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Zhao Z, Geisbrecht ER. Stage-specific modulation of Drosophila gene expression with muscle GAL4 promoters. Fly (Austin) 2025; 19:2447617. [PMID: 39772988 PMCID: PMC11730430 DOI: 10.1080/19336934.2024.2447617] [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: 10/15/2024] [Revised: 12/19/2024] [Accepted: 12/20/2024] [Indexed: 01/11/2025] Open
Abstract
The bipartite GAL4/UAS system is the most widely used method for targeted gene expression in Drosophila melanogaster and facilitates rapid in vivo genetic experimentation. Defining precise gene expression patterns for tissues and/or cell types under GAL4 control will continue to evolve to suit experimental needs. However, the precise spatial and temporal expression patterns for some commonly used muscle tissue promoters are still unclear. This missing information limits the precise timing of experiments during development. Here, we focus on three muscle-enriched GAL4 drivers (Mef2-GAL4, C57-GAL4 and G7-GAL4) to better inform selection of the most appropriate muscle promoter for experimental needs. Specifically, C57-GAL4 and G7-GAL4 turn on in the first or second instar larval stages, respectively, and can be used to bypass myogenesis for studies of muscle function after development.
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Affiliation(s)
- Ziwei Zhao
- Department of Biochemistry and Molecular Biophysics, Kansas State University, Manhattan, KS, USA
| | - Erika R Geisbrecht
- Department of Biochemistry and Molecular Biophysics, Kansas State University, Manhattan, KS, USA
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2
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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.
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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
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3
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Motorina DM, Galimova YA, Battulina NV, Omelina ES. Systems for Targeted Silencing of Gene Expression and Their Application in Plants and Animals. Int J Mol Sci 2024; 25:5231. [PMID: 38791270 PMCID: PMC11121118 DOI: 10.3390/ijms25105231] [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: 04/15/2024] [Revised: 05/06/2024] [Accepted: 05/08/2024] [Indexed: 05/26/2024] Open
Abstract
At present, there are a variety of different approaches to the targeted regulation of gene expression. However, most approaches are devoted to the activation of gene transcription, and the methods for gene silencing are much fewer in number. In this review, we describe the main systems used for the targeted suppression of gene expression (including RNA interference (RNAi), chimeric transcription factors, chimeric zinc finger proteins, transcription activator-like effectors (TALEs)-based repressors, optogenetic tools, and CRISPR/Cas-based repressors) and their application in eukaryotes-plants and animals. We consider the advantages and disadvantages of each approach, compare their effectiveness, and discuss the peculiarities of their usage in plant and animal organisms. This review will be useful for researchers in the field of gene transcription suppression and will allow them to choose the optimal method for suppressing the expression of the gene of interest depending on the research object.
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Affiliation(s)
| | | | | | - Evgeniya S. Omelina
- Institute of Molecular and Cellular Biology, Siberian Branch of the Russian Academy of Sciences, 630090 Novosibirsk, Russia
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4
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Grmai L, Michaca M, Lackner E, Nampoothiri V P N, Vasudevan D. Integrated stress response signaling acts as a metabolic sensor in fat tissues to regulate oocyte maturation and ovulation. Cell Rep 2024; 43:113863. [PMID: 38457339 PMCID: PMC11077669 DOI: 10.1016/j.celrep.2024.113863] [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: 03/21/2023] [Revised: 11/23/2023] [Accepted: 02/08/2024] [Indexed: 03/10/2024] Open
Abstract
Reproduction is an energy-intensive process requiring systemic coordination. However, the inter-organ signaling mechanisms that relay nutrient status to modulate reproductive output are poorly understood. Here, we use Drosophila melanogaster as a model to establish the integrated stress response (ISR) transcription factor, Atf4, as a fat tissue metabolic sensor that instructs oogenesis. We demonstrate that Atf4 regulates lipase activity to mediate yolk lipoprotein synthesis in the fat body. Depletion of Atf4 in the fat body also blunts oogenesis recovery after amino acid deprivation and re-feeding, suggestive of a nutrient-sensing role for Atf4. We also discovered that Atf4 promotes secretion of a fat-body-derived neuropeptide, CNMamide, which modulates neural circuits that promote egg-laying behavior (ovulation). Thus, we posit that ISR signaling in fat tissue acts as a "metabolic sensor" that instructs female reproduction-directly by impacting yolk lipoprotein production and follicle maturation and systemically by regulating ovulation.
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Affiliation(s)
- Lydia Grmai
- Department of Cell Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC, USA
| | - Manuel Michaca
- Department of Cell Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Emily Lackner
- Department of Cell Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | | | - Deepika Vasudevan
- Department of Cell Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
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5
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Kogenaru V, Isalan M, Kogenaru M. A drug stabilizable GAL80 ds for conditional control of gene expression via GAL4-UAS and CRISPR-Cas9 systems in Drosophila. Sci Rep 2024; 14:5893. [PMID: 38467687 PMCID: PMC10928143 DOI: 10.1038/s41598-024-56343-4] [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: 12/07/2023] [Accepted: 03/05/2024] [Indexed: 03/13/2024] Open
Abstract
The binary GAL4-UAS expression system has been widely used in Drosophila to achieve tissue-specific expression of genes. To further allow for simultaneous spatial and conditional control of gene expression in existing GAL4 expression lines backgrounds, temperature and chemical controllable GAL80 variants have been engineered. Here we add a new drug stabilizable GAL80ds variant, by fusing it to a low-background DHFR-22-DD. We first quantify both single (DD-GAL80) and double (DD-GAL80-DD) architectures and show varied background and activation levels. Next, we demonstrate the utility of GAL80ds Drosophila line to regulate a cell death gene ectopically, in a drug-dependent manner, by utilizing an existing tissue-specific GAL4 driver that regulates the expression of a cell death gene under a UAS. Finally, we showcase the usefulness of GAL80ds in tight drug-mediated regulation of a target gene, from an endogenous locus, by utilizing an existing tissue-specific GAL4 to drive the expression of a dead Cas9 variant fused to the transcriptional coactivator nejire, under a UAS and in gRNA lines. Overall, these new GAL80ds lines expand the use of the wide variety of existing tissue-specific GAL4 and gene-specific gRNA lines. This enables conditional control of genes, both ectopically and endogenously, for a broad array of gene expression control applications.
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Affiliation(s)
- Vaishnavi Kogenaru
- Ricards Lodge High School, Lake Road, Wimbledon, London, SW19 7HB, UK
- West Windsor-Plainsboro High School South, 346 Clarksville Rd, Princeton Junction, NJ, 08550, USA
| | - Mark Isalan
- Department of Life Sciences, Imperial College London, London, SW7 2AZ, UK
- Imperial College Centre for Synthetic Biology, Imperial College London, London, SW7 2AZ, UK
| | - Manjunatha Kogenaru
- Department of Life Sciences, Imperial College London, London, SW7 2AZ, UK.
- Imperial College Centre for Synthetic Biology, Imperial College London, London, SW7 2AZ, UK.
- Neuroscience Institute, NYU Langone Medical Center, 435 E 30th St., New York, NY, 10016, USA.
- Institute for Systems Genetics, NYU Langone Medical Center, 435 E 30th St., New York, NY, 10016, USA.
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6
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Barwell T, Raina S, Page A, MacCharles H, Seroude L. Juvenile and adult expression of polyglutamine expanded huntingtin produce distinct aggregate distributions in Drosophila muscle. Hum Mol Genet 2023; 32:2656-2668. [PMID: 37369041 DOI: 10.1093/hmg/ddad098] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 05/09/2023] [Accepted: 06/02/2023] [Indexed: 06/29/2023] Open
Abstract
While Huntington's disease (HD) is widely recognized as a disease affecting the nervous system, much evidence has accumulated to suggest peripheral or non-neuronal tissues are affected as well. Here, we utilize the UAS/GAL4 system to express a pathogenic HD construct in the muscle of the fly and characterize the effects. We observe detrimental phenotypes such as a reduced lifespan, decreased locomotion and accumulation of protein aggregates. Strikingly, depending on the GAL4 driver used to express the construct, we saw different aggregate distributions and severity of phenotypes. These different aggregate distributions were found to be dependent on the expression level and the timing of expression. Hsp70, a well-documented suppressor of polyglutamine aggregates, was found to strongly reduce the accumulation of aggregates in the eye, but in the muscle, it did not prevent the reduction of the lifespan. Therefore, the molecular mechanisms underlying the detrimental effects of aggregates in the muscle are distinct from the nervous system.
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Affiliation(s)
- Taylor Barwell
- Department of Biology, Queen's University, 116 Barrie St, Kingston, Ontario, K7L 3N6, Canada
| | - Sehaj Raina
- Department of Biology, Queen's University, 116 Barrie St, Kingston, Ontario, K7L 3N6, Canada
| | - Austin Page
- Department of Biology, Queen's University, 116 Barrie St, Kingston, Ontario, K7L 3N6, Canada
| | - Hayley MacCharles
- Department of Biology, Queen's University, 116 Barrie St, Kingston, Ontario, K7L 3N6, Canada
| | - Laurent Seroude
- Department of Biology, Queen's University, 116 Barrie St, Kingston, Ontario, K7L 3N6, Canada
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7
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Yang J, Chen S, Xu X, Lin S, Wu J, Lin G, Bai J, Song Q, You M, Xie M. Novel miR-108 and miR-234 target juvenile hormone esterase to regulate the response of Plutella xylostella to Cry1Ac protoxin. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 254:114761. [PMID: 36907089 DOI: 10.1016/j.ecoenv.2023.114761] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Revised: 03/05/2023] [Accepted: 03/08/2023] [Indexed: 06/18/2023]
Abstract
Insect hormones, such as juvenile hormone (JH), precisely regulate insect life-history traits. The regulation of JH is tightly associated with the tolerance or resistance to Bacillus thuringiensis (Bt). JH esterase (JHE) is a primary JH-specific metabolic enzyme which plays a key role in regulating JH titer. Here, we characterized a JHE gene from Plutella xylostella (PxJHE), and found it was differentially expressed in the Bt Cry1Ac resistant and susceptible strains. Suppression of PxJHE expression with RNAi increased the tolerance of P. xylostella to Cry1Ac protoxin. To investigate the regulatory mechanism of PxJHE, two target site prediction algorithms were applied to predict the putative miRNAs targeting PxJHE, and the resulting putative miRNAs were subsequently verified for their function targeting PxJHE using luciferase reporter assay and RNA immunoprecipitation. MiR-108 or miR-234 agomir delivery dramatically reduced PxJHE expression in vivo, whilst only miR-108 overexpression consequently increased the tolerance of P. xylostella larvae to Cry1Ac protoxin. By contrast, reduction of miR-108 or miR-234 dramatically increased PxJHE expression, accompanied by the decreased tolerance to Cry1Ac protoxin. Furthermore, injection of miR-108 or miR-234 led to developmental defects in P. xylostella, whilst injection of antagomir did not cause any obvious abnormal phenotypes. Our results indicated that miR-108 or miR-234 can be applied as potential molecular targets to combat P. xylostella and perhaps other lepidopteran pests, providing novel insights into miRNA-based integrated pest management.
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Affiliation(s)
- Jie Yang
- State Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, Ministerial and Provincial Joint Innovation Centre for Safety Production of Cross-Strait Crops, Institute of Applied Ecology, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Shiyao Chen
- State Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, Ministerial and Provincial Joint Innovation Centre for Safety Production of Cross-Strait Crops, Institute of Applied Ecology, Fujian Agriculture and Forestry University, Fuzhou 350002, China; College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Xuejiao Xu
- School of Life Sciences, Peking University, Beijing 100871, China
| | - Sujie Lin
- State Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, Ministerial and Provincial Joint Innovation Centre for Safety Production of Cross-Strait Crops, Institute of Applied Ecology, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Jiaqi Wu
- State Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, Ministerial and Provincial Joint Innovation Centre for Safety Production of Cross-Strait Crops, Institute of Applied Ecology, Fujian Agriculture and Forestry University, Fuzhou 350002, China; College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Guifang Lin
- State Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, Ministerial and Provincial Joint Innovation Centre for Safety Production of Cross-Strait Crops, Institute of Applied Ecology, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Jianlin Bai
- State Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, Ministerial and Provincial Joint Innovation Centre for Safety Production of Cross-Strait Crops, Institute of Applied Ecology, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Qisheng Song
- Division of Plant Science and Technology, University of Missouri, Columbia, MO 65211, USA
| | - Minsheng You
- State Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, Ministerial and Provincial Joint Innovation Centre for Safety Production of Cross-Strait Crops, Institute of Applied Ecology, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
| | - Miao Xie
- State Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, Ministerial and Provincial Joint Innovation Centre for Safety Production of Cross-Strait Crops, Institute of Applied Ecology, Fujian Agriculture and Forestry University, Fuzhou 350002, China; College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
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Yang D, Xiao F, Yuan Y, Li J, Wang S, Fan X, Ni Q, Li Y, Zhang M, Gu X, Yan T, Yang M, He Z. The Expression Pattern of tRNA-Derived Small RNAs in Adult Drosophila and the Function of tRF-Trp-CCA-014- H3C4 Network Analysis. Int J Mol Sci 2023; 24:ijms24076169. [PMID: 37047149 PMCID: PMC10094720 DOI: 10.3390/ijms24076169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 03/20/2023] [Accepted: 03/23/2023] [Indexed: 04/14/2023] Open
Abstract
tRNA-derived small RNAs (tsRNAs) are derived from tRNA and include tRNA halves (tiRNAs) and tRNA fragments (tRFs). tsRNAs have been implicated in a variety of important biological functions, such as cell growth, transcriptional regulation, and apoptosis. Emerging evidence has shown that Ago1-guided and Ago2-guided tsRNAs are expressed at 3 and 30 days in Drosophila and that tRF biogenesis in fruit flies affects tRNA processing and tRNA methylation. However, a wide analysis of tsRNA patterns in different ages of Drosophila have not been reported via the small RNA sequencing method. In the present study, tsRNAs of young (7 days) and old (42 days) Drosophila were sequenced and their expression characteristics were analysed. Then, a specific tRF (named tRF-Trp-CCA-014) was determined and was found to be conserved in fruit flies, mice, and humans. The expression patterns of tRF-Trp-CCA-014 in different tissues and stages of fruit flies and mice, and mouse NIH/3T3 cells were detected. Furthermore, mouse embryonic fibroblast NIH/3T3 cells were used as a model to analyse the function and targets of tRF-Trp-CCA-014. The RNA-seq data of six groups (Mimics, Mimic NC, Inhibitors, Inhibitor NC, Aging (adriamycin), and Control (Normal)) in mouse NIH3T3 cells were analysed. The results showed that the number of tsRNAs at 42 days (417) was more than at 7 days (288); thus, it was enriched with age. tRFs-1 were the most enriched, followed by 5'-tRFs and 3'-tRFs. Twenty-one differentially expressed tsRNAs were identified between 7 days and 42 days. Then, the conserved tRF tRF-Trp-CCA-014 was identified and found to accumulate in aged fruit flies and aged mouse NIH3T3 cells. RNA-seq data showed that most differentially expressed genes were involved in the immune system, cancer: overview, and signal translation. Furthermore, tRF-Trp-CCA-014 was found to bind to the 3'UTR of H3C4 in a dual-luciferase reporter gene assay. tRF-Trp-CCA-014 and H3C4 were detected in the cytoplasm of aged NIH3T3 cells by RNA in situ hybridization. These results suggest that the H3C4 gene is the target of tRF-Trp-CCA-014. This study will advance the current understanding of tRF roles and their implication in Drosophila and mouse studies.
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Affiliation(s)
- Deying Yang
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
| | - Feng Xiao
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China
| | - Ya Yuan
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China
| | - Jiamei Li
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China
| | - Siqi Wang
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China
| | - Xiaolan Fan
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
| | - Qingyong Ni
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
| | - Yan Li
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
| | - Mingwang Zhang
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
| | - Xiaobin Gu
- College of Veterinary Medicine, Sichuan Agricultural University, Chengdu 611130, China
| | - Taiming Yan
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China
| | - Mingyao Yang
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
| | - Zhi He
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China
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9
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Barwell T, Geld S, Seroude L. Comparison of GAL80ts and Tet-off GAL80 transgenes. MICROPUBLICATION BIOLOGY 2023; 2023:10.17912/micropub.biology.000770. [PMID: 37033706 PMCID: PMC10080293 DOI: 10.17912/micropub.biology.000770] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Figures] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 03/20/2023] [Accepted: 03/22/2023] [Indexed: 04/11/2023]
Abstract
The manipulation of gene expression requires complete control of space, time and level of expression. In Drosophila , the UAS/GAL4 system has been instrumental in achieving spatial control, but the pursuit for the ideal system for temporal control is ongoing. One strategy used by many groups is to use GAL80. Two different kinds of GAL80 transgenic constructs have been reported but have never been compared directly. Here, we characterize and compare the repression ability of the GAL80ts and Tet-off GAL80 transgenes by two different assays. We found that GAL80ts was generally more efficient than Tet-off GAL80 and that the level of repression was dependent on the GAL4 driver, and did not necessarily correlate with expression level. We also investigated the level of expression upon inactivation of GAL80ts. The level and kinetics of inactivation were found to differ depending on the GAL4 driver and the stage of the life cycle, and in many cases the inactivation was incomplete. These results emphasize that it is essential to measure experimentally the level of expression under repressed and unrepressed states when multiple GAL4 drivers are used with GAL80 transgenes.
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Affiliation(s)
| | - Sofia Geld
- Biology, Queen's University, Kingston, Ontario, Canada
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10
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Livelo C, Guo Y, Abou Daya F, Rajasekaran V, Varshney S, Le HD, Barnes S, Panda S, Melkani GC. Time-restricted feeding promotes muscle function through purine cycle and AMPK signaling in Drosophila obesity models. Nat Commun 2023; 14:949. [PMID: 36810287 PMCID: PMC9944249 DOI: 10.1038/s41467-023-36474-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Accepted: 02/01/2023] [Indexed: 02/23/2023] Open
Abstract
Obesity caused by genetic and environmental factors can lead to compromised skeletal muscle function. Time-restricted feeding (TRF) has been shown to prevent muscle function decline from obesogenic challenges; however, its mechanism remains unclear. Here we demonstrate that TRF upregulates genes involved in glycine production (Sardh and CG5955) and utilization (Gnmt), while Dgat2, involved in triglyceride synthesis is downregulated in Drosophila models of diet- and genetic-induced obesity. Muscle-specific knockdown of Gnmt, Sardh, and CG5955 lead to muscle dysfunction, ectopic lipid accumulation, and loss of TRF-mediated benefits, while knockdown of Dgat2 retains muscle function during aging and reduces ectopic lipid accumulation. Further analyses demonstrate that TRF upregulates the purine cycle in a diet-induced obesity model and AMPK signaling-associated pathways in a genetic-induced obesity model. Overall, our data suggest that TRF improves muscle function through modulations of common and distinct pathways under different obesogenic challenges and provides potential targets for obesity treatments.
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Affiliation(s)
- Christopher Livelo
- Department of Pathology, Division of Molecular and Cellular Pathology, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL, 35294, USA
| | - Yiming Guo
- Department of Pathology, Division of Molecular and Cellular Pathology, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL, 35294, USA
| | - Farah Abou Daya
- Department of Pathology, Division of Molecular and Cellular Pathology, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL, 35294, USA
| | - Vasanthi Rajasekaran
- Department of Pathology, Division of Molecular and Cellular Pathology, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL, 35294, USA
| | - Shweta Varshney
- Regulatory Biology Laboratory, Salk Institute for Biological Studies, La Jolla, CA, 92037, USA
- Department of Biology, Molecular Biology Institute, San Diego State University, San Diego, CA, 92182, USA
| | - Hiep D Le
- Regulatory Biology Laboratory, Salk Institute for Biological Studies, La Jolla, CA, 92037, USA
| | - Stephen Barnes
- Department of Pharmacology and Toxicology, University of Alabama at Birmingham, Birmingham, AL, 35294, USA
| | - Satchidananda Panda
- Regulatory Biology Laboratory, Salk Institute for Biological Studies, La Jolla, CA, 92037, USA
| | - Girish C Melkani
- Department of Pathology, Division of Molecular and Cellular Pathology, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL, 35294, USA.
- Department of Biology, Molecular Biology Institute, San Diego State University, San Diego, CA, 92182, USA.
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11
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Leahy SN, Song C, Vita DJ, Broadie K. FMRP activity and control of Csw/SHP2 translation regulate MAPK-dependent synaptic transmission. PLoS Biol 2023; 21:e3001969. [PMID: 36701299 PMCID: PMC9879533 DOI: 10.1371/journal.pbio.3001969] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Accepted: 12/16/2022] [Indexed: 01/27/2023] Open
Abstract
Noonan syndrome (NS) and NS with multiple lentigines (NSML) cognitive dysfunction are linked to SH2 domain-containing protein tyrosine phosphatase-2 (SHP2) gain-of-function (GoF) and loss-of-function (LoF), respectively. In Drosophila disease models, we find both SHP2 mutations from human patients and corkscrew (csw) homolog LoF/GoF elevate glutamatergic transmission. Cell-targeted RNAi and neurotransmitter release analyses reveal a presynaptic requirement. Consistently, all mutants exhibit reduced synaptic depression during high-frequency stimulation. Both LoF and GoF mutants also show impaired synaptic plasticity, including reduced facilitation, augmentation, and post-tetanic potentiation. NS/NSML diseases are characterized by elevated MAPK/ERK signaling, and drugs suppressing this signaling restore normal neurotransmission in mutants. Fragile X syndrome (FXS) is likewise characterized by elevated MAPK/ERK signaling. Fragile X Mental Retardation Protein (FMRP) binds csw mRNA and neuronal Csw protein is elevated in Drosophila fragile X mental retardation 1 (dfmr1) nulls. Moreover, phosphorylated ERK (pERK) is increased in dfmr1 and csw null presynaptic boutons. We find presynaptic pERK activation in response to stimulation is reduced in dfmr1 and csw nulls. Trans-heterozygous csw/+; dfmr1/+ recapitulate elevated presynaptic pERK activation and function, showing FMRP and Csw/SHP2 act within the same signaling pathway. Thus, a FMRP and SHP2 MAPK/ERK regulative mechanism controls basal and activity-dependent neurotransmission strength.
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Affiliation(s)
- Shannon N. Leahy
- Department of Biological Sciences, Vanderbilt University and Medical Center, Nashville, Tennessee, United States of America
| | - Chunzhu Song
- Department of Biological Sciences, Vanderbilt University and Medical Center, Nashville, Tennessee, United States of America
| | - Dominic J. Vita
- Department of Biological Sciences, Vanderbilt University and Medical Center, Nashville, Tennessee, United States of America
| | - Kendal Broadie
- Department of Biological Sciences, Vanderbilt University and Medical Center, Nashville, Tennessee, United States of America
- Department of Cell and Developmental Biology, Vanderbilt University and Medical Center, Nashville, Tennessee, United States of America
- Department of Pharmacology, Vanderbilt University and Medical Center, Nashville, Tennessee, United States of America
- Vanderbilt Brain Institute, Vanderbilt University and Medical Center, Nashville, Tennessee, United States of America
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12
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Barwell T, Seroude L. Protocol to measure ß-galactosidase in Drosophila extracts using a CPRG assay. STAR Protoc 2022; 3:101843. [PMID: 36595888 PMCID: PMC9667300 DOI: 10.1016/j.xpro.2022.101843] [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: 08/17/2022] [Revised: 09/14/2022] [Accepted: 10/19/2022] [Indexed: 11/14/2022] Open
Abstract
The quantification of ß-galactosidase activity is routinely required by laboratories worldwide. We present a cost-effective, highly replicable, simple technique for quantifying ß-galactosidase-specific activity from crude extracts made from whole organisms or dissected tissues or cells. Extracts are prepared and measured without the need for any specialized equipment, and tissue is ground manually by pestle and measured by colorimetric CPRG and Bradford assays. This protocol describes the assay using Drosophila extracts but could be applied to any biological system of interest. For complete details on the use and execution of this protocol, please refer to Seroude et al. (2002),1 Poirier et al. (2008),2 and Barwell et al. (2017).3.
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Affiliation(s)
- Taylor Barwell
- Queen’s University, Kingston, ON K7L 3N6, Canada,Corresponding author
| | - Laurent Seroude
- Queen’s University, Kingston, ON K7L 3N6, Canada,Corresponding author
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13
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Al-Sabri MH, Behare N, Alsehli AM, Berkins S, Arora A, Antoniou E, Moysiadou EI, Anantha-Krishnan S, Cosmen PD, Vikner J, Moulin TC, Ammar N, Boukhatmi H, Clemensson LE, Rask-Andersen M, Mwinyi J, Williams MJ, Fredriksson R, Schiöth HB. Statins Induce Locomotion and Muscular Phenotypes in Drosophila melanogaster That Are Reminiscent of Human Myopathy: Evidence for the Role of the Chloride Channel Inhibition in the Muscular Phenotypes. Cells 2022; 11:3528. [PMID: 36428957 PMCID: PMC9688544 DOI: 10.3390/cells11223528] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Revised: 10/17/2022] [Accepted: 11/01/2022] [Indexed: 11/09/2022] Open
Abstract
The underlying mechanisms for statin-induced myopathy (SIM) are still equivocal. In this study, we employ Drosophila melanogaster to dissect possible underlying mechanisms for SIM. We observe that chronic fluvastatin treatment causes reduced general locomotion activity and climbing ability. In addition, transmission microscopy of dissected skeletal muscles of fluvastatin-treated flies reveals strong myofibrillar damage, including increased sarcomere lengths and Z-line streaming, which are reminiscent of myopathy, along with fragmented mitochondria of larger sizes, most of which are round-like shapes. Furthermore, chronic fluvastatin treatment is associated with impaired lipid metabolism and insulin signalling. Mechanistically, knockdown of the statin-target Hmgcr in the skeletal muscles recapitulates fluvastatin-induced mitochondrial phenotypes and lowered general locomotion activity; however, it was not sufficient to alter sarcomere length or elicit myofibrillar damage compared to controls or fluvastatin treatment. Moreover, we found that fluvastatin treatment was associated with reduced expression of the skeletal muscle chloride channel, ClC-a (Drosophila homolog of CLCN1), while selective knockdown of skeletal muscle ClC-a also recapitulated fluvastatin-induced myofibril damage and increased sarcomere lengths. Surprisingly, exercising fluvastatin-treated flies restored ClC-a expression and normalized sarcomere lengths, suggesting that fluvastatin-induced myofibrillar phenotypes could be linked to lowered ClC-a expression. Taken together, these results may indicate the potential role of ClC-a inhibition in statin-associated muscular phenotypes. This study underlines the importance of Drosophila melanogaster as a powerful model system for elucidating the locomotion and muscular phenotypes, promoting a better understanding of the molecular mechanisms underlying SIM.
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Affiliation(s)
- Mohamed H. Al-Sabri
- Department of Surgical Sciences, Division of Functional Pharmacology and Neuroscience, Biomedical Center (BMC), Uppsala University, Husargatan 3, 751 24 Uppsala, Sweden
- Department of Pharmaceutical Biosciences, Uppsala University, 751 24 Uppsala, Sweden
| | - Neha Behare
- Department of Surgical Sciences, Division of Functional Pharmacology and Neuroscience, Biomedical Center (BMC), Uppsala University, Husargatan 3, 751 24 Uppsala, Sweden
| | - Ahmed M. Alsehli
- Department of Surgical Sciences, Division of Functional Pharmacology and Neuroscience, Biomedical Center (BMC), Uppsala University, Husargatan 3, 751 24 Uppsala, Sweden
- Faculty of Medicine, King Abdulaziz University and Hospital, Al Ehtifalat St., Jeddah 21589, Saudi Arabia
| | - Samuel Berkins
- Department of Surgical Sciences, Division of Functional Pharmacology and Neuroscience, Biomedical Center (BMC), Uppsala University, Husargatan 3, 751 24 Uppsala, Sweden
| | - Aadeya Arora
- Department of Surgical Sciences, Division of Functional Pharmacology and Neuroscience, Biomedical Center (BMC), Uppsala University, Husargatan 3, 751 24 Uppsala, Sweden
| | - Eirini Antoniou
- Department of Surgical Sciences, Division of Functional Pharmacology and Neuroscience, Biomedical Center (BMC), Uppsala University, Husargatan 3, 751 24 Uppsala, Sweden
| | - Eleni I. Moysiadou
- Department of Surgical Sciences, Division of Functional Pharmacology and Neuroscience, Biomedical Center (BMC), Uppsala University, Husargatan 3, 751 24 Uppsala, Sweden
| | - Sowmya Anantha-Krishnan
- Department of Surgical Sciences, Division of Functional Pharmacology and Neuroscience, Biomedical Center (BMC), Uppsala University, Husargatan 3, 751 24 Uppsala, Sweden
| | - Patricia D. Cosmen
- Department of Surgical Sciences, Division of Functional Pharmacology and Neuroscience, Biomedical Center (BMC), Uppsala University, Husargatan 3, 751 24 Uppsala, Sweden
| | - Johanna Vikner
- Department of Surgical Sciences, Division of Functional Pharmacology and Neuroscience, Biomedical Center (BMC), Uppsala University, Husargatan 3, 751 24 Uppsala, Sweden
| | - Thiago C. Moulin
- Department of Surgical Sciences, Division of Functional Pharmacology and Neuroscience, Biomedical Center (BMC), Uppsala University, Husargatan 3, 751 24 Uppsala, Sweden
- Faculty of Medicine, Department of Experimental Medical Science, Lund University, Sölvegatan 19, BMC F10, 221 84 Lund, Sweden
| | - Nourhene Ammar
- Institut de Génétique et Développement de Rennes (IGDR), Université de Rennes, CNRS, UMR6290, 35065 Rennes, France
| | - Hadi Boukhatmi
- Institut de Génétique et Développement de Rennes (IGDR), Université de Rennes, CNRS, UMR6290, 35065 Rennes, France
| | - Laura E. Clemensson
- Department of Surgical Sciences, Division of Functional Pharmacology and Neuroscience, Biomedical Center (BMC), Uppsala University, Husargatan 3, 751 24 Uppsala, Sweden
| | - Mathias Rask-Andersen
- Department of Immunology, Genetics and Pathology, Uppsala University, 752 37 Uppsala, Sweden
| | - Jessica Mwinyi
- Department of Surgical Sciences, Division of Functional Pharmacology and Neuroscience, Biomedical Center (BMC), Uppsala University, Husargatan 3, 751 24 Uppsala, Sweden
| | - Michael J. Williams
- Department of Surgical Sciences, Division of Functional Pharmacology and Neuroscience, Biomedical Center (BMC), Uppsala University, Husargatan 3, 751 24 Uppsala, Sweden
| | - Robert Fredriksson
- Department of Pharmaceutical Biosciences, Uppsala University, 751 24 Uppsala, Sweden
| | - Helgi B. Schiöth
- Department of Surgical Sciences, Division of Functional Pharmacology and Neuroscience, Biomedical Center (BMC), Uppsala University, Husargatan 3, 751 24 Uppsala, Sweden
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14
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Stow EC, Simmons JR, An R, Schoborg TA, Davenport NM, Labrador M. A Drosophila insulator interacting protein suppresses enhancer-blocking function and modulates replication timing. Gene 2022; 819:146208. [PMID: 35092858 DOI: 10.1016/j.gene.2022.146208] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Revised: 12/17/2021] [Accepted: 01/13/2022] [Indexed: 01/02/2023]
Abstract
Insulators play important roles in genome structure and function in eukaryotes. Interactions between a DNA binding insulator protein and its interacting partner proteins define the properties of each insulator site. The different roles of insulator protein partners in the Drosophila genome and how they confer functional specificity remain poorly understood. The Suppressor of Hairy wing [Su(Hw)] insulator is targeted to the nuclear lamina, preferentially localizes at euchromatin/heterochromatin boundaries, and is associated with the gypsy retrotransposon. Insulator activity relies on the ability of the Su(Hw) protein to bind the DNA at specific sites and interact with Mod(mdg4)67.2 and CP190 partner proteins. HP1 and insulator partner protein 1 (HIPP1) is a partner of Su(Hw), but how HIPP1 contributes to the function of Su(Hw) insulator complexes is unclear. Here, we demonstrate that HIPP1 colocalizes with the Su(Hw) insulator complex in polytene chromatin and in stress-induced insulator bodies. We find that the overexpression of either HIPP1 or Su(Hw) or mutation of the HIPP1 crotonase-like domain (CLD) causes defects in cell proliferation by limiting the progression of DNA replication. We also show that HIPP1 overexpression suppresses the Su(Hw) insulator enhancer-blocking function, while mutation of the HIPP1 CLD does not affect Su(Hw) enhancer blocking. These findings demonstrate a functional relationship between HIPP1 and the Su(Hw) insulator complex and suggest that the CLD, while not involved in enhancer blocking, influences cell cycle progression.
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Affiliation(s)
- Emily C Stow
- Department of Biochemistry and Cellular and Molecular Biology, The University of Tennessee, Knoxville, TN 37996, USA
| | - James R Simmons
- Department of Biochemistry and Cellular and Molecular Biology, The University of Tennessee, Knoxville, TN 37996, USA
| | - Ran An
- Department of Biochemistry and Cellular and Molecular Biology, The University of Tennessee, Knoxville, TN 37996, USA
| | - Todd A Schoborg
- Department of Biochemistry and Cellular and Molecular Biology, The University of Tennessee, Knoxville, TN 37996, USA
| | - Nastasya M Davenport
- Department of Biochemistry and Cellular and Molecular Biology, The University of Tennessee, Knoxville, TN 37996, USA
| | - Mariano Labrador
- Department of Biochemistry and Cellular and Molecular Biology, The University of Tennessee, Knoxville, TN 37996, USA.
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15
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McClure CD, Hassan A, Aughey GN, Butt K, Estacio-Gómez A, Duggal A, Ying Sia C, Barber AF, Southall TD. An auxin-inducible, GAL4-compatible, gene expression system for Drosophila. eLife 2022; 11:e67598. [PMID: 35363137 PMCID: PMC8975555 DOI: 10.7554/elife.67598] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Accepted: 03/27/2022] [Indexed: 01/04/2023] Open
Abstract
The ability to control transgene expression, both spatially and temporally, is essential for studying model organisms. In Drosophila, spatial control is primarily provided by the GAL4/UAS system, whilst temporal control relies on a temperature-sensitive GAL80 (which inhibits GAL4) and drug-inducible systems. However, these are not ideal. Shifting temperature can impact on many physiological and behavioural traits, and the current drug-inducible systems are either leaky, toxic, incompatible with existing GAL4-driver lines, or do not generate effective levels of expression. Here, we describe the auxin-inducible gene expression system (AGES). AGES relies on the auxin-dependent degradation of a ubiquitously expressed GAL80, and therefore, is compatible with existing GAL4-driver lines. Water-soluble auxin is added to fly food at a low, non-lethal, concentration, which induces expression comparable to uninhibited GAL4 expression. The system works in both larvae and adults, providing a stringent, non-lethal, cost-effective, and convenient method for temporally controlling GAL4 activity in Drosophila.
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Affiliation(s)
- Colin D McClure
- Department of Life Sciences, Imperial College LondonLondonUnited Kingdom
| | - Amira Hassan
- Department of Life Sciences, Imperial College LondonLondonUnited Kingdom
| | - Gabriel N Aughey
- Department of Life Sciences, Imperial College LondonLondonUnited Kingdom
| | - Khushbakht Butt
- Waksman Institute and Department of Molecular Biology and Biochemistry, Rutgers, the State University of New JerseyNew BrunswickUnited States
| | | | - Aneisha Duggal
- Department of Life Sciences, Imperial College LondonLondonUnited Kingdom
| | - Chee Ying Sia
- Department of Life Sciences, Imperial College LondonLondonUnited Kingdom
| | - Annika F Barber
- Waksman Institute and Department of Molecular Biology and Biochemistry, Rutgers, the State University of New JerseyNew BrunswickUnited States
| | - Tony D Southall
- Department of Life Sciences, Imperial College LondonLondonUnited Kingdom
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16
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Driesschaert B, Mergan L, Temmerman L. Conditional gene expression in invertebrate animal models. J Genet Genomics 2021; 48:14-31. [PMID: 33814307 DOI: 10.1016/j.jgg.2021.01.005] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Revised: 12/11/2020] [Accepted: 01/08/2021] [Indexed: 10/22/2022]
Abstract
A mechanistic understanding of biology requires appreciating spatiotemporal aspects of gene expression and its functional implications. Conditional expression allows for (ir)reversible switching of genes on or off, with the potential of spatial and/or temporal control. This provides a valuable complement to the more often used constitutive gene (in)activation through mutagenesis, providing tools to answer a wider array of research questions across biological disciplines. Spatial and/or temporal control are granted primarily by (combinations of) specific promoters, temperature regimens, compound addition, or illumination. The use of such genetic tool kits is particularly widespread in invertebrate animal models because they can be applied to study biological processes in short time frames and on large scales, using organisms amenable to easy genetic manipulation. Recent years witnessed an exciting expansion and optimization of such tools, of which we provide a comprehensive overview and discussion regarding their use in invertebrates. The mechanism, applicability, benefits, and drawbacks of each of the systems, as well as further developments to be expected in the foreseeable future, are highlighted.
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Affiliation(s)
- Brecht Driesschaert
- Animal Physiology and Neurobiology, Department of Biology, University of Leuven (KU Leuven), Naamsestraat 59 - Box 2465, B-3000 Leuven, Belgium
| | - Lucas Mergan
- Animal Physiology and Neurobiology, Department of Biology, University of Leuven (KU Leuven), Naamsestraat 59 - Box 2465, B-3000 Leuven, Belgium
| | - Liesbet Temmerman
- Animal Physiology and Neurobiology, Department of Biology, University of Leuven (KU Leuven), Naamsestraat 59 - Box 2465, B-3000 Leuven, Belgium.
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17
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Xia SR, Wen XY, Fan XL, Chen XR, Wei ZW, Li QH, Sun L. Wnt2 overexpression protects against PINK1 mutant‑induced mitochondrial dysfunction and oxidative stress. Mol Med Rep 2020; 21:2633-2641. [PMID: 32323790 DOI: 10.3892/mmr.2020.11066] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2019] [Accepted: 03/12/2020] [Indexed: 11/06/2022] Open
Abstract
The PTEN induced putative kinase 1 (PINK1) mutation is the second most common cause of autosomal recessive adolescent Parkinson's disease (PD). Furthermore, mitochondrial disorders and oxidative stress are important mechanisms in the pathogenesis of PD. Numerous members of the Wnt family have been found to be associated with neurodegenerative diseases. Therefore, the present study investigated the role of the Wnt2 gene in PINK1B9 transgenic flies, which is a PD model, and its underlying mechanism. It was identified that overexpression of Wnt2 reduced the abnormality rate of PD transgenic Drosophila and improved their flight ability, while other intervention groups had no significant effect. Furthermore, an increase in ATP concentration normalized mitochondrial morphology, and increased the mRNA expression levels of NADH‑ubiquinone oxidoreductase chain 1 (ND1), ND42, ND75, succinate dehydrogenase complex subunits B, Cytochrome b and Cyclooxygenase 1, which are associated with Wnt2 overexpression. Moreover, overexpression of Wnt2 in PD transgenic Drosophila resulted in the downregulation of reactive oxygen species and malondialdehyde production, and increased manganese superoxide dismutase (MnSOD), while glutathione was not significantly affected. It was found that overexpression of Wnt2 did not alter the protein expression of β‑catenin in PINK1B9 transgenic Drosophila, but did increase the expression levels of PPARG coactivator 1α (PGC‑1α) and forkhead box sub‑group O (FOXO). Collectively, the present results indicated that the Wnt2 gene may have a protective effect on PD PINK1B9 transgenic Drosophila. Thus, it was speculated that the reduction of oxidative stress and the restoration of mitochondrial function via Wnt2 overexpression may be related to the PGC‑1α/FOXO/MnSOD signaling pathway in PINK1 mutant transgenic Drosophila.
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Affiliation(s)
- Sui-Rui Xia
- Department of Hospital Infection‑Control, Nanxishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, Guangxi 541002, P.R. China
| | - Xue-Yi Wen
- Guangxi Key Laboratory of Brain and Cognitive Neuroscience, Guilin Medical University, Guilin, Guangxi 541004, P.R. China
| | - Xiao-Li Fan
- Faculty of Basic Medical Sciences, Guilin Medical University, Guilin, Guangxi 541004, P.R. China
| | - Xiao-Rong Chen
- Faculty of Basic Medical Sciences, Guilin Medical University, Guilin, Guangxi 541004, P.R. China
| | - Zai-Wa Wei
- Faculty of Basic Medical Sciences, Guilin Medical University, Guilin, Guangxi 541004, P.R. China
| | - Qing-Hua Li
- Guangxi Key Laboratory of Brain and Cognitive Neuroscience, Guilin Medical University, Guilin, Guangxi 541004, P.R. China
| | - Li Sun
- Faculty of Basic Medical Sciences, Guilin Medical University, Guilin, Guangxi 541004, P.R. China
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18
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Expression of Heat Shock Protein 70 Is Insufficient To Extend Drosophila melanogaster Longevity. G3-GENES GENOMES GENETICS 2019; 9:4197-4207. [PMID: 31624139 PMCID: PMC6893204 DOI: 10.1534/g3.119.400782] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
It has been known for over 20 years that Drosophila melanogaster flies with twelve additional copies of the hsp70 gene encoding the 70 kD heat shock protein lives longer after a non-lethal heat treatment. Since the heat treatment also induces the expression of additional heat shock proteins, the biological effect can be due either to HSP70 acting alone or in combination. This study used the UAS/GAL4 system to determine whether hsp70 is sufficient to affect the longevity and the resistance to thermal, oxidative or desiccation stresses of the whole organism. We observed that HSP70 expression in the nervous system or muscles has no effect on longevity or stress resistance but ubiquitous expression reduces the life span of males. We also observed that the down-regulation of hsp70 using RNAi did not affect longevity.
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19
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Sherer LM, Certel SJ. The fight to understand fighting: neurogenetic approaches to the study of aggression in insects. CURRENT OPINION IN INSECT SCIENCE 2019; 36:18-24. [PMID: 31302354 PMCID: PMC6906251 DOI: 10.1016/j.cois.2019.06.004] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/01/2019] [Revised: 05/14/2019] [Accepted: 06/12/2019] [Indexed: 06/10/2023]
Abstract
Aggression is an evolutionarily conserved behavior that evolved in the framework of defending or obtaining resources. When expressed out of context, unchecked aggression can have destructive consequences. Model systems that allow examination of distinct neuronal networks at the molecular, cellular, and circuit levels are adding immensely to our understanding of the biological basis of this behavior and should be relatable to other species up to and including man. Investigators have made particular use of insect models to both describe this quantifiable and stereotyped behavior and to manipulate genes and neuron function via numerous genetic and pharmacological tools. This review discusses recent advances in techniques that improve our ability to identify, manipulate, visualize, and compare the genes, neurons, and circuits that are required for the output of this complex and clinically relevant social behavior.
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Affiliation(s)
- Lewis M Sherer
- Division of Biological Sciences, University of Montana, Missoula, MT 59812, United States
| | - Sarah J Certel
- Division of Biological Sciences, University of Montana, Missoula, MT 59812, United States.
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