The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Discovering new indicators of fecal pollution
Open accessAbstract
Fecal pollution indicators are essential to identify and remediate contamination sources and protect public health. Historically, easily cultured facultative anaerobes such as fecal coliforms, Escherichia coli, or enterococci have been used, but these indicators generally provide no information as to their source. More recently, molecular methods have targeted fecal anaerobes, which are much more abundant in humans and other mammals and some strains appear to be associated with certain host sources. Next-generation sequencing and microbiome studies have created an unprecedented inventory of microbial communities associated with fecal sources, allowing reexamination of which taxonomic groups are best suited as informative indicators. The use of new computational methods, such as oligotyping coupled with well-established machine learning approaches, is providing new insights into patterns of host association. In this review we examine the basis for host-specificity and the rationale for using 16S rRNA gene targets for alternative indicators and highlight two taxonomic groups, Bacteroidales and Lachnospiraceae, which are rich in host-specific bacterial organisms. Finally, we discuss considerations for using alternative indicators for water quality assessments with a particular focus on detecting human sewage sources of contamination.
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
Cortes, C., & Vapnik, V. (1995) · Machine Learning · doi:10.1007/bf00994018 · Cited by 59,421
Diet rapidly and reproducibly alters the human gut microbiome
David, L. A., Maurice, C. F., Carmody, R. N., Gootenberg, D. B., Button, J. E., Wolfe, B. E., Ling, A. V., Devlin, A. S., Varma, Y., Fischbach, M. A., et al. (2014) · Nature · doi:10.1038/nature12820 · Cited by 10,100
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
De Filippo, C., Cavalieri, D., Di Paola, M., Ramazzotti, M., Poullet, J. B., Massart, S., Collini, S., Pieraccini, G., & Lionetti, P. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1005963107 · Cited by 5,579
Woese, C. R. (1987) · Microbiological Reviews · doi:10.1128/mr.51.2.221-271.1987 · Cited by 5,042
Evolution of mammals and their gut microbes
Ley, R. E., Hamady, M., Lozupone, C., Turnbaugh, P. J., Ramey, R. R., Bircher, J. S., Schlegel, M. L., Tucker, T. A., Schrenzel, M. D., Knight, R., et al. (2008) · Science · doi:10.1126/science.1155725 · Cited by 3,747
The Effect of Diet on the Human Gut Microbiome: A Metagenomic Analysis in Humanized Gnotobiotic Mice
Turnbaugh, P. J., Ridaura, V. K., Faith, J. J., Rey, F. E., Knight, R., & Gordon, J. I. (2009) · Science Translational Medicine · doi:10.1126/scitranslmed.3000322 · Cited by 3,058
Diet Drives Convergence in Gut Microbiome Functions Across Mammalian Phylogeny and Within Humans
Muegge, B. D., Kuczynski, J., Knights, D., Clemente, J. C., González, A., Fontana, L., Henrissat, B., Knight, R., & Gordon, J. I. (2011) · Science · doi:10.1126/science.1198719 · Cited by 1,988
Community structures of fecal bacteria in cattle from different animal feeding operations
Shanks, O. C., Kelty, C. A., Archibeque, S., Jenkins, M., Newton, R. J., McLellan, S. L., Huse, S. M., & Sogin, M. L. (2011) · Applied and Environmental Microbiology · doi:10.1128/aem.02988-10 · Cited by 359
Self-citation
Cited by
Exposure to Animal Feces and Human Health: A Systematic Review and Proposed Research Priorities
Penakalapati, G., Swarthout, J., Delahoy, M. J., McAliley, L., Wodnik, B., Levy, K., & Freeman, M. C. (2017) · Environmental Science & Technology · doi:10.1021/acs.est.7b02811 · Cited by 373
Tan, B., Ng, C., Nshimyimana, J. P., Loh, L. L., Gin, K. Y.-H., & Thompson, J. R. (2015) · Frontiers in Microbiology · doi:10.3389/fmicb.2015.01027 · Cited by 297
Microbial Indicators of Fecal Pollution: Recent Progress and Challenges in Assessing Water Quality
Holcomb, D. A., & Stewart, J. R. (2020) · Current Environmental Health Reports · doi:10.1007/s40572-020-00278-1 · Cited by 268
Antibiotic‐Resistant Bacteria and Resistance Genes in Isolates from Ghanaian Drinking Water Sources
Odonkor, S. T., Simpson, S. V., Morales Medina, W. R., & Fahrenfeld, N. L. (2022) · Journal of Environmental and Public Health · doi:10.1155/2022/2850165 · Cited by 27
Metadata
- Authors
- McLellan, S. L., & Eren, A. M.
- Venue
- Trends in Microbiology
- Publisher
- Elsevier BV
- Published
- 2014-12
- Volume
- 22
- Issue
- 12
- Pages
- 697-706
- ISSN
- 0966-842X (ISSN-L)
- OpenAlex
- W2001615321
- Cited by
- 175
- References
- 9
- FWCI
- 2.19
- Type
- journal article
- Language
- en
- Open access
- green
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Discovering new indicators of fecal pollution. https://app.cochat.ai/papers/10.1016/j.tim.2014.08.002
- The paper
- McLellan, S. L., & Eren, A. M. (2014). Discovering new indicators of fecal pollution. Trends in Microbiology. https://doi.org/10.1016/j.tim.2014.08.002
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.