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Kaufholz F, Ulrich J, Hakeemi MS, Bucher G. Temporal control of RNAi reveals both robust and labile feedback loops in the segmentation clock of the red flour beetle. Proc Natl Acad Sci U S A 2024; 121:e2318229121. [PMID: 38865277 PMCID: PMC11194489 DOI: 10.1073/pnas.2318229121] [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: 10/19/2023] [Accepted: 05/03/2024] [Indexed: 06/14/2024] Open
Abstract
Animals from all major clades have evolved a segmented trunk, reflected in the human spine or the insect segments. These units emerge during embryogenesis from a posterior segment addition zone (SAZ), where repetitive gene activity is regulated by a mechanism described by the clock and wavefront/speed gradient model. In the red flour beetle Tribolium castaneum, RNA interference (RNAi) has been used to continuously knock down the function of primary pair-rule genes (pPRGs), caudal or Wnt pathway components, which has led to the complete breakdown of segmentation. However, it has remained untested, if this breakdown was reversible by bringing the missing gene function back to the system. To fill this gap, we established a transgenic system in T. castaneum, which allows blocking an ongoing RNAi effect with temporal control by expressing a viral inhibitor of RNAi via heat shock. We show that the T. castaneum segmentation machinery was able to reestablish after RNAi targeting the pPRGs Tc-eve, Tc-odd, and Tc-runt was blocked. However, we observed no rescue after blocking RNAi targeting Wnt pathway components. We conclude that the insect segmentation system contains both robust feedback loops that can reestablish and labile feedback loops that break down irreversibly. This combination may reconcile conflicting needs of the system: Labile systems controlling initiation and maintenance of the SAZ ensure that only one SAZ is formed. Robust feedback loops confer developmental robustness toward external disturbances.
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Affiliation(s)
- Felix Kaufholz
- Göttingen Graduate School for Neurosciences, Biophysics, and Molecular Biosciences, Göttingen37077, Germany
- Department of Evolutionary Developmental Genetics, University of Göttingen, Johann-Friedrich-Blumenbach Institute, Göttingen Center for Molecular Biosciences, Göttingen37077, Germany
| | - Julia Ulrich
- Department of Evolutionary Developmental Genetics, University of Göttingen, Johann-Friedrich-Blumenbach Institute, Göttingen Center for Molecular Biosciences, Göttingen37077, Germany
| | - Muhammad Salim Hakeemi
- Department of Evolutionary Developmental Genetics, University of Göttingen, Johann-Friedrich-Blumenbach Institute, Göttingen Center for Molecular Biosciences, Göttingen37077, Germany
| | - Gregor Bucher
- Department of Evolutionary Developmental Genetics, University of Göttingen, Johann-Friedrich-Blumenbach Institute, Göttingen Center for Molecular Biosciences, Göttingen37077, Germany
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2
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Reid W, Sterling-Lentsch G, Halfon MS. Improved methodology for fixation and preparation of Aedes aegypti embryos. PLoS One 2024; 19:e0304802. [PMID: 38820371 PMCID: PMC11142583 DOI: 10.1371/journal.pone.0304802] [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: 01/02/2024] [Accepted: 05/16/2024] [Indexed: 06/02/2024] Open
Abstract
The yellow fever mosquito Aedes aegypti is a major disease vector and an increasingly popular emerging model research organism. We present here an improved protocol for the collection, fixation, and preparation of A. aegypti embryos for immunohistochemical and in situ hybridization studies. The processing of A. aegypti embryos for such studies is complicated by the inability to easily remove the vitelline membrane, which prevents the reagents needed for staining from reaching their targets, and which furthermore obscures visualization of the embryo since the membrane is highly sclerotized. Previously described protocols for removal of the vitelline membrane are very low throughput, limiting the capacity of work that can be accomplished in a reasonable timeframe. Our adapted protocol increases the throughput capacity of embryos by an individual user, with experienced users able to prepare an average of 100-150 embryos per hour. The protocol provides high-quality intact embryos that can be used for morphological, immunohistochemical, and in situ hybridization studies. The protocol has been successfully tested on embryos of ages ranging from 14h after egg laying (AEL) at 27°C through to 55h AEL. Critical to the success of the optimized protocol is the selection, fabrication, and description of the tools required. To this end, a video-demonstrated protocol has been placed at protocols.io to clarify the protocol and provide easy access and training to anyone interested in the preparation of A. aegypti embryos for biological studies.
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Affiliation(s)
- William Reid
- Department of Biochemistry, University at Buffalo-State University of New York, Buffalo, NY, United States of America
| | - Geyenna Sterling-Lentsch
- Department of Biochemistry, University at Buffalo-State University of New York, Buffalo, NY, United States of America
| | - Marc S. Halfon
- Department of Biochemistry, University at Buffalo-State University of New York, Buffalo, NY, United States of America
- Department of Biomedical Informatics, University at Buffalo-State University of New York, Buffalo, NY, United States of America
- Department of Biological Sciences, University at Buffalo-State University of New York, Buffalo, NY, United States of America
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3
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Estevez-Castro CF, Rodrigues MF, Babarit A, Ferreira FV, de Andrade EG, Marois E, Cogni R, Aguiar ERGR, Marques JT, Olmo RP. Neofunctionalization driven by positive selection led to the retention of the loqs2 gene encoding an Aedes specific dsRNA binding protein. BMC Biol 2024; 22:14. [PMID: 38273313 PMCID: PMC10809485 DOI: 10.1186/s12915-024-01821-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 01/10/2024] [Indexed: 01/27/2024] Open
Abstract
BACKGROUND Mosquito borne viruses, such as dengue, Zika, yellow fever and Chikungunya, cause millions of infections every year. These viruses are mostly transmitted by two urban-adapted mosquito species, Aedes aegypti and Aedes albopictus. Although mechanistic understanding remains largely unknown, Aedes mosquitoes may have unique adaptations that lower the impact of viral infection. Recently, we reported the identification of an Aedes specific double-stranded RNA binding protein (dsRBP), named Loqs2, that is involved in the control of infection by dengue and Zika viruses in mosquitoes. Preliminary analyses suggested that the loqs2 gene is a paralog of loquacious (loqs) and r2d2, two co-factors of the RNA interference (RNAi) pathway, a major antiviral mechanism in insects. RESULTS Here we analyzed the origin and evolution of loqs2. Our data suggest that loqs2 originated from two independent duplications of the first double-stranded RNA binding domain of loqs that occurred before the origin of the Aedes Stegomyia subgenus, around 31 million years ago. We show that the loqs2 gene is evolving under relaxed purifying selection at a faster pace than loqs, with evidence of neofunctionalization driven by positive selection. Accordingly, we observed that Loqs2 is localized mainly in the nucleus, different from R2D2 and both isoforms of Loqs that are cytoplasmic. In contrast to r2d2 and loqs, loqs2 expression is stage- and tissue-specific, restricted mostly to reproductive tissues in adult Ae. aegypti and Ae. albopictus. Transgenic mosquitoes engineered to express loqs2 ubiquitously undergo developmental arrest at larval stages that correlates with massive dysregulation of gene expression without major effects on microRNAs or other endogenous small RNAs, classically associated with RNA interference. CONCLUSIONS Our results uncover the peculiar origin and neofunctionalization of loqs2 driven by positive selection. This study shows an example of unique adaptations in Aedes mosquitoes that could ultimately help explain their effectiveness as virus vectors.
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Affiliation(s)
- Carlos F Estevez-Castro
- Department of Biochemistry and Immunology, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, 31270-901, Brazil
- CNRS UPR9022, Inserm U1257, Université de Strasbourg, 67084, Strasbourg, France
| | - Murillo F Rodrigues
- Institute of Ecology and Evolution, University of Oregon, Eugene, OR, 97403-5289, USA
| | - Antinéa Babarit
- CNRS UPR9022, Inserm U1257, Université de Strasbourg, 67084, Strasbourg, France
| | - Flávia V Ferreira
- Department of Biochemistry and Immunology, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, 31270-901, Brazil
| | - Elisa G de Andrade
- Department of Biochemistry and Immunology, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, 31270-901, Brazil
- CNRS UPR9022, Inserm U1257, Université de Strasbourg, 67084, Strasbourg, France
| | - Eric Marois
- CNRS UPR9022, Inserm U1257, Université de Strasbourg, 67084, Strasbourg, France
| | - Rodrigo Cogni
- Department of Ecology, Institute of Biosciences, University of São Paulo, São Paulo, 05508-090, Brazil
| | - Eric R G R Aguiar
- Department of Biological Science, Center of Biotechnology and Genetics, State University of Santa Cruz, Ilhéus, 45662-900, Brazil
| | - João T Marques
- Department of Biochemistry and Immunology, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, 31270-901, Brazil.
- CNRS UPR9022, Inserm U1257, Université de Strasbourg, 67084, Strasbourg, France.
| | - Roenick P Olmo
- Department of Biochemistry and Immunology, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, 31270-901, Brazil.
- CNRS UPR9022, Inserm U1257, Université de Strasbourg, 67084, Strasbourg, France.
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4
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Ryazansky SS, Chen C, Potters M, Naumenko AN, Lukyanchikova V, Masri RA, Brusentsov II, Karagodin DA, Yurchenko AA, Dos Anjos VL, Haba Y, Rose NH, Hoffman J, Guo R, Menna T, Kelley M, Ferrill E, Schultz KE, Qi Y, Sharma A, Deschamps S, Llaca V, Mao C, Murphy TD, Baricheva EM, Emrich S, Fritz ML, Benoit JB, Sharakhov IV, McBride CS, Tu Z, Sharakhova MV. The chromosome-scale genome assembly for the West Nile vector Culex quinquefasciatus uncovers patterns of genome evolution in mosquitoes. BMC Biol 2024; 22:16. [PMID: 38273363 PMCID: PMC10809549 DOI: 10.1186/s12915-024-01825-0] [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: 08/25/2023] [Accepted: 01/11/2024] [Indexed: 01/27/2024] Open
Abstract
BACKGROUND Understanding genome organization and evolution is important for species involved in transmission of human diseases, such as mosquitoes. Anophelinae and Culicinae subfamilies of mosquitoes show striking differences in genome sizes, sex chromosome arrangements, behavior, and ability to transmit pathogens. However, the genomic basis of these differences is not fully understood. METHODS In this study, we used a combination of advanced genome technologies such as Oxford Nanopore Technology sequencing, Hi-C scaffolding, Bionano, and cytogenetic mapping to develop an improved chromosome-scale genome assembly for the West Nile vector Culex quinquefasciatus. RESULTS We then used this assembly to annotate odorant receptors, odorant binding proteins, and transposable elements. A genomic region containing male-specific sequences on chromosome 1 and a polymorphic inversion on chromosome 3 were identified in the Cx. quinquefasciatus genome. In addition, the genome of Cx. quinquefasciatus was compared with the genomes of other mosquitoes such as malaria vectors An. coluzzi and An. albimanus, and the vector of arboviruses Ae. aegypti. Our work confirms significant expansion of the two chemosensory gene families in Cx. quinquefasciatus, as well as a significant increase and relocation of the transposable elements in both Cx. quinquefasciatus and Ae. aegypti relative to the Anophelines. Phylogenetic analysis clarifies the divergence time between the mosquito species. Our study provides new insights into chromosomal evolution in mosquitoes and finds that the X chromosome of Anophelinae and the sex-determining chromosome 1 of Culicinae have a significantly higher rate of evolution than autosomes. CONCLUSION The improved Cx. quinquefasciatus genome assembly uncovered new details of mosquito genome evolution and has the potential to speed up the development of novel vector control strategies.
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Affiliation(s)
- Sergei S Ryazansky
- Department of Entomology, Virginia Polytechnic and State University, Blacksburg, VA, USA
- Department of Molecular Genetics of Cell, NRC "Kurchatov Institute", Moscow, Russia
| | - Chujia Chen
- Genetics, Bioinformatics, Computational Biology Program, Virginia Polytechnic and State University, Blacksburg, VA, USA
| | - Mark Potters
- Department of Biochemistry, Virginia Polytechnic and State University, Blacksburg, USA
| | - Anastasia N Naumenko
- Department of Entomology, Virginia Polytechnic and State University, Blacksburg, VA, USA
- Department of Entomology, University of Maryland, College Park, MD, USA
| | - Varvara Lukyanchikova
- Department of Entomology, Virginia Polytechnic and State University, Blacksburg, VA, USA
- Group of Genomic Mechanisms of Development, Institute of Cytology and Genetics, Novosibirsk, Russia
- Laboratory of Structural and Functional Genomics, Novosibirsk State University, Novosibirsk, Russia
| | - Reem A Masri
- Department of Entomology, Virginia Polytechnic and State University, Blacksburg, VA, USA
| | - Ilya I Brusentsov
- Department of Entomology, Virginia Polytechnic and State University, Blacksburg, VA, USA
- Laboratory of Cell Differentiation Mechanisms, Institute of Cytology and Genetics, Novosibirsk, Russia
| | - Dmitriy A Karagodin
- Laboratory of Cell Differentiation Mechanisms, Institute of Cytology and Genetics, Novosibirsk, Russia
| | - Andrey A Yurchenko
- Department of Entomology, Virginia Polytechnic and State University, Blacksburg, VA, USA
| | - Vitor L Dos Anjos
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA
| | - Yuki Haba
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA
| | - Noah H Rose
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA
| | - Jinna Hoffman
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, 20894, USA
| | - Rong Guo
- Department of Entomology, University of Maryland, College Park, MD, USA
| | - Theresa Menna
- Department of Entomology, University of Maryland, College Park, MD, USA
| | - Melissa Kelley
- Department of Biological Sciences, University of Cincinnati, Cincinnati, OH, USA
| | - Emily Ferrill
- County of San Diego Vector Control Program, San Diego, CA, USA
| | - Karen E Schultz
- Mosquito and Vector Management District of Santa Barbara County, Santa Barbara, CA, USA
| | - Yumin Qi
- Department of Biochemistry, Virginia Polytechnic and State University, Blacksburg, USA
| | - Atashi Sharma
- Department of Biochemistry, Virginia Polytechnic and State University, Blacksburg, USA
| | | | | | - Chunhong Mao
- Biocomplexity Institute & Initiative University of Virginia, Charlottesville, VA, USA
| | - Terence D Murphy
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, 20894, USA
| | - Elina M Baricheva
- Laboratory of Cell Differentiation Mechanisms, Institute of Cytology and Genetics, Novosibirsk, Russia
| | - Scott Emrich
- Department of Electrical Engineering & Computer Science, the University of Tennessee, Knoxville, TN, USA
| | - Megan L Fritz
- Department of Entomology, University of Maryland, College Park, MD, USA
| | - Joshua B Benoit
- Department of Biological Sciences, University of Cincinnati, Cincinnati, OH, USA
| | - Igor V Sharakhov
- Department of Entomology, Virginia Polytechnic and State University, Blacksburg, VA, USA
- Fralin Life Sciences Institute, Virginia Polytechnic and State University, Blacksburg, VA, USA
- Department of Genetics and Cell Biology, Tomsk State University, Tomsk, Russia
| | - Carolyn S McBride
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA
- Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA
| | - Zhijian Tu
- Genetics, Bioinformatics, Computational Biology Program, Virginia Polytechnic and State University, Blacksburg, VA, USA
- Department of Biochemistry, Virginia Polytechnic and State University, Blacksburg, USA
- Fralin Life Sciences Institute, Virginia Polytechnic and State University, Blacksburg, VA, USA
| | - Maria V Sharakhova
- Department of Entomology, Virginia Polytechnic and State University, Blacksburg, VA, USA.
- Laboratory of Cell Differentiation Mechanisms, Institute of Cytology and Genetics, Novosibirsk, Russia.
- Fralin Life Sciences Institute, Virginia Polytechnic and State University, Blacksburg, VA, USA.
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5
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Bryce-Smith S, Burri D, Gazzara MR, Herrmann CJ, Danecka W, Fitzsimmons CM, Wan YK, Zhuang F, Fansler MM, Fernández JM, Ferret M, Gonzalez-Uriarte A, Haynes S, Herdman C, Kanitz A, Katsantoni M, Marini F, McDonnel E, Nicolet B, Poon CL, Rot G, Schärfen L, Wu PJ, Yoon Y, Barash Y, Zavolan M. Extensible benchmarking of methods that identify and quantify polyadenylation sites from RNA-seq data. RNA (NEW YORK, N.Y.) 2023; 29:1839-1855. [PMID: 37816550 PMCID: PMC10653393 DOI: 10.1261/rna.079849.123] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Accepted: 09/21/2023] [Indexed: 10/12/2023]
Abstract
The tremendous rate with which data is generated and analysis methods emerge makes it increasingly difficult to keep track of their domain of applicability, assumptions, limitations, and consequently, of the efficacy and precision with which they solve specific tasks. Therefore, there is an increasing need for benchmarks, and for the provision of infrastructure for continuous method evaluation. APAeval is an international community effort, organized by the RNA Society in 2021, to benchmark tools for the identification and quantification of the usage of alternative polyadenylation (APA) sites from short-read, bulk RNA-sequencing (RNA-seq) data. Here, we reviewed 17 tools and benchmarked eight on their ability to perform APA identification and quantification, using a comprehensive set of RNA-seq experiments comprising real, synthetic, and matched 3'-end sequencing data. To support continuous benchmarking, we have incorporated the results into the OpenEBench online platform, which allows for continuous extension of the set of methods, metrics, and challenges. We envisage that our analyses will assist researchers in selecting the appropriate tools for their studies, while the containers and reproducible workflows could easily be deployed and extended to evaluate new methods or data sets.
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Affiliation(s)
- Sam Bryce-Smith
- Department of Neuromuscular Diseases, UCL Queen Square Motor Neuron Disease Centre, UCL Queen Square Institute of Neurology, UCL, London WC1N 3BG, United Kingdom
| | - Dominik Burri
- Biozentrum, University of Basel, 4056 Basel, Switzerland
- Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
| | - Matthew R Gazzara
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Christina J Herrmann
- Biozentrum, University of Basel, 4056 Basel, Switzerland
- Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
| | - Weronika Danecka
- Institute for Cell Biology, School of Biological Sciences, The University of Edinburgh, Edinburgh EH9 3FF, United Kingdom
| | - Christina M Fitzsimmons
- Laboratory of Cell Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Yuk Kei Wan
- Genome Institute of Singapore, Buona Vista, Singapore 138672
- Yong Loo Lin School of Medicine, National University of Singapore, Kent Ridge, Singapore 119228
| | - Farica Zhuang
- Department of Computer and Information Science, School of Engineering, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Mervin M Fansler
- Tri-Institutional Program in Computational Biology and Medicine, Weill Cornell Graduate Studies, New York, New York 10065, USA
- Cancer Biology and Genetics, Sloan-Kettering Institute, MSKCC, New York, New York 10065, USA
| | - José M Fernández
- Life Sciences Department, Barcelona Supercomputing Center, 08034 Barcelona, Spain
- Spanish National Bioinformatics Institute (INB/ELIXIR-ES), 28029 Madrid, Spain
| | - Meritxell Ferret
- Life Sciences Department, Barcelona Supercomputing Center, 08034 Barcelona, Spain
- Spanish National Bioinformatics Institute (INB/ELIXIR-ES), 28029 Madrid, Spain
| | - Asier Gonzalez-Uriarte
- Life Sciences Department, Barcelona Supercomputing Center, 08034 Barcelona, Spain
- Spanish National Bioinformatics Institute (INB/ELIXIR-ES), 28029 Madrid, Spain
| | - Samuel Haynes
- Institute for Cell Biology, School of Biological Sciences, The University of Edinburgh, Edinburgh EH9 3FF, United Kingdom
| | - Chelsea Herdman
- Department of Neurobiology, University of Utah, Salt Lake City, Utah 84132, USA
| | - Alexander Kanitz
- Biozentrum, University of Basel, 4056 Basel, Switzerland
- Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
| | - Maria Katsantoni
- Biozentrum, University of Basel, 4056 Basel, Switzerland
- Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
| | - Federico Marini
- Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg-University Mainz, 55118 Mainz, Germany
| | - Euan McDonnel
- Leeds Institute for Data Analytics, School of Molecular and Cellular Biology, University of Leeds, Leeds LS2 9NL, United Kingdom
| | - Ben Nicolet
- Department of Hematopoiesis, Sanquin Research, Landsteiner Laboratory, Amsterdam UMC, University of Amsterdam, 1066 CX Amsterdam, The Netherlands
- Oncode Institute, 3521 AL Utrecht, The Netherlands
| | - Chi-Lam Poon
- Graduate School of Medical Sciences, Weill Cornell Medicine, New York, New York 10065, USA
| | - Gregor Rot
- Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
- Institute of Molecular Life Sciences, University of Zurich, 8057 Zurich, Switzerland
| | - Leonard Schärfen
- Department of Molecular Biophysics & Biochemistry, Yale University, New Haven, Connecticut 06520, USA
| | - Pin-Jou Wu
- Center for Plant Molecular Biology (ZMBP), University of Tübingen, 72076 Tübingen, Germany
| | - Yoseop Yoon
- Department of Microbiology and Molecular Genetics, School of Medicine, University of California Irvine, Irvine, California 92617, USA
| | - Yoseph Barash
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
- Department of Computer and Information Science, School of Engineering, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Mihaela Zavolan
- Biozentrum, University of Basel, 4056 Basel, Switzerland
- Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
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6
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Bryce-Smith S, Burri D, Gazzara MR, Herrmann CJ, Danecka W, Fitzsimmons CM, Wan YK, Zhuang F, Fansler MM, Fernández JM, Ferret M, Gonzalez-Uriarte A, Haynes S, Herdman C, Kanitz A, Katsantoni M, Marini F, McDonnel E, Nicolet B, Poon CL, Rot G, Schärfen L, Wu PJ, Yoon Y, Barash Y, Zavolan M. Extensible benchmarking of methods that identify and quantify polyadenylation sites from RNA-seq data. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.06.23.546284. [PMID: 37425672 PMCID: PMC10327023 DOI: 10.1101/2023.06.23.546284] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/11/2023]
Abstract
The tremendous rate with which data is generated and analysis methods emerge makes it increasingly difficult to keep track of their domain of applicability, assumptions, and limitations and consequently, of the efficacy and precision with which they solve specific tasks. Therefore, there is an increasing need for benchmarks, and for the provision of infrastructure for continuous method evaluation. APAeval is an international community effort, organized by the RNA Society in 2021, to benchmark tools for the identification and quantification of the usage of alternative polyadenylation (APA) sites from short-read, bulk RNA-sequencing (RNA-seq) data. Here, we reviewed 17 tools and benchmarked eight on their ability to perform APA identification and quantification, using a comprehensive set of RNA-seq experiments comprising real, synthetic, and matched 3'-end sequencing data. To support continuous benchmarking, we have incorporated the results into the OpenEBench online platform, which allows for seamless extension of the set of methods, metrics, and challenges. We envisage that our analyses will assist researchers in selecting the appropriate tools for their studies. Furthermore, the containers and reproducible workflows generated in the course of this project can be seamlessly deployed and extended in the future to evaluate new methods or datasets.
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Affiliation(s)
- Sam Bryce-Smith
- UCL Queen Square Motor Neuron Disease Centre, Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, UCL, London, UK
| | - Dominik Burri
- Biozentrum, University of Basel, Basel, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Matthew R. Gazzara
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA
| | - Christina J. Herrmann
- Biozentrum, University of Basel, Basel, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Weronika Danecka
- Institute for Cell Biology, School of Biological Sciences, The University of Edinburgh, Edinburgh, United Kingdom
| | - Christina M. Fitzsimmons
- Laboratory of Cell Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Yuk Kei Wan
- Genome Institute of Singapore, Buona Vista, Singapore
- National University of Singapore, Kent Ridge, Singapore
| | - Farica Zhuang
- Department of Computer and Information Science, School of Engineering, University of Pennsylvania, Philadelphia, USA
| | - Mervin M. Fansler
- Tri-Institutional Program in Computational Biology and Medicine, Weill Cornell GraduateStudies, New York, NY, USA
- Cancer Biology and Genetics, Sloan-Kettering Institute, MSKCC, New York, NY, USA
| | - José M. Fernández
- Barcelona Supercomputing Center, Barcelona, Spain
- Spanish National Bioinformatics Institute (INB/ELIXIR-ES)
| | - Meritxell Ferret
- Barcelona Supercomputing Center, Barcelona, Spain
- Spanish National Bioinformatics Institute (INB/ELIXIR-ES)
| | - Asier Gonzalez-Uriarte
- Barcelona Supercomputing Center, Barcelona, Spain
- Spanish National Bioinformatics Institute (INB/ELIXIR-ES)
| | - Samuel Haynes
- Institute for Cell Biology, School of Biological Sciences, The University of Edinburgh, Edinburgh, United Kingdom
| | | | - Alexander Kanitz
- Biozentrum, University of Basel, Basel, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Maria Katsantoni
- Biozentrum, University of Basel, Basel, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Federico Marini
- Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI) - UniversityMedical Center of the Johannes Gutenberg, University Mainz, Germany
| | - Euan McDonnel
- Leeds Institute for Data Analytics, School of Molecular and Cellular Biology, University of Leeds, United Kingdom
| | - Ben Nicolet
- Department of Hematopoiesis, Sanquin Research, Landsteiner Laboratory, AmsterdamUMC, University of Amsterdam, and Oncode Institute, Amsterdam, The Netherlands
| | | | - Gregor Rot
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
- Institute of Molecular Life Sciences, Zurich, Switzerland
| | - Leonard Schärfen
- Department of Molecular Biophysics & Biochemistry, Yale University, New Haven CT, USA
| | - Pin-Jou Wu
- Center for Plant Molecular Biology (ZMBP), University of Tübingen, Germany
| | - Yoseop Yoon
- Department of Microbiology and Molecular Genetics, School of Medicine, University of California Irvine, Irvine, California, USA
| | - Yoseph Barash
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA
- Department of Computer and Information Science, School of Engineering, University of Pennsylvania, Philadelphia, USA
| | - Mihaela Zavolan
- Biozentrum, University of Basel, Basel, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
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7
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Li M, Kasan K, Saha Z, Yoon Y, Schmidt-Ott U. Twenty-seven ZAD-ZNF genes of Drosophila melanogaster are orthologous to the embryo polarity determining mosquito gene cucoid. PLoS One 2023; 18:e0274716. [PMID: 36595500 PMCID: PMC9810180 DOI: 10.1371/journal.pone.0274716] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Accepted: 12/16/2022] [Indexed: 01/04/2023] Open
Abstract
The C2H2 zinc finger gene cucoid establishes anterior-posterior (AP) polarity in the early embryo of culicine mosquitoes. This gene is unrelated to genes that establish embryo polarity in other fly species (Diptera), such as the homeobox gene bicoid, which serves this function in the traditional model organism Drosophila melanogaster. The cucoid gene is a conserved single copy gene across lower dipterans but nothing is known about its function in other species, and its evolution in higher dipterans, including Drosophila, is unresolved. We found that cucoid is a member of the ZAD-containing C2H2 zinc finger (ZAD-ZNF) gene family and is orthologous to 27 of the 91 members of this family in D. melanogaster, including M1BP, ranshi, ouib, nom, zaf1, odj, Nnk, trem, Zif, and eighteen uncharacterized genes. Available knowledge of the functions of cucoid orthologs in Drosophila melanogaster suggest that the progenitor of this lineage specific expansion may have played a role in regulating chromatin. We also describe many aspects of the gene duplication history of cucoid in the brachyceran lineage of D. melanogaster, thereby providing a framework for predicting potential redundancies among these genes in D. melanogaster.
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Affiliation(s)
- Muzi Li
- Dept. of Organismal Biology and Anatomy, University of Chicago, Chicago, IL, United States of America
| | - Koray Kasan
- Dept. of Organismal Biology and Anatomy, University of Chicago, Chicago, IL, United States of America
| | - Zinnia Saha
- Dept. of Organismal Biology and Anatomy, University of Chicago, Chicago, IL, United States of America
| | - Yoseop Yoon
- Dept. of Organismal Biology and Anatomy, University of Chicago, Chicago, IL, United States of America
| | - Urs Schmidt-Ott
- Dept. of Organismal Biology and Anatomy, University of Chicago, Chicago, IL, United States of America
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8
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Nunes-da-Fonseca R. Editorial overview: Development and regulation: Lessons from a multispecies approach. CURRENT OPINION IN INSECT SCIENCE 2022; 51:100917. [PMID: 35358719 DOI: 10.1016/j.cois.2022.100917] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Affiliation(s)
- Rodrigo Nunes-da-Fonseca
- Institute of Biodiversity and Sustainability-NUPEM, Universidade Federal do Rio de Janeiro, Av. São José do Barreto 764 Zip Code: 27965-045, Brazil.
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9
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Schmidt-Ott U, Yoon Y. Evolution and loss of ß-catenin and TCF-dependent axis specification in insects. CURRENT OPINION IN INSECT SCIENCE 2022; 50:100877. [PMID: 35104659 PMCID: PMC9133022 DOI: 10.1016/j.cois.2022.100877] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Revised: 01/06/2022] [Accepted: 01/11/2022] [Indexed: 06/14/2023]
Abstract
Mechanisms and evolution of primary axis specification in insects are discussed in the context of the roles of ß-catenin and TCF in polarizing metazoan embryos. Three hypotheses are presented. First, insects with sequential segmentation and posterior growth use cell-autonomous mechanisms for establishing embryo polarity via the nuclear ratio of ß-catenin and TCF. Second, TCF homologs establish competence for anterior specification. Third, the evolution of simultaneous segmentation mechanisms, also known as long-germ development, resulted in primary axis specification mechanisms that are independent of ß-catenin but reliant on TCF, a condition that preceded the frequent replacement of anterior determinants in long germ insects.
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Affiliation(s)
- Urs Schmidt-Ott
- University of Chicago, Dept. of Organismal Biology and Anatomy, 1027 East 57th Street, Chicago, IL 60637, USA.
| | - Yoseop Yoon
- University of California, Irvine, Dept. of Microbiology and Molecular Genetics, School of Medicine, 811 Health Sciences Rd., Med Sci B262, CA 92617, USA
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10
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Hakeemi MS, Ansari S, Teuscher M, Weißkopf M, Großmann D, Kessel T, Dönitz J, Siemanowski J, Wan X, Schultheis D, Frasch M, Roth S, Schoppmeier M, Klingler M, Bucher G. Screens in fly and beetle reveal vastly divergent gene sets required for developmental processes. BMC Biol 2022; 20:38. [PMID: 35135533 PMCID: PMC8827203 DOI: 10.1186/s12915-022-01231-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Accepted: 01/12/2022] [Indexed: 12/05/2022] Open
Abstract
Background Most of the known genes required for developmental processes have been identified by genetic screens in a few well-studied model organisms, which have been considered representative of related species, and informative—to some degree—for human biology. The fruit fly Drosophila melanogaster is a prime model for insect genetics, and while conservation of many gene functions has been observed among bilaterian animals, a plethora of data show evolutionary divergence of gene function among more closely-related groups, such as within the insects. A quantification of conservation versus divergence of gene functions has been missing, without which it is unclear how representative data from model systems actually are. Results Here, we systematically compare the gene sets required for a number of homologous but divergent developmental processes between fly and beetle in order to quantify the difference of the gene sets. To that end, we expanded our RNAi screen in the red flour beetle Tribolium castaneum to cover more than half of the protein-coding genes. Then we compared the gene sets required for four different developmental processes between beetle and fly. We found that around 50% of the gene functions were identified in the screens of both species while for the rest, phenotypes were revealed only in fly (~ 10%) or beetle (~ 40%) reflecting both technical and biological differences. Accordingly, we were able to annotate novel developmental GO terms for 96 genes studied in this work. With this work, we publish the final dataset for the pupal injection screen of the iBeetle screen reaching a coverage of 87% (13,020 genes). Conclusions We conclude that the gene sets required for a homologous process diverge more than widely believed. Hence, the insights gained in flies may be less representative for insects or protostomes than previously thought, and work in complementary model systems is required to gain a comprehensive picture. The RNAi screening resources developed in this project, the expanding transgenic toolkit, and our large-scale functional data make T. castaneum an excellent model system in that endeavor. Supplementary Information The online version contains supplementary material available at 10.1186/s12915-022-01231-4.
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Affiliation(s)
- Muhammad Salim Hakeemi
- Johann-Friedrich-Blumenbach-Institut, GZMB, University of Göttingen, Justus-von-Liebig-Weg 11, 37077, Göttingen, Germany
| | - Salim Ansari
- Johann-Friedrich-Blumenbach-Institut, GZMB, University of Göttingen, Justus-von-Liebig-Weg 11, 37077, Göttingen, Germany.,Current address: Institute of Clinical Pharmacology, University Medical Center Göttingen, University of Göttingen, Robert-Koch-Str. 40, 37075, Göttingen, Germany
| | - Matthias Teuscher
- Department of Biology, Friedrich-Alexander-University Erlangen-Nürnberg, Staudtstr. 5, 91058, Erlangen, Germany
| | - Matthias Weißkopf
- Department of Biology, Friedrich-Alexander-University Erlangen-Nürnberg, Staudtstr. 5, 91058, Erlangen, Germany
| | - Daniela Großmann
- Johann-Friedrich-Blumenbach-Institut, GZMB, University of Göttingen, Justus-von-Liebig-Weg 11, 37077, Göttingen, Germany.,Current address: Department of Medical Bioinformatics, University Medical Center Göttingen, University of Göttingen, Goldschmidtstr. 1, 37077, Göttingen, Germany
| | - Tobias Kessel
- Department of Biology, Friedrich-Alexander-University Erlangen-Nürnberg, Staudtstr. 5, 91058, Erlangen, Germany.,Current address: Department of Insect Biotechnology, Justus-Liebig-University Giessen, Heinrich-Buff-Ring 26-32, 35392, Gießen, Germany
| | - Jürgen Dönitz
- Johann-Friedrich-Blumenbach-Institut, GZMB, University of Göttingen, Justus-von-Liebig-Weg 11, 37077, Göttingen, Germany
| | - Janna Siemanowski
- Johann-Friedrich-Blumenbach-Institut, GZMB, University of Göttingen, Justus-von-Liebig-Weg 11, 37077, Göttingen, Germany.,Current address: Institute of Pathology, University Hospital Cologne, Kerpener Str. 62, 50924, Cologne, Germany
| | - Xuebin Wan
- Johann-Friedrich-Blumenbach-Institut, GZMB, University of Göttingen, Justus-von-Liebig-Weg 11, 37077, Göttingen, Germany
| | - Dorothea Schultheis
- Department of Biology, Friedrich-Alexander-University Erlangen-Nürnberg, Staudtstr. 5, 91058, Erlangen, Germany.,Current address: Institute of Neuropathology, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nürnberg, Erlangen, Germany
| | - Manfred Frasch
- Department of Biology, Friedrich-Alexander-University Erlangen-Nürnberg, Staudtstr. 5, 91058, Erlangen, Germany
| | - Siegfried Roth
- Institute for Zoology/Developmental Biology, University of Cologne, Biocenter, Zülpicher Straße 47b, D-50674, Köln, Germany
| | - Michael Schoppmeier
- Department of Biology, Friedrich-Alexander-University Erlangen-Nürnberg, Staudtstr. 5, 91058, Erlangen, Germany
| | - Martin Klingler
- Department of Biology, Friedrich-Alexander-University Erlangen-Nürnberg, Staudtstr. 5, 91058, Erlangen, Germany
| | - Gregor Bucher
- Johann-Friedrich-Blumenbach-Institut, GZMB, University of Göttingen, Justus-von-Liebig-Weg 11, 37077, Göttingen, Germany.
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11
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Blondel L, Besse S, Rivard EL, Ylla G, Extavour CG. Evolution of a cytoplasmic determinant: evidence for the biochemical basis of functional evolution of the novel germ line regulator oskar. Mol Biol Evol 2021; 38:5491-5513. [PMID: 34550378 PMCID: PMC8662646 DOI: 10.1093/molbev/msab284] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
Germ line specification is essential in sexually reproducing organisms. Despite their critical role, the evolutionary history of the genes that specify animal germ cells is heterogeneous and dynamic. In many insects, the gene oskar is required for the specification of the germ line. However, the germ line role of oskar is thought to be a derived role resulting from co-option from an ancestral somatic role. To address how evolutionary changes in protein sequence could have led to changes in the function of Oskar protein that enabled it to regulate germ line specification, we searched for oskar orthologs in 1,565 publicly available insect genomic and transcriptomic data sets. The earliest-diverging lineage in which we identified an oskar ortholog was the order Zygentoma (silverfish and firebrats), suggesting that oskar originated before the origin of winged insects. We noted some order-specific trends in oskar sequence evolution, including whole gene duplications, clade-specific losses, and rapid divergence. An alignment of all known 379 Oskar sequences revealed new highly conserved residues as candidates that promote dimerization of the LOTUS domain. Moreover, we identified regions of the OSK domain with conserved predicted RNA binding potential. Furthermore, we show that despite a low overall amino acid conservation, the LOTUS domain shows higher conservation of predicted secondary structure than the OSK domain. Finally, we suggest new key amino acids in the LOTUS domain that may be involved in the previously reported Oskar−Vasa physical interaction that is required for its germ line role.
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Affiliation(s)
- Leo Blondel
- Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA
| | - Savandara Besse
- Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA
| | - Emily L Rivard
- Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA
| | - Guillem Ylla
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA
| | - Cassandra G Extavour
- Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA.,Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA
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12
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Onal P, Gunasinghe HI, Umezawa KY, Zheng M, Ling J, Azeez L, Dalmeus A, Tazin T, Small S. Suboptimal Intermediates Underlie Evolution of the Bicoid Homeodomain. Mol Biol Evol 2021; 38:2179-2190. [PMID: 33599280 PMCID: PMC8136501 DOI: 10.1093/molbev/msab051] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
Changes in regulatory networks generate materials for evolution to create phenotypic diversity. For transcription networks, multiple studies have shown that alterations in binding sites of cis-regulatory elements correlate well with the gain or loss of specific features of the body plan. Less is known about alterations in the amino acid sequences of the transcription factors (TFs) that bind these elements. Here we study the evolution of Bicoid (Bcd), a homeodomain (HD) protein that is critical for anterior embryo patterning in Drosophila. The ancestor of Bcd (AncBcd) emerged after a duplication of a Zerknullt (Zen)-like ancestral protein (AncZB) in a suborder of flies. AncBcd diverged from AncZB, gaining novel transcriptional and translational activities. We focus on the evolution of the HD of AncBcd, which binds to DNA and RNA, and is comprised of four subdomains: an N-terminal arm (NT) and three helices; H1, H2, and Recognition Helix (RH). Using chimeras of subdomains and gene rescue assays in Drosophila, we show that robust patterning activity of the Bcd HD (high frequency rescue to adulthood) is achieved only when amino acid substitutions in three separate subdomains (NT, H1, and RH) are combined. Other combinations of subdomains also yield full rescue, but with lower penetrance, suggesting alternative suboptimal activities. Our results suggest a multistep pathway for the evolution of the Bcd HD that involved intermediate HD sequences with suboptimal activities, which constrained and enabled further evolutionary changes. They also demonstrate critical epistatic forces that contribute to the robust function of a DNA-binding domain.
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Affiliation(s)
- Pinar Onal
- Department of Biology, New York University, New York, NY, USA
| | | | | | - Michael Zheng
- Department of Biology, New York University, New York, NY, USA
| | - Jia Ling
- Department of Biology, New York University, New York, NY, USA
| | - Leen Azeez
- Department of Biology, New York University, New York, NY, USA
| | - Anecine Dalmeus
- Department of Biology, New York University, New York, NY, USA
| | - Tasmima Tazin
- Department of Biology, New York University, New York, NY, USA
| | - Stephen Small
- Department of Biology, New York University, New York, NY, USA
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13
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Popadić A, Tsitlakidou D. Regional patterning and regulation of melanin pigmentation in insects. Curr Opin Genet Dev 2021; 69:163-170. [PMID: 34087530 DOI: 10.1016/j.gde.2021.05.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Revised: 05/04/2021] [Accepted: 05/10/2021] [Indexed: 10/21/2022]
Abstract
Insects display an immense diversity in melanin pigmentation, which is generated by the interplay between the regulatory genes (that provide general patterning information) and effector genes (that provide coloration of the pattern). However, recent studies encompassing several different orders (Hemiptera, Blattodea, Coleoptera, and Lepidoptera) have shown that knockdowns of melanin producing genes alone can generate distinct region-specific patterns. This review surveys the most recent studies to further document the regional patterning of effector genes, and highlights the new advances and their implications for future research.
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Affiliation(s)
- Aleksandar Popadić
- Biological Sciences Department, Wayne State University, Detroit, MI 48202, USA.
| | - Despina Tsitlakidou
- Biological Sciences Department, Wayne State University, Detroit, MI 48202, USA
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14
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Yoon Y, Soles LV, Shi Y. PAS-seq 2: A fast and sensitive method for global profiling of polyadenylated RNAs. Methods Enzymol 2021; 655:25-35. [PMID: 34183125 DOI: 10.1016/bs.mie.2021.03.013] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Alternative polyadenylation (APA) is a widespread phenomenon in eukaryotes that contributes to regulating gene expression and generating proteomic diversity. APA plays critical roles in development and its mis-regulation has been implicated in a wide variety of human diseases, including cancer. To study APA on the transcriptome-wide level, numerous deep sequencing methods that capture 3' end of mRNAs have been developed in the past decade, but they generally require a large amount of hands-on time and/or high RNA input. Here, we introduce PAS-seq 2, a fast and sensitive method for global and quantitative profiling of polyadenylated RNAs. Compared to our original PAS-seq, this method takes less time and requires much lower total RNA input due to improvement in the reverse transcription process. PAS-seq 2 can be applied to both APA and differential gene expression analyses.
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Affiliation(s)
- Yoseop Yoon
- Department of Microbiology and Molecular Genetics, School of Medicine, University of California, Irvine, CA, United States
| | - Lindsey V Soles
- Department of Microbiology and Molecular Genetics, School of Medicine, University of California, Irvine, CA, United States
| | - Yongsheng Shi
- Department of Microbiology and Molecular Genetics, School of Medicine, University of California, Irvine, CA, United States.
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15
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Ovens K, Maleki F, Eames BF, McQuillan I. Juxtapose: a gene-embedding approach for comparing co-expression networks. BMC Bioinformatics 2021; 22:125. [PMID: 33726666 PMCID: PMC7968242 DOI: 10.1186/s12859-021-04055-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Accepted: 03/01/2021] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Gene co-expression networks (GCNs) are not easily comparable due to their complex structure. In this paper, we propose a tool, Juxtapose, together with similarity measures that can be utilized for comparative transcriptomics between a set of organisms. While we focus on its application to comparing co-expression networks across species in evolutionary studies, Juxtapose is also generalizable to co-expression network comparisons across tissues or conditions within the same species. METHODS A word embedding strategy commonly used in natural language processing was utilized in order to generate gene embeddings based on walks made throughout the GCNs. Juxtapose was evaluated based on its ability to embed the nodes of synthetic structures in the networks consistently while also generating biologically informative results. Evaluation of the techniques proposed in this research utilized RNA-seq datasets from GTEx, a multi-species experiment of prefrontal cortex samples from the Gene Expression Omnibus, as well as synthesized datasets. Biological evaluation was performed using gene set enrichment analysis and known gene relationships in literature. RESULTS We show that Juxtapose is capable of globally aligning synthesized networks as well as identifying areas that are conserved in real gene co-expression networks without reliance on external biological information. Furthermore, output from a matching algorithm that uses cosine distance between GCN embeddings is shown to be an informative measure of similarity that reflects the amount of topological similarity between networks. CONCLUSIONS Juxtapose can be used to align GCNs without relying on known biological similarities and enables post-hoc analyses using biological parameters, such as orthology of genes, or conserved or variable pathways. AVAILABILITY A development version of the software used in this paper is available at https://github.com/klovens/juxtapose.
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Affiliation(s)
- Katie Ovens
- Department of Computer Science, University of Saskatchewan, Saskatoon, S7N 5C9 Canada
| | - Farhad Maleki
- Augmented Intelligence & Precision Health Laboratory (AIPHL), Research Institute of the McGill University Health Centre, Montreal, H4A 3S5 Canada
| | - B. Frank Eames
- Department of Anatomy, Physiology, and Pharmacology, University of Saskatchewan, Saskatoon, S7N 5E5 Canada
| | - Ian McQuillan
- Department of Computer Science, University of Saskatchewan, Saskatoon, S7N 5C9 Canada
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16
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Soluri IV, Zumerling LM, Payan Parra OA, Clark EG, Blythe SA. Zygotic pioneer factor activity of Odd-paired/Zic is necessary for late function of the Drosophila segmentation network. eLife 2020; 9:e53916. [PMID: 32347792 PMCID: PMC7190358 DOI: 10.7554/elife.53916] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Accepted: 03/29/2020] [Indexed: 12/20/2022] Open
Abstract
Because chromatin determines whether information encoded in DNA is accessible to transcription factors, dynamic chromatin states in development may constrain how gene regulatory networks impart embryonic pattern. To determine the interplay between chromatin states and regulatory network function, we performed ATAC-seq on Drosophila embryos during the establishment of the segmentation network, comparing wild-type and mutant embryos in which all graded maternal patterning inputs are eliminated. While during the period between zygotic genome activation and gastrulation many regions maintain stable accessibility, cis-regulatory modules (CRMs) within the network undergo extensive patterning-dependent changes in accessibility. A component of the network, Odd-paired (opa), is necessary for pioneering accessibility of late segmentation network CRMs. opa-driven changes in accessibility are accompanied by equivalent changes in gene expression. Interfering with the timing of opa activity impacts the proper patterning of expression. These results indicate that dynamic systems for chromatin regulation directly impact the reading of embryonic patterning information.
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Affiliation(s)
- Isabella V Soluri
- Department of Molecular Biosciences, Northwestern UniversityEvanstonUnited States
| | - Lauren M Zumerling
- Department of Molecular Biosciences, Northwestern UniversityEvanstonUnited States
| | - Omar A Payan Parra
- Program in Interdisciplinary Biological Sciences, Northwestern UniversityEvanstonUnited States
- Department of Neurobiology, Northwestern UniversityEvanstonUnited States
| | - Eleanor G Clark
- Program in Interdisciplinary Biological Sciences, Northwestern UniversityEvanstonUnited States
| | - Shelby A Blythe
- Department of Molecular Biosciences, Northwestern UniversityEvanstonUnited States
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17
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Hernandez J, Pick L, Reding K. Oncopeltus-like gene expression patterns in Murgantia histrionica, a new hemipteran model system, suggest ancient regulatory network divergence. EvoDevo 2020; 11:9. [PMID: 32337018 PMCID: PMC7178596 DOI: 10.1186/s13227-020-00154-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2020] [Accepted: 04/06/2020] [Indexed: 01/08/2023] Open
Abstract
Background Much has been learned about basic biology from studies of insect model systems. The pre-eminent insect model system, Drosophila melanogaster, is a holometabolous insect with a derived mode of segment formation. While additional insect models have been pioneered in recent years, most of these fall within holometabolous lineages. In contrast, hemimetabolous insects have garnered less attention, although they include agricultural pests, vectors of human disease, and present numerous evolutionary novelties in form and function. The milkweed bug, Oncopeltus fasciatus (order: Hemiptera)—close outgroup to holometabolous insects—is an emerging model system. However, comparative studies within this order are limited as many phytophagous hemipterans are difficult to stably maintain in the lab due to their reliance on fresh plants, deposition of eggs within plant material, and long development time from embryo to adult. Results Here we present the harlequin bug, Murgantia histrionica, as a new hemipteran model species. Murgantia—a member of the stink bug family Pentatomidae which shares a common ancestor with Oncopeltus ~ 200 mya—is easy to rear in the lab, produces a large number of eggs, and is amenable to molecular genetic techniques. We use Murgantia to ask whether Pair-Rule Genes (PRGs) are deployed in ways similar to holometabolous insects or to Oncopeltus. Specifically, PRGs even-skipped, odd-skipped, paired and sloppy-paired are initially expressed in PR-stripes in Drosophila and a number of holometabolous insects but in segmental-stripes in Oncopeltus. We found that these genes are likewise expressed in segmental-stripes in Murgantia, while runt displays partial PR-character in both species. Also like Oncopeltus, E75A is expressed in a clear PR-pattern in blastoderm- and germband-stage Murgantia embryos, although it plays no role in segmentation in Drosophila. Thus, genes diagnostic of the split between holometabolous insects and Oncopeltus are expressed in an Oncopeltus-like fashion during Murgantia development. Conclusions The similarity in gene expression between Murgantia and Oncopeltus suggests that Oncopeltus is not a sole outlier species in failing to utilize orthologs of Drosophila PRGs for PR-patterning. Rather, strategies deployed for PR-patterning, including the use of E75A in the PRG-network, are likely conserved within Hemiptera, and possibly more broadly among hemimetabolous insects.
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Affiliation(s)
- Jessica Hernandez
- Department of Entomology, University of Maryland, 4291 Fieldhouse Drive, College Park, MD 20742 USA
| | - Leslie Pick
- Department of Entomology, University of Maryland, 4291 Fieldhouse Drive, College Park, MD 20742 USA
| | - Katie Reding
- Department of Entomology, University of Maryland, 4291 Fieldhouse Drive, College Park, MD 20742 USA
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