News ID: 202292
Published: 0633 GMT October 13, 2017

Scientists study whale's blow hole microbes with the help of a drone

Scientists study whale's blow hole microbes with the help of a drone
UPI

Scientists have for the first time surveyed the unique community of microorganisms — the microbiome — living inside the blowhole of a humpback whale. They did so with the help of a six-rotor hexacopter.

Researchers with the Woods Hole Oceanographic Institution (WHOI) used a custom-built drone to collect blow samples, the moist breath exhaled by whales, from 17 humpbacks off the coast of Cape Cod and from nine humpbacks swimming near Canada's Vancouver Island, UPI wrote.

The scientists sequenced the genetic material found in the blow samples to identify the microbes living in each whale's respiratory tract.

The National Oceanic and Atmospheric Administration (NOAA) researcher John Durban said, "We were using the drone to take aerial images of the whales, so that we could assess body conditions.

"Because of the stable flight performance of our hexacopter, we quickly learned that we could reliably fly through whale blow without disturbing the animals."

The biologists involved in the study — published in the journal mSystems — believe a better understanding of the humpback's microbiome will help them monitor whale health.

WHOI researcher Amy Apprill said, "The pulmonary system is a common site for bacterial infections in whales.

"We see evidence of respiratory illnesses frequently in stranded and deceased animals.

“Until now, little has been known about the normal respiratory microbiome of healthy whales."

Microbe samples sequenced from the blow samples revealed a common, or core, microbiome shared by all 26 whales — a microbiome distinct from the microbial communities found in seawater.

Apprill said, "From this study, we have a good idea of what a normal, healthy whale microbiome looks like.

“Now we need to understand what the microbiome of an unhealthy whale looks like.”

"This comparison is critical for health monitoring and disease detection."

   
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