1
|
Lu Z, Shen Q, Bandari NC, Evans S, McDonnell L, Liu L, Jin W, Luna-Flores CH, Collier T, Talbo G, McCubbin T, Esquirol L, Myers C, Trau M, Dumsday G, Speight R, Howard CB, Vickers CE, Peng B. LowTempGAL: a highly responsive low temperature-inducible GAL system in Saccharomyces cerevisiae. Nucleic Acids Res 2024; 52:7367-7383. [PMID: 38808673 PMCID: PMC11229376 DOI: 10.1093/nar/gkae460] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2023] [Revised: 05/12/2024] [Accepted: 05/16/2024] [Indexed: 05/30/2024] Open
Abstract
Temperature is an important control factor for biologics biomanufacturing in precision fermentation. Here, we explored a highly responsive low temperature-inducible genetic system (LowTempGAL) in the model yeast Saccharomyces cerevisiae. Two temperature biosensors, a heat-inducible degron and a heat-inducible protein aggregation domain, were used to regulate the GAL activator Gal4p, rendering the leaky LowTempGAL systems. Boolean-type induction was achieved by implementing a second-layer control through low-temperature-mediated repression on GAL repressor gene GAL80, but suffered delayed response to low-temperature triggers and a weak response at 30°C. Application potentials were validated for protein and small molecule production. Proteomics analysis suggested that residual Gal80p and Gal4p insufficiency caused suboptimal induction. 'Turbo' mechanisms were engineered through incorporating a basal Gal4p expression and a galactose-independent Gal80p-supressing Gal3p mutant (Gal3Cp). Varying Gal3Cp configurations, we deployed the LowTempGAL systems capable for a rapid stringent high-level induction upon the shift from a high temperature (37-33°C) to a low temperature (≤30°C). Overall, we present a synthetic biology procedure that leverages 'leaky' biosensors to deploy highly responsive Boolean-type genetic circuits. The key lies in optimisation of the intricate layout of the multi-factor system. The LowTempGAL systems may be applicable in non-conventional yeast platforms for precision biomanufacturing.
Collapse
Affiliation(s)
- Zeyu Lu
- ARC Centre of Excellence in Synthetic Biology, Australia
- Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD 4072, Australia
- Centre of Agriculture and the Bioeconomy, School of Biology and Environmental Science, Faculty of Science, Queensland University of Technology, Brisbane, QLD 4000, Australia
| | - Qianyi Shen
- ARC Centre of Excellence in Synthetic Biology, Australia
- Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD 4072, Australia
- Centre of Agriculture and the Bioeconomy, School of Biology and Environmental Science, Faculty of Science, Queensland University of Technology, Brisbane, QLD 4000, Australia
| | - Naga Chandra Bandari
- Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD 4072, Australia
| | - Samuel Evans
- ARC Centre of Excellence in Synthetic Biology, Australia
- Centre of Agriculture and the Bioeconomy, School of Biology and Environmental Science, Faculty of Science, Queensland University of Technology, Brisbane, QLD 4000, Australia
| | - Liam McDonnell
- ARC Centre of Excellence in Synthetic Biology, Australia
- Centre of Agriculture and the Bioeconomy, School of Biology and Environmental Science, Faculty of Science, Queensland University of Technology, Brisbane, QLD 4000, Australia
| | - Lian Liu
- Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD 4072, Australia
- The Queensland Node of Metabolomics Australia and Proteomics Australia (Q-MAP), Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD 4072, Australia
| | - Wanli Jin
- Institute for Molecular Bioscience (IMB), The University of Queensland, Brisbane, QLD 4072, Australia
| | - Carlos Horacio Luna-Flores
- Centre of Agriculture and the Bioeconomy, School of Biology and Environmental Science, Faculty of Science, Queensland University of Technology, Brisbane, QLD 4000, Australia
| | - Thomas Collier
- ARC Centre of Excellence in Synthetic Biology, Australia
- School of Natural Sciences, Macquarie University, Sydney, NSW 2109, Australia
| | - Gert Talbo
- Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD 4072, Australia
- The Queensland Node of Metabolomics Australia and Proteomics Australia (Q-MAP), Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD 4072, Australia
| | - Tim McCubbin
- ARC Centre of Excellence in Synthetic Biology, Australia
- Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD 4072, Australia
| | - Lygie Esquirol
- Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD 4072, Australia
- Environment, Commonwealth Scientific and Industrial Research Organisation, Canberra, ACT 2601, Australia
| | - Chris Myers
- Department of Electrical, Computer, and Energy Engineering University of Colorado, Boulder, CO 80309, USA
| | - Matt Trau
- Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD 4072, Australia
- School of Chemistry and Molecular Biosciences (SCMB), the University of Queensland, Brisbane, QLD 4072, Australia
| | - Geoff Dumsday
- Manufacturing, Commonwealth Scientific and Industrial Research Organisation, Clayton, VIC, 3169, Australia
| | - Robert Speight
- ARC Centre of Excellence in Synthetic Biology, Australia
- Centre of Agriculture and the Bioeconomy, School of Biology and Environmental Science, Faculty of Science, Queensland University of Technology, Brisbane, QLD 4000, Australia
- Advanced Engineering Biology Future Science Platform, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Black Mountain, ACT, 2601, Australia
| | - Christopher B Howard
- Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD 4072, Australia
| | - Claudia E Vickers
- ARC Centre of Excellence in Synthetic Biology, Australia
- Centre of Agriculture and the Bioeconomy, School of Biology and Environmental Science, Faculty of Science, Queensland University of Technology, Brisbane, QLD 4000, Australia
| | - Bingyin Peng
- ARC Centre of Excellence in Synthetic Biology, Australia
- Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD 4072, Australia
- Centre of Agriculture and the Bioeconomy, School of Biology and Environmental Science, Faculty of Science, Queensland University of Technology, Brisbane, QLD 4000, Australia
| |
Collapse
|
2
|
Liu H, Sun M, Zhang J. Genomic estimates of mutation and substitution rates contradict the evolutionary speed hypothesis of the latitudinal diversity gradient. Proc Biol Sci 2023; 290:20231787. [PMID: 37876195 PMCID: PMC10598419 DOI: 10.1098/rspb.2023.1787] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Accepted: 09/26/2023] [Indexed: 10/26/2023] Open
Abstract
The latitudinal diversity gradient (LDG) refers to a decrease in biodiversity from the equator to the poles. The evolutionary speed hypothesis, backed by the metabolic theory of ecology, asserts that nucleotide mutation and substitution rates per site per year are higher and thereby speciation rates are higher at higher temperatures, generating the LDG. However, prior empirical investigations of the relationship between the temperature and mutation or substitution rate were based on a few genes and the results were mixed. We here revisit this relationship using genomic data. No significant correlation between the temperature and mutation rate is found in 13 prokaryotes or in 107 eukaryotes. An analysis of 234 diverse trios of bacterial taxa indicates that the synonymous substitution rate is not significantly associated with the growth temperature. The same data, however, reveal a significant negative association between the nonsynonymous substitution rate and temperature, which is explainable by a larger fraction of detrimental nonsynonymous mutations at higher temperatures due to a stronger demand for protein stability. We conclude that the evolutionary speed hypothesis of the LDG is unsupported by genomic data and advise that future mechanistic studies of the LDG should focus on other hypotheses.
Collapse
Affiliation(s)
- Haoxuan Liu
- Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48109, USA
- Center for Evolutionary & Organismal Biology and the Fourth Affiliated Hospital of Zhejiang University, Zhejiang University School of Medicine, Hangzhou 310058, People's Republic of China
| | - Mengyi Sun
- Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Jianzhi Zhang
- Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48109, USA
| |
Collapse
|
3
|
Sibbin K, Yap P, Nyaga D, Heller R, Evans S, Strachan K, Alburaiky S, Nguyen HMA, Hermann-Le Denmat S, Ganley ARD, O'Sullivan JM, Bloomfield FH. A de novo ACTB gene pathogenic variant in identical twins with phenotypic variation for hydrops and jejunal atresia. Am J Med Genet A 2021; 188:1299-1306. [PMID: 34970864 PMCID: PMC9302691 DOI: 10.1002/ajmg.a.62631] [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: 09/05/2021] [Revised: 11/11/2021] [Accepted: 12/11/2021] [Indexed: 11/05/2022]
Abstract
The beta-actin gene (ACTB) encodes a ubiquitous cytoskeletal protein, essential for embryonic development in humans. De novo heterozygous missense variants in the ACTB are implicated in causing Baraitser-Winter cerebrofrontofacial syndrome (BWCFFS; MIM#243310). ACTB pathogenic variants are rarely associated with intestinal malformations. We report on a rare case of monozygotic twins presenting with proximal small bowel atresia and hydrops in one, and apple-peel bowel atresia and laryngeal dysgenesis in the other. The twin with hydrops could not be resuscitated. Intensive and surgical care was provided to the surviving twin. Rapid trio genome sequencing identified a de novo missense variant in ACTB (NM_00101.3:c.1043C>T; p.(Ser348Leu)) that guided the care plan. The identical variant subsequently was identified in the demised twin. To characterize the functional effect, the variant was recreated as a pseudoheterozygote in a haploid wild-type S. cerevisiae strain. There was an obvious growth defect of the yACT1S348L/WT pseudoheterozygote compared to a yACT1WT/WT strain when grown at 22°C but not when grown at 30°C, consistent with the yACT1 S348L variant having a functional defect that is dominant over the wild-type allele. The functional results provide supporting evidence that the Ser348Leu variant is likely to be a pathogenic variant, including being associated with intestinal malformations in BWCFFS, and can demonstrate variable expressivity within monozygotic twins.
Collapse
Affiliation(s)
- Kristina Sibbin
- Starship Child Health, Auckland City Hospital, Auckland, New Zealand
| | - Patrick Yap
- Starship Child Health, Auckland City Hospital, Auckland, New Zealand
| | - Denis Nyaga
- Liggins Institute, The University of Auckland, Auckland, New Zealand
| | - Raoul Heller
- Starship Child Health, Auckland City Hospital, Auckland, New Zealand
| | - Stephen Evans
- Starship Child Health, Auckland City Hospital, Auckland, New Zealand
| | - Kate Strachan
- Starship Child Health, Auckland City Hospital, Auckland, New Zealand
| | - Salam Alburaiky
- Starship Child Health, Auckland City Hospital, Auckland, New Zealand
| | - Han M Alex Nguyen
- School of Biological Sciences, The University of Auckland, Auckland, New Zealand
| | | | - Austen R D Ganley
- School of Biological Sciences, The University of Auckland, Auckland, New Zealand
| | - Justin M O'Sullivan
- Liggins Institute, The University of Auckland, Auckland, New Zealand.,The Maurice Wilkins Centre, The University of Auckland, Auckland, New Zealand.,Australian Parkinsons Mission, Garvan Institute of Medical Research, Sydney, New South Wales, Australia.,Brain Research New Zealand, The University of Auckland, Auckland, New Zealand.,MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - Frank H Bloomfield
- Starship Child Health, Auckland City Hospital, Auckland, New Zealand.,Liggins Institute, The University of Auckland, Auckland, New Zealand
| |
Collapse
|
4
|
Lin J, Yao Z, Lyu X, Ye L, Yu H. Development of a dual temperature control system for isoprene biosynthesis in Saccharomyces cerevisiae. Front Chem Sci Eng 2021. [DOI: 10.1007/s11705-021-2088-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
|
5
|
Khan C, Muliyil S, Ayyub C, Rao BJ. spn-A/rad51 mutant exhibits enhanced genomic damage, cell death and low temperature sensitivity in somatic tissues. Chromosoma 2020; 130:3-14. [PMID: 33222024 DOI: 10.1007/s00412-020-00746-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Revised: 11/09/2020] [Accepted: 11/12/2020] [Indexed: 11/28/2022]
Abstract
Homologous recombination (HR) is one of the key pathways to repair double-strand breaks (DSBs). Rad51 serves an important function of catalysing strand exchange between two homologous sequences in the HR pathway. In higher organisms, rad51 function is indispensable with its absence leading to early embryonic lethality, thus precluding any mechanistic probing of the system. In contrast, the absence of Drosophila rad51 (spn-A/rad51) has been associated with defects in the germline, without any reported detrimental consequences to Drosophila somatic tissues. In this study, we have performed a systematic analysis of developmental defects in somatic tissues of spn-A mutant flies by using genetic complementation between multiple spn-A alleles. Our current study, for the first time, uncovers a requirement for spn-A in somatic tissue maintenance during both larval and pupal stages. Also, we show that spn-A mutant exhibits patterning defects in abdominal cuticle in the stripes and bristles, while there appear to be only subtle defects in the adult wing and eye. Interestingly, spn-A mutant shows a discernible phenotype of low temperature sensitivity, suggesting a role of spn-A in temperature sensitive cellular processes. In summary, our study describes the important role played by spn-A/rad51 in Drosophila somatic tissues.
Collapse
Affiliation(s)
- Chaitali Khan
- Department of Biological Sciences, Tata Institute of Fundamental Research, Colaba, Mumbai, 400005, India. .,Department of Genetics, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY, 10461, USA.
| | - Sonia Muliyil
- Department of Biological Sciences, Tata Institute of Fundamental Research, Colaba, Mumbai, 400005, India.,Sir William Dunn School of Pathology, University of Oxford, South Parks Road, Oxford, OX1 3RE, UK
| | - Champakali Ayyub
- Department of Biological Sciences, Tata Institute of Fundamental Research, Colaba, Mumbai, 400005, India
| | - B J Rao
- Department of Biological Sciences, Tata Institute of Fundamental Research, Colaba, Mumbai, 400005, India. .,Indian Institute of Science Education and Research (IISER) Tirupati, Transit Campus, Sree Rama Engineering College, Tirupati, India.
| |
Collapse
|
6
|
Hang R, Wang Z, Deng X, Liu C, Yan B, Yang C, Song X, Mo B, Cao X. Ribosomal RNA Biogenesis and Its Response to Chilling Stress in Oryza sativa. PLANT PHYSIOLOGY 2018; 177:381-397. [PMID: 29555785 PMCID: PMC5933117 DOI: 10.1104/pp.17.01714] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2017] [Accepted: 03/02/2018] [Indexed: 05/20/2023]
Abstract
Ribosome biogenesis is crucial for plant growth and environmental acclimation. Processing of ribosomal RNAs (rRNAs) is an essential step in ribosome biogenesis and begins with transcription of the rDNA. The resulting precursor-rRNA (pre-rRNA) transcript undergoes systematic processing, where multiple endonucleolytic and exonucleolytic cleavages remove the external and internal transcribed spacers (ETS and ITS). The processing sites and pathways for pre-rRNA processing have been deciphered in Saccharomyces cerevisiae and, to some extent, in Xenopus laevis, mammalian cells, and Arabidopsis (Arabidopsis thaliana). However, the processing sites and pathways remain largely unknown in crops, particularly in monocots such as rice (Oryza sativa), one of the most important food resources in the world. Here, we identified the rRNA precursors produced during rRNA biogenesis and the critical endonucleolytic cleavage sites in the transcribed spacer regions of pre-rRNAs in rice. We further found that two pre-rRNA processing pathways, distinguished by the order of 5' ETS removal and ITS1 cleavage, coexist in vivo. Moreover, exposing rice to chilling stress resulted in the inhibition of rRNA biogenesis mainly at the pre-rRNA processing level, suggesting that these energy-intensive processes may be reduced to increase acclimation and survival at lower temperatures. Overall, our study identified the pre-rRNA processing pathway in rice and showed that ribosome biogenesis is quickly inhibited by low temperatures, which may shed light on the link between ribosome biogenesis and environmental acclimation in crop plants.
Collapse
MESH Headings
- Cold Temperature
- Models, Biological
- Oryza/genetics
- Oryza/physiology
- RNA Precursors/genetics
- RNA Precursors/metabolism
- RNA Processing, Post-Transcriptional/genetics
- RNA, Messenger/genetics
- RNA, Messenger/metabolism
- RNA, Ribosomal/biosynthesis
- RNA, Ribosomal, 18S/metabolism
- Ribosome Subunits, Large/metabolism
- Ribosome Subunits, Small/metabolism
- Stress, Physiological
Collapse
Affiliation(s)
- Runlai Hang
- Guangdong Provincial Key Laboratory for Plant Epigenetics, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen 518060, Guangdong Province, China
- State Key Laboratory of Plant Genomics and National Center for Plant Gene Research, CAS Center for Excellence in Molecular Plant Sciences, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Zhen Wang
- State Key Laboratory of Plant Genomics and National Center for Plant Gene Research, CAS Center for Excellence in Molecular Plant Sciences, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100039, China
| | - Xian Deng
- State Key Laboratory of Plant Genomics and National Center for Plant Gene Research, CAS Center for Excellence in Molecular Plant Sciences, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Chunyan Liu
- State Key Laboratory of Plant Genomics and National Center for Plant Gene Research, CAS Center for Excellence in Molecular Plant Sciences, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Bin Yan
- State Key Laboratory of Plant Genomics and National Center for Plant Gene Research, CAS Center for Excellence in Molecular Plant Sciences, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100039, China
| | - Chao Yang
- State Key Laboratory of Plant Genomics and National Center for Plant Gene Research, CAS Center for Excellence in Molecular Plant Sciences, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100039, China
| | - Xianwei Song
- State Key Laboratory of Plant Genomics and National Center for Plant Gene Research, CAS Center for Excellence in Molecular Plant Sciences, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Beixin Mo
- Guangdong Provincial Key Laboratory for Plant Epigenetics, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen 518060, Guangdong Province, China
| | - Xiaofeng Cao
- State Key Laboratory of Plant Genomics and National Center for Plant Gene Research, CAS Center for Excellence in Molecular Plant Sciences, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100039, China
| |
Collapse
|