Abstract

Infectious diseases threaten marine populations, and the extent of their impacts is often assessed by prevalence of infection (the proportion of infected individuals). Changes in prevalence are often attributed to altered rates of transmission, although the rates of birth, recovery, and mortality also determine prevalence. The parasitic dinoflagellate Hematodinium perezi causes a severe, often fatal disease in blue crabs. It has been speculated that decreases in prevalence associated with high temperatures result from lower rates of infection. We used field collections, environmental sensor data, and high-temperature exposure experiments to investigate the factors that change prevalence of infections in blue crab megalopae (post-larvae). These megalopae migrate from offshore waters, where temperatures are moderate, to marshes where temperatures may be extremely high. Within a few days of arriving in the marsh, the megalopae metamorphose into juvenile crabs. We found a strong negative association between prevalence of Hematodinium infection in megalopae and the cumulative time water temperatures in the marsh exceeded 34°C over the preceding two days. Temperatures this high are known to be lethal for blue crabs, suggesting that higher mortality of infected megalopae could be the cause of reduced prevalence. Experimental exposure of megalopae from the marsh to a temperature of 34°C resulted in higher mortality for infected than uninfected individuals, and decreased the prevalence of infection among survivors from 18% to 3%.

Highlights

  • Outbreaks of infectious diseases in marine animals are of growing concern

  • We considered two hypotheses for the negative effect of high temperatures on prevalence of H. perezi infection in blue crab megalopae

  • The first hypothesis, the “heat-cure hypothesis”, is that stressfully high temperatures result in rapid elimination of H. perezi from the host

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Summary

Introduction

Outbreaks of infectious diseases in marine animals are of growing concern. Nonnative pathogens, and climate change are generally expected to increase the frequency and severity of marine disease outbreaks and their effects on ecosystems, fisheries, and threatened species [1,2,3,4], some research has suggested these effects will be taxon-specific [5, 6]. Models that accurately predict outbreaks are needed to develop strategies for limiting their impacts [7,8,9]. Well-developed epidemiological models for human and wildlife. Collection and analysis, decision to publish, or preparation of the manuscript

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