Cited by 119Ruminant Nutrition and Digestive PhysiologyAnimal Nutrition and PhysiologyGut microbiota and health

Correlation of particular bacterial PCR-denaturing gradient gel electrophoresis patterns with bovine ruminal fermentation parameters and feed efficiency traits

Open access
Hernandez-Sanabria, Emma, Guan, Le Luo, Goonewardene, Laksiri A., Li, Meiju, Mujibi, Denis F., Stothard, Paul, Moore, Stephen S., Leon-Quintero, Monica C.·2010·Applied and Environmental Microbiology

Abstract

The influence of rumen microbial structure and functions on host physiology remains poorly understood. This study aimed to investigate the interaction between the ruminal microflora and the host by correlating bacterial diversity with fermentation measurements and feed efficiency traits, including dry matter intake, feed conversion ratio, average daily gain, and residual feed intake, using culture-independent methods. Universal bacterial partial 16S rRNA gene products were amplified from ruminal fluid collected from 58 steers raised under a low-energy diet and were subjected to PCR-denaturing gradient gel electrophoresis (DGGE) analysis. Multivariate statistical analysis was used to relate specific PCR-DGGE bands to various feed efficiency traits and metabolites. Analysis of volatile fatty acid profiles showed that butyrate was positively correlated with daily dry matter intake (P < 0.05) and tended to have higher concentration in inefficient animals (P = 0.10), while isovalerate was associated with residual feed intake (P < 0.05). Our results suggest that particular bacteria and their metabolism in the rumen may contribute to differences in host feed efficiency under a low-energy diet. This is the first study correlating PCR-DGGE bands representing specific bacteria to metabolites in the bovine rumen and to host feed efficiency traits.

Integrity signals

Registry

Crossref · 10.1128/aem.01052-10

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

The citation lists haven’t been fetched yet

References 47 · Cited by 119

Authors
Hernandez-Sanabria, E., Guan, L. L., Goonewardene, L. A., Li, M., Mujibi, D. F., Stothard, P., Moore, S. S., & Leon-Quintero, M. C.
Affiliations
  • Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada T6G 2P5
  • University of Alberta (CA)
Corresponding author
Guan, Le Luo
Venue
Applied and Environmental Microbiology
Published
2010-10
Volume
76
Issue
19
Pages
6338-6350
ISSN
  • 0099-2240 (ISSN-L)
  • 1098-5336
OpenAlex
W2125701719
Cited by
119
References
47
Citations by year
2026: 1 · 2025: 5 · 2024: 5 · 2023: 7 · 2022: 10 · 2021: 11 · 2020: 11 · 2019: 8 · 2018: 13 · 2017: 9 · 2016: 4 · 2015: 5 · 2014: 8 · 2013: 7 · 2012: 6
FWCI
14.94
Type
journal article
Language
en
Open access
Locations
  • Applied and Environmental Microbiology (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Ruminant Nutrition and Digestive Physiology
  • Life Sciences › Agricultural and Biological Sciences › Animal Science and Zoology › Animal Nutrition and Physiology
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
Keywords
rumen microbiota, rumen fermentation, feed efficiency, residual feed intake, feed conversion ratio, dry matter intake, average daily gain, volatile fatty acids, butyrate, isovalerate, 16S rRNA gene, steers, hypocaloric diet, host-microbe interactions, bacterial diversity
MeSH terms
Animals, Animal Feed, Bacteria, Cattle, Diet, DNA, Bacterial, DNA, Ribosomal, Fatty Acids, Fermentation, Male, RNA, Ribosomal, 16S, Rumen, Polymerase Chain Reaction, Biodiversity, Metagenome, Denaturing Gradient Gel Electrophoresis

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review