Antarctic microbes reveal climate impact on marine ecosystems
Bacteria and other single-celled microorganisms in the seas around Antarctica are strongly influenced by water temperature and the amount of sea ice. This is shown by coordinated measurements taken off the coast of the west Antarctic Peninsula.
Microplastics could be fueling antibiotic resistance
Microplastics—tiny shards of plastic debris—are all over the planet. They have made their way up food chains, accumulated in oceans, clustered in clouds and on mountains, and been found inside human bodies at alarming rates. Scientists have been racing to uncover the unforeseen impacts of so much plastic in and around us.
Landscape transcriptomics may give insight into what stresses wild bees
A new method of examining gene expression patterns called landscape transcriptomics may help pinpoint what causes bumble bees stress and could eventually give insight into why bee populations are declining overall, according to a study led by researchers at Penn State. The team published their findings in the journal Molecular Ecology.
Simultaneous aerobic and anaerobic respiration in a Yellowstone thermophile challenges scientific norms
Montana State University has long been a hub for research on the many unique features of nearby Yellowstone National Park, and now a doctoral student in one of the university's microbiology laboratories has published a paper on how some hot-spring-dwelling organisms thrive in their extreme environments.
Key genes for corn architecture revealed, identifying future breeding targets
The physical structure of corn plants—including the angle of leaves bending from the stem and the number of pollen-laden tassel branches—makes a big difference for yield. Compact plants can be planted closer together, adding up to more ears per acre. But compact corn didn't happen by accident; years of hybrid breeding did that. Now, two new genome-based studies are making it possible to precisely adjust corn architecture to meet future demands.
Introducing Evo 2, a predictive and generative genomic AI for all domains of life
Researchers at the Arc Institute, Stanford University, and NVIDIA have developed Evo 2, an advanced AI model capable of predicting genetic variations and generating genomic sequences across all domains of life.
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