Evidence map›Paper›PMID 17668262›Full record

ArticleMicrobial ecology2008

Diverse tetracycline resistant bacteria and resistance genes from coastal waters of Jiaozhou Bay.

Hongyue Dang, Jing Ren, Linsheng Song, Song Sun, Liguo An

Abstract read
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Article in Microbial ecology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
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  10. Transcriptomic Analyses ofFrontiers in microbiology · 2017
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  12. Review
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  20. The effect of heavy metal contamination on the bacterial community structure at Jiaozhou Bay, China.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology]
    Article
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.

Hongyue DangKey Laboratory of Marine Geology and Environment, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, People's Republic of China. hydang@ms.qdio.ac.cn.
Jing Ren
Linsheng Song
Song Sun
Liguo An

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Environmental microbiology investigation was carried out in Jiaozhou Bay to determine the source and distribution of tetracycline-resistant bacteria and their resistance mechanisms. At least 25 species or the equivalent molecular phylogenetic taxa in 16 genera of resistant bacteria could be identified based on 16S ribosomal deoxyribonucleic acid sequence analysis. Enterobacteriaceae, Pseudomonadaceae, and Vibrionaceae constituted the majority of the typical resistant isolates. Indigenous estuarine and marine Halomonadaceae, Pseudoalteromonadaceae, Rhodobacteraceae, and Shewanellaceae bacteria also harbored tetracycline resistance. All the six resistance determinants screened, tet(A)-(E) and tet(G), could be detected, and the predominant genes were tet(A), tet(B), and tet(G). Both anthropogenic activity-related and indigenous estuarine or coastal bacteria might contribute to the tet gene reservoir, and resistant bacteria and their molecular determinants may serve as bioindicators of coastal environmental quality. Our work probably is the first identification of tet(E) in Proteus, tet(G) in Acinetobacter, tet(C) and tet(D) in Halomonas, tet(D) and tet(G) in Shewanella, and tet(B), tet(C), tet(E), and tet(G) in Roseobacter.

Indexed as

Tetracycline ResistanceAnti-Bacterial AgentsBacteriaBacterial ProteinsBiodiversityChinaColony Count, MicrobialDNA, BacterialDNA, RibosomalMicrobial Sensitivity TestsMolecular Sequence DataPhylogenyPolymerase Chain ReactionRNA, Ribosomal, 16SSeawaterTetracyclineAnti-Bacterial AgentsBacterial ProteinsDNA, BacterialDNA, RibosomalRNA, Ribosomal, 16STetracycline

Identifiers

What OpenQuestion holds

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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.