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Fouks B, Brand P, Nguyen HN, Herman J, Camara F, Ence D, Hagen DE, Hoff KJ, Nachweide S, Romoth L, Walden KKO, Guigo R, Stanke M, Narzisi G, Yandell M, Robertson HM, Koeniger N, Chantawannakul P, Schatz MC, Worley KC, Robinson GE, Elsik CG, Rueppell O. The genomic basis of evolutionary differentiation among honey bees. Genome Res 2021; 31:1203-1215. [PMID: 33947700 PMCID: PMC8256857 DOI: 10.1101/gr.272310.120] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Accepted: 04/22/2021] [Indexed: 02/06/2023]
Abstract
In contrast to the western honey bee, Apis mellifera, other honey bee species have been largely neglected despite their importance and diversity. The genetic basis of the evolutionary diversification of honey bees remains largely unknown. Here, we provide a genome-wide comparison of three honey bee species, each representing one of the three subgenera of honey bees, namely the dwarf (Apis florea), giant (A. dorsata), and cavity-nesting (A. mellifera) honey bees with bumblebees as an outgroup. Our analyses resolve the phylogeny of honey bees with the dwarf honey bees diverging first. We find that evolution of increased eusocial complexity in Apis proceeds via increases in the complexity of gene regulation, which is in agreement with previous studies. However, this process seems to be related to pathways other than transcriptional control. Positive selection patterns across Apis reveal a trade-off between maintaining genome stability and generating genetic diversity, with a rapidly evolving piRNA pathway leading to genomes depleted of transposable elements, and a rapidly evolving DNA repair pathway associated with high recombination rates in all Apis species. Diversification within Apis is accompanied by positive selection in several genes whose putative functions present candidate mechanisms for lineage-specific adaptations, such as migration, immunity, and nesting behavior.
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Affiliation(s)
- Bertrand Fouks
- Department of Biology, University of North Carolina at Greensboro, Greensboro, North Carolina 27403, USA
- Institute for Evolution and Biodiversity, Molecular Evolution and Bioinformatics, Westfälische Wilhelms-Universität, 48149 Münster, Germany
| | - Philipp Brand
- Department of Evolution and Ecology, Center for Population Biology, University of California, Davis, Davis, California 95161, USA
- Laboratory of Neurophysiology and Behavior, The Rockefeller University, New York, New York 10065, USA
| | - Hung N Nguyen
- MU Institute for Data Science and Informatics, University of Missouri, Columbia, Missouri 65211, USA
| | - Jacob Herman
- Department of Biology, University of North Carolina at Greensboro, Greensboro, North Carolina 27403, USA
| | - Francisco Camara
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, 08036 Barcelona, Spain
| | - Daniel Ence
- School of Forest Resources and Conservation, University of Florida, Gainesville, Florida 32611, USA
- Department of Human Genetics, University of Utah, Salt Lake City, Utah 84112, USA
| | - Darren E Hagen
- Department of Animal and Food Sciences, Oklahoma State University, Stillwater, Oklahoma 74078, USA
| | - Katharina J Hoff
- University of Greifswald, Institute for Mathematics and Computer Science, Bioinformatics Group, 17489 Greifswald, Germany
- University of Greifswald, Center for Functional Genomics of Microbes, 17489 Greifswald, Germany
| | - Stefanie Nachweide
- University of Greifswald, Institute for Mathematics and Computer Science, Bioinformatics Group, 17489 Greifswald, Germany
| | - Lars Romoth
- University of Greifswald, Institute for Mathematics and Computer Science, Bioinformatics Group, 17489 Greifswald, Germany
| | - Kimberly K O Walden
- Department of Entomology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - Roderic Guigo
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, 08036 Barcelona, Spain
- Universitat Pompeu Fabra (UPF), 08002 Barcelona, Spain
| | - Mario Stanke
- University of Greifswald, Institute for Mathematics and Computer Science, Bioinformatics Group, 17489 Greifswald, Germany
- University of Greifswald, Center for Functional Genomics of Microbes, 17489 Greifswald, Germany
| | | | - Mark Yandell
- Department of Human Genetics, University of Utah, Salt Lake City, Utah 84112, USA
- Utah Center for Genetic Discovery, University of Utah, Salt Lake City, Utah 84112, USA
| | - Hugh M Robertson
- Department of Entomology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - Nikolaus Koeniger
- Department of Behavioral Physiology and Sociobiology (Zoology II), University of Würzburg, 97074 Würzburg, Germany
| | - Panuwan Chantawannakul
- Environmental Science Research Center (ESRC) and Department of Biology, Faculty of Science, Chiang Mai University, Chiang Mai 50200, Thailand
| | - Michael C Schatz
- Departments of Computer Science and Biology, Johns Hopkins University, Baltimore, Maryland 21218, USA
| | - Kim C Worley
- Department of Molecular and Human Genetics, Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas 77030, USA
| | - Gene E Robinson
- Department of Entomology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
- Neuroscience Program, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - Christine G Elsik
- MU Institute for Data Science and Informatics, University of Missouri, Columbia, Missouri 65211, USA
- Division of Animal Sciences, University of Missouri, Columbia, Missouri 65211, USA
- Division of Plant Sciences, University of Missouri, Columbia, Missouri 65211, USA
| | - Olav Rueppell
- Department of Biology, University of North Carolina at Greensboro, Greensboro, North Carolina 27403, USA
- Department of Biological Sciences, University of Alberta, Edmonton, Alberta T6G 2E9, Canada
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Cohen C, Texier BD, Laffaye G, Auvray L, Clanet C. Weightlifting and the actomyosin cycle. Proc Math Phys Eng Sci 2015. [DOI: 10.1098/rspa.2015.0473] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
How does a human lift a weight? Can we relate the dynamics of the lift to the molecular actin–myosin interactions responsible for muscle contraction? We address these questions with bench press experiments that we analyse with a theoretical model, based on the sliding filament theory. The agreement is fair, and we discuss its possible extension to medical diagnostics.
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Affiliation(s)
- C. Cohen
- LadHyX, UMR7646 du CNRS, Ecole Polytechnique, 91128, Palaiseau
| | | | - G. Laffaye
- CIAMS, Univ. Paris-Sud, Université Paris-Saclay, 91405 Orsay Cedex, France
| | - L. Auvray
- Laboratoire Matiére et Systémes Complexes, UMR 7057, CNRS, Université Paris 7 Diderot 75205, Paris, France
| | - C. Clanet
- LadHyX, UMR7646 du CNRS, Ecole Polytechnique, 91128, Palaiseau
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Odronitz F, Kollmar M. Comparative genomic analysis of the arthropod muscle myosin heavy chain genes allows ancestral gene reconstruction and reveals a new type of 'partially' processed pseudogene. BMC Mol Biol 2008; 9:21. [PMID: 18254963 PMCID: PMC2257972 DOI: 10.1186/1471-2199-9-21] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2007] [Accepted: 02/06/2008] [Indexed: 01/25/2023] Open
Abstract
BACKGROUND Alternative splicing of mutually exclusive exons is an important mechanism for increasing protein diversity in eukaryotes. The insect Mhc (myosin heavy chain) gene produces all different muscle myosins as a result of alternative splicing in contrast to most other organisms of the Metazoa lineage, that have a family of muscle genes with each gene coding for a protein specialized for a functional niche. RESULTS The muscle myosin heavy chain genes of 22 species of the Arthropoda ranging from the waterflea to wasp and Drosophila have been annotated. The analysis of the gene structures allowed the reconstruction of an ancient muscle myosin heavy chain gene and showed that during evolution of the arthropods introns have mainly been lost in these genes although intron gain might have happened in a few cases. Surprisingly, the genome of Aedes aegypti contains another and that of Culex pipiens quinquefasciatus two further muscle myosin heavy chain genes, called Mhc3 and Mhc4, that contain only one variant of the corresponding alternative exons of the Mhc1 gene. Mhc3 transcription in Aedes aegypti is documented by EST data. Mhc3 and Mhc4 inserted in the Aedes and Culex genomes either by gene duplication followed by the loss of all but one variant of the alternative exons, or by incorporation of a transcript of which all other variants have been spliced out retaining the exon-intron structure. The second and more likely possibility represents a new type of a 'partially' processed pseudogene. CONCLUSION Based on the comparative genomic analysis of the alternatively spliced arthropod muscle myosin heavy chain genes we propose that the splicing process operates sequentially on the transcript. The process consists of the splicing of the mutually exclusive exons until one exon out of the cluster remains while retaining surrounding intronic sequence. In a second step splicing of introns takes place. A related mechanism could be responsible for the splicing of other genes containing mutually exclusive exons.
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Affiliation(s)
- Florian Odronitz
- Abteilung NMR basierte Strukturbiologie, Max-Planck-Institut für Biophysikalische Chemie, Am Fassberg 11, D-37077 Göttingen, Germany
| | - Martin Kollmar
- Abteilung NMR basierte Strukturbiologie, Max-Planck-Institut für Biophysikalische Chemie, Am Fassberg 11, D-37077 Göttingen, Germany
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Yu H, Ma L, Yang Y, Cui Q. Mechanochemical coupling in the myosin motor domain. II. Analysis of critical residues. PLoS Comput Biol 2007; 3:e23. [PMID: 17305418 PMCID: PMC1800309 DOI: 10.1371/journal.pcbi.0030023] [Citation(s) in RCA: 61] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2006] [Accepted: 12/21/2006] [Indexed: 12/02/2022] Open
Abstract
An important challenge in the analysis of mechanochemical coupling in molecular motors is to identify residues that dictate the tight coupling between the chemical site and distant structural rearrangements. In this work, a systematic attempt is made to tackle this issue for the conventional myosin. By judiciously combining a range of computational techniques with different approximations and strength, which include targeted molecular dynamics, normal mode analysis, and statistical coupling analysis, we are able to identify a set of important residues and propose their relevant function during the recovery stroke of myosin. These analyses also allowed us to make connections with previous experimental and computational studies in a critical manner. The behavior of the widely used reporter residue, Trp501, in the simulations confirms the concern that its fluorescence does not simply reflect the relay loop conformation or active-site open/close but depends subtly on its microenvironment. The findings in the targeted molecular dynamics and a previous minimum energy path analysis of the recovery stroke have been compared and analyzed, which emphasized the difference and complementarity of the two approaches. In conjunction with our previous studies, the current set of investigations suggest that the modulation of structural flexibility at both the local (e.g., active-site) and domain scales with strategically placed "hotspot" residues and phosphate chemistry is likely the general feature for mechanochemical coupling in many molecular motors. The fundamental strategies of examining both collective and local changes and combining physically motivated methods and informatics-driven techniques are expected to be valuable to the study of other molecular motors and allosteric systems in general.
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Affiliation(s)
- Haibo Yu
- Department of Chemistry, University of Wisconsin, Madison, Wisconsin, United States of America
- Theoretical Chemistry Institute, University of Wisconsin, Madison, Wisconsin, United States of America
| | - Liang Ma
- Department of Chemistry, University of Wisconsin, Madison, Wisconsin, United States of America
- Theoretical Chemistry Institute, University of Wisconsin, Madison, Wisconsin, United States of America
| | - Yang Yang
- Department of Chemistry, University of Wisconsin, Madison, Wisconsin, United States of America
- Theoretical Chemistry Institute, University of Wisconsin, Madison, Wisconsin, United States of America
| | - Qiang Cui
- Department of Chemistry, University of Wisconsin, Madison, Wisconsin, United States of America
- Theoretical Chemistry Institute, University of Wisconsin, Madison, Wisconsin, United States of America
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Yu H, Ma L, Yang Y, Cui Q. Mechanochemical coupling in the myosin motor domain. I. Insights from equilibrium active-site simulations. PLoS Comput Biol 2007; 3:e21. [PMID: 17291159 PMCID: PMC1796662 DOI: 10.1371/journal.pcbi.0030021] [Citation(s) in RCA: 42] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2006] [Accepted: 12/21/2006] [Indexed: 12/28/2022] Open
Abstract
Although the major structural transitions in molecular motors are often argued to couple to the binding of Adenosine triphosphate (ATP), the recovery stroke in the conventional myosin has been shown to be dependent on the hydrolysis of ATP. To obtain a clearer mechanistic picture for such "mechanochemical coupling" in myosin, equilibrium active-site simulations with explicit solvent have been carried out to probe the behavior of the motor domain as functions of the nucleotide chemical state and conformation of the converter/relay helix. In conjunction with previous studies of ATP hydrolysis with different active-site conformations and normal mode analysis of structural flexibility, the results help establish an energetics-based framework for understanding the mechanochemical coupling. It is proposed that the activation of hydrolysis does not require the rotation of the lever arm per se, but the two processes are tightly coordinated because both strongly couple to the open/close transition of the active site. The underlying picture involves shifts in the dominant population of different structural motifs as a consequence of changes elsewhere in the motor domain. The contribution of this work and the accompanying paper [] is to propose the actual mechanism behind these "population shifts" and residues that play important roles in the process. It is suggested that structural flexibilities at both the small and large scales inherent to the motor domain make it possible to implement tight couplings between different structural motifs while maintaining small free-energy drops for processes that occur in the detached states, which is likely a feature shared among many molecular motors. The significantly different flexibility of the active site in different X-ray structures with variable level arm orientations supports the notation that external force sensed by the lever arm may transmit into the active site and influence the chemical steps (nucleotide hydrolysis and/or binding).
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Affiliation(s)
- Haibo Yu
- Department of Chemistry, University of Wisconsin, Madison, Wisconsin, United States of America
- Theoretical Chemistry Institute, University of Wisconsin, Madison, Wisconsin, United States of America
| | - Liang Ma
- Department of Chemistry, University of Wisconsin, Madison, Wisconsin, United States of America
- Theoretical Chemistry Institute, University of Wisconsin, Madison, Wisconsin, United States of America
| | - Yang Yang
- Department of Chemistry, University of Wisconsin, Madison, Wisconsin, United States of America
- Theoretical Chemistry Institute, University of Wisconsin, Madison, Wisconsin, United States of America
| | - Qiang Cui
- Department of Chemistry, University of Wisconsin, Madison, Wisconsin, United States of America
- Theoretical Chemistry Institute, University of Wisconsin, Madison, Wisconsin, United States of America
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