The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.
Community-Wide Response of the Gut Microbiota to Enteropathogenic Citrobacter rodentium Infection Revealed by Deep Sequencing
Open accessAbstract
We investigated the spatial and temporal response of the murine gut microbiome to infection with Citrobacter rodentium , an attaching-and-effacing bacterium that provokes innate and adaptive immune responses, resulting in transient bacterial colitis. Previous studies have suggested that C. rodentium -induced inflammation is associated with an increased abundance of Enterobacteriaceae . We report here a deeper analysis of this model using DNA bar coding and 454 pyrosequencing to characterize 101,894 partial 16S rRNA gene sequences from 85 microbial samples from tissue-adhered and luminal bacteria of the cecum, proximal colon, and distal colon, which allowed us to identify previously unappreciated spatial and kinetic changes in multiple bacterial lineages. The deep sequencing data revealed that C. rodentium was most abundantly associated with the cecal mucosa at day 9 postinfection and then diminished in abundance, providing the first reported use of deep sequencing to track a pathogen in vivo through the course of infection. Notable changes were associated with both the mucosally adhered and luminal microbiota at both day 9 and day 14 postinfection. Alterations in abundance were seen for Proteobacteria, Deferribacteres, Clostridia , and others; however, changes in Enterobacteriaceae could be accounted for by the presence of C. rodentium itself, which is a member of this family. The Lactobacillus group decreased in abundance during infection, which may be important for pathogenesis because members of this lineage modulate the composition of the gut microbiota and are used as probiotics. Thus, deep sequencing provides previously inaccessible information on how Citrobacter infection and clearance reshapes the gut microbial community in space and time.
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Previous studies have shown a close association between inflammation and the presence or absence of these microbes, respectively,62–64”
From Using Corticosteroids to Reshape the Gut Microbiome: Implications for Inflammatory Bowel Diseases (2015) · cites this paper as [63]
Experimental — accuracy not yet measured
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
PHYLIP-Phylogeny inference package (Version 3.2)
Felsenstein, J. (1989) · Cladistics · Cited by 17,682
UniFrac: a New Phylogenetic Method for Comparing Microbial Communities
Lozupone, C., & Knight, R. (2005) · Applied and Environmental Microbiology · doi:10.1128/aem.71.12.8228-8235.2005 · Cited by 8,227
Church, G. M., & Gilbert, W. (1984) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.81.7.1991 · Cited by 8,213
Diversity of the Human Intestinal Microbial Flora
Eckburg, P. B., Bik, E. M., Bernstein, C. N., Purdom, E., Dethlefsen, L., Sargent, M., Gill, S. R., Nelson, K. E., & Relman, D. A. (2005) · Science · doi:10.1126/science.1110591 · Cited by 7,913
A core gut microbiome in obese and lean twins
Turnbaugh, P. J., Hamady, M., Yatsunenko, T., Cantarel, B. L., Duncan, A., Ley, R. E., Sogin, M. L., Jones, W. J., Roe, B. A., Affourtit, J. P., et al. (2009) · Nature · doi:10.1038/nature07540 · Cited by 7,823
Genome sequencing in microfabricated high-density picolitre reactors
Margulies, M., Egholm, M., Altman, W. E., Attiya, S., Bader, J. S., Bemben, L. A., Berka, J., Braverman, M. S., Chen, Y.-J., Chen, Z., et al. (2005) · Nature · doi:10.1038/nature03959 · Cited by 7,693
ARB: a software environment for sequence data
Ludwig, W. (2004) · Nucleic Acids Research · doi:10.1093/nar/gkh293 · Cited by 6,714
Obesity alters gut microbial ecology
Ley, R. E., Bäckhed, F., Turnbaugh, P., Lozupone, C. A., Knight, R. D., & Gordon, J. I. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0504978102 · Cited by 6,176
Prokaryotes: The unseen majority
Whitman, W. B., Coleman, D. C., & Wiebe, W. J. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.12.6578 · Cited by 4,871 · cited 2×
“The density of bacterial cells in the colon has been estimated at 1011 to 1012 per ml, which make the colon one of the most densely populated microbial habitats known on Earth (22, 42).”
BackgroundMetagenomic Analysis of the Human Distal Gut Microbiome
Gill, S. R., Pop, M., DeBoy, R. T., Eckburg, P. B., Turnbaugh, P. J., Samuel, B. S., Gordon, J. I., Relman, D. A., Fraser-Liggett, C. M., & Nelson, K. E. (2006) · Science · doi:10.1126/science.1124234 · Cited by 4,699
Cited by
Sorted by citations
Items 101–143 of 143
Zhao, M., Liu, H., Liu, M., Yue, Z., Li, C., Liu, L., & Li, F. (2024) · Microbiological Research · doi:10.1016/j.micres.2024.127705 · Cited by 12
Liu, F., Smith, A. D., Wang, T. T. Y., Pham, Q., Cheung, L., Yang, H., & Li, R. W. (2022) · Food & Function · doi:10.1039/d2fo02873e · Cited by 13
The Role of the Microbiome in the Relationship of Asthma and Affective Disorders
Trueba, A. F., Ritz, T., & Trueba, G. A. (2016) · Advances in experimental medicine and biology · doi:10.1007/978-3-319-20215-0_13 · Cited by 13
Zandani, G., Anavi, S., Assa-Glazer, T., Gorelick, J., Nyska, A., Sela, N., Bernstein, N., & Madar, Z. (2022) · Evidence-based Complementary and Alternative Medicine · doi:10.1155/2022/7964018 · Cited by 15
Longitudinal Microbiome Data Analysis
Gerber, G. K. (2014) · Elsevier eBooks · doi:10.1016/b978-0-12-410472-3.00007-5 · Cited by 11
Unveiling the Important Role of Gut Microbiota and Diet in Multiple Sclerosis
Džidić-Krivić, A., Begagić, E., Hadžić, S., Bećirović, A., Bečirović, E., Hibić, H., Lihić, L. T., Vukas, S. K., Bečulić, H., Kasapović, T., et al. (2025) · Brain Sciences · doi:10.3390/brainsci15030253 · Cited by 15
Model of Host-Pathogen Interaction Dynamics Links In Vivo Optical Imaging and Immune Responses
Ale, A. B. F., Crepin, V. F., Collins, J. W., Constantinou, N., Habibzay, M., Babtie, A. C., Frankel, G. M., & Stumpf, M. P. H. (2016) · Infection and Immunity · doi:10.1128/iai.00606-16 · Cited by 10
Intestinal Flora Imbalance Induced by Antibiotic Use in Rats
Tong, G., Qian, H., Li, D., Li, J., Chen, J., Li, X., & Tan, Z. (2024) · Journal of Inflammation Research · doi:10.2147/jir.s447098 · Cited by 9
Feng, Y., Zhao, Q., Zhao, Y., Ma, C., Tian, M., Hu, X., Chen, F., & Li, D. (2025) · Journal of Nanobiotechnology · doi:10.1186/s12951-025-03504-w · Cited by 9
Wang, T., Li, L., Li, S., Zhao, H., Qu, J., Xia, Y., & Li, Y. (2021) · PeerJ · doi:10.7717/peerj.11585 · Cited by 9
Oliveira, I. C. C. S., Marinsek, G. P., Correia, L. V. B., da Silva, R. C. B., Castro, Í. B., & Mari, R. D. B. (2024) · Autonomic Neuroscience · doi:10.1016/j.autneu.2024.103176 · Cited by 8
Varankovich, N. V., Grigor'yan, A. A., Brown, K., Inglis, G. D., Uwiera, R. R. E., Nickerson, M. T., & Korber, D. R. (2018) · Canadian Journal of Microbiology · doi:10.1139/cjm-2018-0166 · Cited by 7
Lee, E., Lee, G.-Y., Hossain, M. A., Awji, E. G., & Park, S. (2024) · Scientific Reports · doi:10.1038/s41598-024-69566-2 · Cited by 7
The Human Microbiome and Host–Pathogen Interactions
Pallen, M. J. (2010) · Springer eBooks · doi:10.1007/978-1-4419-7089-3_3 · Cited by 6
Gu, Y., Wang, Y., Qu, G. L., Pen, Y., Chen, Y., Zhu, X., Li, Y., Wang, Y., Fang, F., Zhang, S., et al. (2025) · Journal of Pharmaceutical and Biomedical Analysis · doi:10.1016/j.jpba.2025.117166 · Cited by 5
Zhang, C., Virk, A. K., KHAN, I. A., & Qin, H. (2020) · Springer eBooks · doi:10.1007/978-981-15-4759-1_2 · Cited by 5
Anavi, S., Zandani, G., Tsybina-Shimshilashvili, N., Hovav, R. H., Sela, N., Nyska, A., & Madar, Z. (2022) · Frontiers in Nutrition · doi:10.3389/fnut.2022.823756 · Cited by 5
Li, J., Feng, X., Jing, Y., Qian, H., Ji, Y. S., Hao, Y., & Zhai, Z. (2025) · Food & Function · doi:10.1039/d5fo02302e · Cited by 4
Kelly, L. A., Yost, C. K., & Cooke, S. J. (2024) · Journal of Fish Biology · doi:10.1111/jfb.15650 · Cited by 3
Mühlen, S., Heroven, A. K., Elxnat, B., Kahl, S., Pieper, D. H., & Dersch, P. (2024) · Antimicrobial Agents and Chemotherapy · doi:10.1128/aac.00057-24 · Cited by 3
Alsudani, A. A. K. (2018) · Nottingham Trent University's Institutional Repository (Nottingham Trent Repository) · Cited by 2
The Gastrointestinal Tract and Its Microflora
Aimutis, W. R., & Polzin, K. (2010) · Nondigestible Carbohydrates and Digestive Health · doi:10.1002/9780470958186.ch2 · Cited by 1
Biswas, P., Mishra, V., Sanchez‐Garrido, J., & Frankel, G. M. (2026) · Cellular and Molecular Gastroenterology and Hepatology · doi:10.1016/j.jcmgh.2026.101826 · Cited by 1
Dynamics of Microeukaryotes and Archaea in the Mammalian Gut Microbiome
Dollive, S. (2013) · Scholarly Commons (University of Pennsylvania) · Cited by 1
The gut microbiota-independent virulence of noninvasive bacterial pathogen Citrobacter rodentium
Liu, Y., Xu, D., Guo, S., Wang, S., Ding, H., Siu, C., & Wan, F. (2024) · PLoS Pathogens · doi:10.1371/journal.ppat.1012758 · Cited by 1
Dheer, R. (2011) · Cited by 1
Jiminez, J. A. (2016) · ERA: Education and Research Archive (University of Alberta) · doi:10.7939/r3610vx6d · Cited by 1
The Gut Microbiome and its Relationship to Migratory Behaviour and Fate in Wild Fishes
Kelly, L. S. (2023) · doi:10.22215/etd/2023-15619 · Cited by 1
Enteric infection priming confers IL-17A–dependent protection from chemically-induced ColitisPreprint
Mishra, V., Berkachy, R., Biswas, P., & Frankel, G. M. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.05.03.652030 · Cited by 1
Alterations in the Intestinal Microbiota Can be Detected by and Influence Specific Brain Regions
Collins, J. (2011) · MacSphere (McMaster University) · doi:10.71548/20758
Engineering the Human Genome: Reflections on the Beginning
Bushman, F. D. (2014) · Human Gene Therapy · doi:10.1089/hum.2014.2524 · Cited by 1
Self-citationTHE EFFECTS OF COOKED COMMON BEANS ON DSS-INDUCED COLITIS IN MICE
Zhang, P. C. (2012) · The Atrium (University of Guelph)
Varankovich, N. V. (2017) · University Library - University of Saskatchewan (University of Saskatchewan)
Human Being as a “Superorganism”; Genetic Control of Microbiome
Gündoğdu, A. (2016) · Türk Mikrobiyoloji Cemiyeti Dergisi · doi:10.5222/tmcd.2016.147 · Cited by 1
Design of PCR primers for the detection of waterborne bacteria
Gardès, J., & Christen, R. (2012) · HAL
Villanueva, E. M. G. D. P. (2018) · RiuNet (Universitat Politècnica de València) · doi:10.4995/thesis/10251/114770
Role of Gut Microbiome on Metabolic Disorders
Oshim, I. O., Agbakoba, N. R., Urama, E. U., Odeyemi, O., Olise, N. A., & John, G. U. (2020) · Journal of Advances in Medical and Pharmaceutical Sciences · doi:10.9734/jamps/2020/v22i530171
Intestinal flora imbalance induced by antibiotic use in ratsPreprint
Tong, G., Qian, H., Li, D., Li, J., Chen, J., & Li, X. (2020) · doi:10.21203/rs.3.rs-25711/v1
Additional file 2 of Host habitat is the major determinant of the gut microbiome of fish
Kim, P. S., Shin, N.-R., Lee, J.-B., Kim, M.-S., Whon, T. W., Hyun, D.-W., Yun, J.-H., Jung, M.-J., Kim, J. Y., & Bae, J.-W. (2021) · Figshare · doi:10.6084/m9.figshare.15087535
Metadata
- Authors
- Hoffmann, C., Hill, D. A., Minkah, N., Kirn, T., Troy, A., Artis, D., & Bushman, F.
- Affiliations
- University of Pennsylvania (US)
- Corresponding author
- Artis, David
- Bushman, Frederic
- Venue
- Infection and Immunity
- Publisher
- American Society for Microbiology
- Published
- 2009-10
- Volume
- 77
- Issue
- 10
- Pages
- 4668-4678
- ISSN
- 0019-9567 (ISSN-L)
- 1098-5522
- PMC
- PMC2747949
- OpenAlex
- W2096566958
- Cited by
- 142
- References
- 47
- Citations by year
- 2026: 1 · 2025: 5 · 2024: 9 · 2023: 1 · 2022: 5 · 2021: 8 · 2020: 5 · 2019: 9 · 2018: 8 · 2017: 11 · 2016: 12 · 2015: 10 · 2014: 12 · 2013: 5 · 2012: 17
- FWCI
- 5.50
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Infection and Immunity (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Pennsylvania Department of Health
- University of Pennsylvania
- Nepal Academy of Science and Technology
- National Institutes of Health
- National Institute of Allergy and Infectious Diseases (R01AI095466, AI074878, R01AI074878, T32AI060516, R01AI061570, AI 61570)
- National Institute of Diabetes and Digestive and Kidney Diseases (DK-50306, P30DK050306)
- National Center for Research Resources (S10RR024525)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Life Sciences › Immunology and Microbiology › Microbiology › Escherichia coli research studies
- Health Sciences › Dentistry › Periodontics › Oral microbiology and periodontitis research
- Keywords
- Citrobacter rodentium, gut microbiota, bacterial colitis, Enterobacteriaceae, cecal mucosa, luminal microbiota, Lactobacillus, Proteobacteria, Deferribacteres, Clostridia, host-microbe interactions, mouse model
- MeSH terms
- Animals, Bacteria, Cecum, Colitis, Colon, DNA, Bacterial, DNA, Ribosomal, Enterobacteriaceae Infections, Female, Male, Mice, Inbred C57BL, Molecular Sequence Data, Phylogeny, RNA, Ribosomal, 16S, Cluster Analysis, Sequence Analysis, DNA, Citrobacter rodentium, Biodiversity, Mice
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