Evidence map›Paper›PMID 22156428›Full record

ArticleApplied and environmental microbiology2012

Impact of feed efficiency and diet on adaptive variations in the bacterial community in the rumen fluid of cattle.

Emma Hernandez-Sanabria, Laksiri A Goonewardene, Zhiquan Wang, Obioha N Durunna, Stephen S Moore, Le Luo Guan

Abstract read
In one paragraph

Article in Applied and environmental microbiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 105 papers.

0numbers the graph read from it
0cells of the map it votes in
105citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

105 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Gut Microbiota of Ruminants and Monogastric Livestock: An Overview.Animals : an open access journal from MDPI · 2025
    Review
  14. Article
  15. Article
  16. Article
  17. Impact of virginiamycin on the ruminal microbiota of feedlot cattle.Canadian journal of veterinary research = Revue canadienne de recherche veterinaire · 2024
    Article
  18. Article
  19. Article
  20. Article

45 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Emma Hernandez-SanabriaDepartment of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada.
Laksiri A Goonewardene
Zhiquan Wang
Obioha N Durunna
Stephen S Moore
Le Luo Guan

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Limited knowledge of the structure and activities of the ruminal bacterial community prevents the understanding of the effect of population dynamics on functional bacterial groups and on host productivity. This study aimed to identify particular bacteria associated with host feed efficiency in steers with differing diets and residual feed intake (RFI) using culture-independent methods: PCR-denaturing gradient gel electrophoresis (DGGE) and quantitative real-time PCR analysis. PCR-DGGE profiles were generated from the ruminal fluid of 55 steers fed a low-energy-density diet and then switched to a high-energy-density diet. Bacterial profile comparisons by multivariate statistical analysis showed a trend only for RFI-related clusters on the high-energy diet. When steers (n = 19) belonging to the same RFI group under both diets were used to identify specific bacterial phylotypes related to feed efficiency traits, correlations were detected between dry matter intake, average daily gain, and copy numbers of the 16S rRNA gene of Succinivibrio sp. in low-RFI (efficient) steers, whereas correlations between Robinsoniella sp. and RFI (P < 0.05) were observed for high-RFI (inefficient) animals. Eubacterium sp. differed significantly (P < 0.05) between RFI groups that were only on the high-energy diet. Our work provides a comprehensive framework to understand how particular bacterial phylotypes contribute to differences in feed efficiency and ultimately influence host productivity, which may either depend on or be independent from diet factors.

Indexed as

BiotaDietMetagenomeAnimalsBacteriaBacterial LoadCattleCluster AnalysisDenaturing Gradient Gel ElectrophoresisDNA, BacterialDNA FingerprintingDNA, RibosomalReal-Time Polymerase Chain ReactionRNA, Ribosomal, 16SRumenDNA, BacterialDNA, RibosomalRNA, Ribosomal, 16S

Identifiers

PMID22156428
PMCPMC3273029

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.