Omics-based ecosurveillance for the assessment of ecosystem function, health, and resilience
- PMID: 35403668
- PMCID: PMC9023019
- DOI: 10.1042/ETLS20210261
Omics-based ecosurveillance for the assessment of ecosystem function, health, and resilience
Abstract
Current environmental monitoring efforts often focus on known, regulated contaminants ignoring the potential effects of unmeasured compounds and/or environmental factors. These specific, targeted approaches lack broader environmental information and understanding, hindering effective environmental management and policy. Switching to comprehensive, untargeted monitoring of contaminants, organism health, and environmental factors, such as nutrients, temperature, and pH, would provide more effective monitoring with a likely concomitant increase in environmental health. However, even this method would not capture subtle biochemical changes in organisms induced by chronic toxicant exposure. Ecosurveillance is the systematic collection, analysis, and interpretation of ecosystem health-related data that can address this knowledge gap and provide much-needed additional lines of evidence to environmental monitoring programs. Its use would therefore be of great benefit to environmental management and assessment. Unfortunately, the science of 'ecosurveillance', especially omics-based ecosurveillance is not well known. Here, we give an overview of this emerging area and show how it has been beneficially applied in a range of systems. We anticipate this review to be a starting point for further efforts to improve environmental monitoring via the integration of comprehensive chemical assessments and molecular biology-based approaches. Bringing multiple levels of omics technology-based assessment together into a systems-wide ecosurveillance approach will bring a greater understanding of the environment, particularly the microbial communities upon which we ultimately rely to remediate perturbed ecosystems.
Keywords: environmental monitoring; genomics; metabolomics; proteomics; systems biology; transcriptomics.
© 2022 The Author(s).
Conflict of interest statement
The authors declare that there are no competing interests associated with the manuscript.
Figures
References
-
- ANZECC and ARMCANZ. (2018) Australian and New Zealand Guidelines for Fresh and Marine Water Qualit. [cited 2021; Available from: https://www.waterquality.gov.au/anz-guidelines
-
- Beale, D.J., Hillyer, K., Nilsson, S., Limpus, D., Bose, U., Broadbent, J.A.et al. (2022) Bioaccumulation and metabolic response of PFAS mixtures in wild-caught freshwater turtles (Emydura macquariimacquarii) using omics-based ecosurveillance techniques. Sci. Total Environ. 806, 151264 10.1016/j.scitotenv.2021.151264 - DOI - PubMed
-
- Beale, D.J., Nilsson, S., Bose, U., Bourne, N., Stockwell, S., Broadbent, J.A.et al. (2022) Bioaccumulation and impact of maternal PFAS offloading on egg biochemistry from wild-caught freshwater turtles (Emydura macquarii macquarii). Sci. Total Environ. 817, 153019 10.1016/j.scitotenv.2022.153019 - DOI - PubMed
-
- Adesina, A.O., Anifowose, A.J., Takeda, K. and Sakugawa, H. (2018) Photogeneration and interactive reactions of three reactive species in the Seto Inland Sea, Japan. Environ. Chem. 15, 236–245 10.1071/EN18035 - DOI
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Miscellaneous