""This is a treasure trove for any biochemist," says José Antonio Escudero, a microbiologist at the CSIC National Center for Biotechnology in Madrid, who was not involved in either study."
""There's a hope that maybe there's a next generation of molecular tools that would come from some of these new systems," says Michael Laub, a microbiologist at the Massachusetts Institute of Technology in Cambridge and a co-author on one of the studies."
""Most of it is still dark matter," says Escudero. "There are many things that we don't know how they work or what they are.""
""But the big question was how much diversity and how can we actually predict it at scale?" says Aude Bernheim, a microbiologist at the Pasteur Institute in Paris and a co-author on one of the papers."
Recent studies reveal that bacteria utilize a significant number of antiviral proteins to defend against viruses, far exceeding previous estimates. Machine-learning algorithms were employed to analyze bacterial genomes, uncovering hundreds of thousands of potential antiviral proteins. This discovery opens new avenues for biotechnological applications, building on existing systems like CRISPR-Cas9. Researchers emphasize the potential for developing next-generation molecular tools from these newly identified systems, highlighting the vast unknowns within bacterial genomes that still need exploration.
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