A Simple Multiplex Reverse Transcription-PCR Method for the Diagnosis of L-A and M Totiviruses in Saccharomyces cerevisiae.

Abstract

Killer yeasts and their toxins have many potential applications in environmental, medical, and industrial biotechnology. The killer phenotype in Saccharomyces cerevisiae relies on the cytoplasmic persistence of two dsRNA viruses, L-A and M. M encodes the toxin, and L-A provides proteins for expression, replication, and capsids for both viruses. Yeast screening and characterization of this trait are usually performed phenotypically based on their toxin production and immunity. In this study, we describe a simple and specific reverse transcription (RT) multiplex PCR assay for direct diagnosis of the dsRNA totivirus genomes associated with the killer trait in the S. cerevisiae yeast. This method obviates RNA purification steps and primer addition to the RT reaction. Using a mixture of specific primers at the PCR step, this multiplex RT-PCR protocol provided an accurate diagnosis of both L-A and M totivirus in all its known variants, L-A-1/M1, L-A-2/M2, L-A-28/M28, and L-A-lus/Mlus, found in infected killer yeasts. Using this method, the expected L-A-2/M2 totivirus associations in natural wine yeasts cells were identified but, importantly, asymptomatic L-A-2/M2 infected cells were found in addition to unexpected L-A-lus/M2 totiviral associations. IMPORTANCE The killer phenomenon in S. cerevisiae yeast cells provides the opportunity to study host-virus interactions in a eukaryotic model. Therefore, the development of simple methods for their detection significantly facilitates their study. The simplified multiplex RT-PCR protocol described here provides a useful and accurate tool for the genotypic characterization of yeast totiviruses in killer yeast cells. The killer trait depended on two dsRNA totiviruses, L-A and M. Each M dsRNA depends on a specific helper L-A virus. Thus, direct genotyping by the described method also provided valuable insights into L-A/M viral associations and their coadaptational events in nature.