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Title: | Hha has a defined regulatory role that is not dependent upon H-NS or StpA |
Author: | Solórzano, Carla Srikumar, Shabarinath Canals, Rocío Juárez Giménez, Antonio Paytubi Casabona, Sònia Madrid Xufré, Cristina |
Keywords: | Proteïnes Salmonel·la Genòmica Proteins Salmonella Genomics |
Issue Date: | 30-Jul-2015 |
Publisher: | Frontiers Media |
Abstract: | The Hha family of proteins is involved in the regulation of gene expression in enterobacteria by forming complexes with H-NS-like proteins. Whereas several amino acid residues of both proteins participate in the interaction, some of them play a key role. Residue D48 of Hha protein is essential for the interaction with H-NS, thus the D48N substitution in Hha protein abrogates H-NS/Hha interaction. Despite being a paralog of H-NS protein, StpA interacts with HhaD48N with higher affinity than with the wild type Hha protein. To analyze whether Hha is capable of acting independently of H-NS and StpA, we conducted transcriptomic analysis on the hha and stpA deletion strains and the hhaD48N substitution strain of Salmonella Typhimurium using a custom microarray. The results obtained allowed the identification of 120 genes regulated by Hha in an H-NS/StpA-independent manner, 38% of which are horizontally acquired genes. A significant number of the identified genes are involved in functions related to cell motility, iron uptake, and pathogenicity. Thus, motility assays, siderophore detection and intra-macrophage replication assays were performed to confirm the transcriptomic data. Our findings point out the importance of Hha protein as an independent regulator in S. Typhimurium, highlighting a regulatory role on virulence. |
Note: | Reproducció del document publicat a: http://dx.doi.org/10.3389/fmicb.2015.00773 |
It is part of: | Frontiers in Microbiology, 2015, vol. 6, p. 773-773 |
URI: | http://hdl.handle.net/2445/66705 |
Related resource: | http://dx.doi.org/10.3389/fmicb.2015.00773 |
ISSN: | 1664-302X |
Appears in Collections: | Articles publicats en revistes (Genètica, Microbiologia i Estadística) |
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