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      Non-Conventional Yeast Strains Increase the Aroma Complexity of Bread

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          Abstract

          Saccharomyces cerevisiae is routinely used yeast in food fermentations because it combines several key traits, including fermentation efficiency and production of desirable flavors. However, the dominance of S. cerevisiae in industrial fermentations limits the diversity in the aroma profiles of the end products. Hence, there is a growing interest in non-conventional yeast strains that can help generate the diversity and complexity desired in today’s diversified and consumer-driven markets. Here, we selected a set of non-conventional yeast strains to examine their potential for bread fermentation. Here, we tested ten non-conventional yeasts for bread fermentation, including two Saccharomyces species that are not currently used in bread making and 8 non- Saccharomyces strains. The results show that Torulaspora delbrueckii and Saccharomyces bayanus combine satisfactory dough fermentation with an interesting flavor profile. Sensory analysis and HS-SPME-GC-MS analysis confirmed that these strains produce aroma profiles that are very different from that produced by a commercial bakery strain. Moreover, bread produced with these yeasts was preferred by a majority of a trained sensory panel. These results demonstrate the potential of T. delbrueckii and S. bayanus as alternative yeasts for bread dough leavening, and provide a general experimental framework for the evaluation of more yeasts and bacteria.

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          How did Saccharomyces evolve to become a good brewer?

          Brewing and wine production are among the oldest technologies and their products are almost indispensable in our lives. The central biological agents of beer and wine fermentation are yeasts belonging to the genus Saccharomyces, which can accumulate ethanol. Recent advances in comparative genomics and bioinformatics have made it possible to elucidate when and why yeasts produce ethanol in high concentrations, and how this remarkable trait originated and developed during their evolutionary history. Two research groups have shed light on the origin of the genes encoding alcohol dehydrogenase and the process of ethanol accumulation in Saccharomyces cerevisiae.
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            Bread, beer and wine: Saccharomyces cerevisiae diversity reflects human history.

            Fermented beverages and foods have played a significant role in most societies worldwide for millennia. To better understand how the yeast species Saccharomyces cerevisiae, the main fermenting agent, evolved along this historical and expansion process, we analysed the genetic diversity among 651 strains from 56 different geographical origins, worldwide. Their genotyping at 12 microsatellite loci revealed 575 distinct genotypes organized in subgroups of yeast types, i.e. bread, beer, wine, sake. Some of these groups presented unexpected relatedness: Bread strains displayed a combination of alleles intermediate between beer and wine strains, and strains used for rice wine and sake were most closely related to beer and bread strains. However, up to 28% of genetic diversity between these technological groups was associated with geographical differences which suggests local domestications. Focusing on wine yeasts, a group of Lebanese strains were basal in an F(ST) tree, suggesting a Mesopotamia-based origin of most wine strains. In Europe, migration of wine strains occurred through the Danube Valley, and around the Mediterranean Sea. An approximate Bayesian computation approach suggested a postglacial divergence (most probable period 10,000-12,000 bp). As our results suggest intimate association between man and wine yeast across centuries, we hypothesize that yeast followed man and vine migrations as a commensal member of grapevine flora.
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              Improving industrial yeast strains: exploiting natural and artificial diversity

              Yeasts have been used for thousands of years to make fermented foods and beverages, such as beer, wine, sake, and bread. However, the choice for a particular yeast strain or species for a specific industrial application is often based on historical, rather than scientific grounds. Moreover, new biotechnological yeast applications, such as the production of second-generation biofuels, confront yeast with environments and challenges that differ from those encountered in traditional food fermentations. Together, this implies that there are interesting opportunities to isolate or generate yeast variants that perform better than the currently used strains. Here, we discuss the different strategies of strain selection and improvement available for both conventional and nonconventional yeasts. Exploiting the existing natural diversity and using techniques such as mutagenesis, protoplast fusion, breeding, genome shuffling and directed evolution to generate artificial diversity, or the use of genetic modification strategies to alter traits in a more targeted way, have led to the selection of superior industrial yeasts. Furthermore, recent technological advances allowed the development of high-throughput techniques, such as ‘global transcription machinery engineering’ (gTME), to induce genetic variation, providing a new source of yeast genetic diversity.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                24 October 2016
                2016
                : 11
                : 10
                : e0165126
                Affiliations
                [1 ]Systems Biology Laboratory, VIB Center for Microbiology, Leuven, Belgium
                [2 ]CMPG Laboratory of Genetics and Genomics, KU Leuven, Leuven, Belgium
                [3 ]Laboratory of Food Chemistry and Biochemistry & Leuven Food Science and Nutrition Research Centre (LFoRCe), KU Leuven, Leuven, Belgium
                University of Leicester, UNITED KINGDOM
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                • Conceptualization: KV CC EA BHM.

                • Data curation: EA BHM.

                • Formal analysis: EA BHM.

                • Funding acquisition: KV CC.

                • Investigation: EA BHM JS MNR.

                • Methodology: EA BHM.

                • Project administration: KV CC.

                • Resources: KV CC.

                • Software: EA BHM.

                • Supervision: KV CC.

                • Validation: JS MNR EA BHM.

                • Visualization: EA BHM JS MNR.

                • Writing – original draft: EA BHM.

                • Writing – review & editing: KV CC JS MNR EA BHM.

                Author information
                http://orcid.org/0000-0002-7147-5084
                Article
                PONE-D-16-24072
                10.1371/journal.pone.0165126
                5077118
                27776154
                cbbe2f83-44a6-41a1-aedf-22514f28c7fd
                © 2016 Aslankoohi et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 15 June 2016
                : 6 October 2016
                Page count
                Figures: 3, Tables: 3, Pages: 18
                Funding
                Funded by: ERC Starting Grant
                Award ID: 241426
                Award Recipient :
                Funded by: FWO
                Award ID: G.0544.10N
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100004040, KU Leuven;
                Award ID: IDO/12/011
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100004412, Human Frontier Science Program;
                Award ID: RGP0050/2013
                Award Recipient :
                This study is supported by a research grant from the KU Leuven (Research Fund, IDO program (IDO/12/011)), ERC Starting Grant (N° 241426), FWO (N° G.0544.10N) and Human Frontier Science Program (RGP0050/2013). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Nutrition
                Diet
                Food
                Bread
                Medicine and Health Sciences
                Nutrition
                Diet
                Food
                Bread
                Biology and Life Sciences
                Organisms
                Fungi
                Yeast
                Saccharomyces
                Saccharomyces Cerevisiae
                Research and Analysis Methods
                Model Organisms
                Yeast and Fungal Models
                Saccharomyces Cerevisiae
                Biology and Life Sciences
                Biochemistry
                Metabolism
                Metabolic Processes
                Fermentation
                Biology and Life Sciences
                Organisms
                Fungi
                Yeast
                Research and Analysis Methods
                Chromatographic Techniques
                Gas Chromatography-Mass Spectrometry
                Physical Sciences
                Chemistry
                Analytical Chemistry
                Mass Spectrometry
                Gas Chromatography-Mass Spectrometry
                Research and Analysis Methods
                Spectrum Analysis Techniques
                Mass Spectrometry
                Gas Chromatography-Mass Spectrometry
                Biology and Life Sciences
                Biochemistry
                Neurochemistry
                Neurotransmitters
                Biogenic Amines
                Biology and Life Sciences
                Neuroscience
                Neurochemistry
                Neurotransmitters
                Biogenic Amines
                Biology and Life Sciences
                Agriculture
                Crop Science
                Crops
                Fruits
                Biology and Life Sciences
                Organisms
                Plants
                Fruits
                Biology and Life Sciences
                Organisms
                Fungi
                Yeast
                Saccharomyces
                Custom metadata
                All relevant data are within the paper and DNA sequences of representative isolates of the different species have been deposited in GenBank (accession numbers KX021887 to KX021902).

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