The DOI matches its Crossref record; 135 of the 135 references it cites were found in a registry or an index.
Role of priority effects in the early-life assembly of the gut microbiota
Open accessAbstract
Understanding how microbial communities develop is essential for predicting and directing their future states. Ecological theory suggests that community development is often influenced by priority effects, in which the order and timing of species arrival determine how species affect one another. Priority effects can have long-lasting consequences, particularly if species arrival history varies during the early stage of community development, but their importance to the human gut microbiota and host health remains largely unknown. Here, we explore how priority effects might influence microbial communities in the gastrointestinal tract during early childhood and how the strength of priority effects can be estimated from the composition of the microbial species pool. We also discuss factors that alter microbial transmission, such as delivery mode, diet and parenting behaviours such as breastfeeding, which can influence the likelihood of priority effects. An improved knowledge of priority effects has the potential to inform microorganism-based therapies, such as prebiotics and probiotics, which are aimed at guiding the microbiota towards a healthy state.
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
“This decrease could potentially be attributed to the carbon source depletion promoted by Bifidobacterium specialised HMO utilisation in human milk-fed gut environment, which may inhibit pathobiont colonisation and growth39,40.”
From Impact of early life antibiotic and probiotic treatment on gut microbiome and resistome of very-low-birth-weight preterm infants. (2025) · cites this paper as [39]
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
Dermyshi, E., Wang, Y., Yan, C., Hong, W., Qiu, G., Gong, X., & Zhang, T. (2017) · Neonatology · doi:10.1159/000454668 · Cited by 24,586
An obesity-associated gut microbiome with increased capacity for energy harvest
Turnbaugh, P. J., Ley, R. E., Mahowald, M. A., Magrini, V., Mardis, E. R., & Gordon, J. I. (2006) · Nature · doi:10.1038/nature05414 · Cited by 12,444
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
Human gut microbiome viewed across age and geography
Yatsunenko, T., Rey, F. E., Manary, M. J., Trehan, I., Dominguez-Bello, M. G., Contreras, M., Magris, M., Hidalgo, G., Baldassano, R. N., Anokhin, A. P., et al. (2012) · Nature · doi:10.1038/nature11053 · Cited by 7,815
The Unified Neutral Theory of Biodiversity and Biogeography
Jetschke, G., & Hubbell, S. P. (2002) · Ecology · doi:10.2307/3071998 · Cited by 5,699
Dominguez-Bello, M. G., Costello, E. K., Contreras, M., Magris, M., Hidalgo, G., Fierer, N., & Knight, R. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1002601107 · Cited by 4,774
Intestinal microbiota metabolism of l-carnitine, a nutrient in red meat, promotes atherosclerosis
Koeth, R. A., Wang, Z., Levison, B. S., Buffa, J. A., Org, E., Sheehy, B. T., Britt, E. B., Fu, X., Wu, Y., Li, L., et al. (2013) · Nature Medicine · doi:10.1038/nm.3145 · Cited by 4,386
Gut Microbiota from Twins Discordant for Obesity Modulate Metabolism in Mice
Ridaura, V. K., Faith, J. J., Rey, F. E., Cheng, J., Duncan, A. E., Kau, A. L., Griffin, N. W., Lombard, V., Henrissat, B., Bain, J. R., et al. (2013) · Science · doi:10.1126/science.1241214 · Cited by 3,788
Dynamics and Stabilization of the Human Gut Microbiome during the First Year of Life
Bäckhed, F., Roswall, J., Peng, Y., Feng, Q., Jia, H., Kovatcheva-Datchary, P., Li, Y., Xia, Y., Xie, H., Zhong, H., et al. (2015) · Cell Host & Microbe · doi:10.1016/j.chom.2015.04.004 · Cited by 3,315
The Unified Neutral Theory of Biodiversity and Biogeography
Jetschke, G. (2002) · Ecology · doi:10.1890/0012-9658(2002)083[1771:tuntob]2.0.co;2 · Cited by 3,285
Cited by
Sorted by citations
Human gut microbiome: Hopes, threats and promises
Cani, P. D. (2018) · Gut · doi:10.1136/gutjnl-2018-316723 · Cited by 1,386
Inflammatory bowel diseases (IBD) and the microbiome-searching the crime scene for clues
Lee, M., & Chang, E. B. (2021) · Gastroenterology · doi:10.1053/j.gastro.2020.09.056 · Cited by 645
Initial soil microbiome composition and functioning predetermine future plant health
Wei, Z., Gu, Y., Friman, V., Kowalchuk, G. A., Xu, Y., Shen, Q., & Jousset, A. (2019) · Science Advances · doi:10.1126/sciadv.aaw0759 · Cited by 626
Priority effects in microbiome assembly
Debray, R., Herbert, R. A., Jaffe, A. L., Crits‐Christoph, A., Power, M. E., & Koskella, B. (2021) · Nature Reviews Microbiology · doi:10.1038/s41579-021-00604-w · Cited by 620
Developmental trajectory of the healthy human gut microbiota during the first 5 years of life
Roswall, J., Olsson, L. M., Kovatcheva‐Datchary, P., Nilsson, S., Tremaroli, V., Simon, M., Kiilerich, P., Akrami, R., Kramer, M. M., Uhlén, M., et al. (2021) · Cell Host & Microbe · doi:10.1016/j.chom.2021.02.021 · Cited by 487
Metadata
- Authors
- Sprockett, D., Fukami, T., & Relman, D. A.
- Affiliations
- Stanford Medicine (US)
- Stanford University (US)
- VA Palo Alto Health Care System (US)
- Corresponding author
- Relman, David A.
- Venue
- Nature Reviews Gastroenterology & Hepatology
- Published
- 2018-01-24
- Volume
- 15
- Issue
- 4
- Pages
- 197-205
- ISSN
- 1759-5045 (ISSN-L)
- 1759-5053
- PMC
- PMC6813786
- OpenAlex
- W2784989009
- Cited by
- 419
- References
- 134
- Citations by year
- 2026: 38 · 2025: 52 · 2024: 58 · 2023: 44 · 2022: 59 · 2021: 66 · 2020: 56 · 2019: 33 · 2018: 12
- FWCI
- 4.09
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Reviews Gastroenterology & Hepatology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of General Medical Sciences (T32GM007276)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Health Sciences › Nursing › Nutrition and Dietetics › Infant Nutrition and Health
- Physical Sciences › Environmental Science › Ecology › Microbial Community Ecology and Physiology
- Keywords
- priority effects, microbial transmission, mode of delivery, diet, breastfeeding, parenting behaviour, prebiotics, probiotics, early childhood
- MeSH terms
- Gastrointestinal Microbiome, Host Microbial Interactions, Child Development, Biological Evolution, Female, Humans, Infant, Infant, Newborn, Labor, Obstetric, Maternal-Fetal Exchange, Pregnancy, Selection, Genetic, Time Factors, Genetic Drift, Biodiversity
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