Literature DB >> 30890050

Dynamic modelling of the killing mechanism of action by virus-infected yeasts.

Sean Sheppard1, Duygu Dikicioglu2.   

Abstract

Killer yeasts are microorganisms, which can produce and secrete proteinaceous toxins, a characteristic gained via infection by a virus. These toxins are able to kill sensitive cells of the same or a related species. From a biotechnological perspective, killer yeasts are beneficial due to their antifungal/antimicrobial activity, but also regarded as problematic for large-scale fermentation processes, whereby those yeasts would kill starter cultures species and lead to stuck fermentations. Here, we propose a mechanistic model of the toxin-binding kinetics pertaining to the killer population coupled with the toxin-induced death kinetics of the sensitive population to study toxic action. The dynamic model captured the transient toxic activity starting from the introduction of killer cells into the culture at the time of inoculation through to induced cell death. The kinetics of K1/K2 activity via its primary pathway of toxicity was 5.5 times faster than its activity at low concentration inducing the apoptotic pathway in sensitive cells. Conversely, we showed that the primary pathway for K28 was approximately three times slower than its equivalent apoptotic pathway, indicating the particular relevance of K28 in biotechnological applications where the toxin concentration is rarely above those limits to trigger the primary pathway of killer activity.

Entities:  

Keywords:  K1/K2; K28; apoptosis; dynamic model; killer yeast; toxin

Mesh:

Substances:

Year:  2019        PMID: 30890050      PMCID: PMC6451399          DOI: 10.1098/rsif.2019.0064

Source DB:  PubMed          Journal:  J R Soc Interface        ISSN: 1742-5662            Impact factor:   4.118


  54 in total

Review 1.  The killer double-stranded RNA plasmids of yeast.

Authors:  R B Wickner
Journal:  Plasmid       Date:  1979-07       Impact factor: 3.466

2.  A molecular target for viral killer toxin: TOK1 potassium channels.

Authors:  A Ahmed; F Sesti; N Ilan; T M Shih; S L Sturley; S A Goldstein
Journal:  Cell       Date:  1999-10-29       Impact factor: 41.582

3.  Induction of DNA damage and apoptosis in Saccharomyces cerevisiae by a yeast killer toxin.

Authors:  Roland Klassen; Friedhelm Meinhardt
Journal:  Cell Microbiol       Date:  2005-03       Impact factor: 3.715

4.  Density-dependent effects on allelopathic interactions in yeast.

Authors:  Duncan Greig; Michael Travisano
Journal:  Evolution       Date:  2007-11-03       Impact factor: 3.694

5.  Comparison of the killer toxin of several yeasts and the purification of a toxin of type K2.

Authors:  P Pfeiffer; F Radler
Journal:  Arch Microbiol       Date:  1984-04       Impact factor: 2.552

6.  Determination of killer yeast activity in fermenting grape juice by using a marked Saccharomyces wine yeast strain.

Authors:  J E Petering; M R Symons; P Langridge; P A Henschke
Journal:  Appl Environ Microbiol       Date:  1991-11       Impact factor: 4.792

Review 7.  Caspase-dependent apoptosis in yeast.

Authors:  Cristina Mazzoni; Claudio Falcone
Journal:  Biochim Biophys Acta       Date:  2008-02-29

8.  Translational analysis of the killer-associated virus-like particle dsRNA genome of S. cerevisiae: M dsRNA encodes toxin.

Authors:  K A Bostian; J E Hopper; D T Rogers; D J Tipper
Journal:  Cell       Date:  1980-02       Impact factor: 41.582

Review 9.  Cell wall-related bionumbers and bioestimates of Saccharomyces cerevisiae and Candida albicans.

Authors:  Frans M Klis; Chris G de Koster; Stanley Brul
Journal:  Eukaryot Cell       Date:  2013-11-15

10.  BioModels: ten-year anniversary.

Authors:  Vijayalakshmi Chelliah; Nick Juty; Ishan Ajmera; Raza Ali; Marine Dumousseau; Mihai Glont; Michael Hucka; Gaël Jalowicki; Sarah Keating; Vincent Knight-Schrijver; Audald Lloret-Villas; Kedar Nath Natarajan; Jean-Baptiste Pettit; Nicolas Rodriguez; Michael Schubert; Sarala M Wimalaratne; Yangyang Zhao; Henning Hermjakob; Nicolas Le Novère; Camille Laibe
Journal:  Nucleic Acids Res       Date:  2014-11-20       Impact factor: 16.971

View more
  1 in total

Review 1.  Computational strategies to combat COVID-19: useful tools to accelerate SARS-CoV-2 and coronavirus research.

Authors:  Franziska Hufsky; Kevin Lamkiewicz; Alexandre Almeida; Abdel Aouacheria; Cecilia Arighi; Alex Bateman; Jan Baumbach; Niko Beerenwinkel; Christian Brandt; Marco Cacciabue; Sara Chuguransky; Oliver Drechsel; Robert D Finn; Adrian Fritz; Stephan Fuchs; Georges Hattab; Anne-Christin Hauschild; Dominik Heider; Marie Hoffmann; Martin Hölzer; Stefan Hoops; Lars Kaderali; Ioanna Kalvari; Max von Kleist; Renó Kmiecinski; Denise Kühnert; Gorka Lasso; Pieter Libin; Markus List; Hannah F Löchel; Maria J Martin; Roman Martin; Julian Matschinske; Alice C McHardy; Pedro Mendes; Jaina Mistry; Vincent Navratil; Eric P Nawrocki; Áine Niamh O'Toole; Nancy Ontiveros-Palacios; Anton I Petrov; Guillermo Rangel-Pineros; Nicole Redaschi; Susanne Reimering; Knut Reinert; Alejandro Reyes; Lorna Richardson; David L Robertson; Sepideh Sadegh; Joshua B Singer; Kristof Theys; Chris Upton; Marius Welzel; Lowri Williams; Manja Marz
Journal:  Brief Bioinform       Date:  2021-03-22       Impact factor: 11.622

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.