Omics Approaches in Ecotoxicology and Stress Ecology
A special issue of Genes (ISSN 2073-4425). This special issue belongs to the section "Toxicogenomics".
Deadline for manuscript submissions: closed (1 September 2021) | Viewed by 8163
Special Issue Editor
Interests: protein networks; proteomics; mode of action; adverse outcome pathways; endocrine disruptors; molecular physiology; phylogenomics; crustaceans
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Next-generation sequencing and mass spectrometry technologies have recently expanded the availability of molecular data at a systemic level (-omics data, e.g., transcriptomes, proteomes, metabolomes) beyond classical model organisms in molecular biology. These advancements are allowing the exploration of the molecular basis of new and old questions in stress ecology and ecotoxicology, such as species adaptation or vulnerability to environmental changes; temporal and spatial variability of sensitivity to specific contaminants in natural communities; mode of action of single contaminants or their mixtures in multiple species; the development of molecular biomarkers of exposure or effect in real environmental conditions; and multi- and trans- generational effects of contaminant exposures.
In this Special Issue, we encourage research articles or methodological reviews that explore the use of different -omics approaches to describe: i) the molecular and mechanistic bases of biological responses (e.g., physiology, contaminants’ modes of action) of environmentally relevant animal species exposed to natural or anthropogenic stressors, such as chemical contamination or those associated with global changes; and ii) case studies to identify biomarkers in the context of biomonitoring activities of environmental risk assessment. In particular, we welcome contributions based both on laboratory and in situ studies at different spatial and time scales.
Dr. Davide Degli Esposti
Guest Editor
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Keywords
- Genomics
- Proteomics
- Transcriptomics
- Metabolomics
- Lipidomics
- Mode of actions
- Adaptation
- Chemical pollution
- Biomarkers
- Climate change
- Environmental risk assessment
- Biomonitoring
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