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Identification of Staphylococcus aureus virulence-modulating RNA from transcriptomics data with machine learning
The virulence factors of Staphylococcus aureus are tightly controlled by two-component systems (TCSs) and small RNA (sRNA). TCSs have been well studied over the past several decades, but our understanding of sRNA functions lags far behind that of TCS functions. Here, we studied the biological role o...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10337500/ https://www.ncbi.nlm.nih.gov/pubmed/37431942 http://dx.doi.org/10.1080/21505594.2023.2228657 |
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author | Yu, Jinlong Li, Mingzhang Wang, Jin Hamushan, Musha Jiang, Feng Wang, Boyong Hu, Yujie Han, Pei Tang, Jin Guo, Geyong Shen, Hao |
author_facet | Yu, Jinlong Li, Mingzhang Wang, Jin Hamushan, Musha Jiang, Feng Wang, Boyong Hu, Yujie Han, Pei Tang, Jin Guo, Geyong Shen, Hao |
author_sort | Yu, Jinlong |
collection | PubMed |
description | The virulence factors of Staphylococcus aureus are tightly controlled by two-component systems (TCSs) and small RNA (sRNA). TCSs have been well studied over the past several decades, but our understanding of sRNA functions lags far behind that of TCS functions. Here, we studied the biological role of sRNA from 506 S. aureus RNA-seq datasets using independent component analysis (ICA). We found that a previously neglected sRNA, Sau-41, functions in the Agr system. Sau-41 is located within the PSMα operon and controlled by the Agr system. It was predicted to share 22-base complementarity with RNAIII, a major regulator of S. aureus virulence. The EMSA results demonstrated that Sau-41 directly binds to RNAIII. Furthermore, our results found that Sau-41 is capable of repressing S. aureus haemolysin activity by downregulating α-haemolysin and δ-toxin. The repression of α-haemolysin was attributed to the competition between the 5’ UTR of hla and Sau-41 for binding RNAIII. We observed that Sau-41 mitigated S. aureus virulence in an orthopaedic implant infection mouse model and alleviated osteolysis. Together, our results indicate that Sau-41 is a virulence-regulating RNA and suggest that Sau-41 might be involved in a negative feedback mechanism to control the Agr system. This work is a demonstration of using ICA in sRNA identification by mining high-throughput data and could be extended to other organisms as well. |
format | Online Article Text |
id | pubmed-10337500 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-103375002023-07-13 Identification of Staphylococcus aureus virulence-modulating RNA from transcriptomics data with machine learning Yu, Jinlong Li, Mingzhang Wang, Jin Hamushan, Musha Jiang, Feng Wang, Boyong Hu, Yujie Han, Pei Tang, Jin Guo, Geyong Shen, Hao Virulence Research Paper The virulence factors of Staphylococcus aureus are tightly controlled by two-component systems (TCSs) and small RNA (sRNA). TCSs have been well studied over the past several decades, but our understanding of sRNA functions lags far behind that of TCS functions. Here, we studied the biological role of sRNA from 506 S. aureus RNA-seq datasets using independent component analysis (ICA). We found that a previously neglected sRNA, Sau-41, functions in the Agr system. Sau-41 is located within the PSMα operon and controlled by the Agr system. It was predicted to share 22-base complementarity with RNAIII, a major regulator of S. aureus virulence. The EMSA results demonstrated that Sau-41 directly binds to RNAIII. Furthermore, our results found that Sau-41 is capable of repressing S. aureus haemolysin activity by downregulating α-haemolysin and δ-toxin. The repression of α-haemolysin was attributed to the competition between the 5’ UTR of hla and Sau-41 for binding RNAIII. We observed that Sau-41 mitigated S. aureus virulence in an orthopaedic implant infection mouse model and alleviated osteolysis. Together, our results indicate that Sau-41 is a virulence-regulating RNA and suggest that Sau-41 might be involved in a negative feedback mechanism to control the Agr system. This work is a demonstration of using ICA in sRNA identification by mining high-throughput data and could be extended to other organisms as well. Taylor & Francis 2023-07-11 /pmc/articles/PMC10337500/ /pubmed/37431942 http://dx.doi.org/10.1080/21505594.2023.2228657 Text en © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent. |
spellingShingle | Research Paper Yu, Jinlong Li, Mingzhang Wang, Jin Hamushan, Musha Jiang, Feng Wang, Boyong Hu, Yujie Han, Pei Tang, Jin Guo, Geyong Shen, Hao Identification of Staphylococcus aureus virulence-modulating RNA from transcriptomics data with machine learning |
title | Identification of Staphylococcus aureus virulence-modulating RNA from transcriptomics data with machine learning |
title_full | Identification of Staphylococcus aureus virulence-modulating RNA from transcriptomics data with machine learning |
title_fullStr | Identification of Staphylococcus aureus virulence-modulating RNA from transcriptomics data with machine learning |
title_full_unstemmed | Identification of Staphylococcus aureus virulence-modulating RNA from transcriptomics data with machine learning |
title_short | Identification of Staphylococcus aureus virulence-modulating RNA from transcriptomics data with machine learning |
title_sort | identification of staphylococcus aureus virulence-modulating rna from transcriptomics data with machine learning |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10337500/ https://www.ncbi.nlm.nih.gov/pubmed/37431942 http://dx.doi.org/10.1080/21505594.2023.2228657 |
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