Environmental Science and Pollution Research

, Volume 25, Issue 12, pp 11505–11515 | Cite as

Screening cyhalothrin degradation strains from locust epiphytic bacteria and studying Paracoccus acridae SCU-M53 cyhalothrin degradation process

  • Jiewei Tian
  • Xiufeng Long
  • Shuai Zhang
  • Qiumian Qin
  • Longzhan Gan
  • Yongqiang Tian
Research Article


All locust epiphytic bacteria were screened and a total of 62 epiphytic bacteria were obtained from samples of Acrida cinerea. Via phylogenetic analysis, the 62 epiphytic bacteria were allocated to 27 genera, 18 families, 13 orders, six classes, and four phylums. Then, cyhalothrin degradation experiments were conducted, and the 10 strains that degraded more than 30% cyhalothrin and Paracoccus acridae SCU-M53 showed the highest cyhalothrin degradation rate of 70.5%. Furthermore, Paracoccus acridae SCU-M53 was selected for optimal cyhalothrin biodegradation conditions via the response surface method (Design-Expert). Under the optimum conditions (28 °C, 75 mg/L, and 180 rpm), the cyhalothrin degradation rate reached 79.84% after 2 days. This suggests the possibility that isolating biodegradation cyhalothrin strains from Acrida cinerea is feasible.


Epiphytic bacteria Biodiversity Cyhalothrin Biodegradation Acrida cinerea 


Funding information

This study was supported by the National Key Research and Development Program of China (2017YFB0308401), the Chengdu Science and Technology Huimin Program (2016-HM01-00409-SF), and the Fundamental Research Funds for the Central Universities.

Supplementary material

11356_2018_1410_MOESM1_ESM.docx (16 kb)
Table S1 (DOCX 16 kb)
11356_2018_1410_Fig10_ESM.gif (7 kb)
Figure S1

Neighbour joining tree for Actinobacteria associated with Acrida cinerea based on partial sequences of the 16S rRNA gene. The tree was constructed by using Kimura 2-parameter model in MEGA 7.0. Bar 0.02 expected changes per site. Bootstrap values (1000 replications) > are shown. (GIF 7 kb)

11356_2018_1410_MOESM2_ESM.tif (2.6 mb)
High resolution image (TIFF 2613 kb)
11356_2018_1410_Fig11_ESM.gif (6 kb)
Figure S2

Neighbour joining tree for Bacilli associated with Acrida cinerea based on partial sequences of the 16S rRNA gene. The tree was constructed by using Kimura 2-parameter model in MEGA 7.0. Bar 0.01 expected changes per site. Bootstrap values (1000 replications) > are shown. (GIF 6 kb)

11356_2018_1410_MOESM3_ESM.tif (2.1 mb)
High resolution image (TIFF 2158 kb)
11356_2018_1410_Fig12_ESM.gif (8 kb)
Figure S3

Neighbour joining tree for betaproteobacteria and alphaproteobacteria associated with Acrida cinerea based on partial sequences of the 16S rRNA gene. The tree was constructed by using Kimura 2-parameter model in MEGA 7.0. Bar 0.02 expected changes per site. Bootstrap values (1000 replications) > are shown. (GIF 7 kb)

11356_2018_1410_MOESM4_ESM.tif (2.6 mb)
High resolution image (TIFF 2674 kb)
11356_2018_1410_Fig13_ESM.gif (13 kb)
Figure S4

Neighbour joining tree for Gammproteobacteria associated with Acrida cinerea based on partial sequences of the 16S rRNA gene. The tree was constructed by using Kimura 2-parameter model in MEGA 7.0. Bar 0.01 expected changes per site. Bootstrap values (1000 replications) > are shown. (GIF 12 kb)

11356_2018_1410_MOESM5_ESM.tif (5 mb)
High resolution image (TIFF 5118 kb)
11356_2018_1410_Fig14_ESM.gif (8 kb)
Figure S5

Neighbour joining tree for Sphingomonas associated with Acrida cinerea based on partial sequences of the 16S rRNA gene. The tree was constructed by using Kimura 2-parameter model in MEGA 7.0. Bar 0.02 expected changes per site. Bootstrap values (1000 replications) > are shown. (GIF 7 kb)

11356_2018_1410_MOESM6_ESM.tif (3.4 mb)
High resolution image (TIFF 3479 kb)


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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Jiewei Tian
    • 1
  • Xiufeng Long
    • 1
  • Shuai Zhang
    • 1
  • Qiumian Qin
    • 1
  • Longzhan Gan
    • 1
  • Yongqiang Tian
    • 1
  1. 1.Key Laboratory of Leather Chemistry and Engineering(Sichuan University), Ministry of Education and College of Light Industry, Textile & Food EngineeringSichuan UniversityChengduPeople’s Republic of China

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