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Somerville and John Gibbons, a genomicist at the University of Massachusetts, Amherst, independently focused on food fermentation, which helped early farmers and herders transform fresh produce and milk into products that can last months or years. Gibbons took a close look at the genome of Aspergillus oryzae, the fungus that jump-starts production of sake from rice and soy sauce and miso from soybeans.

When farmers cultivate A. oryzae, the fungus—a eukaryote, with its DNA enclosed in a nucleus—reproduces on its own. But when humans take a little finished sake and transfer it to a rice mash to begin fermentation anew, they also transfer cells of the fungal strains that evolved and survived best during the first round of fermentation.

Gibbons compared the genomes of scores of A. oryzae strains with those of their wild ancestor, A. flavus. Over time, he found, selection by humans had boosted A. oryzae’s ability to break down starches and to tolerate the alcohol produced by fermentation. “The restructuring of metabolism appears to be a hallmark of domestication in fungi,” he reported last week at Microbe 2022, the annual meeting of the American Society for Microbiology. For example, domesticated Aspergillus strains may have up to five times more copies of a gene for metabolizing starches as their ancestor—“a brilliant way for evolution to turn up this enzyme,” Wolfe says.

We have eradicated smallpox, cured many bacterial diseases, and invented a vaccine for Covid-19 within the year. But for a very long time we haven’t had a single good treatment for obesity. Has that now changed?

Engineers have created intelligent 3D printers that can quickly detect and correct errors, even in previously unseen designs, or unfamiliar materials like ketchup and mayonnaise, by learning from the experiences of other machines.

The engineers, from the University of Cambridge, developed a machine learning algorithm that can detect and correct a wide variety of different errors in real time, and can be easily added to new or existing machines to enhance their capabilities. 3D printers using the algorithm could also learn how to print new materials by themselves. Details of their low-cost approach are reported in the journal Nature Communications.

3D printing has the potential to revolutionize the production of complex and customized parts, such as aircraft components, personalized medical implants, or even intricate sweets, and could also transform manufacturing supply chains. However, it is also vulnerable to production errors, from small-scale inaccuracies and mechanical weaknesses through to total build failures.

Down the line, the researchers hope to develop an injectable protein solution that forms a gel inside the body. The ability to design hydrogels with specific functions opens up for a range of possible applications. Such a gel could, for example, be used to achieve a controlled release of drugs into the body. In the chemical industry, it could be fused to enzymes, a form of proteins used to speed up various chemical processes.

“In the slightly longer term, I think injectable gels can become very useful in regenerative medicine,” says the study’s first author Tina Arndt, a PhD student in Anna Rising’s research group at Karolinska Institute. “We have a long way to go, but the fact that the protein solution quickly forms a gel at body temperature and that the spider silk has been shown to be well tolerated by the body is promising.”

The ability of spiders to spin incredibly strong fibers from a silk protein solution in fractions of a second has sparked an interest in the underlying molecular mechanisms. The researchers at KI and SLU have been particularly interested in the spiders’ ability to keep proteins soluble so that they do not clump together before the spinning of the spider silk. They have previously developed a method for the production of valuable proteins which mimics the process the spider uses to produce and store its silk proteins.

6G radiation is affecting brain cells. As 6G as the successor of 5G is poised to take over the world, should we worry? I feel so.

Discovery could help assess new communication technology and also develop therapies to treat brain diseases, Beijing researchers say.

Although chemotherapy can be a lifesaving treatment for patients with cancer, some of these medications can damage the heart. A team led by researchers at Massachusetts General Hospital (MGH) recently developed a nanoparticle probe that can detect an indicator of heart damage from chemotherapy.

Experiments with the probe also revealed that in mice with cancer, intermittent fasting before chemotherapy can prevent this heart damage indicator from arising, leading to preserved cardiac function and prolonged survival.

The study, which is published in Nature Biomedical Engineering, focused on autophagy—a process that cells use to remove unnecessary or dysfunctional components. A delicate balance exists between the protective and deleterious effects of this process: reduced levels of autophagy have been implicated in cardiovascular disease and other conditions; however, autophagy can also be a primary mechanism of cell death.

A simple statistical test shows that contrary to current practice, the “gaps” within DNA protein and sequence alignments commonly used in evolutionary biology can provide important information about nucleotide and amino acid substitutions over time. The finding could be particularly relevant to those studying distantly related species. The work appears in Proceedings of the National Academy of Sciences.

Biologists studying evolution do so by looking at how DNA and protein sequences change over time. These changes can be sequence length changes—when specific nucleotides are deleted or added at certain positions—or substitutions, where one nucleotide type is exchanged for a different type at a given point.

“Think of the DNA sequence and its evolution as a sentence being copied by different people over time,” says Jeff Thorne, professor of biological sciences and statistics at NC State and a co-corresponding author of the research. “Over time, a letter in a word will change—that’s a substitution. Leaving out or adding letters or words correspond to deletions or insertions.”

An artificial intelligence (AI) algorithm to detect subtle brain abnormalities that cause epileptic seizures has been developed. The abnormalities, known as focal cortical dysplasias (FCDs), can often be treated with surgery but are difficult to visualize on an MRI. The new algorithm is expected to give physicians greater confidence in identifying FCDs in patients with epilepsy.

The work, which was part of the Multicentre Epilepsy Lesion Detection (MELD) project, appeared in Brain “Interpretable surface-based detection of focal cortical dysplasias: a Multi-centre Epilepsy Lesion Detection study.” Konrad Wagstyl, PhD, and Sophie Adler, PhD, both from University College London, led an international team of researchers on the work.

To develop the algorithm, the team quantified features of the brain cortex—such as thickness and folding—in more than 1,000 patient MRI scans from 22 epilepsy centers around the world. They then trained the algorithm on examples labeled by expert radiologists as either being healthy or having FCD.