Evidence map›Paper›PMID 29788417›Full record

ArticleJournal of animal science2018

Poor feed efficiency in sheep is associated with several structural abnormalities in the community metabolic network of their ruminal microbes.

Rocky D Patil, Melinda J Ellison, Sara M Wolff, Courtney Shearer, Anna M Wright, Rebecca R Cockrum, Kathy J Austin, William R Lamberson, Kristi M Cammack, Gavin C Conant

Open access · bronzeAbstract read
In one paragraph

Article in Journal of animal science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.6field-weighted citation impact, top 8% of its field
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

11 citing papers in PubMed, 21 citations in OpenAlex.

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  8. Determinants ofParasitology · 2021
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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

10 authors at 6 institutions in 1 country.

Rocky D PatilDivision of Animal Sciences, University of Missouri-Columbia, Columbia, MO.
Melinda J EllisonAnimal and Veterinary Science, Nancy M. Cummings Research, Extension, and Education Center, University of Idaho, Carmen, ID.
Sara M WolffDivision of Animal Sciences, University of Missouri-Columbia, Columbia, MO.
Courtney ShearerSchool of Computing, Clemson University, Clemson, SC.
Anna M WrightDepartment of Psychological Sciences, University of Missouri-Columbia, Columbia, MO.
Rebecca R CockrumDepartment of Dairy Science, Virginia Polytechnic Institute and State University, Blacksburg, VA.
Kathy J AustinDepartment of Animal Science, University of Wyoming, Laramie, WY.
William R LambersonDivision of Animal Sciences, University of Missouri-Columbia, Columbia, MO.
Kristi M CammackDepartment of Animal Science, South Dakota State University, Brookings, SD.
Gavin C ConantDivision of Animal Sciences, University of Missouri-Columbia, Columbia, MO.
University of Missouri · USClemson University · USSouth Dakota State University · USUniversity of Idaho · USUniversity of Wyoming · USVirginia Tech · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ruminant animals have a symbiotic relationship with the microorganisms in their rumens. In this relationship, rumen microbes efficiently degrade complex plant-derived compounds into smaller digestible compounds, a process that is very likely associated with host animal feed efficiency. The resulting simpler metabolites can then be absorbed by the host and converted into other compounds by host enzymes. We used a microbial community metabolic network inferred from shotgun metagenomics data to assess how this metabolic system differs between animals that are able to turn ingested feedstuffs into body mass with high efficiency and those that are not. We conducted shotgun sequencing of microbial DNA from the rumen contents of 16 sheep that differed in their residual feed intake (RFI), a measure of feed efficiency. Metagenomic reads from each sheep were mapped onto a database-derived microbial metabolic network, which was linked to the sheep metabolic network by interface metabolites (metabolites transferred from microbes to host). No single enzyme was identified as being significantly different in abundance between the low and high RFI animals (P > 0.05, Wilcoxon test). However, when we analyzed the metabolic network as a whole, we found several differences between efficient and inefficient animals. Microbes from low RFI (efficient) animals use a suite of enzymes closer in network space to the host's reactions than those of the high RFI (inefficient) animals. Similarly, low RFI animals have microbial metabolic networks that, on average, contain reactions using shorter carbon chains than do those of high RFI animals, potentially allowing the host animals to extract metabolites more efficiently. Finally, the efficient animals possess community networks with greater Shannon diversity among their enzymes than do inefficient ones. Thus, our system approach to the ruminal microbiome identified differences attributable to feed efficiency in the structure of the microbes' community metabolic network that were undetected at the level of individual microbial taxa or reactions.

Indexed as

Gastrointestinal MicrobiomeMetabolic Networks and PathwaysMetagenomicsAnimal FeedAnimalsFemaleRumenSheep

Identifiers

PMID29788417
PMCPMC6095279
OpenAlexW2803133116

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.