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Long Q, Zhang P, Ou Y, Li W, Yan Q, Yuan X. Single-cell sequencing advances in research on mesenchymal stem/stromal cells. Hum Cell 2024; 37:904-916. [PMID: 38743204 DOI: 10.1007/s13577-024-01076-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Accepted: 05/04/2024] [Indexed: 05/16/2024]
Abstract
Mesenchymal stem/stromal cells (MSCs), originating from the mesoderm, represent a multifunctional stem cell population capable of differentiating into diverse cell types and exhibiting a wide range of biological functions. Despite more than half a century of research, MSCs continue to be among the most extensively studied cell types in clinical research projects globally. However, their significant heterogeneity and phenotypic instability have significantly hindered their exploration and application. Single-cell sequencing technology emerges as a powerful tool to address these challenges, offering precise dissection of complex cellular samples. It uncovers the genetic structure and gene expression status of individual contained cells on a massive scale and reveals the heterogeneity among these cells. It links the molecular characteristics of MSCs with their clinical applications, contributing to the advancement of regenerative medicine. With the development and cost reduction of single-cell analysis techniques, sequencing technology is now widely applied in fundamental research and clinical trials. This study aimed to review the application of single-cell sequencing in MSC research and assess its prospects.
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Affiliation(s)
- Qingxi Long
- Department of Neurology, Kailuan General Hospital, Affiliated North China University of Science and Technology, Tangshan, 063000, China
| | - Pingshu Zhang
- Department of Neurology, Kailuan General Hospital, Affiliated North China University of Science and Technology, Tangshan, 063000, China
- Hebei Provincial Key Laboratory of Neurobiological Function, Tangshan, 063000, China
| | - Ya Ou
- Department of Neurology, Kailuan General Hospital, Affiliated North China University of Science and Technology, Tangshan, 063000, China
- Hebei Provincial Key Laboratory of Neurobiological Function, Tangshan, 063000, China
| | - Wen Li
- Department of Neurology, Kailuan General Hospital, Affiliated North China University of Science and Technology, Tangshan, 063000, China
| | - Qi Yan
- Department of Neurology, Kailuan General Hospital, Affiliated North China University of Science and Technology, Tangshan, 063000, China
| | - Xiaodong Yuan
- Department of Neurology, Kailuan General Hospital, Affiliated North China University of Science and Technology, Tangshan, 063000, China.
- Hebei Provincial Key Laboratory of Neurobiological Function, Tangshan, 063000, China.
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Yan S, Guo X, Zong Z, Li Y, Li G, Xu J, Jin C, Liu Q. Raman-Activated Cell Ejection for Validating the Reliability of the Raman Fingerprint Database of Foodborne Pathogens. Foods 2024; 13:1886. [PMID: 38928827 PMCID: PMC11203195 DOI: 10.3390/foods13121886] [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: 04/29/2024] [Revised: 06/09/2024] [Accepted: 06/13/2024] [Indexed: 06/28/2024] Open
Abstract
Raman spectroscopy for rapid identification of foodborne pathogens based on phenotype has attracted increasing attention, and the reliability of the Raman fingerprint database through genotypic determination is crucial. In the research, the classification model of four foodborne pathogens was established based on t-distributed stochastic neighbor embedding (t-SNE) and support vector machine (SVM); the recognition accuracy was 97.04%. The target bacteria named by the model were ejected through Raman-activated cell ejection (RACE), and then single-cell genomic DNA was amplified for species analysis. The accuracy of correct matches between the predicted phenotype and the actual genotype of the target cells was at least 83.3%. Furthermore, all anticipant sequencing results brought into correspondence with the species were predicted through the model. In sum, the Raman fingerprint database based on Raman spectroscopy combined with machine learning was reliable and promising in the field of rapid detection of foodborne pathogens.
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Affiliation(s)
- Shuaishuai Yan
- College of Food Science, Shanxi Normal University, Taiyuan 030031, China; (S.Y.); (X.G.); (Z.Z.); (Y.L.); (G.L.); (J.X.)
- School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
| | - Xinru Guo
- College of Food Science, Shanxi Normal University, Taiyuan 030031, China; (S.Y.); (X.G.); (Z.Z.); (Y.L.); (G.L.); (J.X.)
| | - Zheng Zong
- College of Food Science, Shanxi Normal University, Taiyuan 030031, China; (S.Y.); (X.G.); (Z.Z.); (Y.L.); (G.L.); (J.X.)
| | - Yang Li
- College of Food Science, Shanxi Normal University, Taiyuan 030031, China; (S.Y.); (X.G.); (Z.Z.); (Y.L.); (G.L.); (J.X.)
| | - Guoliang Li
- College of Food Science, Shanxi Normal University, Taiyuan 030031, China; (S.Y.); (X.G.); (Z.Z.); (Y.L.); (G.L.); (J.X.)
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi’an 710021, China
| | - Jianguo Xu
- College of Food Science, Shanxi Normal University, Taiyuan 030031, China; (S.Y.); (X.G.); (Z.Z.); (Y.L.); (G.L.); (J.X.)
| | - Chengni Jin
- College of Food Science, Shanxi Normal University, Taiyuan 030031, China; (S.Y.); (X.G.); (Z.Z.); (Y.L.); (G.L.); (J.X.)
| | - Qing Liu
- School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
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Hosokawa M, Nishikawa Y. Tools for microbial single-cell genomics for obtaining uncultured microbial genomes. Biophys Rev 2024; 16:69-77. [PMID: 38495448 PMCID: PMC10937852 DOI: 10.1007/s12551-023-01124-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Accepted: 08/23/2023] [Indexed: 03/19/2024] Open
Abstract
The advent of next-generation sequencing technologies has facilitated the acquisition of large amounts of DNA sequence data at a relatively low cost, leading to numerous breakthroughs in decoding microbial genomes. Among the various genome sequencing activities, metagenomic analysis, which entails the direct analysis of uncultured microbial DNA, has had a profound impact on microbiome research and has emerged as an indispensable technology in this field. Despite its valuable contributions, metagenomic analysis is a "bulk analysis" technique that analyzes samples containing a wide diversity of microbes, such as bacteria, yielding information that is averaged across the entire microbial population. In order to gain a deeper understanding of the heterogeneous nature of the microbial world, there is a growing need for single-cell analysis, similar to its use in human cell biology. With this paradigm shift in mind, comprehensive single-cell genomics technology has become a much-anticipated innovation that is now poised to revolutionize microbiome research. It has the potential to enable the discovery of differences at the strain level and to facilitate a more comprehensive examination of microbial ecosystems. In this review, we summarize the current state-of-the-art in microbial single-cell genomics, highlighting the potential impact of this technology on our understanding of the microbial world. The successful implementation of this technology is expected to have a profound impact in the field, leading to new discoveries and insights into the diversity and evolution of microbes.
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Affiliation(s)
- Masahito Hosokawa
- Department of Life Science and Medical Bioscience, Waseda University, 2-2 Wakamatsu-Cho, Shinjuku-Ku, Tokyo, 162-8480 Japan
- Computational Bio Big-Data Open Innovation Laboratory, National Institute of Advanced Industrial Science and Technology, 3-4-1 Okubo, Shinjuku-Ku, Tokyo, 169-8555 Japan
- Research Organization for Nano and Life Innovation, Waseda University, 513 Wasedatsurumaki-Cho, Shinjuku-Ku, Tokyo, 162-0041 Japan
- Institute for Advanced Research of Biosystem Dynamics, Waseda Research Institute for Science and Engineering, 3-4-1 Okubo, Shinjuku-Ku, Tokyo, 169-8555 Japan
- bitBiome, Inc., 513 Wasedatsurumaki-Cho, Shinjuku-Ku, Tokyo, 162-0041 Japan
| | - Yohei Nishikawa
- Computational Bio Big-Data Open Innovation Laboratory, National Institute of Advanced Industrial Science and Technology, 3-4-1 Okubo, Shinjuku-Ku, Tokyo, 169-8555 Japan
- Research Organization for Nano and Life Innovation, Waseda University, 513 Wasedatsurumaki-Cho, Shinjuku-Ku, Tokyo, 162-0041 Japan
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Jitsuno K, Hoshino T, Nishikawa Y, Kogawa M, Mineta K, Strasser M, Ikehara K, Everest J, Maeda L, Inagaki F, Takeyama H. Comparative single-cell genomics of Atribacterota JS1 in the Japan Trench hadal sedimentary biosphere. mSphere 2024; 9:e0033723. [PMID: 38170974 PMCID: PMC10826368 DOI: 10.1128/msphere.00337-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 11/30/2023] [Indexed: 01/05/2024] Open
Abstract
Deep-sea and subseafloor sedimentary environments host heterotrophic microbial communities that contribute to Earth's carbon cycling. However, the potential metabolic functions of individual microorganisms and their biogeographical distributions in hadal ocean sediments remain largely unexplored. In this study, we conducted single-cell genome sequencing on sediment samples collected from six sites (7,445-8,023 m water depth) along an approximately 500 km transect of the Japan Trench during the International Ocean Discovery Program Expedition 386. A total of 1,886 single-cell amplified genomes (SAGs) were obtained, offering comprehensive genetic insights into sedimentary microbial communities in surface sediments (<1 m depth) above the sulfate-methane transition zone along the Japan Trench. Our genome data set included 269 SAGs from Atribacterota JS1, the predominant bacterial clade in these hadal environments. Phylogenetic analysis classified SAGs into nine distinct phylotypes, whereas metagenome-assembled genomes were categorized into only two phylotypes, advancing JS1 diversity coverage through a single cell-based approach. Comparative genomic analysis of JS1 lineages from different habitats revealed frequent detection of genes related to organic carbon utilization, such as extracellular enzymes like clostripain and α-amylase, and ABC transporters of oligopeptide from Japan Trench members. Furthermore, specific JS1 phylotypes exhibited a strong correlation with in situ methane concentrations and contained genes involved in glycine betaine metabolism. These findings suggest that the phylogenomically diverse and novel Atribacterota JS1 is widely distributed in Japan Trench sediment, playing crucial roles in carbon cycling within the hadal sedimentary biosphere.IMPORTANCEThe Japan Trench represents tectonically active hadal environments associated with Pacific plate subduction beneath the northeastern Japan arc. This study, for the first time, documented a large-scale single-cell and metagenomic survey along an approximately 500 km transect of the Japan Trench, obtaining high-quality genomic information on hadal sedimentary microbial communities. Single-cell genomics revealed the predominance of diverse JS1 lineages not recoverable through conventional metagenomic binning. Their metabolic potential includes genes related to the degradation of organic matter, which contributes to methanogenesis in the deeper layers. Our findings enhance understanding of sedimentary microbial communities at water depths exceeding 7,000 m and provide new insights into the ecological role of biogeochemical carbon cycling in the hadal sedimentary biosphere.
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Affiliation(s)
- Kana Jitsuno
- Graduate School of Advanced Science and Engineering, Waseda University, Shinjuku-ku, Tokyo, Japan
- CBBD-OIL, AIST-Waseda University, Shinjuku-ku, Tokyo, Japan
| | - Tatsuhiko Hoshino
- Kochi Institute for Core Sample Research, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Nankoku, Kochi, Japan
| | - Yohei Nishikawa
- CBBD-OIL, AIST-Waseda University, Shinjuku-ku, Tokyo, Japan
- Research organization for Nano and Life Innovation, Waseda University, Shinjuku-ku, Tokyo, Japan
| | - Masato Kogawa
- Research organization for Nano and Life Innovation, Waseda University, Shinjuku-ku, Tokyo, Japan
| | - Katsuhiko Mineta
- CBBD-OIL, AIST-Waseda University, Shinjuku-ku, Tokyo, Japan
- Research organization for Nano and Life Innovation, Waseda University, Shinjuku-ku, Tokyo, Japan
- Marine Open Innovation Institute, Shizuoka, Japan
| | - Michael Strasser
- Department of Geology, University of Innsbruck, Innsbruck, Austria
| | - Ken Ikehara
- Research Institute of Geology and Geoinformation, AIST Geological Survey of Japan, Tsukuba, Japan
| | | | - Lena Maeda
- Advanced Institute for Marine Ecosystem Change (WPI-AIMEC), JAMSTEC, Yokohama, Japan
| | - Fumio Inagaki
- Research organization for Nano and Life Innovation, Waseda University, Shinjuku-ku, Tokyo, Japan
- Advanced Institute for Marine Ecosystem Change (WPI-AIMEC), JAMSTEC, Yokohama, Japan
- Department of Earth Sciences, Graduate School of Science, Tohoku University, Sendai, Japan
| | - Haruko Takeyama
- Graduate School of Advanced Science and Engineering, Waseda University, Shinjuku-ku, Tokyo, Japan
- CBBD-OIL, AIST-Waseda University, Shinjuku-ku, Tokyo, Japan
- Research organization for Nano and Life Innovation, Waseda University, Shinjuku-ku, Tokyo, Japan
- Institute for Advanced Research of Biosystem Dynamics, Waseda Research Institute for Science and Engineering, Waseda University, Tokyo, Japan
| | - IODP Expedition 386 ScientistsBellanovaPieroBrunetMorganeCaiZhirongCattaneoAntonioHochmuthKatharinaHsiungKanhsiIshizawaTakashiItakiTakuyaJitsunoKanaJohnsonJoelKanamatsuToshiyaKeepMyraKiokaArataMaerzChristianMcHughCeciliaMicallefAaronMinLuoPandeyDhananjaiProustJean NoelRasburyTroyRiedingerNataschaBaoRuiSatoguchiYasufumiSawyerDerekSeibertChloeSilverMaxwellStraubSusanneVirtasaloJoonasWangYonghongWuTing-WeiZellersSarahKöllingMartinHuangJyh-Jaan StevenNagahashiYoshitaka
- Graduate School of Advanced Science and Engineering, Waseda University, Shinjuku-ku, Tokyo, Japan
- CBBD-OIL, AIST-Waseda University, Shinjuku-ku, Tokyo, Japan
- Kochi Institute for Core Sample Research, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Nankoku, Kochi, Japan
- Research organization for Nano and Life Innovation, Waseda University, Shinjuku-ku, Tokyo, Japan
- Marine Open Innovation Institute, Shizuoka, Japan
- Department of Geology, University of Innsbruck, Innsbruck, Austria
- Research Institute of Geology and Geoinformation, AIST Geological Survey of Japan, Tsukuba, Japan
- British Geological Survey, Edinburgh, United Kingdom
- Advanced Institute for Marine Ecosystem Change (WPI-AIMEC), JAMSTEC, Yokohama, Japan
- Department of Earth Sciences, Graduate School of Science, Tohoku University, Sendai, Japan
- Institute for Advanced Research of Biosystem Dynamics, Waseda Research Institute for Science and Engineering, Waseda University, Tokyo, Japan
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Metze F, Vollmers J, Lenk F, Kaster AK. First shotgun metagenomics study of Juan de Fuca deep-sea sediments reveals distinct microbial communities above, within, between, and below sulfate methane transition zones. Front Microbiol 2023; 14:1241810. [PMID: 38053553 PMCID: PMC10694467 DOI: 10.3389/fmicb.2023.1241810] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2023] [Accepted: 10/03/2023] [Indexed: 12/07/2023] Open
Abstract
The marine deep subsurface is home to a vast microbial ecosystem, affecting biogeochemical cycles on a global scale. One of the better-studied deep biospheres is the Juan de Fuca (JdF) Ridge, where hydrothermal fluid introduces oxidants into the sediment from below, resulting in two sulfate methane transition zones (SMTZs). In this study, we present the first shotgun metagenomics study of unamplified DNA from sediment samples from different depths in this stratified environment. Bioinformatic analyses showed a shift from a heterotrophic, Chloroflexota-dominated community above the upper SMTZ to a chemolithoautotrophic Proteobacteria-dominated community below the secondary SMTZ. The reintroduction of sulfate likely enables respiration and boosts active cells that oxidize acetate, iron, and complex carbohydrates to degrade dead biomass in this low-abundance, low-diversity environment. In addition, analyses showed many proteins of unknown function as well as novel metagenome-assembled genomes (MAGs). The study provides new insights into microbial communities in this habitat, enabled by an improved DNA extraction protocol that allows a less biased view of taxonomic composition and metabolic activities, as well as uncovering novel taxa. Our approach presents the first successful attempt at unamplified shotgun sequencing samples from beyond 50 meters below the seafloor and opens new ways for capturing the true diversity and functional potential of deep-sea sediments.
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Affiliation(s)
| | | | | | - Anne-Kristin Kaster
- Institute for Biological Interfaces (IBG 5), Karlsruhe Institute of Technology, Hermann-von-Helmholtz Platz, Karlsruhe, Germany
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Zhang J, Su X, Wang Y, Wang X, Zhou S, Jia H, Jing X, Gong Y, Wang J, Xu J. Improved single-cell genome amplification by a high-efficiency phi29 DNA polymerase. Front Bioeng Biotechnol 2023; 11:1233856. [PMID: 37456715 PMCID: PMC10347390 DOI: 10.3389/fbioe.2023.1233856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Accepted: 06/21/2023] [Indexed: 07/18/2023] Open
Abstract
Single-cell genomic whole genome amplification (WGA) is a crucial step in single-cell sequencing, yet its low amplification efficiency, incomplete and uneven genome amplification still hinder the throughput and efficiency of single-cell sequencing workflows. Here we introduce a process called Improved Single-cell Genome Amplification (iSGA), in which the whole single-cell sequencing cycle is completed in a high-efficient and high-coverage manner, through phi29 DNA polymerase engineering and process engineering. By establishing a disulfide bond of F137C-A377C, the amplification ability of the enzyme was improved to that of single-cell. By further protein engineering and process engineering, a supreme enzyme named HotJa Phi29 DNA Polymerase was developed and showed significantly better coverage (99.75%) at a higher temperature (40°C). High single-cell genome amplification ability and high coverage (93.59%) were also achieved for commercial probiotic samples. iSGA is more efficient and robust than the wild-type phi29 DNA polymerase, and it is 2.03-fold more efficient and 10.89-fold cheaper than the commercial Thermo Scientific EquiPhi29 DNA Polymerase. These advantages promise its broad applications in large-scale single-cell sequencing.
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Affiliation(s)
- Jia Zhang
- Single-Cell Center, CAS Key Laboratory of Biofuels, Shandong Key Laboratory of Energy Genetics, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, China
- Shandong Energy Institute, Qingdao, Shandong, China
- Qingdao New Energy Shandong Laboratory, Qingdao, Shandong, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Xiaolu Su
- Single-Cell Center, CAS Key Laboratory of Biofuels, Shandong Key Laboratory of Energy Genetics, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, China
- Shandong Energy Institute, Qingdao, Shandong, China
- Qingdao New Energy Shandong Laboratory, Qingdao, Shandong, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Yefei Wang
- Shandong Energy Institute, Qingdao, Shandong, China
- Qingdao New Energy Shandong Laboratory, Qingdao, Shandong, China
- University of Chinese Academy of Sciences, Beijing, China
- CAS Key Laboratory of Biofuels and Shandong Key Laboratory of Synthetic Biology, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, China
| | - Xiaohang Wang
- Single-Cell Center, CAS Key Laboratory of Biofuels, Shandong Key Laboratory of Energy Genetics, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, China
- Shandong Energy Institute, Qingdao, Shandong, China
- Qingdao New Energy Shandong Laboratory, Qingdao, Shandong, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Shiqi Zhou
- Single-Cell Center, CAS Key Laboratory of Biofuels, Shandong Key Laboratory of Energy Genetics, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, China
- Shandong Energy Institute, Qingdao, Shandong, China
- Qingdao New Energy Shandong Laboratory, Qingdao, Shandong, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Hui Jia
- Single-Cell Center, CAS Key Laboratory of Biofuels, Shandong Key Laboratory of Energy Genetics, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, China
- Shandong Energy Institute, Qingdao, Shandong, China
- Qingdao New Energy Shandong Laboratory, Qingdao, Shandong, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Xiaoyan Jing
- Single-Cell Center, CAS Key Laboratory of Biofuels, Shandong Key Laboratory of Energy Genetics, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, China
- Shandong Energy Institute, Qingdao, Shandong, China
- Qingdao New Energy Shandong Laboratory, Qingdao, Shandong, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Yanhai Gong
- Single-Cell Center, CAS Key Laboratory of Biofuels, Shandong Key Laboratory of Energy Genetics, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, China
- Shandong Energy Institute, Qingdao, Shandong, China
- Qingdao New Energy Shandong Laboratory, Qingdao, Shandong, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Jichao Wang
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao, Shandong, China
| | - Jian Xu
- Single-Cell Center, CAS Key Laboratory of Biofuels, Shandong Key Laboratory of Energy Genetics, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, China
- Shandong Energy Institute, Qingdao, Shandong, China
- Qingdao New Energy Shandong Laboratory, Qingdao, Shandong, China
- University of Chinese Academy of Sciences, Beijing, China
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Jäger R. Special Issue on Whole Genome Amplification. Int J Mol Sci 2023; 24:ijms24119626. [PMID: 37298576 DOI: 10.3390/ijms24119626] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2023] [Accepted: 05/31/2023] [Indexed: 06/12/2023] Open
Abstract
The development of whole-genome amplification (WGA) techniques has opened up new avenues for genetic analysis and genome research, in particular by facilitating the genome-wide analysis of few or even single copies of genomic DNA, such as from single cells (prokaryotic or eukaryotic) or virions [...].
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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, Hochschule Bonn-Rhein-Sieg, University of Applied Sciences, Grantham Allee 20, 53757 Sankt Augustin, Germany
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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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