Decoding plant-induced transcriptomic variability and consistency in two related polyphagous mites differing in host ranges.
Lei ChenLi-Xue GuoXin-Yue YuShi-Mei HuoAry Anthony HoffmannJia-Yi ZhouJing-Tao SunXiao-Yue HongPublished in: Molecular ecology (2024)
The diet breadth of generalist herbivores when compared to specialists tends to be associated with greater transcriptional plasticity. Here, we consider whether it may also contribute to variation in host range among two generalists with different levels of polyphagy. We examined two related polyphagous spider mites with different host ranges, Tetranychus urticae (1200 plants) and Tetranychus truncatus (90 plants). Data from multiple populations of both species domesticated on common beans and transferred to new plant hosts (cotton, cucumber, eggplant) were used to investigate transcriptional plasticity relative to population-based variation in gene expression. Compared to T. truncatus, T. urticae exhibited much higher transcriptional plasticity. Populations of this species also showed much more variable expression regulation in response to a plant host, particularly for genes related to detoxification, transport, and transcriptional factors. In response to the different plant hosts, both polyphagous species showed enriched processes of drug/xenobiotics metabolism, with T. urticae orchestrating a relatively broader array of biological pathways. Through co-expression network analysis, we identified gene modules associated with host plant response, revealing shared hub genes primarily involved in detoxification metabolism when both mites fed on the same plants. After silencing a shared hub CYP gene related to eggplant exposure, the performance of both species on the original bean host improved, but the fecundity of T. truncatus decreased when feeding on eggplant. The extensive transcriptomic variation shown by T. urticae might serve as a potential compensatory mechanism for a deficiency of hub genes in this species. This research points to nuanced differences in transcriptomic variability between generalist herbivores.
Keyphrases
- network analysis
- gene expression
- genome wide
- bioinformatics analysis
- genome wide identification
- genetic diversity
- transcription factor
- poor prognosis
- dna methylation
- single cell
- rna seq
- physical activity
- high resolution
- genome wide analysis
- cell wall
- binding protein
- emergency department
- risk assessment
- high throughput
- big data
- oxidative stress
- high glucose
- endothelial cells
- climate change