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Dynamics of metatranscription in the inflammatory bowel disease gut microbiome
Open accessAbstract
Inflammatory bowel disease (IBD) is a group of chronic diseases of the digestive tract that affects millions of people worldwide. Genetic, environmental and microbial factors have been implicated in the onset and exacerbation of IBD. However, the mechanisms associating gut microbial dysbioses and aberrant immune responses remain largely unknown. The integrative Human Microbiome Project seeks to close these gaps by examining the dynamics of microbiome functionality in disease by profiling the gut microbiomes of >100 individuals sampled over a 1-year period. Here, we present the first results based on 78 paired faecal metagenomes and metatranscriptomes, and 222 additional metagenomes from 59 patients with Crohn’s disease, 34 with ulcerative colitis and 24 non-IBD control patients. We demonstrate several cases in which measures of microbial gene expression in the inflamed gut can be informative relative to metagenomic profiles of functional potential. First, although many microbial organisms exhibited concordant DNA and RNA abundances, we also detected species-specific biases in transcriptional activity, revealing predominant transcription of pathways by individual microorganisms per host (for example, by Faecalibacterium prausnitzii). Thus, a loss of these organisms in disease may have more far-reaching consequences than suggested by their genomic abundances. Furthermore, we identified organisms that were metagenomically abundant but inactive or dormant in the gut with little or no expression (for example, Dialister invisus). Last, certain disease-specific microbial characteristics were more pronounced or only detectable at the transcript level, such as pathways that were predominantly expressed by different organisms in patients with IBD (for example, Bacteroides vulgatus and Alistipes putredinis). This provides potential insights into gut microbial pathway transcription that can vary over time, inducing phenotypical changes that are complementary to those linked to metagenomic abundances. The study’s results highlight the strength of analysing both the activity and the presence of gut microorganisms to provide insight into the role of the microbiome in IBD. Analysis of paired metagenomes and metatranscriptomes associated with patients with inflammatory bowel disease (IBD) and non-IBD controls over time provides some insights into microbial community variation and potential pathways influencing IBD symptoms.
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Cites
Trimmomatic: a flexible trimmer for Illumina sequence data
Bolger, A. M., Lohse, M., & Usadel, B. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu170 · Cited by 65,548
Fast gapped-read alignment with Bowtie 2
Langmead, B., & Salzberg, S. L. (2012) · Nature Methods · doi:10.1038/nmeth.1923 · Cited by 56,400
The SILVA ribosomal RNA gene database project: improved data processing and web-based tools
Quast, C., Pruesse, E., Yilmaz, P., Gerken, J., Schweer, T., Yarza, P., Peplies, J., & Glöckner, F. O. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks1219 · Cited by 33,055
Fast and sensitive protein alignment using DIAMOND
Buchfink, B., Xie, C., & Huson, D. H. (2015) · Nature Methods · doi:10.1038/nmeth.3176 · Cited by 14,201
Sokol, H., Pigneur, B., Watterlot, L., Lakhdari, O., Bermúdez-Humarán, L. G., Gratadoux, J.-J., Blugeon, S., Bridonneau, C., Furet, J.-P., Corthier, G., et al. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0804812105 · Cited by 4,413
Caspi, R., Billington, R., Ferrer, L., Foerster, H., Fulcher, C. A., Keseler, I. M., Kothari, A., Krummenacker, M., Latendresse, M., Mueller, L. A., et al. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkv1164 · Cited by 3,395
The Treatment-Naive Microbiome in New-Onset Crohn’s Disease
Gevers, D., Kugathasan, S., Denson, L. A., Vázquez-Baeza, Y., Van Treuren, W., Ren, B., Schwager, E., Knights, D., Song, S. J., Yassour, M., et al. (2014) · Cell Host & Microbe · doi:10.1016/j.chom.2014.02.005 · Cited by 3,220
Self-citationA SIMPLE INDEX OF CROHN'S-DISEASE ACTIVITY
Harvey, R. F., & Bradshaw, J. M. (1980) · The Lancet · doi:10.1016/s0140-6736(80)92767-1 · Cited by 2,959
Dysfunction of the intestinal microbiome in inflammatory bowel disease and treatment
Morgan, X. C., Tickle, T. L., Sokol, H., Gevers, D., Devaney, K. L., Ward, D. V., Reyes, J. A., Shah, S. A., LeLeiko, N., Snapper, S. B., et al. (2012) · Genome Biology · doi:10.1186/gb-2012-13-9-r79 · Cited by 2,713
Self-citationA framework for human microbiome research
The Human Microbiome Project Consortium (2012) · Nature · doi:10.1038/nature11209 · Cited by 2,650
Research works printed but not linked: 2
- Santos, M. F. et al. Lipopolysaccharide as an antigen target for the formulation of a universal vaccine against Escherichia coli O111 strains. Clin. Vaccine Immunol. 17, 1772–1780 (2010). · doi:10.1128/cvi.00232-10
- Aguirre-Ramirez, M., Medina, G., Gonzalez-Valdez, A., Grosso-Becerra, V. & Soberon-Chavez, G. The Pseudomonas aeruginosa rmlBDAC operon, encoding dTDP-l-rhamnose biosynthetic enzymes, is regulated by the quorum-sensing transcriptional regulator RhlR and the alternative sigma factor σS. Microbiology 158, 908–916 (2012). · doi:10.1099/mic.0.054726-0
Cited by
Multi-omics of the gut microbial ecosystem in inflammatory bowel diseases
Lloyd-Price, J., Arze, C., Ananthakrishnan, A. N., Schirmer, M., Avila-Pacheco, J., Poon, T. W., Andrews, E., Ajami, N. J., Bonham, K. S., Brislawn, C. J., et al. (2019) · Nature · doi:10.1038/s41586-019-1237-9 · Cited by 3,143
Self-citationMultivariable association discovery in population-scale meta-omics studies
Mallick, H., Rahnavard, A., McIver, L. J., Ma, S., Zhang, Y., Nguyen, L. H., Tickle, T. L., Weingart, G., Ren, B., Schwager, E. H., et al. (2021) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1009442 · Cited by 2,596
Self-citationGut microbiota-derived metabolites as key actors in inflammatory bowel disease
Lavelle, A., & Sokol, H. (2020) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-019-0258-z · Cited by 2,015
Wirbel, J., Pyl, P. T., Kartal, E., Zych, K., Kashani, A., Milanese, A., Fleck, J. S., Voigt, A. Y., Palleja, A., Ponnudurai, R., et al. (2019) · Nature Medicine · doi:10.1038/s41591-019-0406-6 · Cited by 1,373
Blanco-Míguez, A., Beghini, F., Cumbo, F., McIver, L. J., Thompson, K. N., Zolfo, M., Manghi, P., Dubois, L., Huang, K. D., Thomas, A. M., et al. (2023) · Nature Biotechnology · doi:10.1038/s41587-023-01688-w · Cited by 1,442
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Metadata
- Authors
- Schirmer, M., Franzosa, E. A., Lloyd-Price, J., McIver, L. J., Schwager, R., Poon, T. W., Ananthakrishnan, A. N., Andrews, E., Barron, G., Lake, K., Prasad, M., Sauk, J., Stevens, B., Wilson, R. G., Braun, J., Denson, L. A., Kugathasan, S., McGovern, D. P. B., Vlamakis, H., Xavier, R. J., & Huttenhower, C.
- Venue
- Nature Microbiology
- Published
- 2018-01-08
- Volume
- 3
- Issue
- 3
- Pages
- 337-346
- ISSN
- 2058-5276 (ISSN-L)
- OpenAlex
- W2776445964
- Cited by
- 573
- References
- 57
- FWCI
- 15.43
- Type
- journal article
- Language
- en
- Open access
- green
- Licence
- www.springernature.com/gp/researchers/text-and-data-mining (tdm)
- www.springernature.com/gp/researchers/text-and-data-mining (vor)
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- Schirmer, M., Franzosa, E. A., Lloyd-Price, J., McIver, L. J., Schwager, R., Poon, T. W., Ananthakrishnan, A. N., Andrews, E., Barron, G., Lake, K., Prasad, M., Sauk, J., Stevens, B., Wilson, R. G., Braun, J., Denson, L. A., Kugathasan, S., McGovern, D. P. B., Vlamakis, H., . . . Huttenhower, C. (2018). Dynamics of metatranscription in the inflammatory bowel disease gut microbiome. Nature Microbiology. https://doi.org/10.1038/s41564-017-0089-z
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