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Identifying Conjugative Plasmids and Integrative Conjugative Elements with CONJscan

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Horizontal Gene Transfer

Part of the book series: Methods in Molecular Biology ((MIMB,volume 2075))

Abstract

We present a computational method to identify conjugative systems in plasmids and chromosomes using the CONJscan module of MacSyFinder. The method relies on the identification of the protein components of the system using hidden Markov model profiles and then checking that the composition and genetic organization of the system is consistent with that expected from a conjugative system. The method can be assessed online using the Galaxy workflow or locally using a standalone software. The latter version allows to modify the models of the module (i.e., to change the expected components, their number, and their organization).

CONJscan identifies conjugative systems, but when the mobile genetic element is integrative (ICE), one often also wants to delimit it from the chromosome. We present a method, with a script, to use the results of CONJscan and comparative genomics to delimit ICE in chromosomes. The method provides a visual representation of the ICE location. Together, these methods facilitate the identification of conjugative elements in bacterial genomes.

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Acknowledgments

This work was supported by the ANR MAGISBAC project [ANR-14-CE10-0007], the CNRS, and the Institut Pasteur. We thank the collaborators who have worked with us on this topic in the last decade, notably Fernando de la Cruz, Chris Smillie, Marie Touchon, Maria Pilar Garcillan-Barcia, and Julien Guglielmini.

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Correspondence to Eduardo P. C. Rocha .

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Cury, J., Abby, S.S., Doppelt-Azeroual, O., Néron, B., Rocha, E.P.C. (2020). Identifying Conjugative Plasmids and Integrative Conjugative Elements with CONJscan. In: de la Cruz, F. (eds) Horizontal Gene Transfer. Methods in Molecular Biology, vol 2075. Humana, New York, NY. https://doi.org/10.1007/978-1-4939-9877-7_19

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  • DOI: https://doi.org/10.1007/978-1-4939-9877-7_19

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  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-4939-9876-0

  • Online ISBN: 978-1-4939-9877-7

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