Yeast β-1,6-Glucan Is a Primary Target for the Saccharomyces cerevisiae K2 Toxin
Open accessAbstract
Certain Saccharomyces cerevisiae strains secrete different killer proteins of double-stranded-RNA origin. These proteins confer a growth advantage to their host by increasing its survival. K2 toxin affects the target cell by binding to the cell surface, disrupting the plasma membrane integrity, and inducing ion leakage. In this study, we determined that K2 toxin saturates the yeast cell surface receptors in 10 min. The apparent amount of K2 toxin, bound to a single cell of wild type yeast under saturating conditions, was estimated to be 435 to 460 molecules. It was found that an increased level of β-1,6-glucan directly correlates with the number of toxin molecules bound, thereby impacting the morphology and determining the fate of the yeast cell. We observed that the binding of K2 toxin to the yeast surface receptors proceeds in a similar manner as in case of the related K1 killer protein. It was demonstrated that the externally supplied pustulan, a poly-β-1,6-glucan, but not the glucans bearing other linkage types (such as laminarin, chitin, and pullulan) efficiently inhibits the K2 toxin killing activity. In addition, the analysis of toxin binding to the intact cells and spheroplasts confirmed that majority of K2 protein molecules attach to the β-1,6-glucan, rather than the plasma membrane-localized receptors. Taken together, our results reveal that β-1,6-glucan is a primary target of K2 toxin and is important for the execution of its killing property.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Yeast killer toxins were originally identified in S. cerevisiae and seem to mainly kill competing yeast species.
“These proteins were originally identified in S. cerevisiae and seem to mainly kill competing yeast species (Luksa et al. 2015; Schmitt and Breinig 2006).”
From Biocontrol yeasts: mechanisms and applications (2019) · cites this paper as Luksa et al. 2015
The citation lists haven’t been fetched yet
References 32 · Cited by 36
- Authors
- Lukša, J., Podoliankaitė, M., Vepštaitė, I., Strazdaitė-Žielienė, Ž., Urbonavičius, J., & Servienė, E.
- Affiliations
- Nature Research Centre (LT)
- Laboratory of Genetics, Institute of Botany, Nature Research Centre, Vilnius, Lithuania
- Vilnius University (LT)
- Venue
- Eukaryotic Cell
- Publisher
- American Society for Microbiology
- Published
- 2015-04
- Volume
- 14
- Issue
- 4
- Pages
- 406-414
- ISSN
- 1535-9778 (ISSN-L)
- 1535-9786
- PMC
- PMC4385797
- OpenAlex
- W2317087819
- Cited by
- 36
- References
- 32
- Citations by year
- 2026: 4 · 2025: 5 · 2024: 5 · 2022: 1 · 2021: 3 · 2020: 2 · 2019: 6 · 2018: 2 · 2017: 3 · 2016: 2 · 2015: 3
- FWCI
- 1.45
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- Eukaryotic Cell (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Fungal and yeast genetics research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Endocrinology › Plant and Fungal Interactions Research
- Life Sciences › Immunology and Microbiology › Immunology › Toxin Mechanisms and Immunotoxins
- Keywords
- Saccharomyces cerevisiae, β-1,6-glucan, killer toxin, pustulan, plasma membrane integrity, electrolyte leakage, spheroplasts, cell surface receptors, yeast morphology
- MeSH terms
- Cell Membrane, Cell Wall, Chitin, Glucans, Polysaccharides, Saccharomyces cerevisiae, Spheroplasts, Saccharomyces cerevisiae Proteins, beta-Glucans, Killer Factors, Yeast
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review