Evaluation of inhibitor of apoptosis genes as targets for RNAi-mediated control of insect pests.
June-Sun YoonJinmo KooSmitha GeorgeSubba Reddy PalliPublished in: Archives of insect biochemistry and physiology (2020)
Apoptosis has been widely studied from mammals to insects. Inhibitor of apoptosis (IAP) protein is a negative regulator of apoptosis. Recent studies suggest that iap genes could be excellent targets for RNA interference (RNAi)-mediated control of insect pests. However, not much is known about iap genes in one of the well-known insect model species, Tribolium castaneum. The orthologues of five iap genes were identified in T. castaneum by searching its genome at NCBI (https://www.ncbi.nlm.nih.gov/) and UniProt (https://www.uniprot.org/) databases using Drosophila melanogaster and Aedes aegypti IAP protein sequences as queries. RNAi assays were performed in T. castaneum cell line (TcA) and larvae. The knockdown of iap1 gene induced a distinct apoptotic phenotype in TcA cells and induced 91% mortality in T. castaneum larvae. Whereas, knockdown of iap5 resulted in a decrease in cell proliferation in TcA cells and developmental defects in T. castaneum larvae which led to 100% mortality. Knockdown of the other three iap genes identified did not cause a significant effect on cells or insects. These data increase our understanding of iap genes in insects and provide opportunities for developing iap1 and iap5 as targets for RNAi-based insect pest control.
Keyphrases
- cell cycle arrest
- aedes aegypti
- cell death
- genome wide
- induced apoptosis
- endoplasmic reticulum stress
- pi k akt
- drosophila melanogaster
- genome wide identification
- oxidative stress
- zika virus
- cell proliferation
- bioinformatics analysis
- genome wide analysis
- cardiovascular events
- signaling pathway
- diabetic rats
- dna methylation
- transcription factor
- high glucose
- risk factors
- gene expression
- small molecule
- machine learning
- cardiovascular disease
- coronary artery disease
- binding protein
- endothelial cells
- artificial intelligence
- anti inflammatory