Ontology highlight
ABSTRACT:
PROVIDER: PRJNA740197 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR14887819_1.fastq.gz | Fastqsanger.gz | |||
| SRR14887819_2.fastq.gz | Fastqsanger.gz |
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Project description:ncreasing effects of anthropogenic stressors and those of natural origin on aquatic ecosystems have intensified the need for predictive and functional models of their effects. Here, we use gene expression patterns in combination with weighted gene co-expression networks and generalized additive models to predict effects on reproduction in the aquatic microcrustacean Daphnia. We developed models to predict effects on reproduction upon exposure to different cyanobacteria, different insecticides and binary mixtures of cyanobacteria and insecticides. Models developed specifically for groups of stressors (e.g. either cyanobacteria or insecticides) performed better than general models developed on all data. Furthermore, models developed using in silico generated mixture gene expression profiles from single stressor data were able to better predict effects on reproduction compared to models derived from the mixture exposures themselves. Our results highlight the potential of gene expression data to quantify effects of complex exposures at higher level organismal effects without prior mechanistic knowledge or complex exposure data.
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Project description:Vector-borne diseases are closely linked to the environment by the ecology of the vectors and their hosts. Elucidating these causal relationships is one of the most pressing challenges faced by researchers and public health scientists as increasing anthropogenic alternations in the environment can drive shifts in vector-borne disease dynamics. However, as one of the major environmental stressors, the impact of sublethal exposure of insecticides on vector behavior remains poorly investigated. Here, we analyzed how sublethal exposure of the promising vector-control bioinsecticide spinetoram on Aedes aegypti larvae, the latest generation of the spinosyns that have been suggested as a promising new bioinsecticide for vector control, at the larval stage of Ae. aegypti alters adult performance and susceptibility to dengue virus (DENV) infection. While spinetoram sublethal exposure leads to extended immature development time, these survivors were significantly smaller and exhibited weaker blood-feeding capacity than normal females. More importantly, surviving females presented higher DENV susceptibility than the control group after spinetoram sublethal exposure on larvae. Mechanistically, the transcriptomic analysis showed that inhibition of oxidative phosphorylation (OXPHOS) may function in stimulating DENV production in adult Ae. aegypti. In vitro study revealed that spinetoram induces apoptosis via mitochondrial reactive oxygen species (mtROS)-regulated OXPHOS dysregulation in Aag2 cells, and thereby may stimulate DENV production through the metabolic switch between OXPHOS and glycolysis. Altogether, our data demonstrate that sublethal spinetoram exposure could act as a crucial factor on life traits and vector competence in Ae. aegypti. Given that other insecticides are known to induce mitochondrial dysfunction in mosquito vectors, this research may have wider implications.
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