Role of two UDP-Glycosyltransferases from the L group of arabidopsis in resistance against pseudomonas syringae

The role of the salicylic acid (SA) glycosides SA 2-O-β-D-glucose (SAG), SA glucose ester (SGE) and the glycosyl transferases UGT74F1 and UGT74F2 in the establishment of basal resistance of Arabidopsis against Pseudomonas syringae pv tomato DC3000 (Pst) was investigated. Both mutants altered in the corresponding glycosyl transferases (ugt74f1 and ugt74f2) were affected in their basal resistance against Pst. The mutant ugt74f1 showed enhanced susceptibility, while ugt74f2 showed enhanced resistance against the same pathogen. Both mutants have to some extent, altered levels of SAG and SGE compared to wild type plants, however, in response to the infection, ugt74f2 accumulated higher levels of free SA until 24 hpi compared to wild type plants while ugt74f1 accumulated lower SA levels. These SA levels correlated well with reduced expression in PR1 and EDS1 in ugt74f1. In contrast, ugt74f2 has enhanced expression of Enhanced Disease Susceptibility 1 (EDS1) but a strong reduction in the expression of several jasmonate (JA)-dependent genes. Bacterial infection interfered with the expression of Fatty Acid Desaturase (FAD), Lipoxygenase2 (LOX2), carboxyl methyltransferase1 (BSMT1) and 9-cis-epoxycarotenoid dioxygenase (NCED3) genes in ugt74f1, thus promoting an antagonistic effect with SA-signalling and leading to enhanced bacterial growth. UGT74F2 might be a target for bacterial effectors since bacterial mutants affected in effector synthesis were impaired in inducing UGT74F2 expression. These results suggest that UGT74F2 negatively influences the accumulation of free SA, hence leading to an increased susceptibility due to reduced SA levels and increased expression of the JA and ABA markers LOX-2, FAD and NCED-3.

Genotypes and antibiotic resistance of bovine Campylobacter and their contribution to human campylobacteriosis

Campylobacter jejuni and Campylobacter coli are the most important bacterial causes of human gastroenteritis. Chicken has been recognized as a major source for human infection, whereas cattle might also contribute to a lesser extent. However, there is a paucity of information available regarding Campylobacter in Swiss cattle and their role for human campylobacteriosis. To gain more information on genotypes and antibiotic resistance of bovine C. jejuni and C. coli and on their contribution to human disease, 97 cattle isolates were analysed. Multilocus sequence typing (MLST) and flaB typing were applied and the gyrA and 23S rRNA genes were screened for point mutations responsible for quinolone and macrolide resistance, respectively. A total of 37 sequence types (STs) and 44 flaB types were identified, including two sequence types and five flaB types not previously described. Most common sequence types were ST21 (21%), ST61 (12%) and ST48 (11%). Only one isolate was macrolide resistant while 31% (n = 30) were quinolone resistant. Source attribution indicated chicken as the main source of human infection with cattle being second. In conclusion, cattle should not be underestimated as a potential source of human campylobacteriosis.

Network Analysis Reveals Sex- and Antibiotic Resistance-Associated Antivirulence Targets in Clinical Uropathogens.

Increasing antibiotic resistance among uropathogenic Escherichia coli (UPEC) is driving interest in therapeutic targeting of nonconserved virulence factor (VF) genes. The ability to formulate efficacious combinations of antivirulence agents requires an improved understanding of how UPEC deploy these genes. To identify clinically relevant VF combinations, we applied contemporary network analysis and biclustering algorithms to VF profiles from a large, previously characterized inpatient clinical cohort. These mathematical approaches identified four stereotypical VF combinations with distinctive relationships to antibiotic resistance and patient sex that are independent of traditional phylogenetic grouping. Targeting resistance- or sex-associated VFs based upon these contemporary mathematical approaches may facilitate individualized anti-infective therapies and identify synergistic VF combinations in bacterial pathogens.