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Koster CC, Kleefeldt AA, van den Broek M, Luttik M, Daran JM, Daran-Lapujade P. Long-read direct RNA sequencing of the mitochondrial transcriptome of Saccharomyces cerevisiae reveals condition-dependent intron abundance. Yeast 2024; 41:256-278. [PMID: 37642136 DOI: 10.1002/yea.3893] [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: 05/31/2023] [Revised: 07/11/2023] [Accepted: 07/18/2023] [Indexed: 08/31/2023] Open
Abstract
Mitochondria fulfil many essential roles and have their own genome, which is expressed as polycistronic transcripts that undergo co- or posttranscriptional processing and splicing. Due to the inherent complexity and limited technical accessibility of the mitochondrial transcriptome, fundamental questions regarding mitochondrial gene expression and splicing remain unresolved, even in the model eukaryote Saccharomyces cerevisiae. Long-read sequencing could address these fundamental questions. Therefore, a method for the enrichment of mitochondrial RNA and sequencing using Nanopore technology was developed, enabling the resolution of splicing of polycistronic genes and the quantification of spliced RNA. This method successfully captured the full mitochondrial transcriptome and resolved RNA splicing patterns with single-base resolution and was applied to explore the transcriptome of S. cerevisiae grown with glucose or ethanol as the sole carbon source, revealing the impact of growth conditions on mitochondrial RNA expression and splicing. This study uncovered a remarkable difference in the turnover of Group II introns between yeast grown in either mostly fermentative or fully respiratory conditions. Whether this accumulation of introns in glucose medium has an impact on mitochondrial functions remains to be explored. Combined with the high tractability of the model yeast S. cerevisiae, the developed method enables to monitor mitochondrial transcriptome responses in a broad range of relevant contexts, including oxidative stress, apoptosis and mitochondrial diseases.
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Affiliation(s)
- Charlotte C Koster
- Department of Biotechnology, Delft University of Technology, Delft, The Netherlands
| | - Askar A Kleefeldt
- Department of Biotechnology, Delft University of Technology, Delft, The Netherlands
| | - Marcel van den Broek
- Department of Biotechnology, Delft University of Technology, Delft, The Netherlands
| | - Marijke Luttik
- Department of Biotechnology, Delft University of Technology, Delft, The Netherlands
| | - Jean-Marc Daran
- Department of Biotechnology, Delft University of Technology, Delft, The Netherlands
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Jacobus AP, Barreto JA, de Bem LS, Menegon YA, Fier Í, Bueno JGR, Dos Santos LV, Gross J. EasyGuide Plasmids Support in Vivo Assembly of gRNAs for CRISPR/Cas9 Applications in Saccharomyces cerevisiae. ACS Synth Biol 2022; 11:3886-3891. [PMID: 36257021 DOI: 10.1021/acssynbio.2c00348] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
Most CRISPR/Cas9 applications in yeast rely on a plasmid-based expression of Cas9 and its guide RNA (gRNA) containing a 20-nucleotides (nts) spacer tailored to each genomic target. The lengthy assembly of this customized gRNA requires at least 3-5 days for its precloning in Escherichia coli, purification, validation, and cotransformation with Cas9 into a yeast strain. Here, we constructed a series of 12 EasyGuide plasmids to simplify CRISPR/Cas9 applications in Saccharomyces cerevisiae. The new vectors provide templates for generating PCR fragments that can assemble up to six functional gRNAs directly into yeasts via homologous recombination between the 20-nts spacers. By dispensing precloning in E. coli, yeast in vivo gRNA assembly significantly reduces the CRISPR/Cas9 experimental workload. A highly efficient yeast genome editing procedure, involving PCR amplification of gRNAs and donors, followed by their transformation into a Cas9-expressing strain, can be easily accomplished through a quick protocol.
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Affiliation(s)
- Ana P Jacobus
- Institute for Bioenergy Research, Sao Paulo State University, Rio Claro 13500-230, São Paulo, Brazil
- Ph.D. Program in Bioenergy, Sao Paulo State University, Rio Claro 13500-230, São Paulo, Brazil
- Genetics and Molecular Biology Graduate Program, Institute of Biology, University of Campinas, Campinas 13083-970, Brazil
| | - Joneclei A Barreto
- Institute for Bioenergy Research, Sao Paulo State University, Rio Claro 13500-230, São Paulo, Brazil
- Ph.D. Program in Bioenergy, Sao Paulo State University, Rio Claro 13500-230, São Paulo, Brazil
| | - Lucas S de Bem
- Institute for Bioenergy Research, Sao Paulo State University, Rio Claro 13500-230, São Paulo, Brazil
- Genetics and Molecular Biology Graduate Program, Institute of Biology, University of Campinas, Campinas 13083-970, Brazil
| | - Yasmine A Menegon
- Institute for Bioenergy Research, Sao Paulo State University, Rio Claro 13500-230, São Paulo, Brazil
- Ph.D. Program in Bioenergy, Sao Paulo State University, Rio Claro 13500-230, São Paulo, Brazil
| | - Ícaro Fier
- Genetics and Molecular Biology Graduate Program, Institute of Biology, University of Campinas, Campinas 13083-970, Brazil
| | - João G R Bueno
- Genetics and Molecular Biology Graduate Program, Institute of Biology, University of Campinas, Campinas 13083-970, Brazil
| | - Leandro V Dos Santos
- Genetics and Molecular Biology Graduate Program, Institute of Biology, University of Campinas, Campinas 13083-970, Brazil
- SENAI Innovation Institute for Biotechnology, São Paulo 01130-000, Brazil
| | - Jeferson Gross
- Institute for Bioenergy Research, Sao Paulo State University, Rio Claro 13500-230, São Paulo, Brazil
- Ph.D. Program in Bioenergy, Sao Paulo State University, Rio Claro 13500-230, São Paulo, Brazil
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Zhao M, Gao M, Xiong L, Liu Y, Tao X, Gao B, Liu M, Wang FQ, Wei DZ. CRISPR-Cas Assisted Shotgun Mutagenesis Method for Evolutionary Genome Engineering. ACS Synth Biol 2022; 11:1958-1970. [PMID: 35500195 DOI: 10.1021/acssynbio.2c00112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Genome mutagenesis drives the evolution of organisms. Here, we developed a CRISPR-Cas assisted random mutation (CARM) technique for whole-genome mutagenesis. The method leverages an entirely random gRNA library and SpCas9-NG to randomly damage genomes in a controllable shotgunlike manner that then triggers diverse and abundant mutations via low-fidelity repair. As a proof of principle, CARM was applied to evolve the capacity of Saccharomyces cerevisiae BY4741 to produce β-carotene. After seven rounds of iterative evolution over two months, a β-carotene hyperproducing strain, C7-143, was isolated with a 10.5-fold increase in β-carotene production and 857 diverse genomic mutations that comprised indels, duplications, inversions, and chromosomal rearrangements. Transcriptomic analysis revealed that the expression of 2541 genes of strain C7-143 was significantly altered, suggesting that the metabolic landscape of the strain was deeply reconstructed. In addition, CARM was applied to evolve industrially relevant S. cerevisiae CEN.PK2-1C for S-adenosyl-L-methionine production, which was increased 2.28 times after just one round. Thus, CARM can contribute to increasing genetic diversity to identify new phenotypes that could further be investigated by reverse engineering.
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Affiliation(s)
- Ming Zhao
- State Key Laboratory of Bioreactor Engineering, Newworld Institute of Biotechnology, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China
- Anhui Engineering Laboratory for Industrial Microbiology Molecular Breeding, College of Biological and Food Engineering, Anhui Polytechnic University, Wuhu 241000, China
| | - Miaomiao Gao
- State Key Laboratory of Bioreactor Engineering, Newworld Institute of Biotechnology, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China
| | - Liangbin Xiong
- State Key Laboratory of Bioreactor Engineering, Newworld Institute of Biotechnology, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China
- Shanghai Key Laboratory of Molecular Imaging, Shanghai University of Medicine and Health Sciences, Shanghai 201318, China
| | - Yongjun Liu
- State Key Laboratory of Bioreactor Engineering, Newworld Institute of Biotechnology, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China
| | - Xinyi Tao
- State Key Laboratory of Bioreactor Engineering, Newworld Institute of Biotechnology, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China
| | - Bei Gao
- State Key Laboratory of Bioreactor Engineering, Newworld Institute of Biotechnology, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China
| | - Min Liu
- State Key Laboratory of Bioreactor Engineering, Newworld Institute of Biotechnology, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China
| | - Feng-Qing Wang
- State Key Laboratory of Bioreactor Engineering, Newworld Institute of Biotechnology, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China
| | - Dong-Zhi Wei
- State Key Laboratory of Bioreactor Engineering, Newworld Institute of Biotechnology, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China
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