The DOI matches its Crossref record; 73 of the 73 references it cites were found in a registry or an index.
Metabolic cooperation and spatiotemporal niche partitioning in a kefir microbial community
Open accessAbstract
Microbial communities often undergo intricate compositional changes yet also maintain stable coexistence of diverse species. The mechanisms underlying long-term coexistence remain unclear as system-wide studies have been largely limited to engineered communities, ex situ adapted cultures or synthetic assemblies. Here, we show how kefir, a natural milk-fermenting community of prokaryotes (predominantly lactic and acetic acid bacteria) and yeasts (family Saccharomycetaceae), realizes stable coexistence through spatiotemporal orchestration of species and metabolite dynamics. During milk fermentation, kefir grains (a polysaccharide matrix synthesized by kefir microorganisms) grow in mass but remain unchanged in composition. In contrast, the milk is colonized in a sequential manner in which early members open the niche for the followers by making available metabolites such as amino acids and lactate. Through metabolomics, transcriptomics and large-scale mapping of inter-species interactions, we show how microorganisms poorly suited for milk survive in-and even dominate-the community, through metabolic cooperation and uneven partitioning between grain and milk. Overall, our findings reveal how inter-species interactions partitioned in space and time lead to stable coexistence.
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 cited source says what the claim attributes to it.
In the citing paper
“L. kefiranofaciens and Lentilactobacillus kefiri 93,94 co-occurred in milk kefir,”
From Unexplored microbial diversity from 2,500 food metagenomes and links with the human microbiome. (2024) · cites this paper as [93]
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
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
Love, M. I., Huber, W., & Anders, S. (2014) · Genome Biology · doi:10.1186/s13059-014-0550-8 · Cited by 95,106
DADA2: High–resolution sample inference from Illumina amplicon data
Callahan, B. J., McMurdie, P. J., Rosen, M. J., Han, A. W., Johnson, A. J. A., & Holmes, S. P. (2016) · Nature Methods · doi:10.1038/nmeth.3869 · Cited by 35,698
Cutadapt removes adapter sequences from high-throughput sequencing reads
Martin, M. (2011) · EMBnet.journal · doi:10.14806/ej.17.1.200 · Cited by 33,889
Prokka: rapid prokaryotic genome annotation
Seemann, T. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu153 · Cited by 18,937
VSEARCH: a versatile open source tool for metagenomics
(2016) · doi:10.7717/peerj.2584 · Cited by 10,773
Klindworth, A., Pruesse, E., Schweer, T., Peplies, J., Quast, C., Horn, M., & Glöckner, F. O. (2013) · Nucleic Acids Research · doi:10.1093/nar/gks808 · Cited by 8,850
Bokulich, N. A., Kaehler, B. D., Rideout, J. R., Dillon, M. R., Bolyen, E. K., Knight, R. D., Huttley, G. A., & Caporaso, J. G. (2018) · Microbiome · doi:10.1186/s40168-018-0470-z · Cited by 6,037
McDonald, D. T., Price, M. N., Goodrich, J. K., Nawrocki, E. P., DeSantis, T. Z., Probst, A. J., Andersen, G. L., Knight, R. D., & Hugenholtz, P. (2011) · The ISME Journal · doi:10.1038/ismej.2011.139 · Cited by 5,144
PEAR: a fast and accurate Illumina Paired-End reAd mergeR
Zhang, J., Kobert, K., Flouri, T., & Stamatakis, A. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btt593 · Cited by 4,497
Towards a unified paradigm for sequence‐based identification of fungi
Kõljalg, U., Nilsson, R. H., Abarenkov, K., Tedersoo, L., Taylor, A. F. S., Bahram, M., Bates, S. T., Bruns, T. D., Bengtsson‐Palme, J., Callaghan, T. M., et al. (2013) · Molecular Ecology · doi:10.1111/mec.12481 · Cited by 3,660
Cited by
Sorted by citations
Dai, T., Wen, D., Bates, C. T., Wu, L., Guo, X. Y., Liu, S., Su, Y., Lei, J., Zhou, J. Z., & Yang, Y. (2022) · Nature Communications · doi:10.1038/s41467-021-27857-6 · Cited by 475
Dai, T., Wen, D., Bates, C. T., Wu, L., Guo, X. Y., Liu, S., Su, Y., Lei, J., Zhou, J. Z., & Yang, Y. (2022) · RePEc: Research Papers in Economics · Cited by 329
Metabolic exchanges are ubiquitous in natural microbial communities
Kost, C., Patil, K. R., Friedman, J., Garcia, S. L., & Ralser, M. (2023) · Nature Microbiology · doi:10.1038/s41564-023-01511-x · Cited by 281
Self-citationEcological modelling approaches for predicting emergent properties in microbial communities
van den Berg, N. I., Machado, D., Santos, S., Rocha, I., Chacón, J. M., Harcombe, W. R., Mitri, S., & Patil, K. R. (2022) · Nature Ecology & Evolution · doi:10.1038/s41559-022-01746-7 · Cited by 260
Self-citationFungi as mediators linking organisms and ecosystems
Bahram, M., & Netherway, T. (2021) · FEMS Microbiology Reviews · doi:10.1093/femsre/fuab058 · Cited by 271
Fermented foods and gastrointestinal health: underlying mechanisms
Mukherjee, A., Breselge, S., Dimidi, E., Marco, M. L., & Cotter, P. D. (2023) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-023-00869-x · Cited by 275
Bello, M. D., Lee, H., Goyal, A., & Gore, J. (2021) · Nature Ecology & Evolution · doi:10.1038/s41559-021-01535-8 · Cited by 228
Wang, Y., Zhang, C., Liu, F., Jin, Z., & Xia, X. (2022) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2021.2025035 · Cited by 223
A citizen-science-enabled catalogue of the vaginal microbiome and associated factors
Lebeer, S., Ahannach, S., Gehrmann, T., Wittouck, S., Eilers, T., Oerlemans, E., Condori, S., Dillen, J., Spacova, I., Vander Donck, L., et al. (2023) · Nature Microbiology · doi:10.1038/s41564-023-01500-0 · Cited by 181
In vitro interaction network of a synthetic gut bacterial community
Weiß, A. S., Burrichter, A. G., Raj, A. C. D., von Strempel, A., Meng, C., Kleigrewe, K., Münch, P. C., Rössler, L., Huber, C., Eisenreich, W., et al. (2021) · The ISME Journal · doi:10.1038/s41396-021-01153-z · Cited by 180
Qiao, Y., Wang, Z., Sun, H., Guo, H., Song, Y., Zhang, H., Ruan, Y., Xu, Q., Huang, Q., Shen, Q., et al. (2024) · Microbiome · doi:10.1186/s40168-024-01814-z · Cited by 151
Unexplored microbial diversity from 2,500 food metagenomes and links with the human microbiome.
Carlino, N., Blanco-Míguez, A., Punčochář, M., Mengoni, C., Pinto, F., Tatti, A., Manghi, P., Armanini, F., Avagliano, M., Barcenilla, C., et al. (2024) · Cell · doi:10.1016/j.cell.2024.07.039 · Cited by 146
“L. kefiranofaciens and Lenti-lactobacillus kefiri 93,94 co-occurred in milk kefir, while water kefir defined a tight cluster dominated by L. paracasei , L. satsumensis (not detected in any other types), and Lentilactobacillus hilgardii .”
metaGEM: reconstruction of genome scale metabolic models directly from metagenomes
Zorrilla, F., Buric, F., Patil, K. R., & Zelezniak, A. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkab815 · Cited by 143
Self-citationYu, J., Correia‐Melo, C., Zorrilla, F., Herrera-Domínguez, L., Wu, M., Hartl, J., Campbell, K., Blasche, S., Kreidl, M., Egger, A.-S., et al. (2022) · Nature Microbiology · doi:10.1038/s41564-022-01072-5 · Cited by 128
Self-citationMicrobiome Assembly in Fermented Foods
Louw, N. L., Lele, K., Ye, R., Edwards, C. B., & Wolfe, B. E. (2023) · Annual Review of Microbiology · doi:10.1146/annurev-micro-032521-041956 · Cited by 138
Microbial foods for improving human and planetary health
Jahn, L. J., Rekdal, V. M., & Sommer, M. O. A. (2023) · Cell · doi:10.1016/j.cell.2022.12.002 · Cited by 119
Starter Culture Development and Innovation for Novel Fermented Foods
Gänzle, M. G., Monnin, L., Zheng, J., Zhang, L., Coton, M., Sicard, D., & Walter, J. (2023) · Annual Review of Food Science and Technology · doi:10.1146/annurev-food-072023-034207 · Cited by 121
Microbial interactions shape cheese flavour formation
Melkonian, C., Zorrilla, F., Kjærbølling, I., Blasche, S., Machado, D., Junge, M. P., Sørensen, K. I., Andersen, L. T., Patil, K. R., & Zeidan, A. A. (2023) · Nature Communications · doi:10.1038/s41467-023-41059-2 · Cited by 117
Self-citationMetabolic cross-feeding structures the assembly of polysaccharide degrading communities
Pontrelli, S., Szabo, R. E., Pollak, S., Schwartzman, J. A., Ledezma-Tejeida, D., Cordero, O. X., & Sauer, U. (2022) · Science Advances · doi:10.1126/sciadv.abk3076 · Cited by 108
Self-citationMicrobial interactions and ecology in fermented food ecosystems
Auchtung, J. M., Hallen‐Adams, H. E., & Hutkins, R. W. (2025) · Nature Reviews Microbiology · doi:10.1038/s41579-025-01191-w · Cited by 110
Kang, J., Huang, X., Li, R., Zhang, Y., Chen, X., & Han, B. (2024) · Food Research International · doi:10.1016/j.foodres.2024.114497 · Cited by 93
The community-function landscape of microbial consortia
Sánchez, Á., Bajić, D., Díaz‐Colunga, J., Skwara, A., Vila, J. C. C., & Kuehn, S. (2023) · Cell Systems · doi:10.1016/j.cels.2022.12.011 · Cited by 92
Barber, J. N., Nicholson, L. C., Woods, L. C., Judd, L. M., Sezmis, A. L., Hawkey, J., Holt, K. E., & McDonald, M. J. (2022) · The ISME Journal · doi:10.1038/s41396-022-01191-1 · Cited by 87
Jin, R., Song, J., Liu, C., Lin, R., Liang, D., Aweya, J. J., Weng, W., Zhu, L., Shang, J., & Yang, S. (2024) · Comprehensive Reviews in Food Science and Food Safety · doi:10.1111/1541-4337.13388 · Cited by 95
Construction of stable microbial consortia for effective biochemical synthesis
Jiang, Y., Wu, R., Zhang, W., Xin, F., & Jiang, M. (2023) · Trends in Biotechnology · doi:10.1016/j.tibtech.2023.05.008 · Cited by 86
Tan, Y., Du, H., Zhang, H., Chen, F., Jin, G., Chen, S., Wu, Q. J., Zhang, Y., Zhang, M. H., & Xu, Y. (2022) · Microbiology Spectrum · doi:10.1128/spectrum.01844-22 · Cited by 83
Chen, L., Qin, X., Wang, G., Teng, M., Zheng, Y., Yang, F., Du, H., Wang, L., & Xu, Y. (2024) · Bioresource Technology · doi:10.1016/j.biortech.2024.130854 · Cited by 81
Invited review: Milk kefir microbiota—Direct and indirect antimicrobial effects
González‐Orozco, B. D., García‐Cano, I., Jiménez‐Flores, R., & Alvárez, V. B. (2022) · Journal of Dairy Science · doi:10.3168/jds.2021-21382 · Cited by 77
The LuxS/AI-2 system regulates the probiotic activities of lactic acid bacteria
Meng, F., Zhao, M., & Lu, Z. (2022) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2022.05.014 · Cited by 75
Metatranscriptomics-guided genome-scale metabolic modeling of microbial communities
Zampieri, G., Campanaro, S., Angione, C., & Treu, L. (2023) · Cell Reports Methods · doi:10.1016/j.crmeth.2022.100383 · Cited by 85
Bacteriocins: potentials and prospects in health and agrifood systems
Reuben, R. C., & Torres, C. (2024) · Archives of Microbiology · doi:10.1007/s00203-024-03948-y · Cited by 88
Microbial Biofilms for Environmental Bioremediation of Heavy Metals: a Review
Syed, Z., Sogani, M., Rajvanshi, J., & Sonu, K. (2022) · Applied Biochemistry and Biotechnology · doi:10.1007/s12010-022-04276-x · Cited by 73
Giordano, N., Gaudin, M., Trottier, C., Delage, E., Nef, C., Bowler, C., & Chaffron, S. (2024) · Nature Communications · doi:10.1038/s41467-024-46374-w · Cited by 75
Spatially structured exchange of metabolites enhances bacterial survival and resilience in biofilms
Zhang, Y., Cai, Y., Zhang, B., & Zhang, Y. ‐. P. (2024) · Nature Communications · doi:10.1038/s41467-024-51940-3 · Cited by 71
Polysaccharides influence human health via microbiota-dependent and -independent pathways
Gan, L., Wang, J., & Guo, Y. (2022) · Frontiers in Nutrition · doi:10.3389/fnut.2022.1030063 · Cited by 77
Yang, H., Hao, L., Jin, Y., Huang, J., Zhou, R., & Wu, C. (2024) · Biotechnology Advances · doi:10.1016/j.biotechadv.2024.108397 · Cited by 69
Hernández-Velázquez, R., Flörl, L., Lavrinienko, A., Sebechlebská, Z., Merk, L., Greppi, A., & Bokulich, N. A. (2024) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2024.104569 · Cited by 71
Putting microbial interactions back into community contexts
Pierce, E. C., & Dutton, R. J. (2021) · Current Opinion in Microbiology · doi:10.1016/j.mib.2021.10.008 · Cited by 68
Nikoloudaki, O., Aheto, F., Cagno, R. D., & Gobbetti, M. (2024) · Food Research International · doi:10.1016/j.foodres.2024.114780 · Cited by 69
Srinivas, M., O’Sullivan, Ó., Cotter, P. D., van Sinderen, D., & Kenny, J. G. (2022) · Foods · doi:10.3390/foods11203297 · Cited by 69
Symbioses between fungi and bacteria: from mechanisms to impacts on biodiversity
Pawlowska, T. E. (2024) · Current Opinion in Microbiology · doi:10.1016/j.mib.2024.102496 · Cited by 60
Adaptive laboratory evolution of microbial co‐cultures for improved metabolite secretion
Konstantinidis, D., Pereira, F. M., Geissen, E., Grkovska, K., Kafkia, E., Jouhten, P., Kim, Y., Devendran, S., Zimmermann, M., & Patil, K. R. (2021) · Molecular Systems Biology · doi:10.15252/msb.202010189 · Cited by 60
Self-citationChameleon-like microbes promote microecological differentiation of Daqu.
Yang, L., Fan, W., & Xu, Y. (2022) · Food microbiology · doi:10.1016/j.fm.2022.104144 · Cited by 58
Hu, H., Wang, M., Huang, Y., Xu, Z., Xu, P., Nie, Y., & Tang, H. (2022) · mLife · doi:10.1002/mlf2.12043 · Cited by 61
Zhu, L., Wang, X., Liu, L., Le, B., Tan, C., Dong, C., Yao, X., & Hu, B. (2024) · Environmental Research · doi:10.1016/j.envres.2024.119155 · Cited by 58
Integrated molecular approaches for fermented food microbiome research
Walsh, A. M., Leech, J., Huttenhower, C., Delhomme-Nguyen, H., Crispie, F., Chervaux, C., & Cotter, P. D. (2023) · FEMS Microbiology Reviews · doi:10.1093/femsre/fuad001 · Cited by 56
Liao, H., Luo, Y., Huang, X., & Xia, X. (2022) · Food Chemistry · doi:10.1016/j.foodchem.2022.134936 · Cited by 55
Cooperative microbial interactions drive spatial segregation in porous environments
Wu, Y., Fu, C., Peacock, C. L., Sørensen, S. J., Redmile-Gordon, M. A., Xiao, K., Gao, C., Liu, J., Huang, Q., Li, Z., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-39991-4 · Cited by 61
Lactobacillus kefiranofaciens: From Isolation and Taxonomy to Probiotic Properties and Applications
Georgalaki, M. D., Ζουμποπούλου, Γ., Anastasiou, R., Κάζου, Μ., & Tsakalidou, E. (2021) · Microorganisms · doi:10.3390/microorganisms9102158 · Cited by 57
Li, M., Lao, F., Pan, X. Y., Yuan, L., Zhang, D., & Wu, J. (2024) · Food Research International · doi:10.1016/j.foodres.2024.114033 · Cited by 54
Lactobacilli biology, applications and host interactions
Mejía-Caballero, A., & Marco, M. L. (2025) · Nature Reviews Microbiology · doi:10.1038/s41579-025-01205-7 · Cited by 65
Metabolic adaptation to vitamin auxotrophy by leaf-associated bacteria
Ryback, B. A., Bortfeld‐Miller, M., & Vorholt, J. A. (2022) · The ISME Journal · doi:10.1038/s41396-022-01303-x · Cited by 52
Horizontal gene transfer is predicted to overcome the diversity limit of competing microbial species
Zhu, S., Hong, J., & Wang, T. (2024) · Nature Communications · doi:10.1038/s41467-024-45154-w · Cited by 60
van de Wouw, M., Walsh, C. J., Vigano, G. M. D., Lyte, J. M., Boehme, M., Gual‐Grau, A., Crispie, F., Walsh, A. M., Clarke, G. A., Dinan, T. G., et al. (2021) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2021.07.004 · Cited by 59
Spatially structured microbial consortia and their role in food fermentations
Michielsen, S., Vercelli, G. T., Cordero, O. X., & Bachmann, H. (2024) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2024.103102 · Cited by 49
Engineering Microbial Consortia as Living Materials: Advances and Prospectives
Wang, S., Zhan, Y., Jiang, X., & Lai, Y. (2024) · ACS Synthetic Biology · doi:10.1021/acssynbio.4c00313 · Cited by 50
Li, Q., Du, B., Chen, X., Zhao, Y., Zhu, L., Ma, H., Sun, B., Hao, J., & Li, X. (2024) · Food Bioscience · doi:10.1016/j.fbio.2024.103909 · Cited by 48
Zeng, X., Wang, Y., Jia, H., Wang, Z., Gao, Z., Luo, Y., Sheng, Q., Yuan, Y., & Yue, T. (2021) · Food Research International · doi:10.1016/j.foodres.2021.110849 · Cited by 47
Jiang, X., Peng, Z., & Zhang, J. (2024) · Food Research International · doi:10.1016/j.foodres.2024.114557 · Cited by 48
Chen, L., Wang, G., Teng, M., Wang, L., Yang, F., Jin, G., Du, H., & Xu, Y. (2023) · Comprehensive Reviews in Food Science and Food Safety · doi:10.1111/1541-4337.13135 · Cited by 46
D’Souza, G. G., Schwartzman, J. A., Keegstra, J. M., Schreier, J. E., Daniels, M., Cordero, O. X., Stocker, R., & Ackermann, M. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2305198120 · Cited by 45
Kharnaior, P., & Tamang, J. P. (2022) · Frontiers in Microbiology · doi:10.3389/fmicb.2022.868383 · Cited by 46
Unravelling metabolic cross‐feeding in a yeast–bacteria community using 13C‐based proteomics
Gabrielli, N., Maga‐Nteve, C., Kafkia, E., Rettel, M., Loeffler, J., Kamrad, S., Typas, A., & Patil, K. R. (2023) · Molecular Systems Biology · doi:10.15252/msb.202211501 · Cited by 44
Self-citationFuentes-Santiago, V., Vazquez, I. V., Vital‐Jácome, M., Zavala‐Méndez, M., Razo‐Flores, E., & Carrillo‐Reyes, J. (2023) · Journal of environmental chemical engineering · doi:10.1016/j.jece.2023.110302 · Cited by 43
Zeng, X., Jia, H., Zhang, X., Wang, X., Wang, Z., Gao, Z., Yuan, Y., & Yue, T. (2021) · Food & Function · doi:10.1039/d1fo01729b · Cited by 44
Glycolytic flux-signaling controls mouse embryo mesoderm development
Miyazawa, H., Snaebjornsson, M. T., Prior, N., Kafkia, E., Hammarén, H. M., Tsuchida-Straeten, N., Patil, K. R., Beck, M., & Aulehla, A. (2022) · eLife · doi:10.7554/elife.83299 · Cited by 42
Self-citationGuillen, M. N., Rosener, B., Sayin, S., & Mitchell, A. (2021) · Cell Systems · doi:10.1016/j.cels.2021.08.002 · Cited by 42
Plant pathogenesis: Toward multidimensional understanding of the microbiome
Lv, T., Zhan, C., Pan, Q., Xu, H., Fang, H., Wang, M., & Matsumoto, H. (2023) · iMeta · doi:10.1002/imt2.129 · Cited by 43
Kefir: a fermented plethora of symbiotic microbiome and health
Tingirikari, J. M. R., Sharma, A., & Lee, H. (2024) · Journal of Ethnic Foods · doi:10.1186/s42779-024-00252-4 · Cited by 41
You, L., Jin, H., Kwok, L., Lv, R., Zhao, Z., Bilige, M., Sun, Z., Liu, W., & Zhang, H. (2023) · 中国科学通报:英文版 · doi:10.1016/j.scib.2023.09.001 · Cited by 43
Bacterial quorum sensing orchestrates longitudinal interactions to shape microbiota assembly
Su, Y., Xu, M.-Y., Cui, Y., Chen, R.-Z., Xie, L.-X., Zhang, J., Chen, Y.-Q., & Ding, T. (2023) · Microbiome · doi:10.1186/s40168-023-01699-4 · Cited by 39
Novel fermentations integrate traditional practice and rational design of fermented-food microbiomes
Arrigan, D., Kothe, C. I., Oliverio, A., Evans, J. D., & Wolfe, B. E. (2024) · Current Biology · doi:10.1016/j.cub.2024.09.047 · Cited by 38
Li, Y., Qin, X., Zeng, X., She, M., Chen, L., Lu, J., Han, Y., Yang, F., Tu, H., Du, H., et al. (2025) · Chemical Engineering Journal · doi:10.1016/j.cej.2025.161049 · Cited by 38
Distinct N and C Cross-Feeding Networks in a Synthetic Mouse Gut Consortium
Escriva, P. P., Fuhrer, T., & Sauer, U. (2022) · mSystems · doi:10.1128/msystems.01484-21 · Cited by 35
Self-citationSun, H. L., Chai, L., Fang, G.-Y., Lu, Z., Zhang, X., Wang, S., Shen, C., Shi, J., & Xu, Z. (2022) · Applied and Environmental Microbiology · doi:10.1128/aem.00484-22 · Cited by 35
Acidity drives volatile metabolites in the spontaneous fermentation of sesame flavor-type baijiu
Ji, X., Yu, X., Zhang, L., Wu, Q., Chen, F., Guo, F., & Xu, Y. (2023) · International Journal of Food Microbiology · doi:10.1016/j.ijfoodmicro.2023.110101 · Cited by 35
The complex world of kefir: Structural insights and symbiotic relationships
Cheng, T., Zhang, T., Zhang, P., He, X., Sadiq, F. A., Li, J., Sang, Y., & Gao, J. (2024) · Comprehensive Reviews in Food Science and Food Safety · doi:10.1111/1541-4337.13364 · Cited by 35
A framework for understanding collective microbiome metabolism
Huelsmann, M., Schubert, O. T., & Ackermann, M. (2024) · Nature Microbiology · doi:10.1038/s41564-024-01850-3 · Cited by 38
Oshiro, M., Tanaka, M., Momoda, R., Zendo, T., & Nakayama, J. (2021) · Microbiology Spectrum · doi:10.1128/spectrum.00662-21 · Cited by 35
Metagenomic features of Tibetan kefir grains and its metabolomics analysis during fermentation
Cui, Y., Wang, X., Yue, Y., Du, G., Chen, H., Ning, M., Yuan, Y., & Yue, T. (2023) · LWT · doi:10.1016/j.lwt.2023.114502 · Cited by 34
Raw milk kefir: microbiota, bioactive peptides, and immune modulation
Baars, T., van Esch, B. C. A. M., van Ooijen, L., Zhang, Z., Dekker, P. M., Boeren, S. A., Diks, M. A. P., Garssen, J., Hettinga, K. A., & Kort, R. (2023) · Food & Function · doi:10.1039/d2fo03248a · Cited by 36
Connecting microbial community assembly and function
Bittleston, L. S. (2024) · Current Opinion in Microbiology · doi:10.1016/j.mib.2024.102512 · Cited by 34
Moving from genome-scale to community-scale metabolic models for the human gut microbiome
Quinn-Bohmann, N., Carr, A. V., Diener, C., & Gibbons, S. M. (2025) · Nature Microbiology · doi:10.1038/s41564-025-01972-2 · Cited by 39
Szabo, R. E., Pontrelli, S., Grilli, J., Schwartzman, J. A., Pollak, S., Sauer, U., & Cordero, O. X. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2117748119 · Cited by 32
Self-citationMicron-scale biogeography reveals conservative intra anammox bacteria spatial co-associations
Chen, L., Zhao, B., Palomo, A., Sun, Y., Cheng, Z., Zhang, M., & Xia, Y. (2022) · Water Research · doi:10.1016/j.watres.2022.118640 · Cited by 33
A systematic, complexity-reduction approach to dissect the kombucha tea microbiome
Huang, X., Xin, Y., & Lu, T. (2022) · eLife · doi:10.7554/elife.76401 · Cited by 38
Niu, C., Xing, X., Wang, Y., Li, X., Zheng, F., Liu, C., Wang, J., & Li, Q. (2023) · Food Research International · doi:10.1016/j.foodres.2023.113554 · Cited by 32
Hu, S., Xu, C., Xie, Y., Ma, L., Niu, Q., Han, G., & Huang, J. (2023) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2023.168723 · Cited by 33
Cell shape affects bacterial colony growth under physical confinement
Sreepadmanabh, M., Ganesh, M., Sanjenbam, P., Kurzthaler, C., Agashe, D., & Bhattacharjee, T. (2024) · Nature Communications · doi:10.1038/s41467-024-53989-6 · Cited by 33
Boruta, T., Ścigaczewska, A., & Bizukojć, M. (2021) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2021.713639 · Cited by 31
An ensemble approach to the structure-function problem in microbial communities
Gopalakrishnappa, C., Gowda, K., Prabhakara, K., & Kuehn, S. (2022) · iScience · doi:10.1016/j.isci.2022.103761 · Cited by 34
Henriksen, N. N. S. E., Hansen, M. F., Kiesewalter, H. T., Russel, J., Nesme, J., Foster, K. R., Svensson, B., Øregaard, G., Herschend, J., & Burmølle, M. (2022) · npj Biofilms and Microbiomes · doi:10.1038/s41522-022-00323-x · Cited by 30
Zhao, S., Niu, C., Wang, Y., Zan, Y., Zheng, F., Liu, C., Wang, J., & Li, Q. (2023) · Applied and Environmental Microbiology · doi:10.1128/aem.00621-23 · Cited by 30
Use and limitations of genome-scale metabolic models in food microbiology
Somerville, V., Grigaitis, P., Battjes, J., Moro, F., & Teusink, B. (2021) · Current Opinion in Food Science · doi:10.1016/j.cofs.2021.12.010 · Cited by 28
Self-citationVolatile organic compounds mediated endogenous microbial interactions in Chinese baijiu fermentation
Hao, H., Yan, R., Miao, Z., Wang, B., Sun, J., & Sun, B. (2022) · International Journal of Food Microbiology · doi:10.1016/j.ijfoodmicro.2022.109955 · Cited by 29
Metagenomic analysis and antibacterial activity of kefir microorganisms
González‐Orozco, B. D., García‐Cano, I., Escobar‐Zepeda, A., Jiménez‐Flores, R., & Alvárez, V. B. (2023) · Journal of Food Science · doi:10.1111/1750-3841.16614 · Cited by 31
Synthetic microbial ecology: engineering habitats for modular consortia
Chen, Y. C., Destouches, L., Cook, A., & Fedorec, A. J. H. (2024) · Journal of Applied Microbiology · doi:10.1093/jambio/lxae158 · Cited by 30
Spatial structure: shaping the ecology and evolution of microbial communities
Bäcker, M., Doekes, H. M., Garza, D. R., Meijer, J., van Vliet, S., Allen, R. J., Hogeweg, P., Dutilh, B. E., & van Dijk, B. (2026) · FEMS Microbiology Reviews · doi:10.1093/femsre/fuaf067 · Cited by 34
Predicting the effect of climatic factors on diversity of flavor compounds in Daqu fermentation
Liang, F., Ban, S., Huang, H., Che, F., Wu, Q., & Xu, Y. (2022) · LWT · doi:10.1016/j.lwt.2022.113984 · Cited by 29
Walsh, L. H., Coakley, M., Walsh, A. M., Crispie, F., O’Toole, P. W., & Cotter, P. D. (2023) · iScience · doi:10.1016/j.isci.2023.108004 · Cited by 29
Metadata
- Authors
- Blasche, S., Kim, Y., Mars, R. A. T., Machado, D., Maansson, M., Kafkia, E., Milanese, A., Zeller, G., Teusink, B., Nielsen, J., Benes, V., Neves, R., Sauer, U., & Patil, K. R.
- Affiliations
- European Molecular Biology Laboratory (DE)
- ETH Zurich (CH)
- Chr. Hansen (Denmark) (DK)
- University of Cambridge (GB)
- Vrije Universiteit Amsterdam (NL)
- Chalmers University of Technology (SE)
- Corresponding author
- Patil, Kiran Raosaheb
- ORCID
- Venue
- Nature Microbiology
- Published
- 2021-01-04
- Volume
- 6
- Issue
- 2
- Pages
- 196-208
- ISSN
- 2058-5276 (ISSN-L)
- PMC
- PMC7610452
- OpenAlex
- W3120785972
- Cited by
- 328
- References
- 73
- Citations by year
- 2026: 73 · 2025: 59 · 2024: 65 · 2023: 55 · 2022: 46 · 2021: 30
- FWCI
- 29.58
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- Locations
- Nature Microbiology (publishedVersion)
- PubMed (publishedVersion)
- VU Research Portal (publishedVersion)
- PubMed Central (acceptedVersion)
- Chalmers Research (Chalmers University of Technology) (submittedVersion)
- Apollo (University of Cambridge) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Apollo
- Funders
- Bundesministerium für Bildung und Forschung (031A601B)
- Innovationsfonden (6150-00033A)
- Topics
- Life Sciences › Agricultural and Biological Sciences › Food Science › Probiotics and Fermented Foods
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Life Sciences › Agricultural and Biological Sciences › Food Science › Fermentation and Sensory Analysis
- Keywords
- kefir, microbial coexistence, metabolic cooperation, resource partitioning, kefir grains, lactic acid bacteria, acetic acid bacteria, Saccharomycetaceae, dairy fermentation, interspecies interactions, metabolite dynamics, species co-occurrence
- MeSH terms
- Kefir, Bacteria, Saccharomycetales, Fermentation, Phylogeny, Acetic Acid, Lactic Acid, Metabolomics, Microbial Interactions, Microbiota
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