High-throughput microbial culturomics using automation and machine learning
Open accessAbstract
Pure bacterial cultures remain essential for detailed experimental and mechanistic studies in microbiome research, and traditional methods to isolate individual bacteria from complex microbial ecosystems are labor-intensive, difficult-to-scale and lack phenotype-genotype integration. Here we describe an open-source high-throughput robotic strain isolation platform for the rapid generation of isolates on demand. We develop a machine learning approach that leverages colony morphology and genomic data to maximize the diversity of microbes isolated and enable targeted picking of specific genera. Application of this platform on fecal samples from 20 humans yields personalized gut microbiome biobanks totaling 26,997 isolates that represented >80% of all abundant taxa. Spatial analysis on >100,000 visually captured colonies reveals cogrowth patterns between Ruminococcaceae, Bacteroidaceae, Coriobacteriaceae and Bifidobacteriaceae families that suggest important microbial interactions. Comparative analysis of 1,197 high-quality genomes from these biobanks shows interesting intra- and interpersonal strain evolution, selection and horizontal gene transfer. This culturomics framework should empower new research efforts to systematize the collection and quantitative analysis of imaging-based phenotypes with high-resolution genomics data for many emerging microbiome studies.
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
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?
Large-scale cultivation projects and massive metagenomic assembly efforts are quickly expanding and completing reference databases needed for taxonomic profiling tools.
“However, particularly for the gut microbiome, largescale cultivation projects 134 and massive metagenomic assembly efforts 135 are quickly expanding and completing reference databases needed for taxonomic profiling tools. 136”
From Key determinants of success in fecal microbiota transplantation: From microbiome to clinic (2023) · cites this paper as [134]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
The Sequence Alignment/Map format and SAMtools
Li, H., Handsaker, B., Wysoker, A., Fennell, T., Ruan, J., Homer, N., Marth, G., Abecasis, G., Durbin, R., & 1000 Genome Project Data Processing Subgroup (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp352 · Cited by 62,041 · see citing works
Fast gapped-read alignment with Bowtie 2
Langmead, B., & Salzberg, S. L. (2012) · Nature Methods · doi:10.1038/nmeth.1923 · Cited by 56,400 · see citing works
MUSCLE: multiple sequence alignment with high accuracy and high throughput
Edgar, R. C. (2004) · Nucleic Acids Research · doi:10.1093/nar/gkh340 · Cited by 44,662 · see citing works
MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms
Kumar, S., Stecher, G., Li, M., Knyaz, C., & Tamura, K. (2018) · Molecular Biology and Evolution · doi:10.1093/molbev/msy096 · Cited by 37,683 · see citing works
BLAST+: architecture and applications
Camacho, C., Coulouris, G., Avagyan, V., Ma, N., Papadopoulos, J., Bealer, K., & Madden, T. L. (2009) · BMC Bioinformatics · doi:10.1186/1471-2105-10-421 · Cited by 22,074 · see citing works
Search and clustering orders of magnitude faster than BLAST
Edgar, R. C. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq461 · Cited by 20,617 · see citing works
Naive Bayesian Classifier for Rapid Assignment of rRNA Sequences into the New Bacterial Taxonomy
Wang, Q., Garrity, G. M., Tiedje, J. M., & Cole, J. R. (2007) · Applied and Environmental Microbiology · doi:10.1128/aem.00062-07 · Cited by 19,770 · see citing works
Prokka: rapid prokaryotic genome annotation
Seemann, T. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu153 · Cited by 18,512 · see citing works
Parks, D. H., Imelfort, M., Skennerton, C. T., Hugenholtz, P., & Tyson, G. W. (2015) · Genome Research · doi:10.1101/gr.186072.114 · Cited by 12,496 · see citing works
QUAST: quality assessment tool for genome assemblies
Gurevich, A., Saveliev, V., Vyahhi, N., & Tesler, G. (2013) · Bioinformatics · doi:10.1093/bioinformatics/btt086 · Cited by 11,172 · see citing works
Unicycler: Resolving bacterial genome assemblies from short and long sequencing reads
Wick, R. R., Judd, L. M., Gorrie, C. L., & Holt, K. E. (2017) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1005595 · Cited by 8,728 · see citing works
High throughput ANI analysis of 90K prokaryotic genomes reveals clear species boundaries
Jain, C., Rodriguez-R, L. M., Phillippy, A. M., Konstantinidis, K. T., & Aluru, S. (2018) · Nature Communications · doi:10.1038/s41467-018-07641-9 · Cited by 5,748 · see citing works
Diversity, stability and resilience of the human gut microbiota
Lozupone, C. A., Stombaugh, J. I., Gordon, J. I., Jansson, J. K., & Knight, R. (2012) · Nature · doi:10.1038/nature11550 · Cited by 5,533 · see citing works
GTDB-Tk: a toolkit to classify genomes with the Genome Taxonomy Database
Chaumeil, P.-A., Mussig, A. J., Hugenholtz, P., & Parks, D. H. (2019) · Bioinformatics · doi:10.1093/bioinformatics/btz848 · Cited by 5,176 · see citing works
Artificial intelligence in radiology
Hosny, A., Parmar, C., Quackenbush, J., Schwartz, L. H., & Aerts, H. J. W. L. (2018) · Nature Reviews Cancer · doi:10.1038/s41568-018-0016-5 · Cited by 3,803 · see citing works
CARD 2020: Antibiotic Resistome Surveillance with the Comprehensive Antibiotic Resistance Database
Alcock, B. P., Raphenya, A. R., Lau, T. T. Y., Tsang, K. K., Bouchard, M., Edalatmand, A., Huynh, W., Nguyen, A.-L. V., Cheng, A. A., Liu, S., et al. (2019) · Nucleic Acids Research · doi:10.1093/nar/gkz935 · Cited by 3,202 · see citing works
Gut microbiome structure and metabolic activity in inflammatory bowel disease
Franzosa, E. A., Sirota-Madi, A., Avila-Pacheco, J., Fornelos, N., Haiser, H. J., Reinker, S., Vatanen, T., Hall, A. B., Mallick, H., McIver, L. J., et al. (2018) · Nature Microbiology · doi:10.1038/s41564-018-0306-4 · Cited by 1,995 · see citing works
Pasolli, E., Asnicar, F., Manara, S., Zolfo, M., Karcher, N., Armanini, F., Beghini, F., Manghi, P., Tett, A., Ghensi, P., et al. (2019) · Cell · doi:10.1016/j.cell.2019.01.001 · Cited by 1,591 · see citing works
A new genomic blueprint of the human gut microbiota
Almeida, A., Mitchell, A. L., Boland, M., Forster, S. C., Gloor, G. B., Tarkowska, A., Lawley, T. D., & Finn, R. D. (2019) · Nature · doi:10.1038/s41586-019-0965-1 · Cited by 1,314 · see citing works
Culturing of ‘unculturable’ human microbiota reveals novel taxa and extensive sporulation
Browne, H. P., Forster, S. C., Anonye, B. O., Kumar, N., Neville, B. A., Stares, M. D., Goulding, D., & Lawley, T. D. (2016) · Nature · doi:10.1038/nature17645 · Cited by 1,299 · see citing works
Strains, functions and dynamics in the expanded Human Microbiome Project
Lloyd-Price, J., Mahurkar, A., Rahnavard, G., Crabtree, J., Orvis, J., Hall, A. B., Brady, A., Creasy, H. H., McCracken, C., Giglio, M. G., et al. (2017) · Nature · doi:10.1038/nature23889 · Cited by 1,267 · see citing works
Ecology drives a global network of gene exchange connecting the human microbiome
Smillie, C. S., Smith, M. B., Friedman, J., Cordero, O. X., David, L. A., & Alm, E. J. (2011) · Nature · doi:10.1038/nature10571 · Cited by 953 · see citing works
Louis, P., Young, P., Holtrop, G., & Flint, H. J. (2009) · Environmental Microbiology · doi:10.1111/j.1462-2920.2009.02066.x · Cited by 783 · see citing works
Goodman, A. L., Kallstrom, G., Faith, J. J., Reyes, A., Moore, A. M., Dantas, G. A., & Gordon, J. I. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1102938108 · Cited by 779 · see citing works
Updating the 97% identity threshold for 16S ribosomal RNA OTUs
Edgar, R. C. (2018) · Bioinformatics · doi:10.1093/bioinformatics/bty113 · Cited by 723 · see citing works
Inexpensive Multiplexed Library Preparation for Megabase-Sized Genomes
Baym, M., Kryazhimskiy, S., Lieberman, T. D., Chung, H., Desai, M. M., & Kishony, R. (2015) · PLOS ONE · doi:10.1371/journal.pone.0128036 · Cited by 685 · see citing works
Deciphering microbial interactions in synthetic human gut microbiome communities
Venturelli, O. S., Carr, A. V., Fisher, G., Hsu, R. H., Lau, R., Bowen, B. P., Hromada, S. E., Northen, T. R., & Arkin, A. P. (2018) · Molecular Systems Biology · doi:10.15252/msb.20178157 · Cited by 539 · see citing works
1,520 reference genomes from cultivated human gut bacteria enable functional microbiome analyses
Zou, Y., Xue, W., Luo, G., Deng, Z., Qin, P., Guo, R., Sun, H., Xia, Y., Liang, S., Dai, Y., et al. (2019) · Nature Biotechnology · doi:10.1038/s41587-018-0008-8 · Cited by 526 · see citing works
Modifying and reacting to the environmental pH can drive bacterial interactions
Ratzke, C., & Gore, J. (2018) · PLoS Biology · doi:10.1371/journal.pbio.2004248 · Cited by 456 · see citing works
Adaptive Evolution within Gut Microbiomes of Healthy People
Zhao, S., Lieberman, T. D., Poyet, M., Kauffman, K. M., Gibbons, S. M., Groussin, M., Xavier, R. J., & Alm, E. J. (2019) · Cell Host & Microbe · doi:10.1016/j.chom.2019.03.007 · Cited by 434 · see citing works
Self-citationInhibition of histone deacetylase 1 (HDAC1) and HDAC2 enhances CRISPR/Cas9 genome editing
Liu, B., Chen, S., Rose, A. M. L., Chen, D., Cao, F., Zwinderman, M. R. H., Kiemel, D., Aïssi, M., Dekker, F. J., & Haisma, H. J. (2019) · Nucleic Acids Research · doi:10.1093/nar/gkz1136 · Cited by 370 · see citing works
Poyet, M., Groussin, M., Gibbons, S. M., Ávila-Pacheco, J., Jiang, X., Kearney, S. M., Perrotta, A. R., Berdy, B. M., Zhao, S., Lieberman, T. D., et al. (2019) · Nature Medicine · doi:10.1038/s41591-019-0559-3 · Cited by 365 · see citing works
Self-citationThe Landscape of Genetic Content in the Gut and Oral Human Microbiome
Tierney, B. T., Yang, Z., Luber, J. M., Beaudin, M., Wibowo, M. C., Baek, C., Mehlenbacher, E., Patel, C. J., & Kostic, A. D. (2019) · Cell Host & Microbe · doi:10.1016/j.chom.2019.07.008 · Cited by 346 · see citing works
The Long-Term Genetic Stability and Individual Specificity of the Human Gut Microbiome
Chen, L., Wang, D., Garmaeva, S., Kurilshikov, A., Vila, A. V., Gaćeša, R., Sinha, T., Study, L. C., Segal, E., Weersma, R. K., et al. (2020) · Cell · doi:10.1016/j.cell.2021.03.024 · Cited by 337 · see citing works
Elevated rates of horizontal gene transfer in the industrialized human microbiome
Groussin, M., Poyet, M., Sistiaga, A., Kearney, S. M., Moniz, K., Noel, M., Hooker, J., Gibbons, S. M., Ségurel, L., Froment, A., et al. (2021) · Cell · doi:10.1016/j.cell.2021.02.052 · Cited by 331 · see citing works
Type IV secretion systems: tools of bacterial horizontal gene transfer and virulence
Juhas, M., Crook, D. W., & Hood, D. W. (2008) · Cellular Microbiology · doi:10.1111/j.1462-5822.2008.01187.x · Cited by 291 · see citing works
Insertional transposon mutagenesis by electroporation of released Tn5 transposition complexes
Goryshin, I. Y., Jendrisak, J. J., Hoffman, L. M., Meis, R. J., & Reznikoff, W. S. (2000) · Nature Biotechnology · doi:10.1038/72017 · Cited by 266 · see citing works
Metagenomic engineering of the mammalian gut microbiome in situ
Ronda, C., Chen, S. P., Cabral, V., Yaung, S. J., & Wang, H. H. (2019) · Nature Methods · doi:10.1038/s41592-018-0301-y · Cited by 238 · see citing works
Self-citationWang, H., Koydemir, H. C., Qiu, Y., Bai, B., Zhang, Y., Jin, Y., Tok, S., Yılmaz, E. C., Gumustekin, E., Rivenson, Y., et al. (2020) · Light Science & Applications · doi:10.1038/s41377-020-00358-9 · Cited by 214 · see citing works
Self-citationApplication of Machine Learning in Microbiology
Qu, K., Guo, F., Liu, X., Lin, Y., & Zou, Q. (2019) · Frontiers in Microbiology · doi:10.3389/fmicb.2019.00827 · Cited by 199 · see citing works
Eichinger, V., Nußbaumer, T., Platzer, A., Jehl, M.-A., Arnold, R. R., & Rattei, T. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv1269 · Cited by 184 · see citing works
Characterization of Colony Morphology Variants Isolated fromStreptococcus pneumoniaeBiofilms
Allegrucci, M., & Sauer, K. (2006) · Journal of Bacteriology · doi:10.1128/jb.01369-06 · Cited by 174 · see citing works
Rettedal, E. A., Gumpert, H., & Sommer, M. O. A. (2014) · Nature Communications · doi:10.1038/ncomms5714 · Cited by 168 · see citing works
Watterson, W. J., Tanyeri, M., Watson, A. R., Cham, C. M., Shan, Y., Chang, E. B., Eren, A. M., & Tay, S. (2020) · eLife · doi:10.7554/elife.56998 · Cited by 146 · see citing works
A bacterial basic region leucine zipper histidine kinase regulating toluene degradation
Lau, P. C. K., Wang, Y., Patel, A. K., Labbé, D., Bergeron, H., Brousseau, R., Konishi, Y., & Rawlings, M. (1997) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.94.4.1453 · Cited by 136 · see citing works
Woods, L. C., Gorrell, R. J., Taylor, F., Connallon, T., Kwok, T., & McDonald, M. J. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2005331117 · Cited by 130 · see citing works
Defois, C., Ratel, J., Garrait, G., Denis, S., Goff, O. L., Talvas, J., Mosoni, P., Engel, E., & Peyret, P. (2018) · Scientific Reports · doi:10.1038/s41598-018-29376-9 · Cited by 127 · see citing works
Kim, H., Jeong, Y., Kang, S., You, H. J., & Ji, G. E. (2020) · Microorganisms · doi:10.3390/microorganisms8050788 · Cited by 114 · see citing works
Spatially-resolved metabolic cooperativity within dense bacterial colonies
Cole, J. A., Kohler, L., Hedhli, J., & Luthey-Schulten, Z. A. (2015) · BMC Systems Biology · doi:10.1186/s12918-015-0155-1 · Cited by 106 · see citing works
A practical guide to intelligent image-activated cell sorting
Isozaki, A., Mikami, H., Hiramatsu, K., Sakuma, S., Kasai, Y., Iino, T., Yamano, T., Yasumoto, A., Oguchi, Y., Suzuki, N., et al. (2019) · Nature Protocols · doi:10.1038/s41596-019-0183-1 · Cited by 99 · see citing works
Lindstad, L. J., Lo, G., Leivers, S., Lu, Z., Michalak, L., Pereira, G. V., Røhr, Å. K., Martens, E. C., McKee, L. S., Louis, P., et al. (2021) · mBio · doi:10.1128/mbio.03628-20 · Cited by 86 · see citing works
Ji, B. W., Sheth, R. U., Dixit, P. D., Huang, Y., Kaufman, A., Wang, H. H., & Vitkup, D. (2019) · Nature Methods · doi:10.1038/s41592-019-0467-y · Cited by 83 · see citing works
Self-citationMacroecological dynamics of gut microbiota
Ji, B. W., Sheth, R. U., Dixit, P. D., Tchourine, K., & Vitkup, D. (2020) · Nature Microbiology · doi:10.1038/s41564-020-0685-1 · Cited by 81 · see citing works
Self-citationJeong, H., Arif, B., Caetano‐Anollés, G., Kim, K. M., & Nasir, A. (2019) · Scientific Reports · doi:10.1038/s41598-019-42227-5 · Cited by 77 · see citing works
Analysis of intact bacteria using rapid evaporative ionisation mass spectrometry
Strittmatter, N., Jones, E. A., Veselkov, K., Rebec, M., Bundy, J. G., & Takáts, Z. (2013) · Chemical Communications · doi:10.1039/c3cc42015a · Cited by 76 · see citing works
The spatial and metabolic basis of colony size variation
Chacón, J. M., Möbius, W., & Harcombe, W. R. (2018) · The ISME Journal · doi:10.1038/s41396-017-0038-0 · Cited by 71 · see citing works
Emerging mass spectrometry techniques for the direct analysis of microbial colonies
Fang, J., & Dorrestein, P. C. (2014) · Current Opinion in Microbiology · doi:10.1016/j.mib.2014.06.014 · Cited by 69 · see citing works
Villa, M. M., Bloom, R. J., Silverman, J. D., Durand, H. K., Jiang, S., Wu, A., Dallow, E. P., Huang, S., You, L., & David, L. A. (2020) · mSystems · doi:10.1128/msystems.00864-19 · Cited by 58 · see citing works
Novel neural network application for bacterial colony classification
Huang, L., & Wu, T. (2018) · Theoretical Biology and Medical Modelling · doi:10.1186/s12976-018-0093-x · Cited by 56 · see citing works
Mutalik, V. K., Novichkov, P. S., Price, M. N., Owens, T. K., Callaghan, M., Carim, S., Deutschbauer, A. M., & Arkin, A. P. (2019) · Nature Communications · doi:10.1038/s41467-018-08177-8 · Cited by 49 · see citing works
Cabeen, M. T., Leiman, S. A., & Losick, R. M. (2015) · Molecular Microbiology · doi:10.1111/mmi.13250 · Cited by 45 · see citing works
The Long-Term Genetic Stability and Individual Specificity of the Human Gut MicrobiomePreprint
Chen, L., Wang, D., Garmaeva, S., et al. (2020) · SSRN Electronic Journal · doi:10.2139/ssrn.3653563 · Cited by 32 · see citing works
Qamer, S., Sandoe, J. A. T., & Kerr, K. G. (2003) · Journal of Clinical Microbiology · doi:10.1128/jcm.41.6.2644-2646.2003 · Cited by 16 · see citing works
Regulation of colony morphology and biofilm formation in Shewanella algae
Martín‐Rodríguez, A. J., Villion, K., Yilmaz‐Turan, S., Vilaplana, F., Sjöling, Å., & Römling, U. (2021) · Microbial Biotechnology · doi:10.1111/1751-7915.13788 · Cited by 13 · see citing works
Flagged first, then by citations
Research works printed but not linked: 3
- [10]Allegrucci M Sauer K Characterization of colony morphology variants isolated from Streptococcus pneumoniae biofilms J. Bacteriol. 2007 189 2030 2038 17189375 PMC1855740
- [63]Huang, Y. et al. High-throughput microbial culturomics using automation and machine learning. WGS of isolates collection. Sequence Read Archive. https://www.ncbi.nlm.nih.gov/bioproject/PRJNA745993 (2023). PMC10567565 36805559
- [64]Huang, Y. et al. High-throughput microbial culturomics using automation and machine learning. GitHub. https://github.com/hym0405/CAMII (2023). PMC10567565 36805559
Cited by
Sorted by citations
Probiotics, prebiotics, and postbiotics in health and disease
Ji, J., Jin, W., Liu, S., Jiao, Z., & Li, X. (2023) · MedComm · doi:10.1002/mco2.420 · Cited by 416 · see citing works
Key determinants of success in fecal microbiota transplantation: From microbiome to clinic
Porcari, S., Benech, N., Valles-Colomer, M., Segata, N., Gasbarrini, A., Cammarota, G., Sokol, H., & Ianiro, G. (2023) · Cell Host & Microbe · doi:10.1016/j.chom.2023.03.020 · Cited by 331 · see citing works
Soil microbiome engineering for sustainability in a changing environment
Jansson, J. K., McClure, R., & Egbert, R. G. (2023) · Nature Biotechnology · doi:10.1038/s41587-023-01932-3 · Cited by 274 · see citing works
AGILE platform: a deep learning powered approach to accelerate LNP development for mRNA delivery
Xu, Y., Ma, S., Cui, H., Chen, J., Xu, S., Gong, F., Golubovic, A., Zhou, M., Wang, K. C., Varley, A., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-50619-z · Cited by 260 · see citing works
Intestinal colonization resistance in the context of environmental, host, and microbial determinants
Woelfel, S., Silva, M. S., & Stecher, B. (2024) · Cell Host & Microbe · doi:10.1016/j.chom.2024.05.002 · Cited by 142 · see citing works
Unraveling plant–microbe interactions: can integrated omics approaches offer concrete answers?
Kimotho, R. N., & Maina, S. (2023) · Journal of Experimental Botany · doi:10.1093/jxb/erad448 · Cited by 133 · see citing works
Sahu, S., Kaur, A., Singh, G., & Arya, S. K. (2023) · Journal of Environmental Management · doi:10.1016/j.jenvman.2023.119004 · Cited by 125 · see citing works
Community standards and future opportunities for synthetic communities in plant–microbiota research
Northen, T. R., Kleiner, M., Torres, M., Kovács, Á. T., Nicolaisen, M. H., Krzyżanowska, D. M., Sharma, S., Lund, G., Jelsbak, L., Baars, O., et al. (2024) · Nature Microbiology · doi:10.1038/s41564-024-01833-4 · Cited by 125 · see citing works
Unraveling host regulation of gut microbiota through the epigenome–microbiome axis
Pepke, M. L., Hansen, S. B., & Limborg, M. T. (2024) · Trends in Microbiology · doi:10.1016/j.tim.2024.05.006 · Cited by 117 · see citing works
Brockmann, L., Tran, A., Huang, Y., Edwards, M., Ronda, C., Wang, H. H., & Ivanov, I. I. (2023) · Immunity · doi:10.1016/j.immuni.2023.11.003 · Cited by 112 · see citing works
Self-citationClagnan, E., Costanzo, M., Visca, A., Gregorio, L. D., Tabacchioni, S., Colantoni, E., Sevi, F., Sbarra, F., Bindo, A., Nolfi, L., et al. (2024) · Frontiers in Microbiology · doi:10.3389/fmicb.2024.1473666 · Cited by 92 · see citing works
Li, S., Lian, W., Han, J.-R., Ali, M., Lin, Z., Liu, Y., Li, L., Zhang, D., Jiang, X., Li, W., et al. (2023) · npj Biofilms and Microbiomes · doi:10.1038/s41522-023-00439-8 · Cited by 91 · see citing works
Ramasamy, K. P., Mahawar, L., Rajasabapathy, R., Rajeshwari, K., Miceli, C., & Pucciarelli, S. (2023) · Frontiers in Microbiology · doi:10.3389/fmicb.2023.1197797 · Cited by 86 · see citing works
Taxonomic and environmental distribution of bacterial amino acid auxotrophies
Ramoneda, J., Jensen, T. B. N., Price, M. N., Casamayor, E. O., & Fierer, N. (2023) · Nature Communications · doi:10.1038/s41467-023-43435-4 · Cited by 83 · see citing works
Misu, I. J., Kayess, M. O., Siddiqui, M. N., Gupta, D. R., Islam, M. N., & Islam, T. (2025) · Microorganisms · doi:10.3390/microorganisms13020233 · Cited by 79 · see citing works
Zhang, H., Xie, Y., Cao, F., & Song, X. (2024) · Gut Microbes · doi:10.1080/19490976.2024.2382336 · Cited by 68 · see citing works
Broadening oncological boundaries: the intratumoral microbiota
Lu, Y.-Q., Qiao, H., Tan, X.-R., & Liu, N. (2024) · Trends in Microbiology · doi:10.1016/j.tim.2024.01.007 · Cited by 66 · see citing works
Han, X., Liu, Q., Li, Y., Zhang, M., Liu, K., Kwok, L.-Y., Zhang, H., & Zhang, W. (2025) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2025.104938 · Cited by 64 · see citing works
Psychobiotics and the Microbiota–Gut–Brain Axis: Where Do We Go from Here?
Binda, S., Tremblay, A., Iqbal, U., Kassem, O., Barz, M. L., Thomas, V., Bronner, S., Perrot, T. S., Ismail, N., & Parker, J. A. (2024) · Microorganisms · doi:10.3390/microorganisms12040634 · Cited by 57 · see citing works
Modern microbiology: Embracing complexity through integration across scales
Eren, A. M., & Banfield, J. F. (2024) · Cell · doi:10.1016/j.cell.2024.08.028 · Cited by 55 · see citing works
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 · see citing works
Jiang, X., Peng, Z., & Zhang, J. (2024) · Food Research International · doi:10.1016/j.foodres.2024.114557 · Cited by 48 · see citing works
HiBC: a publicly available collection of bacterial strains isolated from the human gut
Hitch, T. C. A., Masson, J. M., Pauvert, C., Bosch, J., Nüchtern, S., Treichel, N. S., Baloh, M., Razavi, S., Afrizal, A., Kousetzi, N., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-59229-9 · Cited by 46 · see citing works
Zhang, J., Wu, J., Barabash, A., Du, T., Qiu, S., Corre, V. M. L., Zhao, Y., Zhang, K., Schmitt, F., Peng, Z., et al. (2024) · Energy & Environmental Science · doi:10.1039/d4ee01432d · Cited by 45 · see citing works
Human microbiome acquisition and transmission
Heidrich, V., Valles‐Colomer, M., & Segata, N. (2025) · Nature Reviews Microbiology · doi:10.1038/s41579-025-01166-x · Cited by 45 · see citing works
Isolation and Cultivation of Human Gut Microorganisms: A Review
Wan, X., Yang, Q., Wang, X., Bai, Y., & Liu, Z. (2023) · Microorganisms · doi:10.3390/microorganisms11041080 · Cited by 40 · see citing works
Han, J.-R., Li, S., Li, W., & Dong, L. H. (2024) · Advanced Biotechnology · doi:10.1007/s44307-024-00034-8 · Cited by 40 · see citing works
Pharmacomicrobiomics: The Role of the Gut Microbiome in Immunomodulation and Cancer Therapy
Bolte, L. A., Björk, J. R., Gaćeša, R., & Weersma, R. K. (2025) · Gastroenterology · doi:10.1053/j.gastro.2025.04.025 · Cited by 39 · see citing works
Precise probiotic therapy: Advances, bottlenecks, and the road to microbiome-informed nutrition
Jiang, Y., Jiang, S., Wang, Z., Zhu, P., Zhang, J., Teng, F., & Huang, S. (2026) · Gut Microbes · doi:10.1080/19490976.2026.2623359 · Cited by 39 · see citing works
Data-driven synthetic microbes for sustainable future
Mariam, I., Rova, U., Christakopoulos, P., Μάτσακας, Λ., & Patel, A. (2025) · npj Systems Biology and Applications · doi:10.1038/s41540-025-00556-4 · Cited by 39 · see citing works
A metagenomic catalogue of the ruminant gut archaeome
Mi, J., Jing, X., Ma, C., Shi, F., Cao, Z., Yang, X., Yang, Y., Kakade, A., Wang, W., & Long, R. (2024) · Nature Communications · doi:10.1038/s41467-024-54025-3 · Cited by 37 · see citing works
Directional long-distance electron transfer from reduced to oxidized zones in the subsurface
Zhang, Y., Tong, M., Lu, Y., Zhao, F., Zhang, P., Wan, Z., Li, P., Yuan, S., Wang, Y., & Kappler, A. A. (2024) · Nature Communications · doi:10.1038/s41467-024-50974-x · Cited by 36 · see citing works
Lee, S., Park, J. S., Hong, J. H., Woo, H., Lee, C., Yoon, D. S., Lee, K.-B., Chung, S. H., Yoon, D. S., & Lee, J. H. (2025) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2025.117399 · Cited by 36 · see citing works
Metagenomic editing of commensal bacteria in vivo using CRISPR-associated transposases
Gelsinger, D. R., Ronda, C., Ma, J., Kar, O. B., Edwards, M., Huang, Y., Mavros, C. F., Sun, Y., Perdue, T., Vo, P. L. H., et al. (2025) · Science · doi:10.1126/science.adx7604 · Cited by 36 · see citing works
Self-citationBahitham, W., Banoun, Y., Aljahdali, M., Almuaiqly, G., Bahshwan, S. M., Aljahdali, L., Sanai, F. M., Rosado, A. S., & Sergi, C. M. (2025) · Frontiers in Nutrition · doi:10.3389/fnut.2025.1637071 · Cited by 35 · see citing works
Extremozymes: Challenges and opportunities on the road to novel enzymes production
Salas-Bruggink, D. I. J., Martín, J. S.-S., Leiva, G., & Blamey, J. M. (2024) · Process Biochemistry · doi:10.1016/j.procbio.2024.04.035 · Cited by 33 · see citing works
Turpin, W., Lee, S.-H., & Croitoru, K. (2025) · Gastroenterology · doi:10.1053/j.gastro.2025.01.004 · Cited by 33 · see citing works
Caminero, A., Tropini, C., Valles‐Colomer, M., Shung, D. L., Gibbons, S. M., Surette, M. G., Sokol, H., Tomeo, N. J., Alenghat, T., Awoniyi, M., et al. (2025) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-025-01100-9 · Cited by 35 · see citing works
Metabolic engineering of human gut microbiome: Recent developments and future perspectives
Li, P., Roos, S., Luo, H., Ji, B., & Nielsen, J. (2023) · Metabolic Engineering · doi:10.1016/j.ymben.2023.06.006 · Cited by 33 · see citing works
Artificial intelligence-powered nanomedicine
Luo, G., 蒋显超, Hu, C., Li, L., Yan, L., Xiao, G., Duo, Y., & Zhang, X. (2026) · Chemical Society Reviews · doi:10.1039/d5cs01406a · Cited by 33 · see citing works
The role of microbiomes in gastrointestinal cancers: new insights
Yarahmadi, A., & Afkhami, H. (2024) · Frontiers in Oncology · doi:10.3389/fonc.2023.1344328 · Cited by 30 · see citing works
Sequencing-guided re-estimation and promotion of cultivability for environmental bacteria
Zheng, M., Wen, L., He, C., Chen, X., Si, L., Li, H., Liang, Y., Zheng, W., & Guo, F. (2024) · Nature Communications · doi:10.1038/s41467-024-53446-4 · Cited by 30 · see citing works
Song, H. S., Kim, Y. B., Kim, J. Y., Roh, S. W., & Whon, T. W. (2024) · Journal of Microbiology and Biotechnology · doi:10.4014/jmb.2311.11024 · Cited by 29 · see citing works
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 29 · see citing works
Keystone species in microbial communities: From discovery to soil heavy metal-remediation
Jiang, G., Ruan, Z., Yin, Y., Hu, C., Tian, L., Lu, J., Wang, S., Tang, Y., Qiu, R., & Chao, Y. (2025) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2025.138753 · Cited by 28 · see citing works
Ngea, G. L. N., Yang, Q., Xu, M., Ianiri, G., Dhanasekaran, S., Zhang, X., Bi, Y., & Zhang, H. (2024) · Comprehensive Reviews in Food Science and Food Safety · doi:10.1111/1541-4337.13397 · Cited by 27 · see citing works
Roots of synthetic ecology: microbes that foster plant resilience in the changing climate
Kozaeva, E., Eida, A. A., Gunady, E. F., Dangl, J. L., Conway, J. M., & Brophy, J. A. N. (2024) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2024.103172 · Cited by 27 · see citing works
Gut microbiome evolution from infancy to 8 years of age
Sawhney, S. S., Thänert, R., Thänert, A., Hall-Moore, C. M., Ndao, I. M., Mahmud, B., Warner, B. B., Tarr, P. I., & Dantas, G. A. (2025) · Nature Medicine · doi:10.1038/s41591-025-03610-0 · Cited by 27 · see citing works
Jiao, J., Abdugheni, R., Zhang, D., Ahmed, I., Ali, M., Chuvochina, M. S., Dedysh, S. N., Dong, X., Göker, M., Hedlund, B. P., et al. (2024) · National Science Review · doi:10.1093/nsr/nwae168 · Cited by 27 · see citing works
Mechanisms of microbial co-aggregation in mixed anaerobic cultures
Doloman, A., & Sousa, D. Z. (2024) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-024-13246-8 · Cited by 26 · see citing works
Microbiota-Focused Dietary Approaches to Support Health: A Systematic Review
Hindle, V., Veasley, N. M., & Holscher, H. D. (2024) · Journal of Nutrition · doi:10.1016/j.tjnut.2024.10.043 · Cited by 26 · see citing works
SAMPL-seq reveals micron-scale spatial hubs in the human gut microbiome
Richardson, M., Zhao, S., Lin, L., Sheth, R. U., Qu, Y., Lee, J., Moody, T. U., Ricaurte, D., Huang, Y., Velez‐Cortes, F., et al. (2025) · Nature Microbiology · doi:10.1038/s41564-024-01914-4 · Cited by 26 · see citing works
Self-citationGlobalizing the health-promoting potential of fermented foods: A culturomics pathway to probiotics
Fentie, E. G., Lim, K., Ebabuye, Y., Azizoğlu, U., & Shin, J. (2025) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2025.105119 · Cited by 24 · see citing works
Statistical prediction of microbial metabolic traits from genomes
Li, Z., Selim, A., & Kuehn, S. (2023) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1011705 · Cited by 24 · see citing works
Emerging chemophysiological diversity of gut microbiota metabolites
Lin, X., He, K., Gu, Z., & Zhao, X. (2024) · Trends in Pharmacological Sciences · doi:10.1016/j.tips.2024.07.006 · Cited by 23 · see citing works
The impact of the human gut microbiome on the treatment of autoimmune disease
Nayak, R. R., & Orellana, D. A. (2024) · Immunological Reviews · doi:10.1111/imr.13358 · Cited by 23 · see citing works
Microbiota in tumors: new factor influencing cancer development
Jiang, H., Li, L., Bao, Y., Cao, X., & Ma, L. (2024) · Cancer Gene Therapy · doi:10.1038/s41417-024-00833-0 · Cited by 23 · see citing works
Qiu, Z. G., Zhu, Y., Zhang, Q., Qiao, X., Mu, R., Xu, Z., Yan, Y., Wang, F., Zhang, T., Zhuang, W., et al. (2023) · Environmental Science and Ecotechnology · doi:10.1016/j.ese.2023.100359 · Cited by 22 · see citing works
A streamlined culturomics case study for the human gut microbiota research
Park, H., Yeo, S., Ryu, C. B., & Huh, C. S. (2024) · Scientific Reports · doi:10.1038/s41598-024-71370-x · Cited by 20 · see citing works
Droplet microfluidics: unveiling the hidden complexity of the human microbiome
Xu, Y., Wang, Z., Li, C., Tian, S., & Du, W. (2025) · Lab on a Chip · doi:10.1039/d4lc00877d · Cited by 20 · see citing works
MicrobiomeStatPlots: Microbiome statistics plotting gallery for meta‐omics and bioinformatics
Bai, D., Ma, C., Xun, J., Luo, H., Yang, H., Lyu, H., Zhu, Z., Gai, A., Yousuf, S., Peng, K., et al. (2025) · iMeta · doi:10.1002/imt2.70002 · Cited by 20 · see citing works
Ordonez, A., Hussain, U., Cambon, M. C., Golyshin, P. N., Downie, J., & McDonald, J. E. (2025) · ISME Communications · doi:10.1093/ismeco/ycaf019 · Cited by 19 · see citing works
Jennings, S. A. V., & Clavel, T. (2023) · Annual Review of Animal Biosciences · doi:10.1146/annurev-animal-021022-025552 · Cited by 19 · see citing works
Emerging tools and best practices for studying gut microbial community metabolism
Noecker, C. A., & Turnbaugh, P. J. (2024) · Nature Metabolism · doi:10.1038/s42255-024-01074-z · Cited by 19 · see citing works
Strategies in engineering sustainable biochemical synthesis through microbial systems
Song, Y., & Prather, K. L. J. (2024) · Current Opinion in Chemical Biology · doi:10.1016/j.cbpa.2024.102493 · Cited by 19 · see citing works
Clavel, T., Faber, F., Groussin, M., Haller, D., Overmann, J., Pauvert, C., Poyet, M., Selkrig, J., Stecher, B., Typas, A., et al. (2025) · Nature Biotechnology · doi:10.1038/s41587-025-02660-6 · Cited by 18 · see citing works
Emerging technologies and current challenges in intratumoral microbiota research
Wang, Z., Zhang, T., & Liu, Y. (2026) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2025.1685862 · Cited by 18 · see citing works
Could the tumor-associated microbiota be the new multi-faceted player in the tumor microenvironment?
Goubet, A. (2023) · Frontiers in Oncology · doi:10.3389/fonc.2023.1185163 · Cited by 18 · see citing works
An optimized culturomics strategy for isolation of human milk microbiota
Wang, F., Yu, L., Ren, Y., Zhang, Q., He, S., Zhao, M., He, Z., Gao, Q., & Chen, J. (2024) · Frontiers in Microbiology · doi:10.3389/fmicb.2024.1272062 · Cited by 18 · see citing works
Singh, C. K., & Sodhi, K. K. (2024) · Critical Reviews in Microbiology · doi:10.1080/1040841x.2024.2429603 · Cited by 18 · see citing works
Human Gut Microbiome Researches Over the Last Decade: Current Challenges and Future Directions
Wu, H., Forslund, S. K., Wang, Z., & Zhao, G. (2023) · Phenomics · doi:10.1007/s43657-023-00131-z · Cited by 18 · see citing works
Engineering microbiomes to enhance macroalgal health, biomass yield, and carbon sequestration
Nair, S., Zhang, Z., Wang, X., Zhang, B., Jiao, N., & Zhang, Y. (2024) · Green Carbon · doi:10.1016/j.greenca.2024.11.001 · Cited by 17 · see citing works
Multi-dimensional metagenomics
Peng, H., Ruiz-Moreno, A. J., & Fu, J. (2025) · Nature Reviews Bioengineering · doi:10.1038/s44222-025-00346-x · Cited by 16 · see citing works
Xu, Y., Shrestha, S., Sun, Q. H., & Wang, Y. (2025) · The ISME Journal · doi:10.1093/ismejo/wrag050 · Cited by 16 · see citing works
Canellas, A. L. B., Abdon, B. B., Diniz, M. N., Alves, G. D. S. O., Lourenço, M. F. D. P., Machado, W., Giambiagi-deMarval, M., de Oliveira, B. F. R., & Laport, M. S. (2023) · Environmental Microbiology · doi:10.1111/1462-2920.16540 · Cited by 16 · see citing works
Alessandri, G., Rizzo, S. M., Mancabelli, L., Fontana, F., Longhi, G., Turroni, F., van Sinderen, D., & Ventura, M. (2024) · Microbial Biotechnology · doi:10.1111/1751-7915.14509 · Cited by 16 · see citing works
Learning ecosystem-scale dynamics from microbiome data with MDSINE2
Gibson, T. E., Kim, Y., Acharya, S., Kaplan, D. E., DiBenedetto, N., Lavin, R., Berger, B., Allegretti, J. R., Bry, L., & Gerber, G. K. (2025) · Nature Microbiology · doi:10.1038/s41564-025-02112-6 · Cited by 15 · see citing works
Culturomics: A critical approach in studying the roles of human and animal microbiota
Howe, S. M., Liu, Z., Zuo, B., & Zhao, J. (2024) · Animal Nutriomics · doi:10.1017/anr.2024.6 · Cited by 15 · see citing works
Culture-based characterization of gut microbiota in inflammatory bowel disease
Park, H., Yeo, S., Lee, T., Han, Y., Ryu, C. B., & Huh, C. S. (2025) · Frontiers in Microbiology · doi:10.3389/fmicb.2025.1538620 · Cited by 14 · see citing works
Mkilima, T. (2025) · Microbial Pathogenesis · doi:10.1016/j.micpath.2025.107931 · Cited by 14 · see citing works
New approaches to secondary metabolite discovery from anaerobic gut microbes
Butkovich, L. V., Vining, O. B., & O'Malley, M. A. (2025) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-024-13393-y · Cited by 14 · see citing works
Khalaf, W. S., Morgan, R. N., & Elkhatib, W. F. (2025) · Journal of Microbiological Methods · doi:10.1016/j.mimet.2025.107125 · Cited by 14 · see citing works
Complexity of human death: its physiological, transcriptomic, and microbiological implications
Javan, G. T., Singh, K., Finley, S. J., Green, R. L., & Sen, C. K. (2024) · Frontiers in Microbiology · doi:10.3389/fmicb.2023.1345633 · Cited by 13 · see citing works
Application Progress of Culturomics in the Isolated Culture of Rhizobacteria: A Review
Ji, C., Guo, J., Ma, Y., Xu, X., Zang, T., Liu, S., An, Z., Yang, M., He, X., & Zheng, W. (2024) · Journal of Agricultural and Food Chemistry · doi:10.1021/acs.jafc.3c08885 · Cited by 13 · see citing works
Chaturvedi, N., Yadav, M. K., & Sharma, M. (2024) · Methods in microbiology · doi:10.1016/bs.mim.2024.05.013 · Cited by 13 · see citing works
Plomp, N., Liu, L., Walters, L., Bus‐Spoor, C., Khan, M., Sheridan, P. O., Veloo, A. C. M., Walker, A. W., Harmsen, H. J. M., & Tsompanidou, E. (2017) · Beneficial Microbes · doi:10.1163/18762891-bja00042 · Cited by 14 · see citing works
Gallart, M., Dow, L., Nowak, V. V., Belt, K., Sabburg, R., Gardiner, D. M., & Thatcher, L. F. (2024) · Microbiological Research · doi:10.1016/j.micres.2024.128032 · Cited by 13 · see citing works
Microbiome engineering to palliate microbial dysbiosis occurring in agroecosystems
Darriaut, R., Roose-Amsaleg, C. L., Vanhove, M., & Monard, C. (2025) · Microbiological Research · doi:10.1016/j.micres.2025.128178 · Cited by 12 · see citing works
Improving the odds: Artificial intelligence and the great plate count anomaly
Sipkema, D. (2024) · Microbial Biotechnology · doi:10.1111/1751-7915.70004 · Cited by 12 · see citing works
Zhao, Z., & Gänzle, M. G. (2025) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2025.105113 · Cited by 12 · see citing works
EBRC: Enhancing bioeconomy through research and communication
Moon, T. S. (2023) · New Biotechnology · doi:10.1016/j.nbt.2023.10.012 · Cited by 12 · see citing works
Biofilms: from the cradle of life to life support
Baxter, K. J., Sas, E., Clark, K. B., Walsh, M., Pradeep, N., Batool, A., Naney, C., Cruz, M. A. V., Kennerdale, N., Das, K., et al. (2026) · npj Biofilms and Microbiomes · doi:10.1038/s41522-025-00875-8 · Cited by 11 · see citing works
Cao, T., Liu, Y., Gao, C., Yuan, Y., Chen, W., & Zhang, T. (2024) · Environmental Science & Technology · doi:10.1021/acs.est.4c05324 · Cited by 11 · see citing works
Integrating the milk microbiome signatures in mastitis: milk-omics and functional implications
Reuben, R. C., & Torres, C. (2025) · World Journal of Microbiology and Biotechnology · doi:10.1007/s11274-024-04242-1 · Cited by 11 · see citing works
Sun, N., Zhang, J., Guo, W., Jin, C., Chen, Y., Gao, D., & Xia, X. (2025) · BMC Microbiology · doi:10.1186/s12866-025-03887-8 · Cited by 11 · see citing works
Hang, S., Wu, C., Peng, G., Li, F., Ge, F., Gan, J., Li, L., & Li, J. (2025) · Applied Soil Ecology · doi:10.1016/j.apsoil.2025.106119 · Cited by 11 · see citing works
Antibiotics and Antimicrobial Resistance Genes in a Gut Microbiota as a Reservoir—A Review
Dabuo, B., Abubakari, A., Sankah, F. E., & Aryee, H. A. (2025) · Advanced Gut & Microbiome Research · doi:10.1155/agm3/6574751 · Cited by 11 · see citing works
Engelberts, J. P., Ye, J., Parks, D. H., McMaster, E. S., McInnes, A. S., Woodcroft, B. J., Volmer, J. G., McIlroy, S. J., & Tyson, G. W. (2025) · The ISME Journal · doi:10.1093/ismejo/wraf138 · Cited by 11 · see citing works
Tepekule, B., Lim, A. I., & Metcalf, C. J. E. (2025) · PLoS Biology · doi:10.1371/journal.pbio.3003263 · Cited by 11 · see citing works
Bustos-Caparros, E., Viver, T., Gago, J. F., Venter, S. N., Bosch, R., Konstantinidis, K. T., Rodriguez‐R, L. M., & Rossello-Mora, R. A. (2025) · ISME Communications · doi:10.1093/ismeco/ycaf228 · Cited by 11 · see citing works
- Authors
- Huang, Y., Sheth, R. U., Zhao, S., Cohen, L. A., Dabaghi, K., Moody, T., Sun, Y., Ricaurte, D., Richardson, M., Velez-Cortes, F., Blazejewski, T., Kaufman, A., Ronda, C., & Wang, H. H.
- Affiliations
- Columbia University (US)
- Corresponding author
- Wang, Harris H.
- ORCID
- Venue
- Nature Biotechnology
- Published
- 2023-02-20
- Volume
- 41
- Issue
- 10
- Pages
- 1424-1433
- ISSN
- 0733-222X (ISSN-L)
- 1087-0156
- 1546-1696
- PMC
- PMC10567565
- OpenAlex
- W4321369770
- Cited by
- 283
- References
- 63
- Citations by year
- 2026: 95 · 2025: 94 · 2024: 62 · 2023: 29 · 2017: 1 · 2014: 1
- FWCI
- 24.73
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Nature Biotechnology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- National Science Foundation (MCB-2025515, DGE-1644869)
- U.S. Department of Health & Human Services | National Institutes of Health (1R01AI132403, 1R21AI146817, T32GM007367)
- United States Department of Defense | United States Navy | Office of Naval Research (N00014-18-1-2237, N00014-17-1-2353)
- Burroughs Wellcome Fund (1016691)
- Irma T. Hirschl Trust (NA)
- Schaefer Research Award
- Hertz Foundation (NA)
- Junior Fellows Scholarship from the Simons Society of Fellows
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Clinical Biochemistry › Bacterial Identification and Susceptibility Testing
- Keywords
- culturomics, colony morphology, fecal microbiota, microbial co-culture, Ruminococcaceae, Bacteroidaceae, Coriobacteriaceae, Bifidobacteriaceae, strain evolution, horizontal gene transfer
- MeSH terms
- Machine Learning, Automation, Bacteria, Humans, Genomics, 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