The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Unraveling Microbial Interactions in Food Fermentations: from Classical to Genomics Approaches
Open accessAbstract
Fermentation, the microbial degradation of organic compounds without net oxidation, is an important process in the global carbon cycle and is also exploited worldwide for the production and preservation of food. It is one of the oldest food-processing technologies known, with some records dating back to 6,000 b.c. (50). The link between food and microbiology was laid by Pasteur, who found that yeasts were responsible for alcoholic fermentation (106). Since that discovery, scientific and industrial interests in food microbiology started to grow and continue to increase today. The number of food products that rely on fermentation in one or more steps of their production is tremendous. They form an important constituent of the daily diet and rank among the most innovative product categories in the food industry. Most of the important microorganisms applied in the production of fermented foods have been studied for decades, yielding a wealth of information on their physiology and genetics in relation to product functionalities, such as the development of flavor, taste, and texture. The recent emergence of genomics has opened new avenues for the systematic analysis of microbial metabolism and the responses of microorganisms to their environment. Additionally, genomics has boosted research on important food microbes (22, 90, 93). Much of this research focuses on the performance of a single strain, including its interactions with the food matrix. However, food fermentations are typically carried out by mixed cultures consisting of multiple strains or species. Population dynamics play a crucial role in the performance of mixed-culture fermentations, and for many years, studies on mixed-culture food fermentations have focused on analyzing population dynamics using classical and molecular methods. Many of these studies are mainly descriptive, and relatively little is known about the mechanisms governing population dynamics in general and the molecular interactions that occur between the consortium members in particular. The availability of genome sequences for several species that are of industrial importance as well as technological advances in functional genomics enable new approaches to study food microbiology beyond the single species level and allow an integral analysis of the interactions and metabolic activity in mixed cultures. Here we review the current knowledge on important food fermentation processes, focusing on the bacterial interactions. In addition, we illustrate how genomics approaches may contribute to the elucidation of the interaction networks between microbes, including interactions with the food environment. This information may find application in the industry through rational optimization and increased control over mixed-culture fermentations.
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
Environmental genome shotgun sequencing of the sargasso sea
Venter, J. C., Remington, K., Heidelberg, J. F., Halpern, A. L., Rusch, D., Eisen, J. A., Wu, D., Paulsen, I., Nelson, K. E., Nelson, W., et al. (2004) · Science · doi:10.1126/science.1093857 · Cited by 4,376
The Involvement of Cell-to-Cell Signals in the Development of a Bacterial Biofilm
Davies, D. G., Parsek, M. R., Pearson, J. P., Iglewski, B. H., Costerton, J. W., & Greenberg, E. P. (1998) · Science · doi:10.1126/science.280.5361.295 · Cited by 3,396
Community structure and metabolism through reconstruction of microbial genomes from the environment
Tyson, G. W., Chapman, J., Hugenholtz, P., Allen, E. E., Ram, R. J., Richardson, P. M., Solovyev, V. V., Rubin, E. M., Rokhsar, D. S., & Banfield, J. F. (2004) · Nature · doi:10.1038/nature02340 · Cited by 2,417
Food fermentations: Role of microorganisms in food production and preservation
Caplice, E. (1999) · International Journal of Food Microbiology · doi:10.1016/s0168-1605(99)00082-3 · Cited by 1,052
Proteolytic systems of lactic acid bacteria.
Savijoki, K., Ingmer, H., & Varmanen, P. (2006) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-006-0427-1 · Cited by 717
Genomic and metabolic adaptations of Methanobrevibacter smithii to the human gut
Samuel, B. S., Hansen, E. E., Manchester, J. K., Coutinho, P. M., Henrissat, B., Fulton, R., Latreille, P., Kim, K., Wilson, R. K., & Gordon, J. I. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0704189104 · Cited by 549
Wisselink, H. W., Toirkens, M. J., del Rosario Franco Berriel, M., Winkler, A. A., van Dijken, J. P., Pronk, J. T., & van Maris, A. J. A. (2007) · Applied and Environmental Microbiology · doi:10.1128/aem.00177-07 · Cited by 209
Oligopeptides are the main source of nitrogen for Lactococcus lactis during growth in milk
Juillard, V, Le Bars, D., Kunji, E. R., Konings, W. N., Gripon, J. C., & Richard, J. (1995) · Applied and Environmental Microbiology · doi:10.1128/aem.61.8.3024-3030.1995 · Cited by 206
Smeianov, V. V., Wechter, P., Broadbent, J. R., Hughes, J. E., Rodríguez, B. T., Christensen, T. K., Ardö, Y., & Steele, J. L. (2007) · Applied and Environmental Microbiology · doi:10.1128/aem.00005-07 · Cited by 97
Cited by
Marco, M. L., Sanders, M. E., Gänzle, M., Arrieta, M. C., Cotter, P. D., De Vuyst, L., Hill, C., Holzapfel, W., Lebeer, S., Merenstein, D., et al. (2021) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-020-00390-5 · Cited by 937
Frey-Klett, P., Burlinson, P., Deveau, A., Barret, M., Tarkka, M., & Sarniguet, A. (2011) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.00020-11 · Cited by 913
Wolfe, B. E., Button, J. E., Santarelli, M., & Dutton, R. J. (2014) · Cell · doi:10.1016/j.cell.2014.05.041 · Cited by 648
Fermented Foods as Experimentally Tractable Microbial Ecosystems
Wolfe, B. E., & Dutton, R. J. (2015) · Cell · doi:10.1016/j.cell.2015.02.034 · Cited by 386
Microbe-Microbe Interactions in Mixed Culture Food Fermentations
Smid, E. J., & Lacroix, C. (2013) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2012.11.007 · Cited by 348
Metadata
- Authors
- Sieuwerts, S., de Bok, F. A. M., Hugenholtz, J., & van Hylckama Vlieg, J. E. T.
- Venue
- Applied and Environmental Microbiology
- Publisher
- American Society for Microbiology
- Published
- 2008-08-15
- Volume
- 74
- Issue
- 16
- Pages
- 4997-5007
- ISSN
- 0099-2240 (ISSN-L)
- 1098-5336
- OpenAlex
- W2118437437
- Cited by
- 337
- References
- 9
- FWCI
- 13.74
- 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: Unraveling Microbial Interactions in Food Fermentations: from Classical to Genomics Approaches. https://app.cochat.ai/papers/10.1128/aem.00113-08
- The paper
- Sieuwerts, S., de Bok, F. A. M., Hugenholtz, J., & van Hylckama Vlieg, J. E. T. (2008). Unraveling Microbial Interactions in Food Fermentations: from Classical to Genomics Approaches. Applied and Environmental Microbiology. https://doi.org/10.1128/aem.00113-08
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.