An affordable and automated imaging approach to acquire highly resolved individual data—an example of copepod growth in response to multiple stressors
| Autor: | Torben Lode, Katrine Borgå, Josefin Titelman, Jan Heuschele, Tom Andersen |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Computer science
lcsh:Medicine Marine Biology 010501 environmental sciences Development Toxicology Ecotoxicology Machine learning computer.software_genre 01 natural sciences General Biochemistry Genetics and Molecular Biology Automatization Genetic heterogeneity 03 medical and health sciences Imaging system Experimental testing Individual data Multiple stressors 030304 developmental biology 0105 earth and related environmental sciences 0303 health sciences biology business.industry General Neuroscience Stressor lcsh:R General Medicine biology.organism_classification Temporal resolution Trait High temporal resolution Kairomone Artificial intelligence General Agricultural and Biological Sciences business computer Copepod Copper |
| Zdroj: | PeerJ, Vol 7, p e6776 (2019) PeerJ |
| ISSN: | 2167-8359 |
| Popis: | Individual trait variation is essential for populations to cope with multiple stressors and continuously changing environments. The immense number of possible stressor combinations and the influence of phenotypic variation makes experimental testing for effects on organisms challenging. The acquisition of such data requires many replicates and is notoriously laborious. It is further complicated when responses occur over short time periods. To overcome such challenges, we developed an automated imaging platform to acquire temporally highly resolved individual data. We tested this platform by exposing copepods to a combination of a biotic stressor (predator cues) and a toxicant (copper) and measured the growth response of individual copepods. We tested the automatically acquired data against published manually acquired data with much lower temporal resolution. We find the same general potentiating effects of predator cues on the adverse effects of copper, and the influence of an individual’s clutch identity on its ability to resist stress, between the data obtained from low and high temporal resolution. However, when using the high temporal resolution, we also uncovered effects of clutch ID on the timing and duration of stage transitions, which highlights the importance of considering phenotypic variation in ecotoxicological testing. Phenotypic variation is usually not acknowledged in ecotoxicological testing. Our approach is scalable, affordable, and adjustable to accommodate both aquatic and terrestrial organisms, and a wide range of visually detectable endpoints. We discuss future extensions that would further widen its applicability. |
| Databáze: | OpenAIRE |
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