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Wu E, Mallawaarachchi V, Zhao J, Yang Y, Liu H, Wang X, Shen C, Lin Y, Qiao L. Contigs directed gene annotation (ConDiGA) for accurate protein sequence database construction in metaproteomics. MICROBIOME 2024; 12:58. [PMID: 38504332 PMCID: PMC10949615 DOI: 10.1186/s40168-024-01775-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Accepted: 02/05/2024] [Indexed: 03/21/2024]
Abstract
BACKGROUND Microbiota are closely associated with human health and disease. Metaproteomics can provide a direct means to identify microbial proteins in microbiota for compositional and functional characterization. However, in-depth and accurate metaproteomics is still limited due to the extreme complexity and high diversity of microbiota samples. It is generally recommended to use metagenomic data from the same samples to construct the protein sequence database for metaproteomic data analysis. Although different metagenomics-based database construction strategies have been developed, an optimization of gene taxonomic annotation has not been reported, which, however, is extremely important for accurate metaproteomic analysis. RESULTS Herein, we proposed an accurate taxonomic annotation pipeline for genes from metagenomic data, namely contigs directed gene annotation (ConDiGA), and used the method to build a protein sequence database for metaproteomic analysis. We compared our pipeline (ConDiGA or MD3) with two other popular annotation pipelines (MD1 and MD2). In MD1, genes were directly annotated against the whole bacterial genome database; in MD2, contigs were annotated against the whole bacterial genome database and the taxonomic information of contigs was assigned to the genes; in MD3, the most confident species from the contigs annotation results were taken as reference to annotate genes. Annotation tools, including BLAST, Kaiju, and Kraken2, were compared. Based on a synthetic microbial community of 12 species, it was found that Kaiju with the MD3 pipeline outperformed the others in the construction of protein sequence database from metagenomic data. Similar performance was also observed with a fecal sample, as well as in silico mixed datasets of the simulated microbial community and the fecal sample. CONCLUSIONS Overall, we developed an optimized pipeline for gene taxonomic annotation to construct protein sequence databases. Our study can tackle the current taxonomic annotation reliability problem in metagenomics-derived protein sequence database and can promote the in-depth metaproteomic analysis of microbiome. The unique metagenomic and metaproteomic datasets of the 12 bacterial species are publicly available as a standard benchmarking sample for evaluating various analysis pipelines. The code of ConDiGA is open access at GitHub for the analysis of microbiota samples. Video Abstract.
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Affiliation(s)
- Enhui Wu
- Department of Chemistry, and Shanghai Stomatological Hospital, Fudan University, Shanghai, 200000, China
| | - Vijini Mallawaarachchi
- School of Computing, College of Engineering, Computing and Cybernetics, The Australian National University, Canberra, ACT, 2600, Australia
- Flinders Accelerator for Microbiome Exploration, College of Science and Engineering, Flinders University, Bedford Park, SA, 5042, Australia
| | - Jinzhi Zhao
- Department of Chemistry, and Shanghai Stomatological Hospital, Fudan University, Shanghai, 200000, China
| | - Yi Yang
- Department of Chemistry, and Shanghai Stomatological Hospital, Fudan University, Shanghai, 200000, China
| | - Hebin Liu
- Shanghai Omicsolution Co., Ltd, Shanghai, 200000, China
| | - Xiaoqing Wang
- Shanghai Omicsolution Co., Ltd, Shanghai, 200000, China
| | - Chengpin Shen
- Shanghai Omicsolution Co., Ltd, Shanghai, 200000, China
| | - Yu Lin
- School of Computing, College of Engineering, Computing and Cybernetics, The Australian National University, Canberra, ACT, 2600, Australia
| | - Liang Qiao
- Department of Chemistry, and Shanghai Stomatological Hospital, Fudan University, Shanghai, 200000, China.
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Wu E, Yang Y, Zhao J, Zheng J, Wang X, Shen C, Qiao L. High-Abundance Protein-Guided Hybrid Spectral Library for Data-Independent Acquisition Metaproteomics. Anal Chem 2024; 96:1029-1037. [PMID: 38180447 DOI: 10.1021/acs.analchem.3c03255] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2024]
Abstract
Metaproteomics offers a direct avenue to identify microbial proteins in microbiota, enabling the compositional and functional characterization of microbiota. Due to the complexity and heterogeneity of microbial communities, in-depth and accurate metaproteomics faces tremendous limitations. One challenge in metaproteomics is the construction of a suitable protein sequence database to interpret the highly complex metaproteomic data, especially in the absence of metagenomic sequencing data. Herein, we present a high-abundance protein-guided hybrid spectral library strategy for in-depth data independent acquisition (DIA) metaproteomic analysis (HAPs-hyblibDIA). A dedicated high-abundance protein database of gut microbial species is constructed and used to mine the taxonomic information on microbiota samples. Then, a sample-specific protein sequence database is built based on the taxonomic information using Uniprot protein sequence for subsequent analysis of the DIA data using hybrid spectral library-based DIA analysis. We evaluated the accuracy and sensitivity of the method using synthetic microbial community samples and human gut microbiome samples. It was demonstrated that the strategy can successfully identify taxonomic compositions of microbiota samples and that the peptides identified by HAPs-hyblibDIA overlapped greatly with the peptides identified using a metagenomic sequencing-derived database. At the peptide and species level, our results can serve as a complement to the results obtained using a metagenomic sequencing-derived database. Furthermore, we validated the applicability of the HAPs-hyblibDIA strategy in a cohort of human gut microbiota samples of colorectal cancer patients and controls, highlighting its usability in biomedical research.
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Affiliation(s)
- Enhui Wu
- Department of Chemistry, and Shanghai Stomatological Hospital, Fudan University, Shanghai 200000, China
| | - Yi Yang
- Department of Chemistry, and Shanghai Stomatological Hospital, Fudan University, Shanghai 200000, China
- ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 310000, China
| | - Jinzhi Zhao
- Department of Chemistry, and Shanghai Stomatological Hospital, Fudan University, Shanghai 200000, China
| | - Jianxujie Zheng
- Department of Chemistry, and Shanghai Stomatological Hospital, Fudan University, Shanghai 200000, China
| | - Xiaoqing Wang
- Shanghai Omicsolution Co., Ltd., Shanghai 200000, China
| | - Chengpin Shen
- Shanghai Omicsolution Co., Ltd., Shanghai 200000, China
| | - Liang Qiao
- Department of Chemistry, and Shanghai Stomatological Hospital, Fudan University, Shanghai 200000, China
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3
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Verscheure E, Stierum R, Schlünssen V, Lund Würtz AM, Vanneste D, Kogevinas M, Harding BN, Broberg K, Zienolddiny-Narui S, Erdem JS, Das MK, Makris KC, Konstantinou C, Andrianou X, Dekkers S, Morris L, Pronk A, Godderis L, Ghosh M. Characterization of the internal working-life exposome using minimally and non-invasive sampling methods - a narrative review. ENVIRONMENTAL RESEARCH 2023; 238:117001. [PMID: 37683788 DOI: 10.1016/j.envres.2023.117001] [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: 04/13/2023] [Revised: 08/24/2023] [Accepted: 08/25/2023] [Indexed: 09/10/2023]
Abstract
During recent years, we are moving away from the 'one exposure, one disease'-approach in occupational settings and towards a more comprehensive approach, taking into account the totality of exposures during a life course by using an exposome approach. Taking an exposome approach however is accompanied by many challenges, one of which, for example, relates to the collection of biological samples. Methods used for sample collection in occupational exposome studies should ideally be minimally invasive, while at the same time sensitive, and enable meaningful repeated sampling in a large population and over a longer time period. This might be hampered in specific situations e.g., people working in remote areas, during pandemics or with flexible work hours. In these situations, using self-sampling techniques might offer a solution. Therefore, our aim was to identify existing self-sampling techniques and to evaluate the applicability of these techniques in an occupational exposome context by conducting a literature review. We here present an overview of current self-sampling methodologies used to characterize the internal exposome. In addition, the use of different biological matrices was evaluated and subdivided based on their level of invasiveness and applicability in an occupational exposome context. In conclusion, this review and the overview of self-sampling techniques presented herein can serve as a guide in the design of future (occupational) exposome studies while circumventing sample collection challenges associated with exposome studies.
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Affiliation(s)
- Eline Verscheure
- Department of Public Health and Primary Care, Centre for Environment and Health, Katholieke Universiteit Leuven, Leuven, Belgium
| | - Rob Stierum
- Netherlands Organisation for Applied Scientific Research TNO, Risk Analysis for Products in Development, Utrecht, the Netherlands
| | - Vivi Schlünssen
- Department of Public Health, Research unit for Environment, Occupation and Health, Danish Ramazzini Centre, Aarhus University, Aarhus, Denmark
| | - Anne Mette Lund Würtz
- Department of Public Health, Research unit for Environment, Occupation and Health, Danish Ramazzini Centre, Aarhus University, Aarhus, Denmark
| | - Dorian Vanneste
- Department of Public Health and Primary Care, Centre for Environment and Health, Katholieke Universiteit Leuven, Leuven, Belgium
| | - Manolis Kogevinas
- Environment and Health over the Lifecourse Program, ISGlobal, Barcelona, Spain
| | - Barbara N Harding
- Environment and Health over the Lifecourse Program, ISGlobal, Barcelona, Spain
| | - Karin Broberg
- Division of Occupational and Environmental Medicine, Lund University, Lund, Sweden; Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | | | | | - Mrinal K Das
- National Institute of Occupational Health, Oslo, Norway
| | - Konstantinos C Makris
- Cyprus International Institute for Environmental and Public Health, Cyprus University of Technology, Limassol, Cyprus
| | - Corina Konstantinou
- Cyprus International Institute for Environmental and Public Health, Cyprus University of Technology, Limassol, Cyprus
| | - Xanthi Andrianou
- Cyprus International Institute for Environmental and Public Health, Cyprus University of Technology, Limassol, Cyprus
| | - Susan Dekkers
- Netherlands Organisation for Applied Scientific Research TNO, Risk Analysis for Products in Development, Utrecht, the Netherlands
| | | | - Anjoeka Pronk
- Netherlands Organisation for Applied Scientific Research TNO, Risk Analysis for Products in Development, Utrecht, the Netherlands
| | - Lode Godderis
- Department of Public Health and Primary Care, Centre for Environment and Health, Katholieke Universiteit Leuven, Leuven, Belgium; Idewe, External Service for Prevention and Protection at work, Heverlee, Belgium.
| | - Manosij Ghosh
- Department of Public Health and Primary Care, Centre for Environment and Health, Katholieke Universiteit Leuven, Leuven, Belgium.
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Verschaffelt P, Tanca A, Abbondio M, Van Den Bossche T, Moortele TV, Dawyndt P, Martens L, Mesuere B. Unipept Desktop 2.0: Construction of Targeted Reference Protein Databases for Metaproteogenomics Analyses. J Proteome Res 2023; 22:2620-2628. [PMID: 37459443 DOI: 10.1021/acs.jproteome.3c00091] [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: 08/05/2023]
Abstract
Unipept Desktop 2.0 is the most recent iteration of the Unipept Desktop tool that adds support for the analysis of metaproteogenomics datasets. Unipept Desktop now supports the automatic construction of targeted protein reference databases that only contain proteins (originating from the UniProtKB resource) associated with a predetermined list of taxa. This improves both the taxonomic and functional resolution of a metaproteomic analysis and yields several technical advantages. By limiting the proteins present in a reference database, it is also possible to perform (meta)proteogenomics analyses. Since the protein reference database resides on the user's local machine, they have complete control over the database used during an analysis. Data no longer need to be transmitted over the Internet, decreasing the time required for an analysis and better safeguarding privacy-sensitive data. As a proof of concept, we present a case study in which a human gut metaproteome dataset is analyzed with Unipept Desktop 2.0 using different targeted databases based on matched 16S rRNA gene sequencing data.
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Affiliation(s)
- Pieter Verschaffelt
- Department of Applied Mathematics, Computer Science and Statistics, Ghent University, 9000 Ghent, Belgium
- VIB - UGent Center for Medical Biotechnology, VIB, 9052 Ghent, Belgium
| | - Alessandro Tanca
- Department of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy
| | - Marcello Abbondio
- Department of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy
| | | | - Tibo Vande Moortele
- Department of Applied Mathematics, Computer Science and Statistics, Ghent University, 9000 Ghent, Belgium
| | - Peter Dawyndt
- Department of Applied Mathematics, Computer Science and Statistics, Ghent University, 9000 Ghent, Belgium
| | - Lennart Martens
- VIB - UGent Center for Medical Biotechnology, VIB, 9052 Ghent, Belgium
- Department of Biomolecular Medicine, Faculty of Medicine and Health Sciences, Ghent University, 9000 Ghent, Belgium
| | - Bart Mesuere
- Department of Applied Mathematics, Computer Science and Statistics, Ghent University, 9000 Ghent, Belgium
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An F, Wu J, Feng Y, Pan G, Ma Y, Jiang J, Yang X, Xue R, Wu R, Zhao M. A systematic review on the flavor of soy-based fermented foods: Core fermentation microbiome, multisensory flavor substances, key enzymes, and metabolic pathways. Compr Rev Food Sci Food Saf 2023; 22:2773-2801. [PMID: 37082778 DOI: 10.1111/1541-4337.13162] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2022] [Revised: 04/01/2023] [Accepted: 04/06/2023] [Indexed: 04/22/2023]
Abstract
The characteristic flavor of fermented foods has an important impact on the purchasing decisions of consumers, and its production mechanisms are a concern for scientists worldwide. The perception of food flavor is a complex process involving olfaction, taste, vision, and oral touch, with various senses contributing to specific properties of the flavor. Soy-based fermented products are popular because of their unique flavors, especially in Asian countries, where they occupy an important place in the dietary structure. Microorganisms, known as the souls of fermented foods, can influence the sensory properties of soy-based fermented foods through various metabolic pathways, and are closely related to the formation of multisensory properties. Therefore, this review systematically summarizes the core microbiome and its interactions that play an active role in representative soy-based fermented foods, such as fermented soymilk, soy sauce, soybean paste, sufu, and douchi. The mechanism of action of the core microbial community on multisensory flavor quality is revealed here. Revealing the fermentation core microbiome and related enzymes provides important guidance for the development of flavor-enhancement strategies and related genetically engineered bacteria.
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Affiliation(s)
- Feiyu An
- College of Food Science, Shenyang Agricultural University, Shenyang, China
- Liaoning Provincial Engineering Research Center of Food Fermentation Technology, Shenyang, China
- Shenyang Key Laboratory of Microbial Fermentation Technology Innovation, Shenyang, China
| | - Junrui Wu
- College of Food Science, Shenyang Agricultural University, Shenyang, China
- Liaoning Provincial Engineering Research Center of Food Fermentation Technology, Shenyang, China
- Shenyang Key Laboratory of Microbial Fermentation Technology Innovation, Shenyang, China
| | - Yunzi Feng
- School of Food Science and Engineering, South China University of Technology, Guangzhou, China
| | - Guoyang Pan
- College of Food Science, Shenyang Agricultural University, Shenyang, China
| | - Yuanyuan Ma
- College of Food Science, Shenyang Agricultural University, Shenyang, China
| | - Jinhui Jiang
- College of Food Science, Shenyang Agricultural University, Shenyang, China
| | - Xuemeng Yang
- College of Food Science, Shenyang Agricultural University, Shenyang, China
| | - Ruixia Xue
- College of Food Science, Shenyang Agricultural University, Shenyang, China
| | - Rina Wu
- College of Food Science, Shenyang Agricultural University, Shenyang, China
- Liaoning Provincial Engineering Research Center of Food Fermentation Technology, Shenyang, China
- Shenyang Key Laboratory of Microbial Fermentation Technology Innovation, Shenyang, China
| | - Mouming Zhao
- School of Food Science and Engineering, South China University of Technology, Guangzhou, China
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6
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Pettersen VK, Antunes LCM, Dufour A, Arrieta MC. Inferring early-life host and microbiome functions by mass spectrometry-based metaproteomics and metabolomics. Comput Struct Biotechnol J 2021; 20:274-286. [PMID: 35024099 PMCID: PMC8718658 DOI: 10.1016/j.csbj.2021.12.012] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2021] [Revised: 12/08/2021] [Accepted: 12/08/2021] [Indexed: 12/17/2022] Open
Abstract
Humans have a long-standing coexistence with microorganisms. In particular, the microbial community that populates the human gastrointestinal tract has emerged as a critical player in governing human health and disease. DNA and RNA sequencing techniques that map taxonomical composition and genomic potential of the gut community have become invaluable for microbiome research. However, deriving a biochemical understanding of how activities of the gut microbiome shape host development and physiology requires an expanded experimental design that goes beyond these approaches. In this review, we explore advances in high-throughput techniques based on liquid chromatography-mass spectrometry. These omics methods for the identification of proteins and metabolites have enabled direct characterisation of gut microbiome functions and the crosstalk with the host. We discuss current metaproteomics and metabolomics workflows for producing functional profiles, the existing methodological challenges and limitations, and recent studies utilising these techniques with a special focus on early life gut microbiome.
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Affiliation(s)
- Veronika Kuchařová Pettersen
- Research Group for Host-Microbe Interactions, Department of Medical Biology, UiT The Arctic University of Norway, Tromsø, Norway
- Pediatric Research Group, Department of Clinical Medicine, UiT The Arctic University of Norway, Tromsø, Norway
- Centre for New Antibacterial Strategies, UiT The Arctic University of Norway, Tromsø, Norway
| | - Luis Caetano Martha Antunes
- Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro, RJ, Brazil
- National Institute of Science and Technology of Innovation on Diseases of Neglected Populations, Center for Technological Development in Health, Oswaldo Cruz Foundation, Rio de Janeiro, RJ, Brazil
| | - Antoine Dufour
- Department of Physiology & Pharmacology, University of Calgary, Calgary, Canada
| | - Marie-Claire Arrieta
- Department of Physiology & Pharmacology, University of Calgary, Calgary, Canada
- Department of Pediatrics, University of Calgary, Calgary, AB, Canada
- International Microbiome Centre, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
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7
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Zhou Q, Yang H, Zhou Q, Pan H. Effects of cognitive motor dual-task training on stroke patients: A RCT-based meta-analysis. J Clin Neurosci 2021; 92:175-182. [PMID: 34509248 DOI: 10.1016/j.jocn.2021.08.009] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Revised: 08/03/2021] [Accepted: 08/14/2021] [Indexed: 11/16/2022]
Abstract
Based on a randomized controlled trial (RCT), this meta-analysis aimed to comprehensively analyze the effects of cognitive motor dual-task training (CMDT) on stroke patients. The electronic databases PubMed, Embase, and the Cochrane Library were searched for papers on the influence of CMDT on stroke patients. Weighted mean difference (WMD) and 95% confidence interval (95% CI) were used as effect sizes. Cochran's Q and I2 tests were performed for heterogeneity. Thirteen articles involving 326 patients were included in the study. The meta-analysis showed that CMDT significantly improved the walking balance of patients with stroke (P = 0.01). In addition, CMDT significantly improved the gait ability of patients with stroke (P < 0.0001). Furthermore, CMDT had a significant effect on the improvement of upper limb ability in patients with stroke (P < 0.00001). CMDT could significantly improve balance ability, gait, and upper limb function in patients with chronic stroke, which is worthy of clinical promotion.
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Affiliation(s)
- Qiang Zhou
- Department of Physical Education, Hohai University, Nanjing, Jiangsu 210098, China
| | - Hongchang Yang
- Department of Physical Education, Hohai University, Nanjing, Jiangsu 210098, China.
| | - Quanfu Zhou
- Department of Physical Education, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China
| | - Hongyao Pan
- Department of Physical Education, Hohai University, Nanjing, Jiangsu 210098, China
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Huang W, Kane MA. MAPLE: A Microbiome Analysis Pipeline Enabling Optimal Peptide Search and Comparative Taxonomic and Functional Analysis. J Proteome Res 2021; 20:2882-2894. [PMID: 33848166 DOI: 10.1021/acs.jproteome.1c00114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Metaproteomics by mass spectrometry (MS) is a powerful approach to profile a large number of proteins expressed by all organisms in a highly complex biological or ecological sample, which is able to provide a direct and quantitative assessment of the functional makeup of a microbiota. The human gastrointestinal microbiota has been found playing important roles in human physiology and health, and metaproteomics has been shown to shed light on multiple novel associations between microbiota and diseases. MS-powered proteomics generally relies on genome data to define search space. However, metaproteomics, which simultaneously analyzes all proteins from hundreds to thousands of species, faces significant challenges regarding database search and interpretation of results. To overcome these obstacles, we have developed a user-friendly microbiome analysis pipeline (MAPLE, freely downloadable at http://maple.rx.umaryland.edu/), which is able to define an optimal search space by inferring proteomes specific to samples following the principle of parsimony. MAPLE facilitates highly comparable or better peptide identification compared to a sample-specific metagenome-guided search. In addition, we implemented an automated peptide-centric enrichment analysis function in MAPLE to address issues of traditional protein-centric comparison, enabling straightforward and comprehensive comparison of taxonomic and functional makeup between microbiota.
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Affiliation(s)
- Weiliang Huang
- Department of Pharmaceutical Sciences, University of Maryland, School of Pharmacy, Baltimore, Maryland 21201, United States
| | - Maureen A Kane
- Department of Pharmaceutical Sciences, University of Maryland, School of Pharmacy, Baltimore, Maryland 21201, United States
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Yan Z, He F, Xiao F, He H, Li D, Cong L, Lin L, Zhu H, Wu Y, Yan R, Li X, Shan H. A semi-tryptic peptide centric metaproteomic mining approach and its potential utility in capturing signatures of gut microbial proteolysis. MICROBIOME 2021; 9:12. [PMID: 33436102 PMCID: PMC7805185 DOI: 10.1186/s40168-020-00967-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Accepted: 12/06/2020] [Indexed: 05/05/2023]
Abstract
BACKGROUND Proteolysis regulation allows gut microbes to respond rapidly to dynamic intestinal environments by fast degradation of misfolded proteins and activation of regulatory proteins. However, alterations of gut microbial proteolytic signatures under complex disease status such as inflammatory bowel disease (IBD, including Crohn's disease (CD) and ulcerative colitis (UC)), have not been investigated. Metaproteomics holds the potential to investigate gut microbial proteolysis because semi-tryptic peptides mainly derive from endogenous proteolysis. RESULTS We have developed a semi-tryptic peptide centric metaproteomic mining approach to obtain a snapshot of human gut microbial proteolysis signatures. This approach employed a comprehensive meta-database, two-step multiengine database search, and datasets with high-resolution fragmentation spectra to increase the confidence of semi-tryptic peptide identification. The approach was validated by discovering altered proteolysis signatures of Escherichia coli heat shock response. Utilizing two published large-scale metaproteomics datasets containing 623 metaproteomes from 447 fecal and 176 mucosal luminal interface (MLI) samples from IBD patients and healthy individuals, we obtain potential signatures of altered gut microbial proteolysis at taxonomic, functional, and cleavage site motif levels. The functional alterations mainly involved microbial carbohydrate transport and metabolism, oxidative stress, cell motility, protein synthesis, and maturation. Altered microbial proteolysis signatures of CD and UC mainly occurred in terminal ileum and descending colon, respectively. Microbial proteolysis patterns exhibited low correlations with β-diversity and moderate correlations with microbial protease and chaperones levels, respectively. Human protease inhibitors and immunoglobulins were mainly negatively associated with microbial proteolysis patterns, probably because of the inhibitory effects of these host factors on gut microbial proteolysis events. CONCLUSIONS This semi-tryptic peptide centric mining strategy offers a label-free approach to discover signatures of in vivo gut microbial proteolysis events if experimental conditions are well controlled. It can also capture in vitro proteolysis signatures to facilitate the evaluation and optimization of experimental conditions. Our findings highlight the complex and diverse proteolytic events of gut microbiome, providing a unique layer of information beyond taxonomic and proteomic abundance. Video abstract.
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Affiliation(s)
- Zhixiang Yan
- Guangdong Provincial Key Laboratory of Biomedical Imaging and Guangdong Provincial Engineering Research Center of Molecular Imaging, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, 519000, Guangdong Province, China.
| | - Feixiang He
- Guangdong Provincial Key Laboratory of Biomedical Imaging and Guangdong Provincial Engineering Research Center of Molecular Imaging, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, 519000, Guangdong Province, China
| | - Fei Xiao
- Guangdong Provincial Key Laboratory of Biomedical Imaging and Guangdong Provincial Engineering Research Center of Molecular Imaging, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, 519000, Guangdong Province, China
| | - Huanhuan He
- Guangdong Provincial Key Laboratory of Biomedical Imaging and Guangdong Provincial Engineering Research Center of Molecular Imaging, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, 519000, Guangdong Province, China
| | - Dan Li
- Guangdong Provincial Key Laboratory of Biomedical Imaging and Guangdong Provincial Engineering Research Center of Molecular Imaging, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, 519000, Guangdong Province, China
| | - Li Cong
- Department of Endocrinology and Metabolism, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, 519000, Guangdong Province, China
| | - Lu Lin
- Department of Gastroenterology, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, 519000, Guangdong Province, China
| | - Huijin Zhu
- Department of Gastroenterology, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, 519000, Guangdong Province, China
| | - Yanyan Wu
- Guangdong Provincial Key Laboratory of Biomedical Imaging and Guangdong Provincial Engineering Research Center of Molecular Imaging, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, 519000, Guangdong Province, China
| | - Ru Yan
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Taipa, Macao, China.
| | - Xiaofeng Li
- Department of Gastroenterology, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, 519000, Guangdong Province, China.
| | - Hong Shan
- Guangdong Provincial Key Laboratory of Biomedical Imaging and Guangdong Provincial Engineering Research Center of Molecular Imaging, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, 519000, Guangdong Province, China.
- Center for Interventional Medicine, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, 519000, Guangdong Province, China.
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10
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Insects' potential: Understanding the functional role of their gut microbiome. J Pharm Biomed Anal 2020; 194:113787. [PMID: 33272789 DOI: 10.1016/j.jpba.2020.113787] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Revised: 11/13/2020] [Accepted: 11/17/2020] [Indexed: 12/17/2022]
Abstract
The study of insect-associated microbial communities is a field of great importance in agriculture, principally because of the role insects play as pests. In addition, there is a recent focus on the potential of the insect gut microbiome in areas such as biotechnology, given some microorganisms produce molecules with biotechnological and industrial applications, and also in biomedicine, since some bacteria and fungi are a reservoir of antibiotic resistance genes (ARGs). To date, most studies aiming to characterize the role of the gut microbiome of insects have been based on high-throughput sequencing of the 16S rRNA gene and/or metagenomics. However, recently functional approaches such as metatranscriptomics, metaproteomics and metabolomics have also been employed. Besides providing knowledge about the taxonomic distribution of microbial populations, these techniques also reveal their functional and metabolic capabilities. This information is essential to gain a better understanding of the role played by microbes comprising the microbial communities in their hosts, as well as to indicate their possible exploitation. This review provides an overview of how far we have come in characterizing insect gut functionality through omics, as well as the challenges and future perspectives in this field.
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11
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Saunders JK, Gaylord DA, Held NA, Symmonds N, Dupont CL, Shepherd A, Kinkade DB, Saito MA. METATRYP v 2.0: Metaproteomic Least Common Ancestor Analysis for Taxonomic Inference Using Specialized Sequence Assemblies-Standalone Software and Web Servers for Marine Microorganisms and Coronaviruses. J Proteome Res 2020; 19:4718-4729. [PMID: 32897080 PMCID: PMC7640959 DOI: 10.1021/acs.jproteome.0c00385] [Citation(s) in RCA: 9] [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: 06/01/2020] [Indexed: 12/30/2022]
Abstract
We present METATRYP version 2 software that identifies shared peptides across the predicted proteomes of organisms within environmental metaproteomics studies to enable accurate taxonomic attribution of peptides during protein inference. Improvements include ingestion of complex sequence assembly data categories (metagenomic and metatranscriptomic assemblies, single cell amplified genomes, and metagenome assembled genomes), prediction of the least common ancestor (LCA) for a peptide shared across multiple organisms, increased performance through updates to the backend architecture, and development of a web portal (https://metatryp.whoi.edu). Major expansion of the marine METATRYP database with predicted proteomes from environmental sequencing confirms a low occurrence of shared tryptic peptides among disparate marine microorganisms, implying tractability for targeted metaproteomics. METATRYP was designed to facilitate ocean metaproteomics and has been integrated into the Ocean Protein Portal (https://oceanproteinportal.org); however, it can be readily applied to other domains. We describe the rapid deployment of a coronavirus-specific web portal (https://metatryp-coronavirus.whoi.edu/) to aid in use of proteomics on coronavirus research during the ongoing pandemic. A coronavirus-focused METATRYP database identified potential SARS-CoV-2 peptide biomarkers and indicated very few shared tryptic peptides between SARS-CoV-2 and other disparate taxa analyzed, sharing <1% peptides with taxa outside of the betacoronavirus group, establishing that taxonomic specificity is achievable using tryptic peptide-based proteomic diagnostic approaches.
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Affiliation(s)
- Jaclyn K. Saunders
- Woods
Hole Oceanographic Institution, 266 Woods Hole Road Mailstop #51, Woods Hole, Massachusetts 02543, United States
| | - David A. Gaylord
- Woods
Hole Oceanographic Institution, 266 Woods Hole Road Mailstop #51, Woods Hole, Massachusetts 02543, United States
| | - Noelle A. Held
- Woods
Hole Oceanographic Institution, 266 Woods Hole Road Mailstop #51, Woods Hole, Massachusetts 02543, United States
| | - Nicholas Symmonds
- Woods
Hole Oceanographic Institution, 266 Woods Hole Road Mailstop #51, Woods Hole, Massachusetts 02543, United States
| | | | - Adam Shepherd
- Woods
Hole Oceanographic Institution, 266 Woods Hole Road Mailstop #51, Woods Hole, Massachusetts 02543, United States
| | - Danie B. Kinkade
- Woods
Hole Oceanographic Institution, 266 Woods Hole Road Mailstop #51, Woods Hole, Massachusetts 02543, United States
| | - Mak A. Saito
- Woods
Hole Oceanographic Institution, 266 Woods Hole Road Mailstop #51, Woods Hole, Massachusetts 02543, United States
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12
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Géron A, Werner J, Wattiez R, Lebaron P, Matallana-Surget S. Deciphering the Functioning of Microbial Communities: Shedding Light on the Critical Steps in Metaproteomics. Front Microbiol 2019; 10:2395. [PMID: 31708885 PMCID: PMC6821674 DOI: 10.3389/fmicb.2019.02395] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2019] [Accepted: 10/03/2019] [Indexed: 11/13/2022] Open
Abstract
Unraveling the complex structure and functioning of microbial communities is essential to accurately predict the impact of perturbations and/or environmental changes. From all molecular tools available today to resolve the dynamics of microbial communities, metaproteomics stands out, allowing the establishment of phenotype-genotype linkages. Despite its rapid development, this technology has faced many technical challenges that still hamper its potential power. How to maximize the number of protein identification, improve quality of protein annotation, and provide reliable ecological interpretation are questions of immediate urgency. In our study, we used a robust metaproteomic workflow combining two protein fractionation approaches (gel-based versus gel-free) and four protein search databases derived from the same metagenome to analyze the same seawater sample. The resulting eight metaproteomes provided different outcomes in terms of (i) total protein numbers, (ii) taxonomic structures, and (iii) protein functions. The characterization and/or representativeness of numerous proteins from ecologically relevant taxa such as Pelagibacterales, Rhodobacterales, and Synechococcales, as well as crucial environmental processes, such as nutrient uptake, nitrogen assimilation, light harvesting, and oxidative stress response, were found to be particularly affected by the methodology. Our results provide clear evidences that the use of different protein search databases significantly alters the biological conclusions in both gel-free and gel-based approaches. Our findings emphasize the importance of diversifying the experimental workflow for a comprehensive metaproteomic study.
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Affiliation(s)
- Augustin Géron
- Division of Biological and Environmental Sciences, Faculty of Natural Sciences, University of Stirling, Stirling, United Kingdom
- Department of Proteomic and Microbiology, University of Mons, Mons, Belgium
| | - Johannes Werner
- Department of Biological Oceanography, Leibniz Institute for Baltic Sea Research, Rostock, Germany
| | - Ruddy Wattiez
- Department of Proteomic and Microbiology, University of Mons, Mons, Belgium
| | - Philippe Lebaron
- Sorbonne Universités, UPMC Université Paris 06, USR 3579, LBBM, Observatoire Océanologique, Banyuls-sur-Mer, France
| | - Sabine Matallana-Surget
- Division of Biological and Environmental Sciences, Faculty of Natural Sciences, University of Stirling, Stirling, United Kingdom
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Issa Isaac N, Philippe D, Nicholas A, Raoult D, Eric C. Metaproteomics of the human gut microbiota: Challenges and contributions to other OMICS. CLINICAL MASS SPECTROMETRY 2019; 14 Pt A:18-30. [DOI: 10.1016/j.clinms.2019.06.001] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/05/2019] [Revised: 06/02/2019] [Accepted: 06/03/2019] [Indexed: 12/22/2022]
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14
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Li S, Tang H, Ye Y. A Meta-proteogenomic Approach to Peptide Identification Incorporating Assembly Uncertainty and Genomic Variation. Mol Cell Proteomics 2019; 18:S183-S192. [PMID: 31142575 PMCID: PMC6692780 DOI: 10.1074/mcp.tir118.001233] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2018] [Revised: 04/25/2019] [Indexed: 01/07/2023] Open
Abstract
Matching metagenomic and/or metatranscriptomic data, currently often under-used, can be useful reference for metaproteomic tandem mass spectra (MS/MS) data analysis. Here we developed a software pipeline for identification of peptides and proteins from metaproteomic MS/MS data using proteins derived from matching metagenomic (and metatranscriptomic) data as the search database, based on two novel approaches Graph2Pro (published) and Var2Pep (new). Graph2Pro retains and uses uncertainties of metagenome assembly for reference-based MS/MS data analysis. Var2Pep considers the variations found in metagenomic/metatranscriptomic sequencing reads that are not retained in the assemblies (contigs). The new software pipeline provides one stop application of both tools, and it supports the use of metagenome assembly from commonly used assemblers including MegaHit and metaSPAdes. When tested on two collections of multi-omic microbiome data sets, our pipeline significantly improved the identification rate of the metaproteomic MS/MS spectra by about two folds, comparing to conventional contig- or read-based approaches (the Var2Pep alone identified 5.6% to 24.1% more unique peptides, depending on the data set). We also showed that identified variant peptides are important for functional profiling of microbiomes. All results suggested that it is important to take into consideration of the assembly uncertainties and genomic variants to facilitate metaproteomic MS/MS data interpretation.
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Affiliation(s)
- Sujun Li
- School of Informatics, Computing and Engineering, Indiana University, Bloomington, IN
| | - Haixu Tang
- School of Informatics, Computing and Engineering, Indiana University, Bloomington, IN
| | - Yuzhen Ye
- School of Informatics, Computing and Engineering, Indiana University, Bloomington, IN.
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15
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Thorn CE, Bergesch C, Joyce A, Sambrano G, McDonnell K, Brennan F, Heyer R, Benndorf D, Abram F. A robust, cost-effective method for DNA, RNA and protein co-extraction from soil, other complex microbiomes and pure cultures. Mol Ecol Resour 2019; 19:439-455. [PMID: 30565880 DOI: 10.1111/1755-0998.12979] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2017] [Revised: 12/03/2018] [Accepted: 12/06/2018] [Indexed: 11/29/2022]
Abstract
The soil microbiome is inherently complex with high biological diversity, and spatial heterogeneity typically occurring on the submillimetre scale. To study the microbial ecology of soils, and other microbiomes, biomolecules, that is, nucleic acids and proteins, must be efficiently and reliably co-recovered from the same biological samples. Commercial kits are currently available for the co-extraction of DNA, RNA and proteins but none has been developed for soil samples. We present a new protocol drawing on existing phenol-chloroform-based methods for nucleic acids co-extraction but incorporating targeted precipitation of proteins from the phenol phase. The protocol is cost-effective and robust, and easily implemented using reagents commonly available in laboratories. The method is estimated to be eight times cheaper than using disparate commercial kits for the isolation of DNA and/or RNA, and proteins, from soil. The method is effective, providing good quality biomolecules from a diverse range of soil types, with clay contents varying from 9.5% to 35.1%, which we successfully used for downstream, high-throughput gene sequencing and metaproteomics. Additionally, we demonstrate that the protocol can also be easily implemented for biomolecule co-extraction from other complex microbiome samples, including cattle slurry and microbial communities recovered from anaerobic bioreactors, as well as from Gram-positive and Gram-negative pure cultures.
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Affiliation(s)
- Camilla E Thorn
- Functional Environmental Microbiology, School of Natural Sciences, National University of Ireland Galway, Galway, Ireland
| | - Christian Bergesch
- Functional Environmental Microbiology, School of Natural Sciences, National University of Ireland Galway, Galway, Ireland
| | - Aoife Joyce
- Functional Environmental Microbiology, School of Natural Sciences, National University of Ireland Galway, Galway, Ireland
| | - Gustavo Sambrano
- Functional Environmental Microbiology, School of Natural Sciences, National University of Ireland Galway, Galway, Ireland
| | - Kevin McDonnell
- Functional Environmental Microbiology, School of Natural Sciences, National University of Ireland Galway, Galway, Ireland
| | - Fiona Brennan
- Department of Environment, Soils and Land-use, Teagasc, Wexford, Ireland
| | - Robert Heyer
- Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Otto von Guericke University, Magdeburg, Germany
| | - Dirk Benndorf
- Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Otto von Guericke University, Magdeburg, Germany
| | - Florence Abram
- Functional Environmental Microbiology, School of Natural Sciences, National University of Ireland Galway, Galway, Ireland
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Muth T, Hartkopf F, Vaudel M, Renard BY. A Potential Golden Age to Come-Current Tools, Recent Use Cases, and Future Avenues for De Novo Sequencing in Proteomics. Proteomics 2018; 18:e1700150. [PMID: 29968278 DOI: 10.1002/pmic.201700150] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2018] [Revised: 05/23/2018] [Indexed: 01/15/2023]
Abstract
In shotgun proteomics, peptide and protein identification is most commonly conducted using database search engines, the method of choice when reference protein sequences are available. Despite its widespread use the database-driven approach is limited, mainly because of its static search space. In contrast, de novo sequencing derives peptide sequence information in an unbiased manner, using only the fragment ion information from the tandem mass spectra. In recent years, with the improvements in MS instrumentation, various new methods have been proposed for de novo sequencing. This review article provides an overview of existing de novo sequencing algorithms and software tools ranging from peptide sequencing to sequence-to-protein mapping. Various use cases are described for which de novo sequencing was successfully applied. Finally, limitations of current methods are highlighted and new directions are discussed for a wider acceptance of de novo sequencing in the community.
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Affiliation(s)
- Thilo Muth
- Bioinformatics Unit (MF 1), Department for Methods Development and Research Infrastructure, Robert Koch Institute, 13353, Berlin, Germany
| | - Felix Hartkopf
- Bioinformatics Unit (MF 1), Department for Methods Development and Research Infrastructure, Robert Koch Institute, 13353, Berlin, Germany
| | - Marc Vaudel
- K.G. Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, 5020, Bergen, Norway.,Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, 5020, Bergen, Norway
| | - Bernhard Y Renard
- Bioinformatics Unit (MF 1), Department for Methods Development and Research Infrastructure, Robert Koch Institute, 13353, Berlin, Germany
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17
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Sandrin TR, Demirev PA. Characterization of microbial mixtures by mass spectrometry. MASS SPECTROMETRY REVIEWS 2018; 37:321-349. [PMID: 28509357 DOI: 10.1002/mas.21534] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/23/2016] [Revised: 03/09/2017] [Accepted: 03/09/2017] [Indexed: 05/27/2023]
Abstract
MS applications in microbiology have increased significantly in the past 10 years, due in part to the proliferation of regulator-approved commercial MALDI MS platforms for rapid identification of clinical infections. In parallel, with the expansion of MS technologies in the "omics" fields, novel MS-based research efforts to characterize organismal as well as environmental microbiomes have emerged. Successful characterization of microorganisms found in complex mixtures of other organisms remains a major challenge for researchers and clinicians alike. Here, we review recent MS advances toward addressing that challenge. These include sample preparation methods and protocols, and established, for example, MALDI, as well as newer, for example, atmospheric pressure ionization (API) techniques. MALDI mass spectra of intact cells contain predominantly information on the highly expressed house-keeping proteins used as biomarkers. The API methods are applicable for small biomolecule analysis, for example, phospholipids and lipopeptides, and facilitate species differentiation. MS hardware and techniques, for example, tandem MS, including diverse ion source/mass analyzer combinations are discussed. Relevant examples for microbial mixture characterization utilizing these combinations are provided. Chemometrics and bioinformatics methods and algorithms, including those applied to large scale MS data acquisition in microbial metaproteomics and MS imaging of biofilms, are highlighted. Select MS applications for polymicrobial culture analysis in environmental and clinical microbiology are reviewed as well.
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Affiliation(s)
- Todd R Sandrin
- School of Mathematical and Natural Sciences, Arizona State University, Phoenix, Arizona
| | - Plamen A Demirev
- Applied Physics Laboratory, Johns Hopkins University, Laurel, Maryland
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18
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Xiao J, Tanca A, Jia B, Yang R, Wang B, Zhang Y, Li J. Metagenomic Taxonomy-Guided Database-Searching Strategy for Improving Metaproteomic Analysis. J Proteome Res 2018; 17:1596-1605. [DOI: 10.1021/acs.jproteome.7b00894] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Affiliation(s)
- Jinqiu Xiao
- Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, People’s Republic of China
| | - Alessandro Tanca
- Porto Conte Ricerche, Science and Technology Park of Sardinia, Tramariglio, Alghero, Italy
| | - Ben Jia
- Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, People’s Republic of China
| | - Runqing Yang
- College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, People’s Republic of China
| | - Bo Wang
- Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, People’s Republic of China
| | - Yu Zhang
- Institute of Oceanography, Shanghai Jiao Tong University, Shanghai 200240, People’s Republic of China
| | - Jing Li
- Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, People’s Republic of China
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19
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Proteomics and the human microbiome: where we are today and where we would like to be. Emerg Top Life Sci 2017; 1:401-409. [DOI: 10.1042/etls20170051] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2017] [Revised: 10/20/2017] [Accepted: 11/06/2017] [Indexed: 11/17/2022]
Abstract
What are all these hundreds of different bacterial species doing in and on us? What interactions occur between the host and the microbes, and between the microbes themselves? By studying proteins, metaproteomics tries to find preliminary answers to these questions. There is daunting complexity around this; in fact, many of these proteins have never been studied before. This article is an introduction to the field of metaproteomics in the context of the human microbiome. It summarizes where we are and what we have learnt so far. The focus will be on faecal proteomics as most metaproteomics research has been conducted on that sample type. Metaproteomics has made major advances in the past decade, but new sample preparation strategies, improved mass spectrometric analysis and, most importantly, data analysis and interpretation have the potential to pave the way for large-cohort metaproteomics.
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20
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Tanca A, Abbondio M, Palomba A, Fraumene C, Manghina V, Cucca F, Fiorillo E, Uzzau S. Potential and active functions in the gut microbiota of a healthy human cohort. MICROBIOME 2017; 5:79. [PMID: 28709472 PMCID: PMC5513205 DOI: 10.1186/s40168-017-0293-3] [Citation(s) in RCA: 97] [Impact Index Per Article: 13.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/21/2017] [Accepted: 06/28/2017] [Indexed: 05/20/2023]
Abstract
BACKGROUND The study of the gut microbiota (GM) is rapidly moving towards its functional characterization by means of shotgun meta-omics. In this context, there is still no consensus on which microbial functions are consistently and constitutively expressed in the human gut in physiological conditions. Here, we selected a cohort of 15 healthy subjects from a native and highly monitored Sardinian population and analyzed their GMs using shotgun metaproteomics, with the aim of investigating GM functions actually expressed in a healthy human population. In addition, shotgun metagenomics was employed to reveal GM functional potential and to compare metagenome and metaproteome profiles in a combined taxonomic and functional fashion. RESULTS Metagenomic and metaproteomic data concerning the taxonomic structure of the GM under study were globally comparable. On the contrary, a considerable divergence between genetic potential and functional activity of the human healthy GM was observed, with the metaproteome displaying a higher plasticity, compared to the lower inter-individual variability of metagenome profiles. The taxon-specific contribution to functional activities and metabolic tasks was also examined, giving insights into the peculiar role of several GM members in carbohydrate metabolism (including polysaccharide degradation, glycan transport, glycolysis, and short-chain fatty acid production). Noteworthy, Firmicutes-driven butyrogenesis (mainly due to Faecalibacterium spp.) was shown to be the metabolic activity with the highest expression rate and the lowest inter-individual variability in the study cohort, in line with the previously reported importance of the biosynthesis of this microbial product for the gut homeostasis. CONCLUSIONS Our results provide detailed and taxon-specific information regarding functions and pathways actively working in a healthy GM. The reported discrepancy between expressed functions and functional potential suggests that caution should be used before drawing functional conclusions from metagenomic data, further supporting metaproteomics as a fundamental approach to characterize the human GM metabolic functions and activities.
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Affiliation(s)
- Alessandro Tanca
- Porto Conte Ricerche, Science and Technology Park of Sardinia, S.P. 55 Porto Conte - Capo Caccia km 8,400, Località Tramariglio, 07041, Alghero, SS, Italy
| | - Marcello Abbondio
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy
| | - Antonio Palomba
- Porto Conte Ricerche, Science and Technology Park of Sardinia, S.P. 55 Porto Conte - Capo Caccia km 8,400, Località Tramariglio, 07041, Alghero, SS, Italy
| | - Cristina Fraumene
- Porto Conte Ricerche, Science and Technology Park of Sardinia, S.P. 55 Porto Conte - Capo Caccia km 8,400, Località Tramariglio, 07041, Alghero, SS, Italy
| | - Valeria Manghina
- Porto Conte Ricerche, Science and Technology Park of Sardinia, S.P. 55 Porto Conte - Capo Caccia km 8,400, Località Tramariglio, 07041, Alghero, SS, Italy
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy
| | - Francesco Cucca
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche (CNR), Monserrato, Cagliari, Italy
| | - Edoardo Fiorillo
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche (CNR), Monserrato, Cagliari, Italy
| | - Sergio Uzzau
- Porto Conte Ricerche, Science and Technology Park of Sardinia, S.P. 55 Porto Conte - Capo Caccia km 8,400, Località Tramariglio, 07041, Alghero, SS, Italy.
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy.
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21
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Critical decisions in metaproteomics: achieving high confidence protein annotations in a sea of unknowns. ISME JOURNAL 2016; 11:309-314. [PMID: 27824341 PMCID: PMC5270573 DOI: 10.1038/ismej.2016.132] [Citation(s) in RCA: 61] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
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22
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Tanca A, Palomba A, Fraumene C, Pagnozzi D, Manghina V, Deligios M, Muth T, Rapp E, Martens L, Addis MF, Uzzau S. The impact of sequence database choice on metaproteomic results in gut microbiota studies. MICROBIOME 2016; 4:51. [PMID: 27671352 PMCID: PMC5037606 DOI: 10.1186/s40168-016-0196-8] [Citation(s) in RCA: 78] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/15/2016] [Accepted: 09/12/2016] [Indexed: 05/23/2023]
Abstract
BACKGROUND Elucidating the role of gut microbiota in physiological and pathological processes has recently emerged as a key research aim in life sciences. In this respect, metaproteomics, the study of the whole protein complement of a microbial community, can provide a unique contribution by revealing which functions are actually being expressed by specific microbial taxa. However, its wide application to gut microbiota research has been hindered by challenges in data analysis, especially related to the choice of the proper sequence databases for protein identification. RESULTS Here, we present a systematic investigation of variables concerning database construction and annotation and evaluate their impact on human and mouse gut metaproteomic results. We found that both publicly available and experimental metagenomic databases lead to the identification of unique peptide assortments, suggesting parallel database searches as a mean to gain more complete information. In particular, the contribution of experimental metagenomic databases was revealed to be mandatory when dealing with mouse samples. Moreover, the use of a "merged" database, containing all metagenomic sequences from the population under study, was found to be generally preferable over the use of sample-matched databases. We also observed that taxonomic and functional results are strongly database-dependent, in particular when analyzing the mouse gut microbiota. As a striking example, the Firmicutes/Bacteroidetes ratio varied up to tenfold depending on the database used. Finally, assembling reads into longer contigs provided significant advantages in terms of functional annotation yields. CONCLUSIONS This study contributes to identify host- and database-specific biases which need to be taken into account in a metaproteomic experiment, providing meaningful insights on how to design gut microbiota studies and to perform metaproteomic data analysis. In particular, the use of multiple databases and annotation tools has to be encouraged, even though this requires appropriate bioinformatic resources.
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Affiliation(s)
- Alessandro Tanca
- Porto Conte Ricerche, Science and Technology Park of Sardinia, Tramariglio, Alghero, Italy
| | - Antonio Palomba
- Porto Conte Ricerche, Science and Technology Park of Sardinia, Tramariglio, Alghero, Italy
| | - Cristina Fraumene
- Porto Conte Ricerche, Science and Technology Park of Sardinia, Tramariglio, Alghero, Italy
| | - Daniela Pagnozzi
- Porto Conte Ricerche, Science and Technology Park of Sardinia, Tramariglio, Alghero, Italy
| | - Valeria Manghina
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy
| | - Massimo Deligios
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy
| | - Thilo Muth
- Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany
- Research Group Bioinformatics (NG 4), Robert Koch Institute, Berlin, Germany
| | - Erdmann Rapp
- Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany
| | - Lennart Martens
- Department of Biochemistry, Ghent University, Ghent, Belgium
- Medical Biotechnology Center, VIB, Ghent, Belgium
- Bioinformatics Institute Ghent, Ghent University, Zwijnaarde, Ghent, Belgium
| | - Maria Filippa Addis
- Porto Conte Ricerche, Science and Technology Park of Sardinia, Tramariglio, Alghero, Italy
| | - Sergio Uzzau
- Porto Conte Ricerche, Science and Technology Park of Sardinia, Tramariglio, Alghero, Italy
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy
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May DH, Timmins-Schiffman E, Mikan MP, Harvey HR, Borenstein E, Nunn BL, Noble WS. An Alignment-Free "Metapeptide" Strategy for Metaproteomic Characterization of Microbiome Samples Using Shotgun Metagenomic Sequencing. J Proteome Res 2016; 15:2697-705. [PMID: 27396978 PMCID: PMC5116374 DOI: 10.1021/acs.jproteome.6b00239] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
In principle, tandem mass spectrometry can be used to detect and quantify the peptides present in a microbiome sample, enabling functional and taxonomic insight into microbiome metabolic activity. However, the phylogenetic diversity constituting a particular microbiome is often unknown, and many of the organisms present may not have assembled genomes. In ocean microbiome samples, with particularly diverse and uncultured bacterial communities, it is difficult to construct protein databases that contain the bulk of the peptides in the sample without losing detection sensitivity due to the overwhelming number of candidate peptides for each tandem mass spectrum. We describe a method for deriving "metapeptides" (short amino acid sequences that may be represented in multiple organisms) from shotgun metagenomic sequencing of microbiome samples. In two ocean microbiome samples, we constructed site-specific metapeptide databases to detect more than one and a half times as many peptides as by searching against predicted genes from an assembled metagenome and roughly three times as many peptides as by searching against the NCBI environmental proteome database. The increased peptide yield has the potential to enrich the taxonomic and functional characterization of sample metaproteomes.
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Affiliation(s)
- Damon H May
- Department of Genome Sciences and ‡Department of Computer Science and Engineering, University of Washington , Seattle, Washington 98195-5065, United States
| | - Emma Timmins-Schiffman
- Department of Genome Sciences and ‡Department of Computer Science and Engineering, University of Washington , Seattle, Washington 98195-5065, United States
| | - Molly P Mikan
- Department of Ocean, Earth & Atmospheric Sciences, Old Dominion University , Norfolk, Virginia 23529, United States
| | - H Rodger Harvey
- Department of Ocean, Earth & Atmospheric Sciences, Old Dominion University , Norfolk, Virginia 23529, United States
| | - Elhanan Borenstein
- Department of Genome Sciences and ‡Department of Computer Science and Engineering, University of Washington , Seattle, Washington 98195-5065, United States
- Santa Fe Institute , Santa Fe, New Mexico 87501, United States
| | - Brook L Nunn
- Department of Genome Sciences and ‡Department of Computer Science and Engineering, University of Washington , Seattle, Washington 98195-5065, United States
| | - William S Noble
- Department of Genome Sciences and ‡Department of Computer Science and Engineering, University of Washington , Seattle, Washington 98195-5065, United States
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24
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Muth T, Renard BY, Martens L. Metaproteomic data analysis at a glance: advances in computational microbial community proteomics. Expert Rev Proteomics 2016; 13:757-69. [DOI: 10.1080/14789450.2016.1209418] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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25
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Kolmeder CA, Salojärvi J, Ritari J, de Been M, Raes J, Falony G, Vieira-Silva S, Kekkonen RA, Corthals GL, Palva A, Salonen A, de Vos WM. Faecal Metaproteomic Analysis Reveals a Personalized and Stable Functional Microbiome and Limited Effects of a Probiotic Intervention in Adults. PLoS One 2016; 11:e0153294. [PMID: 27070903 PMCID: PMC4829149 DOI: 10.1371/journal.pone.0153294] [Citation(s) in RCA: 53] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2015] [Accepted: 03/28/2016] [Indexed: 12/31/2022] Open
Abstract
Recent metagenomic studies have demonstrated that the overall functional potential of the intestinal microbiome is rather conserved between healthy individuals. Here we assessed the biological processes undertaken in-vivo by microbes and the host in the intestinal tract by conducting a metaproteome analysis from a total of 48 faecal samples of 16 healthy adults participating in a placebo-controlled probiotic intervention trial. Half of the subjects received placebo and the other half consumed Lactobacillus rhamnosus GG for three weeks (1010 cfu per day). Faecal samples were collected just before and at the end of the consumption phase as well as after a three-week follow-up period, and were processed for microbial composition and metaproteome analysis. A common core of shared microbial protein functions could be identified in all subjects. Furthermore, we observed marked differences in expressed proteins between subjects that resulted in the definition of a stable and personalized microbiome both at the mass-spectrometry-based proteome level and the functional level based on the KEGG pathway analysis. No significant changes in the metaproteome were attributable to the probiotic intervention. A detailed taxonomic assignment of peptides and comparison to phylogenetic microarray data made it possible to evaluate the activity of the main phyla as well as key species, including Faecalibacterium prausnitzii. Several correlations were identified between human and bacterial proteins. Proteins of the human host accounted for approximately 14% of the identified metaproteome and displayed variations both between and within individuals. The individually different human intestinal proteomes point to personalized host-microbiota interactions. Our findings indicate that analysis of the intestinal metaproteome can complement gene-based analysis and contributes to a thorough understanding of the activities of the microbiome and the relevant pathways in health and disease.
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Affiliation(s)
- Carolin A. Kolmeder
- Department of Veterinary Biosciences, University of Helsinki, Helsinki, Finland
- * E-mail:
| | - Jarkko Salojärvi
- Department of Veterinary Biosciences, University of Helsinki, Helsinki, Finland
| | - Jarmo Ritari
- Department of Veterinary Biosciences, University of Helsinki, Helsinki, Finland
| | - Mark de Been
- Department of Veterinary Biosciences, University of Helsinki, Helsinki, Finland
- Department of Medical Microbiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Jeroen Raes
- KU Leuven, Department of Microbiology and Immunology, Rega Institute, Leuven, Belgium
- VIB, Center for the Biology of Disease, Leuven, Belgium
| | - Gwen Falony
- KU Leuven, Department of Microbiology and Immunology, Rega Institute, Leuven, Belgium
- VIB, Center for the Biology of Disease, Leuven, Belgium
| | - Sara Vieira-Silva
- KU Leuven, Department of Microbiology and Immunology, Rega Institute, Leuven, Belgium
- VIB, Center for the Biology of Disease, Leuven, Belgium
| | | | - Garry L. Corthals
- Translational Proteomics, Turku Center for Biotechnology, University of Turku and Åbo Akademi University, Turku, Finland
| | - Airi Palva
- Department of Veterinary Biosciences, University of Helsinki, Helsinki, Finland
| | - Anne Salonen
- Department of Veterinary Biosciences, University of Helsinki, Helsinki, Finland
- Department of Bacteriology and Immunology, Immunobiology Research Program, University of Helsinki, Helsinki, Finland
| | - Willem M. de Vos
- Department of Veterinary Biosciences, University of Helsinki, Helsinki, Finland
- Department of Bacteriology and Immunology, Immunobiology Research Program, University of Helsinki, Helsinki, Finland
- Laboratory of Microbiology, Wageningen University, Wageningen, The Netherlands
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White RA, Chan AM, Gavelis GS, Leander BS, Brady AL, Slater GF, Lim DSS, Suttle CA. Metagenomic Analysis Suggests Modern Freshwater Microbialites Harbor a Distinct Core Microbial Community. Front Microbiol 2016; 6:1531. [PMID: 26903951 PMCID: PMC4729913 DOI: 10.3389/fmicb.2015.01531] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2015] [Accepted: 12/21/2015] [Indexed: 11/13/2022] Open
Abstract
Modern microbialites are complex microbial communities that interface with abiotic factors to form carbonate-rich organosedimentary structures whose ancestors provide the earliest evidence of life. Past studies primarily on marine microbialites have inventoried diverse taxa and metabolic pathways, but it is unclear which of these are members of the microbialite community and which are introduced from adjacent environments. Here we control for these factors by sampling the surrounding water and nearby sediment, in addition to the microbialites and use a metagenomics approach to interrogate the microbial community. Our findings suggest that the Pavilion Lake microbialite community profile, metabolic potential and pathway distributions are distinct from those in the neighboring sediments and water. Based on RefSeq classification, members of the Proteobacteria (e.g., alpha and delta classes) were the dominant taxa in the microbialites, and possessed novel functional guilds associated with the metabolism of heavy metals, antibiotic resistance, primary alcohol biosynthesis and urea metabolism; the latter may help drive biomineralization. Urea metabolism within Pavilion Lake microbialites is a feature not previously associated in other microbialites. The microbialite communities were also significantly enriched for cyanobacteria and acidobacteria, which likely play an important role in biomineralization. Additional findings suggest that Pavilion Lake microbialites are under viral selection as genes associated with viral infection (e.g CRISPR-Cas, phage shock and phage excision) are abundant within the microbialite metagenomes. The morphology of Pavilion Lake microbialites changes dramatically with depth; yet, metagenomic data did not vary significantly by morphology or depth, indicating that microbialite morphology is altered by other factors, perhaps transcriptional differences or abiotic conditions. This work provides a comprehensive metagenomic perspective of the interactions and differences between microbialites and their surrounding environment, and reveals the distinct nature of these complex communities.
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Affiliation(s)
- Richard Allen White
- Department of Microbiology and Immunology, University of British Columbia, Vancouver BC, Canada
| | - Amy M Chan
- Department of Earth, Ocean and Atmospheric Sciences, University of British Columbia, Vancouver BC, Canada
| | - Gregory S Gavelis
- Department of Zoology, University of British Columbia, Vancouver BC, Canada
| | - Brian S Leander
- Department of Zoology, University of British Columbia, VancouverBC, Canada; Department of Botany, University of British Columbia, VancouverBC, Canada
| | - Allyson L Brady
- School of Geography and Earth Sciences, McMaster University, Hamilton ON, Canada
| | - Gregory F Slater
- School of Geography and Earth Sciences, McMaster University, Hamilton ON, Canada
| | - Darlene S S Lim
- Bay Area Environmental Institute, PetalumaCA, USA; NASA Ames Research Center, Moffett FieldCA, USA
| | - Curtis A Suttle
- Department of Microbiology and Immunology, University of British Columbia, VancouverBC, Canada; Department of Earth, Ocean and Atmospheric Sciences, University of British Columbia, VancouverBC, Canada; Department of Botany, University of British Columbia, VancouverBC, Canada; Canadian Institute for Advanced Research, TorontoON, Canada
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27
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Kolmeder CA, Ritari J, Verdam FJ, Muth T, Keskitalo S, Varjosalo M, Fuentes S, Greve JW, Buurman WA, Reichl U, Rapp E, Martens L, Palva A, Salonen A, Rensen SS, de Vos WM. Colonic metaproteomic signatures of active bacteria and the host in obesity. Proteomics 2015; 15:3544-52. [DOI: 10.1002/pmic.201500049] [Citation(s) in RCA: 59] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2015] [Revised: 07/03/2015] [Accepted: 07/24/2015] [Indexed: 11/10/2022]
Affiliation(s)
- Carolin A. Kolmeder
- Department of Veterinary Biosciences; University of Helsinki; Helsinki Finland
| | - Jarmo Ritari
- Department of Veterinary Biosciences; University of Helsinki; Helsinki Finland
| | - Froukje J. Verdam
- Department of General Surgery; NUTRIM School of Nutrition and Translational Research in Metabolism; Maastricht University Medical Center; Maastricht The Netherlands
| | - Thilo Muth
- Max Planck Institute for Dynamics of Complex Technical Systems; Bioprocess Engineering; Magdeburg Germany
| | - Salla Keskitalo
- Institute of Biotechnology; University of Helsinki; Helsinki Finland
| | - Markku Varjosalo
- Institute of Biotechnology; University of Helsinki; Helsinki Finland
| | - Susana Fuentes
- Laboratory of Microbiology; Wageningen University; Wageningen The Netherlands
| | - Jan Willem Greve
- Department of General Surgery; NUTRIM School of Nutrition and Translational Research in Metabolism; Maastricht University Medical Center; Maastricht The Netherlands
| | - Wim A. Buurman
- Department of General Surgery; NUTRIM School of Nutrition and Translational Research in Metabolism; Maastricht University Medical Center; Maastricht The Netherlands
| | - Udo Reichl
- Max Planck Institute for Dynamics of Complex Technical Systems; Bioprocess Engineering; Magdeburg Germany
- Chair of Bioprocess Engineering; Otto-von-Guericke University; Magdeburg Germany
| | - Erdmann Rapp
- Max Planck Institute for Dynamics of Complex Technical Systems; Bioprocess Engineering; Magdeburg Germany
| | - Lennart Martens
- Department of Biochemistry; Ghent University; Ghent Belgium
- VIB Medical Biotechnology Center; Department of Medical Protein Research; Ghent Belgium
| | - Airi Palva
- Department of Veterinary Biosciences; University of Helsinki; Helsinki Finland
| | - Anne Salonen
- Department of Bacteriology and Immunology; Immunobiology Research Program; University of Helsinki; Helsinki Finland
| | - Sander S. Rensen
- Department of General Surgery; NUTRIM School of Nutrition and Translational Research in Metabolism; Maastricht University Medical Center; Maastricht The Netherlands
| | - Willem M. de Vos
- Department of Veterinary Biosciences; University of Helsinki; Helsinki Finland
- Laboratory of Microbiology; Wageningen University; Wageningen The Netherlands
- Department of Bacteriology and Immunology; Immunobiology Research Program; University of Helsinki; Helsinki Finland
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The Integrative Human Microbiome Project: dynamic analysis of microbiome-host omics profiles during periods of human health and disease. Cell Host Microbe 2015; 16:276-89. [PMID: 25211071 PMCID: PMC5109542 DOI: 10.1016/j.chom.2014.08.014] [Citation(s) in RCA: 310] [Impact Index Per Article: 34.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Much has been learned about the diversity and distribution of human-associated microbial communities, but we still know little about the biology of the microbiome, how it interacts with the host, and how the host responds to its resident microbiota. The Integrative Human Microbiome Project (iHMP, http://hmp2.org), the second phase of the NIH Human Microbiome Project, will study these interactions by analyzing microbiome and host activities in longitudinal studies of disease-specific cohorts and by creating integrated data sets of microbiome and host functional properties. These data sets will serve as experimental test beds to evaluate new models, methods, and analyses on the interactions of host and microbiome. Here we describe the three models of microbiome-associated human conditions, on the dynamics of preterm birth, inflammatory bowel disease, and type 2 diabetes, and their underlying hypotheses, as well as the multi-omic data types to be collected, integrated, and distributed through public repositories as a community resource.
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Xiong W, Abraham PE, Li Z, Pan C, Hettich RL. Microbial metaproteomics for characterizing the range of metabolic functions and activities of human gut microbiota. Proteomics 2015; 15:3424-38. [PMID: 25914197 DOI: 10.1002/pmic.201400571] [Citation(s) in RCA: 68] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2014] [Revised: 03/08/2015] [Accepted: 04/21/2015] [Indexed: 01/12/2023]
Abstract
The human gastrointestinal tract is a complex, dynamic ecosystem that consists of a carefully tuned balance of human host and microbiota membership. The microbiome is not merely a collection of opportunistic parasites, but rather provides important functions to the host that are absolutely critical to many aspects of health, including nutrient transformation and absorption, drug metabolism, pathogen defense, and immune system development. Microbial metaproteomics provides the ability to characterize the human gut microbiota functions and metabolic activities at a remarkably deep level, revealing information about microbiome development and stability as well as their interactions with their human host. Generally, microbial and human proteins can be extracted and then measured by high performance MS-based proteomics technology. Here, we review the field of human gut microbiome metaproteomics, with a focus on the experimental and informatics considerations involved in characterizing systems ranging from low-complexity model gut microbiota in gnotobiotic mice, to the emerging gut microbiome in the GI tract of newborn human infants, and finally to an established gut microbiota in human adults.
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Affiliation(s)
- Weili Xiong
- Chemical Science Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA.,Graduate School of Genome Science and Technology, University of Tennessee, Knoxville, Tennessee, USA
| | - Paul E Abraham
- Chemical Science Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA
| | - Zhou Li
- Chemical Science Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA
| | - Chongle Pan
- Chemical Science Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA
| | - Robert L Hettich
- Chemical Science Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA.,Graduate School of Genome Science and Technology, University of Tennessee, Knoxville, Tennessee, USA
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30
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Muth T, Kolmeder CA, Salojärvi J, Keskitalo S, Varjosalo M, Verdam FJ, Rensen SS, Reichl U, de Vos WM, Rapp E, Martens L. Navigating through metaproteomics data: a logbook of database searching. Proteomics 2015; 15:3439-53. [PMID: 25778831 DOI: 10.1002/pmic.201400560] [Citation(s) in RCA: 90] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2014] [Revised: 02/13/2015] [Accepted: 03/06/2015] [Indexed: 11/12/2022]
Abstract
Metaproteomic research involves various computational challenges during the identification of fragmentation spectra acquired from the proteome of a complex microbiome. These issues are manifold and range from the construction of customized sequence databases, the optimal setting of search parameters to limitations in the identification search algorithms themselves. In order to assess the importance of these individual factors, we studied the effect of strategies to combine different search algorithms, explored the influence of chosen database search settings, and investigated the impact of the size of the protein sequence database used for identification. Furthermore, we applied de novo sequencing as a complementary approach to classic database searching. All evaluations were performed on a human intestinal metaproteome dataset. Pyrococcus furiosus proteome data were used to contrast database searching of metaproteomic data to a classic proteomic experiment. Searching against subsets of metaproteome databases and the use of multiple search engines increased the number of identifications. The integration of P. furiosus sequences in a metaproteomic sequence database showcased the limitation of the target-decoy-controlled false discovery rate approach in combination with large sequence databases. The selection of varying search engine parameters and the application of de novo sequencing represented useful methods to increase the reliability of the results. Based on our findings, we provide recommendations for the data analysis that help researchers to establish or improve analysis workflows in metaproteomics.
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Affiliation(s)
- Thilo Muth
- Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany
| | - Carolin A Kolmeder
- Department of Veterinary Biosciences, University of Helsinki, Helsinki, Finland
| | - Jarkko Salojärvi
- Department of Veterinary Biosciences, University of Helsinki, Helsinki, Finland
| | - Salla Keskitalo
- Institute of Biotechnology, University of Helsinki, Helsinki, Finland
| | - Markku Varjosalo
- Institute of Biotechnology, University of Helsinki, Helsinki, Finland
| | - Froukje J Verdam
- Department of General Surgery, NUTRIM, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Sander S Rensen
- Department of General Surgery, NUTRIM, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Udo Reichl
- Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany.,Otto-von-Guericke University, Bioprocess Engineering, Magdeburg, Germany
| | - Willem M de Vos
- Department of Veterinary Biosciences, University of Helsinki, Helsinki, Finland.,Department of Bacteriology and Immunology, University of Helsinki, Helsinki, Finland.,Laboratory of Microbiology, Wageningen University, Wageningen, The Netherlands
| | - Erdmann Rapp
- Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany
| | - Lennart Martens
- Department of Biochemistry, Ghent University, Ghent, Belgium.,Department of Medical Protein Research, VIB, Ghent, Belgium
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31
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Tanca A, Palomba A, Pisanu S, Deligios M, Fraumene C, Manghina V, Pagnozzi D, Addis MF, Uzzau S. A straightforward and efficient analytical pipeline for metaproteome characterization. MICROBIOME 2014; 2:49. [PMID: 25516796 PMCID: PMC4266899 DOI: 10.1186/s40168-014-0049-2] [Citation(s) in RCA: 68] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/17/2014] [Accepted: 11/11/2014] [Indexed: 05/27/2023]
Abstract
BACKGROUND The massive characterization of host-associated and environmental microbial communities has represented a real breakthrough in the life sciences in the last years. In this context, metaproteomics specifically enables the transition from assessing the genomic potential to actually measuring the functional expression of a microbiome. However, significant research efforts are still required to develop analysis pipelines optimized for metaproteome characterization. RESULTS This work presents an efficient analytical pipeline for shotgun metaproteomic analysis, combining bead-beating/freeze-thawing for protein extraction, filter-aided sample preparation for cleanup and digestion, and single-run liquid chromatography-tandem mass spectrometry for peptide separation and identification. The overall procedure is more time-effective and less labor-intensive when compared to state-of-the-art metaproteomic techniques. The pipeline was first evaluated using mock microbial mixtures containing different types of bacteria and yeasts, enabling the identification of up to over 15,000 non-redundant peptide sequences per run with a linear dynamic range from 10(4) to 10(8) colony-forming units. The pipeline was then applied to the mouse fecal metaproteome, leading to the overall identification of over 13,000 non-redundant microbial peptides with a false discovery rate of <1%, belonging to over 600 different microbial species and 250 functionally relevant protein families. An extensive mapping of the main microbial metabolic pathways actively functioning in the gut microbiome was also achieved. CONCLUSIONS The analytical pipeline presented here may be successfully used for the in-depth and time-effective characterization of complex microbial communities, such as the gut microbiome, and represents a useful tool for the microbiome research community.
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Affiliation(s)
- Alessandro Tanca
- />Porto Conte Ricerche, S.P. 55 Porto Conte/Capo Caccia Km 8.400, Tramariglio 07041 Alghero, Italy
| | - Antonio Palomba
- />Department of Biomedical Sciences, University of Sassari, Viale San Pietro 43/B, 07100 Sassari, Italy
| | - Salvatore Pisanu
- />Porto Conte Ricerche, S.P. 55 Porto Conte/Capo Caccia Km 8.400, Tramariglio 07041 Alghero, Italy
| | - Massimo Deligios
- />Department of Biomedical Sciences, University of Sassari, Viale San Pietro 43/B, 07100 Sassari, Italy
| | - Cristina Fraumene
- />Porto Conte Ricerche, S.P. 55 Porto Conte/Capo Caccia Km 8.400, Tramariglio 07041 Alghero, Italy
| | - Valeria Manghina
- />Department of Biomedical Sciences, University of Sassari, Viale San Pietro 43/B, 07100 Sassari, Italy
| | - Daniela Pagnozzi
- />Porto Conte Ricerche, S.P. 55 Porto Conte/Capo Caccia Km 8.400, Tramariglio 07041 Alghero, Italy
| | - Maria Filippa Addis
- />Porto Conte Ricerche, S.P. 55 Porto Conte/Capo Caccia Km 8.400, Tramariglio 07041 Alghero, Italy
| | - Sergio Uzzau
- />Porto Conte Ricerche, S.P. 55 Porto Conte/Capo Caccia Km 8.400, Tramariglio 07041 Alghero, Italy
- />Department of Biomedical Sciences, University of Sassari, Viale San Pietro 43/B, 07100 Sassari, Italy
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32
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Juste C, Kreil DP, Beauvallet C, Guillot A, Vaca S, Carapito C, Mondot S, Sykacek P, Sokol H, Blon F, Lepercq P, Levenez F, Valot B, Carré W, Loux V, Pons N, David O, Schaeffer B, Lepage P, Martin P, Monnet V, Seksik P, Beaugerie L, Ehrlich SD, Gibrat JF, Van Dorsselaer A, Doré J. Bacterial protein signals are associated with Crohn's disease. Gut 2014; 63:1566-77. [PMID: 24436141 PMCID: PMC4173658 DOI: 10.1136/gutjnl-2012-303786] [Citation(s) in RCA: 69] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
OBJECTIVE No Crohn's disease (CD) molecular maker has advanced to clinical use, and independent lines of evidence support a central role of the gut microbial community in CD. Here we explore the feasibility of extracting bacterial protein signals relevant to CD, by interrogating myriads of intestinal bacterial proteomes from a small number of patients and healthy controls. DESIGN We first developed and validated a workflow-including extraction of microbial communities, two-dimensional difference gel electrophoresis (2D-DIGE), and LC-MS/MS-to discover protein signals from CD-associated gut microbial communities. Then we used selected reaction monitoring (SRM) to confirm a set of candidates. In parallel, we used 16S rRNA gene sequencing for an integrated analysis of gut ecosystem structure and functions. RESULTS Our 2D-DIGE-based discovery approach revealed an imbalance of intestinal bacterial functions in CD. Many proteins, largely derived from Bacteroides species, were over-represented, while under-represented proteins were mostly from Firmicutes and some Prevotella members. Most overabundant proteins could be confirmed using SRM. They correspond to functions allowing opportunistic pathogens to colonise the mucus layers, breach the host barriers and invade the mucosae, which could still be aggravated by decreased host-derived pancreatic zymogen granule membrane protein GP2 in CD patients. Moreover, although the abundance of most protein groups reflected that of related bacterial populations, we found a specific independent regulation of bacteria-derived cell envelope proteins. CONCLUSIONS This study provides the first evidence that quantifiable bacterial protein signals are associated with CD, which can have a profound impact on future molecular diagnosis.
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Affiliation(s)
| | - David P Kreil
- Chair of Bioinformatics, Boku University Vienna, Vienna, Austria,Department of Life Sciences, University of Warwick, Warwickshire, UK
| | | | - Alain Guillot
- Plate-forme d'Analyse Protéomique de Paris Sud-Ouest (PAPPSO), INRA, Gif-sur-Yvette, France
| | - Sebastian Vaca
- Laboratoire de Spectrométrie de Masse BioOrganique (LSMBO), IPHC, Université de Strasbourg, Strasbourg, France
| | - Christine Carapito
- Laboratoire de Spectrométrie de Masse BioOrganique (LSMBO), IPHC, Université de Strasbourg, Strasbourg, France
| | | | - Peter Sykacek
- Chair of Bioinformatics, Boku University Vienna, Vienna, Austria
| | - Harry Sokol
- UMR1319 Micalis, INRA, Jouy-en-Josas, France,Gastroenterology and Nutrition Unit, Hôpital Saint-Antoine, AP-HP, Paris, France
| | | | | | | | - Benoît Valot
- Plate-forme d'Analyse Protéomique de Paris Sud-Ouest (PAPPSO), INRA, Gif-sur-Yvette, France
| | - Wilfrid Carré
- UR1077, Mathématique Informatique et Génome (MIG), INRA, Jouy-en-Josas, France
| | - Valentin Loux
- UR1077, Mathématique Informatique et Génome (MIG), INRA, Jouy-en-Josas, France
| | | | - Olivier David
- UR341, Mathématiques et Informatique Appliquées (MIA), INRA, Jouy-en-Josas, France
| | - Brigitte Schaeffer
- UR341, Mathématiques et Informatique Appliquées (MIA), INRA, Jouy-en-Josas, France
| | | | - Patrice Martin
- UMR1313 GABI, Iso Cell Express (ICE), INRA, Jouy-en-Josas, France
| | | | - Philippe Seksik
- Gastroenterology and Nutrition Unit, Hôpital Saint-Antoine, AP-HP, Paris, France
| | - Laurent Beaugerie
- Gastroenterology and Nutrition Unit, Hôpital Saint-Antoine, AP-HP, Paris, France
| | | | | | - Alain Van Dorsselaer
- Laboratoire de Spectrométrie de Masse BioOrganique (LSMBO), IPHC, Université de Strasbourg, Strasbourg, France
| | - Joël Doré
- UMR1319 Micalis, INRA, Jouy-en-Josas, France
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33
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Williams TJ, Cavicchioli R. Marine metaproteomics: deciphering the microbial metabolic food web. Trends Microbiol 2014; 22:248-60. [PMID: 24731505 DOI: 10.1016/j.tim.2014.03.004] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2014] [Revised: 03/12/2014] [Accepted: 03/12/2014] [Indexed: 10/25/2022]
Abstract
Metaproteomics can be applied to marine systems to discover metabolic processes in the ocean. This review describes current breakthroughs regarding marine microbes in the areas of microbial procurement of nutrients, important and previously unrecognized metabolic processes, functional roles for proteins with previously unknown functions, and intricate networks of metabolic interactions between symbiotic microbes and their hosts. By recognizing that metaproteomics empowers our understanding of the roles that marine microbes play in global biogeochemical cycles, the achievements to date from this advancing field highlight the enormous potential that the future holds.
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Affiliation(s)
- Timothy J Williams
- School of Biotechnology and Biomolecular Sciences, The University of New South Wales, Sydney, New South Wales 2052, Australia
| | - Ricardo Cavicchioli
- School of Biotechnology and Biomolecular Sciences, The University of New South Wales, Sydney, New South Wales 2052, Australia.
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34
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Fodor A. Utilizing “Omics” Tools to Study the Complex Gut Ecosystem. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2014; 817:25-38. [DOI: 10.1007/978-1-4939-0897-4_2] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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35
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Alverdy J, Gilbert J, DeFazio JR, Sadowsky MJ, Chang EB, Morowitz MJ, Teitelbaum DH. Proceedings of the 2013 A.S.P.E.N. Research workshop: the interface between nutrition and the gut microbiome: implications and applications for human health [corrected]. JPEN J Parenter Enteral Nutr 2013; 38:167-78. [PMID: 24379111 DOI: 10.1177/0148607113517904] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
The human and earth microbiomes are among the most important biological agents in understanding and preventing disease. Technology is advancing at a fast pace and allowing for high-resolution analysis of the composition and function of our microbial partners across regions, space, and time. Bioinformaticists and biostatisticians are developing ever more elegant displays to understand the generated megadatasets. A virtual cyberinfrastructure of search engines to cross-reference the rapidly developing data is emerging in line with technologic advances. Nutrition science will reap the benefits of this new field, and its role in preserving the earth and the humans who inhabit it will become evidently clear. In this report we highlight some of the topics of an A.S.P.E.N.-sponsored symposium held during Clinical Nutrition Week in 2013 that address the importance of the human microbiome to human health and disease.
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Affiliation(s)
- John Alverdy
- Department of Surgery, University of Chicago, Chicago, Illinois
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36
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Tanca A, Palomba A, Deligios M, Cubeddu T, Fraumene C, Biosa G, Pagnozzi D, Addis MF, Uzzau S. Evaluating the impact of different sequence databases on metaproteome analysis: insights from a lab-assembled microbial mixture. PLoS One 2013; 8:e82981. [PMID: 24349410 PMCID: PMC3857319 DOI: 10.1371/journal.pone.0082981] [Citation(s) in RCA: 83] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2013] [Accepted: 10/30/2013] [Indexed: 01/10/2023] Open
Abstract
Metaproteomics enables the investigation of the protein repertoire expressed by complex microbial communities. However, to unleash its full potential, refinements in bioinformatic approaches for data analysis are still needed. In this context, sequence databases selection represents a major challenge. This work assessed the impact of different databases in metaproteomic investigations by using a mock microbial mixture including nine diverse bacterial and eukaryotic species, which was subjected to shotgun metaproteomic analysis. Then, both the microbial mixture and the single microorganisms were subjected to next generation sequencing to obtain experimental metagenomic- and genomic-derived databases, which were used along with public databases (namely, NCBI, UniProtKB/SwissProt and UniProtKB/TrEMBL, parsed at different taxonomic levels) to analyze the metaproteomic dataset. First, a quantitative comparison in terms of number and overlap of peptide identifications was carried out among all databases. As a result, only 35% of peptides were common to all database classes; moreover, genus/species-specific databases provided up to 17% more identifications compared to databases with generic taxonomy, while the metagenomic database enabled a slight increment in respect to public databases. Then, database behavior in terms of false discovery rate and peptide degeneracy was critically evaluated. Public databases with generic taxonomy exhibited a markedly different trend compared to the counterparts. Finally, the reliability of taxonomic attribution according to the lowest common ancestor approach (using MEGAN and Unipept software) was assessed. The level of misassignments varied among the different databases, and specific thresholds based on the number of taxon-specific peptides were established to minimize false positives. This study confirms that database selection has a significant impact in metaproteomics, and provides critical indications for improving depth and reliability of metaproteomic results. Specifically, the use of iterative searches and of suitable filters for taxonomic assignments is proposed with the aim of increasing coverage and trustworthiness of metaproteomic data.
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Affiliation(s)
- Alessandro Tanca
- Porto Conte Ricerche Srl, Tramariglio, Alghero, Italy
- Dipartimento di Scienze Biomediche, Università di Sassari, Sassari, Italy
| | - Antonio Palomba
- Dipartimento di Scienze Biomediche, Università di Sassari, Sassari, Italy
| | - Massimo Deligios
- Porto Conte Ricerche Srl, Tramariglio, Alghero, Italy
- Dipartimento di Scienze Biomediche, Università di Sassari, Sassari, Italy
| | | | | | - Grazia Biosa
- Porto Conte Ricerche Srl, Tramariglio, Alghero, Italy
| | | | - Maria Filippa Addis
- Porto Conte Ricerche Srl, Tramariglio, Alghero, Italy
- Dipartimento di Scienze Biomediche, Università di Sassari, Sassari, Italy
- * E-mail: (MFA); (SU)
| | - Sergio Uzzau
- Porto Conte Ricerche Srl, Tramariglio, Alghero, Italy
- Dipartimento di Scienze Biomediche, Università di Sassari, Sassari, Italy
- * E-mail: (MFA); (SU)
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Muth T, Benndorf D, Reichl U, Rapp E, Martens L. Searching for a needle in a stack of needles: challenges in metaproteomics data analysis. MOLECULAR BIOSYSTEMS 2013; 9:578-85. [PMID: 23238088 DOI: 10.1039/c2mb25415h] [Citation(s) in RCA: 62] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
In the past years the integral study of microbial communities of varying complexity has gained increasing research interest. Mass spectrometry-driven metaproteomics enables the analysis of such communities on the functional level, but this fledgling field still faces various technical and semantic challenges regarding experimental data analysis and interpretation. In the present review, we outline the hurdles involved and attempt to cover the most valuable methods and software implementations available to researchers in the field today. Beyond merely focusing on protein identification, we provide an overview on different data pre- and post-processing steps, such as metabolic pathway analysis, that can be useful in a typical metaproteomics workflow. Finally, we briefly discuss directions for future work.
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Affiliation(s)
- Thilo Muth
- Max Planck Institute for Dynamics of Complex Technical Systems, Bioprocess Engineering, Magdeburg, Germany
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38
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Kolmeder CA, de Vos WM. Metaproteomics of our microbiome - developing insight in function and activity in man and model systems. J Proteomics 2013; 97:3-16. [PMID: 23707234 DOI: 10.1016/j.jprot.2013.05.018] [Citation(s) in RCA: 88] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2012] [Revised: 05/13/2013] [Accepted: 05/16/2013] [Indexed: 12/17/2022]
Abstract
We are all colonized by a large microbiome, a complex set of microbes that have intimate associations with us. Culture-based approaches have provided insights in the complexity of the microbial communities living on surfaces inside and outside the body. However, the application of high-throughput sequencing technologies has identified large numbers of community members at both the phylogenetic and the (meta-)genome level. The latter allowed defining a reference set of several millions of mainly bacterial genes and provided the basis for developing approaches to target the activity and function of the human microbiome with proteomic techniques. Moreover, recent improvements in protein and peptide separation efficiencies and highly accurate mass spectrometers have promoted the field of metaproteomics, the study of the collective proteome of microbial communities. We here review the approaches that have been developed to study the human metaproteomes, focusing on intestinal tract and body fluids. Moreover, we complement these by considering metaproteomic studies in mouse and other model systems offering the option to study single species or simple consortia. Finally, we discuss present and future avenues that may be used to advance the application of metaproteomic approaches to further improve our understanding of the microbes inside and around our body. This article is part of a Special Issue entitled: Trends in Microbial Proteomics.
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Affiliation(s)
- Carolin A Kolmeder
- Department of Veterinary Biosciences, University of Helsinki, P.O. Box 66, FIN-00014 Helsinki, Finland.
| | - Willem M de Vos
- Department of Veterinary Biosciences, University of Helsinki, P.O. Box 66, FIN-00014 Helsinki, Finland; Department of Bacteriology and Immunology, University of Helsinki, P.O. Box 21, FIN-00014 Helsinki, Finland; Laboratory of Microbiology, Wageningen University, Dreijenplein 10, 6703 HB Wageningen, The Netherlands
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39
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Insights from quantitative metaproteomics and protein-stable isotope probing into microbial ecology. ISME JOURNAL 2013; 7:1877-85. [PMID: 23677009 DOI: 10.1038/ismej.2013.78] [Citation(s) in RCA: 91] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/12/2012] [Revised: 04/08/2013] [Accepted: 04/13/2013] [Indexed: 01/09/2023]
Abstract
The recent development of metaproteomics has enabled the direct identification and quantification of expressed proteins from microbial communities in situ, without the need for microbial enrichment. This became possible by (1) significant increases in quality and quantity of metagenome data and by improvements of (2) accuracy and (3) sensitivity of modern mass spectrometers (MS). The identification of physiologically relevant enzymes can help to understand the role of specific species within a community or an ecological niche. Beside identification, relative and absolute quantitation is also crucial. We will review label-free and label-based methods of quantitation in MS-based proteome analysis and the contribution of quantitative proteome data to microbial ecology. Additionally, approaches of protein-based stable isotope probing (protein-SIP) for deciphering community structures are reviewed. Information on the species-specific metabolic activity can be obtained when substrates or nutrients are labeled with stable isotopes in a protein-SIP approach. The stable isotopes ((13)C, (15)N, (36)S) are incorporated into proteins and the rate of incorporation can be used for assessing the metabolic activity of the corresponding species. We will focus on the relevance of the metabolic and phylogenetic information retrieved with protein-SIP studies and for detecting and quantifying the carbon flux within microbial consortia. Furthermore, the combination of protein-SIP with established tools in microbial ecology such as other stable isotope probing techniques are discussed.
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40
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Jagtap P, Goslinga J, Kooren JA, McGowan T, Wroblewski MS, Seymour SL, Griffin TJ. A two-step database search method improves sensitivity in peptide sequence matches for metaproteomics and proteogenomics studies. Proteomics 2013; 13:1352-7. [PMID: 23412978 DOI: 10.1002/pmic.201200352] [Citation(s) in RCA: 136] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2012] [Revised: 01/19/2013] [Accepted: 01/31/2013] [Indexed: 11/06/2022]
Abstract
Large databases (>10(6) sequences) used in metaproteomic and proteogenomic studies present challenges in matching peptide sequences to MS/MS data using database-search programs. Most notably, strict filtering to avoid false-positive matches leads to more false negatives, thus constraining the number of peptide matches. To address this challenge, we developed a two-step method wherein matches derived from a primary search against a large database were used to create a smaller subset database. The second search was performed against a target-decoy version of this subset database merged with a host database. High confidence peptide sequence matches were then used to infer protein identities. Applying our two-step method for both metaproteomic and proteogenomic analysis resulted in twice the number of high confidence peptide sequence matches in each case, as compared to the conventional one-step method. The two-step method captured almost all of the same peptides matched by the one-step method, with a majority of the additional matches being false negatives from the one-step method. Furthermore, the two-step method improved results regardless of the database search program used. Our results show that our two-step method maximizes the peptide matching sensitivity for applications requiring large databases, especially valuable for proteogenomics and metaproteomics studies.
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Affiliation(s)
- Pratik Jagtap
- Minnesota Supercomputing Institute, Minneapolis, MN, USA.
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41
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Gevers D, Pop M, Schloss PD, Huttenhower C. Bioinformatics for the Human Microbiome Project. PLoS Comput Biol 2012; 8:e1002779. [PMID: 23209389 PMCID: PMC3510052 DOI: 10.1371/journal.pcbi.1002779] [Citation(s) in RCA: 55] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023] Open
Affiliation(s)
- Dirk Gevers
- The Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America
- * E-mail: (DG); (MP); (PS); (CH)
| | - Mihai Pop
- Department of Computer Science and Center for Bioinformatics and Computational Biology, University of Maryland, College Park, Maryland, United States of America
- * E-mail: (DG); (MP); (PS); (CH)
| | - Patrick D. Schloss
- Department of Microbiology & Immunology, University of Michigan, Ann Arbor, Michigan, United States of America
- * E-mail: (DG); (MP); (PS); (CH)
| | - Curtis Huttenhower
- The Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America
- Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts, United States of America
- * E-mail: (DG); (MP); (PS); (CH)
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42
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Erickson AR, Cantarel BL, Lamendella R, Darzi Y, Mongodin EF, Pan C, Shah M, Halfvarson J, Tysk C, Henrissat B, Raes J, Verberkmoes NC, Fraser CM, Hettich RL, Jansson JK. Integrated metagenomics/metaproteomics reveals human host-microbiota signatures of Crohn's disease. PLoS One 2012; 7:e49138. [PMID: 23209564 PMCID: PMC3509130 DOI: 10.1371/journal.pone.0049138] [Citation(s) in RCA: 303] [Impact Index Per Article: 25.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2012] [Accepted: 10/03/2012] [Indexed: 12/11/2022] Open
Abstract
Crohn's disease (CD) is an inflammatory bowel disease of complex etiology, although dysbiosis of the gut microbiota has been implicated in chronic immune-mediated inflammation associated with CD. Here we combined shotgun metagenomic and metaproteomic approaches to identify potential functional signatures of CD in stool samples from six twin pairs that were either healthy, or that had CD in the ileum (ICD) or colon (CCD). Integration of these omics approaches revealed several genes, proteins, and pathways that primarily differentiated ICD from healthy subjects, including depletion of many proteins in ICD. In addition, the ICD phenotype was associated with alterations in bacterial carbohydrate metabolism, bacterial-host interactions, as well as human host-secreted enzymes. This eco-systems biology approach underscores the link between the gut microbiota and functional alterations in the pathophysiology of Crohn's disease and aids in identification of novel diagnostic targets and disease specific biomarkers.
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Affiliation(s)
- Alison R. Erickson
- Chemical Science Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States of America
- Graduate School of Genome Science and Technology, University of Tennessee, Knoxville, Tennessee, United States of America
| | - Brandi L. Cantarel
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, Maryland, United States of America
| | - Regina Lamendella
- Department of Ecology, Earth Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America
| | - Youssef Darzi
- Bioinformatics and Eco-Systems Biology lab, Department of Structural Biology, Vrije Universiteit Brussel, Brussels, Belgium
- Research Group of Microbiology (MICR), Faculty of Sciences and Bioengineering Sciences, Vrije Universiteit Brussel, Brussels, Belgium
| | - Emmanuel F. Mongodin
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, Maryland, United States of America
| | - Chongle Pan
- Chemical Science Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States of America
| | - Manesh Shah
- Chemical Science Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States of America
| | - Jonas Halfvarson
- Department of Internal Medicine, Division of Gastroenterology, Örebro University Hospital and School of Health and Medical Sciences, Örebro University, Örebro, Sweden
| | - Curt Tysk
- Department of Internal Medicine, Division of Gastroenterology, Örebro University Hospital and School of Health and Medical Sciences, Örebro University, Örebro, Sweden
| | - Bernard Henrissat
- Architecture et Fonction des Macromolécules Biologiques, UMR6098, Centre national de la recherche scientifique, Universités Aix-Marseille I & II, Marseille, France
| | - Jeroen Raes
- Bioinformatics and Eco-Systems Biology lab, Department of Structural Biology, Vrije Universiteit Brussel, Brussels, Belgium
- Research Group of Microbiology (MICR), Faculty of Sciences and Bioengineering Sciences, Vrije Universiteit Brussel, Brussels, Belgium
| | - Nathan C. Verberkmoes
- Chemical Science Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States of America
| | - Claire M. Fraser
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, Maryland, United States of America
| | - Robert L. Hettich
- Chemical Science Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States of America
| | - Janet K. Jansson
- Department of Ecology, Earth Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America
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43
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de Vos WM, de Vos EAJ. Role of the intestinal microbiome in health and disease: from correlation to causation. Nutr Rev 2012; 70 Suppl 1:S45-56. [PMID: 22861807 DOI: 10.1111/j.1753-4887.2012.00505.x] [Citation(s) in RCA: 264] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Recorded observations indicating an association between intestinal microbes and health are long-standing in terms of specific diseases, but emerging high-throughput technologies that characterize microbial communities in the intestinal tract are suggesting new roles for the supposedly normal microbiome. This review considers the nature of the evidence supporting a relationship between the microbiota and the predisposition to disease as associative, correlative, or causal. Altogether, indirect or associative support currently dominates the evidence base, which now suggests that the intestinal microbiome can be linked to a growing number of over 25 diseases or syndromes. While only a handful of cause-and-effect studies have been performed, this form of evidence is increasing. The results of such studies are expected to be useful in monitoring disease development, in providing a basis for personalized treatments, and in indicating future therapeutic avenues.
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Affiliation(s)
- Willem M de Vos
- Laboratory of Microbiology, Wageningen University, Wageningen, The Netherlands.
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44
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Ferrer M, Ruiz A, Lanza F, Haange SB, Oberbach A, Till H, Bargiela R, Campoy C, Segura MT, Richter M, von Bergen M, Seifert J, Suarez A. Microbiota from the distal guts of lean and obese adolescents exhibit partial functional redundancy besides clear differences in community structure. Environ Microbiol 2012; 15:211-26. [PMID: 22891823 DOI: 10.1111/j.1462-2920.2012.02845.x] [Citation(s) in RCA: 160] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
Recent research has disclosed a tight connection between obesity, metabolic gut microbial activities and host health. Obtaining a complete understanding of this relationship remains a major goal. Here, we conducted a comparative metagenomic and metaproteomic investigation of gut microbial communities in faecal samples taken from an obese and a lean adolescent. By analysing the diversity of 16S rDNA amplicons (10% operational phylogenetic units being common), 22 Mbp of consensus metagenome sequences (~70% common) and the expression profiles of 613 distinct proteins (82% common), we found that in the obese gut, the total microbiota was more abundant on the phylum Firmicutes (94.6%) as compared with Bacteroidetes (3.2%), although the metabolically active microbiota clearly behaves in a more homogeneous manner with both contributing equally. The lean gut showed a remarkable shift towards Bacteroidetes (18.9% total 16S rDNA), which become the most active fraction (81% proteins). Although the two gut communities maintained largely similar gene repertoires and functional profiles, improved pili- and flagella-mediated host colonization and improved capacity for both complementary aerobic and anaerobic de novo B(12) synthesis, 1,2-propanediol catabolism (most likely participating in de novo B(12) synthesis) and butyrate production were observed in the obese gut, whereas bacteria from lean gut seem to be more engaged in vitamin B(6) synthesis. Furthermore, this study provides functional evidence that variable combinations of species from different phyla could 'presumptively' fulfil overlapping and/or complementary functional roles required by the host, a scenario where minor bacterial taxa seem to be significant active contributors.
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45
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Hettich RL, Sharma R, Chourey K, Giannone RJ. Microbial metaproteomics: identifying the repertoire of proteins that microorganisms use to compete and cooperate in complex environmental communities. Curr Opin Microbiol 2012; 15:373-80. [PMID: 22632760 DOI: 10.1016/j.mib.2012.04.008] [Citation(s) in RCA: 57] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2012] [Accepted: 04/27/2012] [Indexed: 10/28/2022]
Abstract
The availability of genome information for microbial consortia, including unculturable species, from environmental samples has enabled systems-biology interrogation by providing a means to access genomic, transcriptomic, and proteomic information. This provides a unique opportunity to characterize the molecular activities and interactions of these microbial systems at a comprehensive level never before possible. Such information not only provides details about the organizational, functional, and metabolic activities of such systems, but also the untapped reserve of molecular activities that might be invoked and exploited under certain environmental conditions. Since bacteria naturally exist in complex ecosystems, it is imperative to develop and utilize analytical approaches that can provide molecular level details on systems consisting of mixed microbial membership. This is the realm of metaproteomics-the characterization of the complement of proteins expressed by a microbial community in an environmental sample.
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46
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Lamendella R, VerBerkmoes N, Jansson JK. 'Omics' of the mammalian gut--new insights into function. Curr Opin Biotechnol 2012; 23:491-500. [PMID: 22626866 DOI: 10.1016/j.copbio.2012.01.016] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2011] [Revised: 01/23/2012] [Accepted: 01/28/2012] [Indexed: 12/27/2022]
Abstract
To understand the role of gut microbes in host health, it is imperative to probe their genetic potential, expression, and ecological status. The current high-throughput sequencing revolution, in addition to advances in mass spectrometry-based proteomics, have recently enabled deep access to these complex environments, and are revealing important insights into the roles of the gastrointestinal (GI) microbiota in host physiology and health. This review discusses examples of how the integration of cutting-edge 'meta-omics' technologies are providing new knowledge about the relationships between host health status in mammals and the microbes inhabiting the GI tract. In addition, we address some promises that these techniques hold for future therapeutic and diagnostic applications.
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Affiliation(s)
- Regina Lamendella
- Lawrence Berkley National Laboratory, 1 Cyclotron Road, Berkeley, CA 92597, USA
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47
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Key players and team play: anaerobic microbial communities in hydrocarbon-contaminated aquifers. Appl Microbiol Biotechnol 2012; 94:851-73. [PMID: 22476263 DOI: 10.1007/s00253-012-4025-0] [Citation(s) in RCA: 69] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2012] [Revised: 03/13/2012] [Accepted: 03/14/2012] [Indexed: 02/06/2023]
Abstract
Biodegradation of anthropogenic pollutants in shallow aquifers is an important microbial ecosystem service which is mainly brought about by indigenous anaerobic microorganisms. For the management of contaminated sites, risk assessment and control of natural attenuation, the assessment of in situ biodegradation and the underlying microbial processes is essential. The development of novel molecular methods, "omics" approaches, and high-throughput techniques has revealed new insight into complex microbial communities and their functions in anoxic environmental systems. This review summarizes recent advances in the application of molecular methods to study anaerobic microbial communities in contaminated terrestrial subsurface ecosystems. We focus on current approaches to analyze composition, dynamics, and functional diversity of subsurface communities, to link identity to activity and metabolic function, and to identify the ecophysiological role of not yet cultured microbes and syntrophic consortia. We discuss recent molecular surveys of contaminated sites from an ecological viewpoint regarding degrader ecotypes, abiotic factors shaping anaerobic communities, and biotic interactions underpinning the importance of microbial cooperation for microbial ecosystem services such as contaminant degradation.
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