2011Journal of Plankton ResearchRequires access

Does female RNA content reflect viable egg production in copepods? A test with the Baltic copepod Acartia tonsa

Hedvig Hogfors, T. Holmborn, Susanna Hajdu, Elena Gorokhova

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Abstract

Biomarkers are very useful for in situ assessments of zooplankton growth. In particular, RNA-based methods have been developed to estimate egg production in copepods. However, RNA–growth relationships can potentially depend on a variety of factors, such as egg quality. This study shows that in Acartia tonsa, female RNA-content reflects egg production irrespective of egg viability, implying that this growth proxy is not applicable for recruitment studies if the proportion of viable eggs fluctuates widely.

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What this paper is about

Biomarkers are very useful for in situ assessments of zooplankton growth. In particular, RNA-based methods have been developed to estimate egg production in copepods. However, RNA–growth relationships can potentially depend on a variety of factors, such as egg quality. This study shows that in Acartia tonsa, female RNA-content reflects egg production irrespective of egg viability, implying that this growth proxy is not applicable for recruitment studies if the proportion of viable eggs fluctuates widely.

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Available abstract

Biomarkers are very useful for in situ assessments of zooplankton growth. In particular, RNA-based methods have been developed to estimate egg production in copepods. However, RNA–growth relationships can potentially depend on a variety of factors, such as egg quality. This study shows that in Acartia tonsa, female RNA-content reflects egg production irrespective of egg viability, implying that this growth proxy is not applicable for recruitment studies if the proportion of viable eggs fluctuates widely.

Key concepts: Acartia tonsa, Copepod, Acartia, Biology, Zooplankton, Ecology, Zoology, Crustacean

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Does female RNA content reflect viable egg production in copepods? A test with the Baltic copepod Acartia tonsa — Research Paper | ScholarLens