The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

How bees find their way home

Photo: Ajay Narendra
Photo: Ajay Narendra

How can a bee fly straight home in the middle of the night after a complicated route through thick vegetation in search of food? For the first time, researchers have been able to show what happens in the brain of the bee.

The bee brain

Bees and many other animals use what is known as optical flow to determine how fast they are going and how far they have moved through their environment. When ignoring all other senses, this means that they experience their surroundings as moving towards them while they themselves appear to be standing still.

Until now, scientists have not known what actually happens in the brain of a bee when it finds its way back to the hive after flying around looking for food.

The study, involving nocturnal rain forest bees, identifies which neurons in the brain allow the bee to measure speed and distance covered. It also identifies the neurons that  use polarised light to determine the bee’s compass direction.

“We show how ‘speed neurons’ and ‘direction neurons’ work separately, but also how they likely cooperate to generate a memory that the bee uses to fly straight home after its nightly tours of the rain forest”, explains Stanley Heinze, biologist at Lund University in Sweden.

A robot implementation

What bees and many other animals, including humans, can do is to integrate and collate all segments of their foraging trip to find the direct path home. This can be done without using landmarks and other details in the terrain, unlike what we intuitively refer to when thinking of our sense of direction.

In a laboratory environment, the researchers placed electrodes into individual nerve cells in the bees’ brains as they undertook virtual flights, simulating their experience of searching for food in the rain forest. The results, complemented by microscopic studies of the recorded nerve cells, were used in a computational model of the bee’s brain.

“We then built a robot and tested our model in reality. We sent it out on a random route and the model of the bee’s navigation system that we implemented in the robot allowed it to find the direct path back to its starting point”, says Stanley Heinze.

He is fascinated by the fact that these insects, whose brains are about the size of a grain of rice and have 100 000 times fewer neurons than human brains, register their convoluted routes, often several kilometres long, and then have no trouble flying the most direct way home again, a task that we humans can only master with the help of GPS devices, despite our huge brains.

That bees have this ability might even prove to be of existential significance for humanity, according to Stanley Heinze.

“After all, we know that pesticides are detrimental to the bees’ sense of direction, which means that fewer of them will be able to return to their hive after pollinating plants in our modern agricultural landscapes. Meanwhile, the majority of food production in the world is dependent on bees pollinating crop plants. Understanding the details of the bee’s internal navigation system may therefore prove crucial when trying to design strategies to avoid disrupting them”, says Stanley Heinze.

A virtual bee

The findings are the result of several years of research in which Stanley Heinze collaborated with colleagues in Lund, the United Kingdom and Australia. The results are presented in an article published in Current Biology.

Publication: An Anatomically Constrained Model for Path Integration in the Bee Brain

Contact:
Stanley Heinze, researcher
Lund University, Department of Biology
+46 46-222 14 17
+46 72-323 24 11
stanley [dot] heinze [at] biol [dot] lu [dot] se (stanley[dot]heinze[at]biol[dot]lu[dot]se)

Categories