Quantitative proteomics reveals the complex regulatory networks of LTTR-type regulators in pleiotropic functions of Aeromonas hydrophila.

LysR-type transcriptional regulators (LTTRs) are ubiquitously distributed and abundant transcriptional regulators in prokaryotes, playing pivotal roles in diverse physiological processes. Nonetheless, despite their prevalence, the intricate functionalities and physiological implications of this protein family remain incompletely elucidated. In this study, we employed a comprehensive approach to deepen our understanding of LTTRs by generating a collection of 20 LTTR gene-deletion strains in Aeromonas hydrophila, accounting for 42.6 % of the predicted total LTTR repertoire, and subjected them to meticulous assessment of their physiological phenotypes. Leveraging quantitative proteomics, we conducted a comparative analysis of protein expression variations between six representative mutants and the wild-type strain. Subsequent bioinformatics analysis unveiled the involvement of these LTTRs in modulating a wide array of biological processes, notably including two-component regulatory systems (TCSs) and intracellular central metabolism. Moreover, employing subsequent microbiological methodologies, we experimentally verified the direct involvement of at least six LTTRs in the regulation of galactose metabolism. Importantly, through ELISA and competitive ELISA assays, we demonstrated the competitive binding capabilities of these LTTRs with the promoter of the α-galactosidase gene AHA_1897 and identified that four LTTRs (XapR, YidZ, YeeY, and AHA_1805) do not engage in competitive binding with other LTTRs. Overall, our comprehensive findings not only provide fundamental insights into the regulatory mechanisms governing crucial physiological functions of bacteria through LTTR family proteins but also uncover an intricate and interactive regulatory network mediated by LTTRs.

Quantitative proteomics investigating the intrinsic adaptation mechanism of Aeromonas hydrophila to streptomycin.

Aeromonas hydrophila, a prevalent pathogen in the aquaculture industry, poses significant challenges due to its drug-resistant strains. Moreover, residues of antibiotics like streptomycin, extensively employed in aquaculture settings, drive selective bacterial evolution, leading to the progressive development of resistance to this agent. However, the underlying mechanism of its intrinsic adaptation to antibiotics remains elusive. Here, we employed a quantitative proteomics approach to investigate the differences in protein expression between A. hydrophila under streptomycin (SM) stress and nonstress conditions. Notably, bioinformatics analysis unveiled the potential involvement of metal pathways, including metal cluster binding, iron-sulfur cluster binding, and transition metal ion binding, in influencing A. hydrophila's resistance to SM. Furthermore, we evaluated the sensitivity of eight gene deletion strains related to streptomycin and observed the potential roles of petA and AHA_4705 in SM resistance. Collectively, our findings enhance the understanding of A. hydrophila's response behavior to streptomycin stress and shed light on its intrinsic adaptation mechanism.