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Structure classification of the proteins from Salmonella enterica pangenome revealed novel potential pathogenicity islands
Open accessPreprint — published as 10.1038/s41598-024-60991-x
Abstract
Salmonella enterica is a pathogenic bacterium known for causing severe typhoid fever in humans, making it important to study due to its potential health risks and significant impact on public health. This study provides evolutionary classification of proteins from Salmonella enterica pangenome. We classified 17,238 domains from 13,147 proteins from 79,758 Salmonella enterica strains and studied in detail domains of 272 proteins from fourteen characterized Salmonella pathogenicity islands (SPIs). Among SPIs-related proteins, 90 proteins function in the secretion machinery. 41% domains of SPI proteins have no previous sequence annotation. By comparing clinical and environmental isolates, we identified 3682 proteins that are overrepresented in clinical group that we consider as potentially pathogenic. 69 of them overlap with SPI proteins. Among domains of potentially pathogenic proteins only 50% domains were annotated by sequence methods previously. Moreover, 36% (1330 out of 3682) of potentially pathogenic proteins cannot be classified into Evolutionary Classification of Protein Domains database (ECOD). Among classified domains of potentially pathogenic proteins the most populated homology groups include helix-turn-helix (HTH), Immunoglobulin-related, and P-loop domains-related. Functional analysis revealed overrepresentation of these protein in biological processes related to viral entry into host cell, antibiotic biosynthesis, DNA metabolism and conformation change, and underrepresentation in translational processes. Analysis of the potentially pathogenic proteins indicates that they form 119 clusters (islands) within the Salmonella genome, suggesting their potential contribution to the bacterium’s virulence. Overall, our analysis revealed that identified potentially pathogenic proteins are poorly studied. ECOD hierarchy of classified Salmonella enterica domains is available online: http://prodata.swmed.edu/ecod/index_salm.php Author Summary: Salmonella enterica is a dangerous bacterium known for causing severe typhoid fever in humans, posing significant health risks. Our study focuses on understanding the proteins of this bacterium’s genetic composition, unraveling their evolutionary classification. Analyzing a vast collection of strains, we identified and classified over 17,000 protein domains, with special focus on 272 proteins within Salmonella pathogenicity islands (SPIs). By comparing strains from clinical and environmental sources, we pinpointed 3,682 proteins overrepresented in clinical samples, signifying potential pathogenicity. Surprisingly, half of these proteins’ domains were not identified previously using sequence-based approaches. Our analysis identified these proteins forming 119 clusters within the Salmonella genome, suggesting their involvement in its virulence. Our study underscores the insufficient understanding of these potentially pathogenic proteins, highlighting the need for further investigation into their roles and implications in Salmonella -related illnesses.
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Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764
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Research works printed but not linked: 60
- 10.1099/ijs.0.63580-0 · DOI
- 10.1016/j.fm.2018.10.009 · DOI
- 10.1128/AEM.00591-19 · DOI
- 10.3389/fmicb.2014.00391 · DOI
- 10.1128/IAI.00490-17 · DOI
- 10.1016/j.ijfoodmicro.2010.01.021 · DOI · Paper page
- 10.1016/S0140-6736(13)62708-7 · DOI
- 10.1016/j.adcanc.2022.100032 · DOI
- 10.1038/nrmicro3456 · DOI · Paper page
- 10.1111/j.1574-6976.2008.00136.x · DOI
- 10.1093/bioinformatics/btl369 · DOI
- 10.1371/journal.pcbi.1003926 · DOI · Paper page
- 10.1186/s12860-019-0204-5 · DOI
- 10.1002/pro.4548 · DOI
- 10.1371/journal.pcbi.1007569 · DOI
- 10.1016/j.jmb.2020.166788 · DOI
- 10.1128/JB.00434-15 · DOI
- 10.1016/j.jmb.2019.04.011 · DOI
- 10.1016/j.ejcb.2018.06.003 · DOI · Paper page
- 10.1093/nar/28.1.235 · DOI · Paper page
- 10.1186/1471-2105-10-421 · DOI · Paper page
- 10.1093/nar/gkg210 · DOI
- 10.1016/S1286-4579(01)01411-3 · DOI
- 10.3389/fcimb.2019.00270 · DOI
- 10.1038/s41467-021-21143-1 · DOI
- 10.1126/science.1201476 · DOI
- 10.1038/ncomms8125 · DOI
- 10.1111/j.1365-2958.2010.07171.x · DOI
- 10.1186/1471-2164-10-354 · DOI
- 10.1093/nar/gkaa913 · DOI · Paper page
- 10.1002/cpbi.108 · DOI · Paper page
- 10.1038/s41587-023-01773-0 · DOI · Paper page
- 10.1002/anie.202011211 · DOI
- 10.1093/NAR/GKAB1107 · DOI
- 10.1093/nar/gkac993 · DOI
- 10.1093/nar/gkt616 · DOI
- 10.1038/ncomms5917 · DOI
- 10.1107/S1744309113012220 · DOI
- 10.1073/pnas.97.3.1258 · DOI
- 10.1021/bi101741v · DOI
- 10.1016/S0969-2126(98)00120-8 · DOI
- 10.1093/nar/gkab1061 · DOI · Paper page
- 10.1038/nmeth.3176 · DOI · Paper page
- 10.1186/s12859-019-3019-7 · DOI · Paper page
- 10.1073/pnas.2214069120 · DOI
- 10.1006/jmbi.1993.1489 · DOI · Paper page
- 10.1002/bip.360221211 · DOI · Paper page
- 10.1128/JB.185.12.3624-3635.2003 · DOI
- 10.1111/j.1462-5822.2007.00919.x · DOI
- 10.1046/j.1365-2958.2002.02820.x · DOI
- 10.1128/JB.185.17.5055-5065.2003 · DOI
- 10.1186/s40659-017-0109-8 · DOI
- 10.1099/mic.0.000319 · DOI
- 10.1128/JB.187.7.2469-2482.2005 · DOI
- 10.1093/nar/gki297 · DOI
- 10.1128/IAI.00067-13 · DOI
- 10.1099/mic.0.28126-0 · DOI
- 10.1038/75556 · DOI · Paper page
- 10.1093/nar/gkac1052 · DOI · Paper page
- 10.4135/9781412985130 · DOI
Metadata
- Authors
- Medvedev, K. E., Zhang, J., Schaeffer, R. D., Kinch, L. N., Cong, Q., & Grishin, N. V.
- Affiliations
- The University of Texas Southwestern Medical Center (US)
- Howard Hughes Medical Institute (US)
- Corresponding author
- Medvedev, Kirill E.
- Venue
- Scientific Reports
- Publisher
- openRxiv
- Published
- 2024-01-31
- Volume
- 14
- Issue
- 1
- Pages
- 12260-12260
- ISSN
- 2045-2322 (ISSN-L)
- PMC
- PMC11133325
- OpenAlex
- W4399069394
- Cited by
- 11
- References
- 1
- Citations by year
- 2026: 5 · 2025: 4 · 2024: 2
- FWCI
- 2.35
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Scientific Reports (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Science Foundation (GM127390, 2224128)
- Welch Foundation (I‐1505, I-2095-20220331)
- Southwestern Medical Foundation
- National Institutes of Health
- National Institute of General Medical Sciences (GM127390, R35GM127390, GM147367, R01GM147367)
- Topics
- Life Sciences › Agricultural and Biological Sciences › Food Science › Salmonella and Campylobacter epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Bacterial Genetics and Biotechnology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Keywords
- Salmonella enterica, pan-genome, pathogenicity islands, protein domain classification, ECOD, virulence factors, helix-turn-helix domain, typhoid fever
- MeSH terms
- Protein Domains, Bacterial Proteins, Humans, Genome, Bacterial, Salmonella enterica, Genomic Islands
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