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The identification of fungi collected from the ceca of commercial poultry.
Byrd, J A; Caldwell, D Y; Nisbet, D J.
Afiliación
  • Byrd JA; USDA, ARS, SPARC, Food and Feed Safety Research Unit, College Station, TX.
  • Caldwell DY; USDA, ARS, SPARC, Food and Feed Safety Research Unit, College Station, TX.
  • Nisbet DJ; USDA, ARS, SPARC, Food and Feed Safety Research Unit, College Station, TX.
Poult Sci ; 96(7): 2360-2365, 2017 Jul 01.
Article en En | MEDLINE | ID: mdl-28339796
ABSTRACT
Under normal conditions, fungi are ignored unless a disease/syndrome clinical signs are reported. The scientific communities are largely unaware of the roles fungi play in normal production parameters. Numerous preharvest interventions have demonstrated that beneficial bacteria can play a role in improving productions parameters; however, most researchers have ignored the impact that fungi may have on production. The goal of the present study was to record fungi recovered from commercial broiler and layer houses during production. Over 3,000 cecal samples were isolated using conventional culture methodology and over 890 samples were further characterized using an automated repetitive sequence-based PCR (rep-PCR) methodology. Eighty-eight different fungal and yeast species were identified, including Aspergillus spp., Penicillium spp., and Sporidiobolus spp, and 18 unknown genera were separated using rep-PCR. The results from the present study will provide a normal fungi background genera under commercial conditions and will be a stepping stone for investigating the impact of fungi on the gastrointestinal tract and on the health of poultry.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Pollos / Hongos Tipo de estudio: Diagnostic_studies Límite: Animals Idioma: En Revista: Poult Sci Año: 2017 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Pollos / Hongos Tipo de estudio: Diagnostic_studies Límite: Animals Idioma: En Revista: Poult Sci Año: 2017 Tipo del documento: Article
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