Evidence map›Paper›PMID 30848054›Full record

ArticleMicrobiologyOpen2019

Characterizing the microbiota in gastrointestinal tract segments of Rhabdophis subminiatus: Dynamic changes and functional predictions.

Wenjiao Tang, Guangxiang Zhu, Qian Shi, Shijun Yang, Tianyuan Ma, Shailendra Kumar Mishra, Anxiang Wen, Huailiang Xu, Qin Wang, Yanzhi Jiang and 4 more

Open access · goldAbstract read
In one paragraph

Article in MicrobiologyOpen, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

27 citing papers in PubMed, 37 citations in OpenAlex.

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  13. Comparative Analyses ofEcology and evolution · 2024
    Article
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  17. Article
  18. Role of the gut microbiota in hematologic cancer.Frontiers in microbiology · 2023
    Review
  19. Article
  20. Review
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

14 authors at 1 institution in 1 country.

Wenjiao TangCollege of Life Science, Sichuan Agricultural University, Ya'an, China.
Guangxiang ZhuCollege of Life Science, Sichuan Agricultural University, Ya'an, China.
Qian ShiCollege of Life Science, Sichuan Agricultural University, Ya'an, China.
Shijun YangCollege of Life Science, Sichuan Agricultural University, Ya'an, China.
Tianyuan MaFarm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, China.
Shailendra Kumar MishraFarm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, China.
Anxiang WenCollege of Life Science, Sichuan Agricultural University, Ya'an, China.
Huailiang XuCollege of Life Science, Sichuan Agricultural University, Ya'an, China.
Qin WangCollege of Life Science, Sichuan Agricultural University, Ya'an, China.
Yanzhi JiangCollege of Life Science, Sichuan Agricultural University, Ya'an, China.
Jiayun WuCollege of Life Science, Sichuan Agricultural University, Ya'an, China.
Meng XieCollege of Life Science, Sichuan Agricultural University, Ya'an, China.
Yongfang YaoCollege of Life Science, Sichuan Agricultural University, Ya'an, China.
Diyan LiFarm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, China.ORCID http://orcid.org/0000-0001-7490-3550
Sichuan Agricultural University · CN

Funding

China Postdoctoral Science Foundation 2016M592688National Natural Science Foundation of China 31401959
6 · The paper itself

Abstract

The gut microbiota helps the host to absorb nutrients and generate immune responses that can affect host behavior, development, reproduction, and overall health. However, in most of the previous studies, microbiota was sampled mainly using feces and intestinal contents from mammals but not from wild reptiles. Here, we described the bacterial profile from five different gastrointestinal tract (GIT) segments (esophagus, stomach, small intestine, large intestine, and cloaca) of three wild Rhabdophis subminiatus using 16S rRNA V4 hypervariable amplicon sequencing. Forty-seven bacterial phyla were found in the entire GIT, of which Proteobacteria, Firmicutes, and Bacteroidetes were predominant. The results showed a significant difference in microbial diversity between the upper GIT segments (esophagus and stomach) and lower GIT segments (large intestine and cloaca). An obvious dynamic distribution of Fusobacteria and Bacteroidetes was observed, which mainly existed in the lower GIT segments. Conversely, the distribution of Tenericutes was mainly observed in the upper GIT. We also predicted the microbial functions in the different GIT segments, which showed that microbiota in each segments played an important role in higher membrane transport and carbohydrate and amino acid metabolism. Microbes in the small intestine were also mainly involved in disease-related systems, while in the large intestine, they were associated with membrane transport and carbohydrate metabolism. This is the first study to investigate the distribution of the gut microbiota and to predict the microbial function in R. subminiatus. The composition of the gut microbiota certainly reflects the diet and the living environment of the host. Furthermore, these findings provide vital evidence for the diagnosis and treatment of gut diseases in snakes and offer a direction for a model of energy budget research.

Indexed as

dietsgut microbiotamicrobial functionProteobacteriaRhabdophis subminiatus

Identifiers

PMID30848054
PMCPMC6612554
OpenAlexW2922290845

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LicenceCC BY
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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.