Evidence map›Paper›PMID 28367147›Full record

ArticleFrontiers in microbiology2017

Multi-Omics Analysis Reveals a Correlation between the Host Phylogeny, Gut Microbiota and Metabolite Profiles in Cyprinid Fishes.

Tongtong Li, Meng Long, Huan Li, François-Joël Gatesoupe, Xujie Zhang, Qianqian Zhang, Dongyue Feng, Aihua Li

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

44 citing papers in PubMed.

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  9. The role of animal hosts in shaping gut microbiome variation.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Review
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  15. Bioinformatic and Statistical Analysis of Microbiome Data.Methods in molecular biology (Clifton, N.J.) · 2023
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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.

Tongtong LiState Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of SciencesWuhan, China; Key Laboratory of Environmental and Applied Microbiology, and Environmental Microbiology Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of SciencesChengdu, China.
Meng LongState Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences Wuhan, China.
Huan LiKey Laboratory of Environmental and Applied Microbiology, and Environmental Microbiology Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences Chengdu, China.
François-Joël GatesoupeNutrition, Métabolisme et Aquaculture, Institut National de la Recherche Agronomique, University of Pau and Pays de l'Adour Saint-Pée-sur-Nivelle, France.
Xujie ZhangCollege of Fisheries and Life Science, Shanghai Ocean University Shanghai, China.
Qianqian ZhangState Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of SciencesWuhan, China; Freshwater Aquaculture Collaborative Innovation Center of Hubei Province, Huazhong Agricultural UniversityWuhan, China.
Dongyue FengNational Fisheries Technical Extension Center, Ministry of Agriculture Beijing, China.
Aihua LiState Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of SciencesWuhan, China; Freshwater Aquaculture Collaborative Innovation Center of Hubei Province, Huazhong Agricultural UniversityWuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gut microbiota play key roles in host nutrition and metabolism. However, little is known about the relationship between host genetics, gut microbiota and metabolic profiles. Here, we used high-throughput sequencing and gas chromatography/mass spectrometry approaches to characterize the microbiota composition and the metabolite profiles in the gut of five cyprinid fish species with three different feeding habits raised under identical husbandry conditions. Our results showed that host species and feeding habits significantly affect not only gut microbiota composition but also metabolite profiles (ANOSIM,

Indexed as

correlationcyprinid fishesgut microbiotahost phylogenymetabolite profiles

Identifiers

PMID28367147
PMCPMC5355437

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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.