Evidence map›Paper›PMID 27628212›Full record

ArticleScientific reports2016

Effects of captivity and artificial breeding on microbiota in feces of the red-crowned crane (Grus japonensis).

Yuwei Xie, Pu Xia, Hui Wang, Hongxia Yu, John P Giesy, Yimin Zhang, Miguel A Mora, Xiaowei Zhang

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing 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

46 citing papers in PubMed.

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  12. Comparison of the Gut Microbial Communities of Domestic and Wild Mallards (Animals : an open access journal from MDPI · 2023
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  13. Review
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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.

Yuwei XieState Key Laboratory of Pollution Control &Resource Reuse, School of the Environment, Nanjing University, Nanjing, China.
Pu XiaState Key Laboratory of Pollution Control &Resource Reuse, School of the Environment, Nanjing University, Nanjing, China.
Hui WangAdministration of Yancheng National Natural Reserve, Yancheng, China.
Hongxia YuState Key Laboratory of Pollution Control &Resource Reuse, School of the Environment, Nanjing University, Nanjing, China.
John P GiesyState Key Laboratory of Pollution Control &Resource Reuse, School of the Environment, Nanjing University, Nanjing, China.
Yimin ZhangNanjing Institute of Environmental Sciences (NIES), Ministry of Environmental Protection, Nanjing, China.
Miguel A MoraDepartment of Wildlife and Fisheries Sciences, Texas A&M University, College Station, TX, USA.
Xiaowei ZhangState Key Laboratory of Pollution Control &Resource Reuse, School of the Environment, Nanjing University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reintroduction of the threatened red-crowned crane has been unsuccessful. Although gut microbiota correlates with host health, there is little information on gut microbiota of cranes under different conservation strategies. The study examined effects of captivity, artificial breeding and life stage on gut microbiota of red-crown cranes. The gut microbiotas of wild, captive adolescent, captive adult, artificially bred adolescent and artificially bred adult cranes were characterized by next-generation sequencing of 16S rRNA gene amplicons. The gut microbiotas were dominated by three phyla: Firmicutes (62.9%), Proteobacteria (29.9%) and Fusobacteria (9.6%). Bacilli dominated the 'core' community consisting of 198 operational taxonomic units (OTUs). Both captivity and artificial breeding influenced the structures and diversities microbiota of the gut. Especially, wild cranes had distinct compositions of gut microbiota from captive and artificially bred cranes. The greatest alpha diversity was found in captive cranes, while wild cranes had the least. According to the results of ordination analysis, influences of captivity and artificial breeding were greater than that of life stage. Overall, captivity and artificial breeding influenced the gut microbiota, potentially due to changes in diet, vaccination, antibiotics and living conditions. Metagenomics can serve as a supplementary non-invasive screening tool for disease control.

Indexed as

BreedingMicrobiotaAnalysis of VarianceAnimalsBacteriaBiodiversityBirdsFecesHigh-Throughput Nucleotide SequencingLife Cycle StagesPhylogenyPrincipal Component AnalysisRNA, Ribosomal, 16SZoonosesRNA, Ribosomal, 16S

Identifiers

PMID27628212
PMCPMC5024133

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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.