FN Archimer Export Format PT J TI Comparative assessment of human and farm animal faecal microbiota using real-time quantitative PCR BT AF FURET, Jean-Pierre FIRMESSE, Olivier GOURMELON, Michele BRIDONNEAU, Chantal TAP, Julien MONDOT, Stanislas DORE, Joel CORTHIER, Gerard AS 1:1;2:1;3:2;4:1;5:1;6:1;7:1;8:1; FF 1:;2:;3:PDG-DOP-DCN-EMP-MIC;4:;5:;6:;7:;8:; C1 INRA, Unite Ecol & Physiol Syst Digestif, U910, F-78350 Jouy En Josas, France. IFREMER, Microbiol Lab, EMP, MIC, Plouzane, France. C2 INRA, FRANCE IFREMER, FRANCE SI BREST SE PDG-DOP-DCN-EMP-MIC IN WOS Ifremer jusqu'en 2018 copubli-france copubli-p187 IF 3.598 TC 262 UR https://archimer.ifremer.fr/doc/00000/11071/11297.pdf LA English DT Article DE ;quantitative PCR;faecal microbiota;human;farm animals AB 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((R)) 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. PY 2009 PD JUL SO Fems Microbiology Ecology SN 0168-6496 PU Wiley-blackwell Publishing, Inc VL 68 IS 3 UT 000265770900009 BP 351 EP 362 DI 10.1111/j.1574-6941.2009.00671.x ID 11071 ER EF