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Ohya Y, Ghanegolmohammadi F, Itto-Nakama K. Application of unimodal probability distribution models for morphological phenotyping of budding yeast. FEMS Yeast Res 2024; 24:foad056. [PMID: 38169030 PMCID: PMC10804223 DOI: 10.1093/femsyr/foad056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 09/28/2023] [Accepted: 12/30/2023] [Indexed: 01/05/2024] Open
Abstract
Morphological phenotyping of the budding yeast Saccharomyces cerevisiae has helped to greatly clarify the functions of genes and increase our understanding of cellular functional networks. It is necessary to understand cell morphology and perform quantitative morphological analysis (QMA) but assigning precise values to morphological phenotypes has been challenging. We recently developed the Unimodal Morphological Data image analysis pipeline for this purpose. All true values can be estimated theoretically by applying an appropriate probability distribution if the distribution of experimental values follows a unimodal pattern. This reliable pipeline allows several downstream analyses, including detection of subtle morphological differences, selection of mutant strains with similar morphology, clustering based on morphology, and study of morphological diversity. In addition to basic research, morphological analyses of yeast cells can also be used in applied research to monitor breeding and fermentation processes and control the fermentation activity of yeast cells.
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Affiliation(s)
- Yoshikazu Ohya
- Department of Integrated Biosciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba 277-8562, Japan
- Collaborative Research Institute for Innovative Microbiology, The University of Tokyo, Tokyo 113-8657, Japan
| | - Farzan Ghanegolmohammadi
- Department of Integrated Biosciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba 277-8562, Japan
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, United States
| | - Kaori Itto-Nakama
- Department of Integrated Biosciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba 277-8562, Japan
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Le Montagner P, Guilbaud M, Miot-Sertier C, Brocard L, Albertin W, Ballestra P, Dols-Lafargue M, Renouf V, Moine V, Bellon-Fontaine MN, Masneuf-Pomarède I. High intraspecific variation of the cell surface physico-chemical and bioadhesion properties in Brettanomyces bruxellensis. Food Microbiol 2023; 112:104217. [PMID: 36906300 DOI: 10.1016/j.fm.2023.104217] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Revised: 01/11/2023] [Accepted: 01/17/2023] [Indexed: 01/19/2023]
Abstract
Brettanomyces bruxellensis is the most damaging spoilage yeast in the wine industry because of its negative impact on the wine organoleptic qualities. The strain persistence in cellars over several years associated with recurrent wine contamination suggest specific properties to persist and survive in the environment through bioadhesion phenomena. In this work, the physico-chemical surface properties, morphology and ability to adhere to stainless steel were studied both on synthetic medium and on wine. More than 50 strains representative of the genetic diversity of the species were considered. Microscopy techniques made it possible to highlight a high morphological diversity of the cells with the presence of pseudohyphae forms for some genetic groups. Analysis of the physico-chemical properties of the cell surface reveals contrasting behaviors: most of the strains display a negative surface charge and hydrophilic behavior while the Beer 1 genetic group has a hydrophobic behavior. All strains showed bioadhesion abilities on stainless steel after only 3 h with differences in the concentration of bioadhered cells ranging from 2.2 × 102 cell/cm2 to 7.6 × 106 cell/cm2. Finally, our results show high variability of the bioadhesion properties, the first step in the biofilm formation, according to the genetic group with the most marked bioadhesion capacity for the beer group.
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Affiliation(s)
- Paul Le Montagner
- Univ. Bordeaux, INRAE, Bordeaux INP, Bordeaux Sciences Agro, OENO, UMR 1366, ISVV, 33140, Villenave d'Ornon, France; Laboratoire EXCELL, Floirac, France; Biolaffort, Floirac, France.
| | - Morgan Guilbaud
- Univ. Paris-Saclay, SayFood, AgroParisTech, INRAE UMR 782, 91300, Massy, France
| | - Cécile Miot-Sertier
- Univ. Bordeaux, INRAE, Bordeaux INP, Bordeaux Sciences Agro, OENO, UMR 1366, ISVV, 33140, Villenave d'Ornon, France
| | - Lysiane Brocard
- Univ. Bordeaux, Plant Imaging Platform, Bordeaux Imaging Center, UMS 3420, CNRS, 33000, Bordeaux, France
| | - Warren Albertin
- Univ. Bordeaux, INRAE, Bordeaux INP, Bordeaux Sciences Agro, OENO, UMR 1366, ISVV, 33140, Villenave d'Ornon, France; ENSCBP, Bordeaux INP, 33600, Pessac, France
| | - Patricia Ballestra
- Univ. Bordeaux, INRAE, Bordeaux INP, Bordeaux Sciences Agro, OENO, UMR 1366, ISVV, 33140, Villenave d'Ornon, France
| | - Marguerite Dols-Lafargue
- Univ. Bordeaux, INRAE, Bordeaux INP, Bordeaux Sciences Agro, OENO, UMR 1366, ISVV, 33140, Villenave d'Ornon, France; ENSCBP, Bordeaux INP, 33600, Pessac, France
| | | | | | | | - Isabelle Masneuf-Pomarède
- Univ. Bordeaux, INRAE, Bordeaux INP, Bordeaux Sciences Agro, OENO, UMR 1366, ISVV, 33140, Villenave d'Ornon, France; Bordeaux Sciences Agro, 33175, Gradignan, France
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