Diarrhea is one of the common adverse reactions in antibiotic treatment, which is usually caused by the imbalance of intestinal flora, and probiotics play an important role in the structure of intestinal flora. Therefore, this experiment studied the regulatory effect of Lactiplantibacillus plantarum 2-33 on antibiotic-associated diarrhea (AAD) mice. First, the AAD mice model was established by the mixed antibiotic solution of gentamicin sulfate and cefradine. Then, the physiological indexes and diarrhea of mice were observed and recorded by gastric perfusion of low dose (1.0 × 107 CFU/ml), medium dose (1.0 × 108CFU/ml), and high dose (1.0 × 109 CFU/ml) strain 2-33. 16S rRNA gene V3-V4 regions were sequenced in colon contents of mice in control group, model group, self-healing group, and experimental group, respectively, and the diversity of intestinal flora and gene function prediction were analyzed. The results showed that the intestinal flora of AAD mice was not significantly regulated by gastric perfusion of strain 2-33 to 7 days, but the relative abundance and diversity of intestinal flora of AAD mice were significantly improved by gastric perfusion to 14 days (p < 0.05). In addition, at the genus level, the relative abundance of Lactobacillus increased significantly, and the relative abundance of Enterococcus and Bacillus decreased significantly (p < 0.05). In addition, the regulation of strain 2-33 on intestinal flora of AAD mice was time- and dose-dependent, short-term gastric perfusion, and low dose had no significant effect (p > 0.05). Strain 2-33 can significantly increase the levels of anti-inflammatory cytokines IL-4 and IL-10, significantly decrease the levels of proinflammatory cytokines TNF-α and IFN-γ (p < 0.05), and can also adjust carbohydrate metabolism, amino acid metabolism, and energy metabolism to normal levels, thus accelerating the recovery of intestinal flora structure of AAD mice. In summary, strain 2-33 can improve the structure and diversity of intestinal flora of AAD mice, balance the level of substance and energy metabolism, and play a positive role in relieving diarrhea, maintaining and improving the intestinal microecological balance.
As the vehicle and wind speeds and directions change, the unsteady flow creates non-stationary wind noise. To investigate people's perceptions of non-stationary wind noise, a method to simulate the non-stationary wind noise is needed. Previously, a method was developed that used stationary recordings taken at several speeds and directions to create a set of sound pressure level predictions in each one-third octave band that are a function of wind speed and direction. These functions are used to create time-varying filters based on provided wind profiles. A reference wind noise measurement is then filtered to produce the sounds. A drawback of this method is that many stationary wind condition measurements are needed to form accurate sound pressure level functions, which can be time consuming. A method requiring fewer measurements was investigated. At each yaw angle one non-stationary noise measurement and one stationary reference measurement are used to estimate the relationship between sound power and wind speed. The accuracy of the estimation was validated by comparing wind noise simulations with wind tunnel measurements, A further improvement is to use partially correlated white noise signals to simulate binaural sounds that have a similar coherence structure between the left and right ear sounds to that observed in binaural measurements in the vehicle.
The intestinal flora has a variety of physiological functions involved in the regulation of host metabolism, immunity and endocrinology, and plays an important role in maintaining the health of the host. In this study, we used high-throughput sequencing technology to analyze the intestinal bacterial diversity and their gene functions in three equine species of the genus Shetland Pony (SP), Mongolian Wild Ass (MA), and Plain Zebra (PZ) in captivity in two wildlife parks in Inner Mongolia Autonomous Region, China. The results showed that only the SP intestinal bacterial abundance index (Chao1) was significantly different (P < 0.05) between the same species in the two wildlife parks, but neither the intestinal bacterial diversity index (Shannon) nor the community composition were significantly different (P > 0.05). The bacterial abundance index (Chao1) was significantly higher in MA than SP (P < 0.05) and highly significantly higher than PZ (P < 0.01); the bacterial diversity index (Shannon) was higher in MA than PZ, but there was no significant difference, but both MA and PZ were significantly higher than SP (P < 0.05). Moreover, the intestinal bacterial community composition was significantly different among the three equine species (P = 0.001). The dominant bacterial phyla for SP, MA, and PZ were Firmicutes and Bacteroidota; among them, the bacterial family with the highest relative abundance was Lachnospiraceae and the bacterial genus was Rikenellaceae_RC9_gut_group. Analysis of the metabolic gene functions of intestinal bacteria revealed that the highest relative abundance at Pathway level 2 was for global and overview maps; at Pathway level 3, the highest relative abundance was for biosynthesis of secondary metabolites. In sum, the intestinal bacterial community composition and diversity of the above three equine species differed significantly, but their metabolic gene functions were similar. Moreover, the results of this manuscript fill the gap in the study of intestinal bacterial diversity in SP, MA, and PZ. It also provides a reference for the study of the dominant bacteria in the intestinal microorganisms of these three equine species and the discovery of novel functional genes.
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