The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Whole-Genome Transcription Profiling Reveals Genes Up-Regulated by Growth on Fucose in the Human Gut Bacterium “Roseburia inulinivorans”
Abstract
“Roseburia inulinivorans” is an anaerobic polysaccharide-utilizing firmicute bacterium from the human colon that was identified as a producer of butyric acid during growth on glucose, starch, or inulin.R. inulinivorans A2-194 is also able to grow on the host-derived sugar fucose, following a lag period, producing propionate and propanol as additional fermentation products. A shotgun genomic microarray was constructed and used to investigate the switch in gene expression that is involved in changing from glucose to fucose utilization. This revealed a set of genes coding for fucose utilization, propanediol utilization, and the formation of propionate and propanol that are up-regulated during growth on fucose. These include homologues of genes that are implicated in polyhedral body formation in Salmonella enterica. Dehydration of the intermediate 1,2-propanediol involves an enzyme belonging to the new B 12-independent glycerol dehydratase family, in contrast to S. enterica, which relies on a B 12-dependent enzyme. A typical gram-positive agr-type quorum-sensing system was also up-regulated in R. inulinivorans during growth on fucose. Despite the lack of genome sequence information for this commensal bacterium, microarray analysis has provided a powerful tool for obtaining new information on its metabolic capabilities.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A Genomic View of the Human- Bacteroides thetaiotaomicron Symbiosis
Xu, J., Bjursell, M. K., Himrod, J., Deng, S., Carmichael, L. K., Chiang, H. C., Hooper, L. V., & Gordon, J. I. (2003) · Science · doi:10.1126/science.1080029 · Cited by 1,353
Walker, A. W., Duncan, S. H., McWilliam Leitch, E. C., Child, M. W., & Flint, H. J. (2005) · Applied and Environmental Microbiology · doi:10.1128/aem.71.7.3692-3700.2005 · Cited by 796
Self-citationHold, G. L., Schwiertz, A., Aminov, R. I., Blaut, M., & Flint, H. J. (2003) · Applied and Environmental Microbiology · doi:10.1128/aem.69.7.4320-4324.2003 · Cited by 350
Self-citation
Cited by
From Dietary Fiber to Host Physiology: Short-Chain Fatty Acids as Key Bacterial Metabolites
Koh, A., De Vadder, F., Kovatcheva-Datchary, P., & Bäckhed, F. (2016) · Cell · doi:10.1016/j.cell.2016.05.041 · Cited by 7,070
Formation of propionate and butyrate by the human colonic microbiota
Louis, P., & Flint, H. J. (2017) · Environmental Microbiology · doi:10.1111/1462-2920.13589 · Cited by 3,028
Self-citationGut microbiota functions: metabolism of nutrients and other food components
Rowland, I., Gibson, G., Heinken, A., Scott, K., Swann, J., Thiele, I., & Tuohy, K. (2018) · European Journal of Nutrition · doi:10.1007/s00394-017-1445-8 · Cited by 2,878
“Roseburia inulinivorans is a butyrate producer, but during growth on fucose, it is able to completely change its gene expression pattern, switching on a set of genes capable of utilizing fucose as an energy source, and producing propionate and propanol via a propanediol utilization pathway [22].”
BackgroundMicrobial degradation of complex carbohydrates in the gut
Flint, H. J., Scott, K. P., Duncan, S. H., Louis, P., & Forano, E. (2012) · Gut Microbes · doi:10.4161/gmic.19897 · Cited by 2,331
Self-citationLouis, P., & Flint, H. J. (2009) · FEMS Microbiology Letters · doi:10.1111/j.1574-6968.2009.01514.x · Cited by 2,179
Self-citationThe Controversial Role of Human Gut Lachnospiraceae
Vacca, M., Celano, G., Calabrese, F. M., Portincasa, P., Gobbetti, M., & De Angelis, M. (2020) · Microorganisms · doi:10.3390/microorganisms8040573 · Cited by 1,688
Short chain fatty acids in human gut and metabolic health
Blaak, E. E., Canfora, E. E., Theis, S., Frost, G., Groen, A. K., Mithieux, G., Nauta, A., Scott, K., Stahl, B., van Harsselaar, J., et al. (2020) · Beneficial Microbes · doi:10.3920/bm2020.0057 · Cited by 1,103
Self-citationLinks between diet, gut microbiota composition and gut metabolism
Flint, H. J., Duncan, S. H., Scott, K. P., & Louis, P. (2015) · Proceedings of the Nutrition Society · doi:10.1017/s0029665114001463 · Cited by 1,020
Self-citationNogal, A., Valdes, A. M., & Menni, C. (2021) · Gut Microbes · doi:10.1080/19490976.2021.1897212 · Cited by 917
Dietary fibre modulates the gut microbiota
Cronin, P., Joyce, S. A., O’Toole, P. W., & O’Connor, E. M. (2021) · Nutrients · doi:10.3390/nu13051655 · Cited by 658
Systemic short chain fatty acids limit antitumor effect of CTLA-4 blockade in hosts with cancer
Coutzac, C., Jouniaux, J.-M., Paci, A., Schmidt, J., Mallardo, D., Seck, A., Asvatourian, V., Cassard, L., Saulnier, P., Lacroix, L., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-16079-x · Cited by 513
Zeng, H., Umar, S., Rust, B., Lazarova, D., & Bordonaro, M. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20051214 · Cited by 480
Microbiota-gut-brain axis: Modulator of host metabolism and appetite
van de Wouw, M., Schellekens, H., Dinan, T. G., & Cryan, J. F. (2017) · The Journal of Nutrition · doi:10.3945/jn.116.240481 · Cited by 461
Microbial modulation of cardiovascular disease
Brown, J. M., & Hazen, S. L. (2018) · Nature Reviews Microbiology · doi:10.1038/nrmicro.2017.149 · Cited by 440
Lopez-Siles, M., Khan, T. M., Duncan, S. H., Harmsen, H. J. M., Garcia-Gil, L. J., & Flint, H. J. (2012) · Applied and Environmental Microbiology · doi:10.1128/aem.06858-11 · Cited by 433
Self-citationRole of the gut microbiota in type 2 diabetes and related diseases
Yang, G., Wei, J., Liu, P., Zhang, Q., Tian, Y., Hou, G., Meng, L., Xin, Y., & Jiang, X. (2021) · Metabolism · doi:10.1016/j.metabol.2021.154712 · Cited by 418
The Common Gut Microbe Eubacterium hallii also Contributes to Intestinal Propionate Formation
Engels, C., Ruscheweyh, H.-J., Beerenwinkel, N., Lacroix, C., & Schwab, C. (2016) · Frontiers in Microbiology · doi:10.3389/fmicb.2016.00713 · Cited by 372
Cultivable bacterial diversity from the human colon
Duncan, S. H., Louis, P., & Flint, H. J. (2007) · Letters in Applied Microbiology · doi:10.1111/j.1472-765x.2007.02129.x · Cited by 279
Borgo, F., Riva, A., Benetti, A., Casiraghi, M. C., Bertelli, S., Garbossa, S., Anselmetti, S., Scarone, S., Pontiroli, A. E., Morace, G., et al. (2017) · PLOS ONE · doi:10.1371/journal.pone.0179739 · Cited by 267
Reichardt, N., Vollmer, M., Holtrop, G., Farquharson, F. M., Wefers, D., Bunzel, M., Duncan, S. H., Drew, J. E., Williams, L. M., Milligan, G., et al. (2018) · The ISME Journal · doi:10.1038/ismej.2017.196 · Cited by 249
Self-citationDietary fibre and the gut microbiota
Scott, K. P., Duncan, S. H., & Flint, H. J. (2008) · Nutrition Bulletin · doi:10.1111/j.1467-3010.2008.00706.x · Cited by 237
Self-citationThe Role of Fatty Acid Metabolites in Vaginal Health and Disease: Application to Candidiasis
Baldewijns, S., Sillen, M., Palmans, I., Vandecruys, P., Van Dijck, P., & Demuyser, L. (2021) · Frontiers in Microbiology · doi:10.3389/fmicb.2021.705779 · Cited by 44
Metadata
- Authors
- Scott, K. P., Martin, J. C., Campbell, G., Mayer, C.-D., & Flint, H. J.
- Venue
- Journal of Bacteriology
- Publisher
- American Society for Microbiology
- Published
- 2006-06-15
- Volume
- 188
- Issue
- 12
- Pages
- 4340-4349
- ISSN
- 0021-9193 (ISSN-L)
- 1098-5530
- OpenAlex
- W2052547316
- Cited by
- 280
- References
- 3
- FWCI
- 2.33
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
