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Interactions Between Temperature Variability and Reproductive Physiology Across Traits in an Intertidal Crab
Emily K Lam1,2,3, Metadel Abegaz1,3, Alex R Gunderson1,2,4
1Estuary and Ocean Science Center, San Francisco State University, Tiburon, CA, United States.
Gravid porcelain crabs (Petrolisthes cinctipes) avoid heat at lower temperatures than non-gravid crabs. This reproductive difference influences their thermal thresholds and movement, impacting population responses to climate change.
Area of Science:
- Marine Biology
- Ecology
- Physiology
Background:
- Thermal extremes impact population dynamics through temperature-induced movement.
- Thermal thresholds for animal movement are influenced by physiology and life-history stage.
- Intertidal organisms like the porcelain crab face near-lethal temperatures.
Purpose of the Study:
- To investigate if behavioral thermal limits vary with reproductive state in Petrolisthes cinctipes.
- To understand the influence of reproductive status on thermal thresholds and movement in intertidal crabs.
- To explore the physiological mechanisms underlying temperature-dependent movement in relation to reproduction.
Main Methods:
- Integrated demographic, molecular, behavioral, and physiological measurements.
- Analyzed in situ gene expression (31 genes) and vitellogenin (VG) protein levels.
- Measured voluntary thermal maximum (VTmax) and correlated it with nerve fiber firing rates.
Main Results:
- Gravid females exhibited heat avoidance at lower temperatures (lower VTmax) than non-gravid females.
- Gene expression, including vitellogenin (vg), varied with intertidal elevation and reproductive status.
- VTmax correlated with nerve fiber physiology, suggesting a mechanistic link to movement.
Conclusions:
- Reproductive status significantly influences thermal thresholds and heat avoidance behavior in Petrolisthes cinctipes.
- Interactions between fine-scale temperature variation and reproductive biology are critical for intertidal species' survival.
- Understanding these factors is crucial for predicting population responses to climate change.
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