A prehistoric fish that until 1938 was thought to be extinct has caught the eye of geneticists at the Stanford University School of Medicine who hope to sequence the ancient genome to learn how animals evolved to live on land.
The 5-foot, 130-pound fish in question, called the coelacanth, ekes out an existence in cool, deep-water caves off the Comoro Islands in the Indian Ocean and northern Indonesia. Its lobed fins, skeleton structure and large, round scales are practically unchanged from its fossilized ancestors. This resemblance is what makes it an attractive target for sequencing, according to work published in this weeks online issue of Genome Research.
Genetics professor Richard Myers, PhD, co-authored the paper, which makes the case for sequencing the coelacanth genome. "Its just making an argument that if we want to understand this level of evolution, this is what we need to do," he said. The next step is convincing a funding agency, such as the National Institutes of Health or the Department of Energy, to add the coelacanth to a list of high priority organisms to sequence.
Amy Adams | EurekAlert!
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There are currently great hopes for solid-state batteries. They contain no liquid parts that could leak or catch fire. For this reason, they do not require cooling and are considered to be much safer, more reliable, and longer lasting than traditional lithium-ion batteries. Jülich scientists have now introduced a new concept that allows currents up to ten times greater during charging and discharging than previously described in the literature. The improvement was achieved by a “clever” choice of materials with a focus on consistently good compatibility. All components were made from phosphate compounds, which are well matched both chemically and mechanically.
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New design tool automatically creates nanostructure 3D-print templates for user-given colors
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Scientists at the University of California, Los Angeles present new research on a curious cosmic phenomenon known as "whistlers" -- very low frequency packets...
Scientists develop first tool to use machine learning methods to compute flow around interactively designable 3D objects. Tool will be presented at this year’s prestigious SIGGRAPH conference.
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Researchers from TU Graz and their industry partners have unveiled a world first: the prototype of a robot-controlled, high-speed combined charging system (CCS) for electric vehicles that enables series charging of cars in various parking positions.
Global demand for electric vehicles is forecast to rise sharply: by 2025, the number of new vehicle registrations is expected to reach 25 million per year....
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