Evidence map›Paper›PMID 31190085›Full record

ArticleArchives of microbiology2019

Isolation and identification of the Raoultella ornithinolytica-ZK4 degrading pyrethroid pesticides within soil sediment from an abandoned pesticide plant.

Xiaoqing Zhang, Xiangxiang Hao, Shanshan Huo, Wanzhong Lin, Xinxin Xia, Kuai Liu, Bihua Duan

Open access · hybridAbstract read
In one paragraph

Article in Archives of microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

17 citing papers in PubMed, 48 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Journal of microbiology and biotechnology · 2023
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Novel Mechanism and Kinetics of Tetramethrin Degradation Using an IndigenousInternational journal of molecular sciences · 2021
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Emergence of NDM-1- and CTX-M-3-ProducingFrontiers in microbiology · 2019
    Article
  17. Review
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

7 authors at 1 institution in 1 country.

Xiaoqing ZhangCollege of Plant Science and Technology, Beijing University of Agriculture/Beijing Key Laboratory of Agricultural Application Technology, No.7 Beinong Road, Changping District, Beijing, 102206, China.
Xiangxiang HaoCollege of Plant Science and Technology, Beijing University of Agriculture/Beijing Key Laboratory of Agricultural Application Technology, No.7 Beinong Road, Changping District, Beijing, 102206, China.
Shanshan HuoCollege of Plant Science and Technology, Beijing University of Agriculture/Beijing Key Laboratory of Agricultural Application Technology, No.7 Beinong Road, Changping District, Beijing, 102206, China.
Wanzhong LinCollege of Plant Science and Technology, Beijing University of Agriculture/Beijing Key Laboratory of Agricultural Application Technology, No.7 Beinong Road, Changping District, Beijing, 102206, China.
Xinxin XiaCollege of Plant Science and Technology, Beijing University of Agriculture/Beijing Key Laboratory of Agricultural Application Technology, No.7 Beinong Road, Changping District, Beijing, 102206, China.
Kuai LiuCollege of Plant Science and Technology, Beijing University of Agriculture/Beijing Key Laboratory of Agricultural Application Technology, No.7 Beinong Road, Changping District, Beijing, 102206, China.
Bihua DuanCollege of Plant Science and Technology, Beijing University of Agriculture/Beijing Key Laboratory of Agricultural Application Technology, No.7 Beinong Road, Changping District, Beijing, 102206, China. dbhbac@sohu.com.ORCID http://orcid.org/0000-0002-4853-3127
Beijing University of Agriculture · CN

Funding

Natural Science Foundation of Beijing, China No.5152006
6 · The paper itself

Abstract

We examined how Raoultella ornithinolytica-ZK4 degraded pyrethroid pesticides within soil sediment from an abandoned pesticide plant. Lambda-cypermethrin and deltamethrin are two pyrethroid insecticides with high insecticidal activity and a wide range of applications. However, their increased use has raised concerns regarding toxicity and accumulation. We isolated a strain of ZK4 (Raoultella ornithinolytica-ZK4) from soil taken from a channel that surrounded a pesticide plant. We used enzyme localization to study degrading bacteria ZK4. The ZK4 strain underwent intracellular enzyme degradation. The degradation rates of lambda-cyhalothrin and deltamethrin were 55% and 53%, respectively. The optimum pH of the two kinds of pyrethroids in ZK4 was 6.5, and their optimum temperature was 37 °C. The intracellular degradation of the crude enzyme produced by the ZK4 strain had a pH of 6.0-8.0 and a temperature of 20-42 °C. The ZK4 strain genome contained 5310 genes with a total length of 4,864,494 bp. Sugar metabolism and exogenous chemical metabolism accounted for the largest proportion of metabolic activities. We used the clusters of orthologous groups (COG) alignment and found numbers for 4686 protein sequences, accounting for 88.25% of the total predicted protein. ZK4 degraded lambda-cyhalothrin and deltamethrin, and may serve as a reference for the preparation of future degrading microbial agents to assist with environmental restoration efforts.

Indexed as

Biodegradation, EnvironmentalEnterobacteriaceaeInsecticidesNitrilesPyrethrinsSoilSoil PollutantsTemperaturecyhalothrincypermethrindecamethrinInsecticidesNitrilesPyrethrinsSoilSoil PollutantsDegradation rateGenome sequencingPesticide-degrading enzymePyrethroidStrain ZK4

Identifiers

PMID31190085
PMCPMC6790199
OpenAlexW2949569115

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.