Can't find your keys? You need a chickadee brain
By Pat Leonard
For the first time, researchers have shown that there is a genetic component underlying the amazing spatial memories of mountain chickadees.
These energetic half-ounce birds hide thousands of food items every fall and rely on these hidden stores to get through harsh winters in the mountains of the West. To find these caches, chickadees use highly specialized spatial memory abilities. Although the genetic basis for spatial memory has been shown for humans and other mammals, direct evidence of that connection has never before been identified in birds.
Their research, “The Genetic Basis of Spatial Cognitive Variation in a Food-Caching Bird,” published Nov. 3 in the journal Current Biology. The research is a collaboration among scientists from the Cornell Lab of Ornithology; the University of Colorado, Boulder; the University of Nevada, Reno; and the University of Oklahoma.
“We all use spatial memory to navigate our environment,” said lead author Carrie Branch, a postdoctoral researcher at the Cornell Lab of Ornithology. “Without memory there’s no learning and an organism would have to start from scratch for every task. So, it really is life and death for these birds to be able to remember where they stashed their food. We’ve been able to show that natural selection is shaping their ability to remember locations.”
If natural selection (survival of the fittest) is shaping chickadee memory, certain criteria have to be met. There has to be variation in the trait: Some chickadees are indeed better than others at re-finding their stores. There has to be a fitness advantage: Birds that perform better on a spatial memory task are more likely to survive and produce offspring. Importantly, variation in the trait must have a genetic basis.
“Environment does still matter a lot in terms of shaping behavior, but our work here suggests that genes may create the brain structures, and then experience and learning can build on top of that,” Branch said.
To measure chickadee memory, senior author Vladimir Pravosudov and his team at the University of Nevada, Reno, set up arrays of “smart” feeders for a population of wild mountain chickadees in California’s Sierra Nevada mountains.
Each feeder was equipped with radio frequency identification sensors. The 42 birds tested were fitted with leg tags the size of a grain of rice which gave off an identifying signal. Each bird was assigned to one of the eight feeders in each array. The feeder sensor reads the bird’s ID tag and, when it was the matching feeder for that individual, a mechanism opened the door, and the bird got a seed.
The scientists then tracked how many tries it took before the birds consistently went to the correct feeder. The differences between the best and the worst performers on this test were somewhat small, but previous work in this system showed that such differences did indeed impact survival.
To understand the connection between spatial memory and genetic architecture, co-authors Georgy Semenov and Scott Taylor at the University of Colorado, Boulder, sequenced mountain chickadee genomes.
“We used two methods to link genetic variation with spatial memory in chickadees,” Semenov said. “In the traditional genome-wide approach, we compared genetic data across individuals, from those that performed well on the spatial learning and memory task to those that performed poorly. We did the same comparison with a new machine learning algorithm.
“Both methods showed hundreds of differences associated with spatial memory,” he said. “Many of the variations in the genomes turned up in areas known to be associated with learning, memory, and neuron development in the brain.”
The authors say many questions remain about the influence of spatial memory itself, including what role it may play in the female’s choice of a mate.
This research was supported by grants to Vladimir Pravosudov and Scott Taylor from the National Science Foundation and by a Rose Postdoctoral Fellowship from the Cornell Lab of Ornithology.
Pat Leonard is a staff writer for the Cornell Lab of Ornithology.