Antibiotic Resistance Patterns of Enterobacteriaceae Isolated from Patients with Healthcare-Associated Infections.

BACKGROUND: There have been recent proposals to categorize healthcare-associated infections (HCAIs) separately from community-acquired infections (CAIs). The aim of this study was to compare the antibiotic resistance of pathogens causing CAIs, HCAIs, and hospital-acquired infections (HAIs) in Korea, and to investigate the need for different empirical antibiotics therapy for CAIs and HCAIs. MATERIALS AND METHODS: This prospective study was conducted in a university hospital between March and December 2019. Inpatients who underwent a bacterial culture within 2 days of hospitalization, with a Enterobacteriaceae strain identified at the infection site and available antibiotic susceptibility results, were included in the analysis. Infections were classified as CAIs, HCAIs or HAIs, depending on the source. RESULTS: Of the 146 patients included in the analysis, the prevalence of fluoroquinolone-resistant Enterobacteriaceae was 18.8%, 38.5%, and 55.0%; the prevalence of pathogens showing third-generation cephalosporins resistance was 8.3%, 50.0%, and 60.0%; and the prevalence of pathogens showing piperacillin-tazobactam resistance was 8.3%, 7.7%, 15.0% in the CAIs, HCAIs, and HAIs groups, respectively. The prevalence of extended-spectrum beta-lactamase-positive pathogens was 6.3%, 47.3%, and 55.0% in the CAIs, HCAIs, and HAIs group, respectively, with no significant difference between the HCAIs and HAIs groups. Resistance patterns of the HCAIs group more closely resembled those of the HAIs group than those of the CAIs group. CONCLUSION: The pathogens isolated from patients with HCAIs showed resistance patterns that were more similar to those of patients with HAIs than those with CAIs. Thus, CAIs and HCAIs should be distinguished from each other when selecting antibiotic agents.

Cytogenetic analysis of Bienertia sinuspersici Akhani as the first step in genome sequencing.

BACKGROUND: C4 plants are efficient in suppressing photorespiration and enhancing carbon gain as compared to C3 plants. Bienertia sinuspersici Akhani is one of the few species in the family Amaranthaceae that can perform C4 photosynthesis within individual chlorenchyma cells, without the conventional Kranz anatomy in its leaf. This plant is salt-tolerant and is well-adapted to thrive in hot and humid climates. To date, there have been no reported cytogenetic analyses yet on this species. OBJECTIVE: This study aims to provide a cytogenetic analysis of B. sinuspersici as the first step in genome sequencing. METHODS: Fluorescence in situ hybridization (FISH) karyotype analysis was conducted using the metaphase chromosomes of B. sinuspersici probed with 5S and 45S rDNA and Arabidopsis-type telomeric repeats. RESULTS: Results of the cytogenetic analysis confirmed that B. sinuspersici has 2n = 2x = 18 consisting of nine pairs of metacentric chromosomes. Two loci of 45S rDNA were found on the distal regions of the short arm of chromosome 7. Nine loci of 5S rDNA were found in the pericentromeric regions of chromosomes 1, 3, 4, 6, and 8, which also colocalized with Arabidopsis-type telomeric repeats; while four loci in the interstitial regions of chromosome 5 and 8 can be observed. The single locus of 5S rDNA that was found in chromosome 8 appears to be hemizygous. CONCLUSION: The FISH karyotype analysis, based on the combination of rDNAs, telomeric tandem repeat markers and C0t DNA chromosome landmarks, allowed efficient chromosome identification and provided useful information in characterizing the genome of B. sinuspersici.

Whole-genome resequencing and transcriptomic analysis of genes regulating anthocyanin biosynthesis in black rice plants.

Anthocyanins are involved in many diverse functions in rice, but their benefits have yet to be clearly demonstrated. Our objective in this study was to identify anthocyanin-related genes in black rice plants. We identified anthocyanin-related genes in black rice plants using a combination of whole-genome resequencing, RNA-sequencing (RNA-seq), microarray experiments, and reverse-transcriptase polymerase chain reaction (RT-PCR). Using multi-layer screening from 30 rice accessions, we identified 172,922 single-nucleotide polymorphisms (SNPs) and 1276 differentially expressed genes that appear to be related to anthocyanin biosynthesis. We identified 18 putative genes from 172,922 SNPs using intensive selective sweeps. The 18 candidate genes identified from SNPs were not significantly correlated with the RNA-seq expression pattern or other well-known anthocyanin biosynthesis/metabolism genes. We also identified nine putative genes from 1276 differentially expressed genes using RNA-seq transcriptome analysis. In addition, we identified four phylogenetic groups from these nine candidate genes and 51 pathway-network genes. Finally, we verified nine anthocyanin-related genes using a newly designed microarray and semi-quantitative RT-PCR. We suggest that these nine identified genes appear to be related to the regulation of anthocyanin biosynthesis and/or metabolism.