Discovery of bioactive microbial gene products in inflammatory bowel disease.
Journal
Nature
ISSN: 1476-4687
Titre abrégé: Nature
Pays: England
ID NLM: 0410462
Informations de publication
Date de publication:
06 2022
06 2022
Historique:
received:
16
10
2020
accepted:
15
03
2022
pubmed:
26
5
2022
medline:
25
6
2022
entrez:
25
5
2022
Statut:
ppublish
Résumé
Microbial communities and their associated bioactive compounds
Identifiants
pubmed: 35614211
doi: 10.1038/s41586-022-04648-7
pii: 10.1038/s41586-022-04648-7
pmc: PMC9913614
mid: NIHMS1866902
doi:
Substances chimiques
Bacterial Proteins
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
754-760Subventions
Organisme : NIDDK NIH HHS
ID : P30 DK043351
Pays : United States
Organisme : NCCIH NIH HHS
ID : R01 AT009708
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK127171
Pays : United States
Organisme : NIDDK NIH HHS
ID : R24 DK110499
Pays : United States
Informations de copyright
© 2022. The Author(s), under exclusive licence to Springer Nature Limited.
Références
Cohen, L. J. et al. Commensal bacteria make GPCR ligands that mimic human signalling molecules. Nature 549, 48–53 (2017).
pubmed: 28854168
pmcid: 5777231
doi: 10.1038/nature23874
Guo, C. J. et al. Discovery of reactive microbiota-derived metabolites that inhibit host proteases. Cell 168, 517–526 (2017).
pubmed: 28111075
pmcid: 5302092
doi: 10.1016/j.cell.2016.12.021
Bhattarai, Y. et al. Gut microbiota-produced tryptamine activates an epithelial G-protein-coupled receptor to increase colonic secretion. Cell Host Microbe 23, 775–785 (2018).
pubmed: 29902441
pmcid: 6055526
doi: 10.1016/j.chom.2018.05.004
Lloyd-Price, J. et al. Multi-omics of the gut microbial ecosystem in inflammatory bowel diseases. Nature 569, 655–662 (2019).
pubmed: 31142855
pmcid: 6650278
doi: 10.1038/s41586-019-1237-9
Galperin, M. Y. & Koonin, E. V. ‘Conserved hypothetical’ proteins: prioritization of targets for experimental study. Nucleic Acids Res. 32, 5452–5463 (2004).
pubmed: 15479782
pmcid: 524295
doi: 10.1093/nar/gkh885
Galperin, M. Y. & Koonin, E. V. From complete genome sequence to ‘complete’ understanding? Trends Biotechnol. 28, 398–406 (2010).
pubmed: 20647113
pmcid: 3065831
doi: 10.1016/j.tibtech.2010.05.006
Joice, R., Yasuda, K., Shafquat, A., Morgan, X. C. & Huttenhower, C. Determining microbial products and identifying molecular targets in the human microbiome. Cell Metab. 20, 731–741 (2014).
pubmed: 25440055
pmcid: 4254638
doi: 10.1016/j.cmet.2014.10.003
Buffie, C. G. et al. Precision microbiome reconstitution restores bile acid mediated resistance to Clostridium difficile. Nature 517, 205–208 (2015).
pubmed: 25337874
doi: 10.1038/nature13828
Zipperer, A. et al. Human commensals producing a novel antibiotic impair pathogen colonization. Nature 535, 511–516 (2016).
pubmed: 27466123
doi: 10.1038/nature18634
Morgan, X. C. et al. Dysfunction of the intestinal microbiome in inflammatory bowel disease and treatment. Genome Biol. 13, R79 (2012).
pubmed: 23013615
pmcid: 3506950
doi: 10.1186/gb-2012-13-9-r79
Suzek, B. E., Huang, H., McGarvey, P., Mazumder, R. & Wu, C. H. UniRef: comprehensive and non-redundant UniProt reference clusters. Bioinformatics 23, 1282–1288 (2007).
pubmed: 17379688
doi: 10.1093/bioinformatics/btm098
Ashburner, M. et al. Gene ontology: tool for the unification of biology. The Gene Ontology Consortium. Nat. Genet. 25, 25–29 (2000).
pubmed: 10802651
pmcid: 3037419
doi: 10.1038/75556
UniProt Consortium. UniProt: a hub for protein information. Nucleic Acids Res. 43, D204–D212 (2015).
doi: 10.1093/nar/gku989
Konstantinidis, K. T. & Tiedje, J. M. Towards a genome-based taxonomy for prokaryotes. J. Bacteriol. 187, 6258–6264 (2005).
pubmed: 16159757
pmcid: 1236649
doi: 10.1128/JB.187.18.6258-6264.2005
Parks, D. H. et al. A standardized bacterial taxonomy based on genome phylogeny substantially revises the tree of life. Nat. Biotechnol. 36, 996–1004 (2018).
pubmed: 30148503
doi: 10.1038/nbt.4229
Plaza Oñate, F. et al. MSPminer: abundance-based reconstitution of microbial pan-genomes from shotgun metagenomic data. Bioinformatics 35, 1544–1552 (2019).
pubmed: 30252023
doi: 10.1093/bioinformatics/bty830
Li, J. et al. An integrated catalog of reference genes in the human gut microbiome. Nat. Biotechnol. 32, 834–841 (2014).
pubmed: 24997786
doi: 10.1038/nbt.2942
Jandhyala, S. M. et al. Role of the normal gut microbiota. World J. Gastroenterol. 21, 8787–8803 (2015).
pubmed: 26269668
pmcid: 4528021
doi: 10.3748/wjg.v21.i29.8787
Zhang, R., Ou, H. Y. & Zhang, C. T. DEG: a database of essential genes. Nucleic Acids Res. 32, D271–D272 (2004).
pubmed: 14681410
pmcid: 308758
doi: 10.1093/nar/gkh024
Sokol, H. et al. Faecalibacterium prausnitzii is an anti-inflammatory commensal bacterium identified by gut microbiota analysis of Crohn disease patients. Proc. Natl Acad. Sci. USA 105, 16731–16736 (2008).
pubmed: 18936492
pmcid: 2575488
doi: 10.1073/pnas.0804812105
Lopez-Siles, M., Duncan, S. H., Garcia-Gil, L. J. & Martinez-Medina, M. Faecalibacterium prausnitzii: from microbiology to diagnostics and prognostics. ISME J. 11, 841–852 (2017).
pubmed: 28045459
pmcid: 5364359
doi: 10.1038/ismej.2016.176
Schirmer, M., Garner, A., Vlamakis, H. & Xavier, R. J. Microbial genes and pathways in inflammatory bowel disease. Nat. Rev. Microbiol. 17, 497–511 (2019).
pubmed: 31249397
pmcid: 6759048
doi: 10.1038/s41579-019-0213-6
Lewis, J. D. et al. Inflammation, antibiotics, and diet as environmental stressors of the gut microbiome in pediatric Crohn’s disease. Cell Host Microbe 18, 489–500 (2015).
pubmed: 26468751
pmcid: 4633303
doi: 10.1016/j.chom.2015.09.008
Franzosa, E. A. et al. Gut microbiome structure and metabolic activity in inflammatory bowel disease. Nature Microbiol. 4, 293–305 (2019).
doi: 10.1038/s41564-018-0306-4
Hall, A. B. et al. A novel Ruminococcus gnavus clade enriched in inflammatory bowel disease patients. Genome Med. 9, 103 (2017).
pubmed: 29183332
pmcid: 5704459
doi: 10.1186/s13073-017-0490-5
Hughes, E. R. et al. Microbial respiration and formate oxidation as metabolic signatures of inflammation-associated dysbiosis. Cell Host Microbe 21, 208–219 (2017).
pubmed: 28182951
pmcid: 5313043
doi: 10.1016/j.chom.2017.01.005
Högbom, M. & Ihalin, R. Functional and structural characteristics of bacterial proteins that bind host cytokines. Virulence 8, 1592–1601 (2017).
pubmed: 28783440
pmcid: 5810482
doi: 10.1080/21505594.2017.1363140
Wells, T. J., Tree, J. J., Ulett, G. C. & Schembri, M. A. Autotransporter proteins: novel targets at the bacterial cell surface. FEMS Microbiol. Lett. 274, 163–172 (2007).
pubmed: 17610513
doi: 10.1111/j.1574-6968.2007.00833.x
Pizarro-Cerdá, J. & Cossart, P. Bacterial adhesion and entry into host cells. Cell 124, 715–727 (2006).
pubmed: 16497583
doi: 10.1016/j.cell.2006.02.012
Palmela, C. et al. Adherent-invasive Escherichia coli in inflammatory bowel disease. Gut 67, 574–587 (2018).
pubmed: 29141957
doi: 10.1136/gutjnl-2017-314903
Xu, Q. et al. A Distinct type of pilus from the human microbiome. Cell 165, 690–703 (2016).
pubmed: 27062925
pmcid: 4842110
doi: 10.1016/j.cell.2016.03.016
Zhang, Y., Thompson, K. N., Huttenhower, C. & Franzosa, E. A. Statistical approaches for differential expression analysis in metatranscriptomics. Bioinformatics 37, i34–i41 (2021).
pubmed: 34252963
pmcid: 8275336
doi: 10.1093/bioinformatics/btab327
Starks, A. M., Froehlich, B. J., Jones, T. N. & Scott, J. R. Assembly of CS1 pili: the role of specific residues of the major pilin, CooA. J. Bacteriol. 188, 231–239 (2006).
pubmed: 16352839
pmcid: 1317577
doi: 10.1128/JB.188.1.231-239.2006
Galkin, V. E. et al. The structure of the CS1 pilus of enterotoxigenic Escherichia coli reveals structural polymorphism. J. Bacteriol. 195, 1360–1370 (2013).
pubmed: 23175654
pmcid: 3624524
doi: 10.1128/JB.01989-12
Vatanen, T. et al. Variation in microbiome LPS immunogenicity contributes to autoimmunity in humans. Cell 165, 842–853 (2016).
pubmed: 27133167
pmcid: 4950857
doi: 10.1016/j.cell.2016.04.007
Dalbey, R. E. & Kuhn, A. Protein traffic in Gram-negative bacteria—how exported and secreted proteins find their way. FEMS Microbiol. Rev. 36, 1023–1045 (2012).
pubmed: 22250915
doi: 10.1111/j.1574-6976.2012.00327.x
Costa, T. R. et al. Secretion systems in Gram-negative bacteria: structural and mechanistic insights. Nat. Rev. Microbiol. 13, 343–359 (2015).
pubmed: 25978706
doi: 10.1038/nrmicro3456
Shipman, J. A., Berleman, J. E. & Salyers, A. A. Characterization of four outer membrane proteins involved in binding starch to the cell surface of Bacteroides thetaiotaomicron. J. Bacteriol. 182, 5365–5372 (2000).
pubmed: 10986238
pmcid: 110978
doi: 10.1128/JB.182.19.5365-5372.2000
Berman, H. M. et al. The Protein Data Bank. Nucleic Acids Res. 28, 235–242 (2000).
pubmed: 10592235
pmcid: 102472
doi: 10.1093/nar/28.1.235
Kelley, L. A., Mezulis, S., Yates, C. M., Wass, M. N. & Sternberg, M. J. The Phyre2 web portal for protein modeling, prediction and analysis. Nat. Protoc. 10, 845–858 (2015).
pubmed: 25950237
pmcid: 5298202
doi: 10.1038/nprot.2015.053
Dong, R., Pan, S., Peng, Z., Zhang, Y. & Yang, J. mTM-align: a server for fast protein structure database search and multiple protein structure alignment. Nucleic Acids Res. 46, W380–w386 (2018).
pubmed: 29788129
pmcid: 6030909
doi: 10.1093/nar/gkx1013
Treuner-Lange, A. et al. PilY1 and minor pilins form a complex priming the type IVa pilus in Myxococcus xanthus. Nat. Commun. 11, 5054 (2020).
pubmed: 33028835
pmcid: 7541494
doi: 10.1038/s41467-020-18803-z
Co, J. Y. et al. Mucins trigger dispersal of Pseudomonas aeruginosa biofilms. NPJ Biofilms Microbiomes 4, 23 (2018).
pubmed: 30323945
pmcid: 6180003
doi: 10.1038/s41522-018-0067-0
Medema, M. H. et al. antiSMASH: rapid identification, annotation and analysis of secondary metabolite biosynthesis gene clusters in bacterial and fungal genome sequences. Nucleic Acids Res. 39, W339–W346 (2011).
pubmed: 21672958
pmcid: 3125804
doi: 10.1093/nar/gkr466
Haroon, M. F., Thompson, L. R., Parks, D. H., Hugenholtz, P. & Stingl, U. A catalogue of 136 microbial draft genomes from Red Sea metagenomes. Sci. Data 3, 160050 (2016).
pubmed: 27377622
pmcid: 4932879
doi: 10.1038/sdata.2016.50