Capillary electrophoresis single-strand conformation polymorphism for the monitoring of gastrointestinal microbiota of chicken flocks

Autor: Christine Burel, S. Mallet, R. Maurice, M. Queguiner, Irène Gabriel, P. Fravalo, Michel Lessire, C. Pissavin, V. Beven
Přispěvatelé: Agence nationale de sécurité sanitaire de l'alimentation, de l'environnement et du travail (ANSES), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES), Unité de Recherches Avicoles (URA), Institut National de la Recherche Agronomique (INRA), Université de Rennes (UR)
Jazyk: angličtina
Rok vydání: 2012
Předmět:
DNA
Bacterial

Male
Aerobic bacteria
[SDV]Life Sciences [q-bio]
Biology
Gut flora
digestive system
MICROFLORA
Microbiology
03 medical and health sciences
GRADIENT GEL-ELECTROPHORESIS
Animals
PHYLOGENETIC ANALYSIS
[INFO]Computer Science [cs]
Food science
Animal Husbandry
030304 developmental biology
2. Zero hunger
capillary electrophoresis single-strand conformation polymorphism
0303 health sciences
Polymorphism
Genetic

Bacteria
SALERS CHEESE
gut microbiota
030306 microbiology
Electrophoresis
Capillary

REGISTERED DESIGNATION
CECAL MICROBIOTA
Single-strand conformation polymorphism
General Medicine
biology.organism_classification
16S ribosomal RNA
INTESTINAL BACTERIAL COMMUNITY
Hatchery
SSCP
BROILER-CHICKENS
Gastrointestinal Tract
GENETIC PROFILES
Animal Science and Zoology
Cloaca
Flock
Chickens
Zdroj: Poultry Science
Poultry Science, Poultry Science Association, 2012, 91 (9), pp.2294-2304. ⟨10.3382/ps.2011-01911⟩
Poultry Science, 2012, 91 (9), pp.2294-2304. ⟨10.3382/ps.2011-01911⟩
ISSN: 0032-5791
DOI: 10.3382/ps.2011-01911⟩
Popis: International audience; The objective of the present study was to evaluate the capillary electrophoresis single-strand conformation polymorphism (CE-SSCP) to characterize poultry gut microbiota and the ability of this molecular method to detect modifications related to rearing conditions to be used as an epidemiological tool. The V3 region of the 16S rRNA gene was selected as the PCR target. Our results showed that this method provides reproducible data. The microbiota analysis of individuals showed that variability between individual fingerprints was higher for ileum and cloaca than for ceca. However, pooling the samples decreased this variability. To estimate the variability within and between farms, we compared molecular gut patterns of animals from the same hatchery reared under similar conditions and fed the same diet in 2 separate farms. Total aerobic bacteria, coliforms, and lactic acid bacteria were enumerated using conventional bacteriological methods. A significant difference was observed for coliforms present in the ceca and the cloaca depending on the farm. Ileal contents fingerprints were more closely related to those of cloacal contents than to those of ceca contents. When comparing samples from the 2 farms, a specific microbiota was highlighted for each farm. For each gut compartment, the microbiota fingerprints were joined in clusters according to the farm. Thus, this rapid and potentially high-throughput method to obtain gut flora fingerprints is sensitive enough to detect a "farm effect" on the balance of poultry gut microbiota despite the birds being fed the same regimens and reared under similar conditions.
Databáze: OpenAIRE