Parasite Metabolism can Foretell Disease Ranges under Climate Change
News Feb 28, 2013
Princeton University researchers developed a model that can identify the prospects for nearly any disease-causing parasite as the Earth grows warmer, even if little is known about the organism. Their method calculates how the projected temperature change for an area would alter the creature's metabolism and life cycle, the researchers report in the journal Ecology Letters.
Lead author Péter Molnár, a Princeton postdoctoral researcher of ecology and evolutionary biology, explained that the technique is an all-inclusive complement to current methods of predicting how climate change will affect disease, which call for a detailed knowledge of the environmental factors a specific parasite needs to thrive. But for many parasites, that information doesn't exist.
The more general Princeton model is based on the metabolic theory of ecology. Under this premise, all biological organisms need a balance between body size and body temperature to maintain the metabolism that keeps their organs functioning. Like any cold-blooded creature, disease-causing parasites rely on external temperatures for this balance. Scientists with knowledge of a parasite's body size and life cycle could use the Princeton metabolic model to predict how the organism would fare in altered climates.
"Our framework is applicable to pretty much any parasite, and utilizes established metabolic patterns shown to hold across a wide variety of species," Molnár said.
"It would be impossible to ever gather enough data to develop a separate climate-change model for each existing and emerging disease in humans, wildlife and livestock," Molnár said. "With our physiological approach, many of the parameters for a specific pathogen can be predicted based on what is known about metabolic processes in all parasites, so that the model remains applicable to new and less-studied species as well."
The Princeton model estimates the "fundamental thermal niche" of a parasite, the area between the lowest and highest temperature in which a specific parasite prospers. The researchers show that an organism already kicking around the high end of that range could die out when things heat up, while a parasite lingering at the low end could lead to novel epidemics in host populations and extend to new areas.
Because global temperatures will still differ by elevation and distance from the equator, some parasites also might "migrate" from their previous territory — rendered inhospitable by higher temperatures — to one more inviting. That could expose human and animal populations to new diseases to which they may have little natural resistance. Thus, having an idea of which areas a parasite might transition to is important, Molnár said.
"As metabolism varies with temperature, parasite life-cycle components such as mortality, development, reproduction or infectivity may also vary with temperature," Molnár said. "If, for a specific parasite, we know the temperature dependence of its metabolism, or the temperature dependence of its life-cycle components, our model allows using these temperature effects to evaluate the impact of climate change on parasite fitness, and thus the regions in which the parasite may occur in the future."
Ryan Hechinger, a biologist at the University of California-Santa Barbara, said the framework adds to recent research tempering the fear that infectious diseases will uniformly flourish as global temperatures rise. Hechinger, who focuses his research on parasite ecology and evolution, is familiar with the work but had no role in it.
"There has been quite a bit of a 'the sky is falling' attitude from people claiming that infectious diseases are only going to get worse," Hechinger said. "We can't forget that most infectious diseases are caused by living agents. Like most living things, these agents may be negatively or positively affected by climate change. The modeling in this paper clarifies that infectious diseases may increase or decrease under climate change, specifically under global warming."
Mechanism Controlling Multiple Sclerosis Risk IdentifiedNews
Researchers at Karolinska Institutet have now discovered a new mechanism of a major risk gene for multiple sclerosis (MS) that triggers disease through so-called epigenetic regulation. They also found a protective genetic variant that reduces the risk for MS through the same mechanism.
Antarctic Worm and Machine Learning Help Identify Cerebral Palsy EarlierNews
A research team has released a study in the peer-reviewed journal BMC Bioinformatics showing that DNA methylation patterns in circulating blood cells can be used to help identify spastic cerebral palsy (CP) patients. The technique which makes use of machine learning, data science and even analysis of Antarctic worms, raises hopes for earlier targeted CP therapies.
Ancient Syphilis Genomes Decoded for First TimeNews
Researchers recovered three genomes of the bacterium Treponema pallidum from skeletal remains from colonial-era Mexico, and were able to distinguish the subspecies that causes syphilis from the subspecies that causes yaws. It was not previously thought possible to recover DNA from this bacterium from ancient samples.