1
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Klementz BC, Kulkarni SS, Abshire KM, Sharma PP. Exploring genome architecture as a source of phylogenetic characters for resolving the apulmonate arachnid polytomy. Mol Phylogenet Evol 2025:108380. [PMID: 40414544 DOI: 10.1016/j.ympev.2025.108380] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2025] [Revised: 05/19/2025] [Accepted: 05/23/2025] [Indexed: 05/27/2025]
Abstract
Chromosome-level genome assemblies are powerful tools for identifying the presence of rare genomic changes that can overcome phylogenetically intractable problems. Chelicerata, the sister group to the remaining arthropods, harbors a soft polytomy at the base of an internal node named Euchelicerata, which is variably resolved across phylogenomic studies. As a result, seven orders, comprising horseshoe crabs and six apulmonate arachnid lineages, exhibit highly unstable placements from one study to the next, typically with maximal nodal support. Here, we analyzed recently released chromosome-level genomes of two of these orders, Opiliones (harvestmen) and Solifugae (camel spiders). We show that both Opiliones and Solifugae exhibit an unduplicated genome condition, as inferred from analysis of gene clusters, microRNAs, and macrosynteny. These results are congruent with phylogenomic studies that have refuted traditional morphological placements of Opiliones and Solifugae as close relatives of orders within Arachnopulmonata, a subset of six arachnid orders that are united by a shared whole genome duplication. Additionally, we examine irreversible chromosome fusion-with-mixing events as potential sources of phylogenetic data. We show that while fusion and mixing events are common in apulmonate arachnids, multiple mixing events support incompatible unrooted tree topologies. These results suggest that fusion and mixing events have evolved convergently in the chelicerate tree of life, particularly for extant lineages with a small number of chromosomes. Overall, our findings demonstrate that broader sampling of chelicerate genomes and establishment of genomic resources for key missing orders are essential to unlocking the potential of rare genomic changes as phylogenetic data sources.
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Affiliation(s)
- Benjamin C Klementz
- University of Wisconsin-Madison, Department of Integrative Biology, Madison, WI, United States; Zoological Museum, University of Wisconsin-Madison, Madison, WI, United States
| | - Siddharth S Kulkarni
- University of Wisconsin-Madison, Department of Integrative Biology, Madison, WI, United States; Zoological Museum, University of Wisconsin-Madison, Madison, WI, United States; Indian Institute of Science Education and Research, School of Biology, Thiruvananthapuram, Vithura, Kerala, India
| | - Kaitlyn M Abshire
- University of Wisconsin-Madison, Department of Integrative Biology, Madison, WI, United States; Zoological Museum, University of Wisconsin-Madison, Madison, WI, United States
| | - Prashant P Sharma
- University of Wisconsin-Madison, Department of Integrative Biology, Madison, WI, United States; Zoological Museum, University of Wisconsin-Madison, Madison, WI, United States.
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2
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Biswas T, Hassan H, Rohner N. Differentially expressed miRNAs offer new perspective into cave adaptation of Astyanax mexicanus. Ann N Y Acad Sci 2025; 1546:173-181. [PMID: 40082196 PMCID: PMC11998478 DOI: 10.1111/nyas.15300] [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] [Indexed: 03/16/2025]
Abstract
Astyanax mexicanus, a species with both surface-dwelling and multiple cave-dwelling populations, offers a unique opportunity to study repeated adaptation to dark and resource-scarce environments. While previous work has identified large-scale gene expression changes between morphs under even identical laboratory conditions, the regulatory basis of these expression differences remains largely unexplored. In this study, we focus on microRNAs (miRNAs) as key regulators of gene expression. Our analysis identified 683 mature miRNAs, establishing the first comprehensive catalog of miRNAs for this species. We identified a unique subset of differentially expressed miRNAs common to all studied cave-dwelling populations, potentially orchestrating the nuanced gene expression patterns required for survival in the cave milieu. Furthermore, we performed in silico target prediction of these miRNAs, revealing possible roles in developmental and metabolic pathways pivotal for thriving in nutrient-limited cave conditions. Interestingly, we also observed that Molino, which is the "youngest" of the three cavefish analyzed in this study, exhibited the most abundant number of differentially expressed mature miRNAs among the cave morphs. The comprehensive miRNA catalog generated, along with the insight into their differential expression across different morphs, will guide future investigations into the intricate world of miRNA-mediated evolution of complex traits.
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Affiliation(s)
| | - Huzaifa Hassan
- Stowers Institute for Medical ResearchKansas CityMissouriUSA
| | - Nicolas Rohner
- Stowers Institute for Medical ResearchKansas CityMissouriUSA
- Institute for Integrative Cell Biology and PhysiologyUniversity of MünsterMünsterGermany
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3
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Clarke A, Høye E, Hembrom A, Paynter V, Vinther J, Wyrożemski Ł, Biryukova I, Formaggioni A, Ovchinnikov V, Herlyn H, Pierce A, Wu C, Aslanzadeh M, Cheneby J, Martinez P, Friedländer M, Hovig E, Hackenberg M, Umu SU, Johansen M, Peterson K, Fromm B. MirGeneDB 3.0: improved taxonomic sampling, uniform nomenclature of novel conserved microRNA families and updated covariance models. Nucleic Acids Res 2025; 53:D116-D128. [PMID: 39673268 PMCID: PMC11701709 DOI: 10.1093/nar/gkae1094] [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: 09/24/2024] [Revised: 10/16/2024] [Accepted: 10/24/2024] [Indexed: 12/16/2024] Open
Abstract
We present a major update of MirGeneDB (3.0), the manually curated animal microRNA gene database. Beyond moving to a new server and the creation of a computational mirror, we have expanded the database with the addition of 33 invertebrate species, including representatives of 5 previously unsampled phyla, and 6 mammal species. MirGeneDB now contains entries for 21 822 microRNA genes (5160 of these from the new species) belonging to 1743 microRNA families. The inclusion of these new species allowed us to refine both the evolutionary node of appearance of a number of microRNA genes/families, as well as MirGeneDB's phylogenetically informed nomenclature system. Updated covariance models of all microRNA families, along with all smallRNA read data are now downloadable. These enhanced annotations will allow researchers to analyze microRNA properties such as secondary structure and features of their biogenesis within a robust phylogenetic context and without the database plagued with numerous false positives and false negatives. In light of these improvements, MirGeneDB 3.0 will assume the responsibility for naming conserved novel metazoan microRNAs. MirGeneDB is part of RNAcentral and Elixir Norway and is publicly and freely available at mirgenedb.org.
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Affiliation(s)
- Alexander W Clarke
- Department of Biological Sciences, 321 Life Sciences Center, Dartmouth College, 78 College St., Hanover, NH 03755, USA
- The Arctic University Museum of Norway, UiT - The Arctic University of Norway, Lars Thørings veg 10, 9006 Tromsø, Norway
| | - Eirik Høye
- Centre for Molecular Medicine Norway (NCMM), Nordic EMBL Partnership, University of Oslo, 0318 Oslo, Norway
| | - Anju Angelina Hembrom
- The Arctic University Museum of Norway, UiT - The Arctic University of Norway, Lars Thørings veg 10, 9006 Tromsø, Norway
| | - Vanessa Molin Paynter
- The Arctic University Museum of Norway, UiT - The Arctic University of Norway, Lars Thørings veg 10, 9006 Tromsø, Norway
| | - Jakob Vinther
- School of Earth Sciences & School of Biological Sciences, University of Bristol, Life Sciences Building, 24 Tyndall Avenue, BS5 8EH, Bristol, UK
| | - Łukasz Wyrożemski
- The Arctic University Museum of Norway, UiT - The Arctic University of Norway, Lars Thørings veg 10, 9006 Tromsø, Norway
| | - Inna Biryukova
- Science for Life Laboratory, Department of Molecular Biosciences, The Wenner-Gren Institute, Stockholm University, SE-10691,Stockholm, Sweden
| | - Alessandro Formaggioni
- Department of Biological, Geological and Environmental Sciences, University of Bologna, Via Selmi 3, 40126, Bologna, Italy
| | - Vladimir Ovchinnikov
- Human Genetics, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - Holger Herlyn
- Institute of Organismic and Molecular Evolution, Johannes Gutenberg University Mainz, Ackermannweg 4, 55128 Mainz, Germany
| | - Alexandra Pierce
- Department of Biological Sciences, 321 Life Sciences Center, Dartmouth College, 78 College St., Hanover, NH 03755, USA
| | - Charles Wu
- Valley Stream North High School, 750 Herman Ave, Franklin Square, NY 11010, USA
| | - Morteza Aslanzadeh
- Science for Life Laboratory, Department of Molecular Biosciences, The Wenner-Gren Institute, Stockholm University, SE-10691,Stockholm, Sweden
| | - Jeanne Cheneby
- Center for Bioinformatics, Department of Informatics, University of Oslo, Gaustadalléen 23B, 0373 Oslo, Norway
| | - Pedro Martinez
- Department de Genètica, Microbiologia i Estadística, Universitat de Barcelona, Avinguda Diagonal, 643; 08028-Barcelona, Spain
- ICREA (Institut Català de Recerca i Estudis Avancats), Passeig Lluis Companys 23; 08010-Barcelona, Spain
| | - Marc R Friedländer
- Science for Life Laboratory, Department of Molecular Biosciences, The Wenner-Gren Institute, Stockholm University, SE-10691,Stockholm, Sweden
| | - Eivind Hovig
- Department of Tumor Biology, Institute for Cancer Research, The Norwegian Radium Hospital, Oslo University Hospital, Ullernchausseen 70, 0379 Oslo, Norway
| | - Michael Hackenberg
- Department of Genetics, Faculty of Sciences, University of Granada, Avenida de la Fuente Nueva S/N, C.P. 18071 Granada, Spain
- Bioinformatics Laboratory, Biotechnology Institute & Biomedical Research Centre (CIBM), Avenida del Conocimiento 19 Granada, 18100, Spain
| | - Sinan Uğur Umu
- Department of Pathology, Institute of Clinical Medicine, University of Oslo, Sognsvannsveien 20, 0372 Oslo, Norway
| | - Morten Johansen
- Center for Bioinformatics, Department of Informatics, University of Oslo, Gaustadalléen 23B, 0373 Oslo, Norway
| | - Kevin J Peterson
- Department of Biological Sciences, 321 Life Sciences Center, Dartmouth College, 78 College St., Hanover, NH 03755, USA
| | - Bastian Fromm
- The Arctic University Museum of Norway, UiT - The Arctic University of Norway, Lars Thørings veg 10, 9006 Tromsø, Norway
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4
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Toft K, Honoré ML, Ripley NE, Nielsen MK, Fromm B, Mardahl M, Nielsen LN, Nejsum P, Thamsborg SM, Cirera S, Pihl TH. The microRNAome of Strongylus vulgaris larvae and their excretory/secretory products with identification of parasite-derived microRNAs in horse arterial tissue. Int J Parasitol 2025; 55:45-58. [PMID: 39510492 DOI: 10.1016/j.ijpara.2024.10.005] [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: 04/25/2024] [Revised: 08/26/2024] [Accepted: 10/30/2024] [Indexed: 11/15/2024]
Abstract
The equine bloodworm, Strongylus vulgaris, is a highly pathogenic parasite causing potentially fatal vascular and intestinal damage. Parasites express and release microRNAs (miRNAs) for internal regulation and to modulate host immunity. The complete set of miRNAs expressed by S. vulgaris (the S. vulgaris miRNAome) remains unannotated and the aim of this study was to annotate the miRNAome of L4 and L5 stages of S. vulgaris, and to examine differences in miRNA abundance between larval stages and sexes. Furthermore, we aimed to determine if miRNAs were detectable in excretory/secretory products (ESPs) from larvae and in arterial tissue from their predilection site, the cranial mesenteric artery (CMA). Larvae were collected from naturally infected foals, and categorized by sex and stage. A subset of larvae was snap-frozen, while those remaining were incubated and the (ESPs) collected. Arterial tissue samples were collected from the CMA. Small RNA sequencing, followed by a custom bioinformatic pipeline, was used for annotation. We identified 142 S. vulgaris miRNAs in larvae and 136 in ESPs. Significant differences in miRNA abundance were observed between larvae and ESPs, and between L5 females (L5Fs) and L5 males (L5Ms), L4s and L5Fs, and L4s and L5Ms. No differences were found between L4s and L5s overall. In ESPs, several miRNAs were differentially abundant across all groups. Validation through quantitative real-time PCR (qPCR) detected selected miRNAs and their differential abundance in larvae and ESPs. One parasite-derived miRNA was detected in some of the horse arterial tissue samples but at very low levels. This study provided the first annotation of the S. vulgaris miRNAome. Most of the annotated larval miRNAs were also detectable in ESPs, and differences in miRNA abundance between sexes were found for larvae, and between sexes and stages for ESPs. Parasite-derived miRNAs were, however, not consistently detectable in the surrounding host arterial tissue.
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Affiliation(s)
- Katrine Toft
- Department of Veterinary Clinical Sciences, University of Copenhagen, Copenhagen, Denmark.
| | - Marie Louise Honoré
- Department of Veterinary Clinical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Nichol E Ripley
- M.H. Gluck Equine Research Center, Department of Veterinary Science, University of Kentucky, Lexington, KY, USA
| | - Martin K Nielsen
- M.H. Gluck Equine Research Center, Department of Veterinary Science, University of Kentucky, Lexington, KY, USA
| | - Bastian Fromm
- The Arctic University Museum of Norway, UiT The Arctic University of Norway, Tromsø, Norway
| | | | - Lise N Nielsen
- Department of Veterinary Clinical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Peter Nejsum
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Stig Milan Thamsborg
- Department of Veterinary and Animal Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Susanna Cirera
- Department of Veterinary and Animal Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Tina Holberg Pihl
- Department of Veterinary Clinical Sciences, University of Copenhagen, Copenhagen, Denmark
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5
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Langschied F, Bordin N, Cosentino S, Fuentes-Palacios D, Glover N, Hiller M, Hu Y, Huerta-Cepas J, Coelho LP, Iwasaki W, Majidian S, Manzano-Morales S, Persson E, Richards TA, Gabaldón T, Sonnhammer E, Thomas PD, Dessimoz C, Ebersberger I. Quest for Orthologs in the Era of Biodiversity Genomics. Genome Biol Evol 2024; 16:evae224. [PMID: 39404012 PMCID: PMC11523110 DOI: 10.1093/gbe/evae224] [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] [Accepted: 10/11/2024] [Indexed: 11/01/2024] Open
Abstract
The era of biodiversity genomics is characterized by large-scale genome sequencing efforts that aim to represent each living taxon with an assembled genome. Generating knowledge from this wealth of data has not kept up with this pace. We here discuss major challenges to integrating these novel genomes into a comprehensive functional and evolutionary network spanning the tree of life. In summary, the expanding datasets create a need for scalable gene annotation methods. To trace gene function across species, new methods must seek to increase the resolution of ortholog analyses, e.g. by extending analyses to the protein domain level and by accounting for alternative splicing. Additionally, the scope of orthology prediction should be pushed beyond well-investigated proteomes. This demands the development of specialized methods for the identification of orthologs to short proteins and noncoding RNAs and for the functional characterization of novel gene families. Furthermore, protein structures predicted by machine learning are now readily available, but this new information is yet to be integrated with orthology-based analyses. Finally, an increasing focus should be placed on making orthology assignments adhere to the findable, accessible, interoperable, and reusable (FAIR) principles. This fosters green bioinformatics by avoiding redundant computations and helps integrating diverse scientific communities sharing the need for comparative genetics and genomics information. It should also help with communicating orthology-related concepts in a format that is accessible to the public, to counteract existing misinformation about evolution.
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Affiliation(s)
- Felix Langschied
- Department for Applied Bioinformatics, Institute of Cell Biology and Neuroscience, Goethe University, Frankfurt, Germany
| | - Nicola Bordin
- Institute of Structural and Molecular Biology, University College London, WC1E 6BT, London, UK
| | - Salvatore Cosentino
- Department of Integrated Biosciences, The University of Tokyo, 277-0882 Tokyo, Japan
| | - Diego Fuentes-Palacios
- Barcelona Supercomputing Center (BSC-CNS), 08034 Barcelona, Spain
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, 08028 Barcelona, Spain
| | - Natasha Glover
- SIB Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
- Department of Computational Biology, University of Lausanne, 1015 Lausanne, Switzerland
| | - Michael Hiller
- Department of Comparative Genomics, Institute of Cell Biology and Neuroscience, Goethe University, Frankfurt, Germany
| | - Yanhui Hu
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
- Drosophila RNAi Screening Center, Harvard Medical School, Boston, MA 02115, USA
| | - Jaime Huerta-Cepas
- Centro de Biotecnología y Genómica de Plantas, Universidad Politécnica de Madrid (UPM) - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA-CSIC), Campus de Montegancedo-UPM, Madrid, Spain
| | - Luis Pedro Coelho
- Centre for Microbiome Research, School of Biomedical Sciences, Queensland University of Technology, Translational Research Institute, Woolloongabba, Queensland, Australia
| | - Wataru Iwasaki
- Department of Integrated Biosciences, University of Tokyo, 277-0882 Tokyo, Japan
| | - Sina Majidian
- SIB Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
- Department of Computational Biology, University of Lausanne, 1015 Lausanne, Switzerland
| | - Saioa Manzano-Morales
- Barcelona Supercomputing Center (BSC-CNS), 08034 Barcelona, Spain
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, 08028 Barcelona, Spain
| | - Emma Persson
- Department of Biochemistry and Biophysics, Stockholm University, Science for Life Laboratory, Solna, Sweden
| | | | - Toni Gabaldón
- Barcelona Supercomputing Center (BSC-CNS), 08034 Barcelona, Spain
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, 08028 Barcelona, Spain
- Catalan Institution for Research and Advanced Studies (ICREA), Barcelona, Spain
- CIBER de Enfermedades Infecciosas, Instituto de Salud Carlos III, Madrid, Spain
| | - Erik Sonnhammer
- Department of Biochemistry and Biophysics, Stockholm University, Science for Life Laboratory, Solna, Sweden
| | - Paul D Thomas
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - Christophe Dessimoz
- SIB Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
- Department of Computational Biology, University of Lausanne, 1015 Lausanne, Switzerland
| | - Ingo Ebersberger
- Department for Applied Bioinformatics, Institute of Cell Biology and Neuroscience, Goethe University, Frankfurt, Germany
- LOEWE Centre for Translational Biodiversity Genomics, 60325 Frankfurt, Germany
- Senckenberg Biodiversity and Climate Research Centre (S-BIK-F), Frankfurt am Main, Germany
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6
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Yu D, Ren Y, Uesaka M, Beavan AJS, Muffato M, Shen J, Li Y, Sato I, Wan W, Clark JW, Keating JN, Carlisle EM, Dearden RP, Giles S, Randle E, Sansom RS, Feuda R, Fleming JF, Sugahara F, Cummins C, Patricio M, Akanni W, D'Aniello S, Bertolucci C, Irie N, Alev C, Sheng G, de Mendoza A, Maeso I, Irimia M, Fromm B, Peterson KJ, Das S, Hirano M, Rast JP, Cooper MD, Paps J, Pisani D, Kuratani S, Martin FJ, Wang W, Donoghue PCJ, Zhang YE, Pascual-Anaya J. Hagfish genome elucidates vertebrate whole-genome duplication events and their evolutionary consequences. Nat Ecol Evol 2024; 8:519-535. [PMID: 38216617 DOI: 10.1038/s41559-023-02299-z] [Citation(s) in RCA: 23] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Accepted: 12/04/2023] [Indexed: 01/14/2024]
Abstract
Polyploidy or whole-genome duplication (WGD) is a major event that drastically reshapes genome architecture and is often assumed to be causally associated with organismal innovations and radiations. The 2R hypothesis suggests that two WGD events (1R and 2R) occurred during early vertebrate evolution. However, the timing of the 2R event relative to the divergence of gnathostomes (jawed vertebrates) and cyclostomes (jawless hagfishes and lampreys) is unresolved and whether these WGD events underlie vertebrate phenotypic diversification remains elusive. Here we present the genome of the inshore hagfish, Eptatretus burgeri. Through comparative analysis with lamprey and gnathostome genomes, we reconstruct the early events in cyclostome genome evolution, leveraging insights into the ancestral vertebrate genome. Genome-wide synteny and phylogenetic analyses support a scenario in which 1R occurred in the vertebrate stem-lineage during the early Cambrian, and 2R occurred in the gnathostome stem-lineage, maximally in the late Cambrian-earliest Ordovician, after its divergence from cyclostomes. We find that the genome of stem-cyclostomes experienced an additional independent genome triplication. Functional genomic and morphospace analyses demonstrate that WGD events generally contribute to developmental evolution with similar changes in the regulatory genome of both vertebrate groups. However, appreciable morphological diversification occurred only in the gnathostome but not in the cyclostome lineage, calling into question the general expectation that WGDs lead to leaps of bodyplan complexity.
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Affiliation(s)
- Daqi Yu
- Key Laboratory of Zoological Systematics and Evolution and State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Yandong Ren
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- School of Ecology and Environment, Northwestern Polytechnical University, Xi'an, China
| | - Masahiro Uesaka
- Laboratory for Evolutionary Morphology, RIKEN Center for Biosystems Dynamics Research (BDR), Kobe, Japan
- Department of Ecological Developmental Adaptability Life Sciences, Graduate School of Life Sciences, Tohoku University, Sendai, Japan
| | - Alan J S Beavan
- Bristol Palaeobiology Group, School of Biological Sciences, University of Bristol, Bristol, UK
- School of Life Sciences, University of Nottingham, Nottingham, UK
| | - Matthieu Muffato
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, UK
- Tree of Life, Wellcome Sanger Institute, Hinxton, UK
| | - Jieyu Shen
- Key Laboratory of Zoological Systematics and Evolution and State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Yongxin Li
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- School of Ecology and Environment, Northwestern Polytechnical University, Xi'an, China
| | - Iori Sato
- Laboratory for Evolutionary Morphology, RIKEN Center for Biosystems Dynamics Research (BDR), Kobe, Japan
- iPS Cell Advanced Characterization and Development Team, RIKEN BioResource Research Center, Tsukuba, Japan
| | - Wenting Wan
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- School of Ecology and Environment, Northwestern Polytechnical University, Xi'an, China
| | - James W Clark
- Bristol Palaeobiology Group, School of Biological Sciences, University of Bristol, Bristol, UK
- Milner Centre for Evolution, University of Bath, Claverton Down, Bath, UK
| | - Joseph N Keating
- Bristol Palaeobiology Group, School of Earth Sciences, University of Bristol, Bristol, UK
| | - Emily M Carlisle
- Bristol Palaeobiology Group, School of Earth Sciences, University of Bristol, Bristol, UK
| | - Richard P Dearden
- School of Geography, Earth and Environmental Sciences, University of Birmingham, Edgbaston, Birmingham, UK
- Naturalis Biodiversity Center, Leiden, the Netherlands
| | - Sam Giles
- School of Geography, Earth and Environmental Sciences, University of Birmingham, Edgbaston, Birmingham, UK
| | - Emma Randle
- Department of Earth and Environmental Sciences, University of Manchester, Manchester, UK
| | - Robert S Sansom
- Department of Earth and Environmental Sciences, University of Manchester, Manchester, UK
| | - Roberto Feuda
- Department of Genetics and Genome Biology, University of Leicester, Leicester, UK
| | - James F Fleming
- Keio University Institute for Advanced Biosciences, Tsuruoka, Japan
- Natural History Museum, University of Oslo, Oslo, Norway
| | - Fumiaki Sugahara
- Division of Biology, Hyogo Medical University, Nishinomiya, Japan
- Evolutionary Morphology Laboratory, RIKEN Cluster for Pioneering Research (CPR), Kobe, Japan
| | - Carla Cummins
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, UK
| | - Mateus Patricio
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, UK
| | - Wasiu Akanni
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, UK
| | - Salvatore D'Aniello
- Biology and Evolution of Marine Organisms, Stazione Zoologica Anton Dohrn Napoli, Villa Comunale, Napoli, Italy
| | - Cristiano Bertolucci
- Biology and Evolution of Marine Organisms, Stazione Zoologica Anton Dohrn Napoli, Villa Comunale, Napoli, Italy
- Department of Life Sciences and Biotechnology, University of Ferrara, Ferrara, Italy
| | - Naoki Irie
- Research Center for Integrative Evolutionary Science, The Graduate University for Advanced Studies, SOKENDAI, Hayama, Japan
- Department of Biological Sciences, Graduate School of Science, The University of Tokyo, Tokyo, Japan
| | - Cantas Alev
- Institute for the Advanced Study of Human Biology (ASHBi), Kyoto University, Kyoto, Japan
| | - Guojun Sheng
- International Research Center for Medical Sciences (IRCMS), Kumamoto University, Kumamoto, Japan
| | - Alex de Mendoza
- School of Biological and Behavioural Sciences, Queen Mary University of London, London, UK
| | - Ignacio Maeso
- Department of Genetics, Microbiology and Statistics, Faculty of Biology, University of Barcelona (UB), Barcelona, Spain
- Institut de Recerca de la Biodiversitat (IRBio), Universitat de Barcelona (UB), Barcelona, Spain
| | - Manuel Irimia
- Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- ICREA, Barcelona, Spain
| | - Bastian Fromm
- The Arctic University Museum of Norway, UiT - The Arctic University of Norway, Tromsø, Norway
| | - Kevin J Peterson
- Department of Biological Sciences, Dartmouth College, Hanover, NH, USA
| | - Sabyasachi Das
- Department of Pathology and Laboratory Medicine, Emory University, Atlanta, GA, USA
- Emory Vaccine Center, Emory University, Atlanta, GA, USA
| | - Masayuki Hirano
- Department of Pathology and Laboratory Medicine, Emory University, Atlanta, GA, USA
- Emory Vaccine Center, Emory University, Atlanta, GA, USA
| | - Jonathan P Rast
- Department of Pathology and Laboratory Medicine, Emory University, Atlanta, GA, USA
- Emory Vaccine Center, Emory University, Atlanta, GA, USA
| | - Max D Cooper
- Department of Pathology and Laboratory Medicine, Emory University, Atlanta, GA, USA
- Emory Vaccine Center, Emory University, Atlanta, GA, USA
| | - Jordi Paps
- Bristol Palaeobiology Group, School of Earth Sciences, University of Bristol, Bristol, UK
| | - Davide Pisani
- Bristol Palaeobiology Group, School of Biological Sciences, University of Bristol, Bristol, UK
- Bristol Palaeobiology Group, School of Earth Sciences, University of Bristol, Bristol, UK
| | - Shigeru Kuratani
- Laboratory for Evolutionary Morphology, RIKEN Center for Biosystems Dynamics Research (BDR), Kobe, Japan
- Evolutionary Morphology Laboratory, RIKEN Cluster for Pioneering Research (CPR), Kobe, Japan
| | - Fergal J Martin
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, UK.
| | - Wen Wang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.
- School of Ecology and Environment, Northwestern Polytechnical University, Xi'an, China.
- CAS Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China.
| | - Philip C J Donoghue
- Bristol Palaeobiology Group, School of Earth Sciences, University of Bristol, Bristol, UK.
| | - Yong E Zhang
- Key Laboratory of Zoological Systematics and Evolution and State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.
- University of Chinese Academy of Sciences, Beijing, China.
- CAS Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China.
| | - Juan Pascual-Anaya
- Evolutionary Morphology Laboratory, RIKEN Cluster for Pioneering Research (CPR), Kobe, Japan.
- Department of Animal Biology, Faculty of Science, University of Málaga (UMA), Málaga, Spain.
- Edificio de Bioinnovación, Universidad de Málaga, Málaga, Spain.
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Fromm B, Sorger T. Rapid adaptation of cellular metabolic rate to the MicroRNA complements of mammals and its relevance to the evolution of endothermy. iScience 2024; 27:108740. [PMID: 38327773 PMCID: PMC10847693 DOI: 10.1016/j.isci.2023.108740] [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: 11/28/2022] [Revised: 09/13/2023] [Accepted: 12/12/2023] [Indexed: 02/09/2024] Open
Abstract
The metabolic efficiency of mammalian cells depends on the attenuation of intrinsic translation noise by microRNAs. We devised a metric of cellular metabolic rate (cMR), rMR/Mexp optimally fit to the number of microRNA families (mirFam), that is robust to variation in mass and sensitive to body temperature (Tb), consistent with the heat dissipation limit theory of Speakman and Król (2010). Using mirFam as predictor, an Ornstein-Uhlenbeck process of stabilizing selection, with an adaptive shift at the divergence of Boreoeutheria, accounted for 95% of the variation in cMR across mammals. Branchwise rates of evolution of cMR, mirFam and Tb concurrently increased 6- to 7-fold at the divergence of Boreoeutheria, independent of mass. Cellular MR variation across placental mammals was also predicted by the sum of model conserved microRNA-target interactions, revealing an unexpected degree of integration of the microRNA-target apparatus into the energy economy of the mammalian cell.
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Affiliation(s)
- Bastian Fromm
- The Arctic University Museum of Norway, UiT- The Arctic University of Norway, Tromsø, Norway
| | - Thomas Sorger
- Department of Biology, Roger Williams University, Bristol, RI 02809, USA
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Mönttinen HAM, Frilander MJ, Löytynoja A. Generation of de novo miRNAs from template switching during DNA replication. Proc Natl Acad Sci U S A 2023; 120:e2310752120. [PMID: 38019864 PMCID: PMC10710096 DOI: 10.1073/pnas.2310752120] [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: 06/26/2023] [Accepted: 11/01/2023] [Indexed: 12/01/2023] Open
Abstract
The mechanisms generating novel genes and genetic information are poorly known, even for microRNA (miRNA) genes with an extremely constrained design. All miRNA primary transcripts need to fold into a stem-loop structure to yield short gene products ([Formula: see text]22 nt) that bind and repress their mRNA targets. While a substantial number of miRNA genes are ancient and highly conserved, short secondary structures coding for entirely novel miRNA genes have been shown to emerge in a lineage-specific manner. Template switching is a DNA-replication-related mutation mechanism that can introduce complex changes and generate perfect base pairing for entire hairpin structures in a single event. Here, we show that the template-switching mutations (TSMs) have participated in the emergence of over 6,000 suitable hairpin structures in the primate lineage to yield at least 18 new human miRNA genes, that is 26% of the miRNAs inferred to have arisen since the origin of primates. While the mechanism appears random, the TSM-generated miRNAs are enriched in introns where they can be expressed with their host genes. The high frequency of TSM events provides raw material for evolution. Being orders of magnitude faster than other mechanisms proposed for de novo creation of genes, TSM-generated miRNAs enable near-instant rewiring of genetic information and rapid adaptation to changing environments.
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Affiliation(s)
- Heli A. M. Mönttinen
- Institute of Biotechnology, Helsinki Institute of Life Science, University of Helsinki, HelsinkiFI-000, Finland
| | - Mikko J. Frilander
- Institute of Biotechnology, Helsinki Institute of Life Science, University of Helsinki, HelsinkiFI-000, Finland
| | - Ari Löytynoja
- Institute of Biotechnology, Helsinki Institute of Life Science, University of Helsinki, HelsinkiFI-000, Finland
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Mármol-Sánchez E, Fromm B, Oskolkov N, Pochon Z, Kalogeropoulos P, Eriksson E, Biryukova I, Sekar V, Ersmark E, Andersson B, Dalén L, Friedländer MR. Historical RNA expression profiles from the extinct Tasmanian tiger. Genome Res 2023; 33:1299-1316. [PMID: 37463752 PMCID: PMC10552650 DOI: 10.1101/gr.277663.123] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Accepted: 06/27/2023] [Indexed: 07/20/2023]
Abstract
Paleogenomics continues to yield valuable insights into the evolution, population dynamics, and ecology of our ancestors and other extinct species. However, DNA sequencing cannot reveal tissue-specific gene expression, cellular identity, or gene regulation, which are only attainable at the transcriptional level. Pioneering studies have shown that useful RNA can be extracted from ancient specimens preserved in permafrost and historical skins from extant canids, but no attempts have been made so far on extinct species. We extract, sequence, and analyze historical RNA from muscle and skin tissue of a ∼130-year-old Tasmanian tiger (Thylacinus cynocephalus) preserved in desiccation at room temperature in a museum collection. The transcriptional profiles closely resemble those of extant species, revealing specific anatomical features such as slow muscle fibers or blood infiltration. Metatranscriptomic analysis, RNA damage, tissue-specific RNA profiles, and expression hotspots genome-wide further confirm the thylacine origin of the sequences. RNA sequences are used to improve protein-coding and noncoding annotations, evidencing missing exonic loci and the location of ribosomal RNA genes while increasing the number of annotated thylacine microRNAs from 62 to 325. We discover a thylacine-specific microRNA isoform that could not have been confirmed without RNA evidence. Finally, we detect traces of RNA viruses, suggesting the possibility of profiling viral evolution. Our results represent the first successful attempt to obtain transcriptional profiles from an extinct animal species, providing thought-to-be-lost information on gene expression dynamics. These findings hold promising implications for the study of RNA molecules across the vast collections of natural history museums and from well-preserved permafrost remains.
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Affiliation(s)
- Emilio Mármol-Sánchez
- Department of Molecular Biosciences, The Wenner-Gren Institute, Science for Life Laboratory, Stockholm University, 114 18 Stockholm, Sweden;
- Centre for Palaeogenetics, 106 91 Stockholm, Sweden
| | - Bastian Fromm
- Department of Molecular Biosciences, The Wenner-Gren Institute, Science for Life Laboratory, Stockholm University, 114 18 Stockholm, Sweden
- The Arctic University Museum of Norway, UiT - The Arctic University of Norway, 9006 Tromsø, Norway
| | - Nikolay Oskolkov
- Department of Biology, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Lund University, 223 62 Lund, Sweden
| | - Zoé Pochon
- Centre for Palaeogenetics, 106 91 Stockholm, Sweden
- Department of Archaeology and Classical Studies, Stockholm University, 106 91 Stockholm, Sweden
| | - Panagiotis Kalogeropoulos
- Department of Molecular Biosciences, The Wenner-Gren Institute, Science for Life Laboratory, Stockholm University, 114 18 Stockholm, Sweden
| | - Eli Eriksson
- Department of Molecular Biosciences, The Wenner-Gren Institute, Science for Life Laboratory, Stockholm University, 114 18 Stockholm, Sweden
| | - Inna Biryukova
- Department of Molecular Biosciences, The Wenner-Gren Institute, Science for Life Laboratory, Stockholm University, 114 18 Stockholm, Sweden
| | - Vaishnovi Sekar
- Department of Molecular Biosciences, The Wenner-Gren Institute, Science for Life Laboratory, Stockholm University, 114 18 Stockholm, Sweden
| | - Erik Ersmark
- Centre for Palaeogenetics, 106 91 Stockholm, Sweden
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, 104 05 Stockholm, Sweden
| | - Björn Andersson
- Department of Cell and Molecular Biology (CMB), Karolinska Institute, 171 77 Stockholm, Sweden
| | - Love Dalén
- Centre for Palaeogenetics, 106 91 Stockholm, Sweden;
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, 104 05 Stockholm, Sweden
- Department of Zoology, Stockholm University, 106 91 Stockholm, Sweden
| | - Marc R Friedländer
- Department of Molecular Biosciences, The Wenner-Gren Institute, Science for Life Laboratory, Stockholm University, 114 18 Stockholm, Sweden;
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