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Aubel M, Buchel F, Heames B, Jones A, Honc O, Bornberg-Bauer E, Hlouchova K. High-throughput Selection of Human de novo-emerged sORFs with High Folding Potential. Genome Biol Evol 2024; 16:evae069. [PMID: 38597156 PMCID: PMC11024478 DOI: 10.1093/gbe/evae069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Revised: 03/11/2024] [Accepted: 03/23/2024] [Indexed: 04/11/2024] Open
Abstract
De novo genes emerge from previously noncoding stretches of the genome. Their encoded de novo proteins are generally expected to be similar to random sequences and, accordingly, with no stable tertiary fold and high predicted disorder. However, structural properties of de novo proteins and whether they differ during the stages of emergence and fixation have not been studied in depth and rely heavily on predictions. Here we generated a library of short human putative de novo proteins of varying lengths and ages and sorted the candidates according to their structural compactness and disorder propensity. Using Förster resonance energy transfer combined with Fluorescence-activated cell sorting, we were able to screen the library for most compact protein structures, as well as most elongated and flexible structures. We find that compact de novo proteins are on average slightly shorter and contain lower predicted disorder than less compact ones. The predicted structures for most and least compact de novo proteins correspond to expectations in that they contain more secondary structure content or higher disorder content, respectively. Our experiments indicate that older de novo proteins have higher compactness and structural propensity compared with young ones. We discuss possible evolutionary scenarios and their implications underlying the age-dependencies of compactness and structural content of putative de novo proteins.
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Affiliation(s)
- Margaux Aubel
- Institute for Evolution and Biodiversity, University of Muenster, Muenster, Germany
| | - Filip Buchel
- Department of Cell Biology, Faculty of Science, Charles University, Prague, Czech Republic
- Department of Biochemistry, Faculty of Science, Charles University, Prague, Czech Republic
| | - Brennen Heames
- Institute for Evolution and Biodiversity, University of Muenster, Muenster, Germany
| | - Alun Jones
- Institute for Evolution and Biodiversity, University of Muenster, Muenster, Germany
| | - Ondrej Honc
- Imaging Methods Core Facility, BIOCEV, Prague, Czech Republic
| | - Erich Bornberg-Bauer
- Institute for Evolution and Biodiversity, University of Muenster, Muenster, Germany
- Department of Protein Evolution, Max Planck-Institute for Biology Tuebingen, Tuebingen, Germany
| | - Klara Hlouchova
- Department of Cell Biology, Faculty of Science, Charles University, Prague, Czech Republic
- Institute of Organic Chemistry and Biochemistry, Czech Academy of Sciences, Prague, Czech Republic
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2
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Grandchamp A, Czuppon P, Bornberg-Bauer E. Quantification and modeling of turnover dynamics of de novo transcripts in Drosophila melanogaster. Nucleic Acids Res 2024; 52:274-287. [PMID: 38000384 PMCID: PMC10783523 DOI: 10.1093/nar/gkad1079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Revised: 10/13/2023] [Accepted: 10/28/2023] [Indexed: 11/26/2023] Open
Abstract
Most of the transcribed eukaryotic genomes are composed of non-coding transcripts. Among these transcripts, some are newly transcribed when compared to outgroups and are referred to as de novo transcripts. De novo transcripts have been shown to play a major role in genomic innovations. However, little is known about the rates at which de novo transcripts are gained and lost in individuals of the same species. Here, we address this gap and estimate the de novo transcript turnover rate with an evolutionary model. We use DNA long reads and RNA short reads from seven geographically remote samples of inbred individuals of Drosophila melanogaster to detect de novo transcripts that are gained on a short evolutionary time scale. Overall, each sampled individual contains around 2500 unspliced de novo transcripts, with most of them being sample specific. We estimate that around 0.15 transcripts are gained per year, and that each gained transcript is lost at a rate around 5× 10-5 per year. This high turnover of transcripts suggests frequent exploration of new genomic sequences within species. These rate estimates are essential to comprehend the process and timescale of de novo gene birth.
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Affiliation(s)
- Anna Grandchamp
- Institute for Evolution and Biodiversity, University of Münster, Münster, Germany
| | - Peter Czuppon
- Institute for Evolution and Biodiversity, University of Münster, Münster, Germany
| | - Erich Bornberg-Bauer
- Institute for Evolution and Biodiversity, University of Münster, Münster, Germany
- Department of Protein Evolution, Max Planck Institute for Biology, Tübingen, Germany
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3
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Fouks B, Harrison MC, Mikhailova AA, Marchal E, English S, Carruthers M, Jennings EC, Chiamaka EL, Frigard RA, Pippel M, Attardo GM, Benoit JB, Bornberg-Bauer E, Tobe SS. Live-bearing cockroach genome reveals convergent evolutionary mechanisms linked to viviparity in insects and beyond. iScience 2023; 26:107832. [PMID: 37829199 PMCID: PMC10565785 DOI: 10.1016/j.isci.2023.107832] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Revised: 02/13/2023] [Accepted: 09/01/2023] [Indexed: 10/14/2023] Open
Abstract
Live birth (viviparity) has arisen repeatedly and independently among animals. We sequenced the genome and transcriptome of the viviparous Pacific beetle-mimic cockroach and performed comparative analyses with two other viviparous insect lineages, tsetse flies and aphids, to unravel the basis underlying the transition to viviparity in insects. We identified pathways undergoing adaptive evolution for insects, involved in urogenital remodeling, tracheal system, heart development, and nutrient metabolism. Transcriptomic analysis of cockroach and tsetse flies revealed that uterine remodeling and nutrient production are increased and the immune response is altered during pregnancy, facilitating structural and physiological changes to accommodate and nourish the progeny. These patterns of convergent evolution of viviparity among insects, together with similar adaptive mechanisms identified among vertebrates, highlight that the transition to viviparity requires changes in urogenital remodeling, enhanced tracheal and heart development (corresponding to angiogenesis in vertebrates), altered nutrient metabolism, and shifted immunity in animal systems.
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Affiliation(s)
- Bertrand Fouks
- University of Münster, Institute for Evolution and Biodiversity, Molecular Evolution and Bioinformatics, Hüfferstrasse 1, 48149 Münster, Germany
| | - Mark C. Harrison
- University of Münster, Institute for Evolution and Biodiversity, Molecular Evolution and Bioinformatics, Hüfferstrasse 1, 48149 Münster, Germany
| | - Alina A. Mikhailova
- University of Münster, Institute for Evolution and Biodiversity, Molecular Evolution and Bioinformatics, Hüfferstrasse 1, 48149 Münster, Germany
| | - Elisabeth Marchal
- Department of Biology, Molecular Developmental Physiology and Signal Transduction Lab., Division of Animal Physiology and Neurobiology, Naamsestraat 59-Box 2465, B-3000 Leuven, Belgium
| | - Sinead English
- School of Biological Sciences, University of Bristol, Bristol BS8 1TQ, UK
| | | | - Emily C. Jennings
- Department of Biological Sciences, University of Cincinnati, Cincinnati, OH 45221, USA
| | - Ezemuoka L. Chiamaka
- Department of Biological Sciences, University of Cincinnati, Cincinnati, OH 45221, USA
| | - Ronja A. Frigard
- Department of Biological Sciences, University of Cincinnati, Cincinnati, OH 45221, USA
| | - Martin Pippel
- Max Planck Institute of Molecular Cell Biology and Genetics, Pfotenhauerstrasse 108, 01307 Dresden, Germany
| | - Geoffrey M. Attardo
- Department of Entomology and Nematology, College of Agriculture and Environmental Sciences, University of California, Davis, Davis, CA, USA
| | - Joshua B. Benoit
- Department of Biological Sciences, University of Cincinnati, Cincinnati, OH 45221, USA
| | - Erich Bornberg-Bauer
- University of Münster, Institute for Evolution and Biodiversity, Molecular Evolution and Bioinformatics, Hüfferstrasse 1, 48149 Münster, Germany
- Department of Protein Evolution, Max Planck Institute for Biology, Max-Planck-Ring 5, 72076 Tübingen, Germany
| | - Stephen S. Tobe
- Department of Biology, Molecular Developmental Physiology and Signal Transduction Lab., Division of Animal Physiology and Neurobiology, Naamsestraat 59-Box 2465, B-3000 Leuven, Belgium
- Department of Cell and Systems Biology, University of Toronto, Toronto, Canada
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4
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Thorburn DMJ, Sagonas K, Binzer-Panchal M, Chain FJJ, Feulner PGD, Bornberg-Bauer E, Reusch TBH, Samonte-Padilla IE, Milinski M, Lenz TL, Eizaguirre C. Origin matters: Using a local reference genome improves measures in population genomics. Mol Ecol Resour 2023; 23:1706-1723. [PMID: 37489282 DOI: 10.1111/1755-0998.13838] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 05/10/2023] [Accepted: 06/02/2023] [Indexed: 07/26/2023]
Abstract
Genome sequencing enables answering fundamental questions about the genetic basis of adaptation, population structure and epigenetic mechanisms. Yet, we usually need a suitable reference genome for mapping population-level resequencing data. In some model systems, multiple reference genomes are available, giving the challenging task of determining which reference genome best suits the data. Here, we compared the use of two different reference genomes for the three-spined stickleback (Gasterosteus aculeatus), one novel genome derived from a European gynogenetic individual and the published reference genome of a North American individual. Specifically, we investigated the impact of using a local reference versus one generated from a distinct lineage on several common population genomics analyses. Through mapping genome resequencing data of 60 sticklebacks from across Europe and North America, we demonstrate that genetic distance among samples and the reference genomes impacts downstream analyses. Using a local reference genome increased mapping efficiency and genotyping accuracy, effectively retaining more and better data. Despite comparable distributions of the metrics generated across the genome using SNP data (i.e. π, Tajima's D and FST ), window-based statistics using different references resulted in different outlier genes and enriched gene functions. A marker-based analysis of DNA methylation distributions had a comparably high overlap in outlier genes and functions, yet with distinct differences depending on the reference genome. Overall, our results highlight how using a local reference genome decreases reference bias to increase confidence in downstream analyses of the data. Such results have significant implications in all reference-genome-based population genomic analyses.
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Affiliation(s)
- Doko-Miles J Thorburn
- School of Biological and Chemical Sciences, Queen Mary University of London, London, UK
- Department of Life Sciences, Imperial College London, London, UK
| | - Kostas Sagonas
- School of Biological and Chemical Sciences, Queen Mary University of London, London, UK
- Department of Zoology, School of Biology, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Mahesh Binzer-Panchal
- Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, National Bioinformatics Infrastructure Sweden (NBIS), Uppsala University, Uppsala, Sweden
| | - Frederic J J Chain
- Department of Biological Sciences, University of Massachusetts Lowell, Lowell, Massachusetts, USA
| | - Philine G D Feulner
- Department of Fish Ecology and Evolution, Centre of Ecology, Evolution and Biogeochemistry, EAWAG Swiss Federal Institute of Aquatic Science and Technology, Kastanienbaum, Switzerland
- Division of Aquatic Ecology and Evolution, Institute of Ecology and Evolution, University of Bern, Bern, Switzerland
| | - Erich Bornberg-Bauer
- Evolutionary Bioinformatics, Institute for Evolution and Biodiversity, University of Münster, Münster, Germany
| | - Thorsten B H Reusch
- Marine Evolutionary Ecology, GEOMAR Helmholtz Centre for Ocean Research, Kiel, Germany
| | - Irene E Samonte-Padilla
- Department of Evolutionary Ecology, Max Planck Institute for Evolutionary Biology, Plön, Germany
| | - Manfred Milinski
- Department of Evolutionary Ecology, Max Planck Institute for Evolutionary Biology, Plön, Germany
| | - Tobias L Lenz
- Research Group for Evolutionary Immunogenomics, Max Planck Institute for Evolutionary Biology, Plön, Germany
- Research Unit for Evolutionary Immunogenomics, Department of Biology, University of Hamburg, Hamburg, Germany
| | - Christophe Eizaguirre
- School of Biological and Chemical Sciences, Queen Mary University of London, London, UK
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5
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Grandchamp A, Kühl L, Lebherz M, Brüggemann K, Parsch J, Bornberg-Bauer E. Population genomics reveals mechanisms and dynamics of de novo expressed open reading frame emergence in Drosophila melanogaster. Genome Res 2023; 33:872-890. [PMID: 37442576 PMCID: PMC10519401 DOI: 10.1101/gr.277482.122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Accepted: 06/06/2023] [Indexed: 07/15/2023]
Abstract
Novel genes are essential for evolutionary innovations and differ substantially even between closely related species. Recently, multiple studies across many taxa showed that some novel genes arise de novo, that is, from previously noncoding DNA. To characterize the underlying mutations that allowed de novo gene emergence and their order of occurrence, homologous regions must be detected within noncoding sequences in closely related sister genomes. So far, most studies do not detect noncoding homologs of de novo genes because of incomplete assemblies and annotations, and long evolutionary distances separating genomes. Here, we overcome these issues by searching for de novo expressed open reading frames (neORFs), the not-yet fixed precursors of de novo genes that emerged within a single species. We sequenced and assembled genomes with long-read technology and the corresponding transcriptomes from inbred lines of Drosophila melanogaster, derived from seven geographically diverse populations. We found line-specific neORFs in abundance but few neORFs shared by lines, suggesting a rapid turnover. Gain and loss of transcription is more frequent than the creation of ORFs, for example, by forming new start and stop codons. Consequently, the gain of ORFs becomes rate limiting and is frequently the initial step in neORFs emergence. Furthermore, transposable elements (TEs) are major drivers for intragenomic duplications of neORFs, yet TE insertions are less important for the emergence of neORFs. However, highly mutable genomic regions around TEs provide new features that enable gene birth. In conclusion, neORFs have a high birth-death rate, are rapidly purged, but surviving neORFs spread neutrally through populations and within genomes.
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Affiliation(s)
- Anna Grandchamp
- Institute for Evolution and Biodiversity, University of Münster, 48149 Münster, Germany;
| | - Lucas Kühl
- Institute for Evolution and Biodiversity, University of Münster, 48149 Münster, Germany
| | - Marie Lebherz
- Institute for Evolution and Biodiversity, University of Münster, 48149 Münster, Germany
| | - Kathrin Brüggemann
- Institute for Evolution and Biodiversity, University of Münster, 48149 Münster, Germany
| | - John Parsch
- Division of Evolutionary Biology, Faculty of Biology, Ludwig-Maximilians-Universität München, 82152 Munich, Germany
| | - Erich Bornberg-Bauer
- Institute for Evolution and Biodiversity, University of Münster, 48149 Münster, Germany
- Max Planck Institute for Biology Tübingen, Department of Protein Evolution, 72076 Tübingen, Germany
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6
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Ravi Iyengar B, Bornberg-Bauer E. Neutral models of de novo gene emergence suggest that gene evolution has a preferred trajectory. Mol Biol Evol 2023; 40:7100680. [PMID: 37011142 PMCID: PMC10118301 DOI: 10.1093/molbev/msad079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2023] [Revised: 03/01/2023] [Accepted: 03/28/2023] [Indexed: 04/05/2023] Open
Abstract
New protein coding genes can emerge from genomic regions that previously did not contain any genes, via a process called de novo gene emergence. To synthesize a protein, DNA must be transcribed as well as translated. Both processes need certain DNA sequence features. Stable transcription requires promoters and a polyadenylation signal, while translation requires at least an open reading frame (ORF). We develop mathematical models based on mutation probabilities, and the assumption of neutral evolution, to find out how quickly genes emerge and are lost. We also investigate the effect of the order by which DNA features evolve, and if sequence composition is biased by mutation rate. We rationalize how genes are lost much more rapidly than they emerge, and how they preferentially arise in regions that are already transcribed. Our study not only answers some fundamental questions on the topic of de novo emergence but also provides a modeling framework for future studies.
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Affiliation(s)
- Bharat Ravi Iyengar
- Institute for Evolution and Biodiversity, University of Münster, Hüfferstrasse 1, 48149 Münster, Germany
| | - Erich Bornberg-Bauer
- Institute for Evolution and Biodiversity, University of Münster, Hüfferstrasse 1, 48149 Münster, Germany
- Department of Protein Evolution, Max Planck Institute for Biology Tübingen, Max-Planck-Ring 5, 72076 Tübingen, Germany
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7
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Heames B, Buchel F, Aubel M, Tretyachenko V, Loginov D, Novák P, Lange A, Bornberg-Bauer E, Hlouchová K. Experimental characterization of de novo proteins and their unevolved random-sequence counterparts. Nat Ecol Evol 2023; 7:570-580. [PMID: 37024625 PMCID: PMC10089919 DOI: 10.1038/s41559-023-02010-2] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Accepted: 02/10/2023] [Indexed: 04/08/2023]
Abstract
De novo gene emergence provides a route for new proteins to be formed from previously non-coding DNA. Proteins born in this way are considered random sequences and typically assumed to lack defined structure. While it remains unclear how likely a de novo protein is to assume a soluble and stable tertiary structure, intersecting evidence from random sequence and de novo-designed proteins suggests that native-like biophysical properties are abundant in sequence space. Taking putative de novo proteins identified in human and fly, we experimentally characterize a library of these sequences to assess their solubility and structure propensity. We compare this library to a set of synthetic random proteins with no evolutionary history. Bioinformatic prediction suggests that de novo proteins may have remarkably similar distributions of biophysical properties to unevolved random sequences of a given length and amino acid composition. However, upon expression in vitro, de novo proteins exhibit moderately higher solubility which is further induced by the DnaK chaperone system. We suggest that while synthetic random sequences are a useful proxy for de novo proteins in terms of structure propensity, de novo proteins may be better integrated in the cellular system than random expectation, given their higher solubility.
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Affiliation(s)
- Brennen Heames
- Institute for Evolution and Biodiversity, University of Münster, Münster, Germany
| | - Filip Buchel
- Department of Cell Biology, Charles University, BIOCEV, Prague, Czech Republic
- Department of Biochemistry, Charles University, Prague, Czech Republic
| | - Margaux Aubel
- Institute for Evolution and Biodiversity, University of Münster, Münster, Germany
| | | | - Dmitry Loginov
- Institute of Microbiology, Czech Academy of Sciences, Prague, Czech Republic
| | - Petr Novák
- Institute of Microbiology, Czech Academy of Sciences, Prague, Czech Republic
| | - Andreas Lange
- Institute for Evolution and Biodiversity, University of Münster, Münster, Germany
| | - Erich Bornberg-Bauer
- Institute for Evolution and Biodiversity, University of Münster, Münster, Germany.
- Department of Protein Evolution, MPI for Developmental Biology, Tübingen, Germany.
| | - Klára Hlouchová
- Department of Cell Biology, Charles University, BIOCEV, Prague, Czech Republic.
- Institute of Organic Chemistry and Biochemistry, Czech Academy of Sciences, Prague, Czech Republic.
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8
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Abstract
Background: De novo protein coding genes emerge from scratch in the non-coding regions of the genome and have, per definition, no homology to other genes. Therefore, their encoded de novo proteins belong to the so-called "dark protein space". So far, only four de novo protein structures have been experimentally approximated. Low homology, presumed high disorder and limited structures result in low confidence structural predictions for de novo proteins in most cases. Here, we look at the most widely used structure and disorder predictors and assess their applicability for de novo emerged proteins. Since AlphaFold2 is based on the generation of multiple sequence alignments and was trained on solved structures of largely conserved and globular proteins, its performance on de novo proteins remains unknown. More recently, natural language models of proteins have been used for alignment-free structure predictions, potentially making them more suitable for de novo proteins than AlphaFold2. Methods: We applied different disorder predictors (IUPred3 short/long, flDPnn) and structure predictors, AlphaFold2 on the one hand and language-based models (Omegafold, ESMfold, RGN2) on the other hand, to four de novo proteins with experimental evidence on structure. We compared the resulting predictions between the different predictors as well as to the existing experimental evidence. Results: Results from IUPred, the most widely used disorder predictor, depend heavily on the choice of parameters and differ significantly from flDPnn which has been found to outperform most other predictors in a comparative assessment study recently. Similarly, different structure predictors yielded varying results and confidence scores for de novo proteins. Conclusions: We suggest that, while in some cases protein language model based approaches might be more accurate than AlphaFold2, the structure prediction of de novo emerged proteins remains a difficult task for any predictor, be it disorder or structure.
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Affiliation(s)
- Margaux Aubel
- Institute for Evolution and Bidiversity, University of Muenster, Muenster, 48149, Germany
| | - Lars Eicholt
- Institute for Evolution and Bidiversity, University of Muenster, Muenster, 48149, Germany
| | - Erich Bornberg-Bauer
- Institute for Evolution and Bidiversity, University of Muenster, Muenster, 48149, Germany
- Department Protein Evolution, Max Planck-Institute for Biology, Tuebingen, 72076, Germany
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9
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Post F, Bornberg-Bauer E, Vasseur-Cognet M, Harrison MC. More effective transposon regulation in fertile, long-lived termite queens than in sterile workers. Mol Ecol 2023; 32:369-380. [PMID: 36320186 DOI: 10.1111/mec.16753] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Revised: 10/04/2022] [Accepted: 10/07/2022] [Indexed: 11/19/2022]
Abstract
Transposable elements (TEs) are mobile genetic sequences, which can cause the accumulation of genomic damage in the lifetime of an organism. The regulation of TEs, for instance via the piRNA-pathway, is an important mechanism to protect the integrity of genomes, especially in the germ-line where mutations can be transmitted to offspring. In eusocial insects, soma and germ-line are divided among worker and reproductive castes, so one may expect caste-specific differences in TE regulation to exist. To test this, we compared whole-genome levels of repeat element transcription in the fat body of female workers, kings and five different queen stages of the higher termite, Macrotermes natalensis. In this species, queens can live over 20 years, maintaining near maximum reproductive output, while sterile workers only live weeks. We found a strong, positive correlation between TE expression and the expression of neighbouring genes in all castes. However, we found substantially higher TE activity in workers than in reproductives. Furthermore, TE expression did not increase with age in queens, despite a sevenfold increase in overall gene expression, due to a significant upregulation of the piRNA-pathway in 20-year-old queens. Our results suggest a caste- and age-specific regulation of the piRNA-pathway has evolved in higher termites that is analogous to germ-line-specific activity in solitary organisms. In the fat body of these termite queens, an important metabolic tissue for maintaining their extreme longevity and reproductive output, an efficient regulation of TEs likely protects genome integrity, thus further promoting reproductive fitness even at high age.
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Affiliation(s)
- Frederik Post
- Institute for Evolution and Biodiversity, University of Münster, Münster, Germany
| | - Erich Bornberg-Bauer
- Institute for Evolution and Biodiversity, University of Münster, Münster, Germany
| | - Mireille Vasseur-Cognet
- UMR IRD 242, UPEC, CNRS 7618, UPMC 113, INRAE 1392, Paris 7 113, Institute of Ecology and Environmental Sciences of Paris, Bondy, France.,University of Paris-Est, Créteil, France.,INSERM, Paris, France
| | - Mark C Harrison
- Institute for Evolution and Biodiversity, University of Münster, Münster, Germany
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10
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Berger J, Legendre F, Zelosko KM, Harrison MC, Grandcolas P, Bornberg-Bauer E, Fouks B. Eusocial Transition in Blattodea: Transposable Elements and Shifts of Gene Expression. Genes (Basel) 2022; 13:1948. [PMID: 36360186 PMCID: PMC9689775 DOI: 10.3390/genes13111948] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 10/19/2022] [Accepted: 10/20/2022] [Indexed: 11/07/2023] Open
Abstract
(1) Unravelling the molecular basis underlying major evolutionary transitions can shed light on how complex phenotypes arise. The evolution of eusociality, a major evolutionary transition, has been demonstrated to be accompanied by enhanced gene regulation. Numerous pieces of evidence suggest the major impact of transposon insertion on gene regulation and its role in adaptive evolution. Transposons have been shown to be play a role in gene duplication involved in the eusocial transition in termites. However, evidence of the molecular basis underlying the eusocial transition in Blattodea remains scarce. Could transposons have facilitated the eusocial transition in termites through shifts of gene expression? (2) Using available cockroach and termite genomes and transcriptomes, we investigated if transposons insert more frequently in genes with differential expression in queens and workers and if those genes could be linked to specific functions essential for eusocial transition. (3) The insertion rate of transposons differs among differentially expressed genes and displays opposite trends between termites and cockroaches. The functions of termite transposon-rich queen- and worker-biased genes are related to reproduction and ageing and behaviour and gene expression, respectively. (4) Our study provides further evidence on the role of transposons in the evolution of eusociality, potentially through shifts in gene expression.
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Affiliation(s)
- Juliette Berger
- Institut de Systématique, Évolution, Biodiversité (ISYEB), Muséum National d’Histoire Naturelle, CNRS, Sorbonne Université, EPHE, Université des Antilles, CP50, 57 rue Cuvier, 75005 Paris, France
| | - Frédéric Legendre
- Institut de Systématique, Évolution, Biodiversité (ISYEB), Muséum National d’Histoire Naturelle, CNRS, Sorbonne Université, EPHE, Université des Antilles, CP50, 57 rue Cuvier, 75005 Paris, France
| | - Kevin-Markus Zelosko
- Institute for Evolution and Biodiversity, Molecular Evolution and Bioinformatics, Westfälische Wilhelms-Universität, Hüfferstrasse 1, 48149 Münster, Germany
| | - Mark C. Harrison
- Institute for Evolution and Biodiversity, Molecular Evolution and Bioinformatics, Westfälische Wilhelms-Universität, Hüfferstrasse 1, 48149 Münster, Germany
| | - Philippe Grandcolas
- Institut de Systématique, Évolution, Biodiversité (ISYEB), Muséum National d’Histoire Naturelle, CNRS, Sorbonne Université, EPHE, Université des Antilles, CP50, 57 rue Cuvier, 75005 Paris, France
| | - Erich Bornberg-Bauer
- Institute for Evolution and Biodiversity, Molecular Evolution and Bioinformatics, Westfälische Wilhelms-Universität, Hüfferstrasse 1, 48149 Münster, Germany
- Department of Protein Evolution, Max Planck Institute for Developmental Biology, Max-Planck-Ring 5, 72076 Tübingen, Germany
| | - Bertrand Fouks
- Institute for Evolution and Biodiversity, Molecular Evolution and Bioinformatics, Westfälische Wilhelms-Universität, Hüfferstrasse 1, 48149 Münster, Germany
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11
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Eenink BDG, Kaminski TS, Bornberg-Bauer E, Jose J, Hollfelder F, van Loo B. Vector redesign and in-droplet cell-growth improves enrichment and recovery in live Escherichia coli. Microb Biotechnol 2022; 15:2845-2853. [PMID: 36099491 PMCID: PMC9618318 DOI: 10.1111/1751-7915.14144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2021] [Revised: 08/23/2022] [Accepted: 09/01/2022] [Indexed: 11/21/2022] Open
Abstract
Directed evolution (DE) is a widely used method for improving the function of biomolecules via multiple rounds of mutation and selection. Microfluidic droplets have emerged as an important means to screen the large libraries needed for DE, but this approach was so far partially limited by the need to lyse cells, recover DNA, and retransform into cells for the next round, necessitating the use of a high‐copy number plasmid or oversampling. The recently developed live cell recovery avoids some of these limitations by directly regrowing selected cells after sorting. However, repeated sorting cycles used to further enrich the most active variants ultimately resulted in unfavourable recovery of empty plasmid vector‐containing cells over those expressing the protein of interest. In this study, we found that engineering of the original expression vector solved the problem of false positives (i.e. plasmids lacking an insert) cells containing empty vectors. Five approaches to measure activity of cell‐displayed enzymes in microdroplets were compared. By comparing various cell treatment methods prior to droplet sorting two things were found. Substrate encapsulation from the start, that is prior to expression of enzyme, showed no disadvantage to post‐induction substrate addition by pico‐injection with respect to recovery of true positive variants. Furthermore in‐droplet cell growth prior to induction of enzyme production improves the total amount of cells retrieved (recovery) and proportion of true positive variants (enrichment) after droplet sorting.
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Affiliation(s)
- Bernard D G Eenink
- Institute for Evolution and Biodiversity, University of Münster, Münster, Germany
| | - Tomasz S Kaminski
- Department of Biochemistry, University of Cambridge, Cambridge, UK.,Department of Environmental Microbiology and Biotechnology, Faculty of Biology, Institute of Microbiology, University of Warsaw, Warsaw, Poland
| | - Erich Bornberg-Bauer
- Institute for Evolution and Biodiversity, University of Münster, Münster, Germany.,Department of Protein Evolution, Max Planck Institute for Developmental Biology, Tübingen, Germany
| | - Joachim Jose
- Institute of Pharmaceutical and Medicinal Chemistry, University of Münster, Münster, Germany
| | | | - Bert van Loo
- Institute for Evolution and Biodiversity, University of Münster, Münster, Germany.,Department of Applied Sciences, Northumbria University, Newcastle-upon-Tyne, UK
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12
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Feldmeyer B, Gstöttl C, Wallner J, Jongepier E, Séguret A, Grasso DA, Bornberg-Bauer E, Foitzik S, Heinze J. Evidence for a conserved queen-worker genetic toolkit across slave-making ants and their ant hosts. Mol Ecol 2022; 31:4991-5004. [PMID: 35920076 DOI: 10.1111/mec.16639] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Revised: 07/04/2022] [Accepted: 07/08/2022] [Indexed: 11/30/2022]
Abstract
The ecological success of social Hymenoptera (ants, bees, wasps) depends on the division of labour between the queen and workers. Each caste exhibits highly specialised morphology, behaviour, and life-history traits, such as lifespan and fecundity. Despite strong defences against alien intruders, insect societies are vulnerable to social parasites, such as workerless inquilines or slave-making ants. Here, we investigate whether gene expression varies in parallel ways between lifestyles (slave-making versus host ants) across five independent origins of ant slavery in the "Formicoxenus-group" of the ant tribe Crematogastrini. As caste differences are often less pronounced in slave-making ants than in non-parasitic ants, we also compare caste-specific gene expression patterns between lifestyles. We demonstrate a substantial overlap in expression differences between queens and workers across taxa, irrespective of lifestyle. Caste affects the transcriptomes much more profoundly than lifestyle, as indicated by 37 times more genes being linked to caste than to lifestyle and by multiple caste-associated modules of co-expressed genes with strong connectivity. However, several genes and one gene module are linked to slave-making across the independent origins of this parasitic lifestyle, pointing to some evolutionary convergence. Finally, we do not find evidence for an interaction between caste and lifestyle, indicating that caste differences in gene expression remain consistent even when species switch to a parasitic lifestyle. Our findings strongly support the existence of a core set of genes whose expression is linked to the queen and worker caste in this ant taxon, as proposed by the "genetic toolkit" hypothesis.
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Affiliation(s)
- B Feldmeyer
- Senckenberg Biodiversity and Climate Research Centre, Frankfurt am Main, Germany
| | - C Gstöttl
- Zoology / Evolutionary Biology, University of Regensburg, Regensburg, Germany
| | - J Wallner
- Zoology / Evolutionary Biology, University of Regensburg, Regensburg, Germany
| | - E Jongepier
- Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Amsterdam, The Netherlands.,Institute for Evolution and Biodiversity, Westfälische Wilhelms University, Münster, Germany
| | - A Séguret
- Institute for Evolution and Biodiversity, Westfälische Wilhelms University, Münster, Germany
| | - D A Grasso
- Department of Chemistry, Life Sciences and Environmental Sustainability, Università di Parma, Parma, Italy
| | - E Bornberg-Bauer
- Institute for Evolution and Biodiversity, Westfälische Wilhelms University, Münster, Germany
| | - S Foitzik
- Institute of Molecular and Organismic Evolution, Johannes Gutenberg University, Mainz, Germany
| | - J Heinze
- Zoology / Evolutionary Biology, University of Regensburg, Regensburg, Germany
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13
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Séité S, Harrison MC, Sillam-Dussès D, Lupoli R, Van Dooren TJM, Robert A, Poissonnier LA, Lemainque A, Renault D, Acket S, Andrieu M, Viscarra J, Sul HS, de Beer ZW, Bornberg-Bauer E, Vasseur-Cognet M. Lifespan prolonging mechanisms and insulin upregulation without fat accumulation in long-lived reproductives of a higher termite. Commun Biol 2022; 5:44. [PMID: 35027667 PMCID: PMC8758687 DOI: 10.1038/s42003-021-02974-6] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Accepted: 12/07/2021] [Indexed: 11/30/2022] Open
Abstract
Kings and queens of eusocial termites can live for decades, while queens sustain a nearly maximal fertility. To investigate the molecular mechanisms underlying their long lifespan, we carried out transcriptomics, lipidomics and metabolomics in Macrotermes natalensis on sterile short-lived workers, long-lived kings and five stages spanning twenty years of adult queen maturation. Reproductives share gene expression differences from workers in agreement with a reduction of several aging-related processes, involving upregulation of DNA damage repair and mitochondrial functions. Anti-oxidant gene expression is downregulated, while peroxidability of membranes in queens decreases. Against expectations, we observed an upregulated gene expression in fat bodies of reproductives of several components of the IIS pathway, including an insulin-like peptide, Ilp9. This pattern does not lead to deleterious fat storage in physogastric queens, while simple sugars dominate in their hemolymph and large amounts of resources are allocated towards oogenesis. Our findings support the notion that all processes causing aging need to be addressed simultaneously in order to prevent it.
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Affiliation(s)
- Sarah Séité
- UMR IRD 242, UPEC, CNRS 7618, UPMC 113, INRAe 1392, Paris 7 113, Institute of Ecology and Environmental Sciences of Paris, Bondy, France
- University of Paris-Est, Créteil, France
| | - Mark C Harrison
- Institute for Evolution and Biodiversity, University of Münster, Münster, Germany
| | - David Sillam-Dussès
- University Sorbonne Paris Nord, Laboratory of Experimental and Comparative Ethology, UR4443, Villetaneuse, France
| | - Roland Lupoli
- UMR IRD 242, UPEC, CNRS 7618, UPMC 113, INRAe 1392, Paris 7 113, Institute of Ecology and Environmental Sciences of Paris, Bondy, France
- University of Paris-Est, Créteil, France
| | - Tom J M Van Dooren
- UMR UPMC 113, IRD 242, UPEC, CNRS 7618, INRA 1392, PARIS 7 113, Institute of Ecology and Environmental Sciences of Paris, Paris, France
- Naturalis Biodiversity Center, Leiden, The Netherlands
| | - Alain Robert
- University Sorbonne Paris Nord, Laboratory of Experimental and Comparative Ethology, UR4443, Villetaneuse, France
| | - Laure-Anne Poissonnier
- Department of Biochemistry, Genetics and Microbiology, Forestry and Agricultural Biotechnology Institute, University of Pretoria, Pretoria, South Africa
| | - Arnaud Lemainque
- Genoscope, François-Jacob Institute of Biology, Alternative Energies and Atomic Energy Commission, University of Paris-Saclay, Evry, France
| | - David Renault
- University of Rennes, CNRS, ECOBIO (Ecosystems, biodiversity, evolution) - UMR, 6553, Rennes, France
- University Institute of France, Paris, France
| | - Sébastien Acket
- University of Technology of Compiègne, UPJV, UMR CNRS 7025, Enzyme and Cell Engineering, Royallieu research Center, Compiègne, France
| | - Muriel Andrieu
- Cochin Institute, UMR INSERM U1016, CNRS 8104, University of Paris Descartes, CYBIO Platform, Paris, France
| | - José Viscarra
- Department of Nutritional Sciences and Toxicology, University of California, Berkeley, CA, USA
| | - Hei Sook Sul
- Department of Nutritional Sciences and Toxicology, University of California, Berkeley, CA, USA
| | - Z Wilhelm de Beer
- Department of Biochemistry, Genetics and Microbiology, Forestry and Agricultural Biotechnology Institute, University of Pretoria, Pretoria, South Africa
| | - Erich Bornberg-Bauer
- Institute for Evolution and Biodiversity, University of Münster, Münster, Germany
| | - Mireille Vasseur-Cognet
- UMR IRD 242, UPEC, CNRS 7618, UPMC 113, INRAe 1392, Paris 7 113, Institute of Ecology and Environmental Sciences of Paris, Bondy, France.
- University of Paris-Est, Créteil, France.
- INSERM, Paris, France.
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14
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Jongepier E, Séguret A, Labutin A, Feldmeyer B, Gstöttl C, Foitzik S, Heinze J, Bornberg-Bauer E. Convergent Loss of Chemoreceptors across Independent Origins of Slave-Making in Ants. Mol Biol Evol 2022; 39:msab305. [PMID: 34668533 PMCID: PMC8760941 DOI: 10.1093/molbev/msab305] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
The evolution of an obligate parasitic lifestyle often leads to the reduction of morphological and physiological traits, which may be accompanied by loss of genes and functions. Slave-making ants are social parasites that exploit the work force of closely related ant species for social behaviors such as brood care and foraging. Recent divergence between these social parasites and their hosts enables comparative studies of gene family evolution. We sequenced the genomes of eight ant species, representing three independent origins of ant slavery. During the evolution of eusociality, chemoreceptor genes multiplied due to the importance of chemical communication in insect societies. We investigated the evolutionary fate of these chemoreceptors and found that slave-making ant genomes harbored only half as many gustatory receptors as their hosts', potentially mirroring the outsourcing of foraging tasks to host workers. In addition, parasites had fewer odorant receptors and their loss shows striking patterns of convergence across independent origins of parasitism, in particular in orthologs often implicated in sociality like the 9-exon odorant receptors. These convergent losses represent a rare case of convergent molecular evolution at the level of individual genes. Thus, evolution can operate in a way that is both repeatable and reversible when independent ant lineages lose important social traits during the transition to a parasitic lifestyle.
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Affiliation(s)
- Evelien Jongepier
- Institute for Evolution and Biodiversity, Westfälische Wilhelms University, Münster, Germany
- Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Amsterdam, The Netherlands
| | - Alice Séguret
- Institute for Evolution and Biodiversity, Westfälische Wilhelms University, Münster, Germany
| | - Anton Labutin
- Institute for Evolution and Biodiversity, Westfälische Wilhelms University, Münster, Germany
| | - Barbara Feldmeyer
- Molecular Ecology Group, Biodiversity and Climate Research Centre, Frankfurt am Main, Germany
| | - Claudia Gstöttl
- Institute for Zoology, University of Regensburg, Regensburg, Germany
| | - Susanne Foitzik
- Institute of Organismic and Molecular Evolution, Johannes Gutenberg University, Mainz, Germany
| | - Jürgen Heinze
- Institute for Zoology, University of Regensburg, Regensburg, Germany
| | - Erich Bornberg-Bauer
- Institute for Evolution and Biodiversity, Westfälische Wilhelms University, Münster, Germany
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15
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Buchholz PCF, van Loo B, Eenink BDG, Bornberg-Bauer E, Pleiss J. Ancestral sequences of a large promiscuous enzyme family correspond to bridges in sequence space in a network representation. J R Soc Interface 2021; 18:20210389. [PMID: 34727710 DOI: 10.1098/rsif.2021.0389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Evolutionary relationships of protein families can be characterized either by networks or by trees. Whereas trees allow for hierarchical grouping and reconstruction of the most likely ancestral sequences, networks lack a time axis but allow for thresholds of pairwise sequence identity to be chosen and, therefore, the clustering of family members with presumably more similar functions. Here, we use the large family of arylsulfatases and phosphonate monoester hydrolases to investigate similarities, strengths and weaknesses in tree and network representations. For varying thresholds of pairwise sequence identity, values of betweenness centrality and clustering coefficients were derived for nodes of the reconstructed ancestors to measure the propensity to act as a bridge in a network. Based on these properties, ancestral protein sequences emerge as bridges in protein sequence networks. Interestingly, many ancestral protein sequences appear close to extant sequences. Therefore, reconstructed ancestor sequences might also be interpreted as yet-to-be-identified homologues. The concept of ancestor reconstruction is compared to consensus sequences, too. It was found that hub sequences in a network, e.g. reconstructed ancestral sequences that are connected to many neighbouring sequences, share closer similarity with derived consensus sequences. Therefore, some reconstructed ancestor sequences can also be interpreted as consensus sequences.
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Affiliation(s)
- Patrick C F Buchholz
- Institute of Biochemistry and Technical Biochemistry, University of Stuttgart, Allmandring 31, Stuttgart 70569, Germany
| | - Bert van Loo
- Department of Applied Sciences, Northumbria University, Newcastle-upon-Tyne NE1 8ST, UK.,Institute for Evolution and Biodiversity, University of Münster, Hüfferstraße 1, Münster 48149, Germany
| | - Bernard D G Eenink
- Institute for Evolution and Biodiversity, University of Münster, Hüfferstraße 1, Münster 48149, Germany
| | - Erich Bornberg-Bauer
- Institute for Evolution and Biodiversity, University of Münster, Hüfferstraße 1, Münster 48149, Germany.,Department of Protein Evolution, Max Planck Institute for Developmental Biology, Max-Planck-Ring 5, Tübingen 72076, Germany
| | - Jürgen Pleiss
- Institute of Biochemistry and Technical Biochemistry, University of Stuttgart, Allmandring 31, Stuttgart 70569, Germany
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16
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Rivard EL, Ludwig AG, Patel PH, Grandchamp A, Arnold SE, Berger A, Scott EM, Kelly BJ, Mascha GC, Bornberg-Bauer E, Findlay GD. A putative de novo evolved gene required for spermatid chromatin condensation in Drosophila melanogaster. PLoS Genet 2021; 17:e1009787. [PMID: 34478447 PMCID: PMC8445463 DOI: 10.1371/journal.pgen.1009787] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Revised: 09/16/2021] [Accepted: 08/19/2021] [Indexed: 02/07/2023] Open
Abstract
Comparative genomics has enabled the identification of genes that potentially evolved de novo from non-coding sequences. Many such genes are expressed in male reproductive tissues, but their functions remain poorly understood. To address this, we conducted a functional genetic screen of over 40 putative de novo genes with testis-enriched expression in Drosophila melanogaster and identified one gene, atlas, required for male fertility. Detailed genetic and cytological analyses showed that atlas is required for proper chromatin condensation during the final stages of spermatogenesis. Atlas protein is expressed in spermatid nuclei and facilitates the transition from histone- to protamine-based chromatin packaging. Complementary evolutionary analyses revealed the complex evolutionary history of atlas. The protein-coding portion of the gene likely arose at the base of the Drosophila genus on the X chromosome but was unlikely to be essential, as it was then lost in several independent lineages. Within the last ~15 million years, however, the gene moved to an autosome, where it fused with a conserved non-coding RNA and evolved a non-redundant role in male fertility. Altogether, this study provides insight into the integration of novel genes into biological processes, the links between genomic innovation and functional evolution, and the genetic control of a fundamental developmental process, gametogenesis.
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Affiliation(s)
- Emily L. Rivard
- College of the Holy Cross, Worcester, Massachusetts, United States of America
| | - Andrew G. Ludwig
- College of the Holy Cross, Worcester, Massachusetts, United States of America
| | - Prajal H. Patel
- College of the Holy Cross, Worcester, Massachusetts, United States of America
| | | | - Sarah E. Arnold
- College of the Holy Cross, Worcester, Massachusetts, United States of America
| | | | - Emilie M. Scott
- College of the Holy Cross, Worcester, Massachusetts, United States of America
| | - Brendan J. Kelly
- College of the Holy Cross, Worcester, Massachusetts, United States of America
| | - Grace C. Mascha
- College of the Holy Cross, Worcester, Massachusetts, United States of America
| | - Erich Bornberg-Bauer
- University of Münster, Münster, Germany
- Max Planck Institute for Developmental Biology, Tübingen, Germany
| | - Geoffrey D. Findlay
- College of the Holy Cross, Worcester, Massachusetts, United States of America
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17
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Martens L, Rühle F, Witten A, Meder B, Katus HA, Arbustini E, Hasenfuß G, Sinner MF, Kääb S, Pankuweit S, Angermann C, Bornberg-Bauer E, Stoll M. A genetic variant alters the secondary structure of the lncRNA H19 and is associated with dilated cardiomyopathy. RNA Biol 2021; 18:409-415. [PMID: 34313541 DOI: 10.1080/15476286.2021.1952756] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
Abstract
lncRNAs are at the core of many regulatory processes and have also been recognized to be involved in various complex diseases. They affect gene regulation through direct interactions with RNA, DNA or proteins. Accordingly, lncRNA structure is likely to be essential for their regulatory function. Point mutations, which manifest as SNPs (single nucleotide polymorphisms) in genome screens, can substantially alter their function and, subsequently, the expression of their downstream regulated genes. To test the effect of SNPs on structure, we investigated lncRNAs associated with dilated cardiomyopathy. Among 322 human candidate lncRNAs, we demonstrate first the significant association of an SNP located in lncRNA H19 using data from 1084 diseased and 751 control patients. H19 is generally highly expressed in the heart, with a complex expression pattern during heart development. Next, we used MFE (minimum free energy) folding to demonstrate a significant refolding in the secondary structure of this 861 nt long lncRNA. Since MFE folding may overlook the importance of sub-optimal structures, we showed that this refolding also manifests in the overall Boltzmann structure ensemble. There, the composition of structures is tremendously affected in their thermodynamic probabilities through the genetic variant. Finally, we confirmed these results experimentally, using SHAPE-Seq, corroborating that SNPs affecting such structures may explain hidden genetic variance not accounted for through genome wide association studies. Our results suggest that structural changes in lncRNAs, and lncRNA H19 in particular, affect regulatory processes and represent optimal targets for further in-depth studies probing their molecular interactions.
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Affiliation(s)
- Leonie Martens
- Department of Genetic Epidemiology, Institute of Human Genetics, University of Münster, Münster, Germany
| | - Frank Rühle
- Department of Genetic Epidemiology, Institute of Human Genetics, University of Münster, Münster, Germany
| | - Anika Witten
- Department of Genetic Epidemiology, Institute of Human Genetics, University of Münster, Münster, Germany
| | - Benjamin Meder
- German Centre for Cardiovascular Research (DZHK), Partner Site Heidelberg/Mannheim, Heidelberg, Germany.,Department of Cardiology, Heidelberg University, Heidelberg, Germany.,Genome Technology Center Stanford, Department of Genetics, Stanford University, Stanford, United States
| | - Hugo A Katus
- German Centre for Cardiovascular Research (DZHK), Partner Site Heidelberg/Mannheim, Heidelberg, Germany.,Department of Cardiology, Heidelberg University, Heidelberg, Germany
| | - Eloisa Arbustini
- Centre for Inherited Cardiovascular Diseases, IRCCS Foundation, University Hospital Policlinico San Matteo, Pavia, Italy
| | - Gerd Hasenfuß
- Department of Cardiology and Pneumology, University Medical Center Göttingen, Göttingen, Germany.,German Center for Cardiovascular Research (DZHK), Partner Site, Göttingen, Germany
| | - Moritz F Sinner
- Department of Cardiology, University Hospital, LMU Munich, Munich, Germany.,German Centre for Cardiovascular Research (DZHK), Partner Site: Munich Heart Alliance, Munich, Germany
| | - Stefan Kääb
- Department of Cardiology, University Hospital, LMU Munich, Munich, Germany.,German Centre for Cardiovascular Research (DZHK), Partner Site: Munich Heart Alliance, Munich, Germany
| | - Sabine Pankuweit
- Department of Cardiology, University Hospital Giessen and Marburg, Marburg, Germany
| | - Christiane Angermann
- Comprehensive Heart Failure Center, University Hospital and University of Würzburg, Würzburg, Germany
| | - Erich Bornberg-Bauer
- Institute for Evolution and Biodiversity, University of Münster, Münster, Germany
| | - Monika Stoll
- Department of Genetic Epidemiology, Institute of Human Genetics, University of Münster, Münster, Germany.,Department of Biochemistry, Genetic Epidemiology and Statistical Genetics, CARIM School for Cardiovascular Diseases, Maastricht Center for Systems Biology (MaCSBio), Maastricht University, Maastricht, The Netherlands
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18
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Oeyen JP, Baa-Puyoulet P, Benoit JB, Beukeboom LW, Bornberg-Bauer E, Buttstedt A, Calevro F, Cash EI, Chao H, Charles H, Chen MJM, Childers C, Cridge AG, Dearden P, Dinh H, Doddapaneni HV, Dolan A, Donath A, Dowling D, Dugan S, Duncan E, Elpidina EN, Friedrich M, Geuverink E, Gibson JD, Grath S, Grimmelikhuijzen CJP, Große-Wilde E, Gudobba C, Han Y, Hansson BS, Hauser F, Hughes DST, Ioannidis P, Jacquin-Joly E, Jennings EC, Jones JW, Klasberg S, Lee SL, Lesný P, Lovegrove M, Martin S, Martynov AG, Mayer C, Montagné N, Moris VC, Munoz-Torres M, Murali SC, Muzny DM, Oppert B, Parisot N, Pauli T, Peters RS, Petersen M, Pick C, Persyn E, Podsiadlowski L, Poelchau MF, Provataris P, Qu J, Reijnders MJMF, von Reumont BM, Rosendale AJ, Simao FA, Skelly J, Sotiropoulos AG, Stahl AL, Sumitani M, Szuter EM, Tidswell O, Tsitlakidis E, Vedder L, Waterhouse RM, Werren JH, Wilbrandt J, Worley KC, Yamamoto DS, van de Zande L, Zdobnov EM, Ziesmann T, Gibbs RA, Richards S, Hatakeyama M, Misof B, Niehuis O. Sawfly Genomes Reveal Evolutionary Acquisitions That Fostered the Mega-Radiation of Parasitoid and Eusocial Hymenoptera. Genome Biol Evol 2021; 12:1099-1188. [PMID: 32442304 PMCID: PMC7455281 DOI: 10.1093/gbe/evaa106] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/19/2020] [Indexed: 12/12/2022] Open
Abstract
The tremendous diversity of Hymenoptera is commonly attributed to the evolution of parasitoidism in the last common ancestor of parasitoid sawflies (Orussidae) and wasp-waisted Hymenoptera (Apocrita). However, Apocrita and Orussidae differ dramatically in their species richness, indicating that the diversification of Apocrita was promoted by additional traits. These traits have remained elusive due to a paucity of sawfly genome sequences, in particular those of parasitoid sawflies. Here, we present comparative analyses of draft genomes of the primarily phytophagous sawfly Athalia rosae and the parasitoid sawfly Orussus abietinus. Our analyses revealed that the ancestral hymenopteran genome exhibited traits that were previously considered unique to eusocial Apocrita (e.g., low transposable element content and activity) and a wider gene repertoire than previously thought (e.g., genes for CO2 detection). Moreover, we discovered that Apocrita evolved a significantly larger array of odorant receptors than sawflies, which could be relevant to the remarkable diversification of Apocrita by enabling efficient detection and reliable identification of hosts.
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Affiliation(s)
- Jan Philip Oeyen
- Center for Molecular Biodiversity Research, Zoologisches Forschungsmuseum Alexander Koenig, Bonn, Germany.,Lead Contact
| | | | | | - Leo W Beukeboom
- Groningen Institute for Evolutionary Life Sciences, University of Groningen, The Netherlands
| | | | - Anja Buttstedt
- B CUBE-Center for Molecular Bioengineering, Technische Universität Dresden, Germany
| | - Federica Calevro
- INSA-Lyon, INRAE, BF2I, UMR0203, Université de Lyon, Villeurbanne, France
| | - Elizabeth I Cash
- School of Life Sciences, College of Liberal Arts and Sciences, Arizona State University.,Department of Environmental Science, Policy, and Management, College of Natural Resources, University of California, Berkeley
| | - Hsu Chao
- Human Genome Sequencing Center, Department of Human and Molecular Genetics, Baylor College of Medicine, Houston, Texas
| | - Hubert Charles
- INSA-Lyon, INRAE, BF2I, UMR0203, Université de Lyon, Villeurbanne, France
| | - Mei-Ju May Chen
- Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan
| | | | - Andrew G Cridge
- Genomics Aotearoa and Biochemistry Department, University of Otago, Dunedin, New Zealand
| | - Peter Dearden
- Genomics Aotearoa and Biochemistry Department, University of Otago, Dunedin, New Zealand
| | - Huyen Dinh
- Human Genome Sequencing Center, Department of Human and Molecular Genetics, Baylor College of Medicine, Houston, Texas
| | - Harsha Vardhan Doddapaneni
- Human Genome Sequencing Center, Department of Human and Molecular Genetics, Baylor College of Medicine, Houston, Texas
| | | | - Alexander Donath
- Center for Molecular Biodiversity Research, Zoologisches Forschungsmuseum Alexander Koenig, Bonn, Germany
| | - Daniel Dowling
- Institute for Evolution and Biodiversity, University of Münster, Germany
| | - Shannon Dugan
- Human Genome Sequencing Center, Department of Human and Molecular Genetics, Baylor College of Medicine, Houston, Texas
| | - Elizabeth Duncan
- School of Biology, Faculty of Biological Sciences, University of Leeds, United Kingdom
| | - Elena N Elpidina
- A.N. Belozersky Institute of Physico-Chemical Biology, Moscow State University, Russia
| | - Markus Friedrich
- Department of Biological Sciences, Wayne State University, Detroit
| | - Elzemiek Geuverink
- Groningen Institute for Evolutionary Life Sciences, University of Groningen, The Netherlands
| | - Joshua D Gibson
- Department of Biology, Georgia Southern University, Statesboro.,Department of Entomology, Purdue University, West Lafayette
| | - Sonja Grath
- Division of Evolutionary Biology, Faculty of Biology, Ludwig-Maximilians-Universität München, Planegg-Martinsried, Germany
| | | | - Ewald Große-Wilde
- Department of Evolutionary Neuroethology, Max-Planck-Institute for Chemical Ecology, Jena, Germany.,Faculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague (CULS), Praha 6-Suchdol, Czech Republic
| | - Cameron Gudobba
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago
| | - Yi Han
- Human Genome Sequencing Center, Department of Human and Molecular Genetics, Baylor College of Medicine, Houston, Texas
| | - Bill S Hansson
- Department of Evolutionary Neuroethology, Max-Planck-Institute for Chemical Ecology, Jena, Germany
| | - Frank Hauser
- Department of Biology, University of Copenhagen, Denmark
| | - Daniel S T Hughes
- Human Genome Sequencing Center, Department of Human and Molecular Genetics, Baylor College of Medicine, Houston, Texas
| | - Panagiotis Ioannidis
- Department of Genetic Medicine and Development, University of Geneva Medical School, Switzerland.,Swiss Institute of Bioinformatics, Geneva, Switzerland.,Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology-Hellas, Heraklion, Crete, Greece
| | - Emmanuelle Jacquin-Joly
- INRAE, CNRS, IRD, UPEC, Univ. P7, Institute of Ecology and Environmental Sciences of Paris, Sorbonne Université, Versailles, France
| | | | - Jeffery W Jones
- Department of Biological Sciences, Oakland University, Rochester
| | - Steffen Klasberg
- Institute for Evolution and Biodiversity, University of Münster, Germany
| | - Sandra L Lee
- Human Genome Sequencing Center, Department of Human and Molecular Genetics, Baylor College of Medicine, Houston, Texas
| | - Peter Lesný
- Institute of Evolutionary Biology and Ecology, Zoology and Evolutionary Biology, University of Bonn, Germany
| | - Mackenzie Lovegrove
- Genomics Aotearoa and Biochemistry Department, University of Otago, Dunedin, New Zealand
| | - Sebastian Martin
- Institute of Evolutionary Biology and Ecology, Zoology and Evolutionary Biology, University of Bonn, Germany
| | | | - Christoph Mayer
- Center for Molecular Biodiversity Research, Zoologisches Forschungsmuseum Alexander Koenig, Bonn, Germany
| | - Nicolas Montagné
- INRAE, CNRS, IRD, UPEC, Univ. P7, Institute of Ecology and Environmental Sciences of Paris, Sorbonne Université, Paris, France
| | - Victoria C Moris
- Department of Evolutionary Biology and Ecology, Institute of Biology I (Zoology), Albert Ludwig University Freiburg, Germany
| | - Monica Munoz-Torres
- Berkeley Bioinformatics Open-source Projects (BBOP), Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, California
| | - Shwetha Canchi Murali
- Human Genome Sequencing Center, Department of Human and Molecular Genetics, Baylor College of Medicine, Houston, Texas
| | - Donna M Muzny
- Human Genome Sequencing Center, Department of Human and Molecular Genetics, Baylor College of Medicine, Houston, Texas
| | - Brenda Oppert
- USDA Agricultural Research Service, Center for Grain and Animal Health Research, Manhattan, Kansas
| | - Nicolas Parisot
- INSA-Lyon, INRAE, BF2I, UMR0203, Université de Lyon, Villeurbanne, France
| | - Thomas Pauli
- Department of Evolutionary Biology and Ecology, Institute of Biology I (Zoology), Albert Ludwig University Freiburg, Germany
| | - Ralph S Peters
- Arthropoda Department, Center for Taxonomy and Evolutionary Research, Zoologisches Forschungsmuseum Alexander Koenig, Bonn, Germany
| | - Malte Petersen
- Center for Molecular Biodiversity Research, Zoologisches Forschungsmuseum Alexander Koenig, Bonn, Germany.,Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany
| | | | - Emma Persyn
- INRAE, CNRS, IRD, UPEC, Univ. P7, Institute of Ecology and Environmental Sciences of Paris, Sorbonne Université, Paris, France
| | - Lars Podsiadlowski
- Center for Molecular Biodiversity Research, Zoologisches Forschungsmuseum Alexander Koenig, Bonn, Germany
| | | | - Panagiotis Provataris
- Center for Molecular Biodiversity Research, Zoologisches Forschungsmuseum Alexander Koenig, Bonn, Germany
| | - Jiaxin Qu
- Human Genome Sequencing Center, Department of Human and Molecular Genetics, Baylor College of Medicine, Houston, Texas
| | - Maarten J M F Reijnders
- Department of Ecology and Evolution, University of Lausanne, Switzerland.,Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Björn Marcus von Reumont
- Institute for Insect Biotechnology, University of Gießen, Germany.,Center for Translational Biodiversity Genomics (LOEWE-TBG), Frankfurt, Germany
| | | | - Felipe A Simao
- Department of Genetic Medicine and Development, University of Geneva Medical School, Switzerland.,Swiss Institute of Bioinformatics, Geneva, Switzerland
| | - John Skelly
- Genomics Aotearoa and Biochemistry Department, University of Otago, Dunedin, New Zealand
| | | | - Aaron L Stahl
- Department of Biological Sciences, University of Cincinnati.,Department of Neuroscience, The Scripps Research Institute, Jupiter, Florida
| | - Megumi Sumitani
- Transgenic Silkworm Research Unit, Division of Biotechnology, Institute of Agrobiological Sciences, National Agriculture and Food Research Organization (NARO), Owashi, Tsukuba, Japan
| | - Elise M Szuter
- School of Life Sciences, College of Liberal Arts and Sciences, Arizona State University
| | - Olivia Tidswell
- Biochemistry Department, University of Otago, Dunedin, New Zealand.,Zoology Department, University of Cambridge, United Kingdom
| | | | - Lucia Vedder
- Center for Bioinformatics Tübingen (ZBIT), University of Tübingen, Germany
| | - Robert M Waterhouse
- Department of Ecology and Evolution, University of Lausanne, Switzerland.,Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | | | - Jeanne Wilbrandt
- Center for Molecular Biodiversity Research, Zoologisches Forschungsmuseum Alexander Koenig, Bonn, Germany.,Computational Biology Group, Leibniz Institute on Aging-Fritz Lipmann Institute, Jena, Germany
| | - Kim C Worley
- Human Genome Sequencing Center, Department of Human and Molecular Genetics, Baylor College of Medicine, Houston, Texas
| | - Daisuke S Yamamoto
- Division of Medical Zoology, Department of Infection and Immunity, Jichi Medical University, Yakushiji, Shimotsuke, Japan
| | - Louis van de Zande
- Groningen Institute for Evolutionary Life Sciences, University of Groningen, The Netherlands
| | - Evgeny M Zdobnov
- Department of Genetic Medicine and Development, University of Geneva Medical School, Switzerland.,Swiss Institute of Bioinformatics, Geneva, Switzerland
| | - Tanja Ziesmann
- Center for Molecular Biodiversity Research, Zoologisches Forschungsmuseum Alexander Koenig, Bonn, Germany
| | - Richard A Gibbs
- Human Genome Sequencing Center, Department of Human and Molecular Genetics, Baylor College of Medicine, Houston, Texas
| | - Stephen Richards
- Human Genome Sequencing Center, Department of Human and Molecular Genetics, Baylor College of Medicine, Houston, Texas
| | - Masatsugu Hatakeyama
- Insect Genome Research and Engineering Unit, Division of Applied Genetics, Institute of Agrobiological Sciences, NARO, Owashi, Tsukuba, Japan
| | - Bernhard Misof
- Center for Molecular Biodiversity Research, Zoologisches Forschungsmuseum Alexander Koenig, Bonn, Germany
| | - Oliver Niehuis
- Department of Evolutionary Biology and Ecology, Institute of Biology I (Zoology), Albert Ludwig University Freiburg, Germany
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19
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Harrison MC, Niño LMJ, Rodrigues MA, Ryll J, Flatt T, Oettler J, Bornberg-Bauer E. Gene Coexpression Network Reveals Highly Conserved, Well-Regulated Anti-Ageing Mechanisms in Old Ant Queens. Genome Biol Evol 2021; 13:6263858. [PMID: 33944936 PMCID: PMC8214412 DOI: 10.1093/gbe/evab093] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/23/2021] [Indexed: 12/11/2022] Open
Abstract
Evolutionary theories of ageing predict a reduction in selection efficiency with age, a so-called “selection shadow,” due to extrinsic mortality decreasing effective population size with age. Classic symptoms of ageing include a deterioration in transcriptional regulation and protein homeostasis. Understanding how ant queens defy the trade-off between fecundity and lifespan remains a major challenge for the evolutionary theory of ageing. It has often been discussed that the low extrinsic mortality of ant queens, that are generally well protected within the nest by workers and soldiers, should reduce the selection shadow acting on old queens. We tested this by comparing strength of selection acting on genes upregulated in young and old queens of the ant, Cardiocondyla obscurior. In support of a reduced selection shadow, we find old-biased genes to be under strong purifying selection. We also analyzed a gene coexpression network (GCN) with the aim to detect signs of ageing in the form of deteriorating regulation and proteostasis. We find no evidence for ageing. In fact, we detect higher connectivity in old queens indicating increased transcriptional regulation with age. Within the GCN, we discover five highly correlated modules that are upregulated with age. These old-biased modules regulate several antiageing mechanisms such as maintenance of proteostasis, transcriptional regulation, and stress response. We observe stronger purifying selection on central hub genes of these old-biased modules compared with young-biased modules. These results indicate a lack of transcriptional ageing in old C. obscurior queens, possibly facilitated by strong selection at old age and well-regulated antiageing mechanisms.
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Affiliation(s)
- Mark C Harrison
- Institute for Evolution and Biodiversity, University of Münster, Germany
| | | | | | - Judith Ryll
- Institute for Evolution and Biodiversity, University of Münster, Germany
| | - Thomas Flatt
- Department of Biology, University of Fribourg, Switzerland
| | - Jan Oettler
- Institut für Zoologie/Evolutionsbiologie, University of Regensburg, Germany
| | - Erich Bornberg-Bauer
- Department of Biology, University of Fribourg, Switzerland.,Department of Protein Evolution, Max Planck Institute for Developmental Biology, Tübingen, Germany
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20
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Lange A, Patel PH, Heames B, Damry AM, Saenger T, Jackson CJ, Findlay GD, Bornberg-Bauer E. Structural and functional characterization of a putative de novo gene in Drosophila. Nat Commun 2021; 12:1667. [PMID: 33712569 PMCID: PMC7954818 DOI: 10.1038/s41467-021-21667-6] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2020] [Accepted: 02/03/2021] [Indexed: 11/26/2022] Open
Abstract
Comparative genomic studies have repeatedly shown that new protein-coding genes can emerge de novo from noncoding DNA. Still unknown is how and when the structures of encoded de novo proteins emerge and evolve. Combining biochemical, genetic and evolutionary analyses, we elucidate the function and structure of goddard, a gene which appears to have evolved de novo at least 50 million years ago within the Drosophila genus. Previous studies found that goddard is required for male fertility. Here, we show that Goddard protein localizes to elongating sperm axonemes and that in its absence, elongated spermatids fail to undergo individualization. Combining modelling, NMR and circular dichroism (CD) data, we show that Goddard protein contains a large central α-helix, but is otherwise partially disordered. We find similar results for Goddard's orthologs from divergent fly species and their reconstructed ancestral sequences. Accordingly, Goddard's structure appears to have been maintained with only minor changes over millions of years.
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Affiliation(s)
- Andreas Lange
- Institute for Evolution and Biodiversity, University of Münster, Münster, Germany
| | - Prajal H Patel
- Department of Biology, College of the Holy Cross, Worcester, MA, USA
| | - Brennen Heames
- Institute for Evolution and Biodiversity, University of Münster, Münster, Germany
| | - Adam M Damry
- Research School of Chemistry, ANU College of Science, Canberra, Australia
| | - Thorsten Saenger
- Department of Pediatric Kidney, Liver and Metabolic Diseases, Hannover Medical School, Hannover, Germany
| | - Colin J Jackson
- Research School of Chemistry, ANU College of Science, Canberra, Australia
| | | | - Erich Bornberg-Bauer
- Institute for Evolution and Biodiversity, University of Münster, Münster, Germany.
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21
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Scharsack JP, Wieczorek B, Schmidt-Drewello A, Büscher J, Franke F, Moore A, Branca A, Witten A, Stoll M, Bornberg-Bauer E, Wicke S, Kurtz J. Climate change facilitates a parasite's host exploitation via temperature-mediated immunometabolic processes. Glob Chang Biol 2021; 27:94-107. [PMID: 33067869 DOI: 10.1111/gcb.15402] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Revised: 10/07/2020] [Accepted: 10/10/2020] [Indexed: 05/09/2023]
Abstract
Global climate change can influence organismic interactions like those between hosts and parasites. Rising temperatures may exacerbate the exploitation of hosts by parasites, especially in ectothermic systems. The metabolic activity of ectotherms is strongly linked to temperature and generally increases when temperatures rise. We hypothesized that temperature change in combination with parasite infection interferes with the host's immunometabolism. We used a parasite, the avian cestode Schistocephalus solidus, which taps most of its resources from the metabolism of an ectothermic intermediate host, the three-spined stickleback. We experimentally exposed sticklebacks to this parasite, and studied liver transcriptomes 50 days after infection at 13°C and 24°C, to assess their immunometabolic responses. Furthermore, we monitored fitness parameters of the parasite and examined immunity and body condition of the sticklebacks at 13°C, 18°C and 24°C after 36, 50 and 64 days of infection. At low temperatures (13°C), S. solidus growth was constrained, presumably also by the more active stickleback's immune system, thus delaying its infectivity for the final host to 64 days. Warmer temperature (18°C and 24°C) enhanced S. solidus growth, and it became infective to the final host already after 36 days. Overall, S. solidus produced many more viable offspring after development at elevated temperatures. In contrast, stickleback hosts had lower body conditions, and their immune system was less active at warm temperature. The stickleback's liver transcriptome revealed that mainly metabolic processes were differentially regulated between temperatures, whereas immune genes were not strongly affected. Temperature effects on gene expression were strongly enhanced in infected sticklebacks, and even in exposed-but-not-infected hosts. These data suggest that the parasite exposure in concert with rising temperature, as to be expected with global climate change, shifted the host's immunometabolism, thus providing nutrients for the enormous growth of the parasite and, at the same time suppressing immune defence.
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Affiliation(s)
- Jörn P Scharsack
- Institute for Evolution and Biodiversity, Animal Evolutionary Ecology, University of Münster, Münster, Germany
| | - Bartholomäus Wieczorek
- Institute for Evolution and Biodiversity, Animal Evolutionary Ecology, University of Münster, Münster, Germany
| | - Alexander Schmidt-Drewello
- Institute for Evolution and Biodiversity, Animal Evolutionary Ecology, University of Münster, Münster, Germany
- Institute for Evolution and Biodiversity, Limnology, University of Münster, Münster, Germany
| | - Janine Büscher
- Institute for Evolution and Biodiversity, Animal Evolutionary Ecology, University of Münster, Münster, Germany
| | - Frederik Franke
- Institute for Evolution and Biodiversity, Animal Evolutionary Ecology, University of Münster, Münster, Germany
| | - Andrew Moore
- Institute for Evolution and Biodiversity, Molecular Evolution & Bioinformatics, University of Münster, Münster, Germany
| | - Antoine Branca
- Institute for Evolution and Biodiversity, Molecular Evolution & Bioinformatics, University of Münster, Münster, Germany
| | - Anika Witten
- Institute for Human Genetics, Core Facility Genomics, University of Münster, Münster, Germany
| | - Monika Stoll
- Institute for Human Genetics, Core Facility Genomics, University of Münster, Münster, Germany
| | - Erich Bornberg-Bauer
- Institute for Evolution and Biodiversity, Molecular Evolution & Bioinformatics, University of Münster, Münster, Germany
| | - Susann Wicke
- Institute for Evolution and Biodiversity, Plant Evolutionary Genomics, University of Münster, Münster, Germany
- Institute for Biology, Humboldt-University Berlin, Berlin, Germany
| | - Joachim Kurtz
- Institute for Evolution and Biodiversity, Animal Evolutionary Ecology, University of Münster, Münster, Germany
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22
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Abstract
In addition to known genes, much of the human genome is transcribed into RNA. Chance formation of novel open reading frames (ORFs) can lead to the translation of myriad new proteins. Some of these ORFs may yield advantageous adaptive de novo proteins. However, widespread translation of noncoding DNA can also produce hazardous protein molecules, which can misfold and/or form toxic aggregates. The dynamics of how de novo proteins emerge from potentially toxic raw materials and what influences their long-term survival are unknown. Here, using transcriptomic data from human and five other primates, we generate a set of transcribed human ORFs at six conservation levels to investigate which properties influence the early emergence and long-term retention of these expressed ORFs. As these taxa diverged from each other relatively recently, we present a fine scale view of the evolution of novel sequences over recent evolutionary time. We find that novel human-restricted ORFs are preferentially located on GC-rich gene-dense chromosomes, suggesting their retention is linked to pre-existing genes. Sequence properties such as intrinsic structural disorder and aggregation propensity-which have been proposed to play a role in survival of de novo genes-remain unchanged over time. Even very young sequences code for proteins with low aggregation propensities, suggesting that genomic regions with many novel transcribed ORFs are concomitantly less likely to produce ORFs which code for harmful toxic proteins. Our data indicate that the survival of these novel ORFs is largely stochastic rather than shaped by selection.
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Affiliation(s)
- Daniel Dowling
- Institute for Evolution and Biodiversity, University of Münster, Germany
| | - Jonathan F Schmitz
- Institute for Evolution and Biodiversity, University of Münster, Germany
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23
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Yang G, Anderson DW, Baier F, Dohmen E, Hong N, Carr PD, Kamerlin SCL, Jackson CJ, Bornberg-Bauer E, Tokuriki N. Author Correction: Higher-order epistasis shapes the fitness landscape of a xenobiotic-degrading enzyme. Nat Chem Biol 2020; 16:930. [PMID: 32533134 DOI: 10.1038/s41589-020-0588-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
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Affiliation(s)
- Gloria Yang
- Michael Smith Laboratories, University of British Columbia, Vancouver, British Columbia, Canada
| | - Dave W Anderson
- Michael Smith Laboratories, University of British Columbia, Vancouver, British Columbia, Canada.,Biochemistry and Molecular Biology, University of Calgary, Calgary, AB, Canada
| | - Florian Baier
- Michael Smith Laboratories, University of British Columbia, Vancouver, British Columbia, Canada
| | - Elias Dohmen
- Institute for Evolution and Biodiversity, Evolutionary Bioinformatics, Westfälische Wilhelms University, Münster, Germany
| | - Nansook Hong
- Research School of Chemistry, Australian National University, Canberra, Australian Capital Territory, Australia
| | - Paul D Carr
- Research School of Chemistry, Australian National University, Canberra, Australian Capital Territory, Australia
| | | | - Colin J Jackson
- Research School of Chemistry, Australian National University, Canberra, Australian Capital Territory, Australia
| | - Erich Bornberg-Bauer
- Institute for Evolution and Biodiversity, Evolutionary Bioinformatics, Westfälische Wilhelms University, Münster, Germany
| | - Nobuhiko Tokuriki
- Michael Smith Laboratories, University of British Columbia, Vancouver, British Columbia, Canada.
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24
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Kemena C, Dohmen E, Bornberg-Bauer E. DOGMA: a web server for proteome and transcriptome quality assessment. Nucleic Acids Res 2020; 47:W507-W510. [PMID: 31076763 PMCID: PMC6602495 DOI: 10.1093/nar/gkz366] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2019] [Revised: 04/18/2019] [Accepted: 04/29/2019] [Indexed: 11/16/2022] Open
Abstract
Even in the era of next generation sequencing, in which bioinformatics tools abound, annotating transcriptomes and proteomes remains a challenge. This can have major implications for the reliability of studies based on these datasets. Therefore, quality assessment represents a crucial step prior to downstream analyses on novel transcriptomes and proteomes. DOGMA allows such a quality assessment to be carried out. The data of interest are evaluated based on a comparison with a core set of conserved protein domains and domain arrangements. Depending on the studied species, DOGMA offers precomputed core sets for different phylogenetic clades. We now developed a web server for the DOGMA software, offering a user-friendly, simple to use interface. Additionally, the server provides a graphical representation of the analysis results and their placement in comparison to publicly available data. The server is freely available under https://domainworld-services.uni-muenster.de/dogma/. Additionally, for large scale analyses the software can be downloaded free of charge from https://domainworld.uni-muenster.de.
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Affiliation(s)
- Carsten Kemena
- Institute for Evolution and Biodiversity, Westfälische Wilhelms-Universität Münster, Hüfferstrasse 1, NRW, 48149 Münster, Germany
| | - Elias Dohmen
- Institute for Evolution and Biodiversity, Westfälische Wilhelms-Universität Münster, Hüfferstrasse 1, NRW, 48149 Münster, Germany
| | - Erich Bornberg-Bauer
- Institute for Evolution and Biodiversity, Westfälische Wilhelms-Universität Münster, Hüfferstrasse 1, NRW, 48149 Münster, Germany
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25
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Heames B, Schmitz J, Bornberg-Bauer E. A Continuum of Evolving De Novo Genes Drives Protein-Coding Novelty in Drosophila. J Mol Evol 2020; 88:382-398. [PMID: 32253450 PMCID: PMC7162840 DOI: 10.1007/s00239-020-09939-z] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2019] [Accepted: 03/13/2020] [Indexed: 12/13/2022]
Abstract
Orphan genes, lacking detectable homologs in outgroup species, typically represent 10-30% of eukaryotic genomes. Efforts to find the source of these young genes indicate that de novo emergence from non-coding DNA may in part explain their prevalence. Here, we investigate the roots of orphan gene emergence in the Drosophila genus. Across the annotated proteomes of twelve species, we find 6297 orphan genes within 4953 taxon-specific clusters of orthologs. By inferring the ancestral DNA as non-coding for between 550 and 2467 (8.7-39.2%) of these genes, we describe for the first time how de novo emergence contributes to the abundance of clade-specific Drosophila genes. In support of them having functional roles, we show that de novo genes have robust expression and translational support. However, the distinct nucleotide sequences of de novo genes, which have characteristics intermediate between intergenic regions and conserved genes, reflect their recent birth from non-coding DNA. We find that de novo genes encode more disordered proteins than both older genes and intergenic regions. Together, our results suggest that gene emergence from non-coding DNA provides an abundant source of material for the evolution of new proteins. Following gene birth, gradual evolution over large evolutionary timescales moulds sequence properties towards those of conserved genes, resulting in a continuum of properties whose starting points depend on the nucleotide sequences of an initial pool of novel genes.
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Affiliation(s)
- Brennen Heames
- Institute for Evolution and Biodiversity, 48149, Münster, Germany
| | - Jonathan Schmitz
- Institute for Evolution and Biodiversity, 48149, Münster, Germany
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26
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Huang Y, Feulner PGD, Eizaguirre C, Lenz TL, Bornberg-Bauer E, Milinski M, Reusch TBH, Chain FJJ. Genome-Wide Genotype-Expression Relationships Reveal Both Copy Number and Single Nucleotide Differentiation Contribute to Differential Gene Expression between Stickleback Ecotypes. Genome Biol Evol 2020; 11:2344-2359. [PMID: 31298693 PMCID: PMC6735750 DOI: 10.1093/gbe/evz148] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/10/2019] [Indexed: 12/11/2022] Open
Abstract
Repeated and independent emergence of trait divergence that matches habitat differences is a sign of parallel evolution by natural selection. Yet, the molecular underpinnings that are targeted by adaptive evolution often remain elusive. We investigate this question by combining genome-wide analyses of copy number variants (CNVs), single nucleotide polymorphisms (SNPs), and gene expression across four pairs of lake and river populations of the three-spined stickleback (Gasterosteus aculeatus). We tested whether CNVs that span entire genes and SNPs occurring in putative cis-regulatory regions contribute to gene expression differences between sticklebacks from lake and river origins. We found 135 gene CNVs that showed a significant positive association between gene copy number and gene expression, suggesting that CNVs result in dosage effects that can fuel phenotypic variation and serve as substrates for habitat-specific selection. Copy number differentiation between lake and river sticklebacks also contributed to expression differences of two immune-related genes in immune tissues, cathepsin A and GIMAP7. In addition, we identified SNPs in cis-regulatory regions (eSNPs) associated with the expression of 1,865 genes, including one eSNP upstream of a carboxypeptidase gene where both the SNP alleles differentiated and the gene was differentially expressed between lake and river populations. Our study highlights two types of mutations as important sources of genetic variation involved in the evolution of gene expression and in potentially facilitating repeated adaptation to novel environments.
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Affiliation(s)
- Yun Huang
- Department of Evolutionary Ecology, Max Planck Institute for Evolutionary Biology, Plön, Germany.,Biodiversity Research Center, Academia Sinica, Taipei, Taiwan, ROC
| | - Philine G D Feulner
- Department of Fish Ecology and Evolution, Centre of Ecology, Evolution and Biogeochemistry, EAWAG Swiss Federal Institute of Aquatic Science and Technology, Kastanienbaum, Switzerland.,Division of Aquatic Ecology and Evolution, Institute of Ecology and Evolution, University of Bern, Switzerland
| | - Christophe Eizaguirre
- School of Biological and Chemical Sciences, Queen Mary University of London, United Kingdom
| | - Tobias L Lenz
- Department of Evolutionary Ecology, Max Planck Institute for Evolutionary Biology, Plön, Germany
| | - Erich Bornberg-Bauer
- Evolutionary Bioinformatics, Institute for Evolution and Biodiversity, Westfälische Wilhelms University, Münster, Germany
| | - Manfred Milinski
- Department of Evolutionary Ecology, Max Planck Institute for Evolutionary Biology, Plön, Germany
| | - Thorsten B H Reusch
- Marine Evolutionary Ecology, GEOMAR Helmholtz Centre for Ocean Research Kiel, Germany
| | - Frédéric J J Chain
- Department of Biological Sciences, University of Massachusetts Lowell, USA
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27
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Hartke J, Schell T, Jongepier E, Schmidt H, Sprenger PP, Paule J, Bornberg-Bauer E, Schmitt T, Menzel F, Pfenninger M, Feldmeyer B. Hybrid Genome Assembly of a Neotropical Mutualistic Ant. Genome Biol Evol 2020; 11:2306-2311. [PMID: 31329228 PMCID: PMC6735702 DOI: 10.1093/gbe/evz159] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/16/2019] [Indexed: 01/13/2023] Open
Abstract
The success of social insects is largely intertwined with their highly advanced chemical communication system that facilitates recognition and discrimination of species and nest-mates, recruitment, and division of labor. Hydrocarbons, which cover the cuticle of insects, not only serve as waterproofing agents but also constitute a major component of this communication system. Two cryptic Crematogaster species, which share their nest with Camponotus ants, show striking diversity in their cuticular hydrocarbon (CHC) profile. This mutualistic system therefore offers a great opportunity to study the genetic basis of CHC divergence between sister species. As a basis for further genome-wide studies high-quality genomes are needed. Here, we present the annotated draft genome for Crematogaster levior A. By combining the three most commonly used sequencing techniques—Illumina, PacBio, and Oxford Nanopore—we constructed a high-quality de novo ant genome. We show that even low coverage of long reads can add significantly to overall genome contiguity. Annotation of desaturase and elongase genes, which play a role in CHC biosynthesis revealed one of the largest repertoires in ants and a higher number of desaturases in general than in other Hymenoptera. This may provide a mechanistic explanation for the high diversity observed in C. levior CHC profiles.
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Affiliation(s)
- Juliane Hartke
- Senckenberg Biodiversity and Climate Research Centre, Frankfurt am Main, Germany.,Institute of Organismic and Molecular Evolution (iOME), Johannes Gutenberg University, Mainz, Germany
| | - Tilman Schell
- LOEWE Centre for Translational Biodiversity Genomics (LOEWE-TBG), Frankfurt am Main, Germany
| | - Evelien Jongepier
- Molecular Evolution and Bioinformatics Group, Institute for Evolution and Biodiversity, Westfälische Wilhelms-Universität, Münster, Germany
| | - Hanno Schmidt
- Vector Genetics Laboratory, Department of Pathology, Microbiology and Immunology, School of Veterinary Medicine, University of California, Davis
| | - Philipp P Sprenger
- Institute of Organismic and Molecular Evolution (iOME), Johannes Gutenberg University, Mainz, Germany.,Department of Animal Ecology and Tropical Biology, University of Würzburg, Biocentre - Am Hubland, Germany
| | - Juraj Paule
- Department of Botany and Molecular Evolution, Senckenberg Research Institute and Natural History Museum, Frankfurt am Main, Germany
| | - Erich Bornberg-Bauer
- Molecular Evolution and Bioinformatics Group, Institute for Evolution and Biodiversity, Westfälische Wilhelms-Universität, Münster, Germany
| | - Thomas Schmitt
- Department of Animal Ecology and Tropical Biology, University of Würzburg, Biocentre - Am Hubland, Germany
| | - Florian Menzel
- Institute of Organismic and Molecular Evolution (iOME), Johannes Gutenberg University, Mainz, Germany
| | - Markus Pfenninger
- Senckenberg Biodiversity and Climate Research Centre, Frankfurt am Main, Germany.,Institute of Organismic and Molecular Evolution (iOME), Johannes Gutenberg University, Mainz, Germany.,LOEWE Centre for Translational Biodiversity Genomics (LOEWE-TBG), Frankfurt am Main, Germany
| | - Barbara Feldmeyer
- Senckenberg Biodiversity and Climate Research Centre, Frankfurt am Main, Germany
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28
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Kaur R, Stoldt M, Jongepier E, Feldmeyer B, Menzel F, Bornberg-Bauer E, Foitzik S. Ant behaviour and brain gene expression of defending hosts depend on the ecological success of the intruding social parasite. Philos Trans R Soc Lond B Biol Sci 2020; 374:20180192. [PMID: 30967075 DOI: 10.1098/rstb.2018.0192] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
The geographical mosaic theory of coevolution predicts that species interactions vary between locales. Depending on who leads the coevolutionary arms race, the effectivity of parasite attack or host defence strategies will explain parasite prevalence. Here, we compare behaviour and brain transcriptomes of Temnothorax longispinosus ant workers when defending their nest against an invading social parasite, the slavemaking ant Temnothorax americanus. A full-factorial design allowed us to test whether behaviour and gene expression are linked to parasite pressure on host populations or to the ecological success of parasite populations. Albeit host defences had been shown before to covary with local parasite pressure, we found parasite success to be much more important. Our chemical and behavioural analyses revealed that parasites from high prevalence sites carry lower concentrations of recognition cues and are less often attacked by hosts. This link was further supported by gene expression analysis. Our study reveals that host-parasite interactions are strongly influenced by social parasite strategies, so that variation in parasite prevalence is determined by parasite traits rather than the efficacy of host defence. Gene functions associated with parasite success indicated strong neuronal responses in hosts, including long-term changes in gene regulation, indicating an enduring impact of parasites on host behaviour. This article is part of the theme issue 'The coevolutionary biology of brood parasitism: from mechanism to pattern'.
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Affiliation(s)
- Rajbir Kaur
- 1 Institute of Organismic and Molecular Evolution, Johannes Gutenberg University , Mainz , Germany
| | - Marah Stoldt
- 1 Institute of Organismic and Molecular Evolution, Johannes Gutenberg University , Mainz , Germany
| | - Evelien Jongepier
- 2 Molecular Evolution and Bioinformatics Group, Institute for Evolution and Biodiversity, Westfälische Wilhelms-Universität , Münster , Germany
| | - Barbara Feldmeyer
- 3 Senckenberg Biodiversity and Climate Research Centre, Senckenberg Gesellschaft für Naturforschung , Senckenberganlage 25, 60325 Frankfurt am Main , Germany
| | - Florian Menzel
- 1 Institute of Organismic and Molecular Evolution, Johannes Gutenberg University , Mainz , Germany
| | - Erich Bornberg-Bauer
- 2 Molecular Evolution and Bioinformatics Group, Institute for Evolution and Biodiversity, Westfälische Wilhelms-Universität , Münster , Germany
| | - Susanne Foitzik
- 1 Institute of Organismic and Molecular Evolution, Johannes Gutenberg University , Mainz , Germany
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29
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Dohmen E, Klasberg S, Bornberg-Bauer E, Perrey S, Kemena C. The modular nature of protein evolution: domain rearrangement rates across eukaryotic life. BMC Evol Biol 2020; 20:30. [PMID: 32059645 PMCID: PMC7023805 DOI: 10.1186/s12862-020-1591-0] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2019] [Accepted: 01/31/2020] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Modularity is important for evolutionary innovation. The recombination of existing units to form larger complexes with new functionalities spares the need to create novel elements from scratch. In proteins, this principle can be observed at the level of protein domains, functional subunits which are regularly rearranged to acquire new functions. RESULTS In this study we analyse the mechanisms leading to new domain arrangements in five major eukaryotic clades (vertebrates, insects, fungi, monocots and eudicots) at unprecedented depth and breadth. This allows, for the first time, to directly compare rates of rearrangements between different clades and identify both lineage specific and general patterns of evolution in the context of domain rearrangements. We analyse arrangement changes along phylogenetic trees by reconstructing ancestral domain content in combination with feasible single step events, such as fusion or fission. Using this approach we explain up to 70% of all rearrangements by tracing them back to their precursors. We find that rates in general and the ratio between these rates for a given clade in particular, are highly consistent across all clades. In agreement with previous studies, fusions are the most frequent event leading to new domain arrangements. A lineage specific pattern in fungi reveals exceptionally high loss rates compared to other clades, supporting recent studies highlighting the importance of loss for evolutionary innovation. Furthermore, our methodology allows us to link domain emergences at specific nodes in the phylogenetic tree to important functional developments, such as the origin of hair in mammals. CONCLUSIONS Our results demonstrate that domain rearrangements are based on a canonical set of mutational events with rates which lie within a relatively narrow and consistent range. In addition, gained knowledge about these rates provides a basis for advanced domain-based methodologies for phylogenetics and homology analysis which complement current sequence-based methods.
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Affiliation(s)
- Elias Dohmen
- Institute for Evolution and Biodiversity, University of Münster, Hüfferstrasse 1, Münster, 48149, Germany.,Institute for Bioinformatics and Chemoinformatics, Westphalian University of Applied Sciences, August-Schmidt-Ring 10, Recklinghausen, 45665, Germany
| | - Steffen Klasberg
- Institute for Evolution and Biodiversity, University of Münster, Hüfferstrasse 1, Münster, 48149, Germany
| | - Erich Bornberg-Bauer
- Institute for Evolution and Biodiversity, University of Münster, Hüfferstrasse 1, Münster, 48149, Germany
| | - Sören Perrey
- Institute for Bioinformatics and Chemoinformatics, Westphalian University of Applied Sciences, August-Schmidt-Ring 10, Recklinghausen, 45665, Germany
| | - Carsten Kemena
- Institute for Evolution and Biodiversity, University of Münster, Hüfferstrasse 1, Münster, 48149, Germany.
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30
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Thomas GWC, Dohmen E, Hughes DST, Murali SC, Poelchau M, Glastad K, Anstead CA, Ayoub NA, Batterham P, Bellair M, Binford GJ, Chao H, Chen YH, Childers C, Dinh H, Doddapaneni HV, Duan JJ, Dugan S, Esposito LA, Friedrich M, Garb J, Gasser RB, Goodisman MAD, Gundersen-Rindal DE, Han Y, Handler AM, Hatakeyama M, Hering L, Hunter WB, Ioannidis P, Jayaseelan JC, Kalra D, Khila A, Korhonen PK, Lee CE, Lee SL, Li Y, Lindsey ARI, Mayer G, McGregor AP, McKenna DD, Misof B, Munidasa M, Munoz-Torres M, Muzny DM, Niehuis O, Osuji-Lacy N, Palli SR, Panfilio KA, Pechmann M, Perry T, Peters RS, Poynton HC, Prpic NM, Qu J, Rotenberg D, Schal C, Schoville SD, Scully ED, Skinner E, Sloan DB, Stouthamer R, Strand MR, Szucsich NU, Wijeratne A, Young ND, Zattara EE, Benoit JB, Zdobnov EM, Pfrender ME, Hackett KJ, Werren JH, Worley KC, Gibbs RA, Chipman AD, Waterhouse RM, Bornberg-Bauer E, Hahn MW, Richards S. Gene content evolution in the arthropods. Genome Biol 2020; 21:15. [PMID: 31969194 PMCID: PMC6977273 DOI: 10.1186/s13059-019-1925-7] [Citation(s) in RCA: 100] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Accepted: 12/26/2019] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND Arthropods comprise the largest and most diverse phylum on Earth and play vital roles in nearly every ecosystem. Their diversity stems in part from variations on a conserved body plan, resulting from and recorded in adaptive changes in the genome. Dissection of the genomic record of sequence change enables broad questions regarding genome evolution to be addressed, even across hyper-diverse taxa within arthropods. RESULTS Using 76 whole genome sequences representing 21 orders spanning more than 500 million years of arthropod evolution, we document changes in gene and protein domain content and provide temporal and phylogenetic context for interpreting these innovations. We identify many novel gene families that arose early in the evolution of arthropods and during the diversification of insects into modern orders. We reveal unexpected variation in patterns of DNA methylation across arthropods and examples of gene family and protein domain evolution coincident with the appearance of notable phenotypic and physiological adaptations such as flight, metamorphosis, sociality, and chemoperception. CONCLUSIONS These analyses demonstrate how large-scale comparative genomics can provide broad new insights into the genotype to phenotype map and generate testable hypotheses about the evolution of animal diversity.
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Affiliation(s)
- Gregg W. C. Thomas
- 0000 0001 0790 959Xgrid.411377.7Department of Biology and Department of Computer Science, Indiana University, Bloomington, IN USA
| | - Elias Dohmen
- Institute for Evolution and Biodiversity, University of Münsterss, 48149 Münster, Germany ,0000 0001 2287 2617grid.9026.dInstitute for Bioinformatics and Chemoinformatics, University of Hamburg, Hamburg, Germany ,Westphalian University of Applied Sciences, 45665 Recklinghausen, Germany
| | - Daniel S. T. Hughes
- 0000 0001 2160 926Xgrid.39382.33Human Genome Sequencing Center, Department of Human and Molecular Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030 USA ,0000000419368729grid.21729.3fPresent Address: Institute for Genomic Medicine, Columbia University, New York, NY 10032 USA
| | - Shwetha C. Murali
- 0000 0001 2160 926Xgrid.39382.33Human Genome Sequencing Center, Department of Human and Molecular Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030 USA ,0000000122986657grid.34477.33Present Address: Howard Hughes Medical Institute, Department of Genome Sciences, University of Washington, Seattle, WA 98195 USA
| | - Monica Poelchau
- 0000 0001 2113 2895grid.483014.aNational Agricultural Library, USDA, Beltsville, MD 20705 USA
| | - Karl Glastad
- 0000 0001 2097 4943grid.213917.fSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332 USA ,0000 0004 1936 8972grid.25879.31Present Address: Penn Epigenetics Institute, Department of Cell and Developmental Biology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104 USA
| | - Clare A. Anstead
- 0000 0001 2179 088Xgrid.1008.9Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Parkville, VIC 3010 Australia
| | - Nadia A. Ayoub
- grid.268042.aDepartment of Biology, Washington and Lee University, 204 West Washington Street, Lexington, VA 24450 USA
| | - Phillip Batterham
- 0000 0001 2179 088Xgrid.1008.9School of BioSciences Science Faculty, The University of Melbourne, Melbourne, VIC 3010 Australia
| | - Michelle Bellair
- 0000 0001 2160 926Xgrid.39382.33Human Genome Sequencing Center, Department of Human and Molecular Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030 USA ,Present Address: CooperGenomics, Houston, TX USA
| | - Greta J. Binford
- 0000 0004 1936 9043grid.259053.8Department of Biology, Lewis & Clark College, Portland, OR 97219 USA
| | - Hsu Chao
- 0000 0001 2160 926Xgrid.39382.33Human Genome Sequencing Center, Department of Human and Molecular Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030 USA
| | - Yolanda H. Chen
- 0000 0004 1936 7689grid.59062.38Department of Plant and Soil Sciences, University of Vermont, Burlington, USA
| | - Christopher Childers
- 0000 0001 2113 2895grid.483014.aNational Agricultural Library, USDA, Beltsville, MD 20705 USA
| | - Huyen Dinh
- 0000 0001 2160 926Xgrid.39382.33Human Genome Sequencing Center, Department of Human and Molecular Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030 USA
| | - Harsha Vardhan Doddapaneni
- 0000 0001 2160 926Xgrid.39382.33Human Genome Sequencing Center, Department of Human and Molecular Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030 USA
| | - Jian J. Duan
- 0000 0004 0404 0958grid.463419.dBeneficial Insects Introduction Research Unit, United States Department of Agriculture, Agricultural Research Service, Newark, DE USA
| | - Shannon Dugan
- 0000 0001 2160 926Xgrid.39382.33Human Genome Sequencing Center, Department of Human and Molecular Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030 USA
| | - Lauren A. Esposito
- 0000 0004 0461 6769grid.242287.9Institute for Biodiversity Science and Sustainability, California Academy of Sciences, 55 Music Concourse Drive, San Francisco, CA 94118 USA
| | - Markus Friedrich
- 0000 0001 1456 7807grid.254444.7Department of Biological Sciences, Wayne State University, Detroit, MI 48202 USA
| | - Jessica Garb
- 0000 0000 9620 1122grid.225262.3Department of Biological Sciences, University of Massachusetts Lowell, 198 Riverside Street, Lowell, MA 01854 USA
| | - Robin B. Gasser
- 0000 0001 2179 088Xgrid.1008.9Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Parkville, VIC 3010 Australia
| | - Michael A. D. Goodisman
- 0000 0001 2097 4943grid.213917.fSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332 USA
| | - Dawn E. Gundersen-Rindal
- 0000 0004 0404 0958grid.463419.dUSDA-ARS Invasive Insect Biocontrol and Behavior Laboratory, Beltsville, MD USA
| | - Yi Han
- 0000 0001 2160 926Xgrid.39382.33Human Genome Sequencing Center, Department of Human and Molecular Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030 USA
| | - Alfred M. Handler
- 0000 0004 0404 0958grid.463419.dUSDA-ARS, Center for Medical, Agricultural, and Veterinary Entomology, 1700 S.W. 23rd Drive, Gainesville, FL 32608 USA
| | - Masatsugu Hatakeyama
- 0000 0001 0699 0373grid.410590.9Division of Insect Sciences, National Institute of Agrobiological Sciences, Owashi, Tsukuba, 305-8634 Japan
| | - Lars Hering
- 0000 0001 1089 1036grid.5155.4Department of Zoology, Institute of Biology, University of Kassel, 34132 Kassel, Germany
| | - Wayne B. Hunter
- 0000 0004 0404 0958grid.463419.dUSDA ARS, U. S. Horticultural Research Laboratory, Ft. Pierce, FL 34945 USA
| | - Panagiotis Ioannidis
- 0000 0001 2322 4988grid.8591.5Department of Genetic Medicine and Development and Swiss Institute of Bioinformatics, University of Geneva, 1211 Geneva, Switzerland ,0000 0004 0635 685Xgrid.4834.bPresent Address: Foundation for Research and Technology Hellas, Institute of Molecular Biology and Biotechnology, Vassilika Vouton, 70013 Heraklion, Greece
| | - Joy C. Jayaseelan
- 0000 0001 2160 926Xgrid.39382.33Human Genome Sequencing Center, Department of Human and Molecular Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030 USA
| | - Divya Kalra
- 0000 0001 2160 926Xgrid.39382.33Human Genome Sequencing Center, Department of Human and Molecular Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030 USA
| | - Abderrahman Khila
- 0000 0001 2150 7757grid.7849.2Université de Lyon, Institut de Génomique Fonctionnelle de Lyon, CNRS UMR 5242, Ecole Normale Supérieure de Lyon, Université Claude Bernard Lyon 1, 46 allée d’Italie, 69364 Lyon, France
| | - Pasi K. Korhonen
- 0000 0001 2179 088Xgrid.1008.9Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Parkville, VIC 3010 Australia
| | - Carol Eunmi Lee
- 0000 0001 0701 8607grid.28803.31Department of Integrative Biology, University of Wisconsin, Madison, WI 53706 USA
| | - Sandra L. Lee
- 0000 0001 2160 926Xgrid.39382.33Human Genome Sequencing Center, Department of Human and Molecular Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030 USA
| | - Yiyuan Li
- 0000 0001 2168 0066grid.131063.6Department of Biological Sciences, University of Notre Dame, 109B Galvin Life Sciences, Notre Dame, IN 46556 USA
| | - Amelia R. I. Lindsey
- 0000 0001 2222 1582grid.266097.cDepartment of Entomology, University of California Riverside, Riverside, CA USA ,0000 0001 0790 959Xgrid.411377.7Present Address: Department of Biology, Indiana University, Bloomington, IN USA
| | - Georg Mayer
- 0000 0001 1089 1036grid.5155.4Department of Zoology, Institute of Biology, University of Kassel, 34132 Kassel, Germany
| | - Alistair P. McGregor
- 0000 0001 0726 8331grid.7628.bDepartment of Biological and Medical Sciences, Oxford Brookes University, Gipsy Lane, Oxford, OX3 0BP UK
| | - Duane D. McKenna
- 0000 0000 9560 654Xgrid.56061.34Department of Biological Sciences, University of Memphis, 3700 Walker Ave, Memphis, TN 38152 USA
| | - Bernhard Misof
- 0000 0001 2216 5875grid.452935.cCenter for Molecular Biodiversity Research, Zoological Research Museum Alexander Koenig, Bonn, Germany
| | - Mala Munidasa
- 0000 0001 2160 926Xgrid.39382.33Human Genome Sequencing Center, Department of Human and Molecular Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030 USA
| | - Monica Munoz-Torres
- 0000 0001 2231 4551grid.184769.5Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, USA ,0000 0004 4665 2899grid.497331.bPresent Address: Phoenix Bioinformatics, 39221 Paseo Padre Parkway, Ste. J., Fremont, CA 94538 USA
| | - Donna M. Muzny
- 0000 0001 2160 926Xgrid.39382.33Human Genome Sequencing Center, Department of Human and Molecular Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030 USA
| | - Oliver Niehuis
- grid.5963.9Evolutionary Biology and Ecology, Institute of Biology I (Zoology), Albert Ludwig University of Freiburg, 79104 Freiburg (Brsg.), Germany
| | - Nkechinyere Osuji-Lacy
- 0000 0001 2160 926Xgrid.39382.33Human Genome Sequencing Center, Department of Human and Molecular Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030 USA
| | - Subba R. Palli
- 0000 0004 1936 8438grid.266539.dDepartment of Entomology, University of Kentucky, Lexington, KY 40546 USA
| | - Kristen A. Panfilio
- 0000 0000 8809 1613grid.7372.1School of Life Sciences, University of Warwick, Gibbet Hill Campus, Coventry, CV4 7AL UK
| | - Matthias Pechmann
- 0000 0000 8580 3777grid.6190.eCologne Biocenter, Zoological Institute, Department of Developmental Biology, University of Cologne, 50674 Cologne, Germany
| | - Trent Perry
- 0000 0001 2179 088Xgrid.1008.9School of BioSciences Science Faculty, The University of Melbourne, Melbourne, VIC 3010 Australia
| | - Ralph S. Peters
- 0000 0001 2216 5875grid.452935.cCentre of Taxonomy and Evolutionary Research, Arthropoda Department, Zoological Research Museum Alexander Koenig, Bonn, Germany
| | - Helen C. Poynton
- 0000 0004 0386 3207grid.266685.9School for the Environment, University of Massachusetts Boston, Boston, MA 02125 USA
| | - Nikola-Michael Prpic
- 0000 0001 2364 4210grid.7450.6Johann-Friedrich-Blumenbach-Institut für Zoologie und Anthropologie, Abteilung für Entwicklungsbiologie, Georg-August-Universität Göttingen, Göttingen, Germany ,0000 0001 2364 4210grid.7450.6Göttingen Center for Molecular Biosciences (GZMB), Georg-August-Universität Göttingen, Göttingen, Germany
| | - Jiaxin Qu
- 0000 0001 2160 926Xgrid.39382.33Human Genome Sequencing Center, Department of Human and Molecular Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030 USA
| | - Dorith Rotenberg
- 0000 0001 2173 6074grid.40803.3fDepartment of Entomology and Plant Pathology, North Carolina State University, Raleigh, NC 27606 USA
| | - Coby Schal
- 0000 0001 2173 6074grid.40803.3fDepartment of Entomology and W.M. Keck Center for Behavioral Biology, North Carolina State University, Raleigh, NC 27695 USA
| | - Sean D. Schoville
- 0000 0001 2167 3675grid.14003.36Department of Entomology, University of Wisconsin-Madison, Madison, USA
| | - Erin D. Scully
- Stored Product Insect and Engineering Research Unit, USDA-ARS Center for Grain and Animal Health Research, Manhattan, KS 66502 USA
| | - Evette Skinner
- 0000 0001 2160 926Xgrid.39382.33Human Genome Sequencing Center, Department of Human and Molecular Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030 USA
| | - Daniel B. Sloan
- 0000 0004 1936 8083grid.47894.36Department of Biology, Colorado State University, Ft. Collins, CO USA
| | - Richard Stouthamer
- 0000 0001 2222 1582grid.266097.cDepartment of Entomology, University of California Riverside, Riverside, CA USA
| | - Michael R. Strand
- 0000 0004 1936 738Xgrid.213876.9Department of Entomology, University of Georgia, Athens, GA USA
| | - Nikolaus U. Szucsich
- 0000 0001 2169 5989grid.252381.fPresent Address: Arkansas Biosciences Institute, Arkansas State University, Jonesboro, AR USA
| | - Asela Wijeratne
- 0000 0000 9560 654Xgrid.56061.34Department of Biological Sciences, University of Memphis, 3700 Walker Ave, Memphis, TN 38152 USA ,0000 0001 2112 4115grid.425585.bNatural History Museum Vienna, Burgring 7, 1010 Vienna, Austria
| | - Neil D. Young
- 0000 0001 2179 088Xgrid.1008.9Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Parkville, VIC 3010 Australia
| | - Eduardo E. Zattara
- 0000 0001 2112 473Xgrid.412234.2INIBIOMA, Univ. Nacional del Comahue – CONICET, Bariloche, Argentina
| | - Joshua B. Benoit
- 0000 0001 2179 9593grid.24827.3bDepartment of Biological Sciences, University of Cincinnati, Cincinnati, OH 45221 USA
| | - Evgeny M. Zdobnov
- 0000 0001 2322 4988grid.8591.5Department of Genetic Medicine and Development and Swiss Institute of Bioinformatics, University of Geneva, 1211 Geneva, Switzerland
| | - Michael E. Pfrender
- 0000 0001 2168 0066grid.131063.6Department of Biological Sciences, University of Notre Dame, 109B Galvin Life Sciences, Notre Dame, IN 46556 USA
| | - Kevin J. Hackett
- 0000 0004 0404 0958grid.463419.dCrop Production and Protection, U.S. Department of Agriculture-Agricultural Research Service, Beltsville, MD 20705 USA
| | - John H. Werren
- 0000 0004 1936 9174grid.16416.34Department of Biology, University of Rochester, Rochester, NY 14627 USA
| | - Kim C. Worley
- 0000 0001 2160 926Xgrid.39382.33Human Genome Sequencing Center, Department of Human and Molecular Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030 USA
| | - Richard A. Gibbs
- 0000 0001 2160 926Xgrid.39382.33Human Genome Sequencing Center, Department of Human and Molecular Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030 USA
| | - Ariel D. Chipman
- 0000 0004 1937 0538grid.9619.7Department of Ecology, Evolution and Behavior, The Alexander Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Edmond J. Safra Campus, Givat Ram, 91904 Jerusalem, Israel
| | - Robert M. Waterhouse
- 0000 0001 2165 4204grid.9851.5Department of Ecology & Evolution and Swiss Institute of Bioinformatics, University of Lausanne, 1015 Lausanne, Switzerland
| | - Erich Bornberg-Bauer
- Institute for Evolution and Biodiversity, University of Münsterss, 48149 Münster, Germany ,0000 0001 2287 2617grid.9026.dInstitute for Bioinformatics and Chemoinformatics, University of Hamburg, Hamburg, Germany ,0000 0001 1014 8330grid.419495.4Department Protein Evolution, Max Planck Institute for Developmental Biology, Tübingen, Germany
| | - Matthew W. Hahn
- 0000 0001 0790 959Xgrid.411377.7Department of Biology and Department of Computer Science, Indiana University, Bloomington, IN USA
| | - Stephen Richards
- 0000 0001 2160 926Xgrid.39382.33Human Genome Sequencing Center, Department of Human and Molecular Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030 USA ,0000 0004 1936 9684grid.27860.3bPresent Address: UC Davis Genome Center, University of California, Davis, CA 95616 USA
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van Loo B, Heberlein M, Mair P, Zinchenko A, Schüürmann J, Eenink BDG, Holstein JM, Dilkaute C, Jose J, Hollfelder F, Bornberg-Bauer E. High-Throughput, Lysis-Free Screening for Sulfatase Activity Using Escherichia coli Autodisplay in Microdroplets. ACS Synth Biol 2019; 8:2690-2700. [PMID: 31738524 DOI: 10.1021/acssynbio.9b00274] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Directed evolution of enzymes toward improved catalytic performance has become a powerful tool in protein engineering. To be effective, a directed evolution campaign requires the use of high-throughput screening. In this study we describe the development of an ultra high-throughput lysis-free procedure to screen for improved sulfatase activity by combining microdroplet-based single-variant activity sorting with E. coli autodisplay. For the first step in a 4-step screening procedure, we quantitatively screened >105 variants of the homodimeric arylsulfatase from Silicibacter pomeroyi (SpAS1), displayed on the E. coli cell surface, for improved sulfatase activity using fluorescence activated droplet sorting. Compartmentalization of the fluorescent reaction product with living E. coli cells autodisplaying the sulfatase variants ensured the continuous linkage of genotype and phenotype during droplet sorting and allowed for direct recovery by simple regrowth of the sorted cells. The use of autodisplay on living cells simplified and reduced the degree of liquid handling during all steps in the screening procedure to the single event of simply mixing substrate and cells. The percentage of apparent improved variants was enriched >10-fold as a result of droplet sorting. We ultimately identified 25 SpAS1 variants with improved performance toward 4-nitrophenyl sulfate (up to 6.2-fold) and/or fluorescein disulfate (up to 30-fold). In SpAS1 variants with improved performance toward the bulky fluorescein disulfate, many of the beneficial mutations occur in residues that form hydrogen bonds between α-helices in the C-terminal oligomerization region, suggesting a previously unknown role for the dimer interface in shaping the substrate binding site of SpAS1.
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Affiliation(s)
- Bert van Loo
- Institute for Evolution and Biodiversity, University of Münster, 48149 Münster, Germany
| | - Magdalena Heberlein
- Institute for Evolution and Biodiversity, University of Münster, 48149 Münster, Germany
- Department of Biochemistry, University of Cambridge, Cambridge CB2 1GA, United Kingdom
| | - Philip Mair
- Department of Biochemistry, University of Cambridge, Cambridge CB2 1GA, United Kingdom
| | - Anastasia Zinchenko
- Department of Biochemistry, University of Cambridge, Cambridge CB2 1GA, United Kingdom
| | - Jan Schüürmann
- Institute of Pharmaceutical and Medicinal Chemistry, University of Münster, 48149 Münster, Germany
| | - Bernard D. G. Eenink
- Institute for Evolution and Biodiversity, University of Münster, 48149 Münster, Germany
| | - Josephin M. Holstein
- Department of Biochemistry, University of Cambridge, Cambridge CB2 1GA, United Kingdom
| | - Carina Dilkaute
- Institute of Pharmaceutical and Medicinal Chemistry, University of Münster, 48149 Münster, Germany
| | - Joachim Jose
- Institute of Pharmaceutical and Medicinal Chemistry, University of Münster, 48149 Münster, Germany
| | - Florian Hollfelder
- Department of Biochemistry, University of Cambridge, Cambridge CB2 1GA, United Kingdom
| | - Erich Bornberg-Bauer
- Institute for Evolution and Biodiversity, University of Münster, 48149 Münster, Germany
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32
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Affiliation(s)
- April Snofrid Kleppe
- Institute of Biodiversity and Evolution, University of Münster, Hüfferstr. 1, 48151 Münster, Germany
| | - Erich Bornberg-Bauer
- Institute of Biodiversity and Evolution, University of Münster, Hüfferstr. 1, 48151 Münster, Germany
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Kleppe AS, Bornberg-Bauer E. Robustness by intrinsically disordered C-termini and translational readthrough. Nucleic Acids Res 2019; 46:10184-10194. [PMID: 30247639 PMCID: PMC6365619 DOI: 10.1093/nar/gky778] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2018] [Accepted: 09/20/2018] [Indexed: 12/20/2022] Open
Abstract
During protein synthesis genetic instructions are passed from DNA via mRNA to the ribosome to assemble a protein chain. Occasionally, stop codons in the mRNA are bypassed and translation continues into the untranslated region (3′-UTR). This process, called translational readthrough (TR), yields a protein chain that becomes longer than would be predicted from the DNA sequence alone. Protein sequences vary in propensity for translational errors, which may yield evolutionary constraints by limiting evolutionary paths. Here we investigated TR in Saccharomyces cerevisiae by analysing ribosome profiling data. We clustered proteins as either prone or non-prone to TR, and conducted comparative analyses. We find that a relatively high frequency (5%) of genes undergo TR, including ribosomal subunit proteins. Our main finding is that proteins undergoing TR are highly expressed and have a higher proportion of intrinsically disordered C-termini. We suggest that highly expressed proteins may compensate for the deleterious effects of TR by having intrinsically disordered C-termini, which may provide conformational flexibility but without distorting native function. Moreover, we discuss whether minimizing deleterious effects of TR is also enabling exploration of the phenotypic landscape of protein isoforms.
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Affiliation(s)
- April Snofrid Kleppe
- Institute of Biodiversity and Evolution, University of Münster, Hüfferstr. 1, 48151 Münster, Germany
| | - Erich Bornberg-Bauer
- Institute of Biodiversity and Evolution, University of Münster, Hüfferstr. 1, 48151 Münster, Germany
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Kurafeiski JD, Pinto P, Bornberg-Bauer E. Evolutionary Potential of Cis-Regulatory Mutations to Cause Rapid Changes in Transcription Factor Binding. Genome Biol Evol 2019; 11:406-414. [PMID: 30597011 PMCID: PMC6370388 DOI: 10.1093/gbe/evy269] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/11/2018] [Indexed: 01/25/2023] Open
Abstract
Transcriptional regulation is crucial for all biological processes and well investigated at the molecular level for a wide range of organisms. However, it is quite unclear how innovations, such as the activity of a novel regulatory element, evolve. In the case of transcription factor (TF) binding, both a novel TF and a novel-binding site would need to evolve concertedly. Since promiscuous functions have recently been identified as important intermediate steps in creating novel specific functions in many areas such as enzyme evolution and protein-protein interactions, we ask here how promiscuous binding of TFs to TF-binding sites (TFBSs) affects the robustness and evolvability of this tightly regulated system. Specifically, we investigate the binding behavior of several hundred TFs from different species at unprecedented breadth. Our results illustrate multiple aspects of TF-binding interactions, ranging from correlations between the strength of the interaction bond and specificity, to preferences regarding TFBS nucleotide composition in relation to both domains and binding specificity. We identified a subset of high A/T binding motifs. Motifs in this subset had many functionally neutral one-error mutants, and were bound by multiple different binding domains. Our results indicate that, especially for some TF-TFBS associations, low binding specificity confers high degrees of evolvability, that is that few mutations facilitate rapid changes in transcriptional regulation, in particular for large and old TF families. In this study we identify binding motifs exhibiting behavior indicating high evolutionary potential for innovations in transcriptional regulation.
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Affiliation(s)
| | - Paulo Pinto
- Molecular Evolution and Bioinformatics, University of Muenster, Germany
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Abstract
Protein domains are reusable segments of proteins and play an important role in protein evolution. By combining the elements from a relatively small set of domains into unique arrangements, a large number of distinct proteins can be generated. Since domains often have specific functions, changes in their arrangement usually affect the overall protein function. Furthermore, domains are well amenable to computational representations, e.g., by Hidden Markov Models (HMMs), and these HMMs are widely represented in various databases. Therefore, domains can be efficiently used for proteomic analyses. Here, we describe how domains are annotated using different domain databases and then how to assess the annotation quality of proteomes. We next show how functional annotations of domains in large-scale data such as whole genomes or transcriptomes can be used to analyze molecular differences between species. Furthermore, we describe methods to analyze the changes in domain content of proteins which significantly helps to characterize and reconstruct the modular evolution of proteins. Altogether, domain-based methods offer a computationally highly effective approach to analyze large amounts of proteomic data in an evolutionary setting.
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Affiliation(s)
- Carsten Kemena
- Institute for Evolution and Biodiversity, University of Münster, Münster, Germany.
| | - Erich Bornberg-Bauer
- Institute for Evolution and Biodiversity, University of Münster, Münster, Germany
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Bornberg-Bauer E, Harrison MC, Jongepier E. The first cockroach genome and its significance for understanding development and the evolution of insect eusociality. J Exp Zool B Mol Dev Evol 2018; 330:251-253. [PMID: 30168666 DOI: 10.1002/jez.b.22826] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/29/2018] [Accepted: 07/30/2018] [Indexed: 06/08/2023]
Affiliation(s)
- Erich Bornberg-Bauer
- Institute for Evolution and Biodiversity, University of Münster, Münster, Germany
| | - Mark C Harrison
- Institute for Evolution and Biodiversity, University of Münster, Münster, Germany
| | - Evelien Jongepier
- Institute for Evolution and Biodiversity, University of Münster, Münster, Germany
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Klasberg S, Bitard-Feildel T, Callebaut I, Bornberg-Bauer E. Origins and structural properties of novel and de novo protein domains during insect evolution. FEBS J 2018; 285:2605-2625. [PMID: 29802682 DOI: 10.1111/febs.14504] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2017] [Revised: 04/12/2018] [Accepted: 05/11/2018] [Indexed: 12/11/2022]
Abstract
Over long time scales, protein evolution is characterized by modular rearrangements of protein domains. Such rearrangements are mainly caused by gene duplication, fusion and terminal losses. To better understand domain emergence mechanisms we investigated 32 insect genomes covering a speciation gradient ranging from ~ 2 to ~ 390 mya. We use established domain models and foldable domains delineated by hydrophobic cluster analysis (HCA), which does not require homologous sequences, to also identify domains which have likely arisen de novo, that is, from previously noncoding DNA. Our results indicate that most novel domains emerge terminally as they originate from ORF extensions while fewer arise in middle arrangements, resulting from exonization of intronic or intergenic regions. Many novel domains rapidly migrate between terminal or middle positions and single- and multidomain arrangements. Young domains, such as most HCA-defined domains, are under strong selection pressure as they show signals of purifying selection. De novo domains, linked to ancient domains or defined by HCA, have higher degrees of intrinsic disorder and disorder-to-order transition upon binding than ancient domains. However, the corresponding DNA sequences of the novel domains of de novo origins could only rarely be found in sister genomes. We conclude that novel domains are often recruited by other proteins and undergo important structural modifications shortly after their emergence, but evolve too fast to be characterized by cross-species comparisons alone.
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Affiliation(s)
- Steffen Klasberg
- Institute for Evolution and Biodiversity, Westfalian Wilhelms University Muenster, Germany
| | - Tristan Bitard-Feildel
- Sorbonne Université, CNRS, IBPS, Laboratoire de Biologie Computationnelle et Quantitative (LCQB), Paris, France
| | - Isabelle Callebaut
- Sorbonne Université, Muséum National d'Histoire Naturelle, UMR CNRS 7590, IRD, Institut de Minéralogie, de Physique des Matériaux et de Cosmochimie, IMPMC, Paris, France
| | - Erich Bornberg-Bauer
- Institute for Evolution and Biodiversity, Westfalian Wilhelms University Muenster, Germany
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Kremer LPM, Korb J, Bornberg-Bauer E. Reconstructed evolution of insulin receptors in insects reveals duplications in early insects and cockroaches. J Exp Zool (Mol Dev Evol ) 2018; 330:305-311. [DOI: 10.1002/jez.b.22809] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/25/2018] [Revised: 04/11/2018] [Accepted: 05/03/2018] [Indexed: 11/10/2022]
Affiliation(s)
| | - Judith Korb
- Evolutionary Biology & Ecology; University of Freiburg; Freiburg Germany
| | - Erich Bornberg-Bauer
- Institute for Evolution and Biodiversity; University of Münster; Münster Germany
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Jongepier E, Kemena C, Lopez-Ezquerra A, Belles X, Bornberg-Bauer E, Korb J. Remodeling of the juvenile hormone pathway through caste-biased gene expression and positive selection along a gradient of termite eusociality. J Exp Zool B Mol Dev Evol 2018; 330:296-304. [PMID: 29845724 DOI: 10.1002/jez.b.22805] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/25/2018] [Revised: 04/25/2018] [Accepted: 05/03/2018] [Indexed: 11/10/2022]
Abstract
The evolution of division of labor between sterile and fertile individuals represents one of the major transitions in biological complexity. A fascinating gradient in eusociality evolved among the ancient hemimetabolous insects, ranging from noneusocial cockroaches through the primitively social lower termites-where workers retain the ability to reproduce-to the higher termites, characterized by lifetime commitment to worker sterility. Juvenile hormone (JH) is a prime candidate for the regulation of reproductive division of labor in termites, as it plays a key role in insect postembryonic development and reproduction. We compared the expression of JH pathway genes between workers and queens in two lower termites (Zootermopsis nevadensis and Cryptotermes secundus) and a higher termite (Macrotermes natalensis) to that of analogous nymphs and adult females of the noneusocial cockroach Blattella germanica. JH biosynthesis and metabolism genes ranged from reproductive female-biased expression in the cockroach to predominantly worker-biased expression in the lower termites. Remarkably, the expression profile of JH pathway genes sets the higher termite apart from the two lower termites, as well as the cockroach, indicating that JH signaling has undergone major changes in this eusocial termite. These changes go beyond mere shifts in gene expression between the different castes, as we find evidence for positive selection in several termite JH pathway genes. Thus, remodeling of the JH pathway may have played a major role in termite social evolution, representing a striking case of convergent molecular evolution between the termites and the distantly related social hymenoptera.
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Affiliation(s)
- Evelien Jongepier
- Institute for Evolution and Biodiversity, University of Münster, Münster, Germany
| | - Carsten Kemena
- Institute for Evolution and Biodiversity, University of Münster, Münster, Germany
| | | | - Xavier Belles
- Institut de Biologia Evolutiva, CSIC-University Pompeu Fabra, Barcelona, Spain
| | - Erich Bornberg-Bauer
- Institute for Evolution and Biodiversity, University of Münster, Münster, Germany
| | - Judith Korb
- Evolutionary Biology & Ecology, University of Freiburg, Freiburg, Germany
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van Loo B, Schober M, Valkov E, Heberlein M, Bornberg-Bauer E, Faber K, Hyvönen M, Hollfelder F. Structural and Mechanistic Analysis of the Choline Sulfatase from Sinorhizobium melliloti: A Class I Sulfatase Specific for an Alkyl Sulfate Ester. J Mol Biol 2018; 430:1004-1023. [PMID: 29458126 PMCID: PMC5870055 DOI: 10.1016/j.jmb.2018.02.010] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2017] [Revised: 02/09/2018] [Accepted: 02/13/2018] [Indexed: 12/23/2022]
Abstract
Hydrolysis of organic sulfate esters proceeds by two distinct mechanisms, water attacking at either sulfur (S-O bond cleavage) or carbon (C-O bond cleavage). In primary and secondary alkyl sulfates, attack at carbon is favored, whereas in aromatic sulfates and sulfated sugars, attack at sulfur is preferred. This mechanistic distinction is mirrored in the classification of enzymes that catalyze sulfate ester hydrolysis: arylsulfatases (ASs) catalyze S-O cleavage in sulfate sugars and arylsulfates, and alkyl sulfatases break the C-O bond of alkyl sulfates. Sinorhizobium meliloti choline sulfatase (SmCS) efficiently catalyzes the hydrolysis of alkyl sulfate choline-O-sulfate (kcat/KM=4.8×103s-1M-1) as well as arylsulfate 4-nitrophenyl sulfate (kcat/KM=12s-1M-1). Its 2.8-Å resolution X-ray structure shows a buried, largely hydrophobic active site in which a conserved glutamate (Glu386) plays a role in recognition of the quaternary ammonium group of the choline substrate. SmCS structurally resembles members of the alkaline phosphatase superfamily, being most closely related to dimeric ASs and tetrameric phosphonate monoester hydrolases. Although >70% of the amino acids between protomers align structurally (RMSDs 1.79-1.99Å), the oligomeric structures show distinctly different packing and protomer-protomer interfaces. The latter also play an important role in active site formation. Mutagenesis of the conserved active site residues typical for ASs, H218O-labeling studies and the observation of catalytically promiscuous behavior toward phosphoesters confirm the close relation to alkaline phosphatase superfamily members and suggest that SmCS is an AS that catalyzes S-O cleavage in alkyl sulfate esters with extreme catalytic proficiency.
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Affiliation(s)
- Bert van Loo
- Department of Biochemistry, University of Cambridge, 80 Tennis Court Road, Cambridge CB2 1GA, United Kingdom; Institute for Evolution and Biodiversity, University of Münster, Hüfferstrasse 1, D-48149 Münster, Germany
| | - Markus Schober
- Department of Biochemistry, University of Cambridge, 80 Tennis Court Road, Cambridge CB2 1GA, United Kingdom; Department of Chemistry, Organic & Bioorganic Chemistry, University of Graz, Heinrichstrasse 28, A-8010 Graz, Austria
| | - Eugene Valkov
- Department of Biochemistry, University of Cambridge, 80 Tennis Court Road, Cambridge CB2 1GA, United Kingdom
| | - Magdalena Heberlein
- Institute for Evolution and Biodiversity, University of Münster, Hüfferstrasse 1, D-48149 Münster, Germany
| | - Erich Bornberg-Bauer
- Institute for Evolution and Biodiversity, University of Münster, Hüfferstrasse 1, D-48149 Münster, Germany
| | - Kurt Faber
- Department of Chemistry, Organic & Bioorganic Chemistry, University of Graz, Heinrichstrasse 28, A-8010 Graz, Austria
| | - Marko Hyvönen
- Department of Biochemistry, University of Cambridge, 80 Tennis Court Road, Cambridge CB2 1GA, United Kingdom.
| | - Florian Hollfelder
- Department of Biochemistry, University of Cambridge, 80 Tennis Court Road, Cambridge CB2 1GA, United Kingdom.
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41
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Lopez-Ezquerra A, Mitschke A, Bornberg-Bauer E, Joop G. Tribolium castaneum gene expression changes after Paranosema whitei infection. J Invertebr Pathol 2018; 153:92-98. [DOI: 10.1016/j.jip.2018.02.009] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2017] [Revised: 01/10/2018] [Accepted: 02/12/2018] [Indexed: 12/24/2022]
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Abstract
Protein interactions are an important resource to obtain an understanding of cell function. Recently, researchers have compared networks of interactions in order to understand network evolution. While current methods first infer homologs and then compare topologies, we here present a method which first searches for interesting topologies and then looks for homologs. PINA (protein interaction network analysis) takes the protein interaction networks of two organisms, scans both networks for subnetworks deemed interesting, and then tries to find orthologs among the interesting subnetworks. The application is very fast because orthology investigations are restricted to subnetworks like hubs and clusters that fulfill certain criteria regarding neighborhood and connectivity. Finally, the hubs or clusters found to be related can be visualized and analyzed according to protein annotation.
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Affiliation(s)
- Mirco Gerke
- Division of Bioinformatics, Biology Department, Schlossplatz 4, D-48149 Münster, Germany
- Institut für Informatik, Fachbereich Mathematik und Informatik, Einsteinstr. 62, D- 48149 Münster, Germany
| | - Erich Bornberg-Bauer
- Division of Bioinformatics, Biology Department, Schlossplatz 4, D-48149 Münster, Germany
| | - Xiaoyi Jiang
- Institut für Informatik, Fachbereich Mathematik und Informatik, Einsteinstr. 62, D- 48149 Münster, Germany
| | - Georg Fuellen
- Division of Bioinformatics, Biology Department, Schlossplatz 4, D-48149 Münster, Germany
- Department of Medicine, AG Bioinformatics, Domagkstr. 3, D-48149 Münster, Germany
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Gubala AM, Schmitz JF, Kearns MJ, Vinh TT, Bornberg-Bauer E, Wolfner MF, Findlay GD. The Goddard and Saturn Genes Are Essential for Drosophila Male Fertility and May Have Arisen De Novo. Mol Biol Evol 2017; 34:1066-1082. [PMID: 28104747 DOI: 10.1093/molbev/msx057] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
New genes arise through a variety of mechanisms, including the duplication of existing genes and the de novo birth of genes from noncoding DNA sequences. While there are numerous examples of duplicated genes with important functional roles, the functions of de novo genes remain largely unexplored. Many newly evolved genes are expressed in the male reproductive tract, suggesting that these evolutionary innovations may provide advantages to males experiencing sexual selection. Using testis-specific RNA interference, we screened 11 putative de novo genes in Drosophila melanogaster for effects on male fertility and identified two, goddard and saturn, that are essential for spermatogenesis and sperm function. Goddard knockdown (KD) males fail to produce mature sperm, while saturn KD males produce few sperm, and these function inefficiently once transferred to females. Consistent with a de novo origin, both genes are identifiable only in Drosophila and are predicted to encode proteins with no sequence similarity to any annotated protein. However, since high levels of divergence prevented the unambiguous identification of the noncoding sequences from which each gene arose, we consider goddard and saturn to be putative de novo genes. Within Drosophila, both genes have been lost in certain lineages, but show conserved, male-specific patterns of expression in the species in which they are found. Goddard is consistently found in single-copy and evolves under purifying selection. In contrast, saturn has diversified through gene duplication and positive selection. These data suggest that de novo genes can acquire essential roles in male reproduction.
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Affiliation(s)
- Anna M Gubala
- Department of Biology, College of the Holy Cross, Worcester, MA
| | - Jonathan F Schmitz
- Evolutionary Bioinformatics Group, Institute for Evolution and Biodiversity, University of Münster, Münster, Germany
| | | | - Tery T Vinh
- Department of Biology, College of the Holy Cross, Worcester, MA
| | - Erich Bornberg-Bauer
- Evolutionary Bioinformatics Group, Institute for Evolution and Biodiversity, University of Münster, Münster, Germany
| | - Mariana F Wolfner
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY
| | - Geoffrey D Findlay
- Department of Biology, College of the Holy Cross, Worcester, MA.,Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY
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Abstract
BACKGROUND The ever increasing availability of genomes makes it possible to investigate and compare not only the genomic complements of genes and proteins, but also of RNAs. One class of RNAs, the long noncoding RNAs (lncRNAs) and, in particular, their subclass of long intergenic noncoding RNAs (lincRNAs) have recently gained much attention because of their roles in regulation of important biological processes such as immune response or cell differentiation and as possible evolutionary precursors for protein coding genes. lincRNAs seem to be poorly conserved at the sequence level but at least some lincRNAs have conserved structural elements and syntenic genomic positions. Previous studies showed that transposable elements are a main contribution to the evolution of lincRNAs in mammals. In contrast, plant lincRNA emergence and evolution has been linked with local duplication events. However, little is known about their evolutionary dynamics in general and in insect genomes in particular. RESULTS Here we compared lincRNAs between seven insect genomes and investigated possible evolutionary changes and functional roles. We find very low sequence conservation between different species and that similarities within a species are mostly due to their association with transposable elements (TE) and simple repeats. Furthermore, we find that TEs are less frequent in lincRNA exons than in their introns, indicating that TEs may have been removed by selection. When we analysed the predicted thermodynamic stabilities of lincRNAs we found that they are more stable than their randomized controls which might indicate some selection pressure to maintain certain structural elements. We list several of the most stable lincRNAs which could serve as prime candidates for future functional studies. We also discuss the possibility of de novo protein coding genes emerging from lincRNAs. This is because lincRNAs with high GC content and potentially with longer open reading frames (ORF) are candidate loci where de novo gene emergence might occur. CONCLUSION The processes responsible for the emergence and diversification of lincRNAs in insects remain unclear. Both duplication and transposable elements may be important for the creation of new lincRNAs in insects.
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Affiliation(s)
- Alberto Lopez-Ezquerra
- Institute of Evolution and Biodiversity, University of Münster, Hüfferstrasse,1, Münster, Münster, Germany
| | - Mark C Harrison
- Institute of Evolution and Biodiversity, University of Münster, Hüfferstrasse,1, Münster, Münster, Germany
| | - Erich Bornberg-Bauer
- Institute of Evolution and Biodiversity, University of Münster, Hüfferstrasse,1, Münster, Münster, Germany.
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Affiliation(s)
- Bert van Loo
- Institute for Evolution and Biodiversity, University of Münster, Münster, Germany
| | - Erich Bornberg-Bauer
- Institute for Evolution and Biodiversity, University of Münster, Münster, Germany
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Abstract
Over the last few years, there has been an increasing amount of evidence for the
de novo emergence of protein-coding genes, i.e. out of non-coding DNA. Here, we review the current literature and summarize the state of the field. We focus specifically on open questions and challenges in the study of
de novo protein-coding genes such as the identification and verification of
de novo-emerged genes. The greatest obstacle to date is the lack of high-quality genomic data with very short divergence times which could help precisely pin down the location of origin of a
de novo gene. We conclude that, while there is plenty of evidence from a genetics perspective, there is a lack of functional studies of bona fide
de novo genes and almost no knowledge about protein structures and how they come about during the emergence of
de novo protein-coding genes. We suggest that future studies should concentrate on the functional and structural characterization of
de novo protein-coding genes as well as the detailed study of the emergence of functional
de novo protein-coding genes.
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Affiliation(s)
- Jonathan F Schmitz
- Institute for Evolution and Biodiversity, University of Muenster, Muenster, Germany
| | - Erich Bornberg-Bauer
- Institute for Evolution and Biodiversity, University of Muenster, Muenster, Germany
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Abstract
Repeats are ubiquitous elements of proteins and they play important roles for cellular function and during evolution. Repeats are, however, also notoriously difficult to capture computationally and large scale studies so far had difficulties in linking genetic causes, structural properties and evolutionary trajectories of protein repeats. Here we apply recently developed methods for repeat detection and analysis to a large dataset comprising over hundred metazoan genomes. We find that repeats in larger protein families experience generally very few insertions or deletions (indels) of repeat units but there is also a significant fraction of noteworthy volatile outliers with very high indel rates. Analysis of structural data indicates that repeats with an open structure and independently folding units are more volatile and more likely to be intrinsically disordered. Such disordered repeats are also significantly enriched in sites with a high functional potential such as linear motifs. Furthermore, the most volatile repeats have a high sequence similarity between their units. Since many volatile repeats also show signs of recombination, we conclude they are often shaped by concerted evolution. Intriguingly, many of these conserved yet volatile repeats are involved in host-pathogen interactions where they might foster fast but subtle adaptation in biological arms races. KEY WORDS: protein evolution, domain rearrangements, protein repeats, concerted evolution.
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Affiliation(s)
- Andreas Schüler
- Institute for Evolution and Biodiversity, Westfalian Wilhelms University, Huefferstrasse 1, Muenster, Germany
| | - Erich Bornberg-Bauer
- Institute for Evolution and Biodiversity, Westfalian Wilhelms University, Huefferstrasse 1, Muenster, Germany
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Jueterbock A, Franssen SU, Bergmann N, Gu J, Coyer JA, Reusch TBH, Bornberg-Bauer E, Olsen JL. Phylogeographic differentiation versus transcriptomic adaptation to warm temperatures inZostera marina, a globally important seagrass. Mol Ecol 2016; 25:5396-5411. [DOI: 10.1111/mec.13829] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2015] [Revised: 08/15/2016] [Accepted: 08/23/2016] [Indexed: 12/17/2022]
Affiliation(s)
- A. Jueterbock
- Faculty of Biosciences and Aquaculture; Nord University; Universitetsalleen 11 Bodø 8049 Norway
| | - S. U. Franssen
- Institut für Populationsgenetik; Vetmeduni Vienna; Veterinärplatz 1 Vienna 1210 Austria
- Institute for Evolution and Biodiversity; University of Münster; Hüfferstr. 1 Münster 48149 Germany
| | - N. Bergmann
- Integrated School of Ocean Sciences (ISOS); Kiel University; Leibnizstr. 3 Kiel 24098 Germany
| | - J. Gu
- Institute for Evolution and Biodiversity; University of Münster; Hüfferstr. 1 Münster 48149 Germany
| | - J. A. Coyer
- Shoals Marine Laboratory; University of New Hampshire; Durham NH 03824 USA
- Groningen Institute for Evolutionary Life Sciences; Ecological and Evolutionary Genomics Group; University of Groningen; P.O. Box 11103 Groningen 9700 CC The Netherlands
| | - T. B. H. Reusch
- GEOMAR Helmholtz-Centre for Ocean Research Kiel; Evolutionary Ecology of Marine Fishes; Düsternbrooker Weg 20 Kiel 24105 Germany
| | - E. Bornberg-Bauer
- Institute for Evolution and Biodiversity; University of Münster; Hüfferstr. 1 Münster 48149 Germany
| | - J. L. Olsen
- Groningen Institute for Evolutionary Life Sciences; Ecological and Evolutionary Genomics Group; University of Groningen; P.O. Box 11103 Groningen 9700 CC The Netherlands
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49
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Elsner D, Kremer LP, Arning N, Bornberg-Bauer E. Chapter 6. Comparative genomic approaches to investigate molecular traits specific to social insects. Curr Opin Insect Sci 2016; 16:87-94. [PMID: 27720056 DOI: 10.1016/j.cois.2016.05.016] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/31/2016] [Revised: 05/01/2016] [Accepted: 05/20/2016] [Indexed: 06/06/2023]
Abstract
Ageing is a feature of nearly all known organisms and, by its connection to survival, appears to trade off with fecundity. However, in some organisms such as in queens of social insects, this negative relation appears reversed and individuals live long and reproduce much. Since new experimental techniques, transcriptomes and genomes of many social insects have recently become available, a comparison of these data in a phylogenetic framework becomes feasible. This allows the study of general trends, species specific oddities and evolutionary dynamics of the molecular properties and changes which underlie ageing, fecundity and the reversal of this negative association. In the framework of social insect evolution, we review the most important recent insights, computational methods, their applications and data resources which are available.
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Affiliation(s)
- Daniel Elsner
- Evolutionary Biology and Ecology, Institute of Biology I (Zoology), University of Freiburg, Hauptstrasse 1, D-79104 Freiburg, Germany.
| | - Lukas Pm Kremer
- Institute for Evolution and Biodiversity, Westfalian Wilhelms University, Hüfferstrasse 1, D-48149 Münster, Germany
| | - Nicolas Arning
- Institute for Evolution and Biodiversity, Westfalian Wilhelms University, Hüfferstrasse 1, D-48149 Münster, Germany
| | - Erich Bornberg-Bauer
- Institute for Evolution and Biodiversity, Westfalian Wilhelms University, Hüfferstrasse 1, D-48149 Münster, Germany
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Haase D, Rieger JK, Witten A, Stoll M, Bornberg-Bauer E, Kalbe M, Schmidt-Drewello A, Scharsack JP, Reusch TB. Comparative transcriptomics of stickleback immune gene responses upon infection by two helminth parasites, Diplostomum pseudospathaceum and Schistocephalus solidus. ZOOLOGY 2016; 119:307-13. [DOI: 10.1016/j.zool.2016.05.005] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2015] [Revised: 03/07/2016] [Accepted: 05/22/2016] [Indexed: 12/13/2022]
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