Evidence map›Paper›PMID 28220441›Full record

ArticleEnvironmental monitoring and assessment2017

Diversity of crude oil-degrading bacteria and alkane hydroxylase (alkB) genes from the Qinghai-Tibet Plateau.

Haozhi Long, Yilin Wang, Sijing Chang, Guangxiu Liu, Tuo Chen, Guanghua Huo, Wei Zhang, Xiukun Wu, Xisheng Tai, Likun Sun and 1 more

Abstract read
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In one paragraph

Article in Environmental monitoring and assessment, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

10 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Transcriptome analysis of Acinetobacter calcoaceticus HX09 strain with outstanding crude-oil-degrading ability.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2024
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  4. 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

11 authors at 2 institutions in 1 country.

Haozhi LongCollege of Bioscience and Bioengineering, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045, China.
Yilin WangCollege of Bioscience and Bioengineering, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045, China.
Sijing ChangKey Laboratory of Extreme Environmental Microbial Resources and Engineering, Lanzhou, Gansu, 730000, China.
Guangxiu LiuKey Laboratory of Desert and Desertification, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou, Gansu, 730000, China. liugx@lzb.ac.cn.
Tuo ChenKey Laboratory of Extreme Environmental Microbial Resources and Engineering, Lanzhou, Gansu, 730000, China. chentuo@lzb.ac.cn.
Guanghua HuoCollege of Bioscience and Bioengineering, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045, China.
Wei ZhangKey Laboratory of Desert and Desertification, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou, Gansu, 730000, China.
Xiukun WuKey Laboratory of Desert and Desertification, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou, Gansu, 730000, China.
Xisheng TaiKey Laboratory of Desert and Desertification, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou, Gansu, 730000, China.
Likun SunKey Laboratory of Desert and Desertification, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou, Gansu, 730000, China.
Baogui ZhangKey Laboratory of Desert and Desertification, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou, Gansu, 730000, China.
Chinese Academy of Sciences · CNJiangxi Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to survey the response of the microbial community to crude oil and the diversity of alkane hydroxylase (alkB) genes in soil samples from the Qinghai-Tibet Plateau (QTP). The enrichment cultures and clone libraries were used. Finally, 53 isolates and 94 alkB sequences were obtained from 10 pristine soil samples after enrichment at 10 °C with crude oil as sole carbon source. The isolates fell into the phyla Proteobacteria, Actinobacteria, and Bacteroidetes, with the dominance of Pseudomonas and Acinetobacter. The composition of degraders was different from polar habitats where Acinetobacter sp. is not a predominant responder of alkane degradative microbial communities. Phylogenetic analysis showed that the alkB genes from isolates and enrichment communities formed eight clusters and mainly related with alkB genes of Pseudomonas, Rhodococcus, and Acinetobacter. The alkB gene diversity in the QTP was lower than marine environments and polar soil samples. In particular, a total of 10 isolates exhibiting vigorous growth with crude oil could detect no crude oil degradation-related gene sequences, such as alkB, P450, almA, ndoB, and xylE genes. The Shannon-Wiener index of the alkB clone libraries from the QTP ranged from 1.00 to 2.24 which is similar with polar pristine soil samples but lower than that of contaminated soils. These results indicated that the Pseudomonas, Acinetobacter, and Rhodococcus genera are the candidate for in situ bioremediation, and the environment of QTP may be still relatively uncontaminated by crude oil.

Indexed as

Soil MicrobiologyBacteriaBiodegradation, EnvironmentalCytochrome P-450 CYP4AEnvironmental MonitoringGenes, BacterialPetroleumPhylogenyTibetCytochrome P-450 CYP4APetroleumAlkane hydrolase geneCrude oil enrichmentDiversityQinghai-Tibet Plateau

Identifiers

PMID28220441
OpenAlexW2589179844

What OpenQuestion holds

Textmetadata
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.