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Background: Mannose‐binding lectin (MBL) is a key component of the innate immune system that plays a crucial role in binding to the microbial sugar surface to recognize and eliminate pathogens by activating the complement system. Objective: To detect and quantify the MBL protein concentration and chicken MBL expression in selected chicken breeds in South Africa. Methods: Forty‐five blood samples from three indigenous chicken breeds, Ovambo (OV = 9), Venda (VD = 9) and Potchefstroom Koekoek (PK = 9), and two exotic chicken breeds, Rhode Island Red (RIR = 9) and Lohmann Brown (LB = 9), were used for MBL protein concentration using enzyme‐linked immunosorbent assay (ELISA) techniques. Also 20 liver samples from symptomatic two indigenous chicken breeds, OV (5) and PK (5), and two exotic chicken breeds, RIR (5) and LB (5), were used for MBL expression using quantitative polymerase chain reaction (qPCR) techniques. A general linear model was done using Tukey's multiple comparison post hoc test. Results: The findings revealed MBL protein concentration from 5.26 to 18.56 µg/mL. The LB breed had the lowest mean 6.40 ± 0.80 µg/mL, whereas the PK breed had the highest mean MBL concentration of 17.70 ± 0.24 µg/mL of MBL protein concentration. At 12, 25 and 35 weeks, the MBL proteins of OV, VD, PK, RIR and LB varied significantly at p ≤ 0.05. The mRNA MBL expression of OV and LB breeds showed a 1‐fold decrease in MBL expression, while RIR showed a 2‐fold increase in MBL expression, and the PK showed more than a 3‐fold increase in MBL expression relative to the control. The least‐squares means for OV, LB, PK and RIR mRNA MBL expression were 0.54 ± 0.19, 0.68 ± 0.30, 4.46 ± 2.76 and 2.89 ± 0.19 µg/mL, respectively. Conclusion: MBL protein was detected and quantified with distinct differences in concentration and expression levels at the presence of mycoplasma gallisepticum among the sampled South African chicken breeds. This highlights the genetic diversity of MBL as a tool for disease prevention in South African chicken breeds. [ABSTRACT FROM AUTHOR]

Bacteria that cause life-threatening illnesses in humans are also capable of contaminating hospital surfaces, thus pose as a potential source of infection. This study aimed to investigate the prevalence, genetic diversity, virulence, and antibiotic resistance profile of Klebsiella pneumoniae in South Africa. In a nonoutbreak setting involving four public hospitals, 777 samples were collected in three different wards from 11 different sites. Phenotypic and genotypic methods were used for isolation and identification. The Kirby-Bauer disk-diffusion method was used to examine antibiotic resistance followed by the combination disk method to characterize extended-spectrum β-lactamases (ESBLs). Antibiotic resistance and virulence genes were screened using PCR and clonality was investigated using enterobacterial repetitive intergenic consensus (ERIC)-PCR. Seventy-five (10%) K. pneumoniae isolates were recovered. These isolates were obtained from all four hospitals and all three wards involved. However, only six frequently touched surfaces were contaminated. Thirty (40%) isolates were characterized as ESBLs showing high resistance to antibiotics and mostly harboring the blaCTX-M group one gene. Virulence genes were highly prevalent among all the isolates. ERIC-PCR showed that the isolates recovered from different sites within the same hospital were genetically similar. The study highlighted that K. pneumoniae can contaminate various surfaces and this persistence allows for the dissemination of bacteria within the hospital environment. The information from this study can assist hospitals to evaluate and improve current infection prevention and control interventions in place. [ABSTRACT FROM AUTHOR]

Here, we report the draft genome sequence of Listeria innocua strain MEZLIS29, which was isolated from a healthy cow in Flagstaff, Eastern Cape Province, South Africa. The genome was sequenced using the Illumina MiSeq platform and had a length of 2,805,865 bp, with a G+C content of 37.5% and 2,783 coding DNA sequences, 58 tRNAs, 4 noncoding RNAs, and 8 rRNA genes.