Evidence map›Paper›PMID 32175695›Full record

ArticleMicrobiologyOpen2020

The day-to-day stability of the ruminal and fecal microbiota in lactating dairy cows.

Shuai Huang, Shoukun Ji, Hui Yan, Yangyi Hao, Jun Zhang, Yajing Wang, Zhijun Cao, Shengli Li

Abstract read
In one paragraph

Article in MicrobiologyOpen, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Article
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  8. Effects ofAnimals : an open access journal from MDPI · 2024
    Article
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  13. Article
  14. Turicibacterales protect mice from severeInfection and immunity · 2023
    Article
  15. 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

8 authors.

Shuai HuangState Key Laboratory of Animal Nutrition, Beijing Engineering Technology Research Center of Raw Milk Quality and Safety Control, College of Animal Science and Technology, China Agricultural University, Beijing, China.ORCID 0000-0002-6576-8542
Shoukun JiState Key Laboratory of Animal Nutrition, Beijing Engineering Technology Research Center of Raw Milk Quality and Safety Control, College of Animal Science and Technology, China Agricultural University, Beijing, China.
Hui YanState Key Laboratory of Animal Nutrition, Beijing Engineering Technology Research Center of Raw Milk Quality and Safety Control, College of Animal Science and Technology, China Agricultural University, Beijing, China.
Yangyi HaoState Key Laboratory of Animal Nutrition, Beijing Engineering Technology Research Center of Raw Milk Quality and Safety Control, College of Animal Science and Technology, China Agricultural University, Beijing, China.
Jun ZhangState Key Laboratory of Animal Nutrition, Beijing Engineering Technology Research Center of Raw Milk Quality and Safety Control, College of Animal Science and Technology, China Agricultural University, Beijing, China.
Yajing WangState Key Laboratory of Animal Nutrition, Beijing Engineering Technology Research Center of Raw Milk Quality and Safety Control, College of Animal Science and Technology, China Agricultural University, Beijing, China.
Zhijun CaoState Key Laboratory of Animal Nutrition, Beijing Engineering Technology Research Center of Raw Milk Quality and Safety Control, College of Animal Science and Technology, China Agricultural University, Beijing, China.
Shengli LiState Key Laboratory of Animal Nutrition, Beijing Engineering Technology Research Center of Raw Milk Quality and Safety Control, College of Animal Science and Technology, China Agricultural University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we examined differences between the microbiota of the ruminal fluid (DR) and feces (DF) from five lactating dairy cows over three consecutive days using 16S rRNA gene sequence-based analysis. Results showed significant differences between the microbial communities of the DR and DF. In particular, the relative abundance of the phyla Firmicutes and Actinobacteria was significantly lower (q < 0.001) in DR compared with DF, while the relative abundance of Bacteroidetes was significantly higher in DF than that of DR (q < 0.001). A significantly higher relative abundance of the genera Bifidobacterium, 5-7N15, Clostridium, Epulopiscium, SMB53, Turicibacter, Dorea, Roseburia, and Akkermansia was observed in the DF, while a higher relative abundance of the genera Prevotella, Butyrivibrio, CF231, RFN20, and Succiniclasticum was observed in the DR. A further analysis using the functional prediction program PICRUSt showed that sequences belonging to the 5-7N15, Akkermansia, Bifidobacterium, Clostridium, Dorea, Epulopiscium, Roseburia, and Turicibacter were significantly and positively correlated with glycan biosynthesis and metabolism, while CF231, Prevotella, RFN20, and Succiniclasticum were significantly and positively correlated with amino acid, lipid, carbohydrate, other amino acid, cofactors, and vitamins metabolism. No significant differences were observed across the three consecutive days in either the DR or DF ecosystems, with no significant differences in the diversity or abundance at the phylum and genus levels suggested that there is a limited day-to-day variability in the gut microbiota.

Indexed as

Gastrointestinal MicrobiomeAnimalsBacteriaBiodiversityCattleDNA, BacterialFecesFemaleRNA, Ribosomal, 16SRumenSequence Analysis, DNADNA, BacterialRNA, Ribosomal, 16Sbacterial communitydairy cowfecesrumen fluid

Identifiers

PMID32175695
PMCPMC7221419

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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.