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Fast and accurate identification of plasmids and viruses in sequencing data using geNomad

The detection of mobile genetic elements is crucial for exploring the ecology and evolution of microbial communities, and it has diverse implications in biotechnology and public health. geNomad is a computational framework that enables researchers to precisely identifiy and annotate plasmids and viruses in sequencing data on a large scale.

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Fig. 1: geNomad framework for identifying and annotating viruses and plasmids.

References

  1. Koonin, E. V. Viruses and mobile elements as drivers of evolutionary transitions. Phil. Trans. R. Soc. B 371, 20150442 (2016). A review that discusses how MGEs function as genetic reservoirs that allow major evolutionary transitions.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Durrant, M. G. et al. Systematic discovery of recombinases for efficient integration of large DNA sequences into the human genome. Nat Biotechnol. 41, 488–499 (2023). This paper reports the discovery of thousands of MGE-encoded large serine integrases with recombination activity in human cells.

    Article  CAS  PubMed  Google Scholar 

  3. San Millan, A. Evolution of plasmid-mediated antibiotic resistance in the clinical context. Trends Microbiol. 26, 978–985 (2018). A review discussing the role of plasmids in the spread of antibiotic resistance genes in clinical settings.

    Article  CAS  PubMed  Google Scholar 

  4. Paez-Espino, D. et al. Uncovering Earth’s virome. Nature 536, 425–430 (2016). This paper identifies over a hundred thousand virus genomes in metagenomic sequencing data, expanding the number of known viral genes at that time by 16-fold.

    Article  CAS  PubMed  Google Scholar 

  5. Camargo, A. P. et al. IMG/VR v4: an expanded database of uncultivated virus genomes within a framework of extensive functional, taxonomic, and ecological metadata. Nuc. Acids Res. 51, D733–D743 (2023). This paper describes the IMG/VR v4 database, which was created using geNomad and includes more than 15 million sequences of viral genomes.

    Article  CAS  Google Scholar 

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This is a summary of: Camargo, A. P. et al. Identification of mobile genetic elements with geNomad. Nat. Biotechnol. https://doi.org/10.1038/s41587-023-01953-y (2023).

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Fast and accurate identification of plasmids and viruses in sequencing data using geNomad. Nat Biotechnol (2023). https://doi.org/10.1038/s41587-023-01982-7

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