Evidence map›Paper›PMID 37742310›Full record

ArticleJournal of animal science2023

Relationship between hindgut microbes and feed conversion ratio in Hu sheep and microbial longitudinal development.

Dan Xu, Jiangbo Cheng, Deyin Zhang, Kai Huang, Yukun Zhang, Xiaolong Li, Yuan Zhao, Liming Zhao, Jianghui Wang, Changchun Lin and 14 more

Abstract read
In one paragraph

Article in Journal of animal science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

24 authors.

Dan XuCollege of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China.
Jiangbo ChengCollege of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China.ORCID 0000-0002-1281-5157
Deyin ZhangThe State Key Laboratory of Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, Gansu 730020, China.
Kai HuangThe State Key Laboratory of Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, Gansu 730020, China.
Yukun ZhangThe State Key Laboratory of Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, Gansu 730020, China.
Xiaolong LiCollege of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China.
Yuan ZhaoThe State Key Laboratory of Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, Gansu 730020, China.
Liming ZhaoCollege of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China.
Jianghui WangCollege of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China.
Changchun LinCollege of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China.
Xiaobin YangCollege of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China.
Rui ZhaiCollege of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China.
Panpan CuiCollege of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China.
Xiwen ZengCollege of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China.
Yongliang HuangCollege of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China.
Zongwu MaCollege of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China.
Jia LiuCollege of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China.
Kunchao HanThe State Key Laboratory of Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, Gansu 730020, China.
Xiaoqiang LiuCollege of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China.
Fan YangCollege of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China.
Huibin TianThe State Key Laboratory of Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, Gansu 730020, China.
Xiuxiu WengThe State Key Laboratory of Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, Gansu 730020, China.
Xiaoxue ZhangCollege of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China.
Weimin WangThe State Key Laboratory of Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, Gansu 730020, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Feed efficiency is an important indicator in the sheep production process, which plays an important role in improving economic benefits and strengthening energy conservation and emission reduction. Compared with the rumen, the fermentation of the hindgut microorganisms can also provide part of the energy for the host, and the composition of the hindgut microorganisms will affect the feed efficiency. Therefore, we hope to find new ways to regulate sheep feed efficiency by studying the sheep gut microbes. In this study, male Hu sheep with the same birth date were raised under the same conditions until 180 d old. The sheep were divided into high and low groups according to the feed conversion ratio (FCR) at 80 to 180 d old, and the differences in rectal microorganisms between the two groups were compared. The permutational multivariate analysis (PERMANOVA) test showed that there were differences in microorganisms between the two groups (P < 0.05). Combined with linear fitting analysis, a total of six biomarkers were identified, including Ruminobacter, Eubacterium_xylanophilum_group, Romboutsia, etc. Functional enrichment analysis showed that microorganisms may affect FCR through volatile fatty acids synthesis and inflammatory response. At the same time, we conducted a longitudinal analysis of the hindgut microbes, sampling nine-time points throughout the sheep birth to market stages. The microbiota is clearly divided into two parts: before weaning and after weaning, and after weaning microbes are less affected by before weaning microbial composition.

Indexed as

MicrobiotaAnimal FeedAnimalsFatty Acids, VolatileFermentationMaleRumenSheepWeaningFatty Acids, Volatilefeed conversion ratiohindgutHu sheepmicroorganismvertical development

Identifiers

PMID37742310
PMCPMC10576521

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Registered trials

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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.