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Liu L, Zhao PT, Hu CY, Tian D, Deng H, Meng YH. Screening low-methanol and high-aroma produced yeasts for cider fermentation by transcriptive characterization. Front Microbiol 2022; 13:1042613. [PMID: 36439849 PMCID: PMC9691974 DOI: 10.3389/fmicb.2022.1042613] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Accepted: 10/27/2022] [Indexed: 11/12/2022] Open
Abstract
The commercial active dry yeast strains used for cider production in China are far behind the requirements of the cider industry development in recent decades. In this study, eight yeasts, including Saccharomyces cerevisiae, Schizosaccharomyces pombe, Pichia bruneiensis, and Pichia kudriavzevii, were screened and assessed by growth performance, methanol production, aroma analysis, and their transcriptive characterization. Saccharomyces cerevisiae strains WFC-SC-071 and WFC-SC-072 were identified as promising alternatives for cider production. Strains WFC-SC-071 and WFC-SC-072 showed an excellent growth capacity characterized by 91.6 and 88.8% sugar utilization, respectively. Methanol production by both strains was below 200 mg/L. Key aroma compounds imparting cider appreciably characteristic aroma increased in cider fermented by strains WFC-SC-071 and WFC-SC-072. RT-qPCR analysis suggested that most genes associated with growth capacity, carbohydrate uptake, and aroma production were upregulated in WFC-SC-071 and WFC-SC-072. Overall, two Saccharomyces cerevisiae strains are the optimal starters for cider production to enable the diversification of cider, satisfy the differences in consumer demand, and promote cider industry development.
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Affiliation(s)
- Liang Liu
- The Engineering Research Center for High-Valued Utilization of Fruit Resources in Western China, Ministry of Education, National Research and Development Center of Apple Processing Technology, College of Food Engineering and Nutritional Science, Shaanxi Normal University, Xian, China
| | - Peng Tao Zhao
- The Engineering Research Center for High-Valued Utilization of Fruit Resources in Western China, Ministry of Education, National Research and Development Center of Apple Processing Technology, College of Food Engineering and Nutritional Science, Shaanxi Normal University, Xian, China
| | - Ching Yuan Hu
- The Engineering Research Center for High-Valued Utilization of Fruit Resources in Western China, Ministry of Education, National Research and Development Center of Apple Processing Technology, College of Food Engineering and Nutritional Science, Shaanxi Normal University, Xian, China
- Department of Human Nutrition, Food and Animal Sciences, College of Tropical Agriculture and Human Resources, Honolulu, HI, United States
| | - Dan Tian
- The Engineering Research Center for High-Valued Utilization of Fruit Resources in Western China, Ministry of Education, National Research and Development Center of Apple Processing Technology, College of Food Engineering and Nutritional Science, Shaanxi Normal University, Xian, China
| | - Hong Deng
- The Engineering Research Center for High-Valued Utilization of Fruit Resources in Western China, Ministry of Education, National Research and Development Center of Apple Processing Technology, College of Food Engineering and Nutritional Science, Shaanxi Normal University, Xian, China
- *Correspondence: Hong Deng,
| | - Yong Hong Meng
- The Engineering Research Center for High-Valued Utilization of Fruit Resources in Western China, Ministry of Education, National Research and Development Center of Apple Processing Technology, College of Food Engineering and Nutritional Science, Shaanxi Normal University, Xian, China
- Yong Hong Meng,
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Varela C, Borneman AR. Molecular approaches improving our understanding of Brettanomyces physiology. FEMS Yeast Res 2022; 22:6585649. [PMID: 35561744 DOI: 10.1093/femsyr/foac028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Revised: 04/20/2022] [Accepted: 05/10/2022] [Indexed: 11/13/2022] Open
Abstract
Brettanomyces species and particularly B. bruxellensis as the most studied representative, are strongly linked to industrial fermentation processes. This association is considered either positive or undesirable depending on the industry. While in some brewing applications and in kombucha production Brettanomyces yeasts contribute to the flavour and aroma profile of these beverages, in winemaking and bioethanol production Brettanomyces is considered a spoilage or contaminant microorganism. Nevertheless, understanding Brettanomyces biology and metabolism in detail will benefit all industries. This review discusses recent molecular biology tools including genomics, transcriptomics and genetic engineering techniques that can improve our understanding of Brettanomyces physiology and how these approaches can be used to make the industrial potential of this species a reality.
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Affiliation(s)
- Cristian Varela
- The Australian Wine Research Institute, PO Box 197, Glen Osmond, Adelaide, SA 5064, Australia.,School of Agriculture, Food & Wine, Faculty of Sciences, University of Adelaide, Adelaide, SA, 5005, Australia
| | - Anthony R Borneman
- The Australian Wine Research Institute, PO Box 197, Glen Osmond, Adelaide, SA 5064, Australia.,School of Agriculture, Food & Wine, Faculty of Sciences, University of Adelaide, Adelaide, SA, 5005, Australia
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Intelligent host engineering for metabolic flux optimisation in biotechnology. Biochem J 2021; 478:3685-3721. [PMID: 34673920 PMCID: PMC8589332 DOI: 10.1042/bcj20210535] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2021] [Revised: 09/22/2021] [Accepted: 09/24/2021] [Indexed: 12/13/2022]
Abstract
Optimising the function of a protein of length N amino acids by directed evolution involves navigating a 'search space' of possible sequences of some 20N. Optimising the expression levels of P proteins that materially affect host performance, each of which might also take 20 (logarithmically spaced) values, implies a similar search space of 20P. In this combinatorial sense, then, the problems of directed protein evolution and of host engineering are broadly equivalent. In practice, however, they have different means for avoiding the inevitable difficulties of implementation. The spare capacity exhibited in metabolic networks implies that host engineering may admit substantial increases in flux to targets of interest. Thus, we rehearse the relevant issues for those wishing to understand and exploit those modern genome-wide host engineering tools and thinking that have been designed and developed to optimise fluxes towards desirable products in biotechnological processes, with a focus on microbial systems. The aim throughput is 'making such biology predictable'. Strategies have been aimed at both transcription and translation, especially for regulatory processes that can affect multiple targets. However, because there is a limit on how much protein a cell can produce, increasing kcat in selected targets may be a better strategy than increasing protein expression levels for optimal host engineering.
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