1
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Fossati A, Mozumdar D, Kokontis C, Mèndez-Moran M, Nieweglowska E, Pelin A, Li Y, Guo B, Krogan NJ, Agard DA, Bondy-Denomy J, Swaney DL. Next-generation proteomics for quantitative Jumbophage-bacteria interaction mapping. Nat Commun 2023; 14:5156. [PMID: 37620325 PMCID: PMC10449902 DOI: 10.1038/s41467-023-40724-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Accepted: 08/07/2023] [Indexed: 08/26/2023] Open
Abstract
Host-pathogen interactions are pivotal in regulating establishment, progression, and outcome of an infection. While affinity-purification mass spectrometry has become instrumental in characterizing such interactions, it suffers from limitations in scalability and biological authenticity. Here we present the use of co-fractionation mass spectrometry for high throughput analysis of host-pathogen interactions from native viral infections of two jumbophages (ϕKZ and ϕPA3) in Pseudomonas aeruginosa. This approach enabled the detection of > 6000 unique host-pathogen interactions for each phage, encompassing > 50% of their respective proteomes. This deep coverage provided evidence for interactions between KZ-like phage proteins and the host ribosome, and revealed protein complexes for previously undescribed phage ORFs, including a ϕPA3 complex showing strong structural and sequence similarity to ϕKZ non-virion RNA polymerase. Interactome-wide comparison across phages showed similar perturbed protein interactions suggesting fundamentally conserved mechanisms of phage predation within the KZ-like phage family. To enable accessibility to this data, we developed PhageMAP, an online resource for network query, visualization, and interaction prediction ( https://phagemap.ucsf.edu/ ). We anticipate this study will lay the foundation for the application of co-fractionation mass spectrometry for the scalable profiling of host-pathogen interactomes and protein complex dynamics upon infection.
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Affiliation(s)
- Andrea Fossati
- J. David Gladstone Institutes, San Francisco, 94158, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, 94158, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, 94158, CA, USA
| | - Deepto Mozumdar
- Department of Immunology and Microbiology, University of California San Francisco, San Francisco, 94158, CA, USA
| | - Claire Kokontis
- Department of Immunology and Microbiology, University of California San Francisco, San Francisco, 94158, CA, USA
| | - Melissa Mèndez-Moran
- Department of Biochemistry, University of California San Francisco, San Francisco, 94143, CA, USA
| | - Eliza Nieweglowska
- Department of Biochemistry, University of California San Francisco, San Francisco, 94143, CA, USA
| | - Adrian Pelin
- J. David Gladstone Institutes, San Francisco, 94158, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, 94158, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, 94158, CA, USA
| | - Yuping Li
- Department of Immunology and Microbiology, University of California San Francisco, San Francisco, 94158, CA, USA
| | - Baron Guo
- Department of Immunology and Microbiology, University of California San Francisco, San Francisco, 94158, CA, USA
| | - Nevan J Krogan
- J. David Gladstone Institutes, San Francisco, 94158, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, 94158, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, 94158, CA, USA
| | - David A Agard
- Department of Biochemistry, University of California San Francisco, San Francisco, 94143, CA, USA
| | - Joseph Bondy-Denomy
- Department of Immunology and Microbiology, University of California San Francisco, San Francisco, 94158, CA, USA.
| | - Danielle L Swaney
- J. David Gladstone Institutes, San Francisco, 94158, CA, USA.
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, 94158, CA, USA.
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, 94158, CA, USA.
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2
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Sae-Lee W, McCafferty CL, Verbeke EJ, Havugimana PC, Papoulas O, McWhite CD, Houser JR, Vanuytsel K, Murphy GJ, Drew K, Emili A, Taylor DW, Marcotte EM. The protein organization of a red blood cell. Cell Rep 2022; 40:111103. [PMID: 35858567 PMCID: PMC9764456 DOI: 10.1016/j.celrep.2022.111103] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Revised: 04/18/2022] [Accepted: 06/24/2022] [Indexed: 11/28/2022] Open
Abstract
Red blood cells (RBCs) (erythrocytes) are the simplest primary human cells, lacking nuclei and major organelles and instead employing about a thousand proteins to dynamically control cellular function and morphology in response to physiological cues. In this study, we define a canonical RBC proteome and interactome using quantitative mass spectrometry and machine learning. Our data reveal an RBC interactome dominated by protein homeostasis, redox biology, cytoskeletal dynamics, and carbon metabolism. We validate protein complexes through electron microscopy and chemical crosslinking and, with these data, build 3D structural models of the ankyrin/Band 3/Band 4.2 complex that bridges the spectrin cytoskeleton to the RBC membrane. The model suggests spring-like compression of ankyrin may contribute to the characteristic RBC cell shape and flexibility. Taken together, our study provides an in-depth view of the global protein organization of human RBCs and serves as a comprehensive resource for future research.
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Affiliation(s)
- Wisath Sae-Lee
- Department of Molecular Biosciences, Center for Systems and Synthetic Biology, University of Texas, Austin, TX 78712, USA
| | - Caitlyn L McCafferty
- Department of Molecular Biosciences, Center for Systems and Synthetic Biology, University of Texas, Austin, TX 78712, USA
| | - Eric J Verbeke
- Department of Molecular Biosciences, Center for Systems and Synthetic Biology, University of Texas, Austin, TX 78712, USA
| | - Pierre C Havugimana
- Center for Network Systems Biology, Boston University, Boston, MA 02118, USA
| | - Ophelia Papoulas
- Department of Molecular Biosciences, Center for Systems and Synthetic Biology, University of Texas, Austin, TX 78712, USA
| | - Claire D McWhite
- Department of Molecular Biosciences, Center for Systems and Synthetic Biology, University of Texas, Austin, TX 78712, USA
| | - John R Houser
- Department of Molecular Biosciences, Center for Systems and Synthetic Biology, University of Texas, Austin, TX 78712, USA
| | - Kim Vanuytsel
- Center for Regenerative Medicine, Boston University School of Medicine, 670 Albany Street, Boston, MA 02118, USA
| | - George J Murphy
- Center for Regenerative Medicine, Boston University School of Medicine, 670 Albany Street, Boston, MA 02118, USA
| | - Kevin Drew
- Department of Biological Sciences, University of Illinois at Chicago, 900 S. Ashland Avenue, Chicago, IL 60607, USA
| | - Andrew Emili
- Center for Network Systems Biology, Boston University, Boston, MA 02118, USA
| | - David W Taylor
- Department of Molecular Biosciences, Center for Systems and Synthetic Biology, University of Texas, Austin, TX 78712, USA
| | - Edward M Marcotte
- Department of Molecular Biosciences, Center for Systems and Synthetic Biology, University of Texas, Austin, TX 78712, USA.
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3
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Wang Y, Jiang B, Wu Y, He X, Liu L. Rapid intraspecies evolution of fitness effects of yeast genes. Genome Biol Evol 2022; 14:6575331. [PMID: 35482054 PMCID: PMC9113246 DOI: 10.1093/gbe/evac061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/21/2022] [Indexed: 11/14/2022] Open
Abstract
Organisms within species have numerous genetic and phenotypic variations. Growing evidences show intraspecies variation of mutant phenotypes may be more complicated than expected. Current studies on intraspecies variations of mutant phenotypes are limited to just a few strains. This study investigated the intraspecies variation of fitness effects of 5,630 gene mutants in ten Saccharomyces cerevisiae strains using CRISPR–Cas9 screening. We found that the variability of fitness effects induced by gene disruptions is very large across different strains. Over 75% of genes affected cell fitness in a strain-specific manner to varying degrees. The strain specificity of the fitness effect of a gene is related to its evolutionary and functional properties. Subsequent analysis revealed that younger genes, especially those newly acquired in S. cerevisiae species, are more likely to be strongly strain-specific. Intriguingly, there seems to exist a ceiling of fitness effect size for strong strain-specific genes, and among them, the newly acquired genes are still evolving and have yet to reach this ceiling. Additionally, for a large proportion of protein complexes, the strain specificity profile is inconsistent among genes encoding the same complex. Taken together, these results offer a genome-wide map of intraspecies variation for fitness effect as a mutant phenotype and provide an updated insight on intraspecies phenotypic evolution.
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Affiliation(s)
- Yayu Wang
- MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China
| | - Bei Jiang
- MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China
| | - Yue Wu
- MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China
| | - Xionglei He
- MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China
| | - Li Liu
- MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China
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4
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Cory MB, Hostetler ZM, Kohli RM. Kinetic dissection of macromolecular complex formation with minimally perturbing fluorescent probes. Methods Enzymol 2022; 664:151-171. [PMID: 35331372 DOI: 10.1016/bs.mie.2022.01.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
The formation of macromolecular complexes containing multiple protein binding partners is at the core of many biochemical pathways. Studying the kinetics of complex formation can offer significant biological insights and complement static structural snapshots or approaches that reveal thermodynamic affinities. However, determining the kinetics of macromolecular complex formation can be difficult without significant manipulations to the system. Fluorescence anisotropy using a fluorophore-labeled constituent of the biologic complex offers potential advantages in obtaining time-resolved signals tracking complex assembly. However, an inherent challenge of traditional post-translational protein labeling is the orthogonality of labeling chemistry with regards to protein target and the potential disruption of complex formation. In this chapter, we will discuss the application of unnatural amino acid labeling as a means for generating a minimally perturbing reporter. We then describe the use of fluorescence anisotropy to define the kinetics of complex formation, using the key protein-protein-nucleic acid complex governing the bacterial DNA damage response-RecA nucleoprotein filaments binding to LexA-as a model system. We will also show how this assay can be expanded to ask questions about the kinetics of complex formation for unlabeled variants, thus assessing assembly kinetics in more native contexts and broadening its utility. We discuss the optimization process for our model system and offer guidelines for applying the same principles to other macromolecular systems.
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Affiliation(s)
- Michael B Cory
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States; Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Zachary M Hostetler
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States; Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Rahul M Kohli
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States; Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
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5
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Saejung C, Salasook P. Recycling of sugar industry wastewater for single-cell protein production with supplemental carotenoids. ENVIRONMENTAL TECHNOLOGY 2020; 41:59-70. [PMID: 29923780 DOI: 10.1080/09593330.2018.1491633] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/25/2018] [Accepted: 06/11/2018] [Indexed: 06/08/2023]
Abstract
The bioconversion of sugar-industry wastewater to value-added products is a prominent topic in biotechnology. This work cultured a carotenoid-producing photosynthetic bacterium, Rhodopseudomonas faecalis, in a photo-bioreactor containing different wastewater from wastewater treatment ponds of a Thai sugar company. The cultivated R. faecalis produced single cell protein (SCP) with supplemental carotenoids. The cultivation boosted the growth and dehydrogenase activity of R. faecalis from all wastewater sources, while significantly reducing the total sugar concentration. The cellular protein concentration and carotenoid production of R. faecalis was maximised in wastewater collected from anaerobic pond and secondary mechanically aerated pond, respectively. At the end of the cultivation, the chemical oxygen demand was reduced by 80% and the protein content in the dry biomass exceeded 50%, within the acceptable ranges of SCP production. The biomass contained all essential amino acids and the leucine and lysine proportions were above the SCP guideline values. This study reveals that sugar-industry wastewater can be recycled in SCP production with supplemental carotenoids. The SCP is a potential commercial product for the sugar industry.
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Affiliation(s)
- Chewapat Saejung
- Department of Microbiology, Faculty of Science, Khon Kaen University, Khon Kaen, Thailand
- Applied Taxonomic Research Center, Khon Kaen University, Khon Kaen, Thailand
| | - Pongsathorn Salasook
- Department of Microbiology, Faculty of Science, Khon Kaen University, Khon Kaen, Thailand
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6
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Patthawaro S, Saejung C. Production of single cell protein from manure as animal feed by using photosynthetic bacteria. Microbiologyopen 2019; 8:e913. [PMID: 31392846 PMCID: PMC6925167 DOI: 10.1002/mbo3.913] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2019] [Revised: 07/03/2019] [Accepted: 07/05/2019] [Indexed: 11/12/2022] Open
Abstract
To reduce the cost of protein feedstock for animal feed, the use of single cell protein (SCP) produced from waste of animal agriculture is an interesting choice. This study reveals that chicken manure was the best substrate for SCP production by submerged fermentation using photosynthetic bacteria compared to swine, cow, and buffalo manure. Regression analysis showed that the productions were found to be significantly influenced by chicken manure content, inoculum size, and cultivation time. Response surface methodology based on central composite design generated the optimal condition (15% chicken manure, 30% inoculum size and cultivation time for 14 days) at which biomass, protein, and carotenoid productions were increased by 92.3%, 21.6%, and 18.2%, respectively. The percentage of error between the predicted and actual values for biomass, protein, and carotenoid productions were 1.56%, 2.64%, and 2.09%, respectively, which indicates the precision of the model. To verify the quality of SCP, the bacterium was cultured in a photobioreactor to investigate amino acid composition, protein, and nucleic acid contents. The SCP yielded 62.7% protein with essential amino acids including lysine, methionine, threonine, phenylalanine, leucine, isoleucine, valine, histidine, and low nucleic acid content of 4.52%. This study suggests an alternative SCP production for animal feed as well as the strategy for animal waste management.
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Affiliation(s)
- Sirada Patthawaro
- Department of Microbiology, Faculty of Science, Khon Kaen University, Khon Kaen, Thailand
| | - Chewapat Saejung
- Department of Microbiology, Faculty of Science, Khon Kaen University, Khon Kaen, Thailand.,Research Center for Environmental and Hazardous Substance Management (EHSM), Khon Kaen University, Khon Kaen, Thailand.,Center of Excellence on Hazardous Substance Management (HSM), Bangkok, Thailand
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7
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Cong Q, Anishchenko I, Ovchinnikov S, Baker D. Protein interaction networks revealed by proteome coevolution. Science 2019; 365:185-189. [PMID: 31296772 PMCID: PMC6948103 DOI: 10.1126/science.aaw6718] [Citation(s) in RCA: 118] [Impact Index Per Article: 23.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2019] [Accepted: 06/07/2019] [Indexed: 01/19/2023]
Abstract
Residue-residue coevolution has been observed across a number of protein-protein interfaces, but the extent of residue coevolution between protein families on the whole-proteome scale has not been systematically studied. We investigate coevolution between 5.4 million pairs of proteins in Escherichia coli and between 3.9 millions pairs in Mycobacterium tuberculosis We find strong coevolution for binary complexes involved in metabolism and weaker coevolution for larger complexes playing roles in genetic information processing. We take advantage of this coevolution, in combination with structure modeling, to predict protein-protein interactions (PPIs) with an accuracy that benchmark studies suggest is considerably higher than that of proteome-wide two-hybrid and mass spectrometry screens. We identify hundreds of previously uncharacterized PPIs in E. coli and M. tuberculosis that both add components to known protein complexes and networks and establish the existence of new ones.
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Affiliation(s)
- Qian Cong
- Department of Biochemistry, University of Washington, Seattle, WA 98105, USA
- Institute for Protein Design, University of Washington, Seattle, WA 98105, USA
| | - Ivan Anishchenko
- Department of Biochemistry, University of Washington, Seattle, WA 98105, USA
- Institute for Protein Design, University of Washington, Seattle, WA 98105, USA
| | - Sergey Ovchinnikov
- John Harvard Distinguished Science Fellowship Program, Harvard University, Cambridge, MA 02138, USA
| | - David Baker
- Department of Biochemistry, University of Washington, Seattle, WA 98105, USA.
- Institute for Protein Design, University of Washington, Seattle, WA 98105, USA
- Howard Hughes Medical Institute, University of Washington, Seattle, WA 98105, USA
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8
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Bohm K, Porwollik S, Chu W, Dover JA, Gilcrease EB, Casjens SR, McClelland M, Parent KN. Genes affecting progression of bacteriophage P22 infection in Salmonella identified by transposon and single gene deletion screens. Mol Microbiol 2018; 108:288-305. [PMID: 29470858 PMCID: PMC5912970 DOI: 10.1111/mmi.13936] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/20/2018] [Indexed: 12/20/2022]
Abstract
Bacteriophages rely on their hosts for replication, and many host genes critically determine either viral progeny production or host success via phage resistance. A random insertion transposon library of 240,000 mutants in Salmonella enterica serovar Typhimurium was used to monitor effects of individual bacterial gene disruptions on bacteriophage P22 lytic infection. These experiments revealed candidate host genes that alter the timing of phage P22 propagation. Using a False Discovery Rate of < 0.1, mutations in 235 host genes either blocked or delayed progression of P22 lytic infection, including many genes for which this role was previously unknown. Mutations in 77 genes reduced the survival time of host DNA after infection, including mutations in genes for enterobacterial common antigen (ECA) synthesis and osmoregulated periplasmic glucan (OPG). We also screened over 2000 Salmonella single gene deletion mutants to identify genes that impacted either plaque formation or culture growth rates. The gene encoding the periplasmic membrane protein YajC was newly found to be essential for P22 infection. Targeted mutagenesis of yajC shows that an essentially full-length protein is required for function, and potassium efflux measurements demonstrated that YajC is critical for phage DNA ejection across the cytoplasmic membrane.
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Affiliation(s)
- Kaitlynne Bohm
- Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, Michigan 48824, USA
| | - Steffen Porwollik
- Department of Microbiology and Molecular Genetics, University of California, School of Medicine, Irvine, California 92697, USA
| | - Weiping Chu
- Department of Microbiology and Molecular Genetics, University of California, School of Medicine, Irvine, California 92697, USA
| | - John A Dover
- Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, Michigan 48824, USA
| | - Eddie B Gilcrease
- Division of Microbiology and Immunology, Department of Pathology, University of Utah School of Medicine, Salt Lake City, Utah 84112, USA
| | - Sherwood R Casjens
- Division of Microbiology and Immunology, Department of Pathology, University of Utah School of Medicine, Salt Lake City, Utah 84112, USA
| | - Michael McClelland
- Department of Microbiology and Molecular Genetics, University of California, School of Medicine, Irvine, California 92697, USA
| | - Kristin N Parent
- Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, Michigan 48824, USA
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9
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Wuchty S, Müller SA, Caufield JH, Häuser R, Aloy P, Kalkhof S, Uetz P. Proteome Data Improves Protein Function Prediction in the Interactome of Helicobacter pylori. Mol Cell Proteomics 2018; 17:961-973. [PMID: 29414760 DOI: 10.1074/mcp.ra117.000474] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2017] [Revised: 01/25/2018] [Indexed: 01/17/2023] Open
Abstract
Helicobacter pylori is a common pathogen that is estimated to infect half of the human population, causing several diseases such as duodenal ulcer. Despite one of the first pathogens to be sequenced, its proteome remains poorly characterized as about one-third of its proteins have no functional annotation. Here, we integrate and analyze known protein interactions with proteomic and genomic data from different sources. We find that proteins with similar abundances tend to interact. Such an observation is accompanied by a trend of interactions to appear between proteins of similar functions, although some show marked cross-talk to others. Protein function prediction with protein interactions is significantly improved when interactions from other bacteria are included in our network, allowing us to obtain putative functions of more than 300 poorly or previously uncharacterized proteins. Proteins that are critical for the topological controllability of the underlying network are significantly enriched with genes that are up-regulated in the spiral compared with the coccoid form of H. pylori Determining their evolutionary conservation, we present evidence that 80 protein complexes are identical in composition with their counterparts in Escherichia coli, while 85 are partially conserved and 120 complexes are completely absent. Furthermore, we determine network clusters that coincide with related functions, gene essentiality, genetic context, cellular localization, and gene expression in different cellular states.
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Affiliation(s)
- Stefan Wuchty
- From the ‡Dept. of Computer Science.,§Center for Computational Science.,¶Dept. of Biology.,‖Sylvester Comprehensive Cancer Center, Univ. of Miami, Miami, FL 33156
| | - Stefan A Müller
- **German Center for Neurodegenerative Diseases (DZNE), 81377 Munich, Germany
| | - J Harry Caufield
- ‡‡Center for the Study of Biological Complexity, Virginia Commonwealth University, Richmond, VI 23284
| | - Roman Häuser
- §§German Cancer Research Center, 69120 Heidelberg, Germany
| | - Patrick Aloy
- ¶¶Joint IRB-BSC-CRG Program in Computational Biology, Institute for Research in Biomedicine (IRB Barcelona) and the Barcelona Institute of Science and Technology. Barcelona, Catalonia, Spain.,‖‖Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Catalonia, Spain
| | - Stefan Kalkhof
- Department of Molecular Systems Biology, UFZ, Helmholtz-Centre for Environmental Research Leipzig, 04318 Leipzig, Germany.,Institute of Bioanalysis, University of Applied Sciences and Arts of Coburg, Friedrich-Streib-Str. 2, 96450 Coburg, Germany.,Fraunhofer Institute for Cell Therapy and Immunology, Department of Therapy Validation, 04103 Leipzig, Germany
| | - Peter Uetz
- ‡‡Center for the Study of Biological Complexity, Virginia Commonwealth University, Richmond, VI 23284
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10
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Global landscape of cell envelope protein complexes in Escherichia coli. Nat Biotechnol 2017; 36:103-112. [PMID: 29176613 DOI: 10.1038/nbt.4024] [Citation(s) in RCA: 81] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2017] [Accepted: 11/01/2017] [Indexed: 12/21/2022]
Abstract
Bacterial cell envelope protein (CEP) complexes mediate a range of processes, including membrane assembly, antibiotic resistance and metabolic coordination. However, only limited characterization of relevant macromolecules has been reported to date. Here we present a proteomic survey of 1,347 CEPs encompassing 90% inner- and outer-membrane and periplasmic proteins of Escherichia coli. After extraction with non-denaturing detergents, we affinity-purified 785 endogenously tagged CEPs and identified stably associated polypeptides by precision mass spectrometry. The resulting high-quality physical interaction network, comprising 77% of targeted CEPs, revealed many previously uncharacterized heteromeric complexes. We found that the secretion of autotransporters requires translocation and the assembly module TamB to nucleate proper folding from periplasm to cell surface through a cooperative mechanism involving the β-barrel assembly machinery. We also establish that an ABC transporter of unknown function, YadH, together with the Mla system preserves outer membrane lipid asymmetry. This E. coli CEP 'interactome' provides insights into the functional landscape governing CE systems essential to bacterial growth, metabolism and drug resistance.
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11
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Caufield JH, Wimble C, Shary S, Wuchty S, Uetz P. Bacterial protein meta-interactomes predict cross-species interactions and protein function. BMC Bioinformatics 2017; 18:171. [PMID: 28298180 PMCID: PMC5353844 DOI: 10.1186/s12859-017-1585-0] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2016] [Accepted: 03/04/2017] [Indexed: 11/24/2022] Open
Abstract
Background Protein-protein interactions (PPIs) can offer compelling evidence for protein function, especially when viewed in the context of proteome-wide interactomes. Bacteria have been popular subjects of interactome studies: more than six different bacterial species have been the subjects of comprehensive interactome studies while several more have had substantial segments of their proteomes screened for interactions. The protein interactomes of several bacterial species have been completed, including several from prominent human pathogens. The availability of interactome data has brought challenges, as these large data sets are difficult to compare across species, limiting their usefulness for broad studies of microbial genetics and evolution. Results In this study, we use more than 52,000 unique protein-protein interactions (PPIs) across 349 different bacterial species and strains to determine their conservation across data sets and taxonomic groups. When proteins are collapsed into orthologous groups (OGs) the resulting meta-interactome still includes more than 43,000 interactions, about 14,000 of which involve proteins of unknown function. While conserved interactions provide support for protein function in their respective species data, we found only 429 PPIs (~1% of the available data) conserved in two or more species, rendering any cross-species interactome comparison immediately useful. The meta-interactome serves as a model for predicting interactions, protein functions, and even full interactome sizes for species with limited to no experimentally observed PPI, including Bacillus subtilis and Salmonella enterica which are predicted to have up to 18,000 and 31,000 PPIs, respectively. Conclusions In the course of this work, we have assembled cross-species interactome comparisons that will allow interactomics researchers to anticipate the structures of yet-unexplored microbial interactomes and to focus on well-conserved yet uncharacterized interactors for further study. Such conserved interactions should provide evidence for important but yet-uncharacterized aspects of bacterial physiology and may provide targets for anti-microbial therapies. Electronic supplementary material The online version of this article (doi:10.1186/s12859-017-1585-0) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- J Harry Caufield
- Center for the Study of Biological Complexity, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Christopher Wimble
- Center for the Study of Biological Complexity, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Semarjit Shary
- Center for the Study of Biological Complexity, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Stefan Wuchty
- Department of Computer Science, University of Miami, Coral Gables, Florida, USA.,Center for Computational Science, University of Miami, Coral Gables, Florida, USA.,Sylvester Comprehensive Cancer Center, Miller School of Medicine, University of Miami, Miami, Florida, USA
| | - Peter Uetz
- Center for the Study of Biological Complexity, Virginia Commonwealth University, Richmond, Virginia, USA.
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12
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Folador EL, de Carvalho PVSD, Silva WM, Ferreira RS, Silva A, Gromiha M, Ghosh P, Barh D, Azevedo V, Röttger R. In silico identification of essential proteins in Corynebacterium pseudotuberculosis based on protein-protein interaction networks. BMC SYSTEMS BIOLOGY 2016; 10:103. [PMID: 27814699 PMCID: PMC5097352 DOI: 10.1186/s12918-016-0346-4] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/07/2016] [Accepted: 10/18/2016] [Indexed: 12/27/2022]
Abstract
Background Corynebacterium pseudotuberculosis (Cp) is a gram-positive bacterium that is classified into equi and ovis serovars. The serovar ovis is the etiological agent of caseous lymphadenitis, a chronic infection affecting sheep and goats, causing economic losses due to carcass condemnation and decreased production of meat, wool, and milk. Current diagnosis or treatment protocols are not fully effective and, thus, require further research of Cp pathogenesis. Results Here, we mapped known protein-protein interactions (PPI) from various species to nine Cp strains to reconstruct parts of the potential Cp interactome and to identify potentially essential proteins serving as putative drug targets. On average, we predict 16,669 interactions for each of the nine strains (with 15,495 interactions shared among all strains). An in silico sanity check suggests that the potential networks were not formed by spurious interactions but have a strong biological bias. With the inferred Cp networks we identify 181 essential proteins, among which 41 are non-host homologous. Conclusions The list of candidate interactions of the Cp strains lay the basis for developing novel hypotheses and designing according wet-lab studies. The non-host homologous essential proteins are attractive targets for therapeutic and diagnostic proposes. They allow for searching of small molecule inhibitors of binding interactions enabling modern drug discovery. Overall, the predicted Cp PPI networks form a valuable and versatile tool for researchers interested in Corynebacterium pseudotuberculosis. Electronic supplementary material The online version of this article (doi:10.1186/s12918-016-0346-4) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Edson Luiz Folador
- Department of General Biology, Instituto de Ciências Biológicas (ICB), Federal University of Minas Gerais (UFMG), Belo Horizonte, Brazil.,Institute of Biological Sciences, Federal University of Para, Belém, PA, Brazil.,Biotechnology Center (CBiotec), Federal University of Paraiba (UFPB), João Pessoa, Brazil
| | - Paulo Vinícius Sanches Daltro de Carvalho
- Department of General Biology, Instituto de Ciências Biológicas (ICB), Federal University of Minas Gerais (UFMG), Belo Horizonte, Brazil.,Department of Mathematics and Computer Science, University of Southern Denmark, Odense, Denmark
| | - Wanderson Marques Silva
- Department of General Biology, Instituto de Ciências Biológicas (ICB), Federal University of Minas Gerais (UFMG), Belo Horizonte, Brazil
| | - Rafaela Salgado Ferreira
- Department of Biochemistry and Immunology, Federal University of Minas Gerais (UFMG), Belo Horizonte, Brazil
| | - Artur Silva
- Institute of Biological Sciences, Federal University of Para, Belém, PA, Brazil
| | - Michael Gromiha
- Department of Biotechnology, Indian Institute of Technology (IIT) Madras, Tamilnadu, India
| | - Preetam Ghosh
- Department of Computer Science, Virginia Commonwealth University, Richmond, VA, USA
| | - Debmalya Barh
- Centre for Genomics and Applied Gene Technology, Institute of Integrative Omics and Applied Biotechnology (IIOAB), Nonakuri, Purba Medinipur, West Bengal, India
| | - Vasco Azevedo
- Department of General Biology, Instituto de Ciências Biológicas (ICB), Federal University of Minas Gerais (UFMG), Belo Horizonte, Brazil
| | - Richard Röttger
- Department of Mathematics and Computer Science, University of Southern Denmark, Odense, Denmark.
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Quantitative and Systems-Based Approaches for Deciphering Bacterial Membrane Interactome and Gene Function. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2015; 883:135-54. [PMID: 26621466 DOI: 10.1007/978-3-319-23603-2_8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
High-throughput genomic and proteomic methods provide a concise description of the molecular constituents of a cell, whereas systems biology strives to understand the way these components function as a whole. Recent developments, such as genome editing technologies and protein epitope-tagging coupled with high-sensitivity mass-spectrometry, allow systemic studies to be performed at an unprecedented scale. Available methods can be successfully applied to various goals, both expanding fundamental knowledge and solving applied problems. In this review, we discuss the present state and future of bacterial cell envelope interactomics, with a specific focus on host-pathogen interactions and drug target discovery. Both experimental and computational methods will be outlined together with examples of their practical implementation.
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