Transcriptomic Changes Induced by Low and High Concentrations of Heavy Metal Exposure in Ulva pertusa .
Do Yeon SeoMira ParkJeong-In ParkJang K KimSeungshic YumYoun-Jung KimPublished in: Toxics (2023)
The impact of sewage and wastewater pollution on marine ecosystems is of increasing concern due to the rapid accumulation of heavy metals in seaweeds inhabiting near-shore environments. Seaweeds can be severely damaged by heavy metals throughout their life cycles. Although the physiological and ecological effects of heavy metal exposure have been studied, there is limited research on their molecular responses. Ulva pertusa is a prevalent seaweed species in South Korea and is ecologically significant in coastal ecosystems. We utilized high-throughput RNA sequencing to analyze changes in the transcriptome profiles of U. pertusa under low concentrations of heavy metals (MPS) and high concentrations of copper (MPS-Cu) and cadmium (MPS-Cd). Differential gene expression analysis revealed that 53 (control vs. MPS), 27 (MPS vs. MPS-Cd), and 725 (MPS vs. MPS-Cu) genes were expressed differentially. Differentially expressed genes identified in our study included those with protective roles against oxidative stress and those involved in metal transport to the vacuole. Furthermore, exposure to heavy metal stress had a negative impact on the photosynthetic apparatus structural proteins of U. pertusa , resulting in photosynthetic inhibition. Moreover, exposure to high concentrations of copper resulted in the activation of carbon-related metabolism. These findings contribute to our understanding of the molecular mechanisms underlying heavy metal toxicity in U. pertusa .
Keyphrases
- heavy metals
- risk assessment
- health risk assessment
- single cell
- health risk
- oxidative stress
- genome wide
- high throughput
- climate change
- sewage sludge
- genome wide identification
- rna seq
- human health
- dna damage
- dna methylation
- gene expression
- copy number
- stress induced
- air pollution
- ischemia reperfusion injury
- endoplasmic reticulum stress
- oxide nanoparticles
- particulate matter
- antibiotic resistance genes