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Li R, Deed RC. Reciprocal hemizygosity analysis reveals that the Saccharomyces cerevisiae CGI121 gene affects lag time duration in synthetic grape must. G3-GENES GENOMES GENETICS 2021; 11:6157830. [PMID: 33681985 PMCID: PMC8759811 DOI: 10.1093/g3journal/jkab061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Accepted: 02/23/2021] [Indexed: 11/19/2022]
Abstract
It is standard practice to ferment white wines at low temperatures (10–18°C). However, low temperatures increase fermentation duration and risk of problem ferments, leading to significant costs. The lag duration at fermentation initiation is heavily impacted by temperature; therefore, identification of Saccharomyces cerevisiae genes influencing fermentation kinetics is of interest for winemaking. We selected 28 S. cerevisiae BY4743 single deletants, from a prior list of open reading frames (ORFs) mapped to quantitative trait loci (QTLs) on Chr. VII and XIII, influencing the duration of fermentative lag time. Five BY4743 deletants, Δapt1, Δcgi121, Δclb6, Δrps17a, and Δvma21, differed significantly in their fermentative lag duration compared to BY4743 in synthetic grape must (SGM) at 15 °C, over 72 h. Fermentation at 12.5°C for 528 h confirmed the longer lag times of BY4743 Δcgi121, Δrps17a, and Δvma21. These three candidates ORFs were deleted in S. cerevisiae RM11-1a and S288C to perform single reciprocal hemizygosity analysis (RHA). RHA hybrids and single deletants of RM11-1a and S288C were fermented at 12.5°C in SGM and lag time measurements confirmed that the S288C allele of CGI121 on Chr. XIII, encoding a component of the EKC/KEOPS complex, increased fermentative lag phase duration. Nucleotide sequences of RM11-1a and S288C CGI121 alleles differed by only one synonymous nucleotide, suggesting that intron splicing, codon bias, or positional effects might be responsible for the impact on lag phase duration. This research demonstrates a new role of CGI121 and highlights the applicability of QTL analysis for investigating complex phenotypic traits in yeast.
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Affiliation(s)
- Runze Li
- School of Chemical Sciences and School of Biological Sciences, University of Auckland, Auckland 1142, New Zealand
| | - Rebecca C Deed
- School of Chemical Sciences and School of Biological Sciences, University of Auckland, Auckland 1142, New Zealand
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Next Generation Winemakers: Genetic Engineering in Saccharomyces cerevisiae for Trendy Challenges. Bioengineering (Basel) 2020; 7:bioengineering7040128. [PMID: 33066502 PMCID: PMC7712467 DOI: 10.3390/bioengineering7040128] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Revised: 10/08/2020] [Accepted: 10/13/2020] [Indexed: 02/06/2023] Open
Abstract
The most famous yeast of all, Saccharomyces cerevisiae, has been used by humankind for at least 8000 years, to produce bread, beer and wine, even without knowing about its existence. Only in the last century we have been fully aware of the amazing power of this yeast not only for ancient uses but also for biotechnology purposes. In the last decades, wine culture has become and more demanding all over the world. By applying as powerful a biotechnological tool as genetic engineering in S. cerevisiae, new horizons appear to develop fresh, improved, or modified wine characteristics, properties, flavors, fragrances or production processes, to fulfill an increasingly sophisticated market that moves around 31.4 billion € per year.
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Lifestyle, Lineage, and Geographical Origin Influence Temperature-Dependent Phenotypic Variation across Yeast Strains during Wine Fermentation. Microorganisms 2020; 8:microorganisms8091367. [PMID: 32906626 PMCID: PMC7565122 DOI: 10.3390/microorganisms8091367] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Revised: 09/04/2020] [Accepted: 09/05/2020] [Indexed: 12/17/2022] Open
Abstract
Saccharomyces cerevisiae yeasts are a diverse group of single-celled eukaryotes with tremendous phenotypic variation in fermentation efficiency, particularly at different temperatures. Yeast can be categorized into subsets based on lifestyle (Clinical, Fermentation, Laboratory, and Wild), genetic lineage (Malaysian, Mosaic, North American, Sake, West African, and Wine), and geographical origin (Africa, Americas, Asia, Europe, and Oceania) to start to understand their ecology; however, little is known regarding the extent to which these groupings drive S. cerevisiae fermentative ability in grape juice at different fermentation temperatures. To investigate the response of yeast within the different subsets, we quantified fermentation performance in grape juice by measuring the lag time, maximal fermentation rate (Vmax), and fermentation finishing efficiency of 34 genetically diverse S. cerevisiae strains in grape juice at five environmentally and industrially relevant temperatures (10, 15, 20, 25, and 30 °C). Extensive multivariate analysis was applied to determine the effects of lifestyle, lineage, geographical origin, strain, and temperature on yeast fermentation phenotypes. We show that fermentation capability is inherent to S. cerevisiae and that all factors are important in shaping strain fermentative ability, with temperature having the greatest impact, and geographical origin playing a lesser role than lifestyle or genetic lineage.
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Deed RC, Pilkington LI, Herbst-Johnstone M, Miskelly GM, Barker D, Fedrizzi B. A new analytical method to measure S-methyl-l-methionine in grape juice reveals the influence of yeast on dimethyl sulfide production during fermentation. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2019; 99:6944-6953. [PMID: 31414495 DOI: 10.1002/jsfa.9983] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/03/2019] [Revised: 08/05/2019] [Accepted: 08/12/2019] [Indexed: 06/10/2023]
Abstract
BACKGROUND Dimethyl sulfide (DMS) is a small sulfur-containing impact odorant, imparting distinctive positive and / or negative characters to food and beverages. In white wine, the presence of DMS at perception threshold is considered to be a fault, contributing strong odors reminiscent of asparagus, cooked cabbage, and creamed corn. The source of DMS in wine has long been associated with S-methyl-l-methionine (SMM), a derivative of the amino acid methionine, which is thought to break down into DMS through chemical degradation, particularly during wine ageing. RESULTS We developed and validated a new liquid chromatography-tandem mass spectrometry (LC-MS/MS) method with a stable isotope dilution assay (SIDA) to measure SMM in grape juice and wine. The application of this new method for quantitating SMM, followed by the quantitation of DMS using headspace-solid phase micro-extraction coupled with gas chromatography-mass spectrometry (HS-SPME/GC-MS), confirmed that DMS can be produced in wine via the chemical breakdown of SMM to DMS, with greater degradation observed at 28 °C than at 14 °C. Further investigation into the role of grape juice and yeast strain on DMS formation revealed that the DMS produced from three different Sauvignon blanc grape juices, either from the SMM naturally present or SMM spiked at 50 mmol L-1 , was modulated depending on each of the four strains of Saccharomyces cerevisiae wine yeast used for fermentation. CONCLUSION This study confirms the existence of a chemical pathway to the formation of DMS and reveals a yeast-mediated mechanism towards the formation of DMS from SMM during alcoholic fermentation. © 2019 Society of Chemical Industry.
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Affiliation(s)
- Rebecca C Deed
- School of Chemical Sciences, University of Auckland, Auckland, New Zealand
- School of Biological Sciences, University of Auckland, Auckland, New Zealand
| | - Lisa I Pilkington
- School of Chemical Sciences, University of Auckland, Auckland, New Zealand
| | | | - Gordon M Miskelly
- School of Chemical Sciences, University of Auckland, Auckland, New Zealand
| | - David Barker
- School of Chemical Sciences, University of Auckland, Auckland, New Zealand
| | - Bruno Fedrizzi
- School of Chemical Sciences, University of Auckland, Auckland, New Zealand
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Di Gianvito P, Perpetuini G, Tittarelli F, Schirone M, Arfelli G, Piva A, Patrignani F, Lanciotti R, Olivastri L, Suzzi G, Tofalo R. Impact of Saccharomyces cerevisiae strains on traditional sparkling wines production. Food Res Int 2018; 109:552-560. [DOI: 10.1016/j.foodres.2018.04.070] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2018] [Revised: 04/16/2018] [Accepted: 04/30/2018] [Indexed: 10/17/2022]
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Zhang K, Di YN, Qi L, Sui Y, Wang TY, Fan L, Lv ZM, Wu XC, Wang PM, Zheng DQ. Genetic characterization and modification of a bioethanol-producing yeast strain. Appl Microbiol Biotechnol 2018; 102:2213-2223. [PMID: 29333587 DOI: 10.1007/s00253-017-8727-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2017] [Revised: 12/16/2017] [Accepted: 12/18/2017] [Indexed: 10/18/2022]
Abstract
Yeast Saccharomyces cerevisiae strains isolated from different sources generally show extensive genetic and phenotypic diversity. Understanding how genomic variations influence phenotypes is important for developing strategies with improved economic traits. The diploid S. cerevisiae strain NY1308 is used for cellulosic bioethanol production. Whole genome sequencing identified an extensive amount of single nucleotide variations and small insertions/deletions in the genome of NY1308 compared with the S288c genome. Gene annotation of the assembled NY1308 genome showed that 43 unique genes are absent in the S288c genome. Phylogenetic analysis suggested most of the unique genes were obtained through horizontal gene transfer from other species. RNA-Seq revealed that some unique genes were not functional in NY1308 due to unidentified intron sequences. During bioethanol fermentation, NY1308 tends to flocculate when certain inhibitors (derived from the pretreatment of cellulosic feedstock) are present in the fermentation medium. qRT-PCR and genetic manipulation confirmed that the novel gene, NYn43, contributed to the flocculation ability of NY1308. Deletion of NYn43 resulted in a faster fermentation rate for NY1308. This work disclosed the genetic characterization of a bioethanol-producing S. cerevisiae strain and provided a useful paradigm showing how the genetic diversity of the yeast population would facilitate the personalized development of desirable traits.
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Affiliation(s)
- Ke Zhang
- Institute of Microbiology, College of Life Sciences, Zhejiang University, Hangzhou, Zhejiang Province, 310058, China
| | - Ya-Nan Di
- Ocean College, Zhejiang University, Zhoushan, Zhejiang Province, 316021, China
| | - Lei Qi
- Ocean College, Zhejiang University, Zhoushan, Zhejiang Province, 316021, China
| | - Yang Sui
- Ocean College, Zhejiang University, Zhoushan, Zhejiang Province, 316021, China
| | - Ting-Yu Wang
- Ocean College, Zhejiang University, Zhoushan, Zhejiang Province, 316021, China
| | - Li Fan
- Ocean College, Zhejiang University, Zhoushan, Zhejiang Province, 316021, China
| | - Zhen-Mei Lv
- Institute of Microbiology, College of Life Sciences, Zhejiang University, Hangzhou, Zhejiang Province, 310058, China
| | - Xue-Chang Wu
- Institute of Microbiology, College of Life Sciences, Zhejiang University, Hangzhou, Zhejiang Province, 310058, China
| | - Pin-Mei Wang
- Ocean College, Zhejiang University, Zhoushan, Zhejiang Province, 316021, China
| | - Dao-Qiong Zheng
- Ocean College, Zhejiang University, Zhoushan, Zhejiang Province, 316021, China.
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Hope EA, Amorosi CJ, Miller AW, Dang K, Heil CS, Dunham MJ. Experimental Evolution Reveals Favored Adaptive Routes to Cell Aggregation in Yeast. Genetics 2017; 206:1153-1167. [PMID: 28450459 PMCID: PMC5499169 DOI: 10.1534/genetics.116.198895] [Citation(s) in RCA: 52] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2016] [Accepted: 04/06/2017] [Indexed: 02/02/2023] Open
Abstract
Yeast flocculation is a community-building cell aggregation trait that is an important mechanism of stress resistance and a useful phenotype for brewers; however, it is also a nuisance in many industrial processes, in clinical settings, and in the laboratory. Chemostat-based evolution experiments are impaired by inadvertent selection for aggregation, which we observe in 35% of populations. These populations provide a testing ground for understanding the breadth of genetic mechanisms Saccharomyces cerevisiae uses to flocculate, and which of those mechanisms provide the biggest adaptive advantages. In this study, we employed experimental evolution as a tool to ask whether one or many routes to flocculation are favored, and to engineer a strain with reduced flocculation potential. Using a combination of whole genome sequencing and bulk segregant analysis, we identified causal mutations in 23 independent clones that had evolved cell aggregation during hundreds of generations of chemostat growth. In 12 of those clones, we identified a transposable element insertion in the promoter region of known flocculation gene FLO1, and, in an additional five clones, we recovered loss-of-function mutations in transcriptional repressor TUP1, which regulates FLO1 and other related genes. Other causal mutations were found in genes that have not been previously connected to flocculation. Evolving a flo1 deletion strain revealed that this single deletion reduces flocculation occurrences to 3%, and demonstrated the efficacy of using experimental evolution as a tool to identify and eliminate the primary adaptive routes for undesirable traits.
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Affiliation(s)
- Elyse A Hope
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, Washington 98195
| | - Clara J Amorosi
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, Washington 98195
| | - Aaron W Miller
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, Washington 98195
| | - Kolena Dang
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, Washington 98195
| | - Caiti Smukowski Heil
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, Washington 98195
| | - Maitreya J Dunham
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, Washington 98195
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