Evidence map›Paper›PMID 33413128›Full record

ArticleBMC microbiology2021

Metagenomic analysis revealed a wide distribution of antibiotic resistance genes and biosynthesis of antibiotics in the gut of giant pandas.

Ghulam Raza Mustafa, Caiwu Li, Siyue Zhao, Lei Jin, Xueping He, Muhammad Zubair Shabbir, Yongguo He, Ti Li, Wenwen Deng, Lin Xu and 5 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

13 citing papers in PubMed, 25 citations in OpenAlex.

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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

15 authors at 3 institutions in 2 countries.

Ghulam Raza MustafaDepartment of Applied Microbiology, College of Resources, Sichuan Agricultural University, Chengdu, 611130, China.
Caiwu LiKey Laboratory of State Forestry and Grassland Administration (SFGA) on Conservation Biology of Rare Animals in the Giant Panda National Park, The China Conservation and Research Center for the Giant Panda (CCRCGP), Dujiangyan, 611830, China.
Siyue ZhaoDepartment of Applied Microbiology, College of Resources, Sichuan Agricultural University, Chengdu, 611130, China.
Lei JinDepartment of Applied Microbiology, College of Resources, Sichuan Agricultural University, Chengdu, 611130, China.
Xueping HeDepartment of Applied Microbiology, College of Resources, Sichuan Agricultural University, Chengdu, 611130, China.
Muhammad Zubair ShabbirInstitute of Microbiology, The University of Veterinary and Animal Sciences, Lahore, 54600, Pakistan.
Yongguo HeKey Laboratory of State Forestry and Grassland Administration (SFGA) on Conservation Biology of Rare Animals in the Giant Panda National Park, The China Conservation and Research Center for the Giant Panda (CCRCGP), Dujiangyan, 611830, China.
Ti LiKey Laboratory of State Forestry and Grassland Administration (SFGA) on Conservation Biology of Rare Animals in the Giant Panda National Park, The China Conservation and Research Center for the Giant Panda (CCRCGP), Dujiangyan, 611830, China.
Wenwen DengKey Laboratory of State Forestry and Grassland Administration (SFGA) on Conservation Biology of Rare Animals in the Giant Panda National Park, The China Conservation and Research Center for the Giant Panda (CCRCGP), Dujiangyan, 611830, China.
Lin XuKey Laboratory of State Forestry and Grassland Administration (SFGA) on Conservation Biology of Rare Animals in the Giant Panda National Park, The China Conservation and Research Center for the Giant Panda (CCRCGP), Dujiangyan, 611830, China.
Yaowu XiongKey Laboratory of State Forestry and Grassland Administration (SFGA) on Conservation Biology of Rare Animals in the Giant Panda National Park, The China Conservation and Research Center for the Giant Panda (CCRCGP), Dujiangyan, 611830, China.
Guiquan ZhangKey Laboratory of State Forestry and Grassland Administration (SFGA) on Conservation Biology of Rare Animals in the Giant Panda National Park, The China Conservation and Research Center for the Giant Panda (CCRCGP), Dujiangyan, 611830, China.
Hemin ZhangKey Laboratory of State Forestry and Grassland Administration (SFGA) on Conservation Biology of Rare Animals in the Giant Panda National Park, The China Conservation and Research Center for the Giant Panda (CCRCGP), Dujiangyan, 611830, China.
Yan HuangKey Laboratory of State Forestry and Grassland Administration (SFGA) on Conservation Biology of Rare Animals in the Giant Panda National Park, The China Conservation and Research Center for the Giant Panda (CCRCGP), Dujiangyan, 611830, China. pandayard@hotmail.com.
Likou ZouDepartment of Applied Microbiology, College of Resources, Sichuan Agricultural University, Chengdu, 611130, China. zoulikou@sicau.edu.cn.ORCID 0000-0002-5635-8277
Chengdu Research Base of Giant Panda Breeding · CNSichuan Agricultural University · CNUniversity of Veterinary and Animal Sciences · PK

Funding

International Cooperation project of giant panda GH201709Key Laboratory of SFGA on Conservation Biology of Rare Animals in the Giant Panda National Park (CCRCGP) KLSFGAGP2020.003State Forestry Administration No. 2017115
6 · The paper itself

Abstract

backgroundThe gut microbiome is essential for the host's health and serves as an essential reservoir of antibiotic resistance genes (ARGs). We investigated the effects of different factors, including the dietary shifts and age, on the functional characteristics of the giant panda's gut microbiome (GPs) through shotgun metagenome sequencing. We explored the association between gut bacterial genera and ARGs within the gut based on network analysis.

resultsFecal samples (n=60) from captive juvenile, adult, and geriatric GPs were processed, and variations were identified in the gut microbiome according to different ages, the abundance of novel ARGs and the biosynthesis of antibiotics. Among 667 ARGs identified, nine from the top ten ARGs had a higher abundance in juveniles. For 102 ARGs against bacteria, a co-occurrence pattern revealed a positive association for predominant ARGs with Streptococcus. A comparative KEGG pathways analysis revealed an abundant biosynthesis of antibiotics among three different groups of GPs, where it was more significantly observed in the juvenile group. A co-occurrence pattern further revealed a positive association for the top ten ARGs, biosynthesis of antibiotics, and metabolic pathways.

conclusionGut of GPs serve as a reservoir for novel ARGs and biosynthesis of antibiotics. Dietary changes and age may influence the gut microbiome's functional characteristics; however, it needs further studies to ascertain the study outcomes.

Indexed as

Age FactorsAnimalsAnti-Bacterial AgentsBacteriaBacterial ProteinsBiosynthetic PathwaysDrug Resistance, BacterialFecesGastrointestinal MicrobiomeMetagenomicsPhylogenySequence Analysis, DNAUrsidaeAnti-Bacterial AgentsBacterial ProteinsAntibiotic resistance geneBiosynthesis of antibioticsGiant pandaGut microbiomeMetagenome

Identifiers

PMID33413128
PMCPMC7792088
OpenAlexW3118831646

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.