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

التفاصيل البيبلوغرافية
العنوان: Combination of computational techniques and RNAi reveal targets in Anopheles gambiae for malaria vector control.
المؤلفون: Eunice O Adedeji, Thomas Beder, Claudia Damiani, Alessia Cappelli, Anastasia Accoti, Sofia Tapanelli, Olubanke O Ogunlana, Segun Fatumo, Guido Favia, Rainer Koenig, Ezekiel Adebiyi
المصدر: PLoS ONE, Vol 19, Iss 7, p e0305207 (2024)
بيانات النشر: Public Library of Science (PLoS), 2024.
سنة النشر: 2024
المجموعة: LCC:Medicine
LCC:Science
مصطلحات موضوعية: Medicine, Science
الوصف: 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
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1932-6203
18696414
Relation: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0305207&type=printable; https://doaj.org/toc/1932-6203
DOI: 10.1371/journal.pone.0305207&type=printable
DOI: 10.1371/journal.pone.0305207
URL الوصول: https://doaj.org/article/dc19d1869641424faacd2db7e04c0150
رقم الأكسشن: edsdoj.19d1869641424faacd2db7e04c0150
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:19326203
18696414
DOI:10.1371/journal.pone.0305207&type=printable