PCR Assay for Rapid Taxonomic Differentiation of Virulent Staphylococcus aureus and Klebsiella pneumoniae Bacteriophages.
Maria KornienkoDmitry A BespiatykhMaja MalakhovaRoman B GorodnichevNikita KuptsovEgor A ShitikovPublished in: International journal of molecular sciences (2023)
Phage therapy is now seen as a promising way to overcome the current global crisis in the spread of multidrug-resistant bacteria. However, phages are highly strain-specific, and in most cases one will have to isolate a new phage or search for a phage suitable for a therapeutic application in existing libraries. At an early stage of the isolation process, rapid screening techniques are needed to identify and type potential virulent phages. Here, we propose a simple PCR approach to differentiate between two families of virulent Staphylococcus phages ( Herelleviridae and Rountreeviridae ) and eleven genera of virulent Klebsiella phages ( Przondovirus , Taipeivirus , Drulisvirus , Webervirus , Jiaodavirus , Sugarlandvirus , Slopekvirus , Jedunavirus , Marfavirus , Mydovirus and Yonseivirus ). This assay includes a thorough search of a dataset comprising S. aureus ( n = 269) and K. pneumoniae ( n = 480) phage genomes available in the NCBI RefSeq/GenBank database for specific genes that are highly conserved at the taxonomic group level. The selected primers showed high sensitivity and specificity for both isolated DNA and crude phage lysates, which permits circumventing DNA purification protocols. Our approach can be extended and applied to any group of phages, given the large number of available genomes in the databases.
Keyphrases
- multidrug resistant
- pseudomonas aeruginosa
- klebsiella pneumoniae
- staphylococcus aureus
- early stage
- biofilm formation
- circulating tumor
- drug resistant
- single molecule
- public health
- high throughput
- cell free
- acinetobacter baumannii
- cystic fibrosis
- gram negative
- disease virus
- stem cells
- big data
- emergency department
- real time pcr
- nucleic acid
- artificial intelligence
- neoadjuvant chemotherapy
- circulating tumor cells
- sentinel lymph node
- smoking cessation
- sensitive detection
- locally advanced
- deep learning
- bone marrow
- machine learning
- rectal cancer
- single cell
- respiratory tract