Evidence map›Paper›PMID 29375532›Full record

ArticleFrontiers in microbiology2017

Composition and Functional Specialists of the Gut Microbiota of Frogs Reflect Habitat Differences and Agricultural Activity.

Bing-Hong Huang, Chun-Wen Chang, Chih-Wei Huang, Jian Gao, Pei-Chun Liao

Open access · goldAbstract 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 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

31 citing papers in PubMed, 59 citations in OpenAlex.

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  12. Main Factors Influencing the Gut Microbiota of Datong Yaks in Mixed Group.Animals : an open access journal from MDPI · 2022
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  13. Article
  14. Geographical patterns ofFrontiers in microbiology · 2022
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  15. Article
  16. Seasonal Variation in Gut Microbiota Related to Diet inAnimals : an open access journal from MDPI · 2021
    Article
  17. Article
  18. The Oral Bacterial Community inMicroorganisms · 2021
    Article
  19. 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

5 authors at 2 institutions in 2 countries.

Bing-Hong HuangDepartment of Life Science, National Taiwan Normal University, Taipei, Taiwan.
Chun-Wen ChangDepartment of Life Science, National Taiwan Normal University, Taipei, Taiwan.
Chih-Wei HuangDepartment of Life Science, National Taiwan Normal University, Taipei, Taiwan.
Jian GaoThe Key Laboratory for Silviculture and Conservation of Ministry of Education, College of Forestry, Beijing Forestry University, Beijing, China.
Pei-Chun LiaoDepartment of Life Science, National Taiwan Normal University, Taipei, Taiwan.
National Taiwan Normal University · TWBeijing Forestry University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The physiological impact of agricultural pollution, habitat disturbance, and food source variability on amphibian remains poorly understood. By comparing the composition and predicted functions of gut microbiota of two frog species from forest and farmland, we quantified the effects of the exogenous environment and endogenous filters on gut microbiota and the corresponding functions. However, compositional differences of the gut microbiota between the frog species were not detected, even when removing roughly 80-88% of the confounding effect produced by common and shared bacteria (i.e., generalists) and those taxa deemed too rare. The habitat effect accounted for 14.1% of the compositional difference of gut microbial specialists, but host and host × habitat effects were not significant. Similar trends of a significant habitat effect, at an even higher level (26.0%), for the physiological and metabolic functions of gut microbiota was predicted. A very obvious skewing of the relative abundance of functional groups toward farmland habitats reflects the highly diverse bacterial functions of farmland frogs, in particular related to pathogenic disease and pesticide degradation, which may be indication of poor adaptation or strong selective pressure against disease. These patterns reflect the impacts of agricultural activities on frogs and how such stresses may be applied in an unequal manner for different frog species.

Indexed as

16S rRNA metagenomeadult Anuraagricultural activityfunctional predictionsgut microbiota

Identifiers

PMID29375532
PMCPMC5768659
OpenAlexW2783727945

What OpenQuestion holds

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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.