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Hrdina A, Serra Canales M, Arias-Rojas A, Frahm D, Iatsenko I. The endosymbiont Spiroplasma poulsonii increases Drosophila melanogaster resistance to pathogens by enhancing iron sequestration and melanization. mBio 2024; 15:e0093624. [PMID: 38940615 PMCID: PMC11323552 DOI: 10.1128/mbio.00936-24] [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: 03/28/2024] [Accepted: 05/28/2024] [Indexed: 06/29/2024] Open
Abstract
Facultative endosymbiotic bacteria, such as Wolbachia and Spiroplasma species, are commonly found in association with insects and can dramatically alter their host physiology. Many endosymbionts are defensive and protect their hosts against parasites or pathogens. Despite the widespread nature of defensive insect symbioses and their importance for the ecology and evolution of insects, the mechanisms of symbiont-mediated host protection remain poorly characterized. Here, we utilized the fruit fly Drosophila melanogaster and its facultative endosymbiont Spiroplasma poulsonii to characterize the mechanisms underlying symbiont-mediated host protection against bacterial and fungal pathogens. Our results indicate a variable effect of S. poulsonii on infection outcome, with endosymbiont-harboring flies being more resistant to Rhyzopus oryzae, Staphylococcus aureus, and Providencia alcalifaciens but more sensitive or as sensitive as endosymbiont-free flies to the infections with Pseudomonas species. Further focusing on the protective effect, we identified Transferrin-mediated iron sequestration induced by Spiroplasma as being crucial for the defense against R. oryzae and P. alcalifaciens. In the case of S. aureus, enhanced melanization in Spiroplasma-harboring flies plays a major role in protection. Both iron sequestration and melanization induced by Spiroplasma require the host immune sensor protease Persephone, suggesting a role of proteases secreted by the symbiont in the activation of host defense reactions. Hence, our work reveals a broader defensive range of Spiroplasma than previously appreciated and adds nutritional immunity and melanization to the defensive arsenal of symbionts. IMPORTANCE Defensive endosymbiotic bacteria conferring protection to their hosts against parasites and pathogens are widespread in insect populations. However, the mechanisms by which most symbionts confer protection are not fully understood. Here, we studied the mechanisms of protection against bacterial and fungal pathogens mediated by the Drosophila melanogaster endosymbiont Spiroplasma poulsonii. We demonstrate that besides the previously described protection against wasps and nematodes, Spiroplasma also confers increased resistance to pathogenic bacteria and fungi. We identified Spiroplasma-induced iron sequestration and melanization as key defense mechanisms. Our work broadens the known defense spectrum of Spiroplasma and reveals a previously unappreciated role of melanization and iron sequestration in endosymbiont-mediated host protection. We propose that the mechanisms we have identified here may be of broader significance and could apply to other endosymbionts, particularly to Wolbachia, and potentially explain their protective properties.
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Affiliation(s)
- Alexandra Hrdina
- Research group Genetics of Host-Microbe Interactions, Max Planck Institute for Infection Biology, Berlin, Germany
- Faculty of Life Sciences, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Marina Serra Canales
- Research group Genetics of Host-Microbe Interactions, Max Planck Institute for Infection Biology, Berlin, Germany
| | - Aranzazu Arias-Rojas
- Research group Genetics of Host-Microbe Interactions, Max Planck Institute for Infection Biology, Berlin, Germany
- Department of Biology, Chemistry, and Pharmacy, Freie Universität Berlin, Berlin, Germany
| | - Dagmar Frahm
- Research group Genetics of Host-Microbe Interactions, Max Planck Institute for Infection Biology, Berlin, Germany
| | - Igor Iatsenko
- Research group Genetics of Host-Microbe Interactions, Max Planck Institute for Infection Biology, Berlin, Germany
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2
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Ben-Hur S, Sernik S, Afar S, Kolpakova A, Politi Y, Gal L, Florentin A, Golani O, Sivan E, Dezorella N, Morgenstern D, Pietrokovski S, Schejter E, Yacobi-Sharon K, Arama E. Egg multivesicular bodies elicit an LC3-associated phagocytosis-like pathway to degrade paternal mitochondria after fertilization. Nat Commun 2024; 15:5715. [PMID: 38977659 PMCID: PMC11231261 DOI: 10.1038/s41467-024-50041-5] [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: 09/20/2023] [Accepted: 06/27/2024] [Indexed: 07/10/2024] Open
Abstract
Mitochondria are maternally inherited, but the mechanisms underlying paternal mitochondrial elimination after fertilization are far less clear. Using Drosophila, we show that special egg-derived multivesicular body vesicles promote paternal mitochondrial elimination by activating an LC3-associated phagocytosis-like pathway, a cellular defense pathway commonly employed against invading microbes. Upon fertilization, these egg-derived vesicles form extended vesicular sheaths around the sperm flagellum, promoting degradation of the sperm mitochondrial derivative and plasma membrane. LC3-associated phagocytosis cascade of events, including recruitment of a Rubicon-based class III PI(3)K complex to the flagellum vesicular sheaths, its activation, and consequent recruitment of Atg8/LC3, are all required for paternal mitochondrial elimination. Finally, lysosomes fuse with strings of large vesicles derived from the flagellum vesicular sheaths and contain degrading fragments of the paternal mitochondrial derivative. Given reports showing that in some mammals, the paternal mitochondria are also decorated with Atg8/LC3 and surrounded by multivesicular bodies upon fertilization, our findings suggest that a similar pathway also mediates paternal mitochondrial elimination in other flagellated sperm-producing organisms.
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Affiliation(s)
- Sharon Ben-Hur
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Shoshana Sernik
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Sara Afar
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Alina Kolpakova
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Yoav Politi
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Liron Gal
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Anat Florentin
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
- Department of Microbiology and Molecular Genetics, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Ofra Golani
- Department of Life Sciences Core Facilities, Weizmann Institute of Science, Rehovot, Israel
| | - Ehud Sivan
- Department of Life Sciences Core Facilities, Weizmann Institute of Science, Rehovot, Israel
| | - Nili Dezorella
- Department of Chemical Research Support, Weizmann Institute of Science, Rehovot, Israel
| | - David Morgenstern
- de Botton Institute for Protein Profiling, The Nancy and Stephen Grand Israel National Center for Personalised Medicine, Weizmann Institute of Science, Rehovot, Israel
| | - Shmuel Pietrokovski
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Eyal Schejter
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Keren Yacobi-Sharon
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Eli Arama
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel.
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3
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Rana V, Peng J, Pan C, Lyu H, Cheng A, Kim M, Milenkovic O. Interpretable online network dictionary learning for inferring long-range chromatin interactions. PLoS Comput Biol 2024; 20:e1012095. [PMID: 38753877 PMCID: PMC11135774 DOI: 10.1371/journal.pcbi.1012095] [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: 12/16/2023] [Revised: 05/29/2024] [Accepted: 04/20/2024] [Indexed: 05/18/2024] Open
Abstract
Dictionary learning (DL), implemented via matrix factorization (MF), is commonly used in computational biology to tackle ubiquitous clustering problems. The method is favored due to its conceptual simplicity and relatively low computational complexity. However, DL algorithms produce results that lack interpretability in terms of real biological data. Additionally, they are not optimized for graph-structured data and hence often fail to handle them in a scalable manner. In order to address these limitations, we propose a novel DL algorithm called online convex network dictionary learning (online cvxNDL). Unlike classical DL algorithms, online cvxNDL is implemented via MF and designed to handle extremely large datasets by virtue of its online nature. Importantly, it enables the interpretation of dictionary elements, which serve as cluster representatives, through convex combinations of real measurements. Moreover, the algorithm can be applied to data with a network structure by incorporating specialized subnetwork sampling techniques. To demonstrate the utility of our approach, we apply cvxNDL on 3D-genome RNAPII ChIA-Drop data with the goal of identifying important long-range interaction patterns (long-range dictionary elements). ChIA-Drop probes higher-order interactions, and produces data in the form of hypergraphs whose nodes represent genomic fragments. The hyperedges represent observed physical contacts. Our hypergraph model analysis has the objective of creating an interpretable dictionary of long-range interaction patterns that accurately represent global chromatin physical contact maps. Through the use of dictionary information, one can also associate the contact maps with RNA transcripts and infer cellular functions. To accomplish the task at hand, we focus on RNAPII-enriched ChIA-Drop data from Drosophila Melanogaster S2 cell lines. Our results offer two key insights. First, we demonstrate that online cvxNDL retains the accuracy of classical DL (MF) methods while simultaneously ensuring unique interpretability and scalability. Second, we identify distinct collections of proximal and distal interaction patterns involving chromatin elements shared by related processes across different chromosomes, as well as patterns unique to specific chromosomes. To associate the dictionary elements with biological properties of the corresponding chromatin regions, we employ Gene Ontology (GO) enrichment analysis and perform multiple RNA coexpression studies.
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Affiliation(s)
- Vishal Rana
- Department of Electrical and Computer Engineering, University of Illinois, Urbana-Champaign, Illinois, United States of America
| | - Jianhao Peng
- Department of Electrical and Computer Engineering, University of Illinois, Urbana-Champaign, Illinois, United States of America
| | - Chao Pan
- Department of Electrical and Computer Engineering, University of Illinois, Urbana-Champaign, Illinois, United States of America
| | - Hanbaek Lyu
- Department of Mathematics, University of Wisconsin - Madison, Madison, Wisconsin, United States of America
| | - Albert Cheng
- School of Biological and Health Systems Engineering, Arizona State University, Phoenix, Arizona, United States of America
| | - Minji Kim
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Olgica Milenkovic
- Department of Electrical and Computer Engineering, University of Illinois, Urbana-Champaign, Illinois, United States of America
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4
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Leitão AB, Arunkumar R, Day JP, Hanna N, Devi A, Hayes MP, Jiggins FM. Recognition of nonself is necessary to activate Drosophila's immune response against an insect parasite. BMC Biol 2024; 22:89. [PMID: 38644510 PMCID: PMC11034056 DOI: 10.1186/s12915-024-01886-1] [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: 07/27/2023] [Accepted: 04/11/2024] [Indexed: 04/23/2024] Open
Abstract
BACKGROUND Innate immune responses can be activated by pathogen-associated molecular patterns (PAMPs), danger signals released by damaged tissues, or the absence of self-molecules that inhibit immunity. As PAMPs are typically conserved across broad groups of pathogens but absent from the host, it is unclear whether they allow hosts to recognize parasites that are phylogenetically similar to themselves, such as parasitoid wasps infecting insects. RESULTS Parasitoids must penetrate the cuticle of Drosophila larvae to inject their eggs. In line with previous results, we found that the danger signal of wounding triggers the differentiation of specialized immune cells called lamellocytes. However, using oil droplets to mimic infection by a parasitoid wasp egg, we found that this does not activate the melanization response. This aspect of the immune response also requires exposure to parasite molecules. The unidentified factor enhances the transcriptional response in hemocytes and induces a specific response in the fat body. CONCLUSIONS We conclude that a combination of danger signals and the recognition of nonself molecules is required to activate Drosophila's immune response against parasitic insects.
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Affiliation(s)
- Alexandre B Leitão
- Department of Genetics, University of Cambridge, Cambridge, UK.
- Champalimaud Foundation, Lisbon, Portugal.
| | | | - Jonathan P Day
- Department of Genetics, University of Cambridge, Cambridge, UK
| | - Nancy Hanna
- Department of Genetics, University of Cambridge, Cambridge, UK
| | - Aarathi Devi
- Department of Genetics, University of Cambridge, Cambridge, UK
- Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Matthew P Hayes
- Department of Zoology, University of Cambridge, Cambridge, UK
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5
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Samuels TJ, Gui J, Gebert D, Karam Teixeira F. Two distinct waves of transcriptome and translatome changes drive Drosophila germline stem cell differentiation. EMBO J 2024; 43:1591-1617. [PMID: 38480936 PMCID: PMC11021484 DOI: 10.1038/s44318-024-00070-z] [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: 11/22/2023] [Revised: 02/22/2024] [Accepted: 02/23/2024] [Indexed: 03/18/2024] Open
Abstract
The tight control of fate transitions during stem cell differentiation is essential for proper tissue development and maintenance. However, the challenges in studying sparsely distributed adult stem cells in a systematic manner have hindered efforts to identify how the multilayered regulation of gene expression programs orchestrates stem cell differentiation in vivo. Here, we synchronised Drosophila female germline stem cell (GSC) differentiation in vivo to perform in-depth transcriptome and translatome analyses at high temporal resolution. This characterisation revealed widespread and dynamic changes in mRNA level, promoter usage, exon inclusion, and translation efficiency. Transient expression of the master regulator, Bam, drives a first wave of expression changes, primarily modifying the cell cycle program. Surprisingly, as Bam levels recede, differentiating cells return to a remarkably stem cell-like transcription and translation program, with a few crucial changes feeding into a second phase driving terminal differentiation to form the oocyte. Altogether, these findings reveal that rather than a unidirectional accumulation of changes, the in vivo differentiation of stem cells relies on distinctly regulated and developmentally sequential waves.
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Affiliation(s)
- Tamsin J Samuels
- Department of Genetics, University of Cambridge, Downing Street, CB2 3EH, Cambridge, UK
- Department of Physiology, Development and Neuroscience, University of Cambridge, Downing Street, CB2 3DY, Cambridge, UK
| | - Jinghua Gui
- Department of Genetics, University of Cambridge, Downing Street, CB2 3EH, Cambridge, UK
| | - Daniel Gebert
- Department of Genetics, University of Cambridge, Downing Street, CB2 3EH, Cambridge, UK
- Department of Physiology, Development and Neuroscience, University of Cambridge, Downing Street, CB2 3DY, Cambridge, UK
| | - Felipe Karam Teixeira
- Department of Genetics, University of Cambridge, Downing Street, CB2 3EH, Cambridge, UK.
- Department of Physiology, Development and Neuroscience, University of Cambridge, Downing Street, CB2 3DY, Cambridge, UK.
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6
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Vesala L, Basikhina Y, Tuomela T, Nurminen A, Siukola E, Vale PF, Salminen TS. Mitochondrial perturbation in immune cells enhances cell-mediated innate immunity in Drosophila. BMC Biol 2024; 22:60. [PMID: 38475850 DOI: 10.1186/s12915-024-01858-5] [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: 08/31/2023] [Accepted: 02/28/2024] [Indexed: 03/14/2024] Open
Abstract
BACKGROUND Mitochondria participate in various cellular processes including energy metabolism, apoptosis, autophagy, production of reactive oxygen species, stress responses, inflammation and immunity. However, the role of mitochondrial metabolism in immune cells and tissues shaping the innate immune responses are not yet fully understood. We investigated the effects of tissue-specific mitochondrial perturbation on the immune responses at the organismal level. Genes for oxidative phosphorylation (OXPHOS) complexes cI-cV were knocked down in the fruit fly Drosophila melanogaster, targeting the two main immune tissues, the fat body and the immune cells (hemocytes). RESULTS While OXPHOS perturbation in the fat body was detrimental, hemocyte-specific perturbation led to an enhanced immunocompetence. This was accompanied by the formation of melanized hemocyte aggregates (melanotic nodules), a sign of activation of cell-mediated innate immunity. Furthermore, the hemocyte-specific OXPHOS perturbation induced immune activation of hemocytes, resulting in an infection-like hemocyte profile and an enhanced immune response against parasitoid wasp infection. In addition, OXPHOS perturbation in hemocytes resulted in mitochondrial membrane depolarization and upregulation of genes associated with the mitochondrial unfolded protein response. CONCLUSIONS Overall, we show that while the effects of mitochondrial perturbation on immune responses are highly tissue-specific, mild mitochondrial dysfunction can be beneficial in immune-challenged individuals and contributes to variation in infection outcomes among individuals.
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Affiliation(s)
- Laura Vesala
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Department of Molecular Biology, Umeå University, Umeå, Sweden
| | - Yuliya Basikhina
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Tea Tuomela
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Anssi Nurminen
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Emilia Siukola
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Pedro F Vale
- Institute of Ecology and Evolution, School of Biological Sciences, University of Edinburgh, Edinburgh, UK
| | - Tiina S Salminen
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
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7
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Hikawa N, Kashio S, Miura M. Mating-induced increase of kynurenine in Drosophila ovary enhances starvation resistance of progeny. J Biol Chem 2024; 300:105663. [PMID: 38246353 PMCID: PMC10882137 DOI: 10.1016/j.jbc.2024.105663] [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] [Received: 05/15/2023] [Revised: 01/05/2024] [Accepted: 01/09/2024] [Indexed: 01/23/2024] Open
Abstract
The maternal nutritional environment can impact progeny development, stress tolerance, and longevity. Such phenotypic variation of offspring resulting from the maternal environment is often referred to as the 'maternal effect' and is observed across taxa, including in humans. While some mechanisms behind maternal effects have been revealed, such as histone modification, many studies rely on drastic genetic or nutritional manipulation in describing these mechanisms. Here we aimed to reveal how the maternal environment is regulated under physiological conditions to affect the progeny. Specifically, we detailed metabolic regulation in oocytes in response to mating using Drosophila melanogaster fruit flies. Using liquid chromatography-mass spectrometry, we found that upon mating, the ovary metabolites shifted, predominantly toward increasing amino acids and the tryptophan/kynurenine (Kyn) pathway. This mating-induced increase in ovary Kyn was driven by increased Kyn production in the fat body, a functional counterpart of the mammalian liver and white adipose tissue and the source of Kyn storage for the ovary after mating. Furthermore, we show that maternal Kyn repression decreased the starvation resistance of progeny and that administering exogenous Kyn to the maternal generation enhanced the starvation resistance of female progeny. Taken together, these findings point to a previously unidentified role of fat body Kyn distribution during reproduction on progeny survival.
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Affiliation(s)
- Naoto Hikawa
- Department of Genetics, Graduate School of Pharmaceutical Sciences, The University of Tokyo, Bunkyo-ku, Tokyo, Japan
| | - Soshiro Kashio
- Department of Genetics, Graduate School of Pharmaceutical Sciences, The University of Tokyo, Bunkyo-ku, Tokyo, Japan.
| | - Masayuki Miura
- Department of Genetics, Graduate School of Pharmaceutical Sciences, The University of Tokyo, Bunkyo-ku, Tokyo, Japan.
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Güneş M, Yalçın B, Burgazlı AY, Tagorti G, Yavuz E, Akarsu E, Kaya N, Marcos R, Kaya B. Morphologically different hydroxyapatite nanoparticles exert differential genotoxic effects in Drosophila. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 904:166556. [PMID: 37633389 DOI: 10.1016/j.scitotenv.2023.166556] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 08/03/2023] [Accepted: 08/23/2023] [Indexed: 08/28/2023]
Abstract
Hydroxyapatite (HAP) occurs naturally in sedimentary and metamorphic rocks and constitutes the hard structures in many organisms. Since synthetic nano-sized HAP (HAP-NPs) are used in orthopedic applications and for heavy metal remediation in aquatic and terrestrial media, both environment and humans are exposed to them. Due to the concerns about their potential hazards, the genotoxic effects that round/rod forms of HAP-NPs were investigated in Drosophila using the wing-spot and the comet assays. Furthermore, caspase activities were evaluated to examine the activation of cell death pathways. As a novelty, the expression of 36 genes involved in DNA repair was investigated, as a tool to indirectly determine DNA damage induction. Obtained sizes were 35-60 nm (roundHAP-NPs) and 45-90 nm (rodHAP-NPs) with a low Zeta-potential (-1.65 and 0.37 mV, respectively). Genotoxicity was detected in the wing-spot (round form), and in the comet assay (round and rod-like HA-NPs). In addition, increased expression of Caspases 3/7, 8, and 9 activities were observed. For both HAP forms, increased changes in the expression were observed for mismatch repair genes, while decreased expression was observed for genes involved in ATM, ATR, and cell cycle pathways. The observed changes in the repair pathways would reinforce the view that HAP-NPs have genotoxic potential, although more markedly in the round form. Thus, the environmental presence of engineered nanoparticles, including HAPs, raises concerns about potential effects on human health. It is essential that the effects of their use are carefully assessed and monitored to ensure safety and to mitigate any potential adverse effects.
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Affiliation(s)
- Merve Güneş
- Department of Biology, Faculty of Sciences, Akdeniz University, Antalya, Turkey
| | - Burçin Yalçın
- Department of Biology, Faculty of Sciences, Akdeniz University, Antalya, Turkey
| | | | - Ghada Tagorti
- Department of Biology, Faculty of Sciences, Akdeniz University, Antalya, Turkey
| | - Emre Yavuz
- Department of Chemistry, Faculty of Sciences, Akdeniz University, Antalya, Turkey
| | - Esin Akarsu
- Department of Chemistry, Faculty of Sciences, Akdeniz University, Antalya, Turkey
| | - Nuray Kaya
- Department of Biology, Faculty of Sciences, Akdeniz University, Antalya, Turkey
| | - Ricard Marcos
- Department of Genetics and Microbiology, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Spain.
| | - Bülent Kaya
- Department of Biology, Faculty of Sciences, Akdeniz University, Antalya, Turkey.
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9
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Mohr SE, Kim AR, Hu Y, Perrimon N. Finding information about uncharacterized Drosophila melanogaster genes. Genetics 2023; 225:iyad187. [PMID: 37933691 PMCID: PMC10697813 DOI: 10.1093/genetics/iyad187] [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: 07/31/2023] [Accepted: 10/02/2023] [Indexed: 11/08/2023] Open
Abstract
Genes that have been identified in the genome but remain uncharacterized with regards to function offer an opportunity to uncover novel biological information. Novelty is exciting but can also be a barrier. If nothing is known, how does one start planning and executing experiments? Here, we provide a recommended information-mining workflow and a corresponding guide to accessing information about uncharacterized Drosophila melanogaster genes, such as those assigned only a systematic coding gene identifier. The available information can provide insights into where and when the gene is expressed, what the function of the gene might be, whether there are similar genes in other species, whether there are known relationships to other genes, and whether any other features have already been determined. In addition, available information about relevant reagents can inspire and facilitate experimental studies. Altogether, mining available information can help prioritize genes for further study, as well as provide starting points for experimental assays and other analyses.
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Affiliation(s)
- Stephanie E Mohr
- Department of Genetics, Blavatnik Institute, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, MA 02115, USA
| | - Ah-Ram Kim
- Department of Genetics, Blavatnik Institute, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, MA 02115, USA
| | - Yanhui Hu
- Department of Genetics, Blavatnik Institute, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, MA 02115, USA
| | - Norbert Perrimon
- Department of Genetics, Blavatnik Institute, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, MA 02115, USA
- Howard Hughes Medical Institute, Boston, MA 02115, USA
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10
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Burghardt E, Rakijas J, Tyagi A, Majumder P, Olson BJSC, McDonald JA. Transcriptome analysis reveals temporally regulated genetic networks during Drosophila border cell collective migration. BMC Genomics 2023; 24:728. [PMID: 38041052 PMCID: PMC10693066 DOI: 10.1186/s12864-023-09839-8] [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: 09/28/2023] [Accepted: 11/24/2023] [Indexed: 12/03/2023] Open
Abstract
BACKGROUND Collective cell migration underlies many essential processes, including sculpting organs during embryogenesis, wound healing in the adult, and metastasis of cancer cells. At mid-oogenesis, Drosophila border cells undergo collective migration. Border cells round up into a small group at the pre-migration stage, detach from the epithelium and undergo a dynamic and highly regulated migration at the mid-migration stage, and stop at the oocyte, their final destination, at the post-migration stage. While specific genes that promote cell signaling, polarization of the cluster, formation of protrusions, and cell-cell adhesion are known to regulate border cell migration, there may be additional genes that promote these distinct active phases of border cell migration. Therefore, we sought to identify genes whose expression patterns changed during border cell migration. RESULTS We performed RNA-sequencing on border cells isolated at pre-, mid-, and post-migration stages. We report that 1,729 transcripts, in nine co-expression gene clusters, are temporally and differentially expressed across the three migration stages. Gene ontology analyses and constructed protein-protein interaction networks identified genes expected to function in collective migration, such as regulators of the cytoskeleton, adhesion, and tissue morphogenesis, but also uncovered a notable enrichment of genes involved in immune signaling, ribosome biogenesis, and stress responses. Finally, we validated the in vivo expression and function of a subset of identified genes in border cells. CONCLUSIONS Overall, our results identified differentially and temporally expressed genetic networks that may facilitate the efficient development and migration of border cells. The genes identified here represent a wealth of new candidates to investigate the molecular nature of dynamic collective cell migrations in developing tissues.
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Affiliation(s)
- Emily Burghardt
- Division of Biology, Kansas State University, 116 Ackert Hall, 1717 Claflin Rd, Manhattan, KS, 66506, USA
| | - Jessica Rakijas
- Division of Biology, Kansas State University, 116 Ackert Hall, 1717 Claflin Rd, Manhattan, KS, 66506, USA
| | - Antariksh Tyagi
- Division of Biology, Kansas State University, 116 Ackert Hall, 1717 Claflin Rd, Manhattan, KS, 66506, USA
| | - Pralay Majumder
- Department of Life Sciences, Presidency University, Kolkata, 700073, West Bengal, India
| | - Bradley J S C Olson
- Division of Biology, Kansas State University, 116 Ackert Hall, 1717 Claflin Rd, Manhattan, KS, 66506, USA.
| | - Jocelyn A McDonald
- Division of Biology, Kansas State University, 116 Ackert Hall, 1717 Claflin Rd, Manhattan, KS, 66506, USA.
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11
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Ahmed OM, Crocker A, Murthy M. Transcriptional profiling of Drosophila male-specific P1 (pC1) neurons. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.07.566045. [PMID: 37986870 PMCID: PMC10659367 DOI: 10.1101/2023.11.07.566045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2023]
Abstract
In Drosophila melanogaster, the P1 (pC1) cluster of male-specific neurons both integrates sensory cues and drives or modulates behavioral programs such as courtship, in addition to contributing to a social arousal state. The behavioral function of these neurons is linked to the genes they express, which underpin their capacity for synaptic signaling, neuromodulation, and physiology. Yet, P1 (pC1) neurons have not been fully characterized at the transcriptome level. Moreover, it is unknown how the molecular landscape of P1 (pC1) neurons acutely changes after flies engage in social behaviors, where baseline P1 (pC1) neural activity is expected to increase. To address these two gaps, we use single cell-type RNA sequencing to profile and compare the transcriptomes of P1 (pC1) neurons harvested from socially paired versus solitary male flies. Compared to control transcriptome datasets, we find that P1 (pC1) neurons are enriched in 2,665 genes, including those encoding receptors, neuropeptides, and cell-adhesion molecules (dprs/DIPs). Furthermore, courtship is characterized by changes in ~300 genes, including those previously implicated in regulating behavior (e.g. DopEcR, Octβ3R, Fife, kairos, rad). Finally, we identify a suite of genes that link conspecific courtship with the innate immune system. Together, these data serve as a molecular map for future studies of an important set of higher-order and sexually-dimorphic neurons.
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Affiliation(s)
- Osama M Ahmed
- Princeton Neuroscience Institute, Princeton University, Princeton, NJ 08540, USA
- Department of Psychology, University of Washington, Seattle, WA 98105, USA
| | - Amanda Crocker
- Princeton Neuroscience Institute, Princeton University, Princeton, NJ 08540, USA
- Program in Neuroscience, Middlebury College, Middlebury, VT 05753, USA
| | - Mala Murthy
- Princeton Neuroscience Institute, Princeton University, Princeton, NJ 08540, USA
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12
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Diaz AV, Stephenson D, Nemkov T, D’Alessandro A, Reis T. Spenito-dependent metabolic sexual dimorphism intrinsic to fat storage cells. Genetics 2023; 225:iyad164. [PMID: 37738330 PMCID: PMC10627258 DOI: 10.1093/genetics/iyad164] [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: 06/05/2023] [Accepted: 08/16/2023] [Indexed: 09/24/2023] Open
Abstract
Metabolism in males and females is distinct. Differences are usually linked to sexual reproduction, with circulating signals (e.g. hormones) playing major roles. In contrast, sex differences prior to sexual maturity and intrinsic to individual metabolic tissues are less understood. We analyzed Drosophila melanogaster larvae and find that males store more fat than females, the opposite of the sexual dimorphism in adults. We show that metabolic differences are intrinsic to the major fat storage tissue, including many differences in the expression of metabolic genes. Our previous work identified fat storage roles for Spenito (Nito), a conserved RNA-binding protein and regulator of sex determination. Nito knockdown specifically in the fat storage tissue abolished fat differences between males and females. We further show that Nito is required for sex-specific expression of the master regulator of sex determination, Sex-lethal (Sxl). "Feminization" of fat storage cells via tissue-specific overexpression of a Sxl target gene made larvae lean, reduced the fat differences between males and females, and induced female-like metabolic gene expression. Altogether, this study supports a model in which Nito autonomously controls sexual dimorphisms and differential expression of metabolic genes in fat cells in part through its regulation of the sex determination pathway.
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Affiliation(s)
- Arely V Diaz
- Division of Endocrinology, Metabolism and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Daniel Stephenson
- Department of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - Travis Nemkov
- Department of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - Angelo D’Alessandro
- Department of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - Tânia Reis
- Division of Endocrinology, Metabolism and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
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13
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Zhao A, Varady S, O'Kelley-Bangsberg M, Deng V, Platenkamp A, Wijngaard P, Bern M, Gormley W, Kushkowski E, Thompson K, Tibbetts L, Conner AT, Noeckel D, Teran A, Ritz A, Applewhite DA. From network analysis to experimental validation: identification of regulators of non-muscle myosin II contractility using the folded-gastrulation signaling pathway. BMC Mol Cell Biol 2023; 24:32. [PMID: 37821823 PMCID: PMC10568788 DOI: 10.1186/s12860-023-00492-3] [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: 07/04/2023] [Accepted: 09/29/2023] [Indexed: 10/13/2023] Open
Abstract
The morphogenetic process of apical constriction, which relies on non-muscle myosin II (NMII) generated constriction of apical domains of epithelial cells, is key to the development of complex cellular patterns. Apical constriction occurs in almost all multicellular organisms, but one of the most well-characterized systems is the Folded-gastrulation (Fog)-induced apical constriction that occurs in Drosophila. The binding of Fog to its cognizant receptors Mist/Smog results in a signaling cascade that leads to the activation of NMII-generated contractility. Despite our knowledge of key molecular players involved in Fog signaling, we sought to explore whether other proteins have an undiscovered role in its regulation. We developed a computational method to predict unidentified candidate NMII regulators using a network of pairwise protein-protein interactions called an interactome. We first constructed a Drosophila interactome of over 500,000 protein-protein interactions from several databases that curate high-throughput experiments. Next, we implemented several graph-based algorithms that predicted 14 proteins potentially involved in Fog signaling. To test these candidates, we used RNAi depletion in combination with a cellular contractility assay in Drosophila S2R + cells, which respond to Fog by contracting in a stereotypical manner. Of the candidates we screened using this assay, two proteins, the serine/threonine phosphatase Flapwing and the putative guanylate kinase CG11811 were demonstrated to inhibit cellular contractility when depleted, suggestive of their roles as novel regulators of the Fog pathway.
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Affiliation(s)
- Andy Zhao
- Reed College Department of Biology, 3203 SE Woodstock Blvd, Portland, OR, 97202, USA
| | - Sophia Varady
- Reed College Department of Biology, 3203 SE Woodstock Blvd, Portland, OR, 97202, USA
| | | | - Vicki Deng
- Reed College Department of Biology, 3203 SE Woodstock Blvd, Portland, OR, 97202, USA
| | - Amy Platenkamp
- Reed College Department of Biology, 3203 SE Woodstock Blvd, Portland, OR, 97202, USA
| | - Petra Wijngaard
- Reed College Department of Biology, 3203 SE Woodstock Blvd, Portland, OR, 97202, USA
| | - Miriam Bern
- Reed College Department of Biology, 3203 SE Woodstock Blvd, Portland, OR, 97202, USA
| | - Wyatt Gormley
- Reed College Department of Biology, 3203 SE Woodstock Blvd, Portland, OR, 97202, USA
| | - Elaine Kushkowski
- Reed College Department of Biology, 3203 SE Woodstock Blvd, Portland, OR, 97202, USA
| | - Kat Thompson
- Reed College Department of Biology, 3203 SE Woodstock Blvd, Portland, OR, 97202, USA
| | - Logan Tibbetts
- Reed College Department of Biology, 3203 SE Woodstock Blvd, Portland, OR, 97202, USA
| | - A Tamar Conner
- Reed College Department of Biology, 3203 SE Woodstock Blvd, Portland, OR, 97202, USA
| | - David Noeckel
- Reed College Department of Biology, 3203 SE Woodstock Blvd, Portland, OR, 97202, USA
| | - Aidan Teran
- Reed College Department of Biology, 3203 SE Woodstock Blvd, Portland, OR, 97202, USA
| | - Anna Ritz
- Reed College Department of Biology, 3203 SE Woodstock Blvd, Portland, OR, 97202, USA.
| | - Derek A Applewhite
- Reed College Department of Biology, 3203 SE Woodstock Blvd, Portland, OR, 97202, USA.
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14
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Wippich F, Vaishali, Hennrich ML, Ephrussi A. Nutritional stress-induced regulation of microtubule organization and mRNP transport by HDAC1 controlled α-tubulin acetylation. Commun Biol 2023; 6:776. [PMID: 37491525 PMCID: PMC10368696 DOI: 10.1038/s42003-023-05138-w] [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: 10/14/2020] [Accepted: 07/12/2023] [Indexed: 07/27/2023] Open
Abstract
In response to nutritional stress, microtubules in cells of the Drosophila female germline are depleted from the cytoplasm and accumulate cortically. This triggers aggregation of mRNPs into large processing bodies (P-bodies) and oogenesis arrest. Here, we show that hyperacetylation of α-tubulin at lysine 40 (K40) alters microtubule dynamics and P-body formation. We found that depletion of histone deacetylase 1 (HDAC1) by RNAi phenocopies the nutritional stress response, causing α-tubulin hyperacetylation and accumulation of maternally deposited mRNPs in P-bodies. Through in vitro and in vivo studies, we identify HDAC1 as a direct regulator of α-tubulin K40 acetylation status. In well-fed flies, HDAC1 maintains low levels of α-tubulin acetylation, enabling the microtubule dynamics required for mRNP transport. Using quantitative phosphoproteomics we identify nutritional stress-induced changes in protein phosphorylation that act upstream of α-tubulin acetylation, including phosphorylation of HDAC1 at S391, which reduces its ability to deacetylate α-tubulin. These results reveal that Drosophila HDAC1 senses and relays the nutritional status, which regulates germline development through modulation of cytoskeleton dynamics.
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Affiliation(s)
- Frank Wippich
- Developmental Biology Unit, European Molecular Biology Laboratory (EMBL) Heidelberg, Meyerhofstrasse 1, Heidelberg, 69117, Germany
- Cellzome GmbH, GlaxoSmithKline, Heidelberg, Germany
| | - Vaishali
- Developmental Biology Unit, European Molecular Biology Laboratory (EMBL) Heidelberg, Meyerhofstrasse 1, Heidelberg, 69117, Germany
- Department of Cell and Developmental Biology, University College London, Gower Street, London, WC1E 6BT, UK
| | - Marco L Hennrich
- Structural and Computational Biology Unit, European Molecular Biology Laboratory (EMBL) Heidelberg, Meyerhofstrasse 1, Heidelberg, 69117, Germany
- Cellzome GmbH, GlaxoSmithKline, Heidelberg, Germany
| | - Anne Ephrussi
- Developmental Biology Unit, European Molecular Biology Laboratory (EMBL) Heidelberg, Meyerhofstrasse 1, Heidelberg, 69117, Germany.
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15
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Everman ER, Macdonald SJ. Gene expression variation underlying tissue-specific responses to copper stress in Drosophila melanogaster. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.07.12.548746. [PMID: 37503205 PMCID: PMC10370140 DOI: 10.1101/2023.07.12.548746] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/29/2023]
Abstract
Copper is one of a handful of biologically necessary heavy metals that is also a common environmental pollutant. Under normal conditions, copper ions are required for many key physiological processes. However, in excess, copper quickly results in cell and tissue damage that can range in severity from temporary injury to permanent neurological damage. Because of its biological relevance, and because many conserved copper-responsive genes also respond to other non-essential heavy metal pollutants, copper resistance in Drosophila melanogaster is a useful model system with which to investigate the genetic control of the response to heavy metal stress. Because heavy metal toxicity has the potential to differently impact specific tissues, we genetically characterized the control of the gene expression response to copper stress in a tissue-specific manner in this study. We assessed the copper stress response in head and gut tissue of 96 inbred strains from the Drosophila Synthetic Population Resource (DSPR) using a combination of differential expression analysis and expression quantitative trait locus (eQTL) mapping. Differential expression analysis revealed clear patterns of tissue-specific expression, primarily driven by a more pronounced gene expression response in gut tissue. eQTL mapping of gene expression under control and copper conditions as well as for the change in gene expression following copper exposure (copper response eQTL) revealed hundreds of genes with tissue-specific local cis-eQTL and many distant trans-eQTL. eQTL associated with MtnA, Mdr49, Mdr50, and Sod3 exhibited genotype by environment effects on gene expression under copper stress, illuminating several tissue- and treatment-specific patterns of gene expression control. Together, our data build a nuanced description of the roles and interactions between allelic and expression variation in copper-responsive genes, provide valuable insight into the genomic architecture of susceptibility to metal toxicity, and highlight many candidate genes for future functional characterization.
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Affiliation(s)
- Elizabeth R Everman
- 1200 Sunnyside Ave, University of Kansas, Molecular Biosciences, Lawrence, KS 66045, USA
- 730 Van Vleet Oval, University of Oklahoma, Biology, Norman, OK 73019, USA
| | - Stuart J Macdonald
- 1200 Sunnyside Ave, University of Kansas, Molecular Biosciences, Lawrence, KS 66045, USA
- 1200 Sunnyside Ave, University of Kansas, Center for Computational Biology, Lawrence, KS 66045, USA
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16
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Titlow JS, Kiourlappou M, Palanca A, Lee JY, Gala DS, Ennis D, Yu JJ, Young FL, Susano Pinto DM, Garforth S, Francis HS, Strivens F, Mulvey H, Dallman-Porter A, Thornton S, Arman D, Millard MJ, Järvelin AI, Thompson MK, Sargent M, Kounatidis I, Parton RM, Taylor S, Davis I. Systematic analysis of YFP traps reveals common mRNA/protein discordance in neural tissues. J Cell Biol 2023; 222:e202205129. [PMID: 37145332 PMCID: PMC10165541 DOI: 10.1083/jcb.202205129] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2022] [Revised: 11/11/2022] [Accepted: 12/06/2022] [Indexed: 05/06/2023] Open
Abstract
While post-transcriptional control is thought to be required at the periphery of neurons and glia, its extent is unclear. Here, we investigate systematically the spatial distribution and expression of mRNA at single molecule sensitivity and their corresponding proteins of 200 YFP trap lines across the intact Drosophila nervous system. 97.5% of the genes studied showed discordance between the distribution of mRNA and the proteins they encode in at least one region of the nervous system. These data suggest that post-transcriptional regulation is very common, helping to explain the complexity of the nervous system. We also discovered that 68.5% of these genes have transcripts present at the periphery of neurons, with 9.5% at the glial periphery. Peripheral transcripts include many potential new regulators of neurons, glia, and their interactions. Our approach is applicable to most genes and tissues and includes powerful novel data annotation and visualization tools for post-transcriptional regulation.
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Affiliation(s)
| | | | - Ana Palanca
- Department of Biochemistry, University of Oxford, Oxford, UK
| | - Jeffrey Y. Lee
- Department of Biochemistry, University of Oxford, Oxford, UK
| | - Dalia S. Gala
- Department of Biochemistry, University of Oxford, Oxford, UK
| | - Darragh Ennis
- Department of Biochemistry, University of Oxford, Oxford, UK
| | - Joyce J.S. Yu
- Department of Biochemistry, University of Oxford, Oxford, UK
| | | | | | - Sam Garforth
- Department of Biochemistry, University of Oxford, Oxford, UK
| | | | - Finn Strivens
- Department of Biochemistry, University of Oxford, Oxford, UK
| | - Hugh Mulvey
- Department of Biochemistry, University of Oxford, Oxford, UK
| | | | - Staci Thornton
- Department of Biochemistry, University of Oxford, Oxford, UK
| | - Diana Arman
- Department of Biochemistry, University of Oxford, Oxford, UK
| | | | | | | | - Martin Sargent
- Weatherall Institute for Molecular Medicine, University of Oxford, Oxford, UK
| | | | | | - Stephen Taylor
- Weatherall Institute for Molecular Medicine, University of Oxford, Oxford, UK
| | - Ilan Davis
- Department of Biochemistry, University of Oxford, Oxford, UK
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17
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Talross GJS, Carlson JR. The rich non-coding RNA landscape of the Drosophila antenna. Cell Rep 2023; 42:112482. [PMID: 37167060 PMCID: PMC10431215 DOI: 10.1016/j.celrep.2023.112482] [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: 01/09/2023] [Revised: 03/07/2023] [Accepted: 04/20/2023] [Indexed: 05/13/2023] Open
Abstract
Emerging evidence suggests that long non-coding RNAs (lncRNAs) play diverse and critical roles in neural development, function, and disease. Here, we examine neuronal lncRNAs in a model system that offers enormous advantages for deciphering their functions: the Drosophila olfactory system. This system is numerically simple, its neurons are exquisitely well defined, and it drives multiple complex behaviors. We undertake a comprehensive survey of linear and circular lncRNAs in the Drosophila antenna and identify a wealth of lncRNAs enriched in it. We generate an unprecedented lncRNA-to-neuron map, which reveals that olfactory receptor neurons are defined not only by their receptors but also by the combination of lncRNAs they express. We identify species-specific lncRNAs, including many that are expressed primarily in pheromone-sensing neurons and that may act in modulation of pheromonal responses or in speciation. This resource opens many new opportunities for investigating the roles of lncRNAs in the nervous system.
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Affiliation(s)
- Gaëlle J S Talross
- Department of Molecular, Cellular and Developmental Biology, Yale University, New Haven, CT 06511, USA
| | - John R Carlson
- Department of Molecular, Cellular and Developmental Biology, Yale University, New Haven, CT 06511, USA.
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18
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Ostalé CM, Vega-Cuesta P, González T, López-Varea A, de Celis JF. RNAi screen in the Drosophila wing of genes encoding proteins related to cytoskeleton organization and cell division. Dev Biol 2023; 498:61-76. [PMID: 37015290 DOI: 10.1016/j.ydbio.2023.03.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 03/28/2023] [Accepted: 03/29/2023] [Indexed: 04/04/2023]
Abstract
Cell division and cytoskeleton organization are fundamental processes participating in the development of Drosophila imaginal discs. In this manuscript we describe the phenotypes in the adult fly wing generated by knockdowns of 85% of Drosophila genes encoding proteins likely related to the regulation of cell division and cytoskeleton organization. We also compile a molecular classification of these proteins into classes that describe their expected or known main biochemical characteristics, as well as mRNA expression in the wing disc and likely protein subcellular localization for a subset of these genes. Finally, we analyze in more detail one protein family of cytoskeleton genes (Arp2/3 complex), and define the consequences of interfering with cell division for wing growth and patterning.
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19
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Mendaluk A, Caussinus E, Boutros M, Lehner CF. A genome-wide RNAi screen for genes important for proliferation of cultured Drosophila cells at low temperature identifies the Ball/VRK protein kinase. Chromosoma 2023; 132:31-53. [PMID: 36746786 PMCID: PMC9981717 DOI: 10.1007/s00412-023-00787-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 01/20/2023] [Accepted: 01/23/2023] [Indexed: 02/08/2023]
Abstract
A change in ambient temperature is predicted to disrupt cellular homeostasis by affecting all cellular processes in an albeit non-uniform manner. Diffusion is generally less temperature-sensitive than enzymes, for example, and each enzyme has a characteristic individual temperature profile. The actual effects of temperature variation on cells are still poorly understood at the molecular level. Towards an improved understanding, we have performed a genome-wide RNA interference screen with S2R + cells. This Drosophila cell line proliferates over a temperature range comparable to that tolerated by the parental ectothermic organism. Based on effects on cell counts and cell cycle profile after knockdown at 27 and 17 °C, respectively, genes were identified with an apparent greater physiological significance at one or the other temperature. While 27 °C is close to the temperature optimum, the substantially lower 17 °C was chosen to identify genes important at low temperatures, which have received less attention compared to the heat shock response. Among a substantial number of screen hits, we validated a set successfully in cell culture and selected ballchen for further evaluation in the organism. This gene encodes the conserved metazoan VRK protein kinase that is crucial for the release of chromosomes from the nuclear envelope during mitosis. Our analyses in early embryos and larval wing imaginal discs confirmed a higher requirement for ballchen function at temperatures below the optimum. Overall, our experiments validate the genome-wide screen as a basis for future characterizations of genes with increased physiological significance at the lower end of the readily tolerated temperature range.
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Affiliation(s)
- Anna Mendaluk
- Department of Molecular Life Science (DMLS), University of Zurich, Zurich, Switzerland
| | - Emmanuel Caussinus
- Department of Molecular Life Science (DMLS), University of Zurich, Zurich, Switzerland
| | - Michael Boutros
- Division of Signaling and Functional Genomics, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Heidelberg University, BioQuant, Heidelberg, Germany
| | - Christian F Lehner
- Department of Molecular Life Science (DMLS), University of Zurich, Zurich, Switzerland.
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20
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Palmateer CM, Artikis C, Brovero SG, Friedman B, Gresham A, Arbeitman MN. Single-cell transcriptome profiles of Drosophila fruitless-expressing neurons from both sexes. eLife 2023; 12:e78511. [PMID: 36724009 PMCID: PMC9891730 DOI: 10.7554/elife.78511] [Citation(s) in RCA: 4] [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: 03/09/2022] [Accepted: 01/08/2023] [Indexed: 02/02/2023] Open
Abstract
Drosophila melanogaster reproductive behaviors are orchestrated by fruitless neurons. We performed single-cell RNA-sequencing on pupal neurons that produce sex-specifically spliced fru transcripts, the fru P1-expressing neurons. Uniform Manifold Approximation and Projection (UMAP) with clustering generates an atlas containing 113 clusters. While the male and female neurons overlap in UMAP space, more than half the clusters have sex differences in neuron number, and nearly all clusters display sex-differential expression. Based on an examination of enriched marker genes, we annotate clusters as circadian clock neurons, mushroom body Kenyon cell neurons, neurotransmitter- and/or neuropeptide-producing, and those that express doublesex. Marker gene analyses also show that genes that encode members of the immunoglobulin superfamily of cell adhesion molecules, transcription factors, neuropeptides, neuropeptide receptors, and Wnts have unique patterns of enriched expression across the clusters. In vivo spatial gene expression links to the clusters are examined. A functional analysis of fru P1 circadian neurons shows they have dimorphic roles in activity and period length. Given that most clusters are comprised of male and female neurons indicates that the sexes have fru P1 neurons with common gene expression programs. Sex-specific expression is overlaid on this program, to build the potential for vastly different sex-specific behaviors.
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Affiliation(s)
- Colleen M Palmateer
- Department of Biomedical Sciences, Florida State University, College of MedicineTallahasseeUnited States
| | - Catherina Artikis
- Department of Biomedical Sciences, Florida State University, College of MedicineTallahasseeUnited States
| | - Savannah G Brovero
- Department of Biomedical Sciences, Florida State University, College of MedicineTallahasseeUnited States
| | - Benjamin Friedman
- Department of Biomedical Sciences, Florida State University, College of MedicineTallahasseeUnited States
| | - Alexis Gresham
- Department of Biomedical Sciences, Florida State University, College of MedicineTallahasseeUnited States
| | - Michelle N Arbeitman
- Department of Biomedical Sciences, Florida State University, College of MedicineTallahasseeUnited States
- Program of Neuroscience, Florida State UniversityTallahasseeUnited States
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21
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Kozlov EN, Tokmatcheva EV, Khrustaleva AM, Grebenshchikov ES, Deev RV, Gilmutdinov RA, Lebedeva LA, Zhukova M, Savvateeva-Popova EV, Schedl P, Shidlovskii YV. Long-Term Memory Formation in Drosophila Depends on the 3'UTR of CPEB Gene orb2. Cells 2023; 12:cells12020318. [PMID: 36672258 PMCID: PMC9856895 DOI: 10.3390/cells12020318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Revised: 12/30/2022] [Accepted: 01/12/2023] [Indexed: 01/18/2023] Open
Abstract
Activation of local translation in neurites in response to stimulation is an important step in the formation of long-term memory (LTM). CPEB proteins are a family of translation factors involved in LTM formation. The Drosophila CPEB protein Orb2 plays an important role in the development and function of the nervous system. Mutations of the coding region of the orb2 gene have previously been shown to impair LTM formation. We found that a deletion of the 3'UTR of the orb2 gene similarly results in loss of LTM in Drosophila. As a result of the deletion, the content of the Orb2 protein remained the same in the neuron soma, but significantly decreased in synapses. Using RNA immunoprecipitation followed by high-throughput sequencing, we detected more than 6000 potential Orb2 mRNA targets expressed in the Drosophila brain. Importantly, deletion of the 3'UTR of orb2 mRNA also affected the localization of the Csp, Pyd, and Eya proteins, which are encoded by putative mRNA targets of Orb2. Therefore, the 3'UTR of the orb2 mRNA is important for the proper localization of Orb2 and other proteins in synapses of neurons and the brain as a whole, providing a molecular basis for LTM formation.
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Affiliation(s)
- Eugene N. Kozlov
- Laboratory of Gene Expression Regulation in Development, Institute of Gene Biology, Russian Academy of Sciences, 119334 Moscow, Russia
| | - Elena V. Tokmatcheva
- Institute of Physiology, Russian Academy of Sciences, 188680 St. Petersburg, Russia
| | - Anastasia M. Khrustaleva
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Institute of Gene Biology, Russian Academy of Sciences, 119334 Moscow, Russia
| | - Eugene S. Grebenshchikov
- Department of Biology and General Genetics, Sechenov First Moscow State Medical University (Sechenov University), 119992 Moscow, Russia
| | - Roman V. Deev
- Laboratory of Gene Expression Regulation in Development, Institute of Gene Biology, Russian Academy of Sciences, 119334 Moscow, Russia
| | - Rudolf A. Gilmutdinov
- Laboratory of Gene Expression Regulation in Development, Institute of Gene Biology, Russian Academy of Sciences, 119334 Moscow, Russia
| | - Lyubov A. Lebedeva
- Laboratory of Gene Expression Regulation in Development, Institute of Gene Biology, Russian Academy of Sciences, 119334 Moscow, Russia
| | - Mariya Zhukova
- Laboratory of Gene Expression Regulation in Development, Institute of Gene Biology, Russian Academy of Sciences, 119334 Moscow, Russia
| | | | - Paul Schedl
- Laboratory of Gene Expression Regulation in Development, Institute of Gene Biology, Russian Academy of Sciences, 119334 Moscow, Russia
- Department of Molecular Biology, Princeton University, Princeton University, Princeton, NJ 08544-1014, USA
| | - Yulii V. Shidlovskii
- Laboratory of Gene Expression Regulation in Development, Institute of Gene Biology, Russian Academy of Sciences, 119334 Moscow, Russia
- Department of Biology and General Genetics, Sechenov First Moscow State Medical University (Sechenov University), 119992 Moscow, Russia
- Correspondence:
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22
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Bordet G, Karpova I, Tulin AV. Poly(ADP-ribosyl)ating enzymes cooperate to coordinate development. Sci Rep 2022; 12:22120. [PMID: 36543866 PMCID: PMC9772176 DOI: 10.1038/s41598-022-26530-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Accepted: 12/15/2022] [Indexed: 12/24/2022] Open
Abstract
The transcriptome is subject to rapid and massive changes during the transition between developmental stages. These changes require tight control to avoid the undesired reactivation of gene expression that is only important for previous developmental stages and, if unchecked during transition between developmental stages, could lead to anarchic proliferation and formation of malignant tumors. In this context, the involvement of chromatin factors is important since they can directly regulate the expression of multiple genes at the same time. Poly(ADP-ribose) enzymes, involved in several processes from DNA repair to transcription regulation, might play a role in this regulation. Here, we report that PARP-1 and PARG cooperate to temporally regulate the gene expression profile during the larval/pupa transition. PARP-1 and PARG are both essential in repressing the expression of genes coding for digestive enzymes and larval cuticle proteins, while PARG positively regulate the expression of defense response genes. These results suggest a cooperative coordination between PARP-1 and PARG that specifically maintains the integrity of expression profile between developmental stages.
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Affiliation(s)
- Guillaume Bordet
- grid.266862.e0000 0004 1936 8163Department of Biomedical Sciences, School of Medicine and Health Sciences, University of North Dakota, 501 North Columbia Road, Stop 9061, Grand Forks, ND 58202 USA
| | - Iaroslava Karpova
- grid.266862.e0000 0004 1936 8163Department of Biomedical Sciences, School of Medicine and Health Sciences, University of North Dakota, 501 North Columbia Road, Stop 9061, Grand Forks, ND 58202 USA
| | - Alexei V. Tulin
- grid.266862.e0000 0004 1936 8163Department of Biomedical Sciences, School of Medicine and Health Sciences, University of North Dakota, 501 North Columbia Road, Stop 9061, Grand Forks, ND 58202 USA
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23
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Asgari D, Saski CA, Meisel RP, Nayduch D. Constitutively-expressed and induced immune effectors in the house fly (Musca domestica) and the transcription factors that may regulate them. INSECT MOLECULAR BIOLOGY 2022; 31:782-797. [PMID: 35875866 DOI: 10.1111/imb.12804] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/23/2022] [Accepted: 07/18/2022] [Indexed: 06/15/2023]
Abstract
Insects possess both infection-induced and constitutively expressed innate immune defences. Some effectors, such as lysozymes and antimicrobial peptides (AMPs), are constitutively expressed in flies, but expression patterns vary across tissues and species. The house fly (Musca domestica L.) has an impressive immune repertoire, with more effector genes than any other flies. We used RNA-seq to explore both constitutive and induced expression of immune effectors in flies. House flies were fed either Pseudomonas aeruginosa or Escherichia coli, or sterile control broth, and gene expression in the gut and carcass was analysed 4 h post-feeding. Flies fed either bacterium did not induce AMP expression, but some lysozyme and AMP genes were constitutively expressed. Prior transcriptome data from flies injected with bacteria also were analysed, and these constitutively expressed genes differed from those induced by bacterial injection. Binding sites for the transcription factor Myc were enriched upstream of constitutively expressed AMP genes, while upstream regions of induced AMPs were enriched for NF-κB binding sites resembling those of the Imd-responsive transcription factor Relish. Therefore, we identified at least two expression repertoires for AMPs in the house fly: constitutively expressed genes that may be regulated by Myc, and induced AMPs likely regulated by Relish.
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Affiliation(s)
- Danial Asgari
- Department of Biology and Biochemistry, University of Houston, Houston, Texas, USA
| | - Christopher A Saski
- Department of Plant and Environmental Sciences, Clemson University, Clemson, South Carolina, USA
| | - Richard P Meisel
- Department of Biology and Biochemistry, University of Houston, Houston, Texas, USA
| | - Dana Nayduch
- Arthropod-Borne Animal Diseases Research Unit, United States Department of Agriculture, Agricultural Research Service, Manhattan, Kansas, USA
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24
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Ding SD, Leitão AB, Day JP, Arunkumar R, Phillips M, Zhou SO, Jiggins FM. Trans-regulatory changes underpin the evolution of the Drosophila immune response. PLoS Genet 2022; 18:e1010453. [PMID: 36342922 PMCID: PMC9671443 DOI: 10.1371/journal.pgen.1010453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 11/17/2022] [Accepted: 09/29/2022] [Indexed: 11/09/2022] Open
Abstract
When an animal is infected, the expression of a large suite of genes is changed, resulting in an immune response that can defend the host. Despite much evidence that the sequence of proteins in the immune system can evolve rapidly, the evolution of gene expression is comparatively poorly understood. We therefore investigated the transcriptional response to parasitoid wasp infection in Drosophila simulans and D. sechellia. Although these species are closely related, there has been a large scale divergence in the expression of immune-responsive genes in their two main immune tissues, the fat body and hemocytes. Many genes, including those encoding molecules that directly kill pathogens, have cis regulatory changes, frequently resulting in large differences in their expression in the two species. However, these changes in cis regulation overwhelmingly affected gene expression in immune-challenged and uninfected animals alike. Divergence in the response to infection was controlled in trans. We argue that altering trans-regulatory factors, such as signalling pathways or immune modulators, may allow natural selection to alter the expression of large numbers of immune-responsive genes in a coordinated fashion.
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Affiliation(s)
| | - Alexandre B. Leitão
- Department of Genetics, University of Cambridge, Cambridge, United Kingdom
- Champalimaud Foundation, Lisbon, Portugal
| | - Jonathan P. Day
- Department of Genetics, University of Cambridge, Cambridge, United Kingdom
| | - Ramesh Arunkumar
- Department of Genetics, University of Cambridge, Cambridge, United Kingdom
| | - Morgan Phillips
- Department of Genetics, University of Cambridge, Cambridge, United Kingdom
| | - Shuyu Olivia Zhou
- Department of Genetics, University of Cambridge, Cambridge, United Kingdom
| | - Francis M. Jiggins
- Department of Genetics, University of Cambridge, Cambridge, United Kingdom
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25
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Fuse N, Okamori C, Okaji R, Tang C, Hirai K, Kurata S. Transcriptome features of innate immune memory in Drosophila. PLoS Genet 2022; 18:e1010005. [PMID: 36252180 PMCID: PMC9612818 DOI: 10.1371/journal.pgen.1010005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Revised: 10/27/2022] [Accepted: 10/03/2022] [Indexed: 11/21/2022] Open
Abstract
Immune memory is the ability of organisms to elicit potentiated immune responses at secondary infection. Current studies have revealed that similar to adaptive immunity, innate immunity exhibits memory characteristics (called "innate immune memory"). Although epigenetic reprogramming plays an important role in innate immune memory, the underlying mechanisms have not been elucidated, especially at the individual level. Here, we established experimental systems for detecting innate immune memory in Drosophila melanogaster. Training infection with low-pathogenic bacteria enhanced the survival rate of the flies at subsequent challenge infection with high-pathogenic bacteria. Among low-pathogenic bacteria, Micrococcus luteus (Ml) and Salmonella typhimurium (St) exerted apparent training effects in the fly but exhibited different mechanisms of action. Ml exerted training effects even after its clearance from flies, while live St persisted in the flies for a prolonged duration. RNA sequencing (RNA-Seq) analysis revealed that Ml training enhanced the expression of the immune-related genes under the challenge condition but not under the non-challenge condition. In contrast, St training upregulated the expression of the immune-related genes independent of challenge. These results suggest that training effects with Ml and St are due to memory and persistence of immune responses, respectively. Furthermore, we searched for the gene involved in immune memory, and identified a candidate gene, Ada2b, which encodes a component of the histone modification complex. The Ada2b mutant suppressed Ml training effects on survival and disrupted the expression of some genes under the training + challenge condition. These results suggest that the gene expression regulated by Ada2b may contribute to innate immune memory in Drosophila.
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Affiliation(s)
- Naoyuki Fuse
- Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai, Japan
- * E-mail: (NF); (SK)
| | - Chisaki Okamori
- Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai, Japan
| | - Ryoma Okaji
- Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai, Japan
| | - Chang Tang
- Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai, Japan
| | - Kikuko Hirai
- Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai, Japan
| | - Shoichiro Kurata
- Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai, Japan
- * E-mail: (NF); (SK)
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26
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Matthewman C, Narin A, Huston H, Hopkins CE. Systems to model the personalized aspects of microbiome health and gut dysbiosis. Mol Aspects Med 2022; 91:101115. [PMID: 36104261 DOI: 10.1016/j.mam.2022.101115] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Accepted: 08/03/2022] [Indexed: 01/17/2023]
Abstract
The human gut microbiome is a complex and dynamic microbial entity that interacts with the environment and other parts of the body including the brain, heart, liver, and immune system. These multisystem interactions are highly conserved from invertebrates to humans, however the complexity and diversity of human microbiota compositions often yield a context that is unique to each individual. Yet commonalities remain across species, where a healthy gut microbiome will be rich in symbiotic commensal biota while an unhealthy gut microbiota will be experiencing abnormal blooms of pathobiont bacteria. In this review we discuss how omics technologies can be applied in a personalized approach to understand the microbial crosstalk and microbial-host interactions that affect the delicate balance between eubiosis and dysbiosis in an individual gut microbiome. We further highlight the strengths of model organisms in identifying and characterizing these conserved synergistic and/or pathogenic host-microbe interactions. And finally, we touch upon the growing area of personalized therapeutic interventions targeting gut microbiome.
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Lipopolysaccharide -mediated resistance to host antimicrobial peptides and hemocyte-derived reactive-oxygen species are the major Providencia alcalifaciens virulence factors in Drosophila melanogaster. PLoS Pathog 2022; 18:e1010825. [PMID: 36084158 PMCID: PMC9491580 DOI: 10.1371/journal.ppat.1010825] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Revised: 09/21/2022] [Accepted: 08/23/2022] [Indexed: 02/07/2023] Open
Abstract
Bacteria from the genus Providencia are ubiquitous Gram-negative opportunistic pathogens, causing “travelers’ diarrhea”, urinary tract, and other nosocomial infections in humans. Some Providencia strains have also been isolated as natural pathogens of Drosophila melanogaster. Despite clinical relevance and extensive use in Drosophila immunity research, little is known about Providencia virulence mechanisms and the corresponding insect host defenses. To close this knowledge gap, we investigated the virulence factors of a representative Providencia species—P. alcalifaciens which is highly virulent to fruit flies and amenable to genetic manipulations. We generated a P. alcalifaciens transposon mutant library and performed an unbiased forward genetics screen in vivo for attenuated mutants. Our screen uncovered 23 mutants with reduced virulence. The vast majority of them had disrupted genes linked to lipopolysaccharide (LPS) synthesis or modifications. These LPS mutants were sensitive to cationic antimicrobial peptides (AMPs) in vitro and their virulence was restored in Drosophila mutants lacking most AMPs. Thus, LPS-mediated resistance to host AMPs is one of the virulence strategies of P. alcalifaciens. Another subset of P. alcalifaciens attenuated mutants exhibited increased susceptibility to reactive oxygen species (ROS) in vitro and their virulence was rescued by chemical scavenging of ROS in flies prior to infection. Using genetic analysis, we found that the enzyme Duox specifically in hemocytes is the source of bactericidal ROS targeting P. alcalifaciens. Consistently, the virulence of ROS-sensitive P. alcalifaciens mutants was rescued in flies with Duox knockdown in hemocytes. Therefore, these genes function as virulence factors by helping bacteria to counteract the ROS immune response. Our reciprocal analysis of host-pathogen interactions between D. melanogaster and P. alcalifaciens identified that AMPs and hemocyte-derived ROS are the major defense mechanisms against P. alcalifaciens, while the ability of the pathogen to resist these host immune responses is its major virulence mechanism. Thus, our work revealed a host-pathogen conflict mediated by ROS and AMPs. Pathogens express special molecules or structures called virulence factors to successfully infect a host. By identifying these factors, we can learn how hosts fight and how pathogens cause infections. Here, we identified virulence factors of the human and fruit fly pathogen Providencia alcalifaciens, by infecting flies with a series of mutants of this pathogen. In this way, we detected 23 mutants that were less virulent. Some of these less virulent mutants were hypersensitive to fruit fly immune defense molecules called antimicrobial peptides (AMPs), while others were sensitive to reactive oxygen species (ROS) produced by the immune cells. Notably, AMPs-sensitive mutants remained virulent in a Drosophila mutant that lacks AMPs, while pathogens sensitive to oxidative stress retained their virulence in a fruit fly mutant devoid of oxidative species. These results suggest that the ability of P. alcalifaciens to resist two major host immune molecules, namely AMPs and ROS, is the major virulence mechanism. Overall, our systematic analysis of P. alcalifaciens virulence factors has identified the major defense mechanisms of the fruit fly against this pathogen and the bacterial mechanisms to combat these immune responses.
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28
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Lyne R, Bazaga A, Butano D, Contrino S, Heimbach J, Hu F, Kalderimis A, Lyne M, Reierskog K, Stepan R, Sullivan J, Wise A, Yehudi Y, Micklem G. HumanMine: advanced data searching, analysis and cross-species comparison. Database (Oxford) 2022; 2022:6640317. [PMID: 35820040 PMCID: PMC9275753 DOI: 10.1093/database/baac054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Revised: 06/07/2022] [Accepted: 06/21/2022] [Indexed: 11/29/2022]
Abstract
HumanMine (www.humanmine.org) is an integrated database of human genomics and proteomics data that provides a powerful interface to support sophisticated exploration and analysis of data compiled from experimental, computational and curated data sources. Built using the InterMine data integration platform, HumanMine includes genes, proteins, pathways, expression levels, Single nucleotide polymorphism (SNP), diseases and more, integrated into a single searchable database. HumanMine promotes integrative analysis, a powerful approach in modern biology that allows many sources of evidence to be analysed together. The data can be accessed through a user-friendly web interface as well as a powerful, scriptable web service Application programming interface (API) to allow programmatic access to data. The web interface includes a useful identifier resolution system, sophisticated query options and interactive results tables that enable powerful exploration of data, including data summaries, filtering, browsing and export. A set of graphical analysis tools provide a rich environment for data exploration including statistical enrichment of sets of genes or other biological entities. HumanMine can be used for integrative multistaged analysis that can lead to new insights and uncover previously unknown relationships. Database URL: https://www.humanmine.org
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Affiliation(s)
- Rachel Lyne
- Department of Genetics, University of Cambridge , Downing Pl, Cambridge, CB2 3EH, UK
| | - Adrián Bazaga
- Department of Genetics, University of Cambridge , Downing Pl, Cambridge, CB2 3EH, UK
| | - Daniela Butano
- Department of Genetics, University of Cambridge , Downing Pl, Cambridge, CB2 3EH, UK
| | - Sergio Contrino
- Department of Genetics, University of Cambridge , Downing Pl, Cambridge, CB2 3EH, UK
| | - Joshua Heimbach
- Department of Genetics, University of Cambridge , Downing Pl, Cambridge, CB2 3EH, UK
| | - Fengyuan Hu
- Department of Genetics, University of Cambridge , Downing Pl, Cambridge, CB2 3EH, UK
| | - Alexis Kalderimis
- Department of Genetics, University of Cambridge , Downing Pl, Cambridge, CB2 3EH, UK
| | - Mike Lyne
- Department of Genetics, University of Cambridge , Downing Pl, Cambridge, CB2 3EH, UK
| | - Kevin Reierskog
- Department of Genetics, University of Cambridge , Downing Pl, Cambridge, CB2 3EH, UK
| | - Radek Stepan
- Department of Genetics, University of Cambridge , Downing Pl, Cambridge, CB2 3EH, UK
| | - Julie Sullivan
- Department of Genetics, University of Cambridge , Downing Pl, Cambridge, CB2 3EH, UK
| | - Archie Wise
- Department of Genetics, University of Cambridge , Downing Pl, Cambridge, CB2 3EH, UK
| | - Yo Yehudi
- Department of Genetics, University of Cambridge , Downing Pl, Cambridge, CB2 3EH, UK
| | - Gos Micklem
- Department of Genetics, University of Cambridge , Downing Pl, Cambridge, CB2 3EH, UK
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29
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Keränen SVE, Villahoz-Baleta A, Bruno AE, Halfon MS. REDfly: An Integrated Knowledgebase for Insect Regulatory Genomics. INSECTS 2022; 13:618. [PMID: 35886794 PMCID: PMC9323752 DOI: 10.3390/insects13070618] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Revised: 07/01/2022] [Accepted: 07/06/2022] [Indexed: 11/29/2022]
Abstract
We provide here an updated description of the REDfly (Regulatory Element Database for Fly) database of transcriptional regulatory elements, a unique resource that provides regulatory annotation for the genome of Drosophila and other insects. The genomic sequences regulating insect gene expression-transcriptional cis-regulatory modules (CRMs, e.g., "enhancers") and transcription factor binding sites (TFBSs)-are not currently curated by any other major database resources. However, knowledge of such sequences is important, as CRMs play critical roles with respect to disease as well as normal development, phenotypic variation, and evolution. Characterized CRMs also provide useful tools for both basic and applied research, including developing methods for insect control. REDfly, which is the most detailed existing platform for metazoan regulatory-element annotation, includes over 40,000 experimentally verified CRMs and TFBSs along with their DNA sequences, their associated genes, and the expression patterns they direct. Here, we briefly describe REDfly's contents and data model, with an emphasis on the new features implemented since 2020. We then provide an illustrated walk-through of several common REDfly search use cases.
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Affiliation(s)
| | - Angel Villahoz-Baleta
- Center for Computational Research, State University of New York at Buffalo, Buffalo, NY 14203, USA; (A.V.-B.); (A.E.B.)
- New York State Center of Excellence in Bioinformatics and Life Sciences, State University of New York at Buffalo, Buffalo, NY 14203, USA
| | - Andrew E. Bruno
- Center for Computational Research, State University of New York at Buffalo, Buffalo, NY 14203, USA; (A.V.-B.); (A.E.B.)
- New York State Center of Excellence in Bioinformatics and Life Sciences, State University of New York at Buffalo, Buffalo, NY 14203, USA
| | - Marc S. Halfon
- New York State Center of Excellence in Bioinformatics and Life Sciences, State University of New York at Buffalo, Buffalo, NY 14203, USA
- Department of Biochemistry, State University of New York at Buffalo, Buffalo, NY 14203, USA
- Department of Biomedical Informatics, State University of New York at Buffalo, Buffalo, NY 14203, USA
- Department of Biological Sciences, State University of New York at Buffalo, Buffalo, NY 14203, USA
- Department of Molecular and Cellular Biology and Program in Cancer Genetics, Roswell Park Cancer Institute, Buffalo, NY 14263, USA
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30
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Xie Q, Li J, Li H, Udeshi ND, Svinkina T, Orlin D, Kohani S, Guajardo R, Mani DR, Xu C, Li T, Han S, Wei W, Shuster SA, Luginbuhl DJ, Quake SR, Murthy SE, Ting AY, Carr SA, Luo L. Transcription factor Acj6 controls dendrite targeting via a combinatorial cell-surface code. Neuron 2022; 110:2299-2314.e8. [PMID: 35613619 DOI: 10.1016/j.neuron.2022.04.026] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Revised: 03/11/2022] [Accepted: 04/26/2022] [Indexed: 12/13/2022]
Abstract
Transcription factors specify the fate and connectivity of developing neurons. We investigate how a lineage-specific transcription factor, Acj6, controls the precise dendrite targeting of Drosophila olfactory projection neurons (PNs) by regulating the expression of cell-surface proteins. Quantitative cell-surface proteomic profiling of wild-type and acj6 mutant PNs in intact developing brains, and a proteome-informed genetic screen identified PN surface proteins that execute Acj6-regulated wiring decisions. These include canonical cell adhesion molecules and proteins previously not associated with wiring, such as Piezo, whose mechanosensitive ion channel activity is dispensable for its function in PN dendrite targeting. Comprehensive genetic analyses revealed that Acj6 employs unique sets of cell-surface proteins in different PN types for dendrite targeting. Combined expression of Acj6 wiring executors rescued acj6 mutant phenotypes with higher efficacy and breadth than expression of individual executors. Thus, Acj6 controls wiring specificity of different neuron types by specifying distinct combinatorial expression of cell-surface executors.
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Affiliation(s)
- Qijing Xie
- Department of Biology, Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA; Neurosciences Graduate Program, Stanford University, Stanford, CA 94305, USA
| | - Jiefu Li
- Department of Biology, Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA
| | - Hongjie Li
- Department of Biology, Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA
| | - Namrata D Udeshi
- The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Tanya Svinkina
- The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Daniel Orlin
- Vollum Institute, Oregon Health & Science University, Portland, OR 97239, USA
| | - Sayeh Kohani
- Department of Biology, Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA
| | - Ricardo Guajardo
- Department of Biology, Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA
| | - D R Mani
- The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Chuanyun Xu
- Department of Biology, Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA
| | - Tongchao Li
- Department of Biology, Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA
| | - Shuo Han
- Departments of Genetics, Biology, and Chemistry, Chan Zuckerberg Biohub, Stanford University, Stanford, CA 94305, USA
| | - Wei Wei
- Department of Biology, Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA
| | - S Andrew Shuster
- Department of Biology, Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA; Neurosciences Graduate Program, Stanford University, Stanford, CA 94305, USA
| | - David J Luginbuhl
- Department of Biology, Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA
| | - Stephen R Quake
- Departments of Bioengineering and Applied Physics, Chan Zuckerberg Biohub, Stanford University, Stanford, CA 94305, USA
| | - Swetha E Murthy
- Vollum Institute, Oregon Health & Science University, Portland, OR 97239, USA
| | - Alice Y Ting
- Departments of Genetics, Biology, and Chemistry, Chan Zuckerberg Biohub, Stanford University, Stanford, CA 94305, USA
| | - Steven A Carr
- The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Liqun Luo
- Department of Biology, Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA.
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31
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ASC proneural factors are necessary for chromatin remodeling during neuroectodermal to neuroblast fate transition to ensure the timely initiation of the neural stem cell program. BMC Biol 2022; 20:107. [PMID: 35549704 PMCID: PMC9102361 DOI: 10.1186/s12915-022-01300-8] [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: 07/14/2021] [Accepted: 04/20/2022] [Indexed: 11/11/2022] Open
Abstract
Background In both Drosophila and mammals, the achaete-scute (ASC/ASCL) proneural bHLH transcription factors are expressed in the developing central and peripheral nervous systems, where they function during specification and maintenance of the neural stem cells in opposition to Notch signaling. In addition to their role in nervous system development, ASC transcription factors are oncogenic and exhibit chromatin reprogramming activity; however, the impact of ASC on chromatin dynamics during neural stem cell generation remains elusive. Here, we investigate the chromatin changes accompanying neural commitment using an integrative genetics and genomics methodology. Results We found that ASC factors bind equally strongly to two distinct classes of cis-regulatory elements: open regions remodeled earlier during maternal to zygotic transition by Zelda and less accessible, Zelda-independent regions. Both classes of cis-elements exhibit enhanced chromatin accessibility during neural specification and correlate with transcriptional regulation of genes involved in a variety of biological processes necessary for neuroblast function/homeostasis. We identified an ASC-Notch regulated TF network that includes likely prime regulators of neuroblast function. Using a cohort of ASC target genes, we report that ASC null neuroblasts are defectively specified, remaining initially stalled, unable to divide, and lacking expression of many proneural targets. When mutant neuroblasts eventually start proliferating, they produce compromised progeny. Reporter lines driven by proneural-bound enhancers display ASC dependency, suggesting that the partial neuroblast identity seen in the absence of ASC genes is likely driven by other, proneural-independent, cis-elements. Neuroblast impairment and the late differentiation defects of ASC mutants are corrected by ectodermal induction of individual ASC genes but not by individual members of the TF network downstream of ASC. However, in wild-type embryos, the induction of individual members of this network induces CNS hyperplasia, suggesting that they synergize with the activating function of ASC to consolidate the chromatin dynamics that promote neural specification. Conclusions We demonstrate that ASC proneural transcription factors are indispensable for the timely initiation of the neural stem cell program at the chromatin level by regulating a large number of enhancers in the vicinity of neural genes. This early chromatin remodeling is crucial for both neuroblast homeostasis as well as future progeny fidelity. Supplementary Information The online version contains supplementary material available at 10.1186/s12915-022-01300-8.
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32
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Chathoth KT, Mikheeva LA, Crevel G, Wolfe JC, Hunter I, Beckett-Doyle S, Cotterill S, Dai H, Harrison A, Zabet NR. The role of insulators and transcription in 3D chromatin organization of flies. Genome Res 2022; 32:682-698. [PMID: 35354608 PMCID: PMC8997359 DOI: 10.1101/gr.275809.121] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Accepted: 02/17/2022] [Indexed: 11/25/2022]
Abstract
The DNA in many organisms, including humans, is shown to be organized in topologically associating domains (TADs). In Drosophila, several architectural proteins are enriched at TAD borders, but it is still unclear whether these proteins play a functional role in the formation and maintenance of TADs. Here, we show that depletion of BEAF-32, Cp190, Chro, and Dref leads to changes in TAD organization and chromatin loops. Their depletion predominantly affects TAD borders located in regions moderately enriched in repressive modifications and depleted in active ones, whereas TAD borders located in euchromatin are resilient to these knockdowns. Furthermore, transcriptomic data has revealed hundreds of genes displaying differential expression in these knockdowns and showed that the majority of differentially expressed genes are located within reorganized TADs. Our work identifies a novel and functional role for architectural proteins at TAD borders in Drosophila and a link between TAD reorganization and subsequent changes in gene expression.
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Affiliation(s)
- Keerthi T Chathoth
- School of Life Sciences, University of Essex, Colchester CO4 3SQ, United Kingdom
| | - Liudmila A Mikheeva
- School of Life Sciences, University of Essex, Colchester CO4 3SQ, United Kingdom.,Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London E1 2AT, United Kingdom.,Department of Mathematical Sciences, University of Essex, Colchester CO4 3SQ, United Kingdom
| | - Gilles Crevel
- Department Basic Medical Sciences, St. Georges University London, London SW17 0RE, United Kingdom
| | - Jareth C Wolfe
- School of Life Sciences, University of Essex, Colchester CO4 3SQ, United Kingdom.,Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London E1 2AT, United Kingdom.,School of Computer Science and Electronic Engineering, University of Essex, Colchester CO4 3SQ, United Kingdom
| | - Ioni Hunter
- School of Life Sciences, University of Essex, Colchester CO4 3SQ, United Kingdom
| | - Saskia Beckett-Doyle
- School of Life Sciences, University of Essex, Colchester CO4 3SQ, United Kingdom
| | - Sue Cotterill
- Department Basic Medical Sciences, St. Georges University London, London SW17 0RE, United Kingdom
| | - Hongsheng Dai
- Department of Mathematical Sciences, University of Essex, Colchester CO4 3SQ, United Kingdom
| | - Andrew Harrison
- Department of Mathematical Sciences, University of Essex, Colchester CO4 3SQ, United Kingdom
| | - Nicolae Radu Zabet
- School of Life Sciences, University of Essex, Colchester CO4 3SQ, United Kingdom.,Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London E1 2AT, United Kingdom
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33
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The life history of
Drosophila
sperm involves molecular continuity between male and female reproductive tracts. Proc Natl Acad Sci U S A 2022; 119:e2119899119. [PMID: 35254899 PMCID: PMC8931355 DOI: 10.1073/pnas.2119899119] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
In species with internal fertilization, sperm spend an important part of their lives within the female. To examine the life history of the sperm during this time, we used semiquantitative proteomics and sex-specific isotopic labeling in fruit flies to determine the extent of molecular continuity between male and female reproductive tracts and provide a global catalog of sperm-associated proteins. Multiple seminal fluid proteins and female proteins associate with sperm immediately after mating. Few seminal fluid proteins remain after long-term sperm storage, whereas female-derived proteins constitute one-fifth of the postmating sperm proteome by then. Our data reveal a molecular “hand-off” from males to females, which we postulate to be an important component of sperm–female interactions. Interactions between sperm and the female reproductive tract (FRT) are critical to reproductive success and yet are poorly understood. Because sperm complete their functional maturation within the FRT, the life history of sperm is likely to include a molecular “hand-off” from males to females. Although such intersexual molecular continuity is likely to be widespread among all internally fertilizing species, the identity and extent of female contributions are largely unknown. We combined semiquantitative proteomics with sex-specific isotopic labeling to catalog the posttesticular life history of the sperm proteome and determine the extent of molecular continuity between male and FRTs. We show that the Drosophila melanogaster sperm proteome undergoes substantial compositional changes after being transferred to the FRT. Multiple seminal fluid proteins initially associate with sperm, but most become undetectable after sperm are stored. Female-derived proteins also begin to associate with sperm immediately after mating, and they comprise nearly 20% of the postmating sperm proteome following 4 d of storage in the FRT. Female-derived proteins that associate with sperm are enriched for processes associated with energy metabolism, suggesting that female contributions support sperm viability during the prolonged period between copulation and fertilization. Our research provides a comprehensive characterization of sperm proteome dynamics and expands our understanding of the critical process of sperm–FRT interactions.
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34
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Li H, Janssens J, De Waegeneer M, Kolluru SS, Davie K, Gardeux V, Saelens W, David F, Brbić M, Spanier K, Leskovec J, McLaughlin CN, Xie Q, Jones RC, Brueckner K, Shim J, Tattikota SG, Schnorrer F, Rust K, Nystul TG, Carvalho-Santos Z, Ribeiro C, Pal S, Mahadevaraju S, Przytycka TM, Allen AM, Goodwin SF, Berry CW, Fuller MT, White-Cooper H, Matunis EL, DiNardo S, Galenza A, O’Brien LE, Dow JAT, Jasper H, Oliver B, Perrimon N, Deplancke B, Quake SR, Luo L, Aerts S, Agarwal D, Ahmed-Braimah Y, Arbeitman M, Ariss MM, Augsburger J, Ayush K, Baker CC, Banisch T, Birker K, Bodmer R, Bolival B, Brantley SE, Brill JA, Brown NC, Buehner NA, Cai XT, Cardoso-Figueiredo R, Casares F, Chang A, Clandinin TR, Crasta S, Desplan C, Detweiler AM, Dhakan DB, Donà E, Engert S, Floc'hlay S, George N, González-Segarra AJ, Groves AK, Gumbin S, Guo Y, Harris DE, Heifetz Y, Holtz SL, Horns F, Hudry B, Hung RJ, Jan YN, Jaszczak JS, Jefferis GSXE, Karkanias J, Karr TL, Katheder NS, Kezos J, Kim AA, Kim SK, Kockel L, Konstantinides N, Kornberg TB, Krause HM, Labott AT, Laturney M, Lehmann R, Leinwand S, Li J, Li JSS, Li K, Li K, Li L, Li T, Litovchenko M, Liu HH, Liu Y, Lu TC, Manning J, Mase A, Matera-Vatnick M, Matias NR, McDonough-Goldstein CE, McGeever A, McLachlan AD, Moreno-Roman P, Neff N, Neville M, Ngo S, Nielsen T, O'Brien CE, Osumi-Sutherland D, Özel MN, Papatheodorou I, Petkovic M, Pilgrim C, Pisco AO, Reisenman C, Sanders EN, Dos Santos G, Scott K, Sherlekar A, Shiu P, Sims D, Sit RV, Slaidina M, Smith HE, Sterne G, Su YH, Sutton D, Tamayo M, Tan M, Tastekin I, Treiber C, Vacek D, Vogler G, Waddell S, Wang W, Wilson RI, Wolfner MF, Wong YCE, Xie A, Xu J, Yamamoto S, Yan J, Yao Z, Yoda K, Zhu R, Zinzen RP. Fly Cell Atlas: A single-nucleus transcriptomic atlas of the adult fruit fly. Science 2022; 375:eabk2432. [PMID: 35239393 PMCID: PMC8944923 DOI: 10.1126/science.abk2432] [Citation(s) in RCA: 258] [Impact Index Per Article: 129.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
For more than 100 years, the fruit fly Drosophila melanogaster has been one of the most studied model organisms. Here, we present a single-cell atlas of the adult fly, Tabula Drosophilae, that includes 580,000 nuclei from 15 individually dissected sexed tissues as well as the entire head and body, annotated to >250 distinct cell types. We provide an in-depth analysis of cell type-related gene signatures and transcription factor markers, as well as sexual dimorphism, across the whole animal. Analysis of common cell types between tissues, such as blood and muscle cells, reveals rare cell types and tissue-specific subtypes. This atlas provides a valuable resource for the Drosophila community and serves as a reference to study genetic perturbations and disease models at single-cell resolution.
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Affiliation(s)
- Hongjie Li
- Department of Biology, Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA,Huffington Center on Aging and Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Jasper Janssens
- VIB-KU Leuven Center for Brain & Disease Research, KU Leuven, Leuven 3000, Belgium,Laboratory of Computational Biology, Department of Human Genetics, KU Leuven, Leuven 3000, Belgium
| | - Maxime De Waegeneer
- VIB-KU Leuven Center for Brain & Disease Research, KU Leuven, Leuven 3000, Belgium,Laboratory of Computational Biology, Department of Human Genetics, KU Leuven, Leuven 3000, Belgium
| | - Sai Saroja Kolluru
- Departments of Bioengineering and Applied Physics, Stanford University, Stanford CA USA, and Chan Zuckerberg Biohub, San Francisco CA, USA
| | - Kristofer Davie
- VIB-KU Leuven Center for Brain & Disease Research, KU Leuven, Leuven 3000, Belgium
| | - Vincent Gardeux
- Laboratory of Systems Biology and Genetics, Institute of Bioengineering, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL) and Swiss Institute of Bioinformatics, CH-1015 Lausanne, Switzerland
| | - Wouter Saelens
- Laboratory of Systems Biology and Genetics, Institute of Bioengineering, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL) and Swiss Institute of Bioinformatics, CH-1015 Lausanne, Switzerland
| | - Fabrice David
- Laboratory of Systems Biology and Genetics, Institute of Bioengineering, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL) and Swiss Institute of Bioinformatics, CH-1015 Lausanne, Switzerland
| | - Maria Brbić
- Department of Computer Science, Stanford University, Stanford, CA 94305, USA, and Chan Zuckerberg Biohub, San Francisco CA, USA
| | - Katina Spanier
- VIB-KU Leuven Center for Brain & Disease Research, KU Leuven, Leuven 3000, Belgium,Laboratory of Computational Biology, Department of Human Genetics, KU Leuven, Leuven 3000, Belgium
| | - Jure Leskovec
- Department of Computer Science, Stanford University, Stanford, CA 94305, USA, and Chan Zuckerberg Biohub, San Francisco CA, USA
| | - Colleen N. McLaughlin
- Department of Biology, Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA
| | - Qijing Xie
- Department of Biology, Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA
| | - Robert C. Jones
- Departments of Bioengineering and Applied Physics, Stanford University, Stanford CA USA, and Chan Zuckerberg Biohub, San Francisco CA, USA
| | - Katja Brueckner
- Department of Cell and Tissue Biology, University of California, San Francisco, CA 94143, USA
| | - Jiwon Shim
- Department of Life Science, College of Natural Science, Hanyang University, Seoul, Republic of Korea 04763
| | - Sudhir Gopal Tattikota
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Harvard University, Boston, MA 02115; Howard Hughes Medical Institute, Boston, MA, USA
| | - Frank Schnorrer
- Aix-Marseille University, CNRS, IBDM (UMR 7288), Turing Centre for Living systems, 13009 Marseille, France
| | - Katja Rust
- Institute of Physiology and Pathophysiology, Department of Molecular Cell Physiology, Philipps-University, Marburg, Germany,Department of Anatomy, University of California, San Francisco, CA 94143, USA
| | - Todd G. Nystul
- Department of Anatomy, University of California, San Francisco, CA 94143, USA
| | - Zita Carvalho-Santos
- Behavior and Metabolism Laboratory, Champalimaud Research, Champalimaud Centre for the Unknown, Lisbon, Portugal
| | - Carlos Ribeiro
- Behavior and Metabolism Laboratory, Champalimaud Research, Champalimaud Centre for the Unknown, Lisbon, Portugal
| | - Soumitra Pal
- National Center of Biotechnology Information, National Library of Medicine, NIH, Bethesda, MD 20894, USA
| | - Sharvani Mahadevaraju
- Laboratory of Cellular and Developmental Biology, National Institute of Diabetes and Kidney and Digestive Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Teresa M. Przytycka
- National Center of Biotechnology Information, National Library of Medicine, NIH, Bethesda, MD 20894, USA
| | - Aaron M. Allen
- Centre for Neural Circuits & Behaviour, University of Oxford, Tinsley Building, Mansfield road, Oxford, OX1 3SR, UK
| | - Stephen F. Goodwin
- Centre for Neural Circuits & Behaviour, University of Oxford, Tinsley Building, Mansfield road, Oxford, OX1 3SR, UK
| | - Cameron W. Berry
- Department of Developmental Biology and Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Margaret T. Fuller
- Department of Developmental Biology and Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Helen White-Cooper
- Molecular Biosciences Division, Cardiff University, Cardiff, CF10 3AX UK
| | - Erika L. Matunis
- Department of Cell Biology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Stephen DiNardo
- Perelman School of Medicine, The University of Pennsylvania, and The Penn Institute for Regenerative Medicine Philadelphia, PA 19104, USA
| | - Anthony Galenza
- Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford CA 94305, USA
| | - Lucy Erin O’Brien
- Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford CA 94305, USA
| | - Julian A. T. Dow
- Institute of Molecular, Cell & Systems Biology, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow G12 8QQ, UK
| | - FCA Consortium
- FCA Consortium: All authors listed before Acknowledgements, and all contributions and affiliations listed in the Supplementary Materials
| | - Heinrich Jasper
- Immunology Discovery, Genentech, Inc., 1 DNA Way, South San Francisco, CA 94080, USA
| | - Brian Oliver
- Laboratory of Cellular and Developmental Biology, National Institute of Diabetes and Kidney and Digestive Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Norbert Perrimon
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Harvard University, Boston, MA 02115; Howard Hughes Medical Institute, Boston, MA, USA,corresponding authors: (N.P.), (B.D.), (S.R.Q.), (L.L.), (S.A.)
| | - Bart Deplancke
- Laboratory of Systems Biology and Genetics, Institute of Bioengineering, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL) and Swiss Institute of Bioinformatics, CH-1015 Lausanne, Switzerland,corresponding authors: (N.P.), (B.D.), (S.R.Q.), (L.L.), (S.A.)
| | - Stephen R. Quake
- Departments of Bioengineering and Applied Physics, Stanford University, Stanford CA USA, and Chan Zuckerberg Biohub, San Francisco CA, USA,corresponding authors: (N.P.), (B.D.), (S.R.Q.), (L.L.), (S.A.)
| | - Liqun Luo
- Department of Biology, Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA,corresponding authors: (N.P.), (B.D.), (S.R.Q.), (L.L.), (S.A.)
| | - Stein Aerts
- VIB-KU Leuven Center for Brain & Disease Research, KU Leuven, Leuven 3000, Belgium,Laboratory of Computational Biology, Department of Human Genetics, KU Leuven, Leuven 3000, Belgium,corresponding authors: (N.P.), (B.D.), (S.R.Q.), (L.L.), (S.A.)
| | - Devika Agarwal
- MRC Weatherall Institute of Molecular Medicine, University of Oxford, John Radcliffe Hospital, Headington, Oxford OX3 9DS, UK
| | | | - Michelle Arbeitman
- Biomedical Sciences Department, Florida State University, Tallahassee, FL, USA
| | - Majd M Ariss
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Jordan Augsburger
- Department of Cell and Tissue Biology, University of California, San Francisco, CA 94143, USA
| | - Kumar Ayush
- Department of Computer Science, Stanford University, Stanford, CA 94305, USA
| | - Catherine C Baker
- Department of Developmental Biology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Torsten Banisch
- Skirball Institute and HHMI, New York University Langone Medical Center, New York City, NY 10016, USA
| | - Katja Birker
- Development, Aging and Regeneration Program, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA 92037, USA
| | - Rolf Bodmer
- Development, Aging and Regeneration Program, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA 92037, USA
| | - Benjamin Bolival
- Department of Developmental Biology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Susanna E Brantley
- Department of Developmental Biology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Julie A Brill
- Cell Biology Program, The Hospital for Sick Children (SickKids), Toronto, ON M5G 0A4, Canada.,Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Nora C Brown
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14853, USA
| | - Norene A Buehner
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14853, USA
| | - Xiaoyu Tracy Cai
- Immunology Discovery, Genentech, Inc., South San Francisco, CA 94080, USA
| | - Rita Cardoso-Figueiredo
- Behavior and Metabolism Laboratory, Champalimaud Research, Champalimaud Centre for the Unknown, Lisbon, Portugal
| | - Fernando Casares
- CABD (Andalusian Centre for Developmental Biology), CSIC-UPO-JA, Seville 41013, Spain
| | - Amy Chang
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Thomas R Clandinin
- Department of Neurobiology, Stanford University, Stanford, CA 94305, USA
| | - Sheela Crasta
- Department of Bioengineering, Stanford University, Stanford, CA, USA.,Department of Applied Physics, Stanford University, Stanford, CA, USA.,Chan Zuckerberg Biohub, San Francisco CA, USA
| | - Claude Desplan
- Department of Biology, New York University, New York, New York 10003, USA
| | | | - Darshan B Dhakan
- Behavior and Metabolism Laboratory, Champalimaud Research, Champalimaud Centre for the Unknown, Lisbon, Portugal
| | - Erika Donà
- Neurobiology Division, MRC Laboratory of Molecular Biology, Cambridge CB2 0QH, UK
| | - Stefanie Engert
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Swann Floc'hlay
- VIB-KU Leuven Center for Brain and Disease Research, KU Leuven, Leuven 3000, Belgium.,Laboratory of Computational Biology, Department of Human Genetics, KU Leuven, Leuven 3000, Belgium
| | - Nancy George
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Wellcome Trust Genome Campus, Hinxton CB10 1SD, UK
| | - Amanda J González-Segarra
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Andrew K Groves
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.,Department of Neuroscience, Baylor College of Medicine, Houston, TX 77030, USA
| | - Samantha Gumbin
- Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Yanmeng Guo
- Department of Physiology, Department of Biochemistry and Biophysics, University of California at San Francisco, San Francisco, CA, USA.,Howard Hughes Medical Institute, San Francisco, CA, USA
| | - Devon E Harris
- Department of Developmental Biology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Yael Heifetz
- The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Stephen L Holtz
- Department of Neurobiology, Harvard Medical School, Boston, MA 02115, USA
| | - Felix Horns
- Department of Bioengineering and Biophysics Graduate Program, Stanford University, Stanford, CA 94305, USA
| | - Bruno Hudry
- Université Côte d'Azur, CNRS, INSERM, iBV, France
| | - Ruei-Jiun Hung
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA
| | - Yuh Nung Jan
- Department of Physiology, Department of Biochemistry and Biophysics, University of California at San Francisco, San Francisco, CA, USA.,Howard Hughes Medical Institute, San Francisco, CA, USA
| | - Jacob S Jaszczak
- Department of Physiology, Department of Biochemistry and Biophysics, University of California at San Francisco, San Francisco, CA, USA.,Howard Hughes Medical Institute, San Francisco, CA, USA
| | | | | | - Timothy L Karr
- Biodesign Institute, Arizona State University, Tempe, AZ 85281, USA
| | | | - James Kezos
- Development, Aging and Regeneration Program, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA 92037, USA
| | - Anna A Kim
- Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA 94305, USA.,University of California, Santa Barbara, CA 93106, USA.,Uppsala University, Sweden
| | - Seung K Kim
- Department of Developmental Biology and Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA.,Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Lutz Kockel
- Department of Developmental Biology and Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Nikolaos Konstantinides
- Institut Jacques Monod, Centre National de la Recherche Scientifique-UMR 7592, Université Paris Diderot, Paris, France
| | - Thomas B Kornberg
- Cardiovascular Research Institute, University of California, San Francisco, CA 94143, USA
| | - Henry M Krause
- Donnelly Centre for Cellular and Biomolecular Research, Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 3E1, Canada
| | - Andrew Thomas Labott
- Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Meghan Laturney
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Ruth Lehmann
- Skirball Institute, Department of Cell Biology and HHMI, New York University Langone Medical Center, New York City, NY 10016
| | - Sarah Leinwand
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Jiefu Li
- Howard Hughes Medical Institute, Department of Biology, Stanford University, Stanford, CA 94305, USA
| | - Joshua Shing Shun Li
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA
| | - Kai Li
- Department of Physiology, Department of Biochemistry and Biophysics, University of California at San Francisco, San Francisco, CA, USA.,Howard Hughes Medical Institute, San Francisco, CA, USA
| | - Ke Li
- Department of Physiology, Department of Biochemistry and Biophysics, University of California at San Francisco, San Francisco, CA, USA.,Howard Hughes Medical Institute, San Francisco, CA, USA
| | - Liying Li
- Department of Physiology, Department of Biochemistry and Biophysics, University of California at San Francisco, San Francisco, CA, USA.,Howard Hughes Medical Institute, San Francisco, CA, USA
| | - Tun Li
- Department of Physiology, Department of Biochemistry and Biophysics, University of California at San Francisco, San Francisco, CA, USA.,Howard Hughes Medical Institute, San Francisco, CA, USA
| | - Maria Litovchenko
- Laboratory of Systems Biology and Genetics, Institute of Bioengineering, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland.,Swiss Institute of Bioinformatics, CH-1015 Lausanne, Switzerland
| | - Han-Hsuan Liu
- Department of Physiology, Department of Biochemistry and Biophysics, University of California at San Francisco, San Francisco, CA, USA.,Howard Hughes Medical Institute, San Francisco, CA, USA
| | - Yifang Liu
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA
| | - Tzu-Chiao Lu
- Huffington Center on Aging, Baylor College of Medicine, Houston, TX 77030, USA
| | - Jonathan Manning
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Wellcome Trust Genome Campus, Hinxton CB10 1SD, UK
| | - Anjeli Mase
- Department of Cell and Tissue Biology, University of California, San Francisco, CA 94143, USA
| | | | - Neuza Reis Matias
- Department of Developmental Biology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Caitlin E McDonough-Goldstein
- Department of Biology, Syracuse University, Syracuse, NY, USA.,Department of Evolutionary Biology, University of Vienna, Vienna, Austria
| | | | - Alex D McLachlan
- Department of Physiology, Development and Neuroscience, University of Cambridge, Downing Street, Cambridge CB2 3DY, UK
| | - Paola Moreno-Roman
- Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Norma Neff
- Chan Zuckerberg Biohub, San Francisco CA, USA
| | - Megan Neville
- Centre for Neural Circuits and Behaviour, University of Oxford, Oxford OX1 3SR, UK
| | - Sang Ngo
- Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Tanja Nielsen
- Development, Aging and Regeneration Program, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA 92037, USA
| | - Caitlin E O'Brien
- Department of Physiology, Department of Biochemistry and Biophysics, University of California at San Francisco, San Francisco, CA, USA.,Howard Hughes Medical Institute, San Francisco, CA, USA
| | - David Osumi-Sutherland
- European Bioinformatics Institute (EMBL/EBI), Wellcome Trust Genome Campus, Cambridge, UK
| | | | - Irene Papatheodorou
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Wellcome Trust Genome Campus, Hinxton CB10 1SD, UK
| | - Maja Petkovic
- Department of Physiology, Department of Biochemistry and Biophysics, University of California at San Francisco, San Francisco, CA, USA.,Howard Hughes Medical Institute, San Francisco, CA, USA
| | - Clare Pilgrim
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge CB2 3DY, UK
| | | | - Carolina Reisenman
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Erin Nicole Sanders
- Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Gilberto Dos Santos
- The Biological Laboratories, Harvard University, 16 Divinity Avenue, Cambridge, MA 02138, USA
| | - Kristin Scott
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Aparna Sherlekar
- Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Philip Shiu
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - David Sims
- MRC Weatherall Institute of Molecular Medicine, University of Oxford, John Radcliffe Hospital, Headington, Oxford OX3 9DS, UK
| | - Rene V Sit
- Chan Zuckerberg Biohub, San Francisco CA, USA
| | - Maija Slaidina
- Skirball Institute, Faculty of Medicine, New York University, New York, NY 10016
| | - Harold E Smith
- Genomics Core, National Institute of Diabetes and Digestive and Kidney Diseases, US National Institutes of Health, Bethesda, MD, USA
| | - Gabriella Sterne
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Yu-Han Su
- Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Daniel Sutton
- Graduate Program in Genetics and Genomics, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030 USA
| | - Marco Tamayo
- Development, Aging and Regeneration Program, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA 92037, USA
| | | | - Ibrahim Tastekin
- Behavior and Metabolism Laboratory, Champalimaud Research, Champalimaud Centre for the Unknown, Lisbon, Portugal
| | - Christoph Treiber
- Centre for Neural Circuits and Behaviour, University of Oxford, Tinsley Building, Mansfield Road, Oxford OX1 3TA, UK
| | - David Vacek
- Howard Hughes Medical Institute, Department of Biology, Stanford University, Stanford, CA 94305, USA
| | - Georg Vogler
- Development, Aging and Regeneration Program, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA 92037, USA
| | - Scott Waddell
- Centre for Neural Circuits and Behaviour, University of Oxford, Tinsley Building, Mansfield Road, Oxford OX1 3TA, UK
| | - Wanpeng Wang
- Cardiovascular Research Institute, University of California, San Francisco, CA 94143, USA
| | - Rachel I Wilson
- Department of Neurobiology, Harvard Medical School, Boston, MA 02115, USA
| | - Mariana F Wolfner
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14853, USA
| | - Yiu-Cheung E Wong
- Department of Developmental Biology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Anthony Xie
- Howard Hughes Medical Institute, Department of Biology, Stanford University, Stanford, CA 94305, USA
| | - Jun Xu
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA
| | - Shinya Yamamoto
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.,Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX 77030, USA
| | - Jia Yan
- Chan Zuckerberg Biohub, San Francisco CA, USA
| | - Zepeng Yao
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Kazuki Yoda
- Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Ruijun Zhu
- Department of Physiology, Department of Biochemistry and Biophysics, University of California at San Francisco, San Francisco, CA, USA.,Howard Hughes Medical Institute, San Francisco, CA, USA
| | - Robert P Zinzen
- Laboratory for Systems Biology of Neural Tissue Differentiation, Berlin Institute for Medical Systems Biology (BIMSB), Max Delbrueck Centre for Molecular Medicine (MDC) in the Helmholtz Association, Robert-Roessle-Strasse 12, 13125 Berlin, Germany
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Srinivasan AR, Tran TT, Bonini NM. Loss of miR-34 in Drosophila dysregulates protein translation and protein turnover in the aging brain. Aging Cell 2022; 21:e13559. [PMID: 35166006 PMCID: PMC8920459 DOI: 10.1111/acel.13559] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Revised: 12/20/2021] [Accepted: 01/11/2022] [Indexed: 12/27/2022] Open
Abstract
Aging is a risk factor for neurodegenerative disease, but precise mechanisms that influence this relationship are still under investigation. Work in Drosophila melanogaster identified the microRNA miR‐34 as a modifier of aging and neurodegeneration in the brain. MiR‐34 mutants present aspects of early aging, including reduced lifespan, neurodegeneration, and a buildup of the repressive histone mark H3K27me3. To better understand how miR‐34 regulated pathways contribute to age‐associated phenotypes in the brain, here we transcriptionally profiled the miR‐34 mutant brain. This identified that genes associated with translation are dysregulated in the miR‐34 mutant. The brains of these animals show increased translation activity, accumulation of protein aggregation markers, and altered autophagy activity. To determine if altered H3K27me3 was responsible for this proteostasis dysregulation, we studied the effects of increased H3K27me3 by mutating the histone demethylase Utx. Reduced Utx activity enhanced neurodegeneration and mimicked the protein accumulation seen in miR‐34 mutant brains. However, unlike the miR‐34 mutant, Utx mutant brains did not show similar altered autophagy or translation activity, suggesting that additional miR‐34‐targeted pathways are involved. Transcriptional analysis of predicted miR‐34 targets identified Lst8, a subunit of Tor Complex 1 (TORC1), as a potential target. We confirmed that miR‐34 regulates the 3’ UTR of Lst8 and identified several additional predicted miR‐34 targets that may be critical for maintaining proteostasis and brain health. Together, these results present novel understanding of the brain and the role of the conserved miRNA miR‐34 in impacting proteostasis in the brain with age.
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Affiliation(s)
| | - Tracy T. Tran
- Department of Biology University of Pennsylvania Philadelphia Pennsylvania USA
| | - Nancy M. Bonini
- Department of Biology University of Pennsylvania Philadelphia Pennsylvania USA
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36
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The Ribosomal Protein RpL22 Interacts In Vitro with 5′-UTR Sequences Found in Some Drosophila melanogaster Transposons. Genes (Basel) 2022; 13:genes13020305. [PMID: 35205350 PMCID: PMC8872304 DOI: 10.3390/genes13020305] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2021] [Revised: 01/23/2022] [Accepted: 02/01/2022] [Indexed: 11/17/2022] Open
Abstract
Mobility of eukaryotic transposable elements (TEs) are finely regulated to avoid an excessive mutational load caused by their movement. The transposition of retrotransposons is usually regulated through the interaction of host- and TE-encoded proteins, with non-coding regions (LTR and 5′-UTR) of the transposon. Examples of new potent cis-acting sequences, identified and characterized in the non-coding regions of retrotransposons, include the insulator of gypsy and Idefix, and the enhancer of ZAM of Drosophila melanogaster. Recently we have shown that in the 5′-UTR of the LTR-retrotransposon ZAM there is a sequence structured in tandem-repeat capable of operating as an insulator both in Drosophila (S2R+) and human cells (HEK293). Here, we test the hypothesis that tandem repeated 5′-UTR of a different LTR-retrotransposon could accommodate similar regulatory elements. The comparison of the 5′-UTR of some LTR-transposons allowed us to identify a shared motif of 13 bp, called Transposable Element Redundant Motif (TERM). Surprisingly, we demonstrated, by Yeast One-Hybrid assay, that TERM interacts with the D. melanogaster ribosomal protein RpL22. The Drosophila RpL22 has additional Ala-, Lys- and Pro-rich sequences at the amino terminus, which resembles the carboxy-terminal portion of histone H1 and histone H5. For this reason, it has been hypothesized that RpL22 might have two functions, namely the role in organizing the ribosome, and a potential regulatory role involving DNA-binding similar to histone H1, which represses transcription in Drosophila. In this paper, we show, by two independent sets of experiments, that DmRpL22 is able to directly and specifically bind DNA of Drosophila melanogaster.
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37
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Taylor JR, Wood JG, Mizerak E, Hinthorn S, Liu J, Finn M, Gordon S, Zingas L, Chang C, Klein MA, Denu JM, Gorbunova V, Seluanov A, Boeke JD, Sedivy JM, Helfand SL. Sirt6 regulates lifespan in Drosophila melanogaster. Proc Natl Acad Sci U S A 2022; 119:e2111176119. [PMID: 35091469 PMCID: PMC8812521 DOI: 10.1073/pnas.2111176119] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Accepted: 12/01/2021] [Indexed: 01/13/2023] Open
Abstract
Sirt6 is a multifunctional enzyme that regulates diverse cellular processes such as metabolism, DNA repair, and aging. Overexpressing Sirt6 extends lifespan in mice, but the underlying cellular mechanisms are unclear. Drosophila melanogaster are an excellent model to study genetic regulation of lifespan; however, despite extensive study in mammals, very little is known about Sirt6 function in flies. Here, we characterized the Drosophila ortholog of Sirt6, dSirt6, and examined its role in regulating longevity; dSirt6 is a nuclear and chromatin-associated protein with NAD+-dependent histone deacetylase activity. dSirt6 overexpression (OE) in flies produces robust lifespan extension in both sexes, while reducing dSirt6 levels shortens lifespan. dSirt6 OE flies have normal food consumption and fertility but increased resistance to oxidative stress and reduced protein synthesis rates. Transcriptomic analyses reveal that dSirt6 OE reduces expression of genes involved in ribosome biogenesis, including many dMyc target genes. dSirt6 OE partially rescues many effects of dMyc OE, including increased nuclear size, up-regulation of ribosome biogenesis genes, and lifespan shortening. Last, dMyc haploinsufficiency does not convey additional lifespan extension to dSirt6 OE flies, suggesting dSirt6 OE is upstream of dMyc in regulating lifespan. Our results provide insight into the mechanisms by which Sirt6 OE leads to longer lifespan.
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Affiliation(s)
- Jackson R Taylor
- Department of Molecular Biology, Cell Biology and Biochemistry, Brown University, Providence, RI 02912
| | - Jason G Wood
- Department of Molecular Biology, Cell Biology and Biochemistry, Brown University, Providence, RI 02912
| | - Evan Mizerak
- Department of Molecular Biology, Cell Biology and Biochemistry, Brown University, Providence, RI 02912
| | - Samuel Hinthorn
- Department of Molecular Biology, Cell Biology and Biochemistry, Brown University, Providence, RI 02912
| | - Julianna Liu
- Department of Molecular Biology, Cell Biology and Biochemistry, Brown University, Providence, RI 02912
| | - Matthew Finn
- Department of Molecular Biology, Cell Biology and Biochemistry, Brown University, Providence, RI 02912
| | - Sarah Gordon
- Department of Molecular Biology, Cell Biology and Biochemistry, Brown University, Providence, RI 02912
| | - Louis Zingas
- Department of Molecular Biology, Cell Biology and Biochemistry, Brown University, Providence, RI 02912
| | - Chengyi Chang
- Department of Molecular Biology, Cell Biology and Biochemistry, Brown University, Providence, RI 02912
| | - Mark A Klein
- Department of Biomolecular Chemistry, School of Medicine and Public Health, University of Wisconsin, Madison, WI 53726
| | - John M Denu
- Department of Biomolecular Chemistry, School of Medicine and Public Health, University of Wisconsin, Madison, WI 53726
| | - Vera Gorbunova
- Department of Biology, University of Rochester, Rochester, NY 14627
- Department of Medicine, University of Rochester, Rochester, NY 14627
| | - Andrei Seluanov
- Department of Biology, University of Rochester, Rochester, NY 14627
- Department of Medicine, University of Rochester, Rochester, NY 14627
| | - Jef D Boeke
- Institute for Systems Genetics, NYU Langone Health, New York, NY 10016
- Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY 10016
- Department of Biomedical Engineering, Tandon School of Engineering, Brooklyn, NY 11201
| | - John M Sedivy
- Department of Molecular Biology, Cell Biology and Biochemistry, Brown University, Providence, RI 02912
| | - Stephen L Helfand
- Department of Molecular Biology, Cell Biology and Biochemistry, Brown University, Providence, RI 02912;
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38
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Rouka E, Gourgoulianni N, Lüpold S, Hatzoglou C, Gourgoulianis KI, Zarogiannis SG. Prediction and enrichment analyses of the Homo sapiens-Drosophila melanogaster COPD-related orthologs. Am J Physiol Regul Integr Comp Physiol 2021; 322:R77-R82. [PMID: 34877887 DOI: 10.1152/ajpregu.00092.2021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
The significant similarities in airway epithelial cells between mammals and the fruit fly Drosophila melanogaster have rendered the latter an important model organism for studies of chronic inflammatory lung diseases. Focusing on the chronic obstructive pulmonary disease (COPD), we here mapped human gene orthologs associated with this disease in D. melanogaster to identify functionally equivalent genes for immediate, further screening with the fruit fly model. The DIOPT-DIST tool was accessed for the prediction of the COPD-associated orthologs between humans and Drosophila. Enrichment analyses with respect to pathways of the retrieved functional homologs were performed using the ToppFun and FlyMine tools, identifying 73 unique human genes as well as 438 fruit fly genes. The ToppFun analysis verified that the human gene list is associated with COPD phenotypes. Further, the FlyMine investigation highlighted that the Drosophila genes are functionally connected mainly with the 'ABC-family proteins mediated transport' and the 'beta-catenin independent WNT signaling pathway'. These results suggest an evolutionarily conserved role towards responses to inhaled toxicants and CO2 in both species. We reason that the predicted orthologous genes should be further studied in the Drosophila models of cigarette smoke-induced COPD.
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Affiliation(s)
- Erasmia Rouka
- Department of Physiology, Faculty of Medicine, School of Health Sciences, University of Thessaly, BIOPOLIS, Larissa, Greece
| | - Natalia Gourgoulianni
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland
| | - Stefan Lüpold
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland
| | - Chrissi Hatzoglou
- Department of Physiology, Faculty of Medicine, School of Health Sciences, University of Thessaly, BIOPOLIS, Larissa, Greece.,Department of Respiratory Medicine, Faculty of Medicine, School of Health Sciences, University of Thessaly, BIOPOLIS, Larissa, Greece
| | - Konstantinos I Gourgoulianis
- Department of Respiratory Medicine, Faculty of Medicine, School of Health Sciences, University of Thessaly, BIOPOLIS, Larissa, Greece
| | - Sotirios G Zarogiannis
- Department of Physiology, Faculty of Medicine, School of Health Sciences, University of Thessaly, BIOPOLIS, Larissa, Greece.,Department of Respiratory Medicine, Faculty of Medicine, School of Health Sciences, University of Thessaly, BIOPOLIS, Larissa, Greece
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39
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Ramnarine TJS, Grath S, Parsch J. Natural variation in the transcriptional response of Drosophila melanogaster to oxidative stress. G3-GENES GENOMES GENETICS 2021; 12:6409858. [PMID: 34747443 PMCID: PMC8727983 DOI: 10.1093/g3journal/jkab366] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Accepted: 10/15/2021] [Indexed: 11/26/2022]
Abstract
Broadly distributed species must cope with diverse and changing environmental conditions, including various forms of stress. Cosmopolitan populations of Drosophila melanogaster are more tolerant to oxidative stress than those from the species’ ancestral range in sub-Saharan Africa, and the degree of tolerance is associated with an insertion/deletion polymorphism in the 3′ untranslated region of the Metallothionein A (MtnA) gene that varies clinally in frequency. We examined oxidative stress tolerance and the transcriptional response to oxidative stress in cosmopolitan and sub-Saharan African populations of D. melanogaster, including paired samples with allelic differences at the MtnA locus. We found that the effect of the MtnA polymorphism on oxidative stress tolerance was dependent on the genomic background, with the deletion allele increasing tolerance only in a northern, temperate population. Genes that were differentially expressed under oxidative stress included MtnA and other metallothioneins, as well as those involved in glutathione metabolism and other genes known to be part of the oxidative stress response or the general stress response. A gene coexpression analysis revealed further genes and pathways that respond to oxidative stress including those involved in additional metabolic processes, autophagy, and apoptosis. There was a significant overlap among the genes induced by oxidative and cold stress, which suggests a shared response pathway to these two stresses. Interestingly, the MtnA deletion was associated with consistent changes in the expression of many genes across all genomic backgrounds, regardless of the expression level of the MtnA gene itself. We hypothesize that this is an indirect effect driven by the loss of microRNA binding sites within the MtnA 3′ untranslated region.
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Affiliation(s)
- Timothy J S Ramnarine
- Division of Evolutionary Biology, Faculty of Biology, Ludwig-Maximilians-Universität (LMU) München, Planegg-Martinsried 82152, Germany
| | - Sonja Grath
- Division of Evolutionary Biology, Faculty of Biology, Ludwig-Maximilians-Universität (LMU) München, Planegg-Martinsried 82152, Germany
| | - John Parsch
- Division of Evolutionary Biology, Faculty of Biology, Ludwig-Maximilians-Universität (LMU) München, Planegg-Martinsried 82152, Germany
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40
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López-Varea A, Ostalé CM, Vega-Cuesta P, Ruiz-Gómez A, Organista MF, Martín M, Hevia CF, Molnar C, de Celis J, Culi J, Esteban N, de Celis JF. Genome-wide Phenotypic RNAi Screen in the Drosophila Wing: Global Parameters. G3-GENES GENOMES GENETICS 2021; 11:6380435. [PMID: 34599819 PMCID: PMC8962446 DOI: 10.1093/g3journal/jkab351] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Accepted: 08/27/2021] [Indexed: 11/17/2022]
Abstract
We have screened a collection of UAS-RNAi lines targeting 10,920 Drosophila protein-coding genes for phenotypes in the adult wing. We identified 3653 genes (33%) whose knockdown causes either larval/pupal lethality or a mutant phenotype affecting the formation of a normal wing. The most frequent phenotypes consist of changes in wing size, vein differentiation, and patterning, defects in the wing margin and in the apposition of the dorsal and ventral wing surfaces. We also defined 16 functional categories encompassing the most relevant aspect of each protein function and assigned each Drosophila gene to one of these functional groups. This allowed us to identify which mutant phenotypes are enriched within each functional group. Finally, we used previously published gene expression datasets to determine which genes are or are not expressed in the wing disc. Integrating expression, phenotypic and molecular information offers considerable precision to identify the relevant genes affecting wing formation and the biological processes regulated by them.
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Affiliation(s)
- Ana López-Varea
- Centro de Biología Molecular "Severo Ochoa", CSIC and Universidad Autónoma de Madrid, Madrid 28049, Spain
| | - Cristina M Ostalé
- Centro de Biología Molecular "Severo Ochoa", CSIC and Universidad Autónoma de Madrid, Madrid 28049, Spain
| | - Patricia Vega-Cuesta
- Centro de Biología Molecular "Severo Ochoa", CSIC and Universidad Autónoma de Madrid, Madrid 28049, Spain
| | - Ana Ruiz-Gómez
- Centro de Biología Molecular "Severo Ochoa", CSIC and Universidad Autónoma de Madrid, Madrid 28049, Spain
| | - María F Organista
- Centro de Biología Molecular "Severo Ochoa", CSIC and Universidad Autónoma de Madrid, Madrid 28049, Spain
| | - Mercedes Martín
- Centro de Biología Molecular "Severo Ochoa", CSIC and Universidad Autónoma de Madrid, Madrid 28049, Spain
| | - Covadonga F Hevia
- Centro de Biología Molecular "Severo Ochoa", CSIC and Universidad Autónoma de Madrid, Madrid 28049, Spain
| | - Cristina Molnar
- Centro de Biología Molecular "Severo Ochoa", CSIC and Universidad Autónoma de Madrid, Madrid 28049, Spain
| | - Jesús de Celis
- Centro de Biología Molecular "Severo Ochoa", CSIC and Universidad Autónoma de Madrid, Madrid 28049, Spain
| | - Joaquim Culi
- Centro de Biología Molecular "Severo Ochoa", CSIC and Universidad Autónoma de Madrid, Madrid 28049, Spain
| | - Nuria Esteban
- Centro de Biología Molecular "Severo Ochoa", CSIC and Universidad Autónoma de Madrid, Madrid 28049, Spain
| | - Jose F de Celis
- Centro de Biología Molecular "Severo Ochoa", CSIC and Universidad Autónoma de Madrid, Madrid 28049, Spain
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41
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Kainth AS, Chowdhary S, Pincus D, Gross DS. Primordial super-enhancers: heat shock-induced chromatin organization in yeast. Trends Cell Biol 2021; 31:801-813. [PMID: 34001402 PMCID: PMC8448919 DOI: 10.1016/j.tcb.2021.04.004] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Revised: 03/30/2021] [Accepted: 04/09/2021] [Indexed: 01/29/2023]
Abstract
Specialized mechanisms ensure proper expression of critically important genes such as those specifying cell identity or conferring protection from environmental stress. Investigations of the heat shock response have been critical in elucidating basic concepts of transcriptional control. Recent studies demonstrate that in response to thermal stress, heat shock-responsive genes associate with high levels of transcriptional activators and coactivators and those in yeast intensely interact across and between chromosomes, coalescing into condensates. In mammalian cells, cell identity genes that are regulated by super-enhancers (SEs) are also densely occupied by transcriptional machinery that form phase-separated condensates. We suggest that the stress-remodeled yeast nucleome bears functional and structural resemblance to mammalian SEs, and will reveal fundamental mechanisms of gene control by transcriptional condensates.
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Affiliation(s)
- Amoldeep S Kainth
- Department of Biochemistry and Molecular Biology, Louisiana State University Health Sciences Center, Shreveport, LA 71130, USA; Department of Molecular Genetics and Cell Biology, The University of Chicago, Chicago, IL 60637, USA
| | - Surabhi Chowdhary
- Department of Biochemistry and Molecular Biology, Louisiana State University Health Sciences Center, Shreveport, LA 71130, USA; Department of Molecular Genetics and Cell Biology, The University of Chicago, Chicago, IL 60637, USA
| | - David Pincus
- Department of Molecular Genetics and Cell Biology, The University of Chicago, Chicago, IL 60637, USA.
| | - David S Gross
- Department of Biochemistry and Molecular Biology, Louisiana State University Health Sciences Center, Shreveport, LA 71130, USA.
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42
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Hopes T, Norris K, Agapiou M, McCarthy CGP, Lewis PA, O'Connell MJ, Fontana J, Aspden JL. Ribosome heterogeneity in Drosophila melanogaster gonads through paralog-switching. Nucleic Acids Res 2021; 50:2240-2257. [PMID: 34283226 PMCID: PMC8887423 DOI: 10.1093/nar/gkab606] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Revised: 06/23/2021] [Accepted: 07/02/2021] [Indexed: 12/02/2022] Open
Abstract
Ribosomes have long been thought of as homogeneous macromolecular machines, but recent evidence suggests they are heterogeneous and could be specialised to regulate translation. Here, we have characterised ribosomal protein heterogeneity across 4 tissues of Drosophila melanogaster. We find that testes and ovaries contain the most heterogeneous ribosome populations, which occurs through a combination of paralog-enrichment and paralog-switching. We have solved structures of ribosomes purified from in vivo tissues by cryo-EM, revealing differences in precise ribosomal arrangement for testis and ovary 80S ribosomes. Differences in the amino acid composition of paralog pairs and their localisation on the ribosome exterior indicate paralog-switching could alter the ribosome surface, enabling different proteins to regulate translation. One testis-specific paralog-switching pair is also found in humans, suggesting this is a conserved site of ribosome heterogeneity. Overall, this work allows us to propose that mRNA translation might be regulated in the gonads through ribosome heterogeneity, providing a potential means of ribosome specialisation.
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Affiliation(s)
- Tayah Hopes
- School of Molecular and Cellular Biology, Faculty of Biological Sciences, University of Leeds, Leeds LS2 9JT, UK.,LeedsOmics, University of Leeds, Leeds, UK
| | - Karl Norris
- School of Molecular and Cellular Biology, Faculty of Biological Sciences, University of Leeds, Leeds LS2 9JT, UK.,LeedsOmics, University of Leeds, Leeds, UK.,Astbury Centre for Structural Molecular Biology, University of Leeds, Leeds LS2 9JT, UK
| | - Michaela Agapiou
- School of Molecular and Cellular Biology, Faculty of Biological Sciences, University of Leeds, Leeds LS2 9JT, UK.,LeedsOmics, University of Leeds, Leeds, UK.,Astbury Centre for Structural Molecular Biology, University of Leeds, Leeds LS2 9JT, UK
| | - Charley G P McCarthy
- School of Life Sciences, Faculty of Medicine and Health Sciences, The University of Nottingham, Nottingham NG7 2RD, UK
| | - Philip A Lewis
- School of Cellular and Molecular Medicine, Faculty of Life Sciences, University of Bristol, Bristol BS8 1TD, UK
| | - Mary J O'Connell
- School of Life Sciences, Faculty of Medicine and Health Sciences, The University of Nottingham, Nottingham NG7 2RD, UK
| | - Juan Fontana
- School of Molecular and Cellular Biology, Faculty of Biological Sciences, University of Leeds, Leeds LS2 9JT, UK.,Astbury Centre for Structural Molecular Biology, University of Leeds, Leeds LS2 9JT, UK
| | - Julie L Aspden
- School of Molecular and Cellular Biology, Faculty of Biological Sciences, University of Leeds, Leeds LS2 9JT, UK.,LeedsOmics, University of Leeds, Leeds, UK
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43
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Byrns CN, Saikumar J, Bonini NM. Glial AP1 is activated with aging and accelerated by traumatic brain injury. NATURE AGING 2021; 1:585-597. [PMID: 34723199 PMCID: PMC8553014 DOI: 10.1038/s43587-021-00072-0] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Accepted: 04/30/2021] [Indexed: 01/05/2023]
Abstract
The emergence of degenerative disease after traumatic brain injury is often described as an acceleration of normal age-related processes. Whether similar molecular processes occur after injury and in age is unclear. Here we identify a functionally dynamic and lasting transcriptional response in glia, mediated by the conserved transcription factor AP1. In the early post-TBI period, glial AP1 is essential for recovery, ensuring brain integrity and animal survival. In sharp contrast, chronic AP1 activation promotes human tau pathology, tissue loss, and mortality. We show a similar process activates in healthy fly brains with age. In humans, AP1 activity is detected after moderate TBI and correlates with microglial activation and tau pathology. Our data provide key molecular insight into glia, highlighting that the same molecular process drives dynamic and contradictory glia behavior in TBI, and possibly age, first acting to protect but chronically promoting disease.
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Affiliation(s)
- China N Byrns
- Medical Scientist Training Program, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Neuroscience Graduate Group, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Janani Saikumar
- Department of Biology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Nancy M Bonini
- Neuroscience Graduate Group, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Biology, University of Pennsylvania, Philadelphia, PA 19104, USA
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44
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Hagen JFD, Mendes CC, Booth SR, Figueras Jimenez J, Tanaka KM, Franke FA, Baudouin-Gonzalez L, Ridgway AM, Arif S, Nunes MDS, McGregor AP. Unraveling the Genetic Basis for the Rapid Diversification of Male Genitalia between Drosophila Species. Mol Biol Evol 2021; 38:437-448. [PMID: 32931587 PMCID: PMC7826188 DOI: 10.1093/molbev/msaa232] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023] Open
Abstract
In the last 240,000 years, males of the Drosophila simulans species clade have evolved striking differences in the morphology of their epandrial posterior lobes and claspers (surstyli). These appendages are used for grasping the female during mating and so their divergence is most likely driven by sexual selection. Mapping studies indicate a highly polygenic and generally additive genetic basis for these morphological differences. However, we have limited understanding of the gene regulatory networks that control the development of genital structures and how they evolved to result in this rapid phenotypic diversification. Here, we used new D. simulans/D. mauritiana introgression lines on chromosome arm 3L to generate higher resolution maps of posterior lobe and clasper differences between these species. We then carried out RNA-seq on the developing genitalia of both species to identify the expressed genes and those that are differentially expressed between the two species. This allowed us to test the function of expressed positional candidates during genital development in D. melanogaster. We identified several new genes involved in the development and possibly the evolution of these genital structures, including the transcription factors Hairy and Grunge. Furthermore, we discovered that during clasper development Hairy negatively regulates tartan (trn), a gene known to contribute to divergence in clasper morphology. Taken together, our results provide new insights into the regulation of genital development and how this has evolved between species.
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Affiliation(s)
- Joanna F D Hagen
- Department of Biological and Medical Sciences, Oxford Brookes University, Oxford, United Kingdom
| | - Cláudia C Mendes
- Department of Biological and Medical Sciences, Oxford Brookes University, Oxford, United Kingdom
| | - Shamma R Booth
- Department of Biological and Medical Sciences, Oxford Brookes University, Oxford, United Kingdom
| | - Javier Figueras Jimenez
- Department of Biological and Medical Sciences, Oxford Brookes University, Oxford, United Kingdom
| | - Kentaro M Tanaka
- Department of Biological and Medical Sciences, Oxford Brookes University, Oxford, United Kingdom
| | - Franziska A Franke
- Department of Biological and Medical Sciences, Oxford Brookes University, Oxford, United Kingdom
| | - Luis Baudouin-Gonzalez
- Department of Biological and Medical Sciences, Oxford Brookes University, Oxford, United Kingdom
| | - Amber M Ridgway
- Department of Biological and Medical Sciences, Oxford Brookes University, Oxford, United Kingdom
| | - Saad Arif
- Department of Biological and Medical Sciences, Oxford Brookes University, Oxford, United Kingdom.,Centre for Functional Genomics, Oxford Brookes University, Oxford, United Kingdom
| | - Maria D S Nunes
- Department of Biological and Medical Sciences, Oxford Brookes University, Oxford, United Kingdom.,Centre for Functional Genomics, Oxford Brookes University, Oxford, United Kingdom
| | - Alistair P McGregor
- Department of Biological and Medical Sciences, Oxford Brookes University, Oxford, United Kingdom.,Centre for Functional Genomics, Oxford Brookes University, Oxford, United Kingdom
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45
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Bornstein B, Meltzer H, Adler R, Alyagor I, Berkun V, Cummings G, Reh F, Keren‐Shaul H, David E, Riemensperger T, Schuldiner O. Transneuronal Dpr12/DIP-δ interactions facilitate compartmentalized dopaminergic innervation of Drosophila mushroom body axons. EMBO J 2021; 40:e105763. [PMID: 33847376 PMCID: PMC8204868 DOI: 10.15252/embj.2020105763] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Revised: 02/11/2021] [Accepted: 02/19/2021] [Indexed: 12/31/2022] Open
Abstract
The mechanisms controlling wiring of neuronal networks are not completely understood. The stereotypic architecture of the Drosophila mushroom body (MB) offers a unique system to study circuit assembly. The adult medial MB γ-lobe is comprised of a long bundle of axons that wire with specific modulatory and output neurons in a tiled manner, defining five distinct zones. We found that the immunoglobulin superfamily protein Dpr12 is cell-autonomously required in γ-neurons for their developmental regrowth into the distal γ4/5 zones, where both Dpr12 and its interacting protein, DIP-δ, are enriched. DIP-δ functions in a subset of dopaminergic neurons that wire with γ-neurons within the γ4/5 zone. During metamorphosis, these dopaminergic projections arrive to the γ4/5 zone prior to γ-axons, suggesting that γ-axons extend through a prepatterned region. Thus, Dpr12/DIP-δ transneuronal interaction is required for γ4/5 zone formation. Our study sheds light onto molecular and cellular mechanisms underlying circuit formation within subcellular resolution.
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Affiliation(s)
- Bavat Bornstein
- Department of Molecular Cell BiologyWeizmann Institute of ScienceRehovotIsrael
| | - Hagar Meltzer
- Department of Molecular Cell BiologyWeizmann Institute of ScienceRehovotIsrael
| | - Ruth Adler
- Department of Molecular Cell BiologyWeizmann Institute of ScienceRehovotIsrael
| | - Idan Alyagor
- Department of Molecular Cell BiologyWeizmann Institute of ScienceRehovotIsrael
| | - Victoria Berkun
- Department of Molecular Cell BiologyWeizmann Institute of ScienceRehovotIsrael
| | - Gideon Cummings
- Department of Molecular Cell BiologyWeizmann Institute of ScienceRehovotIsrael
| | - Fabienne Reh
- Institute of ZoologyUniversity of CologneKölnGermany
| | - Hadas Keren‐Shaul
- Department of ImmunologyWeizmann Institute of ScienceRehovotIsrael
- Life Science Core FacilityWeizmann Institute of ScienceRehovotIsrael
| | - Eyal David
- Department of ImmunologyWeizmann Institute of ScienceRehovotIsrael
| | | | - Oren Schuldiner
- Department of Molecular Cell BiologyWeizmann Institute of ScienceRehovotIsrael
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46
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Yang P, Wang D, Guo W, Kang L. FAWMine: An integrated database and analysis platform for fall armyworm genomics. INSECT SCIENCE 2021; 28:590-601. [PMID: 33511767 DOI: 10.1111/1744-7917.12903] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Revised: 12/14/2020] [Accepted: 12/31/2020] [Indexed: 06/12/2023]
Abstract
Fall armyworm (Spodoptera frugiperda), a native insect species in the Americas, is rapidly becoming a major agricultural pest worldwide and is causing great damage to corn, rice, soybeans, and other crops. To control this pest, scientists have accumulated a great deal of high-throughput data of fall armyworm, and nine versions of its genomes and transcriptomes have been published. However, easily accessing and performing integrated analysis of these omics data sets is challenging. Here, we developed the Fall Armyworm Genome Database (FAWMine, http://159.226.67.243:8080/fawmine/) to maintain genome sequences, structural and functional annotations, transcriptomes, co-expression, protein interactions, homologs, pathways, and single-nucleotide variations. FAWMine provides a powerful framework that helps users to perform flexible and customized searching, present integrated data sets using diverse visualization methods, output results tables in a range of file formats, analyze candidate gene lists using multiple widgets, and query data available in other InterMine systems. Additionally, stand-alone JBrowse and BLAST services are also established, allowing the users to visualize RNA-Seq data and search genome and annotated gene sequences. Altogether, FAWMine is a useful tool for querying, visualizing, and analyzing compiled data sets rapidly and efficiently. FAWMine will be continually updated to function as a community resource for fall armyworm genomics and pest control research.
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Affiliation(s)
- Pengcheng Yang
- Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing, 100101, China
- State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Depin Wang
- Sino-Danish College, University of Chinese Academy of Sciences, Beijing, 101408, China
| | - Wei Guo
- State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- CAS Center for Excellence in Biotic Interactions, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Le Kang
- Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing, 100101, China
- State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- CAS Center for Excellence in Biotic Interactions, University of Chinese Academy of Sciences, Beijing, 100049, China
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47
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Palmateer CM, Moseley SC, Ray S, Brovero SG, Arbeitman MN. Analysis of cell-type-specific chromatin modifications and gene expression in Drosophila neurons that direct reproductive behavior. PLoS Genet 2021; 17:e1009240. [PMID: 33901168 PMCID: PMC8102012 DOI: 10.1371/journal.pgen.1009240] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Revised: 05/06/2021] [Accepted: 04/05/2021] [Indexed: 02/06/2023] Open
Abstract
Examining the role of chromatin modifications and gene expression in neurons is critical for understanding how the potential for behaviors are established and maintained. We investigate this question by examining Drosophila melanogaster fru P1 neurons that underlie reproductive behaviors in both sexes. We developed a method to purify cell-type-specific chromatin (Chromatag), using a tagged histone H2B variant that is expressed using the versatile Gal4/UAS gene expression system. Here, we use Chromatag to evaluate five chromatin modifications, at three life stages in both sexes. We find substantial changes in chromatin modification profiles across development and fewer differences between males and females. Additionally, we find chromatin modifications that persist in different sets of genes from pupal to adult stages, which may point to genes important for cell fate determination in fru P1 neurons. We generated cell-type-specific RNA-seq data sets, using translating ribosome affinity purification (TRAP). We identify actively translated genes in fru P1 neurons, revealing novel stage- and sex-differences in gene expression. We also find chromatin modification enrichment patterns that are associated with gene expression. Next, we use the chromatin modification data to identify cell-type-specific super-enhancer-containing genes. We show that genes with super-enhancers in fru P1 neurons differ across development and between the sexes. We validated that a set of genes are expressed in fru P1 neurons, which were chosen based on having a super-enhancer and TRAP-enriched expression in fru P1 neurons.
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Affiliation(s)
- Colleen M. Palmateer
- Department of Biomedical Sciences, Florida State University, College of Medicine, Tallahassee, Florida, United States of America
| | - Shawn C. Moseley
- Department of Biomedical Sciences, Florida State University, College of Medicine, Tallahassee, Florida, United States of America
| | - Surjyendu Ray
- Department of Biomedical Sciences, Florida State University, College of Medicine, Tallahassee, Florida, United States of America
| | - Savannah G. Brovero
- Department of Biomedical Sciences, Florida State University, College of Medicine, Tallahassee, Florida, United States of America
| | - Michelle N. Arbeitman
- Department of Biomedical Sciences, Florida State University, College of Medicine, Tallahassee, Florida, United States of America
- Program of Neuroscience, Florida State University, Tallahassee, Florida, United States of America
- * E-mail:
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48
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Duncan EJ, Leask MP, Dearden PK. Genome Architecture Facilitates Phenotypic Plasticity in the Honeybee (Apis mellifera). Mol Biol Evol 2021; 37:1964-1978. [PMID: 32134461 PMCID: PMC7306700 DOI: 10.1093/molbev/msaa057] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023] Open
Abstract
Phenotypic plasticity, the ability of an organism to alter its phenotype in response to an environmental cue, facilitates rapid adaptation to changing environments. Plastic changes in morphology and behavior are underpinned by widespread gene expression changes. However, it is unknown if, or how, genomes are structured to ensure these robust responses. Here, we use repression of honeybee worker ovaries as a model of plasticity. We show that the honeybee genome is structured with respect to plasticity; genes that respond to an environmental trigger are colocated in the honeybee genome in a series of gene clusters, many of which have been assembled in the last 80 My during the evolution of the Apidae. These clusters are marked by histone modifications that prefigure the gene expression changes that occur as the ovary activates, suggesting that these genomic regions are poised to respond plastically. That the linear sequence of the honeybee genome is organized to coordinate widespread gene expression changes in response to environmental influences and that the chromatin organization in these regions is prefigured to respond to these influences is perhaps unexpected and has implications for other examples of plasticity in physiology, evolution, and human disease.
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Affiliation(s)
- Elizabeth J Duncan
- Genomics Aotearoa and Biochemistry Department, University of Otago, Dunedin, New Zealand.,School of Biology, Faculty of Biological Sciences, University of Leeds, Leeds, United Kingdom
| | - Megan P Leask
- Genomics Aotearoa and Biochemistry Department, University of Otago, Dunedin, New Zealand
| | - Peter K Dearden
- Genomics Aotearoa and Biochemistry Department, University of Otago, Dunedin, New Zealand
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49
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Kingsley NB, Hamilton NA, Lindgren G, Orlando L, Bailey E, Brooks S, McCue M, Kalbfleisch TS, MacLeod JN, Petersen JL, Finno CJ, Bellone RR. "Adopt-a-Tissue" Initiative Advances Efforts to Identify Tissue-Specific Histone Marks in the Mare. Front Genet 2021; 12:649959. [PMID: 33841506 PMCID: PMC8033197 DOI: 10.3389/fgene.2021.649959] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Accepted: 03/01/2021] [Indexed: 12/13/2022] Open
Affiliation(s)
- N B Kingsley
- Veterinary Genetics Laboratory, School of Veterinary Medicine, University of California, Davis, Davis, CA, United States.,Department of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, Davis, CA, United States
| | - Natasha A Hamilton
- Faculty of Science, School of Life and Environmental Science, University of Sydney, Camperdown, NSW, Australia
| | - Gabriella Lindgren
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden.,Livestock Genetics, Department of Biosystems, KU Leuven, Leuven, Belgium
| | - Ludovic Orlando
- Centre d'Anthropobiologie et Génomique de Toulouse (CAGT), Faculté de Médecine Purpan, Université Toulouse III-Paul Sabatier, Toulouse, France
| | - Ernie Bailey
- Maxwell H. Gluck Equine Research Center, Department of Veterinary Science, University of Kentucky, Lexington, KY, United States
| | - Samantha Brooks
- Department of Animal Sciences, University of Florida, Gainesville, FL, United States
| | - Molly McCue
- Department of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, St. Paul, MN, United States
| | - T S Kalbfleisch
- Maxwell H. Gluck Equine Research Center, Department of Veterinary Science, University of Kentucky, Lexington, KY, United States
| | - James N MacLeod
- Maxwell H. Gluck Equine Research Center, Department of Veterinary Science, University of Kentucky, Lexington, KY, United States
| | - Jessica L Petersen
- Department of Animal Science, University of Nebraska-Lincoln, Lincoln, NE, United States
| | - Carrie J Finno
- Department of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, Davis, CA, United States
| | - Rebecca R Bellone
- Veterinary Genetics Laboratory, School of Veterinary Medicine, University of California, Davis, Davis, CA, United States.,Department of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, Davis, CA, United States
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50
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Drosophila Fezf functions as a transcriptional repressor to direct layer-specific synaptic connectivity in the fly visual system. Proc Natl Acad Sci U S A 2021; 118:2025530118. [PMID: 33766917 PMCID: PMC8020669 DOI: 10.1073/pnas.2025530118] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Functionally relevant neuronal connections are often organized within discrete layers of neuropil to ensure proper connectivity and information processing. While layer-specific assembly of neuronal connectivity is a dynamic process involving stepwise interactions between different neuron types, the mechanisms underlying this critical developmental process are not well understood. Here, we investigate the role of the transcription factor dFezf in layer selection within the Drosophila visual system, which is important for synaptic specificity. Our findings show that dFezf functions as a transcriptional repressor governing the precise temporal expression pattern of downstream genes, including other transcription factors required for proper connectivity. Layer-specific assembly of neuronal connectivity in the fly visual system is thus orchestrated by precise, temporally controlled transcriptional cascades. The layered compartmentalization of synaptic connections, a common feature of nervous systems, underlies proper connectivity between neurons and enables parallel processing of neural information. However, the stepwise development of layered neuronal connections is not well understood. The medulla neuropil of the Drosophila visual system, which comprises 10 discrete layers (M1 to M10), where neural computations underlying distinct visual features are processed, serves as a model system for understanding layered synaptic connectivity. The first step in establishing layer-specific connectivity in the outer medulla (M1 to M6) is the innervation by lamina (L) neurons of one of two broad, primordial domains that will subsequently expand and transform into discrete layers. We previously found that the transcription factor dFezf cell-autonomously directs L3 lamina neurons to their proper primordial broad domain before they form synapses within the developing M3 layer. Here, we show that dFezf controls L3 broad domain selection through temporally precise transcriptional repression of the transcription factor slp1 (sloppy paired 1). In wild-type L3 neurons, slp1 is transiently expressed at a low level during broad domain selection. When dFezf is deleted, slp1 expression is up-regulated, and ablation of slp1 fully rescues the defect of broad domain selection in dFezf-null L3 neurons. Although the early, transient expression of slp1 is expendable for broad domain selection, it is surprisingly necessary for the subsequent L3 innervation of the M3 layer. DFezf thus functions as a transcriptional repressor to coordinate the temporal dynamics of a transcriptional cascade that orchestrates sequential steps of layer-specific synapse formation.
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