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Comparative assessment of human and farm animal faecal microbiota using real-time quantitative PCR
Open accessAbstract
Pollution of the environment by human and animal faecal pollution affects the safety of shellfish, drinking water and recreational beaches. To pinpoint the origin of contaminations, it is essential to define the differences between human microbiota and that of farm animals. A strategy based on real-time quantitative PCR (qPCR) assays was therefore developed and applied to compare the composition of intestinal microbiota of these two groups. Primers were designed to quantify the 16S rRNA gene from dominant and subdominant bacterial groups. TaqMan probes were defined for the qPCR technique used for dominant microbiota. Human faecal microbiota was compared with that of farm animals using faecal samples collected from rabbits, goats, horses, pigs, sheep and cows. Three dominant bacterial groups (Bacteroides/Prevotella, Clostridium coccoides and Bifidobacterium) of the human microbiota showed differential population levels in animal species. The Clostridium leptum group showed the lowest differences among human and farm animal species. Human subdominant bacterial groups were highly variable in animal species. Partial least squares regression indicated that the human microbiota could be distinguished from all farm animals studied. This culture-independent comparative assessment of the faecal microbiota between humans and farm animals will prove useful in identifying biomarkers of human and animal faecal contaminations that can be applied to microbial source tracking methods.
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Cites
Reduced diversity of faecal microbiota in Crohn’s disease revealed by a metagenomic approach
Manichanh, C., Rigottier-Gois, L., Bonnaud, E., Gloux, K., Pelletier, E., Frangeul, L., Nalin, R., Jarrin, C., Chardon, P., Marteau, P., et al. (2006) · Gut · doi:10.1136/gut.2005.073817 · Cited by 2,277
Self-citation
Cited by
Cryan, J. F., O'Riordan, K. J., Cowan, C. S. M., Sandhu, K. V., Bastiaanssen, T. F. S., Boehme, M., Codagnone, M. G., Cussotto, S., Fulling, C., Golubeva, A. V., et al. (2019) · Physiological Reviews · doi:10.1152/physrev.00018.2018 · Cited by 5,286
Commensal Bifidobacterium promotes antitumor immunity and facilitates anti–PD-L1 efficacy
Sivan, A., Corrales, L., Hubert, N., Williams, J. B., Aquino-Michaels, K., Earley, Z. M., Benyamin, F. W., Man Lei, Y., Jabri, B., Alegre, M.-L., et al. (2015) · Science · doi:10.1126/science.aac4255 · Cited by 3,888
Anticancer immunotherapy by CTLA-4 blockade relies on the gut microbiota
Vétizou, M., Pitt, J. M., Daillère, R., Lepage, P., Waldschmitt, N., Flament, C., Rusakiewicz, S., Routy, B., Roberti, M. P., Duong, C. P. M., et al. (2015) · Science · doi:10.1126/science.aad1329 · Cited by 3,488
An integrated catalog of reference genes in the human gut microbiome
MetaHIT Consortium, Li, J., Jia, H., Cai, X., Zhong, H., Feng, Q., Sunagawa, S., Arumugam, M., Kultima, J. R., Prifti, E., et al. (2014) · Nature Biotechnology · doi:10.1038/nbt.2942 · Cited by 2,164
Self-citationThe Intestinal Microbiota Modulates the Anticancer Immune Effects of Cyclophosphamide
Viaud, S., Saccheri, F., Mignot, G., Yamazaki, T., Daillère, R., Hannani, D., Enot, D. P., Pfirschke, C., Engblom, C., Pittet, M. J., et al. (2013) · Science · doi:10.1126/science.1240537 · Cited by 2,050
Self-citationThe Firmicutes/Bacteroidetes ratio of the human microbiota changes with age
Mariat, D., Firmesse, O., Levenez, F., Guimarăes, V., Sokol, H., Doré, J., Corthier, G., & Furet, J.-P. (2009) · BMC Microbiology · doi:10.1186/1471-2180-9-123 · Cited by 1,755
Self-citationWirbel, J., Pyl, P. T., Kartal, E., Zych, K., Kashani, A., Milanese, A., Fleck, J. S., Voigt, A. Y., Palleja, A., Ponnudurai, R., et al. (2019) · Nature Medicine · doi:10.1038/s41591-019-0406-6 · Cited by 1,373
Yachida, S., Mizutani, S., Shiroma, H., Shiba, S., Nakajima, T., Sakamoto, T., Watanabe, H., Masuda, K., Nishimoto, Y., Kubo, M., et al. (2019) · Nature Medicine · doi:10.1038/s41591-019-0458-7 · Cited by 1,429
Potential of fecal microbiota for early-stage detection of colorectal cancer
Zeller, G., Tap, J., Voigt, A. Y., Sunagawa, S., Kultima, J. R., Costea, P. I., Amiot, A., Böhm, J., Brunetti, F., Habermann, N., et al. (2014) · Molecular Systems Biology · doi:10.15252/msb.20145645 · Cited by 1,375
Self-citationDifferential Adaptation of Human Gut Microbiota to Bariatric Surgery–Induced Weight Loss
Furet, J.-P., Kong, L.-C., Tap, J., Poitou, C., Basdevant, A., Bouillot, J.-L., Mariat, D., Corthier, G., Doré, J., Henegar, C., et al. (2010) · Diabetes · doi:10.2337/db10-0253 · Cited by 1,173
“To recount for water content in fecal samples, data for each fecal sample was normalized as previously described (16).”
MethodSelf-citationTowards the human intestinal microbiota phylogenetic core
Tap, J., Mondot, S., Levenez, F., Pelletier, E., Caron, C., Furet, J., Ugarte, E., Muñoz‐Tamayo, R., Paslier, D. L. E., Nalin, R., et al. (2009) · Environmental Microbiology · doi:10.1111/j.1462-2920.2009.01982.x · Cited by 927
Self-citationIntestinal microbiota in patients with nonalcoholic fatty liver disease
Mouzaki, M., Comelli, E. M., Arendt, B. M., Bonengel, J., Fung, S. K., Fischer, S. E., McGilvray, I. D., & Allard, J. P. (2013) · Hepatology · doi:10.1002/hep.26319 · Cited by 749
Adiposity, gut microbiota and faecal short chain fatty acids are linked in adult humans
Fernandes, J., Su, W., Rahat-Rozenbloom, S., Wolever, T. M. S., & Comelli, E. M. (2014) · Nutrition & Diabetes · doi:10.1038/nutd.2014.23 · Cited by 628
Yoshida, N., Emoto, T., Yamashita, T., Watanabe, H., Hayashi, T., Tabata, T., Hoshi, N., Hatano, N., Ozawa, G., Sasaki, N., et al. (2018) · Circulation · doi:10.1161/circulationaha.118.033714 · Cited by 619
Bertocchi, A., Carloni, S., Ravenda, P. S., Bertalot, G., Spadoni, I., Lo Cascio, A., Gandini, S., Lizier, M., Braga, D., Asnicar, F., et al. (2021) · Cancer Cell · doi:10.1016/j.ccell.2021.03.004 · Cited by 515
Zimmermann, M. B., Chassard, C., Rohner, F., N'Goran, E. K., Nindjin, C., Dostal, A., Utzinger, J., Ghattas, H., Lacroix, C., & Hurrell, R. F. (2010) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.110.004564 · Cited by 520
Systemic short chain fatty acids limit antitumor effect of CTLA-4 blockade in hosts with cancer
Coutzac, C., Jouniaux, J.-M., Paci, A., Schmidt, J., Mallardo, D., Seck, A., Asvatourian, V., Cassard, L., Saulnier, P., Lacroix, L., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-16079-x · Cited by 513
Zagato, E., Pozzi, C., Bertocchi, A., Schioppa, T., Saccheri, F., Guglietta, S., Fosso, B., Melocchi, L., Nizzoli, G., Troisi, J., et al. (2020) · Nature Microbiology · doi:10.1038/s41564-019-0649-5 · Cited by 492
Gut microbiota signatures are associated with toxicity to combined CTLA-4 and PD-1 blockade
Andrews, M. C., Duong, C. P. M., Gopalakrishnan, V., Iebba, V., Chen, W.-S., Derosa, L., Khan, M. A. W., Cogdill, A. P., White, M. G., Wong, M. C., et al. (2021) · Nature Medicine · doi:10.1038/s41591-021-01406-6 · Cited by 437
Kong, L.-C., Tap, J., Aron-Wisnewsky, J., Pelloux, V., Basdevant, A., Bouillot, J.-L., Zucker, J.-D., Doré, J., & Clément, K. (2013) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.113.058743 · Cited by 416
Gut microbiota richness promotes its stability upon increased dietary fibre intake in healthy adults
Tap, J., Furet, J., Bensaada, M., Philippe, C., Roth, H., Rabot, S., Lakhdari, O., Lombard, V., Henrissat, B., Corthier, G., et al. (2015) · Environmental Microbiology · doi:10.1111/1462-2920.13006 · Cited by 397
Self-citationBile Acids and Dysbiosis in Non-Alcoholic Fatty Liver Disease
Mouzaki, M., Wang, A. Y., Bandsma, R., Comelli, E. M., Arendt, B. M., Zhang, L., Fung, S., Fischer, S. E., McGilvray, I. G., & Allard, J. P. (2016) · PLOS ONE · doi:10.1371/journal.pone.0151829 · Cited by 385
Commensal bacteria promote endocrine resistance in prostate cancer through androgen biosynthesis
Pernigoni, N., Zagato, E., Calcinotto, A., Troiani, M., Mestre, R. P., Calì, B., Attanasio, G., Troisi, J., Minini, M., Mosole, S., et al. (2021) · Science · doi:10.1126/science.abf8403 · Cited by 323
Crouzet, L., Gaultier, E., Del'Homme, C., Cartier, C., Delmas, E., Dapoigny, M., Fioramonti, J., & Bernalier‐Donadille, A. (2013) · Neurogastroenterology & Motility · doi:10.1111/nmo.12103 · Cited by 280
Duboc, H., Rainteau, D., Rajca, S., Humbert, L., Farabos, D., Maubert, M., Grondin, V., Jouet, P., Bouhassira, D., Seksik, P., et al. (2012) · Neurogastroenterology & Motility · doi:10.1111/j.1365-2982.2012.01893.x · Cited by 256
Liu, H.-N., Wu, H., Chen, Y.-Z., Chen, Y.-J., Shen, X.-Z., & Liu, T.-T. (2017) · Digestive and Liver Disease · doi:10.1016/j.dld.2017.01.142 · Cited by 254
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
Gut bacteria are critical for optimal muscle function: a potential link with glucose homeostasis
Nay, K., Jollet, M., Goustard, B., Baati, N., Vernus, B., Pontones, M., Lefeuvre-Orfila, L., Bendavid, C., Rué, O., Mariadassou, M., et al. (2019) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00521.2018 · Cited by 215
Time course production of urolithins from ellagic acid by human gut microbiota
García-Villalba, R., Beltrán, D., Espín, J. C., Selma, M. V., & Tomás-Barberán, F. A. (2013) · Journal of Agricultural and Food Chemistry · doi:10.1021/jf402498b · Cited by 207
Aguilera, M., Cerdà-Cuéllar, M., & Martínez, V (2015) · Gut Microbes · doi:10.4161/19490976.2014.990790 · Cited by 162
Ratsimandresy, R. A., Indramohan, M., Dorfleutner, A., & Stehlik, C. (2017) · Cellular & Molecular Immunology · doi:10.1038/cmi.2016.35 · Cited by 161
Lopez-Siles, M., Martinez-Medina, M., Surís-Valls, R., Aldeguer, X., Sabat-Mir, M., Duncan, S. H., Flint, H. J., & Garcia-Gil, L. J. (2016) · Inflammatory Bowel Diseases · doi:10.1097/mib.0000000000000590 · Cited by 144
Dostal, A., Fehlbaum, S., Chassard, C., Zimmermann, M. B., & Lacroix, C. (2013) · FEMS Microbiology Ecology · doi:10.1111/j.1574-6941.2012.01461.x · Cited by 129
Dostal, A., Baumgartner, J., Riesen, N., Chassard, C., Smuts, C. M., Zimmermann, M. B., & Lacroix, C. (2014) · British Journal of Nutrition · doi:10.1017/s0007114514001160 · Cited by 121
Barouei, J., Moussavi, M., & Hodgson, D. M. (2012) · PLoS ONE · doi:10.1371/journal.pone.0046051 · Cited by 99
Ziemer, C. J. (2014) · Applied and Environmental Microbiology · doi:10.1128/aem.03016-13 · Cited by 82
Van den Abbeele, P., Verstrepen, L., Ghyselinck, J., Albers, R., Marzorati, M., & Mercenier, A. (2020) · Nutrients · doi:10.3390/nu12071917 · Cited by 73
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Kuo, P.-H., & Chung, Y.-C. E. (2019) · Journal of the Formosan Medical Association · doi:10.1016/j.jfma.2018.09.004 · Cited by 40
Gallier, S., Van den Abbeele, P., & Prosser, C. (2020) · Frontiers in Nutrition · doi:10.3389/fnut.2020.608495 · Cited by 38
Sourdough authentication: Quantitative PCR to detect the lactic acid bacterial microbiota in breads
Pontonio, E., Di Cagno, R., Mahony, J., Lanera, A., De Angelis, M., van Sinderen, D., & Gobbetti, M. (2017) · Scientific Reports · doi:10.1038/s41598-017-00549-2 · Cited by 35
Impact of Tempeh Supplementation on Gut Microbiota Composition in Sprague-Dawley Rats
Suwanto, A., Soka, S., Sajuthi, D., & Rusmana, I. (2014) · Research Journal of Microbiology · doi:10.3923/jm.2014.189.198 · Cited by 29
Metadata
- Authors
- Furet, J.-P., Firmesse, O., Gourmelon, M., Bridonneau, C., Tap, J., Mondot, S., Doré, J., & Corthier, G.
- Venue
- FEMS Microbiology Ecology
- Publisher
- Oxford University Press (OUP)
- Published
- 2009-06
- Volume
- 68
- Issue
- 3
- Pages
- 351-362
- ISSN
- 0168-6496 (ISSN-L)
- 1574-6941
- OpenAlex
- W2104816934
- Cited by
- 431
- References
- 1
- FWCI
- 15.27
- Type
- journal article
- Language
- en
- Open access
- bronze
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