Evidence map›Paper›PMID 28900198›Full record

ArticleScientific reports2017

Analysis and comparison of the wolf microbiome under different environmental factors using three different data of Next Generation Sequencing.

Xiaoyang Wu, Huanxin Zhang, Jun Chen, Shuai Shang, Jiakuo Yan, Yao Chen, Xuexi Tang, Honghai Zhang

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

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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.

Xiaoyang WuCollege of Life Science, Qufu Normal University, Qufu, Shandong, P.R. China.
Huanxin ZhangCollege of Marine Life Sciences, Ocean University of China, Qingdao, P.R. China.
Jun ChenCollege of Life Science, Qufu Normal University, Qufu, Shandong, P.R. China.
Shuai ShangCollege of Marine Life Sciences, Ocean University of China, Qingdao, P.R. China.
Jiakuo YanCollege of Life Science, Qufu Normal University, Qufu, Shandong, P.R. China.
Yao ChenCollege of Life Science, Qufu Normal University, Qufu, Shandong, P.R. China.
Xuexi TangCollege of Marine Life Sciences, Ocean University of China, Qingdao, P.R. China. tangxx@ouc.edu.
Honghai ZhangCollege of Life Science, Qufu Normal University, Qufu, Shandong, P.R. China. zhanghonghai67@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Next Generation Sequencing has been widely used to characterize the prevalence of fecal bacteria in many different species. In this study, we attempted to employ a low-cost and high-throughput sequencing model to discern information pertaining to the wolf microbiota. It is hoped that this model will allow researchers to elucidate potential protective factors in relation to endangered wolf species. We propose three high-throughput sequencing models to reveal information pertaining to the micro-ecology of the wolf. Our analyses advised that, among the three models, more than 100,000 sequences are more appropriate to retrieve the communities' richness and diversity of micro-ecology. In addition, the top five wolf microbiome OTUs (99%) were members of the following five phyla: Bacteroidetes, Fusobacteria, Firmicutes, Proteobacteria, and Actinobacteria. While Alloprevotella, Clostridium_sensu_stricto_1, Anaerobiospirillum, Faecalibactreium and Streptococcus were shared by all samples, their relative abundances were differentially represented between domestic dogs and other wolves. Our findings suggest that altitude, human interference, age, and climate all contribute towards the micro-ecology of the wolf. Specifically, we observed that genera Succinivibrio and Turicibacter are significantly related to altitude and human interference (including hunting practices).

Indexed as

EnvironmentMicrobiotaWolvesAnimalsBiodiversityComputational BiologyDogsFecesGastrointestinal MicrobiomeHigh-Throughput Nucleotide SequencingMetagenomeMetagenomicsPhylogeny

Identifiers

PMID28900198
PMCPMC5596057

What OpenQuestion holds

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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.