AI Article Synopsis
- A significant portion of eukaryotic microbial diversity can't be grown in laboratories, limiting traditional genomic research methods.
- Single cell genomics (SCG) allows researchers to analyze individual cells from their natural environment, providing new opportunities for studying these elusive microbes.
- In this study, SCG was used to generate a draft genome for a cell from the MAST-4 group, revealing nearly 7,000 protein-encoding genes and offering insights into the evolutionary processes, including horizontal gene transfer in this lineage.
Article Abstract
A broad swath of eukaryotic microbial biodiversity cannot be cultivated in the lab and is therefore inaccessible to conventional genome-wide comparative methods. One promising approach to study these lineages is single cell genomics (SCG), whereby an individual cell is captured from nature and genome data are produced from the amplified total DNA. Here we tested the efficacy of SCG to generate a draft genome assembly from a single sample, in this case a cell belonging to the broadly distributed MAST-4 uncultured marine stramenopiles. Using de novo gene prediction, we identified 6,996 protein-encoding genes in the MAST-4 genome. This genetic inventory was sufficient to place the cell within the ToL using multigene phylogenetics and provided preliminary insights into the complex evolutionary history of horizontal gene transfer (HGT) in the MAST-4 lineage.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3998028 | PMC |
| http://dx.doi.org/10.1038/srep04780 | DOI Listing |
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