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A regulatory cascade controls Staphylococcus aureus pathogenicity island activation

Abstract

Staphylococcal pathogenicity islands (SaPIs) are a family of closely related mobile chromosomal islands that encode and disseminate the superantigen toxins, toxic shock syndrome toxin 1 and superantigen enterotoxin B (SEB). They are regulated by master repressors, which are counteracted by helper phage–encoded proteins, thereby inducing their excision, replication, packaging and intercell transfer. SaPIs are major components of the staphylococcal mobilome, occupying five chromosomal att sites, with many strains harbouring two or more. As regulatory interactions between co-resident SaPIs could have profound effects on the spread of superantigen pathobiology, we initiated the current study to search for such interactions. Using classical genetics, we found that, with one exception, their regulatory systems do not cross-react. The exception was SaPI3, which was originally considered defective because it could not be mobilized by any known helper phage. We show here that SaPI3 has an atypical regulatory module and is induced not by a phage but by many other SaPIs, including SaPI2, SaPIbov1 and SaPIn1, each encoding a conserved protein, Sis, which counteracts the SaPI3 repressor, generating an intracellular regulatory cascade: the co-resident SaPI, when conventionally induced by a helper phage, expresses its sis gene which, in turn, induces SaPI3, enabling it to spread. Using bioinformatics analysis, we have identified more than 30 closely related coancestral SEB-encoding SaPI3 relatives occupying the same att site and controlled by a conserved regulatory module, immA–immR–str′. This module is functionally analogous but unrelated to the typical SaPI regulatory module, stl–str. As SaPIs are phage satellites, SaPI3 and its relatives are SaPI satellites.

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Fig. 1: Helper SaPIbov1 promotes satellite SaPI3 induction and transfer.
Fig. 2: Impact of SaPI3 induction on helper SaPI replication and transfer.
Fig. 3: Sis and ImmR co-localize in vivo.
Fig. 4: The helper SaPI Sis inducer alleviates SaPI3 ImmR repression.
Fig. 5: ImmA is required for full activation of SaPI3.
Fig. 6: Model of SaPI3 activation.

Data availability

No original sequence data were generated in this study. Accession codes for nucleotide sequences harbouring the studied sis homologues are as follows: SaPI1 (U93688), SaPI2 (EF010993), SaPI3 (NC_002951), SaPI4 (NC_002951), SaPI5 (NC_007793), SaPIn1 (NC_002745), SaPIbov1 (NC_007622), SaPIbov2 (AY220730), SaPIbov4 (HM211303) and SaPIbov5 (HM228919). Source data are provided with this paper.

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Acknowledgements

This work was supported by grants MR/V000772/1, MR/M003876/1 and MR/S00940X/1 from the Medical Research Council (UK); BB/N002873/1, BB/S003835/1 and BB/V002376/1 from the Biotechnology and Biological Sciences Research Council (BBSRC, UK); Wellcome Trust 201531/Z/16/Z; ERC-ADG-2014 Proposal no. 670932 Dut-signal from EU to J.R.P; and grants from the Ministry of Education (MOE), MOE2017-T2-2-163 and MOE2019-T2-2-162, to J.C. J.R.P. thanks the Royal Society and the Wolfson Foundation for providing him support through a Royal Society Wolfson Fellowship. We thank L. Lemgruber Soares of the Glasgow Imaging Facility for their support and assistance in this work.

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R.P.N. and J.R.P. conceived the study. A.F.H., M.P., R.I-C., F.G.d.S. and G.R. conducted the experiments. A.F.H., M.P., J.C., A.M., R.P.N. and J.R.P analysed the data. R.P.N. and J.R.P wrote the manuscript.

Corresponding authors

Correspondence to Richard P. Novick or José R. Penadés.

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The authors declare no competing interests.

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Peer review information Nature Microbiology thanks the anonymous reviewers for their contribution to the peer review of this work. Peer reviewer reports are available.

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Supplementary information

Supplementary Information

Supplementary Figs. 1–13, Tables 1–9 and References.

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Supplementary Data 1

Supplementary Excel workbook containing source data and statistical analyses for Fig. 1.

Supplementary Data 2

Supplementary Excel workbook containing source data and statistical analyses for Fig. 2.

Supplementary Data 3

Supplementary Excel workbook containing source data and statistical analyses for Fig. 4.

Supplementary Data 4

Supplementary Excel workbook containing source data and statistical analyses for Fig. 5.

Supplementary Data 5

Supplementary Excel workbook containing source data and statistical analyses for Fig. S2.

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Supplementary Excel workbook containing source data and statistical analyses for Fig. S6.

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Supplementary Excel workbook containing source data and statistical analyses for Fig. S7.

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Supplementary Excel workbook containing source data and statistical analyses for Fig. S8.

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Supplementary Excel workbook containing source data and statistical analyses for Fig. S9.

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Supplementary Excel workbook containing source data and statistical analyses for Fig. S10.

Supplementary Data 11

Supplementary Excel workbook containing source data and statistical analyses for Fig. S11.

Source data

Source Data Fig. 1

Uncropped Southern blots.

Source Data Fig. 2

Uncropped Southern blots.

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Haag, A.F., Podkowik, M., Ibarra-Chávez, R. et al. A regulatory cascade controls Staphylococcus aureus pathogenicity island activation. Nat Microbiol 6, 1300–1308 (2021). https://doi.org/10.1038/s41564-021-00956-2

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