Salmonella Enteritidis is an important foodborne pathogen that can infect a wide range of animal species including human beings, resulting in great losses to commercial husbandry and human health. CirA is an outer membrane receptor involved in iron uptake and colicin1A/B‐mediated competitive killing. Although iron uptake is crucial to bacterial virulence, limited literature is available about the role of CirA in infection. In the present work, we aimed to evaluate the role of CirA during S. Enteritidis infection. For this purpose, we generated a CirA‐deficient mutant of the S. Enteritidis strain C50336 and examined its biological characteristics. The results showed that cirA gene inactivation caused sharply decreased biofilm formation and apparently impaired antibiotic resistance. Furthermore, the cirA gene deletion mutant showed markedly reduced adhesion and invasion to human epithelial cell line Caco‐2 cells and decreased proliferation in mouse macrophage cell line RAW264.7 cells. Moreover, attenuated virulence was determined by a mouse model, with an LD50 increase of approximately 1,000‐fold. These data indicated that CirA plays critical roles in the S. Enteritidis infection process.
This letter proposes a hybrid beamforming design for an intelligent transmissive surface (ITS)-assisted transmitter wireless network. We aim to suppress the sidelobes and optimize the mainlobes of the transmit beams by minimizing the proposed cost function based on the least squares (LS) for the digital beamforming vector of the base station (BS) and the phase shifts of the ITS. To solve the minimization problem, we adopt an efficient algorithm based on the alternating optimization (AO) method to design the digital beamforming vector and the phase shifts of the ITS in an alternating manner. In particular, the alternating direction method of multipliers (ADMM) algorithm is utilized to obtain the optimal phase shifts of the ITS. Finally, we verify the improvement achieved by the proposed algorithm in terms of the beam response compared to the benchmark schemes by the simulation results.
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