Evidence map›Paper›PMID 35405815›Full record

ArticleAnimals : an open access journal from MDPI2022

Characterization of the Microbial Communities along the Gastrointestinal Tract in Crossbred Cattle.

Kai Wang, Hailiang Zhang, Lirong Hu, Guoxing Zhang, Haibo Lu, Hanpeng Luo, Shanjiang Zhao, Huabin Zhu, Yachun Wang

Open access · goldAbstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

19 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Microorganisms · 2023
    Article
  16. Article
  17. Article
  18. Article
  19. Article
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

9 authors at 2 institutions in 1 country.

Kai WangCollege of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
Hailiang ZhangCollege of Animal Science and Technology, China Agricultural University, Beijing 100193, China.ORCID 0000-0002-8050-2494
Lirong HuCollege of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
Guoxing ZhangCollege of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
Haibo LuBeijing SUNLON Biological Seed Industry Innovation Technology Limited Company, Beijing 101206, China.
Hanpeng LuoCollege of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
Shanjiang ZhaoInstitute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.ORCID 0000-0001-5324-9182
Huabin ZhuInstitute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Yachun WangCollege of Animal Science and Technology, China Agricultural University, Beijing 100193, China.ORCID 0000-0003-3629-2802
China Agricultural University · CNChinese Academy of Agricultural Sciences · CN

Funding

China Agriculture Research System of MOF and MARA no. CARS-36the program for the Changjiang Scholar and Innovation Research Team at the University of China no. IRT_15R62
6 · The paper itself

Abstract

The gastrointestinal microbiota greatly affects the health status and production performance of bovines. Presently, many studies have used high-throughput sequencing methods to investigate the gastrointestinal microbiome in bovines. However, the microbiome profile of crossbred cattle across the whole gastrointestinal tract (GIT) has not been thoroughly reported. In this study, the digesta at ten regions (including the rumen, reticulum, omasum, abomasum, duodenum, jejunum, ileum, cecum, colon, and rectum) of the GIT were collected in three Simmental × Holstein crossbred heifers aged 17 months, and microbial DNA was extracted and amplified for sequencing of the V3-V4 regions of the 16S rRNA gene. Functional orthologs of the microbiota genome were predicted and analyzed. We found that samples were categorized into three groups (the stomach, small intestine, and large intestine) by principal coordinate analysis (PCoA) based on Bray-Curtis dissimilarity in both the bacterial composition and functional profile. Samples from small intestine had the lowest alpha diversity of bacteria composition and highest alpha diversity of the functional composition. Three groups of GIT regions were characterized by several microbiome features. The stomach was characterized by

Indexed as

16s rRNA gene sequencingcrossbred cattlefunctional predictiongut microbiotaSimmental × Holstein crossbred

Identifiers

PMID35405815
PMCPMC8997095
OpenAlexW4220998321

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.