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Greengenes, a Chimera-Checked 16S rRNA Gene Database and Workbench Compatible with ARB
Open accessAbstract
A 16S rRNA gene database ( http://greengenes.lbl.gov ) addresses limitations of public repositories by providing chimera screening, standard alignment, and taxonomic classification using multiple published taxonomies. It was found that there is incongruent taxonomic nomenclature among curators even at the phylum level. Putative chimeras were identified in 3% of environmental sequences and in 0.2% of records derived from isolates. Environmental sequences were classified into 100 phylum-level lineages in the Archaea and Bacteria .
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Basic local alignment search tool
Altschul, S. F., Gish, W., Miller, W., Myers, E. W., & Lipman, D. J. (1990) · Journal of Molecular Biology · doi:10.1006/jmbi.1990.9999 · Cited by 98,669
Thompson, J. (1997) · Nucleic Acids Research · doi:10.1093/nar/25.24.4876 · Cited by 38,685
Vandesompele, J., De Preter, K., Pattyn, F., Poppe, B., Van Roy, N., De Paepe, A., & Speleman, F. (2002) · Genome Biology · doi:10.1186/gb-2002-3-7-research0034 · Cited by 20,038
PHYLIP-Phylogeny inference package (Version 3.2)
Felsenstein, J. (1989) · Cladistics · Cited by 17,682
MEGA3: Integrated software for Molecular Evolutionary Genetics Analysis and sequence alignment
Kumar, S. (2004) · Briefings in Bioinformatics · doi:10.1093/bib/5.2.150 · Cited by 11,674
ARB: a software environment for sequence data
Ludwig, W. (2004) · Nucleic Acids Research · doi:10.1093/nar/gkh293 · Cited by 6,714
PHYLIP ( PHYLogeny Inference Package)
Cummings, M. P. (2004) · Dictionary of Bioinformatics and Computational Biology · doi:10.1002/9780471650126.dob0534.pub2 · Cited by 3,127
A Molecular View of Microbial Diversity and the Biosphere
Pace, N. R. (1997) · Science · doi:10.1126/science.276.5313.734 · Cited by 2,793
The RDP (Ribosomal Database Project)
Maidak, B. L., Olsen, G. J., Larsen, N. E., Overbeek, R., McCaughey, M. J., & Woese, C. R. (1997) · Nucleic Acids Research · doi:10.1093/nar/25.1.109 · Cited by 2,018
Self-citationThe Jalview Java alignment editor
Clamp, M. E., Cuff, J. A., Searle, S. M. J., & Barton, G. J. (2004) · Bioinformatics · doi:10.1093/bioinformatics/btg430 · Cited by 1,578
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Items 101–200 of 269
Sex-specific effects of microbiome perturbations on cerebral Aβ amyloidosis and microglia phenotypes
Dodiya, H. B., Kuntz, T., Shaik, S. M., Baufeld, C., Leibowitz, J., Zhang, X., Gottel, N., Zhang, X., Butovsky, O., Gilbert, J. A., et al. (2019) · Journal of Experimental Medicine · doi:10.1084/jem.20182386 · Cited by 288
Exercise induction of gut microbiota modifications in obese, non-obese and hypertensive rats
Petriz, B. A., Castro, A. P., Almeida, J. A., Gomes, C. P., Fernandes, G. R., Kruger, R. H., Pereira, R. W., & Franco, O. L. (2014) · BMC Genomics · doi:10.1186/1471-2164-15-511 · Cited by 293
Xie, G., Zhou, Q., Qiu, C.-Z., Dai, W.-K., Wang, H.-P., Li, Y.-H., Liao, J.-X., Lu, X.-G., Lin, S.-F., Ye, J.-H., et al. (2017) · World Journal of Gastroenterology · doi:10.3748/wjg.v23.i33.6164 · Cited by 291
Relating the gut metagenome and metatranscriptome to immunotherapy responses in melanoma patients
Peters, B. A., Wilson, M., Moran, U., Pavlick, A., Izsak, A., Wechter, T., Weber, J. S., Osman, I., & Ahn, J. (2019) · Genome Medicine · doi:10.1186/s13073-019-0672-4 · Cited by 263
Gomez-Arango, L. F., Barrett, H. L., McIntyre, H. D., Callaway, L. K., Morrison, M., & Dekker Nitert, M. (2016) · Diabetes · doi:10.2337/db16-0278 · Cited by 287
Mapping the Tree of Life: Progress and Prospects
Pace, N. R. (2009) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.00033-09 · Cited by 286
Forbes, J. D., Azad, M. B., Vehling, L., Tun, H. M., Konya, T. B., Guttman, D. S., Field, C. J., Lefebvre, D., Sears, M. R., Becker, A. B., et al. (2018) · JAMA Pediatrics · doi:10.1001/jamapediatrics.2018.1161 · Cited by 285
Incorporation of therapeutically modified bacteria into gut microbiota inhibits obesity
Chen, Z., Guo, L., Zhang, Y., L. Walzem, R., Pendergast, J. S., Printz, R. L., Morris, L. C., Matafonova, E., Stien, X., Kang, L., et al. (2014) · Journal of Clinical Investigation · doi:10.1172/jci72517 · Cited by 277
De Filippo, C., Di Paola, M., Ramazzotti, M., Albanese, D., Pieraccini, G., Banci, E., Miglietta, F., Cavalieri, D., & Lionetti, P. (2017) · Frontiers in Microbiology · doi:10.3389/fmicb.2017.01979 · Cited by 270
Gut Microbiota Features in Young Children With Autism Spectrum Disorders
Coretti, L., Paparo, L., Riccio, M. P., Amato, F., Cuomo, M., Natale, A., Borrelli, L., Corrado, G., De Caro, C., Comegna, M., et al. (2018) · Frontiers in Microbiology · doi:10.3389/fmicb.2018.03146 · Cited by 266
Alegado, R. A., Brown, L. W., Cao, S., Dermenjian, R. K., Zuzow, R., Fairclough, S. R., Clardy, J., & King, N. (2012) · eLife · doi:10.7554/elife.00013 · Cited by 249
Healey, G., Murphy, R., Butts, C., Brough, L., Whelan, K., & Coad, J. (2018) · British Journal Of Nutrition · doi:10.1017/s0007114517003440 · Cited by 267
Bauer, P. V., Duca, F. A., Waise, T. M. Z., Rasmussen, B. A., Abraham, M. A., Dranse, H. J., Puri, A., O’Brien, C. A., & Lam, T. K. T. (2018) · Cell Metabolism · doi:10.1016/j.cmet.2017.09.019 · Cited by 265
Photoferrotrophs thrive in an Archean Ocean analogue
Crowe, S. A., Jones, C., Katsev, S., Magen, C., O'Neill, A. H., Sturm, A., Canfield, D. E., Haffner, G. D., Mucci, A., Sundby, B., et al. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0805313105 · Cited by 264
Bikel, S., Valdez-Lara, A., Cornejo-Granados, F., Rico, K., Canizales-Quinteros, S., Soberón, X., Del Pozo-Yauner, L., & Ochoa-Leyva, A. (2015) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2015.06.001 · Cited by 263
Yildiz, S., Mazel-Sanchez, B., Kandasamy, M., Manicassamy, B., & Schmolke, M. (2018) · Microbiome · doi:10.1186/s40168-017-0386-z · Cited by 264
Borrelli, L., Coretti, L., Dipineto, L., Bovera, F., Menna, F., Chiariotti, L., Nizza, A., Lembo, F., & Fioretti, A. (2017) · Scientific Reports · doi:10.1038/s41598-017-16560-6 · Cited by 263
Denou, E., Marcinko, K., Surette, M. G., Steinberg, G. R., & Schertzer, J. D. (2016) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00537.2015 · Cited by 260
Chahwan, B., Kwan, S., Isik, A., van Hemert, S., Burke, C., & Roberts, L. (2019) · Journal of Affective Disorders · doi:10.1016/j.jad.2019.04.097 · Cited by 256
Sanctuary, M. R., Kain, J. N., Chen, S. Y., Kalanetra, K., Lemay, D. G., Rose, D. R., Yang, H. T., Tancredi, D. J., German, J. B., Slupsky, C. M., et al. (2019) · PLOS ONE · doi:10.1371/journal.pone.0210064 · Cited by 255
Weber, D., Jenq, R. R., Peled, J. U., Taur, Y., Hiergeist, A., Koestler, J., Dettmer, K., Weber, M., Wolff, D., Hahn, J., et al. (2017) · Biology of Blood and Marrow Transplantation · doi:10.1016/j.bbmt.2017.02.006 · Cited by 245
Kohl, K. D., Amaya, J., Passement, C. A., Dearing, M. D., & McCue, M. D. (2014) · FEMS Microbiology Ecology · doi:10.1111/1574-6941.12442 · Cited by 249
Guan, H., Yan, Y., Li, X., Li, X., Shuai, Y., Feng, G., Ran, Q., Cai, Y., Li, Y., & Zhang, X. (2018) · Bioresource Technology · doi:10.1016/j.biortech.2018.06.018 · Cited by 249
Reber, S. O., Siebler, P. H., Donner, N. C., Morton, J. T., Smith, D. G., Kopelman, J. M., Lowe, K. R., Wheeler, K. J., Fox, J. H., Hassell, J. E., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1600324113 · Cited by 233
Menni, C., Zierer, J., Pallister, T., Jackson, M. A., Long, T., Mohney, R. P., Steves, C. J., Spector, T. D., & Valdes, A. M. (2017) · Scientific Reports · doi:10.1038/s41598-017-10382-2 · Cited by 237
Stearns, J. C., Davidson, C. J., McKeon, S., Whelan, F. J., Fontes, M. E., Schryvers, A. B., Bowdish, D. M. E., Kellner, J. D., & Surette, M. G. (2015) · The ISME Journal · doi:10.1038/ismej.2014.250 · Cited by 234
The methane cycle in ferruginous Lake Matano
CROWE, S. A., KATSEV, S., LESLIE, K., STURM, A., MAGEN, C., NOMOSATRYO, S., PACK, M. A., KESSLER, J. D., REEBURGH, W. S., ROBERTS, J. A., et al. (2011) · Geobiology · doi:10.1111/j.1472-4669.2010.00257.x · Cited by 217
Ferrario, C., Taverniti, V., Milani, C., Fiore, W., Laureati, M., De Noni, I., Stuknyte, M., Chouaia, B., Riso, P., & Guglielmetti, S. (2014) · The Journal of Nutrition · doi:10.3945/jn.114.197723 · Cited by 228
Distinctly altered gut microbiota in the progression of liver disease
Xie, G., Wang, X., Liu, P., Wei, R., Chen, W., Rajani, C., Hernandez, B. Y., Alegado, R., Dong, B., Li, D., et al. (2016) · Oncotarget · doi:10.18632/oncotarget.8466 · Cited by 219
Microbial Communities of the Upper Respiratory Tract and Otitis Media in Children
Laufer, A. S., Metlay, J. P., Gent, J. F., Fennie, K. P., Kong, Y., & Pettigrew, M. M. (2011) · mBio · doi:10.1128/mbio.00245-10 · Cited by 224
Li, R., Tun, H. M., Jahan, M., Zhang, Z., Kumar, A., Dilantha Fernando, W. G., Farenhorst, A., & Khafipour, E. (2017) · Scientific Reports · doi:10.1038/s41598-017-02516-3 · Cited by 203
Microbiome profiling reveals gut dysbiosis in a transgenic mouse model of Huntington's disease
Kong, G., Cao, K.-A. L., Judd, L. M., Li, S., Renoir, T., & Hannan, A. J. (2020) · Neurobiology of Disease · doi:10.1016/j.nbd.2018.09.001 · Cited by 212
Effects of the Antimicrobial Sulfamethoxazole on Groundwater Bacterial Enrichment
Underwood, J. C., Harvey, R. W., Metge, D. W., Repert, D. A., Baumgartner, L. K., Smith, R. L., Roane, T. M., & Barber, L. B. (2011) · Environmental Science & Technology · doi:10.1021/es103605e · Cited by 217
Race-dependent association of sulfidogenic bacteria with colorectal cancer
Yazici, C., Wolf, P. G., Kim, H., Cross, T.-W. L., Vermillion, K., Carroll, T., Augustus, G. J., Mutlu, E., Tussing-Humphreys, L., Braunschweig, C., et al. (2017) · Gut · doi:10.1136/gutjnl-2016-313321 · Cited by 215
Dysbiosis of microbiome and probiotic treatment in a genetic model of autism spectrum disorders
Tabouy, L., Getselter, D., Ziv, O., Karpuj, M., Tabouy, T., Lukic, I., Maayouf, R., Werbner, N., Ben-Amram, H., Nuriel-Ohayon, M., et al. (2018) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2018.05.015 · Cited by 214
Rocca, J. D., Simonin, M., Blaszczak, J. R., Ernakovich, J. G., Gibbons, S. M., Midani, F. S., & Washburne, A. D. (2019) · Frontiers in Microbiology · doi:10.3389/fmicb.2018.03272 · Cited by 213
Botticelli, A., Vernocchi, P., Marini, F., Quagliariello, A., Cerbelli, B., Reddel, S., Del Chierico, F., Di Pietro, F., Giusti, R., Tomassini, A., et al. (2020) · Journal of Translational Medicine · doi:10.1186/s12967-020-02231-0 · Cited by 209
Sung, M. M., Kim, T. T., Denou, E., Soltys, C.-L. M., Hamza, S. M., Byrne, N. J., Masson, G., Park, H., Wishart, D. S., Madsen, K. L., et al. (2017) · Diabetes · doi:10.2337/db16-0680 · Cited by 204
The microbiome in posttraumatic stress disorder and trauma-exposed controls: an exploratory study
Hemmings, S. M. J., Malan-Müller, S., van den Heuvel, L. L., Demmitt, B. A., Stanislawski, M. A., Smith, D. G., Bohr, A. D., Stamper, C. E., Hyde, E. R., Morton, J. T., et al. (2017) · Psychosomatic Medicine · doi:10.1097/psy.0000000000000512 · Cited by 208
Bjørkhaug, S. T., Aanes, H., Neupane, S. P., Bramness, J. G., Malvik, S., Henriksen, C., Skar, V., Medhus, A. W., & Valeur, J. (2019) · Gut Microbes · doi:10.1080/19490976.2019.1580097 · Cited by 205
Dey, N., Wagner, V. E., Blanton, L. V., Cheng, J., Fontana, L., Haque, R., Ahmed, T., & Gordon, J. I. (2015) · Cell · doi:10.1016/j.cell.2015.08.059 · Cited by 195
The Loss of Topography in the Microbial Communities of the Upper Respiratory Tract in the Elderly
Whelan, F. J., Verschoor, C. P., Stearns, J. C., Rossi, L., Luinstra, K., Loeb, M., Smieja, M., Johnstone, J., Surette, M. G., & Bowdish, D. M. E. (2014) · Annals of the American Thoracic Society · doi:10.1513/annalsats.201310-351oc · Cited by 205
Lewis, B. B., Buffie, C. G., Carter, R. A., Leiner, I., Toussaint, N. C., Miller, L. C., Gobourne, A., Ling, L., & Pamer, E. G. (2015) · Journal of Infectious Diseases · doi:10.1093/infdis/jiv256 · Cited by 197
Gohir, W., Whelan, F. J., Surette, M. G., Moore, C., Schertzer, J. D., & Sloboda, D. M. (2015) · Gut Microbes · doi:10.1080/19490976.2015.1086056 · Cited by 203
Rintala, A., Pietilä, S., Munukka, E., Eerola, E., Pursiheimo, J.-P., Laiho, A., Pekkala, S., & Huovinen, P. (2017) · Journal of Biomolecular Techniques : JBT · doi:10.7171/jbt.17-2801-003 · Cited by 194
Zhou, Z.-L., Jia, X.-B., Sun, M.-F., Zhu, Y.-L., Qiao, C.-M., Zhang, B.-P., Zhao, L.-P., Yang, Q., Cui, C., Chen, X., et al. (2019) · Neurotherapeutics · doi:10.1007/s13311-019-00719-2 · Cited by 195
Kump, P., Wurm, P., Gröchenig, H. P., Wenzl, H., Petritsch, W., Halwachs, B., Wagner, M., Stadlbauer, V., Eherer, A., Hoffmann, K. M., et al. (2018) · Alimentary Pharmacology & Therapeutics · doi:10.1111/apt.14387 · Cited by 196
Gut microbial dysbiosis in indian children with autism spectrum disorders
Pulikkan, J., Maji, A., Dhakan, D. B., Saxena, R., Mohan, B., Anto, M. M., Agarwal, N., Grace, T., & Sharma, V. K. (2018) · Microbial Ecology · doi:10.1007/s00248-018-1176-2 · Cited by 189
Impact of next generation sequencing techniques in food microbiology.
Mayo, B., Rachid, C., Alegria, A., Leite, A., Peixoto, R., & Delgado, S. (2014) · Current Genomics · doi:10.2174/1389202915666140616233211 · Cited by 188
The Microbiome in Lung Cancer Tissue and Recurrence-Free Survival
Peters, B. A., Hayes, R. B., Goparaju, C., Reid, C., Pass, H. I., & Ahn, J. (2019) · Cancer Epidemiology, Biomarkers & Prevention · doi:10.1158/1055-9965.epi-18-0966 · Cited by 180
Early-Life Formation of the Microbial and Immunological Environment of the Human Airways
Pattaroni, C., Watzenboeck, M. L., Schneidegger, S., Kieser, S., Wong, N. C., Bernasconi, E., Pernot, J., Mercier, L., Knapp, S., Nicod, L. P., et al. (2018) · Cell Host & Microbe · doi:10.1016/j.chom.2018.10.019 · Cited by 183
Patterns of Oral Microbiota Diversity in Adults and Children: A Crowdsourced Population Study
Burcham, Z. M., Garneau, N. L., Comstock, S. S., Tucker, R. M., Knight, R., Metcalf, J. L., Scientists, G. O. T. L. C., Miranda, A., Reinhart, B., Meyers, D., et al. (2020) · Scientific Reports · doi:10.1038/s41598-020-59016-0 · Cited by 183
Characterizing the microbiota across the gastrointestinal tract of a Brazilian Nelore steer
de Oliveira, M. N. V., Jewell, K. A., Freitas, F. S., Benjamin, L. A., Tótola, M. R., Borges, A. C., Moraes, C. A., & Suen, G. (2013) · Veterinary Microbiology · doi:10.1016/j.vetmic.2013.02.013 · Cited by 184
Liu, Z., Chen, Z., Guo, H., He, D., Zhao, H., Wang, Z., Zhang, W., Liao, L., Zhang, C., & Ni, L. (2016) · Food & Function · doi:10.1039/c6fo01439a · Cited by 185
Microbiota Promotes Chronic Pulmonary Inflammation by Enhancing IL-17A and Autoantibodies
Yadava, K., Pattaroni, C., Sichelstiel, A. K., Trompette, A., Gollwitzer, E. S., Salami, O., von Garnier, C., Nicod, L. P., & Marsland, B. J. (2016) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201504-0779oc · Cited by 184
A comprehensive analysis of breast cancer microbiota and host gene expression
Thompson, K. J., Ingle, J. N., Tang, X., Chia, N., Jeraldo, P. R., Walther-Antonio, M. R., Kandimalla, K. K., Johnson, S., Yao, J. Z., Harrington, S. C., et al. (2017) · PLOS ONE · doi:10.1371/journal.pone.0188873 · Cited by 183
Flanagan, J. L., Brodie, E. L., Weng, L., Lynch, S. V., Garcia, O., Brown, R., Hugenholtz, P., DeSantis, T. Z., Andersen, G. L., Wiener-Kronish, J. P., et al. (2007) · Journal of Clinical Microbiology · doi:10.1128/jcm.02187-06 · Cited by 180
Self-citationCoretti, L., Cristiano, C., Florio, E., Scala, G., Lama, A., Keller, S., Cuomo, M., Russo, R., Pero, R., Paciello, O., et al. (2017) · Scientific Reports · doi:10.1038/srep45356 · Cited by 175
Hald, S., Schioldan, A. G., Moore, M. E., Dige, A., Lærke, H. N., Agnholt, J., Bach Knudsen, K. E., Hermansen, K., Marco, M. L., Gregersen, S., et al. (2016) · PLoS ONE · doi:10.1371/journal.pone.0159223 · Cited by 180
“The open-reference OTU picking strategy in QIIME was used to select operational taxonomic units (OTUs) with 97% sequence identity to sequences in Greengenes (release 13_8) database[42] and to each other, according to the UCLUST algorithm.”
Maharshak, N., Packey, C. D., Ellermann, M., Manick, S., Siddle, J. P., Huh, E. Y., Plevy, S., Sartor, R. B., & Carroll, I. M. (2013) · Gut Microbes · doi:10.4161/gmic.25486 · Cited by 174
Roque, B. M., Brooke, C. G., Ladau, J., Polley, T., Marsh, L. J., Najafi, N., Pandey, P., Singh, L., Kinley, R., Salwen, J. K., et al. (2019) · Animal Microbiome · doi:10.1186/s42523-019-0004-4 · Cited by 166
Gomez-Arango, L. F., Barrett, H. L., McIntyre, H. D., Callaway, L. K., Morrison, M., & Nitert, M. D. (2017) · Scientific Reports · doi:10.1038/s41598-017-03066-4 · Cited by 168
Toubal, A., Kiaf, B., Beaudoin, L., Cagninacci, L., Rhimi, M., Fruchet, B., da Silva, J., Corbett, A. J., Simoni, Y., Lantz, O., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-17307-0 · Cited by 165
Distinct flavobacterial communities in contrasting water masses of the North Atlantic Ocean
Gómez-Pereira, P. R., Fuchs, B. M., Alonso, C., Oliver, M. J., van Beusekom, J. E. E., & Amann, R. (2010) · The ISME Journal · doi:10.1038/ismej.2009.142 · Cited by 165
Seto, C. T., Jeraldo, P., Orenstein, R., Chia, N., & DiBaise, J. K. (2014) · Microbiome · doi:10.1186/2049-2618-2-42 · Cited by 163
Flygare, S., Simmon, K., Miller, C., Qiao, Y., Kennedy, B., Di Sera, T., Graf, E. H., Tardif, K. D., Kapusta, A., Rynearson, S., et al. (2016) · Genome Biology · doi:10.1186/s13059-016-0969-1 · Cited by 164
Javurek, A. B., Spollen, W. G., Johnson, S. A., Bivens, N. J., Bromert, K. H., Givan, S. A., & Rosenfeld, C. S. (2016) · Gut Microbes · doi:10.1080/19490976.2016.1234657 · Cited by 160
CowPI: a rumen microbiome focussed version of the PICRUSt functional inference software
Wilkinson, T. J., Huws, S. A., Edwards, J. E., Kingston-Smith, A. H., Siu-Ting, K., Hughes, M., Rubino, F., Friedersdorff, M., & Creevey, C. J. (2018) · Frontiers in Microbiology · doi:10.3389/fmicb.2018.01095 · Cited by 160
A clinician's guide to microbiome analysis
Claesson, M. J., Clooney, A. G., & O'Toole, P. W. (2017) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/nrgastro.2017.97 · Cited by 153
Microbiota and cancer immunotherapy: in search of microbial signals
Gharaibeh, R. Z., & Jobin, C. (2019) · Gut · doi:10.1136/gutjnl-2018-317220 · Cited by 144
Li, Q., Lauber, C. L., Czarnecki-Maulden, G., Pan, Y., & Hannah, S. S. (2017) · mBio · doi:10.1128/mbio.01703-16 · Cited by 148
Gut microbiota composition is associated with temperament traits in infants
Aatsinki, A.-K., Lahti, L., Uusitupa, H.-M., Munukka, E., Keskitalo, A., Nolvi, S., O'Mahony, S., Pietilä, S., Elo, L. L., Eerola, E., et al. (2019) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2019.05.035 · Cited by 148
Altered gut microbiota associated with symptom severity in schizophrenia
Li, S., Zhuo, M., Huang, X., Huang, Y., Zhou, J., Xiong, D., Li, J., Liu, Y., Pan, Z., Li, H., et al. (2020) · PeerJ · doi:10.7717/peerj.9574 · Cited by 142
Zheng, M. L., Niu, D. Z., Jiang, D., Zuo, S. S., & Xu, C. C. (2017) · Journal of Applied Microbiology · doi:10.1111/jam.13456 · Cited by 147
Alderete, T. L., Jones, R. B., Chen, Z., Kim, J. S., Habre, R., Lurmann, F., Gilliland, F. D., & Goran, M. I. (2018) · Environmental Research · doi:10.1016/j.envres.2017.11.046 · Cited by 139
Bahr, S. M., Weidemann, B. J., Castro, A. N., Walsh, J. W., deLeon, O., Burnett, C. M. L., Pearson, N. A., Murry, D. J., Grobe, J. L., & Kirby, J. R. (2015) · EBioMedicine · doi:10.1016/j.ebiom.2015.10.018 · Cited by 143
Duniere, L., Xu, S., Long, J., Elekwachi, C., Wang, Y., Turkington, K., Forster, R., & McAllister, T. A. (2017) · BMC Microbiology · doi:10.1186/s12866-017-0947-0 · Cited by 138
Ma, W., Song, J., Wang, H., Shi, F., Zhou, N., Jiang, J., Xu, Y., Zhang, L., Yang, L., & Zhou, M. (2019) · Life Sciences · doi:10.1016/j.lfs.2019.04.006 · Cited by 134
Hintze, K. J., Cox, J. E., Rompato, G., Benninghoff, A. D., Ward, R. E., Broadbent, J., & Lefevre, M. (2014) · Gut Microbes · doi:10.4161/gmic.28403 · Cited by 135
Sex-specific association between gut microbiome and fat distribution
Min, Y., Ma, X., Sankaran, K., Ru, Y., Chen, L., Baiocchi, M., & Zhu, S. (2019) · Nature Communications · doi:10.1038/s41467-019-10440-5 · Cited by 133
Prasai, T. P., Walsh, K. B., Bhattarai, S. P., Midmore, D. J., Van, T. T. H., Moore, R. J., & Stanley, D. (2016) · PLOS ONE · doi:10.1371/journal.pone.0154061 · Cited by 129
Fecal microbiota variation across the lifespan of the healthy laboratory rat
Flemer, B., Gaci, N., Borrel, G., Sanderson, I. R., Chaudhary, P. P., Tottey, W., O'Toole, P. W., & Brugère, J.-F. (2017) · Gut Microbes · doi:10.1080/19490976.2017.1334033 · Cited by 128
Spichak, S., Bastiaanssen, T. F. S., Berding, K., Vlckova, K., Clarke, G., Dinan, T. G., & Cryan, J. F. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.02.044 · Cited by 127
Kostovcikova, K., Coufal, S., Galanova, N., Fajstova, A., Hudcovic, T., Kostovcik, M., Prochazkova, P., Jiraskova Zakostelska, Z., Cermakova, M., Sediva, B., et al. (2019) · Frontiers in Immunology · doi:10.3389/fimmu.2019.00919 · Cited by 126
Vildagliptin increases butyrate-producing bacteria in the gut of diabetic rats
Zhang, Q., Xiao, X., Li, M., Yu, M., Ping, F., Zheng, J., Wang, T., & Wang, X. (2017) · PLOS ONE · doi:10.1371/journal.pone.0184735 · Cited by 124
Klimenko, N. S., Tyakht, A. V., Popenko, A. S., Vasiliev, A. S., Altukhov, I. A., Ischenko, D. S., Shashkova, T. I., Efimova, D. A., Nikogosov, D. A., Osipenko, D. A., et al. (2018) · Nutrients · doi:10.3390/nu10050576 · Cited by 123
Characterization of the nasopharyngeal microbiota in health and during rhinovirus challenge
Allen, E. K., Koeppel, A. F., Hendley, J. O., Turner, S. D., Winther, B., & Sale, M. M. (2014) · Microbiome · doi:10.1186/2049-2618-2-22 · Cited by 118
Kabbani, T. A., Pallav, K., Dowd, S. E., Villafuerte-Galvez, J., Vanga, R. R., Castillo, N. E., Hansen, J., Dennis, M., Leffler, D. A., & Kelly, C. P. (2017) · Gut Microbes · doi:10.1080/19490976.2016.1267890 · Cited by 115
Shulman, R. J., Hollister, E. B., Cain, K., Czyzewski, D. I., Self, M. M., Weidler, E. M., Devaraj, S., Luna, R. A., Versalovic, J., & Heitkemper, M. (2017) · Clinical Gastroenterology and Hepatology · doi:10.1016/j.cgh.2016.03.045 · Cited by 113
Ma, X., Asif, H., Dai, L., He, Y., Zheng, W., Wang, D., Ren, H., Tang, J., Li, C., Jin, K., et al. (2020) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2020.02.005 · Cited by 114
McLaughlin, S. D., Walker, A. W., Churcher, C., Clark, S. K., Tekkis, P. P., Johnson, M. W., Parkhill, J., Ciclitira, P. J., Dougan, G., Nicholls, R. J., et al. (2010) · Annals of Surgery · doi:10.1097/sla.0b013e3181e3dc8b · Cited by 114
Davis, D. J., Hecht, P. M., Jasarevic, E., Beversdorf, D. Q., Will, M. J., Fritsche, K., & Gillespie, C. H. (2017) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2016.09.003 · Cited by 112
Stehlikova, Z., Kostovcik, M., Kostovcikova, K., Kverka, M., Juzlova, K., Rob, F., Hercogova, J., Bohac, P., Pinto, Y., Uzan, A., et al. (2019) · Frontiers in Microbiology · doi:10.3389/fmicb.2019.00438 · Cited by 105
Population structure of human gut bacteria in a diverse cohort from rural Tanzania and Botswana
Hansen, M. E. B., Rubel, M. A., Bailey, A. G., Ranciaro, A., Thompson, S. R., Campbell, M. C., Beggs, W., Dave, J. R., Mokone, G. G., Mpoloka, S. W., et al. (2019) · Genome Biology · doi:10.1186/s13059-018-1616-9 · Cited by 110
Underwood, M. A., Arriola, J., Gerber, C. W., Kaveti, A., Kalanetra, K. M., Kananurak, A., Bevins, C. L., Mills, D. A., & Dvorak, B. (2014) · Pediatric Research · doi:10.1038/pr.2014.102 · Cited by 107
Distinct patterns in the gut microbiota after surgical or medical therapy in obese patients
Medina, D. A., Pedreros, J. P., Turiel, D., Quezada, N., Pimentel, F., Escalona, A., & Garrido, D. (2017) · PeerJ · doi:10.7717/peerj.3443 · Cited by 101
Featured article: Structure moderation of gut microbiota in liraglutide-treated diabetic male rats
Zhang, Q., Xiao, X., Zheng, J., Li, M., Yu, M., Ping, F., Wang, T., & Wang, X. (2018) · Experimental Biology and Medicine · doi:10.1177/1535370217743765 · Cited by 101
Wallace, R. J., Rooke, J. A., Duthie, C.-A., Hyslop, J. J., Ross, D. W., McKain, N., de Souza, S. M., Snelling, T. J., Waterhouse, A., & Roehe, R. (2014) · Scientific Reports · doi:10.1038/srep05892 · Cited by 100
Morovic, W., Hibberd, A. A., Zabel, B., Barrangou, R., & Stahl, B. (2016) · Frontiers in Microbiology · doi:10.3389/fmicb.2016.01747 · Cited by 99
The Impact of Intratumoral and Gastrointestinal Microbiota on Systemic Cancer Therapy
Cogdill, A. P., Gaudreau, P. O., Arora, R., Gopalakrishnan, V., & Wargo, J. A. (2018) · Trends in Immunology · doi:10.1016/j.it.2018.09.007 · Cited by 98
Metadata
- Authors
- DeSantis, T. Z., Hugenholtz, P., Larsen, N., Rojas, M., Brodie, E. L., Keller, K., Huber, T., Dalevi, D., Hu, P., & Andersen, G. L.
- Affiliations
- Lawrence Berkeley National Laboratory (US)
- Joint Genome Institute (US)
- Danish Genome Institute, Gustav Wieds vej 10 C, DK-8000 Aarhus C, Denmark
- Baylor University (US)
- University of California, Berkeley (US)
- The University of Queensland (AU)
- Chalmers University of Technology (SE)
- Corresponding author
- Andersen, G. L.
- Venue
- Applied and Environmental Microbiology
- Publisher
- American Society for Microbiology
- Published
- 2006-07
- Volume
- 72
- Issue
- 7
- Pages
- 5069-5072
- ISSN
- 0099-2240 (ISSN-L)
- 1098-5336
- OpenAlex
- W1988925586
- Semantic Scholar
- 41abf43dc718e271299457bce65bccfe3feeb9d6
- Cited by
- 10,891
- References
- 33
- Citations by year
- 2026: 220 · 2025: 384 · 2024: 545 · 2023: 576 · 2022: 741 · 2021: 1058 · 2020: 1148 · 2019: 1084 · 2018: 1054 · 2017: 964 · 2016: 770 · 2015: 561 · 2014: 441 · 2013: 317 · 2012: 296
- FWCI
- 36.66
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Applied and Environmental Microbiology (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed (publishedVersion)
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
- University of North Texas Digital Library (University of North Texas) (submittedVersion)
- ANU Open Research (Australian National University) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Chalmers Publication Library (Chalmers University of Technology) (submittedVersion)
- Chalmers Research (Chalmers University of Technology) (submittedVersion)
- Lawrence Berkeley National Laboratory
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Physical Sciences › Environmental Science › Ecology › Microbial Community Ecology and Physiology
- Physical Sciences › Environmental Science › Ecology › Environmental DNA in Biodiversity Studies
- Keywords
- Greengenes, chimeric sequences, taxonomic classification, sequence alignment, angiotensin receptor blockers, bacterial taxonomy, archaeal taxonomy
- MeSH terms
- Archaea, Bacteria, Recombination, Genetic, RNA, Ribosomal, 16S, Software, Reproducibility of Results, Polymerase Chain Reaction, Sequence Alignment, Genes, rRNA, Databases, Nucleic Acid
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