Publication details.

Paper

Year:2014
Author(s):C. Saro, M.J. Ranilla, A. Cifuentes, R. Rosselló-Mora, M.D. Carro
Title:Technical note: Comparison of automated ribosomal intergenic spacer analysis and denaturing gradient gel electrophoresis to assess bacterial diversity in the rumen of sheep
Journal:JOURNAL OF ANIMAL SCIENCE
ISSN:0021-8812
JCR Impact Factor:2.108
Volume:92
Issue No.:3
Pages:1083-1088
D.O.I.:10.2527/jas2013-7175
Web:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84895136981&origin=inward
Abstract:The aim of this study was to compare automated ribosomal intergenic spacer analysis (ARISA) and denaturing gradient gel electrophoresis (DGGE) techniques to assess bacterial diversity in the rumen of sheep. Sheep were fed 2 diets with 70% of either alfalfa hay or grass hay, and the solid (SOL) and liquid (LIQ) phases of the rumen were sampled immediately before feeding (0 h) and at 4 and 8 h postfeeding. Both techniques detected similar differences between forages, with alfalfa hay promoting greater (P < 0.05) bacterial diversity than grass hay. In contrast, whereas ARISA analysis showed a decrease (P < 0.05) of bacterial diversity in SOL at 4 h postfeeding compared with 0 and 8 h samplings, no variations (P > 0.05) over the postfeeding period were detected by DGGE. The ARISA technique showed lower (P < 0.05) bacterial diversity in SOL than in LIQ samples at 4 h postfeeding, but no differences (P > 0.05) in bacterial diversity between both rumen phases were detected by DGGE. Under the conditions of this study, the DGGE was not sensitive enough to detect some changes in ruminal bacterial communities, and therefore ARISA was considered more accurate for assessing bacterial diversity of ruminal samples. The results highlight the influence of the fingerprinting technique used to draw conclusions on factors affecting ruminal bacterial diversity. © 2014 American Society of Animal Science. All rights reserved.

Related staff

  • Ramon Rosselló Móra
  • Related research groups

  • Marine Ecosystems Dynamics
  • Environmental Microbiology