Evidence map›Paper›PMID 31471685›Full record

ArticleCurrent microbiology2019

Genome Analysis Revealing the Potential Mechanisms for the Heavy Metal Resistance of Pseudomonas sp. P11, Isolated from Industrial Wastewater Sediment.

Zhenjun Yan, Minglan Li, Jingsong Wang, Jicheng Pan

Abstract read
PubMed Publisher
In one paragraph

Article in Current microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 43% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 1 institution in 1 country.

Zhenjun YanHubei Key Laboratory of Edible Wild Plants Conservation and Utilization & College of Life Sciences, Hubei Normal University, Huangshi, 435002, Hubei, People's Republic of China.
Minglan LiHubei Key Laboratory of Edible Wild Plants Conservation and Utilization & College of Life Sciences, Hubei Normal University, Huangshi, 435002, Hubei, People's Republic of China.
Jingsong WangHubei Key Laboratory of Edible Wild Plants Conservation and Utilization & College of Life Sciences, Hubei Normal University, Huangshi, 435002, Hubei, People's Republic of China.
Jicheng PanHubei Key Laboratory of Edible Wild Plants Conservation and Utilization & College of Life Sciences, Hubei Normal University, Huangshi, 435002, Hubei, People's Republic of China. panproteins@email.hbnu.edu.cn.
Hubei Normal University · CN

Funding

the Natural Science Foundation of Hubei Province, China 2012FFB01804
6 · The paper itself

Abstract

Pseudomonas sp. P11 was isolated from the industrial wastewater sediment nearby the Daye Non-ferrous Metals Company, China. This strain possesses the ability to resist various heavy metals and efficiently precipitate arsenic. We here present a summary classification and a set of features of Pseudomonas sp. P11, together with the description of the genomic sequencing and annotation. The genomic sequence is 6,644,817 bp with a G+C content of 62.20% and contains 6143 protein-coding genes, 250 pseudo genes, and 76 tRNAs/rRNAs genes. Operons and gene clusters responsible for multiple heavy metal tolerance or detoxification were identified and accounted for the observed resistance phenotypes. Phylogenetic analysis revealed that the paralogous arsenic resistant genes possess different evolutionary paths. This study provides important insights to illuminate the versatility and adaptation of this strain to the heavy metal-contaminated environment.

Indexed as

Genome, BacterialArsenicBase CompositionChinaGeologic SedimentsMetals, HeavyPhylogenyPseudomonasWastewaterArsenicMetals, HeavyWastewater

Identifiers

PMID31471685
OpenAlexW2970786426

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.