PUBLICATION
qRT-PCR evaluation of the transcriptional response of zebra mussel to heavy metals
- Authors
- Jaumot, J., Navarro, A., Faria, M., Barata, C., Tauler, R., Piña, B.
- ID
- ZDB-PUB-150507-5
- Date
- 2015
- Source
- BMC Genomics 16: 354 (Journal)
- Registered Authors
- Piña, Benjamin
- Keywords
- none
- MeSH Terms
-
- Analysis of Variance
- Animals
- Computational Biology*
- Computer Graphics
- Discriminant Analysis
- Dreissena/drug effects*
- Dreissena/genetics*
- Dreissena/metabolism
- Gene Regulatory Networks/drug effects
- Humans
- Least-Squares Analysis
- Metals, Heavy/toxicity*
- Mice
- Oxidative Stress/drug effects
- Oxidative Stress/genetics
- Principal Component Analysis
- Real-Time Polymerase Chain Reaction
- Transcription, Genetic/drug effects*
- Water Pollutants, Chemical/toxicity*
- PubMed
- 25943386 Full text @ BMC Genomics
Citation
Jaumot, J., Navarro, A., Faria, M., Barata, C., Tauler, R., Piña, B. (2015) qRT-PCR evaluation of the transcriptional response of zebra mussel to heavy metals. BMC Genomics. 16:354.
Abstract
Background The transcriptional response of adult zebra mussels (Dreissena polymorpha) to heavy metals (mercury, copper, and cadmium) was analyzed by quantitative Real-Time Polymerase Chain Reaction (qRT-PCR) to study the coordinated regulation of different metal-, oxidative stress- and xenobiotic defence-related genes in gills and digestive gland. Regulatory network analyses allowed the comparison of this response between different species and taxa.
Results Chemometric analyses allowed identifying the effects of these metals clearly separating control and treated samples of both tissues. Interactions between the different genes, either in the same or between both tissues, were analysed to identify correlations and to propose stress-related genes' regulatory networks. These networks were finally compared with existing data from human, mouse, zebrafish, Drosophila and the roundworm to evaluate their mechanistically-known response to metals (and to stressors in general) with the correlations observed in the still poorly-known, invasive zebra mussel.
Conclusions Our analyses found a general conservation of regulation genes and of their interactions among the different considered species, and may serve as a guide to extrapolate regulatory data from model species to lesser-known environmentally (or medically) relevant species.
Genes / Markers
Expression
Phenotype
Mutations / Transgenics
Human Disease / Model
Sequence Targeting Reagents
Fish
Orthology
Engineered Foreign Genes
Mapping