Microarray based genetic profiling of Staphylococcus aureus isolated from abattoir byproducts of pork origin.
Marina MorachNadine KäppeliMirjam HochreutenerSophia JohlerJérôme JulmiRoger StephanDanai EtterPublished in: PloS one (2019)
Many parts of pork meat processing are currently not used for human consumption in Switzerland, although they are of great nutritional value. Therefore, data on the occurrence of pathogenic organisms on byproducts is extremely scarce and the prevalence and population structure of Staphylococcus aureus on meat processing sidestreams is unknown. Hence, abattoir byproducts of pork origin including ear, forefoot, heart, intestine, liver, rib bone, sternum, bladder, stomach, hind foot and tongue originating from six abattoirs were screened for S. aureus. The obtained isolates were investigated by spa typing and DNA microarray analysis to reveal their genomic profile and population structure. The prevalence of S. aureus was generally low with a mean of 8%. In total, 40 S. aureus strains were detected and assigned to 12 spa types (t015, t1491, t1778, t091, t337, t899, t2922, t7439, t1333, t208, t4049, t034) and seven clonal complexes (CC1, CC7, CC9, CC30, CC45, CC49, CC398). Detected enterotoxin genes included sea, seb, sec, seh, sel and egc encoded toxin genes seg, sei, sem, sen, seo, and seu. None of the isolates harbored genes conferring methicillin resistance, but blaZ/I/R genes causing penicillin resistance were frequently found. In addition, strains from CC398 exhibited tetM and tetK, conferring tetracycline resistance. Similarity calculations based on microarray profiles revealed no association of clonal complexes with particular body parts, but revealed a certain correspondence of clonal complex and originating abattoir.
Keyphrases
- staphylococcus aureus
- genome wide
- bioinformatics analysis
- escherichia coli
- drinking water
- single cell
- risk factors
- genome wide identification
- endothelial cells
- spinal cord injury
- dna methylation
- heart failure
- methicillin resistant staphylococcus aureus
- bone mineral density
- machine learning
- gene expression
- postmenopausal women
- pseudomonas aeruginosa
- atrial fibrillation
- multidrug resistant
- deep learning
- copy number
- circulating tumor
- transcription factor
- cystic fibrosis
- urinary tract
- atomic force microscopy
- candida albicans