Literature DB >> 26771350

Defining the role of omics in assessing ecosystem health: Perspectives from the Canadian environmental monitoring program.

Paulina A Bahamonde1, April Feswick1, Meghan A Isaacs1, Kelly R Munkittrick1, Christopher J Martyniuk1.   

Abstract

Scientific reviews and studies continue to describe omics technologies as the next generation of tools for environmental monitoring, while cautioning that there are limitations and obstacles to overcome. However, omics has not yet transitioned into national environmental monitoring programs designed to assess ecosystem health. Using the example of the Canadian Environmental Effects Monitoring (EEM) program, the authors describe the steps that would be required for omics technologies to be included in such an established program. These steps include baseline collection of omics endpoints across different species and sites to generate a range of what is biologically normal within a particular ecosystem. Natural individual variability in the omes is not adequately characterized and is often not measured in the field, but is a key component to an environmental monitoring program, to determine the critical effect size or action threshold for management. Omics endpoints must develop a level of standardization, consistency, and rigor that will allow interpretation of the relevance of changes across broader scales. To date, population-level consequences of routinely measured endpoints such as reduced gonad size or intersex in fish is not entirely clear, and the significance of genome-wide molecular, proteome, or metabolic changes on organism or population health is further removed from the levels of ecological change traditionally managed. The present review is not intended to dismiss the idea that omics will play a future role in large-scale environmental monitoring studies, but rather outlines the necessary actions for its inclusion in regulatory monitoring programs focused on assessing ecosystem health.
© 2015 SETAC.

Keywords:  Aquatic toxicology; Ecological risk assessment; Ecotoxicology; Environmental monitoring; Omics; Transcriptomics

Mesh:

Substances:

Year:  2015        PMID: 26771350     DOI: 10.1002/etc.3218

Source DB:  PubMed          Journal:  Environ Toxicol Chem        ISSN: 0730-7268            Impact factor:   3.742


  13 in total

1.  How consistent are we? Interlaboratory comparison study in fathead minnows using the model estrogen 17α-ethinylestradiol to develop recommendations for environmental transcriptomics.

Authors:  April Feswick; Meghan Isaacs; Adam Biales; Robert W Flick; David C Bencic; Rong-Lin Wang; Chris Vulpe; Marianna Brown-Augustine; Alex Loguinov; Francesco Falciani; Philipp Antczak; John Herbert; Lorraine Brown; Nancy D Denslow; Kevin J Kroll; Candice Lavelle; Viet Dang; Lynn Escalon; Natàlia Garcia-Reyero; Christopher J Martyniuk; Kelly R Munkittrick
Journal:  Environ Toxicol Chem       Date:  2017-04-19       Impact factor: 3.742

Review 2.  Sex and gender analysis improves science and engineering.

Authors:  Cara Tannenbaum; Robert P Ellis; Friederike Eyssel; James Zou; Londa Schiebinger
Journal:  Nature       Date:  2019-11-06       Impact factor: 49.962

3.  Map and model-moving from observation to prediction in toxicogenomics.

Authors:  Andreas Schüttler; Rolf Altenburger; Madeleine Ammar; Marcella Bader-Blukott; Gianina Jakobs; Johanna Knapp; Janet Krüger; Kristin Reiche; Gi-Mick Wu; Wibke Busch
Journal:  Gigascience       Date:  2019-06-01       Impact factor: 6.524

4.  Transcriptional and biochemical biomarker responses in a freshwater mussel (Anodonta anatina) under environmentally relevant Cu exposure.

Authors:  Gustaf Magnus Oskar Ekelund Ugge; Annie Jonsson; Björn Olsson; Robert Sjöback; Olof Berglund
Journal:  Environ Sci Pollut Res Int       Date:  2020-01-13       Impact factor: 4.223

Review 5.  Immunological Responses of Marine Bivalves to Contaminant Exposure: Contribution of the -Omics Approach.

Authors:  Teresa Balbi; Manon Auguste; Caterina Ciacci; Laura Canesi
Journal:  Front Immunol       Date:  2021-02-18       Impact factor: 7.561

6.  Transcriptome-Wide Prediction and Measurement of Combined Effects Induced by Chemical Mixture Exposure in Zebrafish Embryos.

Authors:  A Schüttler; G Jakobs; J M Fix; M Krauss; J Krüger; D Leuthold; R Altenburger; W Busch
Journal:  Environ Health Perspect       Date:  2021-04-07       Impact factor: 9.031

7.  Evolutionary toxicology in an omics world.

Authors:  Elias M Oziolor; John W Bickham; Cole W Matson
Journal:  Evol Appl       Date:  2017-02-20       Impact factor: 5.183

8.  Drivers of and Obstacles to the Adoption of Toxicogenomics for Chemical Risk Assessment: Insights from Social Science Perspectives.

Authors:  Guillaume Pain; Gordon Hickey; Matthieu Mondou; Doug Crump; Markus Hecker; Niladri Basu; Steven Maguire
Journal:  Environ Health Perspect       Date:  2020-10-28       Impact factor: 9.031

9.  Modeling the metabolic profile of Mytilus edulis reveals molecular signatures linked to gonadal development, sex and environmental site.

Authors:  Jaanika Kronberg; Jonathan J Byrne; Jeroen Jansen; Philipp Antczak; Adam Hines; John Bignell; Ioanna Katsiadaki; Mark R Viant; Francesco Falciani
Journal:  Sci Rep       Date:  2021-06-18       Impact factor: 4.379

10.  Molecular biomarker responses in the freshwater mussel Anodonta anatina exposed to an industrial wastewater effluent.

Authors:  Gustaf Mo Ekelund Ugge; Annie Jonsson; Olof Berglund
Journal:  Environ Sci Pollut Res Int       Date:  2021-08-07       Impact factor: 4.223

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