The Genomic Enumeration of Antibiotic Resistance in Space (GEARS) experiment, managed by NASA's Ames Research Center in California's Silicon Valley, is designed to analyze microbial resistance in space. As part of the study, astronauts collect samples from interior surfaces aboard the ISS to detect antibiotic-resistant bacteria, particularly Enterococcus faecalis, a microorganism naturally found in the human body. This initiative marks the initial phase of broader research on microbial behavior in space and its implications for medicine on Earth.

"Enterococcus is an ancient organism that has coexisted with humans since our evolutionary origins," explained Christopher Carr, co-principal investigator of GEARS and assistant professor in the School of Earth and Atmospheric Sciences and the School of Aerospace Engineering. "It thrives inside and outside its host, contributing to its status as the second leading cause of hospital-acquired infections. Our goal is to understand how this microbe adapts to space conditions."

GEARS aims to refine methods for detecting and identifying resistant bacteria, expanding upon ongoing microbial monitoring efforts aboard the ISS.

Space Daily

Mustard gas, or sulfur mustard, is one of the most harmful chemical warfare agents, causing severe blistering of the skin and mucous membranes upon contact. To enhance battlefield detection of this hazardous substance, a team of chemists, including M.G. Finn, professor in the School of Chemistry and Biochemistry and the School of Biological Sciences, will develop a streamlined method for detecting vesicants—a broader class of chemical agents that includes sulfur mustard.

“We will initially focus on model compounds that act like mustards, but that can be handled safely in the laboratory. This will allow us to test different molecular sensor designs, with Professor Jennifer Heemstra's lab and ours working together on complementary approaches,” Finn explains.

AZO Sensors

School of Physics Professor Ignacio Taboada provided brief commentary on KM3NeT, a new underwater neutrino experiment that has detected what appears to be the highest-energy cosmic neutrino observed to date.

“This is clearly an interesting event. It is also very unusual,” said Taboada, spokesperson for the IceCube experiment in Antarctica. IceCube, which has a similar detector-array design as KM3NeT but is encased in ice rather than water, has detected neutrinos with energies as high as 10 PeV, but nothing in 100 PeV range. “IceCube has worked for 14 years, so it’s weird that we don’t see the same thing,” Taboada said. Taboada is not involved in the KM3Net experiment. 

The KM3NeT team is aware of this weirdness. They compared the KM3-230213A event to upper limits on the neutrino flux given by IceCube and the Pierre Auger cosmic-ray experiment in Argentina. Taking those limits as given, they found that there was a 1% chance of detecting a 220-PeV neutrino during KM3NeT’s preliminary (287-day) measurement campaign. 

This also appeared in Scientific American and Smithsonian Magazine.

Physics Magazine

Marvin Whiteley, professor in the School of Biological Sciences, has been named the new editor in chief of mBio, an open-access journal that explores the interconnected microbial world and publishes research in microbiology and allied fields. Whiteley’s term will begin on July 1, 2025. 

American Society for Microbiology

Brain imaging research may be grappling with a fresh challenge. Scanning the brain of a single person can reveal the areas they use to complete a task, although the exact pattern differs from person to person. But averaging the results across many people—as scientists often do—fails to capture some important nuances, a new functional MRI (fMRI) study suggests.

The brain tackles decision-making tasks in particular through several different categories of brain activity, rather than a single one, according to the study, published in Nature Communications in February by a team that includes School of Psychology researchers. Across three decision-making tasks, participants’ brains differentially activated and suppressed various regions and networks in ways that could be grouped into distinct categories, or subtypes, highlighting the variability of neural signatures during behavior.

The Transmitter