Drosophila melanogaster Transcriptome Response to Different Wolbachia Strains.
Nataly E GruntenkoМaksim А DeryuzhenkoOlga V AndreenkovaOlga D ShishkinaMargarita A BobrovskikhNatalja V ShatskayaGennady V VasilievPublished in: International journal of molecular sciences (2023)
Wolbachia is a maternally inherited, intercellular bacterial symbiont of insects and some other invertebrates. Here, we investigated the effect of two different Wolbachia strains, differing in a large chromosomal inversion, on the differential expression of genes in D. melanogaster females. We revealed significant changes in the transcriptome of the infected flies compared to the uninfected ones, as well as in the transcriptome of flies infected with the Wolbachia strain, wMelPlus, compared to flies infected with the wMelCS 112 strain. We linked differentially expressed genes (DEGs) from two pairwise comparisons, "uninfected-wMelPlus-infected" and "uninfected-wMelCS 112 -infected", into two gene networks, in which the following functional groups were designated: "Proteolysis", "Carbohydrate transport and metabolism", "Oxidation-reduction process", "Embryogenesis", "Transmembrane transport", "Response to stress" and "Alkaline phosphatases". Our data emphasized similarities and differences between infections by different strains under study: a wMelPlus infection results in more than double the number of upregulated DEGs and half the number of downregulated DEGs compared to a wMelCS 112 infection. Thus, we demonstrated that Wolbachia made a significant contribution to differential expression of host genes and that the bacterial genotype plays a vital role in establishing the character of this contribution.
Keyphrases
- genome wide
- drosophila melanogaster
- aedes aegypti
- genome wide identification
- dengue virus
- hiv infected
- single cell
- escherichia coli
- dna methylation
- rna seq
- zika virus
- gene expression
- copy number
- bioinformatics analysis
- transcription factor
- nitric oxide
- computed tomography
- electronic health record
- genome wide analysis
- mass spectrometry
- magnetic resonance
- machine learning
- single molecule
- high resolution
- anaerobic digestion
- high speed