The DOI matches its Crossref record; 193 of the 199 references it cites were found in a registry or an index.
The Biology of Pichia membranifaciens Killer Toxins
Open accessAbstract
The killer phenomenon is defined as the ability of some yeast to secrete toxins that are lethal to other sensitive yeasts and filamentous fungi. Since the discovery of strains of Saccharomyces cerevisiae capable of secreting killer toxins, much information has been gained regarding killer toxins and this fact has substantially contributed knowledge on fundamental aspects of cell biology and yeast genetics. The killer phenomenon has been studied in Pichia membranifaciens for several years, during which two toxins have been described. PMKT and PMKT2 are proteins of low molecular mass that bind to primary receptors located in the cell wall structure of sensitive yeast cells, linear (1→6)-β-d-glucans and mannoproteins for PMKT and PMKT2, respectively. Cwp2p also acts as a secondary receptor for PMKT. Killing of sensitive cells by PMKT is characterized by ionic movements across plasma membrane and an acidification of the intracellular pH triggering an activation of the High Osmolarity Glycerol (HOG) pathway. On the contrary, our investigations showed a mechanism of killing in which cells are arrested at an early S-phase by high concentrations of PMKT2. However, we concluded that induced mortality at low PMKT2 doses and also PMKT is indeed of an apoptotic nature. Killer yeasts and their toxins have found potential applications in several fields: in food and beverage production, as biocontrol agents, in yeast bio-typing, and as novel antimycotic agents. Accordingly, several applications have been found for P. membranifaciens killer toxins, ranging from pre- and post-harvest biocontrol of plant pathogens to applications during wine fermentation and ageing (inhibition of Botrytis cinerea, Brettanomyces bruxellensis, etc.).
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Figures


![Figure 3 Mechanisms of the killing activity of PMKT2 depending on toxin dosage. (A) High concentrations of PMKT2 caused cell cycle arrest at G1/S. Flow cytometry analyses of DNA content of S. cerevisiae revealed that cells treated with high doses of PMKT2 were arrested at an early S phase with a nascent bud. (B) Asynchronously growing cells exposed to inactivated toxin remained fully viable. (C) Cells treated with low concentrations of PMKT2 lead to the typical markers of apoptosis. Figure adapted and reproduced with permission (Santos et al. 2013) [42].](/paper-figures/b3e3c90e8d14481394454ba57478a10a/the-biology-of-pichia-membranifaciens-killer-toxins-figure-3.jpg)
![Figure 4 Transcriptional response of S. cerevisiae after exposure to pro-apoptotic concentrations of PMKT. Respiratory chain of S. cerevisiae with the indication of sites where ROS are formed and the main mitochondrial enzymes involved. Numbers indicate the levels of induction of some genes coding for such representative enzymes. Figure adapted and reproduced with permission (Santos et al. 2011) [74].](/paper-figures/395c631ae4ac4c7ebf4150b7163ab214/the-biology-of-pichia-membranifaciens-killer-toxins-figure-4.jpg)
![Figure 5 Schematic representation of the most important events known to be induced in S. cerevisiae after exposure to high [↑] and low [↓] concentrations of PMKT and PMKT2. Figure adapted and reproduced with permission (Santos et al. 2011; Santos et al. 2013) [42,74].](/paper-figures/0552119bd5ff411494326e55b19345f2/the-biology-of-pichia-membranifaciens-killer-toxins-figure-5.jpg)
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“The most prominent toxins produced by many biocontrol yeast strains are proteinaceous killer toxins (Supplementary Table 1)”
From Biocontrol yeasts: mechanisms and applications (2019) · cites this paper as Belda et al. 2017
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Cell Wall Assembly in Saccharomyces cerevisiae
Lesage, G., & Bussey, H. (2006) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.00038-05 · Cited by 849
Cell Wall Architecture in Yeast: New Structure and New Challenges
Lipke, P. N., & Ovalle, R. (1998) · Journal of Bacteriology · doi:10.1128/jb.180.15.3735-3740.1998 · Cited by 701
The Transcriptional Response of Saccharomyces cerevisiae to Osmotic Shock
Rep, M., Krantz, M., Thevelein, J. M., & Hohmann, S. (2000) · Journal of Biological Chemistry · doi:10.1074/jbc.275.12.8290 · Cited by 554
Improving industrial yeast strains: exploiting natural and artificial diversity
Steensels, J., Snoek, T., Meersman, E., Nicolino, M. P., Voordeckers, K., & Verstrepen, K. J. (2014) · FEMS Microbiology Reviews · doi:10.1111/1574-6976.12073 · Cited by 513
The Yeasts, a Taxonomic Study, 5th ed
Kurtzman, C. P., Fell, J. W., & Boekhout, T. (2011) · Data Archiving and Networked Services (DANS) · Cited by 446
Biodiversity and Ecophysiology of Yeasts
Péter, G., & Rosa, C. A. (2006) · Springer eBooks · doi:10.1007/3-540-30985-3 · Cited by 424
Enjalbert, B., Smith, D. A., Cornell, M. J., Alam, I., Nicholls, S., Brown, A. J. P., & Quinn, J. (2006) · Molecular Biology of the Cell · doi:10.1091/mbc.e05-06-0501 · Cited by 381
Magliani, W., Conti, S., Gerloni, M., Bertolotti, D., & Polonelli, L. (1997) · Clinical Microbiology Reviews · doi:10.1128/cmr.10.3.369 · Cited by 322
Yeast viral killer toxins: lethality and self-protection
Schmitt, M. J., & Breinig, F. (2006) · Nature Reviews Microbiology · doi:10.1038/nrmicro1347 · Cited by 314
Alonso-Monge, R., Navarro-García, F., Román, E., Negredo, A. I., Eisman, B., Nombela, C., & Pla, J. (2003) · Eukaryotic Cell · doi:10.1128/ec.2.2.351-361.2003 · Cited by 308
Research works printed but not linked: 4
- Hansen, 1904, Grundlinien zur Systematik der Saccharomyceten, Zentralbl. Bakteriol. Parasitenk. Abt. II, 12, 529
- Deak, T., and Beuchat, L. (1996). Handbook of Food Spoilage Yeasts, Crc Series in Contemporary Food Science, CRC Press. [2nd ed.].
- Ohta, 1984, Production, purification and characterization of HYI, an antiyeast substance, produced by Hansenula saturnus, Agric. Biol. Chem., 48, 903
- Keszthelyi, 2006, Characterisation of anticryptococcal Fc-1 toxin of Filobasidium capsuligenum, Acta Biol. Szeged., 50, 155
Cited by
Sorted by citations
Biocontrol yeasts: mechanisms and applications
Freimoser, F. M., Rueda-Mejia, M. P., Tilocca, B., & Migheli, Q. (2019) · World Journal of Microbiology and Biotechnology · doi:10.1007/s11274-019-2728-4 · Cited by 462
Zhang, X., Li, B., Zhang, Z., Chen, Y., & Tian, S. (2020) · Journal of Fungi · doi:10.3390/jof6030158 · Cited by 234
Effect of Pichia on shaping the fermentation microbial community of sauce-flavor Baijiu
Zhang, H., Wang, L., Tan, Y., Wang, H., Yang, F., Chen, L., Hao, F., Lv, X., Du, H., & Xu, Y. (2020) · International Journal of Food Microbiology · doi:10.1016/j.ijfoodmicro.2020.108898 · Cited by 210
Mechanisms of Action of Microbial Biocontrol Agents against Botrytis cinerea
Roca-Couso, R., Flores‐Félix, J. D., & Rivas, R. (2021) · Journal of Fungi · doi:10.3390/jof7121045 · Cited by 202
High Potential of Pichia kluyveri and Other Pichia Species in Wine Technology
Vicente, J., Calderón, F., Santos, A., Marquina, D., & Benito, S. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22031196 · Cited by 169
Self-citation
Metadata
- Authors
- Belda, I., Ruiz, J., Alonso, A., Marquina, D., & Santos, A.
- Affiliations
- Universidad Complutense de Madrid (ES)
- Department of Microbiology, Biology Faculty, Complutense University of Madrid, 28040 Madrid, Spain
- Corresponding author
- Santos, Antonio
- Venue
- Toxins
- Publisher
- MDPI AG
- Published
- 2017-03-23
- Volume
- 9
- Issue
- 4
- Pages
- 112
- ISSN
- 2072-6651 (ISSN-L)
- PMC
- PMC5408186
- OpenAlex
- W2603690755
- Cited by
- 111
- References
- 199
- Citations by year
- 2026: 9 · 2025: 16 · 2024: 15 · 2023: 8 · 2022: 16 · 2021: 14 · 2020: 13 · 2019: 13 · 2018: 1 · 2017: 6
- FWCI
- 0.84
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Toxins (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Library Open Repository (Universidad Complutense Madrid) (submittedVersion, cc-by)
- Funders
- European Community (AIR CT93-0830)
- Universidad Complutense-Community of Madrid (PR1/03-11632, CCG07-UCM/AGR-2612, GR45/06, GR69/06, GR74/07, GR58/08, GR35/10-A)
- CDTI-MINECO-Centre for the Development of Industrial Technology (IDI-20130192, IDI-20140448, IDI-20160102)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Fungal and yeast genetics research
- Life Sciences › Immunology and Microbiology › Microbiology › Yeasts and Rust Fungi Studies
- Life Sciences › Immunology and Microbiology › Virology › Plant and Fungal Interactions Research
- Keywords
- Pichia membranifaciens, killer toxin, (1→6)-β-D-glucan, mannoproteins, plasma membrane ion transport, HOG pathway, S phase arrest, apoptosis, biological control agents, Botrytis cinerea, Brettanomyces bruxellensis, wine fermentation, antifungal agents
- MeSH terms
- Humans, Pichia, 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