Protein-protein interaction network analysis of insecticide resistance molecular mechanism in Drosophila melanogaster.


Journal

Archives of insect biochemistry and physiology
ISSN: 1520-6327
Titre abrégé: Arch Insect Biochem Physiol
Pays: United States
ID NLM: 8501752

Informations de publication

Date de publication:
Jan 2019
Historique:
received: 16 09 2018
revised: 15 10 2018
accepted: 27 10 2018
pubmed: 28 11 2018
medline: 27 1 2019
entrez: 28 11 2018
Statut: ppublish

Résumé

The problem of resistance has not been solved fundamentally at present, because the development speed of new insecticides can not keep pace with the development speed of resistance, and the lack of understanding of molecular mechanism of resistance. Here we collected seed genes and their interacting proteins involved in insecticide resistance molecular mechanism in Drosophila melanogaster by literature mining and the String database. We identified a total of 528 proteins and 13514 protein-protein interactions. The protein interaction network was constructed by String and Pajek, and we analyzed the topological properties, such as degree centrality and eigenvector centrality. Proteasome complexes and drug metabolism-cytochrome P450 were an enrichment by Gene Ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. This is the first time to explore the insecticide resistance molecular mechanism of D. melanogaster by the methods and tools of network biology, it can provide the bioinformatic foundation for further understanding the mechanisms of insecticide resistance.

Identifiants

pubmed: 30478906
doi: 10.1002/arch.21523
doi:

Substances chimiques

Insecticides 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e21523

Subventions

Organisme : National Key Research and Development Program, Ministry of Science and Technology, China
ID : 2017YFD0201204

Informations de copyright

© 2018 Wiley Periodicals, Inc.

Auteurs

GuiLu Zhang (G)

School of Life Sciences, Sun Yat-Sen University, Guangzhou, China.

WenJun Zhang (W)

School of Life Sciences, Sun Yat-Sen University, Guangzhou, China.

Articles similaires

Robotic Surgical Procedures Animals Humans Telemedicine Models, Animal

Odour generalisation and detection dog training.

Lyn Caldicott, Thomas W Pike, Helen E Zulch et al.
1.00
Animals Odorants Dogs Generalization, Psychological Smell
Animals TOR Serine-Threonine Kinases Colorectal Neoplasms Colitis Mice
Animals Tail Swine Behavior, Animal Animal Husbandry

Classifications MeSH