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Time response relationship between gene expression and life history in a Daphnia population exposed to heavy metals

Jana Asselman (UGent) , Ilias Semmouri (UGent) and Karel De Schamphelaere (UGent)
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Abstract
Over the last decade, molecular technologies have evolved into robust high throughput platforms available to many scientists in a wide variety of disciplines. Implementation of these technologies in ecotoxicology and risk assessments have focused on mechanisms of toxicity and stress response on the gene level to explain effects at the organism level. However, current studies remain focused at the individual level and rarely include population level molecular responses. Population level molecular responses may provide a better insight into the potential mechanisms at play at the population level while at the same time avoid focusing on gene expression patterns that are the cause of clonal or interindividual variation. Furthermore, most studies select an arbitrary timepoint to measure gene expression responses without any prior knowledge. Here, we focus on population level responses of a Daphnia magna population to arsenic and copper and their binary mixture. The population was exposed to low chronic toxicity concentrations of arsenic and copper resulting primarily in effects on reproduction rather than survival. Rather than focusing on a single arbitrary timepoint, gene expression data and life history data were both recorded at multiple time points. As such, these datasets will provide a first basis on how exposure duration may affect the conclusions and decisions made about the toxicity of chemicals. In addition, by collecting both molecular data and life history data, we will be able to better understand the time response relationship in populations under stress both at the life history level and the molecular level. This will allow us to better integrate these two data types and identify potential causal relationships between the molecular level and the life history level. The identification of such causal relationships will play an integral part of incorporating omics data in environmental risk assessment.

Citation

Please use this url to cite or link to this publication:

MLA
Asselman, Jana, et al. “Time Response Relationship between Gene Expression and Life History in a Daphnia Population Exposed to Heavy Metals.” SETAC Europe, 28th Annual Meeting, Abstracts, 2018.
APA
Asselman, J., Semmouri, I., & De Schamphelaere, K. (2018). Time response relationship between gene expression and life history in a Daphnia population exposed to heavy metals. SETAC Europe, 28th Annual Meeting, Abstracts. Presented at the SETAC Europe 28th Annual meeting (SETAC Europe 2018), Rome, Italy.
Chicago author-date
Asselman, Jana, Ilias Semmouri, and Karel De Schamphelaere. 2018. “Time Response Relationship between Gene Expression and Life History in a Daphnia Population Exposed to Heavy Metals.” In SETAC Europe, 28th Annual Meeting, Abstracts.
Chicago author-date (all authors)
Asselman, Jana, Ilias Semmouri, and Karel De Schamphelaere. 2018. “Time Response Relationship between Gene Expression and Life History in a Daphnia Population Exposed to Heavy Metals.” In SETAC Europe, 28th Annual Meeting, Abstracts.
Vancouver
1.
Asselman J, Semmouri I, De Schamphelaere K. Time response relationship between gene expression and life history in a Daphnia population exposed to heavy metals. In: SETAC Europe, 28th Annual meeting, Abstracts. 2018.
IEEE
[1]
J. Asselman, I. Semmouri, and K. De Schamphelaere, “Time response relationship between gene expression and life history in a Daphnia population exposed to heavy metals,” in SETAC Europe, 28th Annual meeting, Abstracts, Rome, Italy, 2018.
@inproceedings{8578912,
  abstract     = {{Over the last decade, molecular technologies have evolved into robust high throughput platforms available to many scientists in a wide variety of disciplines. Implementation of these technologies in ecotoxicology and risk assessments have focused on mechanisms of toxicity and stress response on the gene level to explain effects at the organism level. However, current studies remain focused at the individual level and rarely include population level molecular responses. Population level molecular responses may provide a better insight into the potential mechanisms at play at the population level while at the same time avoid focusing on gene expression patterns that are the cause of clonal or interindividual variation. Furthermore, most studies select an arbitrary timepoint to measure gene expression responses without any prior knowledge. Here, we focus on population level responses of a Daphnia magna population to arsenic and copper and their binary mixture. The population was exposed to low chronic toxicity concentrations of arsenic and copper resulting primarily in effects on reproduction rather than survival. Rather than focusing on a single arbitrary timepoint, gene expression data and life history data were both recorded at multiple time points. As such, these datasets will provide a first basis on how exposure duration may affect the conclusions and decisions made about the toxicity of chemicals. In addition, by collecting both molecular data and life history data, we will be able to better understand the time response relationship in populations under stress both at the life history level and the molecular level. This will allow us to better integrate these two data types and identify potential causal relationships between the molecular level and the life history level. The identification of such causal relationships will play an integral part of incorporating omics data in environmental risk assessment.}},
  author       = {{Asselman, Jana and Semmouri, Ilias and De Schamphelaere, Karel}},
  booktitle    = {{SETAC Europe, 28th Annual meeting, Abstracts}},
  language     = {{eng}},
  location     = {{Rome, Italy}},
  title        = {{Time response relationship between gene expression and life history in a Daphnia population exposed to heavy metals}},
  year         = {{2018}},
}