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Villarreal P, O'Donnell S, Agier N, Muñoz-Guzman F, Benavides-Parra J, Urbina K, Peña TA, Solomon M, Nespolo RF, Fischer G, Varela C, Cubillos FA. Domestication signatures in the non-conventional yeast Lachancea cidri. mSystems 2024; 9:e0105823. [PMID: 38085042 PMCID: PMC10805023 DOI: 10.1128/msystems.01058-23] [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: 10/03/2023] [Accepted: 11/06/2023] [Indexed: 01/24/2024] Open
Abstract
Evaluating domestication signatures beyond model organisms is essential for a thorough understanding of the genotype-phenotype relationship in wild and human-related environments. Structural variations (SVs) can significantly impact phenotypes playing an important role in the physiological adaptation of species to different niches, including during domestication. A detailed characterization of the fitness consequences of these genomic rearrangements, however, is still limited in non-model systems, largely due to the paucity of direct comparisons between domesticated and wild isolates. Here, we used a combination of sequencing strategies to explore major genomic rearrangements in a Lachancea cidri yeast strain isolated from cider (CBS2950) and compared them to those in eight wild isolates from primary forests. Genomic analysis revealed dozens of SVs, including a large reciprocal translocation (~16 kb and 500 kb) present in the cider strain, but absent from all wild strains. Interestingly, the number of SVs was higher relative to single-nucleotide polymorphisms in the cider strain, suggesting a significant role in the strain's phenotypic variation. The set of SVs identified directly impacts dozens of genes and likely underpins the greater fermentation performance in the L. cidri CBS2950. In addition, the large reciprocal translocation affects a proline permease (PUT4) regulatory region, resulting in higher PUT4 transcript levels, which agrees with higher ethanol tolerance, improved cell growth when using proline, and higher amino acid consumption during fermentation. These results suggest that SVs are responsible for the rapid physiological adaptation of yeast to a human-related environment and demonstrate the key contribution of SVs in adaptive fermentative traits in non-model species.IMPORTANCEThe exploration of domestication signatures associated with human-related environments has predominantly focused on studies conducted on model organisms, such as Saccharomyces cerevisiae, overlooking the potential for comparisons across other non-Saccharomyces species. In our research, employing a combination of long- and short-read data, we found domestication signatures in Lachancea cidri, a non-model species recently isolated from fermentative environments in cider in France. The significance of our study lies in the identification of large array of major genomic rearrangements in a cider strain compared to wild isolates, which underly several fermentative traits. These domestication signatures result from structural variants, which are likely responsible for the phenotypic differences between strains, providing a rapid path of adaptation to human-related environments.
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Affiliation(s)
- Pablo Villarreal
- Departamento de Biología, Facultad de Química y Biología, Universidad de Santiago de Chile, Santiago, Chile
- Millennium Institute for Integrative Biology (iBio), Santiago, Chile
| | - Samuel O'Donnell
- Laboratory of Computational and Quantitative Biology, CNRS, Institut de Biologie Paris-Seine, Sorbonne Université, Paris, France
| | - Nicolas Agier
- Laboratory of Computational and Quantitative Biology, CNRS, Institut de Biologie Paris-Seine, Sorbonne Université, Paris, France
| | - Felipe Muñoz-Guzman
- Departamento de Biología, Facultad de Química y Biología, Universidad de Santiago de Chile, Santiago, Chile
- Millennium Institute for Integrative Biology (iBio), Santiago, Chile
| | - Jose Benavides-Parra
- Departamento de Biología, Facultad de Química y Biología, Universidad de Santiago de Chile, Santiago, Chile
| | - Kami Urbina
- Departamento de Biología, Facultad de Química y Biología, Universidad de Santiago de Chile, Santiago, Chile
- Millennium Institute for Integrative Biology (iBio), Santiago, Chile
- Millenium Nucleus of Patagonian Limit of Life (LiLi), Santiago, Chile
| | - Tomas A. Peña
- Departamento de Biología, Facultad de Química y Biología, Universidad de Santiago de Chile, Santiago, Chile
- Millennium Institute for Integrative Biology (iBio), Santiago, Chile
| | - Mark Solomon
- The Australian Wine Research Institute, Glen Osmond, Adelaide, SA, Australia
| | - Roberto F. Nespolo
- Millennium Institute for Integrative Biology (iBio), Santiago, Chile
- Millenium Nucleus of Patagonian Limit of Life (LiLi), Santiago, Chile
- Instituto de Ciencias Ambientales y Evolutivas, Universidad Austral de Chile, Valdivia, Chile
- Center of Applied Ecology and Sustainability (CAPES), Facultad de Ciencias Biológicas, Universidad Católica de Chile, Santiago, Chile
| | - Gilles Fischer
- Laboratory of Computational and Quantitative Biology, CNRS, Institut de Biologie Paris-Seine, Sorbonne Université, Paris, France
| | - Cristian Varela
- The Australian Wine Research Institute, Glen Osmond, Adelaide, SA, Australia
- School of Agriculture, Food and Wine, University of Adelaide, Glen Osmond, Adelaide, SA, Australia
| | - Francisco A. Cubillos
- Departamento de Biología, Facultad de Química y Biología, Universidad de Santiago de Chile, Santiago, Chile
- Millennium Institute for Integrative Biology (iBio), Santiago, Chile
- Millenium Nucleus of Patagonian Limit of Life (LiLi), Santiago, Chile
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Wang M, Wu F, Gu Z. Flow cytometric resolution of yeast is affected by enzymatic treatment and culture media. FEBS Open Bio 2022; 12:1623-1633. [PMID: 35712810 PMCID: PMC9433820 DOI: 10.1002/2211-5463.13456] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2021] [Revised: 05/13/2022] [Accepted: 06/15/2022] [Indexed: 11/30/2022] Open
Abstract
Saccharomyces cerevisiae is an important model organism and a typical fungal representative for studies of eukaryotes. The cell cycle of yeast can be analyzed by flow cytometry, and refining the cytometric resolution of the cell cycle with this technique is important. Such refinement is potentially influenced by multiple factors, including enzymatic treatment and variations in the culture media used, although this has been subject to only limited investigation. Here, we examined the effect of different enzymatic pre‐treatments and various media on cytometric resolution. We show that cytometric resolution is significantly altered by both enzymatic conditions and the media used. Culture media with different amino nitrogen concentrations potentially impact the protein content in the yeast cell wall, which may affect the permeability of the cell wall and alter cytometric resolution. The present study provides beneficial technical information about the influence of media and enzymes on the cytometric resolution of the yeast cell cycle and most likely other fungi, which should be considered in future research.
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Affiliation(s)
- Mei Wang
- Department of Geriatrics, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, 100 Haining Road, Shanghai, People's Republic of China, 200080
| | - Feizhen Wu
- Laboratory of Epigenetics, Institutes of Biomedical Sciences, Fudan University, 131 Dong'an Road, Shanghai, People's Republic of China, 200032.,Key Laboratory of Birth Defects, Children's Hospital of Fudan University, 399 Wanyuan Road, Minhang District, Shanghai, People's Republic of China, 201102
| | - Zhongkai Gu
- Laboratory of Epigenetics, Institutes of Biomedical Sciences, Fudan University, 131 Dong'an Road, Shanghai, People's Republic of China, 200032
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Genome-wide effect of non-optimal temperatures under anaerobic conditions on gene expression in Saccharomyces cerevisiae. Genomics 2022; 114:110386. [PMID: 35569731 DOI: 10.1016/j.ygeno.2022.110386] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 04/28/2022] [Accepted: 05/07/2022] [Indexed: 12/29/2022]
Abstract
Understanding of thermal adaptation mechanisms in yeast is crucial to develop better-adapted strains to industrial processes, providing more economical and sustainable products. We have analyzed the transcriptomic responses of three Saccharomyces cerevisiae strains, a commercial wine strain, ADY5, a laboratory strain, CEN.PK113-7D and a commercial bioethanol strain, Ethanol Red, grown at non-optimal temperatures under anaerobic chemostat conditions. Transcriptomic analysis of the three strains revealed a huge complexity of cellular mechanisms and responses. Overall, cold exerted a stronger transcriptional response in the three strains comparing with heat conditions, with a higher number of down-regulating genes than of up-regulating genes regardless the strain analyzed. The comparison of the transcriptome at both sub- and supra-optimal temperatures showed the presence of common genes up- or down-regulated in both conditions, but also the presence of common genes up- or down-regulated in the three studied strains. More specifically, we have identified and validated three up-regulated genes at sub-optimal temperature in the three strains, OPI3, EFM6 and YOL014W. Finally, the comparison of the transcriptomic data with a previous proteomic study with the same strains revealed a good correlation between gene activity and protein abundance, mainly at low temperature. Our work provides a global insight into the specific mechanisms involved in temperature adaptation regarding both transcriptome and proteome, which can be a step forward in the comprehension and improvement of yeast thermotolerance.
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