Combination of computational techniques and RNAi reveal targets in Anopheles gambiae for malaria vector control

PLoS One. 2024 Jul 5;19(7):e0305207. doi: 10.1371/journal.pone.0305207. eCollection 2024.

Abstract

Increasing reports of insecticide resistance continue to hamper the gains of vector control strategies in curbing malaria transmission. This makes identifying new insecticide targets or alternative vector control strategies necessary. CLassifier of Essentiality AcRoss EukaRyote (CLEARER), a leave-one-organism-out cross-validation machine learning classifier for essential genes, was used to predict essential genes in Anopheles gambiae and selected predicted genes experimentally validated. The CLEARER algorithm was trained on six model organisms: Caenorhabditis elegans, Drosophila melanogaster, Homo sapiens, Mus musculus, Saccharomyces cerevisiae and Schizosaccharomyces pombe, and employed to identify essential genes in An. gambiae. Of the 10,426 genes in An. gambiae, 1,946 genes (18.7%) were predicted to be Cellular Essential Genes (CEGs), 1716 (16.5%) to be Organism Essential Genes (OEGs), and 852 genes (8.2%) to be essential as both OEGs and CEGs. RNA interference (RNAi) was used to validate the top three highly expressed non-ribosomal predictions as probable vector control targets, by determining the effect of these genes on the survival of An. gambiae G3 mosquitoes. In addition, the effect of knockdown of arginase (AGAP008783) on Plasmodium berghei infection in mosquitoes was evaluated, an enzyme we computationally inferred earlier to be essential based on chokepoint analysis. Arginase and the top three genes, AGAP007406 (Elongation factor 1-alpha, Elf1), AGAP002076 (Heat shock 70kDa protein 1/8, HSP), AGAP009441 (Elongation factor 2, Elf2), had knockdown efficiencies of 91%, 75%, 63%, and 61%, respectively. While knockdown of HSP or Elf2 significantly reduced longevity of the mosquitoes (p<0.0001) compared to control groups, Elf1 or arginase knockdown had no effect on survival. However, arginase knockdown significantly reduced P. berghei oocytes counts in the midgut of mosquitoes when compared to LacZ-injected controls. The study reveals HSP and Elf2 as important contributors to mosquito survival and arginase as important for parasite development, hence placing them as possible targets for vector control.

MeSH terms

  • Animals
  • Anopheles* / genetics
  • Anopheles* / parasitology
  • Computational Biology / methods
  • Female
  • Genes, Essential
  • Humans
  • Malaria* / parasitology
  • Malaria* / prevention & control
  • Malaria* / transmission
  • Mice
  • Mosquito Control / methods
  • Mosquito Vectors* / genetics
  • Mosquito Vectors* / parasitology
  • Plasmodium berghei / genetics
  • RNA Interference*

Grants and funding

This research was funded by Deutsche Forschungsgemeinschaft (DFG) and Fogarty National Institutes of Health (NIH) Common Fund. 1. Deutsche Forschungsgemeinschaft (DFG) Authors: RK and EA Grant number: KO 3678/5-1 Full name: Deutsche Forschungsgemeinschaft URL: https://gepris.dfg.de/gepris/projekt/347509908 Did the sponsors or funders play any role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript? No 2. Fogarty National Institutes of Health (NIH) Common Fund Authors: EA Grant number: 1U2RTW010679 Full name: Fogarty National Institutes of Health (NIH) Common Fund URL: https://reporter.nih.gov/search/4JPGbrv7BEWp23Ineb9CoA/projects Did the sponsors or funders play any role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript? No.