Through a novel approach detailed in Nature, a massive computational analysis of microbiome datasets by the JGI focuses on unveiling protein functional diversity.
A Tool to Find Nomadic Genes that Help Microbes Adapt
Mobile genetic elements (MGEs) are genetic entities that seek to replicate themselves and spread from cell to cell. Two of the most common forms of MGEs are viruses and plasmids. They can be found in virtually all of Earth’s ecosystems. A software tool recently described in Nature Biotechnology called geNomad identifies and classifies MGEs based upon their gene content and their genetic sequences. The software was created by researchers under the direction of JGI Microbiome Data Science Group Lead Nikos Kyrpides.
The JGI Leverages Soil Virus for Insight into Maintaining Microorganisms
Through a collaborative effort, researchers have identified a protein in soil viruses that may promote soil health. The work was enabled in part by a community data portal of the U.S. Department of Energy (DOE) Joint Genome Institute (JGI), a DOE Office of Science User Facility located at Lawrence Berkeley National Laboratory (Berkeley Lab). Using 5,000 images of crystalized samples cloned and synthesized by the JGI, scientists have begun the complex process of uncovering the hidden secrets of soil viruses.
The JGI’s Genomes OnLine Database Celebrates 25 Years of Data Contextualization
Since its launch 25 years ago, the Genomes OnLine Database has matured from six projects on a spreadsheet into a flagship genomic metadata repository, making curated microbiome metadata that follows community standards freely available, and enabling large-scale comparative genomics analysis initiatives.
JGI Adds Actinobacteria Chapter in the Genomic Encyclopedia of Bacteria and Archaea
In Cell Genomics, an international consortium led by researchers at the Joint Genome Institute team generated 824 new Actinobacteria genomes, which were were combined with nearly 5,000 publicly available ones and 1,100 metagenome-assembled genomes (MAGs) reconstructed from sequenced environmental samples in a previous study.
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