Evidence map›Paper›PMID 35953151›Full record

ArticleJournal of animal science2022

Relationship between rumen microbial differences and traits among Hu sheep, Tan sheep, and Dorper sheep.

Jiangbo Cheng, Xiaoxue Zhang, Dan Xu, Deyin Zhang, Yukun Zhang, Qizhi Song, Xiaolong Li, Yuan Zhao, Liming Zhao, Wenxin Li and 11 more

Open access · greenAbstract read
In one paragraph

Article in Journal of animal science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
11.8field-weighted citation impact, top 1% 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

47 citing papers in PubMed, 52 citations in OpenAlex.

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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

21 authors at 2 institutions in 1 country.

Jiangbo ChengThe State Key Laboratory of Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, Gansu 730020, China.ORCID 0000-0002-1281-5157
Xiaoxue ZhangCollege of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China.
Dan XuCollege of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China.
Deyin ZhangThe 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.ORCID 0000-0003-0729-3267
Qizhi SongCollege of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, 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.
Wenxin LiCollege 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.
Bubo ZhouCollege 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.
Weimin WangThe State Key Laboratory of Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, Gansu 730020, China.
Gansu Agricultural University · CNLanzhou University · CN

Funding

Key R&D Program of Gansu Province 20YF3NA012National Key R&D Program of China 2021YFD1300901"Western Light" talent training program of the Chinese Academy of Sciences "Western Young Scholars" Category A Project
6 · The paper itself

Abstract

Rumen microbes play an important role in the growth and development of ruminants. Differences in variety will affect the rumen community structure. The three excellent sheep breeds were selected for this study (Hu sheep, Tan sheep, and Dorper sheep) have different uses and origins. The sheep were raised on the same diet to 180 d of age in a consistent environment. 16S rDNA V3 to V4 region sequencing was used to assess the rumen microbes of 180 individuals (60 per breed). There were differences in microbial diversity among different sheep breeds (P < 0.05). Principal coordinate analysis showed that the three varieties were separated, but also partially overlapped. Linear discriminant analysis effect size identified a total of 19 biomarkers in three breeds. Of these biomarkers, five in Hu sheep were significantly negatively correlated with average feed conversion rate (P < 0.05). Six biomarkers were identified in the rumen of Dorper sheep, among which Ruminococcus was significantly positively correlated with body weight at 80 d (P < 0.05). In Tan sheep, Rikenellaceae_RC9_gut_group was significantly positively correlated with meat fat, and significantly positively correlated with volatile fatty acids (VFAs), such as butyric acid and isobutyric acid (P < 0.05). The Rikenellaceae_RC9_gut_group may regulate Tan mutton fat deposition by affecting the concentration of VFAs. Functional prediction revealed enrichment differences of functional pathways among different sheep breeds were small. All were enriched in functions, such as fermentation and chemoheterotrophy. The results show that there are differences in the rumen microorganisms of the different sheep breeds, and that the microorganisms influence the host.

Indexed as

IsobutyratesRumenAnimalsButyratesDNA, RibosomalFermentationSheepButyratesDNA, RibosomalIsobutyrates16S rDNA sequencingDorper sheepHu sheeprumen microorganismTan sheep

Identifiers

PMID35953151
PMCPMC9492252
OpenAlexW4291009582

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.