto University, Yoshida-Honmachi, Sakyoku, Kyoto 606-8501, Japan; Center for Integrated Biosystems, Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - Hidetaka Kosako
- Division of Cell Signaling, Fujii Memorial Institute of Medical Sciences, Institute of Advanced Medical Sciences, Tokushima University, 3-18-15 Kuramoto-cho, Tokushima 770-8503, Japan
| | - Jun Suzuki
- Graduate School of Biostudies, Kyoto University, Konoe-cho, Yoshida, Sakyoku, Kyoto 606-8501, Japan; Institute for Integrated Cell-Material Sciences (WPI-iCeMS), Kyoto University, Yoshida-Honmachi, Sakyoku, Kyoto 606-8501, Japan; Center for Integrated Biosystems, Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan; CREST, Japan Science and Technology Agency, Kawaguchi, Saitama 332-0012, Japan.
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Taitt CR, Leski TA, Compton JR, Chen A, Berk KL, Dorsey RW, Sozhamannan S, Dutt DL, Vora GJ. Impact of template denaturation prior to whole genome amplification on gene detection in high GC-content species, Burkholderia mallei and B. pseudomallei. BMC Res Notes 2024; 17:70. [PMID: 38475810 DOI: 10.1186/s13104-024-06717-8] [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: 11/16/2023] [Accepted: 02/13/2024] [Indexed: 03/14/2024] Open
Abstract
OBJECTIVE In this study, we sought to determine the types and prevalence of antimicrobial resistance determinants (ARDs) in Burkholderia spp. strains using the Antimicrobial Resistance Determinant Microarray (ARDM). RESULTS Whole genome amplicons from 22 B. mallei (BM) and 37 B. pseudomallei (BP) isolates were tested for > 500 ARDs using ARDM v.3.1. ARDM detected the following Burkholderia spp.-derived genes, aac(6), blaBP/MBL-3, blaABPS, penA-BP, and qacE, in both BM and BP while blaBP/MBL-1, macB, blaOXA-42/43 and penA-BC were observed in BP only. The method of denaturing template for whole genome amplification greatly affected the numbers and types of genes detected by the ARDM. BlaTEM was detected in nearly a third of BM and BP amplicons derived from thermally, but not chemically denatured templates. BlaTEM results were confirmed by PCR, with 81% concordance between methods. Sequences from 414-nt PCR amplicons (13 preparations) were 100% identical to the Klebsiella pneumoniae reference gene. Although blaTEM sequences have been observed in B. glumae, B. cepacia, and other undefined Burkholderia strains, this is the first report of such sequences in BM/BP/B. thailandensis (BT) clade. These results highlight the importance of sample preparation in achieving adequate genome coverage in methods requiring untargeted amplification before analysis.
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Affiliation(s)
- Chris R Taitt
- Nova Research Inc., Alexandria, VA, 22308, USA
- Center for Biomolecular Science & Engineering, US Naval Research Laboratory, Washington, DC, USA
| | - Tomasz A Leski
- Center for Biomolecular Science & Engineering, US Naval Research Laboratory, Washington, DC, USA
| | - Jaimee R Compton
- Center for Biomolecular Science & Engineering, US Naval Research Laboratory, Washington, DC, USA
| | - Amy Chen
- Karle's Fellow, US Naval Research Laboratory, Washington, DC, USA
| | - Kimberly L Berk
- US Army Combat Capabilities Development Command-Chemical Biological Center, Aberdeen Proving Ground, MD, USA
| | - Robert W Dorsey
- US Army Combat Capabilities Development Command-Chemical Biological Center, Aberdeen Proving Ground, MD, USA
| | - Shanmuga Sozhamannan
- Defense Biological Product Assurance Office, Joint Program Executive Office for Chemical, Biological, Radiological and Nuclear Defense (JPEO-CBRND), Frederick, MD, USA
- Joint Research and Development, Inc., Stafford, VA, USA
| | - Dianne L Dutt
- Defense Threat Reduction Agency, Joint Science and Technology Office, Ft. Belvoir, VA, USA
| | - Gary J Vora
- Center for Biomolecular Science & Engineering, US Naval Research Laboratory, Washington, DC, USA.
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Zhou Q, Ding X, Du W, Wang H, Wu S, Li J, Yang S. Multi-enzymatic systems synergize new RCA technique amplified super-long dsDNA from DNA circle. Anal Chim Acta 2024; 1291:342220. [PMID: 38280785 DOI: 10.1016/j.aca.2024.342220] [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: 12/15/2023] [Accepted: 01/05/2024] [Indexed: 01/29/2024]
Abstract
BACKGROUND In the field of DNA amplification, there are great challenges in the effectively amplify of long-chain amplification, especially amplification up to several hundred kb level. RESULTS A novel technique for the unbiased whole genome amplification from a thimbleful of DNA circles, such as low as 10 ng/ 10 μL of the circular cpDNA or low as 5 ng/ 10 μL of the plasmid, is developed, which can amplify an abundance of the whole genome sequences. Specifically, the new technique that combines rolling-amplification and triple-enzyme system presents a tightly controlled process of a series of buffers/reactions and optimized procedures, that applies from the primer-template duplexes to the Elution step. The result of this technique provides a new approach for extending RCA capacity, where it can reach 200 kb from the circular cpDNA amplification and 150 kb from the plasmid DNA amplification, that demonstrates superior breadth and evenness of genome coverage, high reproducibility, small amplification bias with the amplification efficiency. SIGNIFICANCE AND NOVELTY This new technique will develop into one of the powerful tools for isothermal DNA amplification in vitro, genome sequencing/analysis, phylogenetic analysis, physical mapping, and other molecular biology applications.
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Affiliation(s)
- Qiang Zhou
- Key Laboratory of Biology and Genetics Improvement of Soybean, Ministry of Agriculture of the People's Republic of China, Nanjing Agricultural University, Nanjing, 210095, PR China; Zhongshan Biological Breeding Laboratory (ZSBBL), Nanjing Agricultural University, Nanjing, 210095, PR China; National Innovation Platform for Soybean Breeding and Industry-Education Integration, Nanjing Agricultural University, Nanjing, 210095, PR China; State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Nanjing Agricultural University, Nanjing, 210095, PR China; National Center for Soybean Improvement, Nanjing Agricultural University, Nanjing, 210095, PR China; Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, 210095, PR China; Soybean Research Institute, Nanjing Agricultural University, Nanjing, 210095, PR China; College of Agriculture, Nanjing Agricultural University, Nanjing, 210095, PR China.
| | - Xianlong Ding
- Key Laboratory of Biology and Genetics Improvement of Soybean, Ministry of Agriculture of the People's Republic of China, Nanjing Agricultural University, Nanjing, 210095, PR China; Zhongshan Biological Breeding Laboratory (ZSBBL), Nanjing Agricultural University, Nanjing, 210095, PR China; National Innovation Platform for Soybean Breeding and Industry-Education Integration, Nanjing Agricultural University, Nanjing, 210095, PR China; State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Nanjing Agricultural University, Nanjing, 210095, PR China; National Center for Soybean Improvement, Nanjing Agricultural University, Nanjing, 210095, PR China; Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, 210095, PR China; Soybean Research Institute, Nanjing Agricultural University, Nanjing, 210095, PR China; College of Agriculture, Nanjing Agricultural University, Nanjing, 210095, PR China.
| | - Wanqing Du
- Key Laboratory of Biology and Genetics Improvement of Soybean, Ministry of Agriculture of the People's Republic of China, Nanjing Agricultural University, Nanjing, 210095, PR China; Zhongshan Biological Breeding Laboratory (ZSBBL), Nanjing Agricultural University, Nanjing, 210095, PR China; National Innovation Platform for Soybean Breeding and Industry-Education Integration, Nanjing Agricultural University, Nanjing, 210095, PR China; State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Nanjing Agricultural University, Nanjing, 210095, PR China; National Center for Soybean Improvement, Nanjing Agricultural University, Nanjing, 210095, PR China; Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, 210095, PR China; Soybean Research Institute, Nanjing Agricultural University, Nanjing, 210095, PR China; College of Agriculture, Nanjing Agricultural University, Nanjing, 210095, PR China.
| | - Hongjie Wang
- Key Laboratory of Biology and Genetics Improvement of Soybean, Ministry of Agriculture of the People's Republic of China, Nanjing Agricultural University, Nanjing, 210095, PR China; Zhongshan Biological Breeding Laboratory (ZSBBL), Nanjing Agricultural University, Nanjing, 210095, PR China; National Innovation Platform for Soybean Breeding and Industry-Education Integration, Nanjing Agricultural University, Nanjing, 210095, PR China; State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Nanjing Agricultural University, Nanjing, 210095, PR China; National Center for Soybean Improvement, Nanjing Agricultural University, Nanjing, 210095, PR China; Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, 210095, PR China; Soybean Research Institute, Nanjing Agricultural University, Nanjing, 210095, PR China; College of Agriculture, Nanjing Agricultural University, Nanjing, 210095, PR China.
| | - Shuo Wu
- Key Laboratory of Biology and Genetics Improvement of Soybean, Ministry of Agriculture of the People's Republic of China, Nanjing Agricultural University, Nanjing, 210095, PR China; Zhongshan Biological Breeding Laboratory (ZSBBL), Nanjing Agricultural University, Nanjing, 210095, PR China; National Innovation Platform for Soybean Breeding and Industry-Education Integration, Nanjing Agricultural University, Nanjing, 210095, PR China; State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Nanjing Agricultural University, Nanjing, 210095, PR China; National Center for Soybean Improvement, Nanjing Agricultural University, Nanjing, 210095, PR China; Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, 210095, PR China; Soybean Research Institute, Nanjing Agricultural University, Nanjing, 210095, PR China; College of Agriculture, Nanjing Agricultural University, Nanjing, 210095, PR China.
| | - Jun Li
- Key Laboratory of Biology and Genetics Improvement of Soybean, Ministry of Agriculture of the People's Republic of China, Nanjing Agricultural University, Nanjing, 210095, PR China; Zhongshan Biological Breeding Laboratory (ZSBBL), Nanjing Agricultural University, Nanjing, 210095, PR China; National Innovation Platform for Soybean Breeding and Industry-Education Integration, Nanjing Agricultural University, Nanjing, 210095, PR China; State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Nanjing Agricultural University, Nanjing, 210095, PR China; National Center for Soybean Improvement, Nanjing Agricultural University, Nanjing, 210095, PR China; Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, 210095, PR China; Soybean Research Institute, Nanjing Agricultural University, Nanjing, 210095, PR China; College of Agriculture, Nanjing Agricultural University, Nanjing, 210095, PR China.
| | - Shouping Yang
- Key Laboratory of Biology and Genetics Improvement of Soybean, Ministry of Agriculture of the People's Republic of China, Nanjing Agricultural University, Nanjing, 210095, PR China; Zhongshan Biological Breeding Laboratory (ZSBBL), Nanjing Agricultural University, Nanjing, 210095, PR China; National Innovation Platform for Soybean Breeding and Industry-Education Integration, Nanjing Agricultural University, Nanjing, 210095, PR China; State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Nanjing Agricultural University, Nanjing, 210095, PR China; National Center for Soybean Improvement, Nanjing Agricultural University, Nanjing, 210095, PR China; Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, 210095, PR China; Soybean Research Institute, Nanjing Agricultural University, Nanjing, 210095, PR China; College of Agriculture, Nanjing Agricultural University, Nanjing, 210095, PR China.
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Ospino MC, Engel K, Ruiz-Navas S, Binns WJ, Doxey AC, Neufeld JD. Evaluation of multiple displacement amplification for metagenomic analysis of low biomass samples. ISME COMMUNICATIONS 2024; 4:ycae024. [PMID: 38500705 PMCID: PMC10945365 DOI: 10.1093/ismeco/ycae024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Revised: 02/05/2024] [Accepted: 02/12/2024] [Indexed: 03/20/2024]
Abstract
Combining multiple displacement amplification (MDA) with metagenomics enables the analysis of samples with extremely low DNA concentrations, making them suitable for high-throughput sequencing. Although amplification bias and nonspecific amplification have been reported from MDA-amplified samples, the impact of MDA on metagenomic datasets is not well understood. We compared three MDA methods (i.e. bulk MDA, emulsion MDA, and primase MDA) for metagenomic analysis of two DNA template concentrations (approx. 1 and 100 pg) derived from a microbial community standard "mock community" and two low biomass environmental samples (i.e. borehole fluid and groundwater). We assessed the impact of MDA on metagenome-based community composition, assembly quality, functional profiles, and binning. We found amplification bias against high GC content genomes but relatively low nonspecific amplification such as chimeras, artifacts, or contamination for all MDA methods. We observed MDA-associated representational bias for microbial community profiles, especially for low-input DNA and with the primase MDA method. Nevertheless, similar taxa were represented in MDA-amplified libraries to those of unamplified samples. The MDA libraries were highly fragmented, but similar functional profiles to the unamplified libraries were obtained for bulk MDA and emulsion MDA at higher DNA input and across these MDA libraries for the groundwater sample. Medium to low-quality bins were possible for the high input bulk MDA metagenomes for the most simple microbial communities, borehole fluid, and mock community. Although MDA-based amplification should be avoided, it can still reveal meaningful taxonomic and functional information from samples with extremely low DNA concentration where direct metagenomics is otherwise impossible.
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Affiliation(s)
| | - Katja Engel
- Department of Biology, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada
| | - Santiago Ruiz-Navas
- Department of Biology, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada
| | - W Jeffrey Binns
- Safety and Technical Research, Nuclear Waste Management Organization of Canada, Toronto, Ontario M4T 2S3, Canada
| | - Andrew C Doxey
- Department of Biology, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada
| | - Josh D Neufeld
- Department of Biology, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada
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9
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Velázquez-Ruiz C, Blanco L, Martínez-Jiménez MI. 3'dNTP Binding Is Modulated during Primer Synthesis and Translesion by Human PrimPol. Int J Mol Sci 2023; 25:51. [PMID: 38203225 PMCID: PMC10778844 DOI: 10.3390/ijms25010051] [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: 11/30/2023] [Revised: 12/15/2023] [Accepted: 12/17/2023] [Indexed: 01/12/2024] Open
Abstract
PrimPol is a DNA primase/polymerase from the Archaeo-Eukaryotic Primase (AEP) superfamily that enables the progression of stalled replication forks by synthesizing DNA primers ahead of blocking lesions or abnormal structures in the ssDNA template. PrimPol's active site is formed by three AEP-conserved motifs: A, B and C. Motifs A and C of human PrimPol (HsPrimPol) harbor the catalytic residues (Asp114, Glu116, Asp280) acting as metal ligands, whereas motif B includes highly conserved residues (Lys165, Ser167 and His169), which are postulated to stabilize 3' incoming deoxynucleotides (dNTPs). Additionally, other putative nucleotide ligands are situated close to motif C: Lys297, almost invariant in the whole AEP superfamily, and Lys300, specifically conserved in eukaryotic PrimPols. Here, we demonstrate that His169 is absolutely essential for 3'dNTP binding and, hence, for both primase and polymerase activities of HsPrimPol, whereas Ser167 and Lys297 are crucial for the dimer synthesis initiation step during priming, but dispensable for subsequent dNTP incorporation on growing primers. Conversely, the elimination of Lys165 does not affect the overall primase function; however, it is required for damage avoidance via primer-template realignments. Finally, Lys300 is identified as an extra anchor residue to stabilize the 3' incoming dNTP. Collectively, these results demonstrate that individual ligands modulate the stabilization of 3' incoming dNTPs to optimize DNA primer synthesis efficiency during initiation and primer maturation.
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Affiliation(s)
| | - Luis Blanco
- Centro de Biología Molecular Severo Ochoa, (CSIC-UAM), c/Nicolás Cabrera 1, Cantoblanco, 28049 Madrid, Spain;
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10
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Liu Z, Zhang Y, Wu C. Single-cell sequencing in pancreatic cancer research: A deeper understanding of heterogeneity and therapy. Biomed Pharmacother 2023; 168:115664. [PMID: 37837881 DOI: 10.1016/j.biopha.2023.115664] [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: 07/05/2023] [Revised: 09/28/2023] [Accepted: 10/06/2023] [Indexed: 10/16/2023] Open
Abstract
Pancreatic cancer, including pancreatic ductal adenocarcinomas (PDACs), is a malignant tumor with characteristics of tumor-stroma interactions. Patients often have a poor prognosis and a poor long-term survival rate. In recent years, rapidly-developing single-cell sequencing techniques have been used to analyze cell populations at a single-cell resolution, so that it is now possible to have a more in-depth and clearer understanding of the genetic composition of pancreatic cancer. In this review, we provide an overview of the current single-cell sequencing techniques and their applications in the exploration of intratumoral heterogeneity, the tumor microenvironment, therapy resistance, and novel treatments. Our hope is to provide new insight into the potential of precision therapy, which will perhaps one day lead to significant advances in PDAC treatment.
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Affiliation(s)
- Zhuomiao Liu
- Department of Radiation Oncology, the Fourth Affiliated Hospital of China Medical University, Shenyang, China
| | - Yalin Zhang
- Department of Radiation Oncology, the Fourth Affiliated Hospital of China Medical University, Shenyang, China
| | - Chunli Wu
- Department of Radiation Oncology, the Fourth Affiliated Hospital of China Medical University, Shenyang, China.
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11
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Ordóñez CD, Mayoral-Campos C, Egas C, Redrejo-Rodríguez M. A primer-independent DNA polymerase-based method for competent whole-genome amplification of intermediate to high GC sequences. NAR Genom Bioinform 2023; 5:lqad073. [PMID: 37608803 PMCID: PMC10440786 DOI: 10.1093/nargab/lqad073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 07/03/2023] [Accepted: 08/09/2023] [Indexed: 08/24/2023] Open
Abstract
Multiple displacement amplification (MDA) has proven to be a useful technique for obtaining large amounts of DNA from tiny samples in genomics and metagenomics. However, MDA has limitations, such as amplification artifacts and biases that can interfere with subsequent quantitative analysis. To overcome these challenges, alternative methods and engineered DNA polymerase variants have been developed. Here, we present new MDA protocols based on the primer-independent DNA polymerase (piPolB), a replicative-like DNA polymerase endowed with DNA priming and proofreading capacities. These new methods were tested on a genomes mixture containing diverse sequences with high-GC content, followed by deep sequencing. Protocols relying on piPolB as a single enzyme cannot achieve competent amplification due to its limited processivity and the presence of ab initio DNA synthesis. However, an alternative method called piMDA, which combines piPolB with Φ29 DNA polymerase, allows proficient and faithful amplification of the genomes. In addition, the prior denaturation step commonly performed in MDA protocols is dispensable, resulting in a more straightforward protocol. In summary, piMDA outperforms commercial methods in the amplification of genomes and metagenomes containing high GC sequences and exhibits similar profiling, error rate and variant determination as the non-amplified samples.
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Affiliation(s)
- Carlos D Ordóñez
- Centro de Biología Molecular Severo Ochoa, CSIC-UAM, Madrid, Spain
| | - Carmen Mayoral-Campos
- Departamento de Bioquímica, Universidad Autónoma de Madrid (UAM) and Instituto de Investigaciones Biomédicas Sols-Morreale (CSIC-UAM), Madrid, Spain
| | - Conceição Egas
- Center for Neuroscience and Cell Biology, University of Coimbra, Coimbra, Portugal
- Biocant, Transfer Technology Association, Cantanhede, Portugal
| | - Modesto Redrejo-Rodríguez
- Departamento de Bioquímica, Universidad Autónoma de Madrid (UAM) and Instituto de Investigaciones Biomédicas Sols-Morreale (CSIC-UAM), Madrid, Spain
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12
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Zhu Z, Jiang L, Ding X. Advancing Breast Cancer Heterogeneity Analysis: Insights from Genomics, Transcriptomics and Proteomics at Bulk and Single-Cell Levels. Cancers (Basel) 2023; 15:4164. [PMID: 37627192 PMCID: PMC10452610 DOI: 10.3390/cancers15164164] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Revised: 07/23/2023] [Accepted: 08/16/2023] [Indexed: 08/27/2023] Open
Abstract
Breast cancer continues to pose a significant healthcare challenge worldwide for its inherent molecular heterogeneity. This review offers an in-depth assessment of the molecular profiling undertaken to understand this heterogeneity, focusing on multi-omics strategies applied both in traditional bulk and single-cell levels. Genomic investigations have profoundly informed our comprehension of breast cancer, enabling its categorization into six intrinsic molecular subtypes. Beyond genomics, transcriptomics has rendered deeper insights into the gene expression landscape of breast cancer cells. It has also facilitated the formulation of more precise predictive and prognostic models, thereby enriching the field of personalized medicine in breast cancer. The comparison between traditional and single-cell transcriptomics has identified unique gene expression patterns and facilitated the understanding of cell-to-cell variability. Proteomics provides further insights into breast cancer subtypes by illuminating intricate protein expression patterns and their post-translational modifications. The adoption of single-cell proteomics has been instrumental in this regard, revealing the complex dynamics of protein regulation and interaction. Despite these advancements, this review underscores the need for a holistic integration of multiple 'omics' strategies to fully decipher breast cancer heterogeneity. Such integration not only ensures a comprehensive understanding of breast cancer's molecular complexities, but also promotes the development of personalized treatment strategies.
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Affiliation(s)
- Zijian Zhu
- State Key Laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, Shanghai Jiao Tong University, Shanghai 200030, China;
| | - Lai Jiang
- Department of Anesthesiology and Surgical Intensive Care Unit, Xinhua Hospital, School of Medicine and School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200025, China;
| | - Xianting Ding
- State Key Laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, Shanghai Jiao Tong University, Shanghai 200030, China;
- Department of Anesthesiology and Surgical Intensive Care Unit, Xinhua Hospital, School of Medicine and School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200025, China;
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13
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Boldinova EO, Makarova AV. Regulation of Human DNA Primase-Polymerase PrimPol. BIOCHEMISTRY. BIOKHIMIIA 2023; 88:1139-1155. [PMID: 37758313 DOI: 10.1134/s0006297923080084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Revised: 06/27/2023] [Accepted: 06/28/2023] [Indexed: 10/03/2023]
Abstract
Transmission of genetic information depends on successful completion of DNA replication. Genomic DNA is subjected to damage on a daily basis. DNA lesions create obstacles for DNA polymerases and can lead to the replication blockage, formation of DNA breaks, cell cycle arrest, and apoptosis. Cells have evolutionary adapted to DNA damage by developing mechanisms allowing elimination of lesions prior to DNA replication (DNA repair) and helping to bypass lesions during DNA synthesis (DNA damage tolerance). The second group of mechanisms includes the restart of DNA synthesis at the sites of DNA damage by DNA primase-polymerase PrimPol. Human PrimPol was described in 2013. The properties and functions of this enzyme have been extensively studied in recent years, but very little is known about the regulation of PrimPol and association between the enzyme dysfunction and diseases. In this review, we described the mechanisms of human PrimPol regulation in the context of DNA replication, discussed in detail interactions of PrimPol with other proteins, and proposed possible pathways for the regulation of human PrimPol activity. The article also addresses the association of PrimPol dysfunction with human diseases.
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Affiliation(s)
- Elizaveta O Boldinova
- Kurchatov Institute National Research Centre, Moscow, 123182, Russia.
- Institute of Gene Biology, Russian Academy of Sciences, Moscow, 119334, Russia
| | - Alena V Makarova
- Kurchatov Institute National Research Centre, Moscow, 123182, Russia
- Institute of Gene Biology, Russian Academy of Sciences, Moscow, 119334, Russia
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14
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Zhang X, Park WD, Thijssen M, Xu Y, Tse LPV, Pourkarim MR, Aurora R, Fan X. Expansion of Betatorquevirus and/or Gammatorquevirus in Patients with Severe Clinical Outcomes of the Liver Diseases. Viruses 2023; 15:1635. [PMID: 37631978 PMCID: PMC10457780 DOI: 10.3390/v15081635] [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: 05/30/2023] [Revised: 07/21/2023] [Accepted: 07/24/2023] [Indexed: 08/27/2023] Open
Abstract
Anellovirus (AV) is a ubiquitous virus in the human population. Individuals can be infected with multiple AV genera and species to form a heterogeneous repertoire, termed the anellome. Using advanced methods, we examined the anellomes from 12 paired serum and liver samples, as well as 2701 subjects with different clinical diagnoses. Overall, anellomes are remarkably individualized, with significant among-group differences (Kruskal-Wallis test p = 6.6 × 10-162 for richness and p = 7.48 × 10-162 for Shannon entropy). High dissimilarity scores (beta diversity) were observed between patient groups, except for paired serum and liver samples. At the population level, the relative abundance of combinational AV genus Betatorquevirus (torque teno mini viruses, TTMV), and Gammatorquevirus (torque teno midi viruses, TTMDV) exhibited an exponential distribution with a low bound point at 32%. Defined by this value, the AV TTMV/TTMDV-expanded anellome was significantly enriched among patients with acute liver failure (31.7%) and liver transplantation (40.7%), compared with other patient groups (χ2 test: p = 4.1 × 10-8-3.2 × 10-3). Therefore, anellome heterogeneity may be predictive of clinical outcomes in certain diseases, such as liver disease. The consistency of anellome between paired serum and liver samples indicates that a liquid biopsy approach would be suitable for longitudinal studies to clarify the causality of the AV TTMV/TTMDV-expanded anellome in the outcomes of liver disease.
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Affiliation(s)
- Xiaoan Zhang
- Division of Gastroenterology & Hepatology, Department of Internal Medicine, Saint Louis University School of Medicine, St. Louis, MO 63104, USA
- School of Clinical Medicine, Henan University of Science and Technology, Luoyang 471000, China
| | - William D. Park
- Department of Molecular Microbiology & Immunology, Saint Louis University School of Medicine, St. Louis, MO 63104, USA
| | - Marijn Thijssen
- Laboratory for Clinical and Epidemiological Virology, Rega Institute, Department of Microbiology, Immunology and Transplantation, KU Leuven, 3000 Leuven, Belgium
| | - Yanjuan Xu
- Division of Gastroenterology & Hepatology, Department of Internal Medicine, Saint Louis University School of Medicine, St. Louis, MO 63104, USA
| | - Long Ping Victor Tse
- Department of Molecular Microbiology & Immunology, Saint Louis University School of Medicine, St. Louis, MO 63104, USA
| | - Mahmoud Reza Pourkarim
- Laboratory for Clinical and Epidemiological Virology, Rega Institute, Department of Microbiology, Immunology and Transplantation, KU Leuven, 3000 Leuven, Belgium
| | - Rajeev Aurora
- Department of Molecular Microbiology & Immunology, Saint Louis University School of Medicine, St. Louis, MO 63104, USA
| | - Xiaofeng Fan
- Division of Gastroenterology & Hepatology, Department of Internal Medicine, Saint Louis University School of Medicine, St. Louis, MO 63104, USA
- Saint Louis University Liver Center, Saint Louis University School of Medicine, St. Louis, MO 63104, USA
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15
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Ordóñez CD, Redrejo-Rodríguez M. DNA Polymerases for Whole Genome Amplification: Considerations and Future Directions. Int J Mol Sci 2023; 24:ijms24119331. [PMID: 37298280 DOI: 10.3390/ijms24119331] [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: 04/13/2023] [Revised: 05/24/2023] [Accepted: 05/25/2023] [Indexed: 06/12/2023] Open
Abstract
In the same way that specialized DNA polymerases (DNAPs) replicate cellular and viral genomes, only a handful of dedicated proteins from various natural origins as well as engineered versions are appropriate for competent exponential amplification of whole genomes and metagenomes (WGA). Different applications have led to the development of diverse protocols, based on various DNAPs. Isothermal WGA is currently widely used due to the high performance of Φ29 DNA polymerase, but PCR-based methods are also available and can provide competent amplification of certain samples. Replication fidelity and processivity must be considered when selecting a suitable enzyme for WGA. However, other properties, such as thermostability, capacity to couple replication, and double helix unwinding, or the ability to maintain DNA replication opposite to damaged bases, are also very relevant for some applications. In this review, we provide an overview of the different properties of DNAPs widely used in WGA and discuss their limitations and future research directions.
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Affiliation(s)
- Carlos D Ordóñez
- CIC bioGUNE, Bizkaia Science and Technology Park, Building 800, 48160 Derio, Spain
| | - Modesto Redrejo-Rodríguez
- Department of Biochemistry, Universidad Autónoma de Madrid and Instituto de Investigaciones Biomédicas "Alberto Sols", CSIC-UAM, 28029 Madrid, Spain
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16
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Megremis S, Constantinides B, Xepapadaki P, Yap CF, Sotiropoulos AG, Bachert C, Finotto S, Jartti T, Tapinos A, Vuorinen T, Andreakos E, Robertson DL, Papadopoulos NG. Respiratory eukaryotic virome expansion and bacteriophage deficiency characterize childhood asthma. Sci Rep 2023; 13:8319. [PMID: 37221274 PMCID: PMC10205716 DOI: 10.1038/s41598-023-34730-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Accepted: 05/06/2023] [Indexed: 05/25/2023] Open
Abstract
Asthma development and exacerbation is linked to respiratory virus infections. There is limited information regarding the presence of viruses during non-exacerbation/infection periods. We investigated the nasopharyngeal/nasal virome during a period of asymptomatic state, in a subset of 21 healthy and 35 asthmatic preschool children from the Predicta cohort. Using metagenomics, we described the virome ecology and the cross-species interactions within the microbiome. The virome was dominated by eukaryotic viruses, while prokaryotic viruses (bacteriophages) were independently observed with low abundance. Rhinovirus B species consistently dominated the virome in asthma. Anelloviridae were the most abundant and rich family in both health and asthma. However, their richness and alpha diversity were increased in asthma, along with the co-occurrence of different Anellovirus genera. Bacteriophages were richer and more diverse in healthy individuals. Unsupervised clustering identified three virome profiles that were correlated to asthma severity and control and were independent of treatment, suggesting a link between the respiratory virome and asthma. Finally, we observed different cross-species ecological associations in the healthy versus the asthmatic virus-bacterial interactome, and an expanded interactome of eukaryotic viruses in asthma. Upper respiratory virome "dysbiosis" appears to be a novel feature of pre-school asthma during asymptomatic/non-infectious states and merits further investigation.
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Affiliation(s)
- Spyridon Megremis
- University of Manchester, Manchester, UK.
- University of Leicester, Leicester, UK.
| | | | | | | | | | | | - Susetta Finotto
- Friedrich Alexander University Erlangen-Nurnberg, Erlangen, Germany
| | - Tuomas Jartti
- University of Turku, Turku, Finland
- University of Oulu, Oulu, Finland
| | | | | | | | | | - Nikolaos G Papadopoulos
- University of Manchester, Manchester, UK.
- National and Kapodistrian University of Athens, Athens, Greece.
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17
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Jiang JZ, Fang YF, Wei HY, Zhu P, Liu M, Yuan WG, Yang LL, Guo YX, Jin T, Shi M, Yao T, Lu J, Ye LT, Shi SK, Wang M, Duan M, Zhang DC. A remarkably diverse and well-organized virus community in a filter-feeding oyster. MICROBIOME 2023; 11:2. [PMID: 36611217 PMCID: PMC9825006 DOI: 10.1186/s40168-022-01431-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Accepted: 11/17/2022] [Indexed: 06/17/2023]
Abstract
BACKGROUND Viruses play critical roles in the marine environment because of their interactions with an extremely broad range of potential hosts. Many studies of viruses in seawater have been published, but viruses that inhabit marine animals have been largely neglected. Oysters are keystone species in coastal ecosystems, yet as filter-feeding bivalves with very large roosting numbers and species co-habitation, it is not clear what role they play in marine virus transmission and coastal microbiome regulation. RESULTS Here, we report a Dataset of Oyster Virome (DOV) that contains 728,784 nonredundant viral operational taxonomic unit contigs (≥ 800 bp) and 3473 high-quality viral genomes, enabling the first comprehensive overview of both DNA and RNA viral communities in the oyster Crassostrea hongkongensis. We discovered tremendous diversity among novel viruses that inhabit this oyster using multiple approaches, including reads recruitment, viral operational taxonomic units, and high-quality virus genomes. Our results show that these viruses are very different from viruses in the oceans or other habitats. In particular, the high diversity of novel circoviruses that we found in the oysters indicates that oysters may be potential hotspots for circoviruses. Notably, the viruses that were enriched in oysters are not random but are well-organized communities that can respond to changes in the health state of the host and the external environment at both compositional and functional levels. CONCLUSIONS In this study, we generated a first "knowledge landscape" of the oyster virome, which has increased the number of known oyster-related viruses by tens of thousands. Our results suggest that oysters provide a unique habitat that is different from that of seawater, and highlight the importance of filter-feeding bivalves for marine virus exploration as well as their essential but still invisible roles in regulating marine ecosystems. Video Abstract.
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Affiliation(s)
- Jing-Zhe Jiang
- Key Laboratory of South China Sea Fishery Resources Exploitation and Utilization, Ministry of Agriculture and Rural Affairs, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, 510300, Guangdong, China.
- College of Fisheries and Life Science, Shanghai Ocean University, Shanghai, 201306, China.
- Guangdong Province Key Laboratory for Biotechnology Drug Candidates, School of Biosciences and Biopharmaceutics, Guangdong Pharmaceutical University, Guangzhou, 510006, Guangdong, China.
- Tianjin Agricultural University, Tianjin, 300384, China.
| | - Yi-Fei Fang
- College of Fisheries and Life Science, Shanghai Ocean University, Shanghai, 201306, China
- Shanghai Majorbio Bio-Pharm Technology Co Ltd, Shanghai, 201203, China
| | - Hong-Ying Wei
- College of Fisheries and Life Science, Shanghai Ocean University, Shanghai, 201306, China
- Guangdong Magigene Biotechnology Co Ltd, Guangzhou, 510000, Guangdong, China
| | - Peng Zhu
- College of Fisheries and Life Science, Shanghai Ocean University, Shanghai, 201306, China
| | - Min Liu
- College of Fisheries and Life Science, Shanghai Ocean University, Shanghai, 201306, China
| | - Wen-Guang Yuan
- Guangdong Province Key Laboratory for Biotechnology Drug Candidates, School of Biosciences and Biopharmaceutics, Guangdong Pharmaceutical University, Guangzhou, 510006, Guangdong, China
| | - Li-Ling Yang
- Tianjin Agricultural University, Tianjin, 300384, China
| | | | - Tao Jin
- Guangdong Magigene Biotechnology Co Ltd, Guangzhou, 510000, Guangdong, China
| | - Mang Shi
- School of Medicine, Sun Yat-Sen University, Shenzhen, 518107, Guangdong, China
| | - Tuo Yao
- Key Laboratory of South China Sea Fishery Resources Exploitation and Utilization, Ministry of Agriculture and Rural Affairs, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, 510300, Guangdong, China
| | - Jie Lu
- Key Laboratory of South China Sea Fishery Resources Exploitation and Utilization, Ministry of Agriculture and Rural Affairs, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, 510300, Guangdong, China
| | - Ling-Tong Ye
- Key Laboratory of South China Sea Fishery Resources Exploitation and Utilization, Ministry of Agriculture and Rural Affairs, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, 510300, Guangdong, China
| | - Shao-Kun Shi
- Shenzhen Fisheries Development Research Center, Shenzhen, 518067, Guangdong, China
| | - Meng Wang
- Bureau of Agriculture and Rural Affairs of Conghua District, Guangzhou, 510925, Guangdong, China
| | - Ming Duan
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China, Hubei.
| | - Dian-Chang Zhang
- Key Laboratory of South China Sea Fishery Resources Exploitation and Utilization, Ministry of Agriculture and Rural Affairs, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, 510300, Guangdong, China.
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18
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Huang Y, Zhang H, Wei Y, Cao Y, Zhu Q, Li X, Shan T, Dai X, Zhang J. Characterizing the amplification of STR markers in multiplex polymerase chain displacement reaction using massively parallel sequencing. Forensic Sci Int Genet 2023; 62:102802. [PMID: 36332535 DOI: 10.1016/j.fsigen.2022.102802] [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: 08/02/2022] [Revised: 10/11/2022] [Accepted: 10/19/2022] [Indexed: 01/15/2023]
Abstract
Polymerase chain displacement reaction (PCDR) showed advantages in forensic low-template DNA analysis with improved amplification efficiency, higher allele detection capacity, and lower stutter artifact than PCR. However, characteristics of STR markers after PCDR amplification remain unclarified for the limited resolving power of capillary electrophoresis (CE). This issue can be addressed by massively parallel sequencing (MPS) technology with higher throughput and discriminability. Here, we developed a multiplex PCDR system including 24 STRs and amelogenin. In addition, a PCR reference was established for comparison. After amplification, products were subjected to PCR-free library construction and sequenced on the Illumina NovaSeq system. We implemented a sequence-matching pipeline to separate different amplicon types of PCDR products from the combination of primers. In the sensitivity test, the PCDR multiplex obtained full STR profiles with as low as 125 pg 2800M control DNA. Based on that, single-source DNA samples were tested. First, highly concordant genotypes were observed among the PCDR multiplex, the PCR reference, and CE-based STR kits. Next, read counts of different PCDR amplicon types were investigated, showing a relative abundance of 78:12:12:1 for the shortest amplicon S, the two medium amplicons M1 and M2, and the longest amplicon L. We also analyzed the stutter artifacts for distinct amplicon types, and the results revealed the reduction of N - 1 and N - 2 contraction stutters, and the increase of N + 1 and N + 2 elongation stutters in PCDR samples. Moreover, we confirmed the feasibility of PCDR for amplifying degraded DNA samples and unbalanced DNA mixtures. Compared to the previous proof of principle study, our work took a further step to characterize the complete profile of STR markers in the PCDR context. Our results suggested that the PCDR-MPS workflow is an effective approach for forensic STR analysis. Corresponding findings in this study may help the development of PCDR-based assays and probabilistic methods in future studies.
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Affiliation(s)
- Yuguo Huang
- West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, China.
| | - Haijun Zhang
- Forensic Science Center of Sichuan Provincial Public Security Department, Chengdu, China
| | - Yifan Wei
- West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, China
| | - Yueyan Cao
- West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, China
| | - Qiang Zhu
- West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, China
| | - Xi Li
- West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, China
| | - Tiantian Shan
- West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, China
| | - Xuan Dai
- West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, China
| | - Ji Zhang
- West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, China.
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19
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Verdú C, Pérez-Arnaiz P, Peropadre A, Berenguer J, Mencía M. Deletion of the primase-polymerases encoding gene, located in a mobile element in Thermus thermophilus HB27, leads to loss of function mutation of addAB genes. Front Microbiol 2022; 13:1005862. [DOI: 10.3389/fmicb.2022.1005862] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Accepted: 11/08/2022] [Indexed: 12/03/2022] Open
Abstract
DNA primase-polymerases (Ppol) have been shown to play active roles in DNA repair and damage tolerance, both in prokaryotes and eukaryotes. The ancestral thermophilic bacterium Thermus thermophilus strain HB27 encodes a Ppol protein among the genes present in mobile element ICETh2, absent in other T. thermophilus strains. Using different strategies we ablated the function of Ppol in HB27 cells, either by knocking out the gene through insertional mutagenesis, markerless deletion or through abolition of its catalytic activity. Whole genome sequencing of this diverse collection of Ppol mutants showed spontaneous loss of function mutation in the helicase-nuclease AddAB in every ppol mutant isolated. Given that AddAB is a major player in recombinational repair in many prokaryotes, with similar activity to the proteobacterial RecBCD complex, we have performed a detailed characterization of the ppol mutants in combination with addAB mutants. The results show that knockout addAB mutants are more sensitive to DNA damage agents than the wild type, and present a dramatic three orders of magnitude increase in natural transformation efficiencies with both plasmid and lineal DNA, whereas ppol mutants show defects in plasmid stability. Interestingly, DNA-integrity comet assays showed that the genome of all the ppol and/or addAB mutants was severely affected by widespread fragmentation, however, this did not translate in neat loss of viability of the strains. All these data support that Ppol appears to keep in balance the activity of AddAB as a part of the DNA housekeeping maintenance in T. thermophilus HB27, thus, playing a key role in its genome stability.
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20
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Liu Y, Chen L, Yu J, Ye L, Hu H, Wang J, Wu B. Advances in Single-Cell Toxicogenomics in Environmental Toxicology. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:11132-11145. [PMID: 35881918 DOI: 10.1021/acs.est.2c01098] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
The toxicity evaluation system of environmental pollutants has undergone numerous changes due to the application of new technologies. Single-cell toxicogenomics is rapidly changing our view on environmental toxicology by increasing the resolution of our analysis to the level of a single cell. Applications of this technology in environmental toxicology have begun to emerge and are rapidly expanding the portfolio of existing technologies and applications. Here, we first summarized different methods involved in single-cell isolation and amplification in single-cell sequencing process, compared the advantages and disadvantages of different methods, and analyzed their development trends. Then, we reviewed the main advances of single-cell toxicogenomics in environmental toxicology, emphatically analyzed the application prospects of this technology in identifying the target cells of pollutants in early embryos, clarifying the heterogeneous response of cell subtypes to pollutants, and finding pathogenic bacteria in unknown microbes, and highlighted the unique characteristics of this approach with high resolution, high throughput, and high specificity by examples. We also offered a prediction of the further application of this technology and the revolution it brings in environmental toxicology. Overall, these advances will provide practical solutions for controlling or mitigating exogenous toxicological effects that threaten human and ecosystem health, contribute to improving our understanding of the physiological processes affected by pollutants, and lead to the emergence of new methods of pollution control.
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Affiliation(s)
- Yuxuan Liu
- State Key Laboratory of Pollution Control and Resource Reuse, School of Environment, Nanjing University, Nanjing 210023, PR China
| | - Ling Chen
- State Key Laboratory of Pollution Control and Resource Reuse, School of Environment, Nanjing University, Nanjing 210023, PR China
| | - Jing Yu
- State Key Laboratory of Pollution Control and Resource Reuse, School of Environment, Nanjing University, Nanjing 210023, PR China
| | - Lin Ye
- State Key Laboratory of Pollution Control and Resource Reuse, School of Environment, Nanjing University, Nanjing 210023, PR China
| | - Haidong Hu
- State Key Laboratory of Pollution Control and Resource Reuse, School of Environment, Nanjing University, Nanjing 210023, PR China
| | - Jinfeng Wang
- State Key Laboratory of Pollution Control and Resource Reuse, School of Environment, Nanjing University, Nanjing 210023, PR China
| | - Bing Wu
- State Key Laboratory of Pollution Control and Resource Reuse, School of Environment, Nanjing University, Nanjing 210023, PR China
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21
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Yamauchi K, Sato M, Osawa L, Matsuda S, Komiyama Y, Nakakuki N, Takada H, Katoh R, Muraoka M, Suzuki Y, Tatsumi A, Miura M, Takano S, Amemiya F, Fukasawa M, Nakayama Y, Yamaguchi T, Inoue T, Maekawa S, Enomoto N. Analysis of direct-acting antiviral-resistant hepatitis C virus haplotype diversity by single-molecule and long-read sequencing. Hepatol Commun 2022; 6:1634-1651. [PMID: 35357088 PMCID: PMC9234623 DOI: 10.1002/hep4.1929] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Revised: 02/03/2022] [Accepted: 02/04/2022] [Indexed: 11/08/2022] Open
Abstract
The method of analyzing individual resistant hepatitis C virus (HCV) by a combination of haplotyping and resistance-associated substitution (RAS) has not been fully elucidated because conventional sequencing has only yielded short and fragmented viral genomes. We performed haplotype analysis of HCV mutations in 12 asunaprevir/daclatasvir treatment-failure cases using the Oxford Nanopore sequencer. This enabled single-molecule long-read sequencing using rolling circle amplification (RCA) for correction of the sequencing error. RCA of the circularized reverse-transcription polymerase chain reaction products successfully produced DNA longer than 30 kilobase pairs (kb) containing multiple tandem repeats of a target 3 kb HCV genome. The long-read sequencing of these RCA products could determine the original sequence of the target single molecule as the consensus nucleotide sequence of the tandem repeats and revealed the presence of multiple viral haplotypes with the combination of various mutations in each host. In addition to already known signature RASs, such as NS3-D168 and NS5A-L31/Y93, there were various RASs specific to a different haplotype after treatment failure. The distribution of viral haplotype changed over time; some haplotypes disappeared without acquiring resistant mutations, and other haplotypes, which were not observed before treatment, appeared after treatment. Conclusion: The combination of various mutations other than the known signature RAS was suggested to influence the kinetics of individual HCV quasispecies in the direct-acting antiviral treatment. HCV haplotype dynamic analysis will provide novel information on the role of HCV diversity within the host, which will be useful for elucidating the pathological mechanism of HCV-related diseases.
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Affiliation(s)
- Kozue Yamauchi
- Department of Gastroenterology and HepatologyFaculty of MedicineUniversity of YamanashiYamanashiJapan
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22
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Jäger R. New Perspectives for Whole Genome Amplification in Forensic STR Analysis. Int J Mol Sci 2022; 23:ijms23137090. [PMID: 35806097 PMCID: PMC9267064 DOI: 10.3390/ijms23137090] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Revised: 06/23/2022] [Accepted: 06/24/2022] [Indexed: 02/04/2023] Open
Abstract
Modern PCR-based analytical techniques have reached sensitivity levels that allow for obtaining complete forensic DNA profiles from even tiny traces containing genomic DNA amounts as small as 125 pg. Yet these techniques have reached their limits when it comes to the analysis of traces such as fingerprints or single cells. One suggestion to overcome these limits has been the usage of whole genome amplification (WGA) methods. These methods aim at increasing the copy number of genomic DNA and by this means generate more template DNA for subsequent analyses. Their application in forensic contexts has so far remained mostly an academic exercise, and results have not shown significant improvements and even have raised additional analytical problems. Until very recently, based on these disappointments, the forensic application of WGA seems to have largely been abandoned. In the meantime, however, novel improved methods are pointing towards a perspective for WGA in specific forensic applications. This review article tries to summarize current knowledge about WGA in forensics and suggests the forensic analysis of single-donor bioparticles and of single cells as promising applications.
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Affiliation(s)
- Richard Jäger
- Department of Natural Sciences, Bonn-Rhein-Sieg University of Applied Sciences, von-Liebig Str. 20, 53359 Rheinbach, Germany;
- Institute for Functional Gene Analytics, Bonn-Rhein-Sieg University of Applied Sciences, Grantham Allee 20, 53757 Sankt Augustin, Germany
- Institute of Safety and Security Research, Bonn-Rhein-Sieg University of Applied Sciences, Grantham Allee 20, 53757 Sankt Augustin, Germany
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23
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Whole Genome Amplification in Preimplantation Genetic Testing in the Era of Massively Parallel Sequencing. Int J Mol Sci 2022; 23:ijms23094819. [PMID: 35563216 PMCID: PMC9102663 DOI: 10.3390/ijms23094819] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2022] [Revised: 04/24/2022] [Accepted: 04/25/2022] [Indexed: 12/16/2022] Open
Abstract
Successful whole genome amplification (WGA) is a cornerstone of contemporary preimplantation genetic testing (PGT). Choosing the most suitable WGA technique for PGT can be particularly challenging because each WGA technique performs differently in combination with different downstream processing and detection methods. The aim of this review is to provide insight into the performance and drawbacks of DOP-PCR, MDA and MALBAC, as well as the hybrid WGA techniques most widely used in PGT. As the field of PGT is moving towards a wide adaptation of comprehensive massively parallel sequencing (MPS)-based approaches, we especially focus our review on MPS parameters and detection opportunities of WGA-amplified material, i.e., mappability of reads, uniformity of coverage and its influence on copy number variation analysis, and genomic coverage and its influence on single nucleotide variation calling. The ability of MDA-based WGA solutions to better cover the targeted genome and the ability of PCR-based solutions to provide better uniformity of coverage are highlighted. While numerous comprehensive PGT solutions exploiting different WGA types and adjusted bioinformatic pipelines to detect copy number and single nucleotide changes are available, the ones exploiting MDA appear more advantageous. The opportunity to fully analyse the targeted genome is influenced by the MPS parameters themselves rather than the solely chosen WGA.
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24
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Wang X, Liu Y, Liu H, Pan W, Ren J, Zheng X, Tan Y, Chen Z, Deng Y, He N, Chen H, Li S. Recent advances and application of whole genome amplification in molecular diagnosis and medicine. MedComm (Beijing) 2022; 3:e116. [PMID: 35281794 PMCID: PMC8906466 DOI: 10.1002/mco2.116] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Revised: 01/11/2022] [Accepted: 01/12/2022] [Indexed: 11/30/2022] Open
Abstract
Whole genome amplification (WGA) is a technology for non-selective amplification of the whole genome sequence, first appearing in 1992. Its primary purpose is to amplify and reflect the whole genome of trace tissues and single cells without sequence bias and to provide sufficient DNA template for subsequent multigene and multilocus analysis, along with comprehensive genome research. WGA provides a method to obtain a large amount of genetic information from a small amount of DNA and provides a valuable tool for preserving limited samples in molecular biology. WGA technology is especially suitable for forensic identification and genetic disease research, along with new technologies such as next-generation sequencing (NGS). In addition, WGA is also widely used in single-cell sequencing. Due to the small amount of DNA in a single cell, it is often unable to meet the amount of samples needed for sequencing, so WGA is generally used to achieve the amplification of trace samples. This paper reviews WGA methods based on different principles, summarizes both amplification principle and amplification quality, and discusses the application prospects and challenges of WGA technology in molecular diagnosis and medicine.
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Affiliation(s)
- Xiaoyu Wang
- Hunan Key Laboratory of Biomedical Nanomaterials and DevicesHunan University of TechnologyZhuzhouChina
| | - Yapeng Liu
- School of Early‐Childhood Education, Nanjing Xiaozhuang UniversityNanjingChina
| | - Hongna Liu
- Hunan Key Laboratory of Biomedical Nanomaterials and DevicesHunan University of TechnologyZhuzhouChina
| | - Wenjing Pan
- Hunan Key Laboratory of Biomedical Nanomaterials and DevicesHunan University of TechnologyZhuzhouChina
| | - Jie Ren
- Hunan Key Laboratory of Biomedical Nanomaterials and DevicesHunan University of TechnologyZhuzhouChina
| | - Xiangming Zheng
- Hunan Key Laboratory of Biomedical Nanomaterials and DevicesHunan University of TechnologyZhuzhouChina
| | - Yimin Tan
- Hunan Key Laboratory of Biomedical Nanomaterials and DevicesHunan University of TechnologyZhuzhouChina
| | - Zhu Chen
- Hunan Key Laboratory of Biomedical Nanomaterials and DevicesHunan University of TechnologyZhuzhouChina
| | - Yan Deng
- Hunan Key Laboratory of Biomedical Nanomaterials and DevicesHunan University of TechnologyZhuzhouChina
| | - Nongyue He
- Hunan Key Laboratory of Biomedical Nanomaterials and DevicesHunan University of TechnologyZhuzhouChina
- State Key Laboratory of BioelectronicsSoutheast UniversityNanjingChina
| | - Hui Chen
- Hunan Key Laboratory of Biomedical Nanomaterials and DevicesHunan University of TechnologyZhuzhouChina
| | - Song Li
- Hunan Key Laboratory of Biomedical Nanomaterials and DevicesHunan University of TechnologyZhuzhouChina
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25
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Masset H, Ding J, Dimitriadou E, Debrock S, Tšuiko O, Smits K, Peeraer K, Voet T, Zamani Esteki M, Vermeesch JR. Single-cell genome-wide concurrent haplotyping and copy-number profiling through genotyping-by-sequencing. Nucleic Acids Res 2022; 50:e63. [PMID: 35212381 PMCID: PMC9226495 DOI: 10.1093/nar/gkac134] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2021] [Revised: 01/10/2022] [Accepted: 02/11/2022] [Indexed: 02/07/2023] Open
Abstract
Single-cell whole-genome haplotyping allows simultaneous detection of haplotypes associated with monogenic diseases, chromosome copy-numbering and subsequently, has revealed mosaicism in embryos and embryonic stem cells. Methods, such as karyomapping and haplarithmisis, were deployed as a generic and genome-wide approach for preimplantation genetic testing (PGT) and are replacing traditional PGT methods. While current methods primarily rely on single-nucleotide polymorphism (SNP) array, we envision sequencing-based methods to become more accessible and cost-efficient. Here, we developed a novel sequencing-based methodology to haplotype and copy-number profile single cells. Following DNA amplification, genomic size and complexity is reduced through restriction enzyme digestion and DNA is genotyped through sequencing. This single-cell genotyping-by-sequencing (scGBS) is the input for haplarithmisis, an algorithm we previously developed for SNP array-based single-cell haplotyping. We established technical parameters and developed an analysis pipeline enabling accurate concurrent haplotyping and copy-number profiling of single cells. We demonstrate its value in human blastomere and trophectoderm samples as application for PGT for monogenic disorders. Furthermore, we demonstrate the method to work in other species through analyzing blastomeres of bovine embryos. Our scGBS method opens up the path for single-cell haplotyping of any species with diploid genomes and could make its way into the clinic as a PGT application.
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Affiliation(s)
- Heleen Masset
- Laboratory for Cytogenetics and Genome Research, Department of Human Genetics, KU Leuven, Leuven, 3000, Belgium
| | - Jia Ding
- Center of Human Genetics, University Hospitals of Leuven, Leuven, 3000, Belgium
| | | | - Sophie Debrock
- Leuven University Fertility Center, University Hospitals Leuven, Leuven, 3000, Belgium
| | - Olga Tšuiko
- Laboratory for Cytogenetics and Genome Research, Department of Human Genetics, KU Leuven, Leuven, 3000, Belgium.,Center of Human Genetics, University Hospitals of Leuven, Leuven, 3000, Belgium
| | - Katrien Smits
- Department of Internal Medicine, Reproduction and Population Medicine, Ghent University, Merelbeke, 9820, Belgium
| | - Karen Peeraer
- Leuven University Fertility Center, University Hospitals Leuven, Leuven, 3000, Belgium
| | - Thierry Voet
- Laboratory of Reproductive Genomics, Department of Human Genetics, KU Leuven, Leuven, 3000, Belgium
| | - Masoud Zamani Esteki
- Department of Clinical Genetics, Maastricht University Medical Center, Maastricht, 6202 AZ, The Netherlands.,Department of Genetics and Cell Biology, GROW School for Oncology and Developmental Biology, Maastricht University, Maastricht, 6229 ER, The Netherlands
| | - Joris R Vermeesch
- Laboratory for Cytogenetics and Genome Research, Department of Human Genetics, KU Leuven, Leuven, 3000, Belgium.,Center of Human Genetics, University Hospitals of Leuven, Leuven, 3000, Belgium
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26
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PrimPol: A Breakthrough among DNA Replication Enzymes and a Potential New Target for Cancer Therapy. Biomolecules 2022; 12:biom12020248. [PMID: 35204749 PMCID: PMC8961649 DOI: 10.3390/biom12020248] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Revised: 01/29/2022] [Accepted: 02/02/2022] [Indexed: 02/01/2023] Open
Abstract
DNA replication can encounter blocking obstacles, leading to replication stress and genome instability. There are several mechanisms for evading this blockade. One mechanism consists of repriming ahead of the obstacles, creating a new starting point; in humans, PrimPol is responsible for carrying out this task. PrimPol is a primase that operates in both the nucleus and mitochondria. In contrast with conventional primases, PrimPol is a DNA primase able to initiate DNA synthesis de novo using deoxynucleotides, discriminating against ribonucleotides. In vitro, PrimPol can act as a DNA primase, elongating primers that PrimPol itself sythesizes, or as translesion synthesis (TLS) DNA polymerase, elongating pre-existing primers across lesions. However, the lack of evidence for PrimPol polymerase activity in vivo suggests that PrimPol only acts as a DNA primase. Here, we provide a comprehensive review of human PrimPol covering its biochemical properties and structure, in vivo function and regulation, and the processes that take place to fill the gap-containing lesion that PrimPol leaves behind. Finally, we explore the available data on human PrimPol expression in different tissues in physiological conditions and its role in cancer.
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27
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Bahonar S, Montazeri H. Somatic Single-Nucleotide Variant Calling from Single-Cell DNA Sequencing Data Using SCAN-SNV. Methods Mol Biol 2022; 2493:267-277. [PMID: 35751821 DOI: 10.1007/978-1-0716-2293-3_17] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
SCAN-SNV is a recent computational tool for somatic single-nucleotide variant (SNV) identification from the single-cell DNA sequencing data. The workflow of the SCAN-SNV package is as follows. First, candidate somatic SNVs and credible heterozygous single-nucleotide polymorphisms (hSNP) are obtained by analyzing single-cell and matched bulk sequencing data, respectively. Subsequently, SCAN-SNV estimates genome-wide allele-specific amplification balance (AB) at any position of DNA sequencing data using a probabilistic spatial statistical model. Finally, candidate somatic SNVs that are likely artifacts according to the AB predictions are further removed to obtain putative mutations. This chapter provides a step-by-step practical guide of the package by explaining how to install and use the variance caller in a real-world example.
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Affiliation(s)
- Sajedeh Bahonar
- Department of Bioinformatics, Institute of Biochemistry and Biophysics (IBB), University of Tehran, Tehran, Iran
| | - Hesam Montazeri
- Department of Bioinformatics, Institute of Biochemistry and Biophysics (IBB), University of Tehran, Tehran, Iran.
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28
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Huang F, Lu X, Yu C, Sliz P, Wang L, Zhu B. Molecular Dissection of the Primase and Polymerase Activities of Deep-Sea Phage NrS-1 Primase-Polymerase. Front Microbiol 2021; 12:766612. [PMID: 34975792 PMCID: PMC8718748 DOI: 10.3389/fmicb.2021.766612] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2021] [Accepted: 11/22/2021] [Indexed: 11/13/2022] Open
Abstract
PrimPols are a class of primases that belong to the archaeo-eukaryotic primase (AEP) superfamily but have both primase and DNA polymerase activities. Replicative polymerase from NrS-1 phage (NrSPol) is a representative of the PrimPols. In this study, we identified key residues for the catalytic activity of NrSPol and found that a loop in NrSPol functionally replaces the zinc finger motif that is commonly found in other AEP family proteins. A helix bundle domain (HBD), conserved in the AEP superfamily, was recently reported to bind to the primase recognition site and to be crucial for initiation of primer synthesis. We found that NrSPol can recognize different primase recognition sites, and that the initiation site for primer synthesis is not stringent, suggesting that the HBD conformation is flexible. More importantly, we found that although the HBD-inactivating mutation impairs the primase activity of NrSPol, it significantly enhances the DNA polymerase activity, indicating that the HBD hinders the DNA polymerase activity. The conflict between the primase activity and the DNA polymerase activity in a single protein with the same catalytic domain may be one reason for why DNA polymerases are generally unable to synthesize DNA de novo.
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Affiliation(s)
- Fengtao Huang
- Key Laboratory of Molecular Biophysics, The Ministry of Education, College of Life Science and Technology and Shenzhen College, Huazhong University of Science and Technology, Wuhan, China
- *Correspondence: Fengtao Huang,
| | - Xueling Lu
- Key Laboratory of Molecular Biophysics, The Ministry of Education, College of Life Science and Technology and Shenzhen College, Huazhong University of Science and Technology, Wuhan, China
| | - Chunxiao Yu
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA, United States
| | - Piotr Sliz
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA, United States
| | - Longfei Wang
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA, United States
- Program in Cellular and Molecular Medicine, Boston Children’s Hospital, Boston, MA, United States
- School of Pharmaceutical Sciences, Wuhan University, Wuhan, China
- Longfei Wang,
| | - Bin Zhu
- Key Laboratory of Molecular Biophysics, The Ministry of Education, College of Life Science and Technology and Shenzhen College, Huazhong University of Science and Technology, Wuhan, China
- Bin Zhu,
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29
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Kojima M, Harada T, Fukazawa T, Kurihara S, Saeki I, Takahashi S, Hiyama E. Single-cell DNA and RNA sequencing of circulating tumor cells. Sci Rep 2021; 11:22864. [PMID: 34819539 PMCID: PMC8613180 DOI: 10.1038/s41598-021-02165-7] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Accepted: 11/03/2021] [Indexed: 01/02/2023] Open
Abstract
Single-cell sequencing of circulating tumor cells can precisely represent tumor heterogeneity and provide useful information for cancer treatment and research. After spiking TGW neuroblastoma cells into blood derived from healthy volunteer, the cells were isolated by fluorescence-activated cell sorting. DNA and mRNA were amplified by four different whole-genome amplifications (WGA) and three whole-transcriptome amplifications (WTA) methods, followed by single-cell DNA and RNA sequencing. Multiple displacement amplification (MDA)-based WGA methods showed higher amplification efficiency than other methods with a comparable depth of coverage as the bulk sample. The uniformity of coverage greatly differed among samples (12.5–89.2%), with some samples evaluated by the MDA-based WGA method using phi29 DNA polymerase and random primers showing a high (> 80%) uniformity of coverage. The MDA-based WTA method less effectively amplified mRNA and showed non-specific gene expression patterns. The PCR-based WTA using template switching with locked nucleic acid technology accurately amplified mRNA from a single cell. Taken together, our results present a more reliable and adaptable approach for CTC profiling at the single-cell level. Such molecular information on CTCs derived from clinical patients will promote cancer treatment and research.
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Affiliation(s)
- Masato Kojima
- Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.,Natural Science Center for Basic Research and Development (N-BARD), Hiroshima University, Hiroshima, Japan
| | - Takanori Harada
- Natural Science Center for Basic Research and Development (N-BARD), Hiroshima University, Hiroshima, Japan
| | - Takahiro Fukazawa
- Natural Science Center for Basic Research and Development (N-BARD), Hiroshima University, Hiroshima, Japan
| | - Sho Kurihara
- Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Isamu Saeki
- Department of Pediatric Surgery, Hiroshima University Hospital, Hiroshima, Japan
| | - Shinya Takahashi
- Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Eiso Hiyama
- Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan. .,Natural Science Center for Basic Research and Development (N-BARD), Hiroshima University, Hiroshima, Japan.
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30
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Lähnemann D, Köster J, Fischer U, Borkhardt A, McHardy AC, Schönhuth A. Accurate and scalable variant calling from single cell DNA sequencing data with ProSolo. Nat Commun 2021; 12:6744. [PMID: 34795237 PMCID: PMC8602313 DOI: 10.1038/s41467-021-26938-w] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Accepted: 10/22/2021] [Indexed: 01/14/2023] Open
Abstract
Accurate single cell mutational profiles can reveal genomic cell-to-cell heterogeneity. However, sequencing libraries suitable for genotyping require whole genome amplification, which introduces allelic bias and copy errors. The resulting data violates assumptions of variant callers developed for bulk sequencing. Thus, only dedicated models accounting for amplification bias and errors can provide accurate calls. We present ProSolo for calling single nucleotide variants from multiple displacement amplified (MDA) single cell DNA sequencing data. ProSolo probabilistically models a single cell jointly with a bulk sequencing sample and integrates all relevant MDA biases in a site-specific and scalable-because computationally efficient-manner. This achieves a higher accuracy in calling and genotyping single nucleotide variants in single cells in comparison to state-of-the-art tools and supports imputation of insufficiently covered genotypes, when downstream tools cannot handle missing data. Moreover, ProSolo implements the first approach to control the false discovery rate reliably and flexibly. ProSolo is implemented in an extendable framework, with code and usage at: https://github.com/prosolo/prosolo.
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Affiliation(s)
- David Lähnemann
- Department for Computational Biology of Infection Research, Helmholtz Centre for Infection Research, 38124, Braunschweig, Germany
- Braunschweig Integrated Centre of Systems Biology (BRICS), Technische Universität Braunschweig, 38106, Braunschweig, Germany
- Algorithmic Bioinformatics, Faculty of Mathematics and Natural Sciences, Heinrich Heine University Düsseldorf, 40225, Düsseldorf, Germany
- Department of Paediatric Oncology, Haematology and Immunology, University Hospital, Medical Faculty, Heinrich Heine University Düsseldorf, 40225, Düsseldorf, Germany
- Algorithms for Reproducible Bioinformatics, Institute of Human Genetics, University of Duisburg-Essen, 45147, Essen, Germany
| | - Johannes Köster
- Algorithms for Reproducible Bioinformatics, Institute of Human Genetics, University of Duisburg-Essen, 45147, Essen, Germany
- Genome Data Science, Life Sciences Group, Centrum Wiskunde & Informatica, 1098 XG, Amsterdam, The Netherlands
| | - Ute Fischer
- Department of Paediatric Oncology, Haematology and Immunology, University Hospital, Medical Faculty, Heinrich Heine University Düsseldorf, 40225, Düsseldorf, Germany
| | - Arndt Borkhardt
- Department of Paediatric Oncology, Haematology and Immunology, University Hospital, Medical Faculty, Heinrich Heine University Düsseldorf, 40225, Düsseldorf, Germany
| | - Alice C McHardy
- Department for Computational Biology of Infection Research, Helmholtz Centre for Infection Research, 38124, Braunschweig, Germany.
- Braunschweig Integrated Centre of Systems Biology (BRICS), Technische Universität Braunschweig, 38106, Braunschweig, Germany.
- Algorithmic Bioinformatics, Faculty of Mathematics and Natural Sciences, Heinrich Heine University Düsseldorf, 40225, Düsseldorf, Germany.
| | - Alexander Schönhuth
- Genome Data Science, Life Sciences Group, Centrum Wiskunde & Informatica, 1098 XG, Amsterdam, The Netherlands.
- Genome Data Science, Faculty of Technology, Bielefeld University, 33615, Bielefeld, Germany.
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31
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O'Grady CJ, Dhandapani V, Colbourne JK, Frisch D. Refining the evolutionary time machine: An assessment of whole genome amplification using single historical Daphnia eggs. Mol Ecol Resour 2021; 22:946-961. [PMID: 34672105 DOI: 10.1111/1755-0998.13524] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2021] [Revised: 09/03/2021] [Accepted: 09/07/2021] [Indexed: 12/14/2022]
Abstract
Whole genome sequencing is instrumental for the study of genome variation in natural populations, delivering important knowledge on genomic modifications and potential targets of natural selection at the population level. Large dormant eggbanks of aquatic invertebrates such as the keystone herbivore Daphnia, a microcrustacean widespread in freshwater ecosystems, provide detailed sedimentary archives to study genomic processes over centuries. To overcome the problem of limited DNA amounts in single Daphnia dormant eggs, we developed an optimized workflow for whole genome amplification (WGA), yielding sufficient amounts of DNA for downstream whole genome sequencing of individual historical eggs, including polyploid lineages. We compare two WGA kits, applied to recently produced Daphnia magna dormant eggs from laboratory cultures, and to historical dormant eggs of Daphnia pulicaria collected from Arctic lake sediment between 10 and 300 years old. Resulting genome coverage breadth in most samples was ~70%, including those from >100-year-old isolates. Sequence read distribution was highly correlated among samples amplified with the same kit, but less correlated between kits. Despite this, a high percentage of genomic positions with single nucleotide polymorphisms in one or more samples (maximum of 74% between kits, and 97% within kits) were recovered at a depth required for genotyping. As a by-product of sequencing we obtained 100% coverage of the mitochondrial genomes even from the oldest isolates (~300 years). The mitochondrial DNA provides an additional source for evolutionary studies of these populations. We provide an optimized workflow for WGA followed by whole genome sequencing including steps to minimize exogenous DNA.
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Affiliation(s)
- Christopher James O'Grady
- School of Life Sciences, University of Warwick, Coventry, UK.,Cell and Gene Therapy Catapult, London, UK.,School of Biosciences, University of Birmingham, Birmingham, UK
| | | | | | - Dagmar Frisch
- School of Biosciences, University of Birmingham, Birmingham, UK.,Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB), Berlin, Germany
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32
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Liang X, Wang Y, Zhang Y, Li B, Radosevich M. Bacteriophage-host depth distribution patterns in soil are maintained after nutrient stimulation in vitro. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 787:147589. [PMID: 33991924 DOI: 10.1016/j.scitotenv.2021.147589] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Revised: 04/16/2021] [Accepted: 05/01/2021] [Indexed: 06/12/2023]
Abstract
Previous research has revealed the ecological importance of viruses in different ecosystems. However, bacteriophage-host distribution patterns in soil depth profiles have not been investigated. Environmental factors such as nutrient availability and physiological stress can impact the mode (either lytic or lysogenic) of viral reproduction and subsequent influence of virus infection on ecological processes. Soil depth profiles with distinct geochemical properties are ideal models to investigate the virus-host relationships as a function of environmental trophic status and cell abundance. Batch enrichment experiments using soil collected at varying depths (0-140 cm) as inoculum were performed to explore the interactions between viruses and co-occurring microbial hosts under nutrient stimulation. Both viral and bacterial abundance increased in the nutrient media compared with those in the original soils. Bacterial abundance was similar in mixed-cultures of soils regardless of sampling depth, whereas viral abundance was negatively correlated with the depth of soil samples which caused a decreasing virus-to-bacteria ratio. The lysogenetic fraction increased with soil depth in a similar manner as in the original soils assessed directly without nutrient stimulation. The bacterial diversity decreased with soil depth, and was influenced primarily by soil type, viral abundance, and virus-to-bacteria ratio. The bacterial communities were dominated by Bacilli, Beta-, Gamma-Proteobacteria, and Clostridia after nutrient stimulation. Viral and bacterial community structure also varied with soil horizons (i.e., depth). The results showed that the patterns for virus-host interactions shaped by the geochemical properties in the original environment were conserved or similar after in vitro nutrient stimulation. These findings suggest that short-term changes in trophic status alone may not significantly alter the balance of viral reproductive strategies in terrestrial ecosystems as in the antecedent environmental conditions that the host community has long adapted to, and other factors such as stress, host diversity or adaptation may be necessary to trigger community-level shifts in the interactions between viruses and hosts that responded most favorably to nutrient addition.
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Affiliation(s)
- Xiaolong Liang
- Department of Biosystems Engineering and Soil Science, The University of Tennessee, Knoxville, TN 37996, USA.
| | - Yusong Wang
- Department of Biosystems Engineering and Soil Science, The University of Tennessee, Knoxville, TN 37996, USA
| | - Ying Zhang
- Key Laboratory of Pollution Ecology and Environmental Engineering, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, Liaoning Province 110016, China
| | - Bingxue Li
- College of Land and Environment, Shenyang Agricultural University, Shenyang, Liaoning 110866, China
| | - Mark Radosevich
- Department of Biosystems Engineering and Soil Science, The University of Tennessee, Knoxville, TN 37996, USA.
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33
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Xu J, Liao K, Yang X, Wu C, Wu W, Han S. Using single-cell sequencing technology to detect circulating tumor cells in solid tumors. Mol Cancer 2021; 20:104. [PMID: 34412644 PMCID: PMC8375060 DOI: 10.1186/s12943-021-01392-w] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2021] [Accepted: 07/12/2021] [Indexed: 12/30/2022] Open
Abstract
Circulating tumor cells are tumor cells with high vitality and high metastatic potential that invade and shed into the peripheral blood from primary solid tumors or metastatic foci. Due to the heterogeneity of tumors, it is difficult for high-throughput sequencing analysis of tumor tissues to find the genomic characteristics of low-abundance tumor stem cells. Single-cell sequencing of circulating tumor cells avoids interference from tumor heterogeneity by comparing the differences between single-cell genomes, transcriptomes, and epigenetic groups among circulating tumor cells, primary and metastatic tumors, and metastatic lymph nodes in patients' peripheral blood, providing a new perspective for understanding the biological process of tumors. This article describes the identification, biological characteristics, and single-cell genome-wide variation in circulating tumor cells and summarizes the application of single-cell sequencing technology to tumor typing, metastasis analysis, progression detection, and adjuvant therapy.
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Affiliation(s)
- Jiasheng Xu
- Department of Oncology, Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, No.1558, Sanhuan North Road, Wuxing District Zhejiang Province, Huzhou, China.,Department of Vascular Surgery, the Second Affiliated Hospital of Nanchang University, No. 1 Minde Road, Nanchang, 330006, Jiangxi, China
| | - Kaili Liao
- Department of Clinical Laboratory, the Second Affiliated Hospital of Nanchang University, No. 1 Minde Road, Nanchang, 330006, Jiangxi, China
| | - Xi Yang
- Department of Oncology, Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, No.1558, Sanhuan North Road, Wuxing District Zhejiang Province, Huzhou, China
| | - Chengfeng Wu
- Department of Vascular Surgery, the Second Affiliated Hospital of Nanchang University, No. 1 Minde Road, Nanchang, 330006, Jiangxi, China
| | - Wei Wu
- Department of Gastroenterology, Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, No.1558, Sanhuan North Road, Wuxing District Zhejiang Province, 313000, Huzhou, China
| | - Shuwen Han
- Department of Oncology, Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, No.1558, Sanhuan North Road, Wuxing District Zhejiang Province, Huzhou, China.
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34
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Regnault B, Bigot T, Ma L, Pérot P, Temmam S, Eloit M. Deep Impact of Random Amplification and Library Construction Methods on Viral Metagenomics Results. Viruses 2021; 13:v13020253. [PMID: 33562285 PMCID: PMC7915491 DOI: 10.3390/v13020253] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Revised: 01/27/2021] [Accepted: 02/03/2021] [Indexed: 12/16/2022] Open
Abstract
Clinical metagenomics is a broad-range agnostic detection method of pathogens, including novel microorganisms. A major limit is the low pathogen load compared to the high background of host nucleic acids. To overcome this issue, several solutions exist, such as applying a very high depth of sequencing, or performing a relative enrichment of viral genomes associated with capsids. At the end, the quantity of total nucleic acids is often below the concentrations recommended by the manufacturers of library kits, which necessitates to random amplify nucleic acids. Using a pool of 26 viruses representative of viral diversity, we observed a deep impact of the nature of sample (total nucleic acids versus RNA only), the reverse transcription, the random amplification and library construction method on virus recovery. We further optimized the two most promising methods and assessed their performance with fully characterized reference virus stocks. Good genome coverage and limit of detection lower than 100 or 1000 genome copies per mL of plasma, depending on the genome viral type, were obtained from a three million reads dataset. Our study reveals that optimized random amplification is a technique of choice when insufficient amounts of nucleic acid are available for direct libraries constructions.
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Affiliation(s)
- Béatrice Regnault
- Pathogen Discovery Laboratory, Institut Pasteur, 75015 Paris, France; (B.R.); (P.P.); (S.T.)
| | - Thomas Bigot
- Bioinformatics and Biostatistics Hub, Computational Biology Department, Institut Pasteur, 75015 Paris, France;
| | - Laurence Ma
- Biomics Platform, C2RT, Institut Pasteur, 75015 Paris, France;
| | - Philippe Pérot
- Pathogen Discovery Laboratory, Institut Pasteur, 75015 Paris, France; (B.R.); (P.P.); (S.T.)
| | - Sarah Temmam
- Pathogen Discovery Laboratory, Institut Pasteur, 75015 Paris, France; (B.R.); (P.P.); (S.T.)
| | - Marc Eloit
- Pathogen Discovery Laboratory, Institut Pasteur, 75015 Paris, France; (B.R.); (P.P.); (S.T.)
- Ecole Nationale Vétérinaire d’Alfort, 94700 Maisons-Alfort, France
- Correspondence: ; Tel.: +33-1-44-38-92-16
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35
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Bisulfite-free epigenomics and genomics of single cells through methylation-sensitive restriction. Commun Biol 2021; 4:153. [PMID: 33526904 PMCID: PMC7851132 DOI: 10.1038/s42003-021-01661-w] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2019] [Accepted: 01/06/2021] [Indexed: 12/15/2022] Open
Abstract
Single-cell multi-omics are powerful means to study cell-to-cell heterogeneity. Here, we present a single-tube, bisulfite-free method for the simultaneous, genome-wide analysis of DNA methylation and genetic variants in single cells: epigenomics and genomics of single cells analyzed by restriction (epi-gSCAR). By applying this method, we obtained DNA methylation measurements of up to 506,063 CpGs and up to 1,244,188 single-nucleotide variants from single acute myeloid leukemia-derived cells. We demonstrate that epi-gSCAR generates accurate and reproducible measurements of DNA methylation and allows to differentiate between cell lines based on the DNA methylation and genetic profiles.
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36
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Garcia-Heredia I, Bhattacharjee AS, Fornas O, Gomez ML, Martínez JM, Martinez-Garcia M. Benchmarking of single-virus genomics: a new tool for uncovering the virosphere. Environ Microbiol 2021; 23:1584-1593. [PMID: 33368907 DOI: 10.1111/1462-2920.15375] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Revised: 12/11/2020] [Accepted: 12/20/2020] [Indexed: 01/03/2023]
Abstract
Metagenomics and single-cell genomics have enabled the discovery of relevant uncultured microbes. Recently, single-virus genomics (SVG), although still in an incipient stage, has opened new avenues in viral ecology by allowing the sequencing of one single virus at a time. The investigation of methodological alternatives and optimization of existing procedures for SVG is paramount to deliver high-quality genomic data. We report a sequencing dataset of viral single-amplified genomes (vSAGs) from cultured and uncultured viruses obtained by applying different conditions in each SVG step, from viral preservation and novel whole-genome amplification (WGA) to sequencing platforms and genome assembly. Sequencing data showed that cryopreservation and mild fixation were compatible with WGA, although fresh samples delivered better genome quality data. The novel TruPrime WGA, based on primase-polymerase features, and WGA-X employing a thermostable phi29 polymerase, were proven to be with sufficient sensitivity in SVG. The Oxford Nanopore (ON) sequencing platform did not provide a significant improvement of vSAG assembly compared to Illumina alone. Finally, the SPAdes assembler performed the best. Overall, our results represent a valuable genomic dataset that will help to standardized and advance new tools in viral ecology.
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Affiliation(s)
| | | | - Oscar Fornas
- Flow Cytometry Unit, Centre for Genomic Regulation (CRG), The Barcelona Institute for Science and Technology (BIST), Barcelona, Spain.,Flow Cytometry Unit, Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Monica L Gomez
- Department of Physiology, Genetics, and Microbiology, University of Alicante, Alicante, Spain
| | | | - Manuel Martinez-Garcia
- Department of Physiology, Genetics, and Microbiology, University of Alicante, Alicante, Spain
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37
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Long N, Qiao Y, Xu Z, Tu J, Lu Z. Recent advances and application in whole-genome multiple displacement amplification. QUANTITATIVE BIOLOGY 2020. [DOI: 10.1007/s40484-020-0217-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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38
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Khan P, Aufdembrink LM, Engelhart AE. Isothermal SARS-CoV-2 Diagnostics: Tools for Enabling Distributed Pandemic Testing as a Means of Supporting Safe Reopenings. ACS Synth Biol 2020; 9:2861-2880. [PMID: 32966744 PMCID: PMC7552996 DOI: 10.1021/acssynbio.0c00359] [Citation(s) in RCA: 48] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2020] [Indexed: 02/06/2023]
Abstract
The COVID-19 pandemic, caused by the SARS-CoV-2 virus, poses grave threats to both the global economy and health. The predominant diagnostic screens in use for SARS-CoV-2 detection are molecular techniques such as nucleic acid amplification tests. In this Review, we compare current and emerging isothermal diagnostic methods for COVID-19. We outline the molecular and serological techniques currently being used to detect SARS-CoV-2 infection, past or present, in patients. We also discuss ongoing research on isothermal techniques, CRISPR-mediated detection assays, and point-of-care diagnostics that have potential for use in SARS-CoV-2 detection. Large-scale viral testing during a global pandemic presents unique challenges, chief among them the simultaneous need for testing supplies, durable equipment, and personnel in many regions worldwide, with each of these regions possessing testing needs that vary as the pandemic progresses. The low-cost isothermal technologies described in this Review provide a promising means by which to address these needs and meet the global need for testing of symptomatic individuals as well as provide a possible means for routine testing of asymptomatic individuals, providing a potential means of safely enabling reopenings and early monitoring of outbreaks.
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Affiliation(s)
- Pavana Khan
- Department of Genetics, Cell Biology, and Development,
University of Minnesota, 6-160 Jackson Hall, 321 Church
Street SE, Minneapolis, Minnesota 55455, United States
| | - Lauren M. Aufdembrink
- Department of Genetics, Cell Biology, and Development,
University of Minnesota, 6-160 Jackson Hall, 321 Church
Street SE, Minneapolis, Minnesota 55455, United States
| | - Aaron E. Engelhart
- Department of Genetics, Cell Biology, and Development,
University of Minnesota, 6-160 Jackson Hall, 321 Church
Street SE, Minneapolis, Minnesota 55455, United States
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39
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García‐Quintans N, Baquedano I, Blesa A, Verdú C, Berenguer J, Mencía M. A thermostable DNA primase-polymerase from a mobile genetic element involved in defence against environmental DNA. Environ Microbiol 2020; 22:4647-4657. [PMID: 32830367 PMCID: PMC7693054 DOI: 10.1111/1462-2920.15207] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Revised: 08/17/2020] [Accepted: 08/18/2020] [Indexed: 11/21/2022]
Abstract
Primase-polymerases (Ppol) are one of the few enzymes able to start DNA synthesis on ssDNA templates. The role of Thermus thermophilus HB27 Ppol, encoded along a putative helicase (Hel) within a mobile genetic element (ICETh2), has been studied. A mutant lacking Ppol showed no effects on the replication of the element. Also, no apparent differences in the sensitivity to DNA damaging agents and other stressors or morphological changes in the mutant cells were detected. However, the mutants lacking Ppol showed an increase in two to three orders of magnitude in their transformation efficiency with plasmids and genomic DNA acquired from the environment (eDNA), independently of its origin and G + C content. In contrast, no significant differences with the wild type were detected when the cells received the DNA from other T. thermophilus partners in conjugation-like mating experiments. The similarities of this behaviour with that shown by mutants lacking the Argonaute (ThAgo) protein suggests a putative partnership Ppol-ThAgo in the DNA-DNA interference mechanism of defence, although other eDNA defence mechanisms independent of ThAgo cannot be discarded.
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Affiliation(s)
- Nieves García‐Quintans
- Centro de Biología Molecular Severo Ochoa (CBMSO)Universidad Autónoma de Madrid‐Consejo Superior de Investigaciones CientíficasMadrid28049Spain
| | - Ignacio Baquedano
- Centro de Biología Molecular Severo Ochoa (CBMSO)Universidad Autónoma de Madrid‐Consejo Superior de Investigaciones CientíficasMadrid28049Spain
| | - Alba Blesa
- Department of Biotechnology, Faculty of Experimental SciencesUniversidad Francisco de VitoriaMadrid28223Spain
| | - Carlos Verdú
- Centro de Biología Molecular Severo Ochoa (CBMSO)Universidad Autónoma de Madrid‐Consejo Superior de Investigaciones CientíficasMadrid28049Spain
| | - José Berenguer
- Centro de Biología Molecular Severo Ochoa (CBMSO)Universidad Autónoma de Madrid‐Consejo Superior de Investigaciones CientíficasMadrid28049Spain
| | - Mario Mencía
- Centro de Biología Molecular Severo Ochoa (CBMSO)Universidad Autónoma de Madrid‐Consejo Superior de Investigaciones CientíficasMadrid28049Spain
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40
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Abstract
The human oral cavity is one of the first environments where microbes have been discovered and studied since the dawn of microbiology. Nevertheless, approximately 200 types of bacteria from the oral microbiota have remained uncultured in the laboratory. Some are associated with a healthy oral microbial community, while others are linked to oral diseases, from dental caries to gum disease. Single-cell genomics has enabled inferences on the physiology, virulence, and evolution of such uncultured microorganisms and has further enabled isolation and cultivation of several novel oral bacteria, including the discovery of novel interspecies interactions. This review summarizes some of the more recent advances in this field, which is rapidly moving toward physiologic characterization of single cells and ultimately cultivation of the yet uncultured. A combination of traditional microbiological approaches with genomic-based physiologic predictions and isolation strategies may lead to the oral microbiome being the first complex microbial community to have all its members cultivable in the laboratory. Studying the biology of the individual microbes when in association with other members of the community, in controlled laboratory conditions and in vivo, should lead to a better understanding of oral dysbiosis and its prevention and reversion.
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Affiliation(s)
- M Balachandran
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - K L Cross
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
- Department of Biological Sciences, Vanderbilt University, Nashville, TN, USA
| | - M Podar
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
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41
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Liu C, Cui X, Zhao BS, Narkhede P, Gao Y, Liu J, Dou X, Dai Q, Zhang LS, He C. DNA 5-Methylcytosine-Specific Amplification and Sequencing. J Am Chem Soc 2020; 142:4539-4543. [PMID: 32077696 DOI: 10.1021/jacs.9b12707] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
DNA 5-methylcytosine (5mC)-specific mapping has been hampered by severe DNA degradation and the presence of 5-hydroxymethylcytosine (5hmC) using the conventional bisulfite sequencing approach. Here, we present a 5mC-specific whole-genome amplification method (5mC-WGA), with which we achieved 5mC retention during DNA amplification from limited input down to 10 pg scale with limited interference from 5hmC signals, providing DNA 5mC methylome with high reproducibility and accuracy.
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Affiliation(s)
- Chang Liu
- Department of Chemistry, Department of Biochemistry and Molecular Biology, and Institute for Biophysical Dynamics, The University of Chicago, Chicago, Illinois 60637, United States.,Howard Hughes Medical Institute, The University of Chicago, Chicago, Illinois 60637, United States
| | - Xiaolong Cui
- Department of Chemistry, Department of Biochemistry and Molecular Biology, and Institute for Biophysical Dynamics, The University of Chicago, Chicago, Illinois 60637, United States.,Howard Hughes Medical Institute, The University of Chicago, Chicago, Illinois 60637, United States
| | - Boxuan Simen Zhao
- Department of Genetics, Stanford University, Stanford, California 94305, United States
| | - Pradnya Narkhede
- Department of Chemistry, University of Cambridge, Cambridge CB2 0SP, U.K
| | - Yawei Gao
- Clinical and Translational Research Center of Shanghai First Maternity and Infant Hospital, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China
| | - Jun Liu
- Department of Chemistry, Department of Biochemistry and Molecular Biology, and Institute for Biophysical Dynamics, The University of Chicago, Chicago, Illinois 60637, United States.,Howard Hughes Medical Institute, The University of Chicago, Chicago, Illinois 60637, United States
| | - Xiaoyang Dou
- Department of Chemistry, Department of Biochemistry and Molecular Biology, and Institute for Biophysical Dynamics, The University of Chicago, Chicago, Illinois 60637, United States.,Howard Hughes Medical Institute, The University of Chicago, Chicago, Illinois 60637, United States
| | - Qing Dai
- Department of Chemistry, Department of Biochemistry and Molecular Biology, and Institute for Biophysical Dynamics, The University of Chicago, Chicago, Illinois 60637, United States.,Howard Hughes Medical Institute, The University of Chicago, Chicago, Illinois 60637, United States
| | - Li-Sheng Zhang
- Department of Chemistry, Department of Biochemistry and Molecular Biology, and Institute for Biophysical Dynamics, The University of Chicago, Chicago, Illinois 60637, United States.,Howard Hughes Medical Institute, The University of Chicago, Chicago, Illinois 60637, United States
| | - Chuan He
- Department of Chemistry, Department of Biochemistry and Molecular Biology, and Institute for Biophysical Dynamics, The University of Chicago, Chicago, Illinois 60637, United States.,Howard Hughes Medical Institute, The University of Chicago, Chicago, Illinois 60637, United States
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42
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Lähnemann D, Köster J, Szczurek E, McCarthy DJ, Hicks SC, Robinson MD, Vallejos CA, Campbell KR, Beerenwinkel N, Mahfouz A, Pinello L, Skums P, Stamatakis A, Attolini CSO, Aparicio S, Baaijens J, Balvert M, Barbanson BD, Cappuccio A, Corleone G, Dutilh BE, Florescu M, Guryev V, Holmer R, Jahn K, Lobo TJ, Keizer EM, Khatri I, Kielbasa SM, Korbel JO, Kozlov AM, Kuo TH, Lelieveldt BP, Mandoiu II, Marioni JC, Marschall T, Mölder F, Niknejad A, Rączkowska A, Reinders M, Ridder JD, Saliba AE, Somarakis A, Stegle O, Theis FJ, Yang H, Zelikovsky A, McHardy AC, Raphael BJ, Shah SP, Schönhuth A. Eleven grand challenges in single-cell data science. Genome Biol 2020; 21:31. [PMID: 32033589 PMCID: PMC7007675 DOI: 10.1186/s13059-020-1926-6] [Citation(s) in RCA: 565] [Impact Index Per Article: 141.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2019] [Accepted: 01/02/2020] [Indexed: 02/08/2023] Open
Abstract
The recent boom in microfluidics and combinatorial indexing strategies, combined with low sequencing costs, has empowered single-cell sequencing technology. Thousands-or even millions-of cells analyzed in a single experiment amount to a data revolution in single-cell biology and pose unique data science problems. Here, we outline eleven challenges that will be central to bringing this emerging field of single-cell data science forward. For each challenge, we highlight motivating research questions, review prior work, and formulate open problems. This compendium is for established researchers, newcomers, and students alike, highlighting interesting and rewarding problems for the coming years.
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Affiliation(s)
- David Lähnemann
- Algorithms for Reproducible Bioinformatics, Genome Informatics, Institute of Human Genetics, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
- Department of Paediatric Oncology, Haematology and Immunology, Medical Faculty, Heinrich Heine University, University Hospital, Düsseldorf, Germany
- Computational Biology of Infection Research Group, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Johannes Köster
- Algorithms for Reproducible Bioinformatics, Genome Informatics, Institute of Human Genetics, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
- Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, USA
| | - Ewa Szczurek
- Institute of Informatics, Faculty of Mathematics, Informatics and Mechanics, University of Warsaw, Warszawa, Poland
| | - Davis J. McCarthy
- Bioinformatics and Cellular Genomics, St Vincent’s Institute of Medical Research, Fitzroy, Australia
- Melbourne Integrative Genomics, School of BioSciences–School of Mathematics & Statistics, Faculty of Science, University of Melbourne, Melbourne, Australia
| | - Stephanie C. Hicks
- Department of Biostatistics, Johns Hopkins University, Baltimore, MD USA
| | - Mark D. Robinson
- Institute of Molecular Life Sciences and SIB Swiss Institute of Bioinformatics, University of Zürich, Zürich, Switzerland
| | - Catalina A. Vallejos
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh, UK
- The Alan Turing Institute, British Library, London, UK
| | - Kieran R. Campbell
- Department of Statistics, University of British Columbia, Vancouver, Canada
- Department of Molecular Oncology, BC Cancer Agency, Vancouver, Canada
- Data Science Institute, University of British Columbia, Vancouver, Canada
| | - Niko Beerenwinkel
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland
- SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Ahmed Mahfouz
- Leiden Computational Biology Center, Leiden University Medical Center, Leiden, The Netherlands
- Delft Bioinformatics Lab, Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, Delft, The Netherlands
| | - Luca Pinello
- Molecular Pathology Unit and Center for Cancer Research, Massachusetts General Hospital Research Institute, Charlestown, USA
- Department of Pathology, Harvard Medical School, Boston, USA
- Broad Institute of Harvard and MIT, Cambridge, MA USA
| | - Pavel Skums
- Department of Computer Science, Georgia State University, Atlanta, USA
| | - Alexandros Stamatakis
- Computational Molecular Evolution Group, Heidelberg Institute for Theoretical Studies, Heidelberg, Germany
- Institute for Theoretical Informatics, Karlsruhe Institute of Technology, Karlsruhe, Germany
| | | | - Samuel Aparicio
- Department of Molecular Oncology, BC Cancer Agency, Vancouver, Canada
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, Canada
| | - Jasmijn Baaijens
- Life Sciences and Health, Centrum Wiskunde & Informatica, Amsterdam, The Netherlands
| | - Marleen Balvert
- Life Sciences and Health, Centrum Wiskunde & Informatica, Amsterdam, The Netherlands
- Theoretical Biology and Bioinformatics, Science for Life, Utrecht University, Utrecht, The Netherlands
| | - Buys de Barbanson
- Center for Molecular Medicine, University Medical Center Utrecht, Utrecht, The Netherlands
- Oncode Institute, Utrecht, The Netherlands
- Quantitative biology, Hubrecht Institute, Utrecht, The Netherlands
| | - Antonio Cappuccio
- Institute for Advanced Study, University of Amsterdam, Amsterdam, The Netherlands
| | - Giacomo Corleone
- Department of Surgery and Cancer, The Imperial Centre for Translational and Experimental Medicine, Imperial College London, London, UK
| | - Bas E. Dutilh
- Theoretical Biology and Bioinformatics, Science for Life, Utrecht University, Utrecht, The Netherlands
- Centre for Molecular and Biomolecular Informatics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Maria Florescu
- Center for Molecular Medicine, University Medical Center Utrecht, Utrecht, The Netherlands
- Oncode Institute, Utrecht, The Netherlands
- Quantitative biology, Hubrecht Institute, Utrecht, The Netherlands
| | - Victor Guryev
- European Research Institute for the Biology of Ageing, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Rens Holmer
- Bioinformatics Group, Wageningen University, Wageningen, The Netherlands
| | - Katharina Jahn
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland
- SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Thamar Jessurun Lobo
- European Research Institute for the Biology of Ageing, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Emma M. Keizer
- Biometris, Wageningen University & Research, Wageningen, The Netherlands
| | - Indu Khatri
- Department of Immunohematology and Blood Transfusion, Leiden University Medical Center, Leiden, The Netherlands
| | - Szymon M. Kielbasa
- Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
| | - Jan O. Korbel
- Genome Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Alexey M. Kozlov
- Computational Molecular Evolution Group, Heidelberg Institute for Theoretical Studies, Heidelberg, Germany
| | - Tzu-Hao Kuo
- Computational Biology of Infection Research Group, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Boudewijn P.F. Lelieveldt
- PRB lab, Delft University of Technology, Delft, The Netherlands
- Division of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Ion I. Mandoiu
- Computer Science & Engineering Department, University of Connecticut, Storrs, USA
| | - John C. Marioni
- Cancer Research UK Cambridge Institute, Li Ka Shing Centre, University of Cambridge, Cambridge, UK
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, UK
- European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK
| | - Tobias Marschall
- Center for Bioinformatics, Saarland University, Saarbrücken, Germany
- Max Planck Institute for Informatics, Saarbrücken, Germany
| | - Felix Mölder
- Algorithms for Reproducible Bioinformatics, Genome Informatics, Institute of Human Genetics, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
- Institute of Pathology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Amir Niknejad
- Computation molecular design, Zuse Institute Berlin, Berlin, Germany
- Mathematics Department, Mount Saint Vincent, New York, USA
| | - Alicja Rączkowska
- Institute of Informatics, Faculty of Mathematics, Informatics and Mechanics, University of Warsaw, Warszawa, Poland
| | - Marcel Reinders
- Leiden Computational Biology Center, Leiden University Medical Center, Leiden, The Netherlands
- Delft Bioinformatics Lab, Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, Delft, The Netherlands
| | - Jeroen de Ridder
- Center for Molecular Medicine, University Medical Center Utrecht, Utrecht, The Netherlands
- Oncode Institute, Utrecht, The Netherlands
| | - Antoine-Emmanuel Saliba
- Helmholtz Institute for RNA-based Infection Research, Helmholtz-Center for Infection Research, Würzburg, Germany
| | - Antonios Somarakis
- Division of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Oliver Stegle
- Genome Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
- European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK
- Division of Computational Genomics and Systems Genetics, German Cancer Research Center–DKFZ, Heidelberg, Germany
| | - Fabian J. Theis
- Institute of Computational Biology, Helmholtz Zentrum München–German Research Center for Environmental Health, Neuherberg, Germany
| | - Huan Yang
- Division of Drug Discovery and Safety, Leiden Academic Center for Drug Research–LACDR–Leiden University, Leiden, The Netherlands
| | - Alex Zelikovsky
- Department of Computer Science, Georgia State University, Atlanta, USA
- The Laboratory of Bioinformatics, I.M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Alice C. McHardy
- Computational Biology of Infection Research Group, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | | | - Sohrab P. Shah
- Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, USA
| | - Alexander Schönhuth
- Life Sciences and Health, Centrum Wiskunde & Informatica, Amsterdam, The Netherlands
- Theoretical Biology and Bioinformatics, Science for Life, Utrecht University, Utrecht, The Netherlands
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Circle-Seq: Isolation and Sequencing of Chromosome-Derived Circular DNA Elements in Cells. Methods Mol Biol 2020; 2119:165-181. [PMID: 31989524 DOI: 10.1007/978-1-0716-0323-9_15] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Chromosome-derived extrachromosomal circular DNA elements (eccDNAs) are detected in all eukaryotes examined so far. Here I describe the Circle-Seq protocol, applicable for physical enrichment of eccDNAs of a broad size range, combined with sequence confirmation of circular structures.Briefly, by concise alkaline treatment and gentle gravity flow-through an ion-exchange column, eccDNAs are enriched in the eluate fraction. EccDNAs are enzymatically isolated by extensive Plasmid-Safe DNase digestion of linear chromosomes and further enriched by φ29 rolling circle amplification. By means of high throughput sequencing of amplified eccDNA and custom eccDNA mapping software, around ten-thousand unique eccDNA types could be detected at nucleotide resolution in a million human muscle nuclei by this method.
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44
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Baquedano I, Mencía M, Blesa A, Burrus V, Berenguerfi J. ICETh1 and ICETh2, two interdependent mobile genetic elements in Thermus thermophilus transjugation. Environ Microbiol 2019; 22:158-169. [PMID: 31715642 DOI: 10.1111/1462-2920.14833] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2019] [Revised: 10/10/2019] [Accepted: 10/17/2019] [Indexed: 11/27/2022]
Abstract
Cell to cell DNA transfer between Thermus thermophilus, or transjugation, requires the natural competence apparatus (NCA) of the recipient cell and a DNA donation machinery in the donor. In T. thermophilus HB27, two mobile genetic elements with functional similarities to Integrative and Conjugative Elements (ICEs) coexist, ICETh1 encoding the DNA transfer apparatus and ICETh2, encoding a putative replication module. Here, we demonstrate that excision and integration of both elements depend on a single tyrosine recombinase encoded by ICETh2, and that excision is not required but improves the transfer of these elements to a recipient cell. These findings along with previous results suggest that ICETh1 and ICETh2 depend on each other for spreading among T. thermophilus by transjugation.
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Affiliation(s)
- Ignacio Baquedano
- Centro de Biología Molecular Severo Ochoa (CBMSO), Universidad Autónoma de Madrid-Consejo Superior de Investigaciones Científicas, Madrid, 28049, Spain
| | - Mario Mencía
- Centro de Biología Molecular Severo Ochoa (CBMSO), Universidad Autónoma de Madrid-Consejo Superior de Investigaciones Científicas, Madrid, 28049, Spain
| | - Alba Blesa
- Department of Biotechnology, Faculty of Experimental Sciences, Universidad Francisco de Vitoria, Madrid, 28223, Spain
| | - Vincent Burrus
- Département de Biologie, Université de Sherbrooke, Sherbrooke, QC, Canada
| | - José Berenguerfi
- Centro de Biología Molecular Severo Ochoa (CBMSO), Universidad Autónoma de Madrid-Consejo Superior de Investigaciones Científicas, Madrid, 28049, Spain
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45
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Castillo YM, Mangot J, Benites LF, Logares R, Kuronishi M, Ogata H, Jaillon O, Massana R, Sebastián M, Vaqué D. Assessing the viral content of uncultured picoeukaryotes in the global‐ocean by single cell genomics. Mol Ecol 2019; 28:4272-4289. [DOI: 10.1111/mec.15210] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2019] [Revised: 07/23/2019] [Accepted: 08/01/2019] [Indexed: 12/25/2022]
Affiliation(s)
- Yaiza M. Castillo
- Department of Marine Biology and Oceanography Institute of Marine Sciences (ICM) CSIC Barcelona Spain
| | - Jean‐François Mangot
- Department of Marine Biology and Oceanography Institute of Marine Sciences (ICM) CSIC Barcelona Spain
| | - Luiz Felipe Benites
- Integrative Biology of Marine Organisms (BIOM) CNRS Oceanological Observatory of Banyuls Sorbonne University Banyuls‐sur‐Mer France
| | - Ramiro Logares
- Department of Marine Biology and Oceanography Institute of Marine Sciences (ICM) CSIC Barcelona Spain
| | - Megumi Kuronishi
- Bioinformatic Center Institute for Chemical Research Kyoto University Uji Japan
| | - Hiroyuki Ogata
- Bioinformatic Center Institute for Chemical Research Kyoto University Uji Japan
| | - Olivier Jaillon
- Génomique Métabolique Genoscope Institut de biologie François Jacob CEA CNRS Université d'Evry Université Paris‐Saclay Evry France
| | - Ramon Massana
- Department of Marine Biology and Oceanography Institute of Marine Sciences (ICM) CSIC Barcelona Spain
| | - Marta Sebastián
- Department of Marine Biology and Oceanography Institute of Marine Sciences (ICM) CSIC Barcelona Spain
- Institute of Oceanography and Global Change (IOCAG) University of Las Palmas de Gran Canaria Telde Spain
| | - Dolors Vaqué
- Department of Marine Biology and Oceanography Institute of Marine Sciences (ICM) CSIC Barcelona Spain
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46
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Taitt CR, Leski TA, Colston SM, Bernal M, Canal E, Regeimbal J, Rios P, Vora GJ. A comparison of methods for DNA preparation prior to microarray analysis. Anal Biochem 2019; 585:113405. [PMID: 31445900 DOI: 10.1016/j.ab.2019.113405] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2019] [Revised: 08/21/2019] [Accepted: 08/21/2019] [Indexed: 01/30/2023]
Abstract
Microarrays are a valuable tool for analysis of both bacterial and eukaryotic nucleic acids. As many of these applications use non-specific amplification to increase sample concentration prior to analysis, the methods used to fragment and label large amplicons are important to achieve the desired analytical selectivity and specificity. Here, we used eight sequenced ESKAPE pathogens to determine the effect of two methods of whole genome amplicon fragmentation and three methods of subsequent labeling on microarray performance; nick translation was also assessed. End labeling of both initial DNase I-treated and sonication-fragmented amplicons failed to provide detectable material for a significant number of sequence-confirmed genes. However, processing of amplicons by nick translation, or by sequential fragmentation and labeling by Universal Labeling System or Klenow fragment/random primer provided good sensitivity and selectivity, with marginally better results obtained by Klenow fragment labeling. Nick-translation provided 91-100% sensitivity and 100% specificity in the tested strains, requiring half as many manipulations and less than 4h to process samples for hybridization; full sample processing from whole genome amplification to final data analysis could be performed in less than 10h. The method of template denaturation before amplification did affect detection sensitivity/selectivity of nick-labeled amplicons, however.
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Affiliation(s)
- Chris R Taitt
- Center for BioMolecular Science & Engineering, US Naval Research Laboratory, Washington, DC, USA.
| | - Tomasz A Leski
- Center for BioMolecular Science & Engineering, US Naval Research Laboratory, Washington, DC, USA
| | - Sophie M Colston
- National Research Council Research Associateship Program, Washington, DC, 20001, USA
| | | | | | | | | | - Gary J Vora
- Center for BioMolecular Science & Engineering, US Naval Research Laboratory, Washington, DC, USA
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47
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Martínez-Jiménez MI, Calvo PA, García-Gómez S, Guerra-González S, Blanco L. The Zn-finger domain of human PrimPol is required to stabilize the initiating nucleotide during DNA priming. Nucleic Acids Res 2019; 46:4138-4151. [PMID: 29608762 PMCID: PMC5934617 DOI: 10.1093/nar/gky230] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2018] [Accepted: 03/19/2018] [Indexed: 11/30/2022] Open
Abstract
Human PrimPol is a monomeric enzyme whose DNA primase activity is required to rescue stalled replication forks during nuclear and mitochondrial DNA replication. PrimPol contains an Archeal-Eukaryotic Primases (AEP) core followed by a C-terminal Zn finger-containing domain (ZnFD), that is exclusively required for primer formation and for PrimPol function in vivo. The present study describes the sequential substrate interactions of human PrimPol during primer synthesis, and the relevance of the ZnFD at each individual step. Both the formation of a PrimPol:ssDNA binary complex and the upcoming interaction with the 3′-nucleotide (pre-ternary complex) remained intact when lacking the ZnFD. Conversely, the ZnFD was required for the subsequent binding and selection of the 5′-nucleotide that will become the first nucleotide of the new primer strand. Providing different 5′-site nucleotides, we can conclude that the ZnFD of PrimPol most likely interacts with the γ-phosphate moiety of the 5′-site nucleotide, optimizing formation of the initial dimer. Moreover, the ZnFD also contributes to recognize the cryptic G at the preferred priming sequence 3′GTC5′. Dimer elongation to obtain long DNA primers occurs processively and is facilitated by the 5′-terminal triphosphate, indicating that the ZnFD is also essential in the subsequent translocation/elongation events during DNA primer synthesis.
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Affiliation(s)
- María I Martínez-Jiménez
- Centro de Biología Molecular Severo Ochoa (CSIC-UAM), c/ Nicolás Cabrera 1, 28049 Cantoblanco, Madrid, Spain
| | - Patricia A Calvo
- Centro de Biología Molecular Severo Ochoa (CSIC-UAM), c/ Nicolás Cabrera 1, 28049 Cantoblanco, Madrid, Spain
| | - Sara García-Gómez
- Centro de Biología Molecular Severo Ochoa (CSIC-UAM), c/ Nicolás Cabrera 1, 28049 Cantoblanco, Madrid, Spain
| | - Susana Guerra-González
- Centro de Biología Molecular Severo Ochoa (CSIC-UAM), c/ Nicolás Cabrera 1, 28049 Cantoblanco, Madrid, Spain
| | - Luis Blanco
- Centro de Biología Molecular Severo Ochoa (CSIC-UAM), c/ Nicolás Cabrera 1, 28049 Cantoblanco, Madrid, Spain
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48
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Blanco L, Calvo PA, Diaz-Talavera A, Carvalho G, Calero N, Martínez-Carrón A, Velázquez-Ruiz C, Villadangos S, Guerra S, Martínez-Jiménez MI. Mechanism of DNA primer synthesis by human PrimPol. Enzymes 2019; 45:289-310. [PMID: 31627881 DOI: 10.1016/bs.enz.2019.06.003] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
PrimPol is the second primase discovered in eukaryotic cells, whose function is to restart the stalled replication forks during both mitochondrial and nuclear DNA replication. This chapter revises our current knowledge about the mechanism of synthesis of DNA primers by human PrimPol, and the importance of its distinctive Zn-finger domain (ZnFD). After PrimPol forms a binary complex with ssDNA, the formation of the pre-ternary complex strictly requires the presence of Mn2+ ions to stabilize the interaction of the incoming deoxynucleotide at the 3'-site. The capacity to bind both ssDNA template and 3'-deoxynucleotide was shown to reside in the AEP core of PrimPol, with ZnFD being dispensable at these two early steps of the primase reaction. Sugar selection favoring dNTPs versus NTPs at the 3' site is mediated by a specific tyrosine (Tyr100) acting as a steric gate. Besides, a specific glutamate residue (Glu116) conforming a singular A motif (DxE) promotes the use of Mn2+ to stabilize the pre-ternary complex. Mirroring the function of the PriL subunit of dimeric AEP primases, the ZnFD of PrimPol is crucial to stabilize the initiating 5'-nucleotide, specifically interacting with the gamma-phosphate. Such an interaction is crucial to optimize dimer formation and the subsequent translocation events leading to the processive synthesis of a mature DNA primer. Finally, the capacity of PrimPol to tolerate lesions is discussed in the context of its DNA primase function, and its potential as a TLS primase.
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Affiliation(s)
- Luis Blanco
- Centro de Biología Molecular Severo Ochoa, CSIC-UAM, Madrid, Spain.
| | - Patricia A Calvo
- Centro de Biología Molecular Severo Ochoa, CSIC-UAM, Madrid, Spain
| | | | - Gustavo Carvalho
- Centro de Biología Molecular Severo Ochoa, CSIC-UAM, Madrid, Spain
| | - Nieves Calero
- Centro de Biología Molecular Severo Ochoa, CSIC-UAM, Madrid, Spain
| | | | | | | | - Susana Guerra
- Centro de Biología Molecular Severo Ochoa, CSIC-UAM, Madrid, Spain
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49
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Calvo PA, Sastre-Moreno G, Perpiñá C, Guerra S, Martínez-Jiménez MI, Blanco L. The invariant glutamate of human PrimPol DxE motif is critical for its Mn 2+-dependent distinctive activities. DNA Repair (Amst) 2019; 77:65-75. [PMID: 30889508 DOI: 10.1016/j.dnarep.2019.03.006] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2019] [Revised: 03/05/2019] [Accepted: 03/13/2019] [Indexed: 10/27/2022]
Abstract
PrimPol is a human primase/polymerase specialized in downstream repriming of stalled forks during both nuclear and mitochondrial DNA replication. Like most primases and polymerases, PrimPol requires divalent metal cations, as Mg2+ or Mn2+, used as cofactors for catalysis. However, little is known about the consequences of using these two metal cofactors in combination, which would be the most physiological scenario during PrimPol-mediated reactions, and the individual contribution of the putative carboxylate residues (Asp114, Glu116 and Asp280) acting as metal ligands. By site-directed mutagenesis in human PrimPol, we confirmed the catalytic relevance of these three carboxylates, and identified Glu116 as a relevant enhancer of distinctive PrimPol reactions, which are highly dependent on Mn2+. Herein, we evidenced that PrimPol Glu116 contributes to error-prone tolerance of 8oxodG more markedly when both Mg2+ and Mn2+ ions are present. Moreover, Glu116 was important for TLS events mediated by primer/template realignments, and crucial to achieving an optimal primase activity, processes in which Mn2+ is largely preferred. EMSA analysis of PrimPol:ssDNA:dNTP pre-ternary complex indicated a critical role of each metal ligand, and a significant impairment when Glu116 was changed to a more conventional aspartate. These data suggest that PrimPol active site requires a specific motif A (DxE) to favor the use of Mn2+ ions in order to achieve optimal incoming nucleotide stabilization, especially required during primer synthesis.
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Affiliation(s)
- Patricia A Calvo
- Centro de Biología Molecular "Severo Ochoa" (CSIC-UAM) c/Nicolás Cabrera 1, Cantoblanco, 28049, Madrid, Spain
| | - Guillermo Sastre-Moreno
- Centro de Biología Molecular "Severo Ochoa" (CSIC-UAM) c/Nicolás Cabrera 1, Cantoblanco, 28049, Madrid, Spain
| | - Cristina Perpiñá
- Centro de Biología Molecular "Severo Ochoa" (CSIC-UAM) c/Nicolás Cabrera 1, Cantoblanco, 28049, Madrid, Spain
| | - Susana Guerra
- Centro de Biología Molecular "Severo Ochoa" (CSIC-UAM) c/Nicolás Cabrera 1, Cantoblanco, 28049, Madrid, Spain
| | - María I Martínez-Jiménez
- Centro de Biología Molecular "Severo Ochoa" (CSIC-UAM) c/Nicolás Cabrera 1, Cantoblanco, 28049, Madrid, Spain
| | - Luis Blanco
- Centro de Biología Molecular "Severo Ochoa" (CSIC-UAM) c/Nicolás Cabrera 1, Cantoblanco, 28049, Madrid, Spain.
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50
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Hydrogenotrophic methanogenesis in archaeal phylum Verstraetearchaeota reveals the shared ancestry of all methanogens. Proc Natl Acad Sci U S A 2019; 116:5037-5044. [PMID: 30814220 PMCID: PMC6421429 DOI: 10.1073/pnas.1815631116] [Citation(s) in RCA: 107] [Impact Index Per Article: 21.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Methane-producing microorganisms are thought to be among the earliest cellular life forms colonizing our planet, and are major contributors to the past and present global carbon cycle. Currently, all methanogens belong to the archaeal domain of life, and there is compounding evidence for a variety of methanogenic metabolisms among a wide distribution of archaeal phyla. However, the predominantly hydrogenotrophic (CO2-fixing) Euryarchaeota are distinct from the recently discovered methylotrophic (biomass-degrading) noneuryarchaea, making the shared ancestry and origins of all methanogens unclear. We discovered hydrogenotrophic methanogenesis in a thermophilic order of the Verstraetearchaeota, a noneuryarchaeote. The Verstraetearchaeota, hitherto known as methylotrophs, unify the origins of methanogenesis and shed light on how organisms can evolve to adapt from hydrogenotrophic to methylotrophic methane metabolism. Methanogenic archaea are major contributors to the global carbon cycle and were long thought to belong exclusively to the euryarchaeal phylum. Discovery of the methanogenesis gene cluster methyl-coenzyme M reductase (Mcr) in the Bathyarchaeota, and thereafter the Verstraetearchaeota, led to a paradigm shift, pushing back the evolutionary origin of methanogenesis to predate that of the Euryarchaeota. The methylotrophic methanogenesis found in the non-Euryarchaota distinguished itself from the predominantly hydrogenotrophic methanogens found in euryarchaeal orders as the former do not couple methanogenesis to carbon fixation through the reductive acetyl-CoA [Wood–Ljungdahl pathway (WLP)], which was interpreted as evidence for independent evolution of the two methanogenesis pathways. Here, we report the discovery of a complete and divergent hydrogenotrophic methanogenesis pathway in a thermophilic order of the Verstraetearchaeota, which we have named Candidatus Methanohydrogenales, as well as the presence of the WLP in the crenarchaeal order Desulfurococcales. Our findings support the ancient origin of hydrogenotrophic methanogenesis, suggest that methylotrophic methanogenesis might be a later adaptation of specific orders, and provide insight into how the transition from hydrogenotrophic to methylotrophic methanogenesis might have occurred.
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