1
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Pereira AB, Marano M, Bathala R, Zaragoza RA, Neira A, Samano A, Owoyemi A, Casola C. Orphan genes are not a distinct biological entity. Bioessays 2025; 47:e2400146. [PMID: 39491810 DOI: 10.1002/bies.202400146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2024] [Revised: 10/06/2024] [Accepted: 10/11/2024] [Indexed: 11/05/2024]
Abstract
The genome sequencing revolution has revealed that all species possess a large number of unique genes critical for trait variation, adaptation, and evolutionary innovation. One widely used approach to identify such genes consists of detecting protein-coding sequences with no homology in other genomes, termed orphan genes. These genes have been extensively studied, under the assumption that they represent valid proxies for species-specific genes. Here, we critically evaluate taxonomic, phylogenetic, and sequence evolution evidence showing that orphan genes belong to a range of evolutionary ages and thus cannot be assigned to a single lineage. Furthermore, we show that the processes generating orphan genes are substantially more diverse than generally thought and include horizontal gene transfer, transposable element domestication, and overprinting. Thus, orphan genes represent a heterogeneous collection of genes rather than a single biological entity, making them unsuitable as a subject for meaningful investigation of gene evolution and phenotypic innovation.
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Affiliation(s)
- Andres Barboza Pereira
- Interdisciplinary Graduate Program in Genetics & Genomics, Texas A&M University, College Station, Texas, USA
- Interdisciplinary Doctoral Program in Ecology and Evolutionary Biology, Texas A&M University, College Station, Texas, USA
| | - Matthew Marano
- Interdisciplinary Doctoral Program in Ecology and Evolutionary Biology, Texas A&M University, College Station, Texas, USA
| | - Ramya Bathala
- Department of Biochemistry and Biophysics, Texas A&M University, College Station, Texas, USA
| | | | - Andres Neira
- School of Pharmacy, Texas A&M University, College Station, Texas, USA
| | - Alex Samano
- Department of Biology, Texas A&M University, College Station, Texas, USA
| | - Adekola Owoyemi
- Department of Ecology and Conservation Biology, Texas A&M University, College Station, Texas, USA
| | - Claudio Casola
- Interdisciplinary Graduate Program in Genetics & Genomics, Texas A&M University, College Station, Texas, USA
- Interdisciplinary Doctoral Program in Ecology and Evolutionary Biology, Texas A&M University, College Station, Texas, USA
- Department of Ecology and Conservation Biology, Texas A&M University, College Station, Texas, USA
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2
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Middendorf L, Ravi Iyengar B, Eicholt LA. Sequence, Structure, and Functional Space of Drosophila De Novo Proteins. Genome Biol Evol 2024; 16:evae176. [PMID: 39212966 PMCID: PMC11363682 DOI: 10.1093/gbe/evae176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/29/2024] [Indexed: 09/04/2024] Open
Abstract
During de novo emergence, new protein coding genes emerge from previously nongenic sequences. The de novo proteins they encode are dissimilar in composition and predicted biochemical properties to conserved proteins. However, functional de novo proteins indeed exist. Both identification of functional de novo proteins and their structural characterization are experimentally laborious. To identify functional and structured de novo proteins in silico, we applied recently developed machine learning based tools and found that most de novo proteins are indeed different from conserved proteins both in their structure and sequence. However, some de novo proteins are predicted to adopt known protein folds, participate in cellular reactions, and to form biomolecular condensates. Apart from broadening our understanding of de novo protein evolution, our study also provides a large set of testable hypotheses for focused experimental studies on structure and function of de novo proteins in Drosophila.
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Affiliation(s)
- Lasse Middendorf
- Institute for Evolution and Biodiversity, University of Muenster, Huefferstrasse 1, 48149 Muenster, Germany
| | - Bharat Ravi Iyengar
- Institute for Evolution and Biodiversity, University of Muenster, Huefferstrasse 1, 48149 Muenster, Germany
| | - Lars A Eicholt
- Institute for Evolution and Biodiversity, University of Muenster, Huefferstrasse 1, 48149 Muenster, Germany
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3
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Rich A, Acar O, Carvunis AR. Massively integrated coexpression analysis reveals transcriptional regulation, evolution and cellular implications of the yeast noncanonical translatome. Genome Biol 2024; 25:183. [PMID: 38978079 PMCID: PMC11232214 DOI: 10.1186/s13059-024-03287-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 05/20/2024] [Indexed: 07/10/2024] Open
Abstract
BACKGROUND Recent studies uncovered pervasive transcription and translation of thousands of noncanonical open reading frames (nORFs) outside of annotated genes. The contribution of nORFs to cellular phenotypes is difficult to infer using conventional approaches because nORFs tend to be short, of recent de novo origins, and lowly expressed. Here we develop a dedicated coexpression analysis framework that accounts for low expression to investigate the transcriptional regulation, evolution, and potential cellular roles of nORFs in Saccharomyces cerevisiae. RESULTS Our results reveal that nORFs tend to be preferentially coexpressed with genes involved in cellular transport or homeostasis but rarely with genes involved in RNA processing. Mechanistically, we discover that young de novo nORFs located downstream of conserved genes tend to leverage their neighbors' promoters through transcription readthrough, resulting in high coexpression and high expression levels. Transcriptional piggybacking also influences the coexpression profiles of young de novo nORFs located upstream of genes, but to a lesser extent and without detectable impact on expression levels. Transcriptional piggybacking influences, but does not determine, the transcription profiles of de novo nORFs emerging nearby genes. About 40% of nORFs are not strongly coexpressed with any gene but are transcriptionally regulated nonetheless and tend to form entirely new transcription modules. We offer a web browser interface ( https://carvunislab.csb.pitt.edu/shiny/coexpression/ ) to efficiently query, visualize, and download our coexpression inferences. CONCLUSIONS Our results suggest that nORF transcription is highly regulated. Our coexpression dataset serves as an unprecedented resource for unraveling how nORFs integrate into cellular networks, contribute to cellular phenotypes, and evolve.
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Affiliation(s)
- April Rich
- Joint Carnegie Mellon University-University of Pittsburgh, University of Pittsburgh Computational Biology PhD Program, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Computational and Systems Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
- Pittsburgh Center for Evolutionary Biology and Medicine (CEBaM), University of Pittsburgh, Pittsburgh, PA, USA
| | - Omer Acar
- Joint Carnegie Mellon University-University of Pittsburgh, University of Pittsburgh Computational Biology PhD Program, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Computational and Systems Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
- Pittsburgh Center for Evolutionary Biology and Medicine (CEBaM), University of Pittsburgh, Pittsburgh, PA, USA
| | - Anne-Ruxandra Carvunis
- Department of Computational and Systems Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
- Pittsburgh Center for Evolutionary Biology and Medicine (CEBaM), University of Pittsburgh, Pittsburgh, PA, USA.
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4
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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] [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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5
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Wacholder A, Parikh SB, Coelho NC, Acar O, Houghton C, Chou L, Carvunis AR. A vast evolutionarily transient translatome contributes to phenotype and fitness. Cell Syst 2023; 14:363-381.e8. [PMID: 37164009 PMCID: PMC10348077 DOI: 10.1016/j.cels.2023.04.002] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Revised: 01/30/2023] [Accepted: 04/06/2023] [Indexed: 05/12/2023]
Abstract
Translation is the process by which ribosomes synthesize proteins. Ribosome profiling recently revealed that many short sequences previously thought to be noncoding are pervasively translated. To identify protein-coding genes in this noncanonical translatome, we combine an integrative framework for extremely sensitive ribosome profiling analysis, iRibo, with high-powered selection inferences tailored for short sequences. We construct a reference translatome for Saccharomyces cerevisiae comprising 5,400 canonical and almost 19,000 noncanonical translated elements. Only 14 noncanonical elements were evolving under detectable purifying selection. A representative subset of translated elements lacking signatures of selection demonstrated involvement in processes including DNA repair, stress response, and post-transcriptional regulation. Our results suggest that most translated elements are not conserved protein-coding genes and contribute to genotype-phenotype relationships through fast-evolving molecular mechanisms.
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Affiliation(s)
- Aaron Wacholder
- Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA; Pittsburgh Center for Evolutionary Biology and Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Saurin Bipin Parikh
- Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA; Pittsburgh Center for Evolutionary Biology and Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA; Integrative Systems Biology Program, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Nelson Castilho Coelho
- Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA; Pittsburgh Center for Evolutionary Biology and Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Omer Acar
- Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA; Pittsburgh Center for Evolutionary Biology and Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA; Joint CMU-Pitt PhD Program in Computational Biology, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Carly Houghton
- Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA; Pittsburgh Center for Evolutionary Biology and Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA; Joint CMU-Pitt PhD Program in Computational Biology, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Lin Chou
- Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA; Pittsburgh Center for Evolutionary Biology and Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA; Integrative Systems Biology Program, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Anne-Ruxandra Carvunis
- Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA; Pittsburgh Center for Evolutionary Biology and Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA.
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6
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Chen N, Yang S, You D, Shen J, Ruan B, Wu M, Zhang J, Luo X, Tang H. Systematic genetic modifications of cell wall biosynthesis enhanced the secretion and surface-display of polysaccharide degrading enzymes in Saccharomyces cerevisiae. Metab Eng 2023; 77:273-282. [PMID: 37100192 DOI: 10.1016/j.ymben.2023.04.011] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Revised: 03/31/2023] [Accepted: 04/15/2023] [Indexed: 04/28/2023]
Abstract
Saccharomyces cerevisiae is a robust cell factory to secrete or surface-display cellulase and amylase for the conversion of agricultural residues into valuable chemicals. Engineering the secretory pathway is a well-known strategy for overproducing these enzymes. Although cell wall biosynthesis can be tightly linked to the secretory pathway by regulation of all involved processes, the effect of its modifications on protein production has not been extensively studied. In this study, we systematically studied the effect of engineering cell wall biosynthesis on the activity of cellulolytic enzyme β-glucosidase (BGL1) by comparing seventy-nine gene knockout S. cerevisiae strains and newly identified that inactivation of DFG5, YPK1, FYV5, CCW12 and KRE1 obviously improved BGL1 secretion and surface-display. Combinatorial modifications of these genes, particularly double deletion of FVY5 and CCW12, along with the use of rich medium, increased the activity of secreted and surface-displayed BGL1 by 6.13-fold and 7.99-fold, respectively. Additionally, we applied this strategy to improve the activity of the cellulolytic cellobiohydrolase and amylolytic α-amylase. Through proteomic analysis coupled with reverse engineering, we found that in addition to the secretory pathway, regulation of translation processes may also involve in improving enzyme activity by engineering cell wall biosynthesis. Our work provides new insight into the construction of a yeast cell factory for efficient production of polysaccharide degrading enzymes.
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Affiliation(s)
- Nanzhu Chen
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Shuo Yang
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China; State Key Laboratory of Biobased Material and Green Papermaking, School of Bioengineering, Key Laboratory of Shandong Microbial Engineering, Qilu University of Technology, 3501 Daxue Road, Jinan, 250353, China
| | - Dawei You
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Junfeng Shen
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Banlai Ruan
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Mei Wu
- Synceres Biosciences (Shenzhen) Co., Ltd, Nanshan Medical Device Industrial Park, Nanhai Avenue, Shenzhen, 518067, China
| | - Jianzhi Zhang
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Xiaozhou Luo
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.
| | - Hongting Tang
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.
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7
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Parikh SB, Houghton C, Van Oss SB, Wacholder A, Carvunis A. Origins, evolution, and physiological implications of de novo genes in yeast. Yeast 2022; 39:471-481. [PMID: 35959631 PMCID: PMC9544372 DOI: 10.1002/yea.3810] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Revised: 08/08/2022] [Accepted: 08/09/2022] [Indexed: 12/03/2022] Open
Abstract
De novo gene birth is the process by which new genes emerge in sequences that were previously noncoding. Over the past decade, researchers have taken advantage of the power of yeast as a model and a tool to study the evolutionary mechanisms and physiological implications of de novo gene birth. We summarize the mechanisms that have been proposed to explicate how noncoding sequences can become protein-coding genes, highlighting the discovery of pervasive translation of the yeast transcriptome and its presumed impact on evolutionary innovation. We summarize current best practices for the identification and characterization of de novo genes. Crucially, we explain that the field is still in its nascency, with the physiological roles of most young yeast de novo genes identified thus far still utterly unknown. We hope this review inspires researchers to investigate the true contribution of de novo gene birth to cellular physiology and phenotypic diversity across yeast strains and species.
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Affiliation(s)
- Saurin B. Parikh
- Department of Computational and Systems Biology, School of Medicine, Pittsburgh Center for Evolutionary Biology and EvolutionUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Carly Houghton
- Department of Computational and Systems Biology, School of Medicine, Pittsburgh Center for Evolutionary Biology and EvolutionUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - S. Branden Van Oss
- Department of Computational and Systems Biology, School of Medicine, Pittsburgh Center for Evolutionary Biology and EvolutionUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Aaron Wacholder
- Department of Computational and Systems Biology, School of Medicine, Pittsburgh Center for Evolutionary Biology and EvolutionUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Anne‐Ruxandra Carvunis
- Department of Computational and Systems Biology, School of Medicine, Pittsburgh Center for Evolutionary Biology and EvolutionUniversity of PittsburghPittsburghPennsylvaniaUSA
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8
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New Genomic Signals Underlying the Emergence of Human Proto-Genes. Genes (Basel) 2022; 13:genes13020284. [PMID: 35205330 PMCID: PMC8871994 DOI: 10.3390/genes13020284] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Revised: 01/20/2022] [Accepted: 01/24/2022] [Indexed: 12/04/2022] Open
Abstract
De novo genes are novel genes which emerge from non-coding DNA. Until now, little is known about de novo genes’ properties, correlated to their age and mechanisms of emergence. In this study, we investigate four related properties: introns, upstream regulatory motifs, 5′ Untranslated regions (UTRs) and protein domains, in 23,135 human proto-genes. We found that proto-genes contain introns, whose number and position correlates with the genomic position of proto-gene emergence. The origin of these introns is debated, as our results suggest that 41% of proto-genes might have captured existing introns, and 13.7% of them do not splice the ORF. We show that proto-genes which emerged via overprinting tend to be more enriched in core promotor motifs, while intergenic and intronic genes are more enriched in enhancers, even if the TATA motif is most commonly found upstream in these genes. Intergenic and intronic 5′ UTRs of proto-genes have a lower potential to stabilise mRNA structures than exonic proto-genes and established human genes. Finally, we confirm that proteins expressed by proto-genes gain new putative domains with age. Overall, we find that regulatory motifs inducing transcription and translation of previously non-coding sequences may facilitate proto-gene emergence. Our study demonstrates that introns, 5′ UTRs, and domains have specific properties in proto-genes. We also emphasize that the genomic positions of de novo genes strongly impacts these properties.
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9
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Cherezov RO, Vorontsova JE, Simonova OB. The Phenomenon of Evolutionary “De Novo Generation” of Genes. Russ J Dev Biol 2021. [DOI: 10.1134/s1062360421060035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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10
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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: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [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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11
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Majic P, Payne JL. Enhancers Facilitate the Birth of De Novo Genes and Gene Integration into Regulatory Networks. Mol Biol Evol 2021; 37:1165-1178. [PMID: 31845961 PMCID: PMC7086177 DOI: 10.1093/molbev/msz300] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Regulatory networks control the spatiotemporal gene expression patterns that give rise to and define the individual cell types of multicellular organisms. In eumetazoa, distal regulatory elements called enhancers play a key role in determining the structure of such networks, particularly the wiring diagram of “who regulates whom.” Mutations that affect enhancer activity can therefore rewire regulatory networks, potentially causing adaptive changes in gene expression. Here, we use whole-tissue and single-cell transcriptomic and chromatin accessibility data from mouse to show that enhancers play an additional role in the evolution of regulatory networks: They facilitate network growth by creating transcriptionally active regions of open chromatin that are conducive to de novo gene evolution. Specifically, our comparative transcriptomic analysis with three other mammalian species shows that young, mouse-specific intergenic open reading frames are preferentially located near enhancers, whereas older open reading frames are not. Mouse-specific intergenic open reading frames that are proximal to enhancers are more highly and stably transcribed than those that are not proximal to enhancers or promoters, and they are transcribed in a limited diversity of cellular contexts. Furthermore, we report several instances of mouse-specific intergenic open reading frames proximal to promoters showing evidence of being repurposed enhancers. We also show that open reading frames gradually acquire interactions with enhancers over macroevolutionary timescales, helping integrate genes—those that have arisen de novo or by other means—into existing regulatory networks. Taken together, our results highlight a dual role of enhancers in expanding and rewiring gene regulatory networks.
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Affiliation(s)
- Paco Majic
- Institute of Integrative Biology, ETH Zurich, Zurich, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Joshua L Payne
- Institute of Integrative Biology, ETH Zurich, Zurich, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
- Corresponding author: E-mail:
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12
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Uncovering de novo gene birth in yeast using deep transcriptomics. Nat Commun 2021; 12:604. [PMID: 33504782 PMCID: PMC7841160 DOI: 10.1038/s41467-021-20911-3] [Citation(s) in RCA: 49] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2019] [Accepted: 01/04/2021] [Indexed: 01/30/2023] Open
Abstract
De novo gene origination has been recently established as an important mechanism for the formation of new genes. In organisms with a large genome, intergenic and intronic regions provide plenty of raw material for new transcriptional events to occur, but little is know about how de novo transcripts originate in more densely-packed genomes. Here, we identify 213 de novo originated transcripts in Saccharomyces cerevisiae using deep transcriptomics and genomic synteny information from multiple yeast species grown in two different conditions. We find that about half of the de novo transcripts are expressed from regions which already harbor other genes in the opposite orientation; these transcripts show similar expression changes in response to stress as their overlapping counterparts, and some appear to translate small proteins. Thus, a large fraction of de novo genes in yeast are likely to co-evolve with already existing genes.
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13
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Keeling DM, Garza P, Nartey CM, Carvunis AR. The Recalcitrance and Resilience of Scientific Function. ACTA ACUST UNITED AC 2020; 15. [PMID: 34164225 DOI: 10.13008/2151-2957.1299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
"Function" is a vitally important concept in the scientific community. Scientists use it to describe and address a wide variety of research problems. In publications, however, scientists within and across disciplines interpret function differently. For example, intense debate surrounds what percentage of the human genome should be deemed "functional" rather than "junk DNA." In this essay, we analyze the use of function in the research of de novo gene birth, a budding scientific field that studies how novel genes can emerge in non-genic sequences. Our research team, composed of a rhetorical scholar, philosopher, structural biologist and systems biologist, crafts a taxonomy of how "function" is variously constituted in de novo gene birth publications, including as expressions, capacities, interactions, physiological implications and evolutionary implications. We argue function is shaped by the diverse onto-epistemological perspectives of scientists and is both a recalcitrant and resilient concept of scientific practice. Informed by Gilles Deleuze and Felix Guattari's writings on a scientific mode of thinking, functions are time-space scales of objects under investigation that make possible references to scientific measurements.
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Perochon A, Kahla A, Vranić M, Jia J, Malla KB, Craze M, Wallington E, Doohan FM. A wheat NAC interacts with an orphan protein and enhances resistance to Fusarium head blight disease. PLANT BIOTECHNOLOGY JOURNAL 2019; 17:1892-1904. [PMID: 30821405 PMCID: PMC6737021 DOI: 10.1111/pbi.13105] [Citation(s) in RCA: 42] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/27/2018] [Revised: 02/19/2019] [Accepted: 02/21/2019] [Indexed: 05/05/2023]
Abstract
Taxonomically-restricted orphan genes play an important role in environmental adaptation, as recently demonstrated by the fact that the Pooideae-specific orphan TaFROG (Triticum aestivum Fusarium Resistance Orphan Gene) enhanced wheat resistance to the economically devastating Fusarium head blight (FHB) disease. Like most orphan genes, little is known about the cellular function of the encoded protein TaFROG, other than it interacts with the central stress regulator TaSnRK1α. Here, we functionally characterized a wheat (T. aestivum) NAC-like transcription factor TaNACL-D1 that interacts with TaFROG and investigated its' role in FHB using studies to assess motif analyses, yeast transactivation, protein-protein interaction, gene expression and the disease response of wheat lines overexpressing TaNACL-D1. TaNACL-D1 is a Poaceae-divergent NAC transcription factor that encodes a Triticeae-specific protein C-terminal region with transcriptional activity and a nuclear localisation signal. The TaNACL-D1/TaFROG interaction was detected in yeast and confirmed in planta, within the nucleus. Analysis of multi-protein interactions indicated that TaFROG could form simultaneously distinct protein complexes with TaNACL-D1 and TaSnRK1α in planta. TaNACL-D1 and TaFROG are co-expressed as an early response to both the causal fungal agent of FHB, Fusarium graminearum and its virulence factor deoxynivalenol (DON). Wheat lines overexpressing TaNACL-D1 were more resistant to FHB disease than wild type plants. Thus, we conclude that the orphan protein TaFROG interacts with TaNACL-D1, a NAC transcription factor that forms part of the disease response evolved within the Triticeae.
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Affiliation(s)
- Alexandre Perochon
- UCD School of Biology and Environmental Science and Earth InstituteCollege of ScienceUniversity College DublinBelfield, Dublin 4Ireland
| | - Amal Kahla
- UCD School of Biology and Environmental Science and Earth InstituteCollege of ScienceUniversity College DublinBelfield, Dublin 4Ireland
| | - Monika Vranić
- UCD School of Biology and Environmental Science and Earth InstituteCollege of ScienceUniversity College DublinBelfield, Dublin 4Ireland
| | - Jianguang Jia
- UCD School of Biology and Environmental Science and Earth InstituteCollege of ScienceUniversity College DublinBelfield, Dublin 4Ireland
| | - Keshav B. Malla
- UCD School of Biology and Environmental Science and Earth InstituteCollege of ScienceUniversity College DublinBelfield, Dublin 4Ireland
| | | | | | - Fiona M. Doohan
- UCD School of Biology and Environmental Science and Earth InstituteCollege of ScienceUniversity College DublinBelfield, Dublin 4Ireland
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15
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Xie C, Bekpen C, Künzel S, Keshavarz M, Krebs-Wheaton R, Skrabar N, Ullrich KK, Tautz D. A de novo evolved gene in the house mouse regulates female pregnancy cycles. eLife 2019; 8:44392. [PMID: 31436535 PMCID: PMC6760900 DOI: 10.7554/elife.44392] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2018] [Accepted: 08/21/2019] [Indexed: 12/16/2022] Open
Abstract
The de novo emergence of new genes has been well documented through genomic analyses. However, a functional analysis, especially of very young protein-coding genes, is still largely lacking. Here, we identify a set of house mouse-specific protein-coding genes and assess their translation by ribosome profiling and mass spectrometry data. We functionally analyze one of them, Gm13030, which is specifically expressed in females in the oviduct. The interruption of the reading frame affects the transcriptional network in the oviducts at a specific stage of the estrous cycle. This includes the upregulation of Dcpp genes, which are known to stimulate the growth of preimplantation embryos. As a consequence, knockout females have their second litters after shorter times and have a higher infanticide rate. Given that Gm13030 shows no signs of positive selection, our findings support the hypothesis that a de novo evolved gene can directly adopt a function without much sequence adaptation. Different species have specific genes that set them apart from other species. Yet exactly how these species-specific genes originate is not fully known. The traditional view is that existing old genes are duplicated to make a ‘spare’ copy, which can change through mutations into a new gene with a new role gradually over time. Despite there being lots of evidence supporting this theory, not all new genes found in recent years can be traced back to older genes. This led to an alternative view – that recently evolved genes can also appear ‘de novo’, and come from regions of random DNA sequences that did not previously code for a protein. So far, the possibility of genes forming de novo during evolution has largely been supported by comparing and analyzing the genomes of related species. However, very little is known about the biological role these de novo genes play. Now, Xie et al. have generated a list of recently evolved de novo mouse genes, and carried out a detailed analysis of one de novo gene expressed in females at the time when embryos implant into the uterus wall. To study the role of this gene, Xie et al. created a strain of knock-out mice that have a defunct version of the protein coded by the gene. Loss of this protein caused female mice to have their second litter after a shorter period of time and increased the likelihood that female mice would terminate their newborn pups. This suggests that this newly discovered de novo gene is involved in regulating the female reproductive cycles of mice. Further analysis showed that this de novo gene counteracts the action of an older gene that promotes the implantation of embryos. This gene has therefore likely evolved due to the benefit it offers mothers, as it protects them from experiencing the increased physiological stress caused by a premature second pregnancy. These findings support the idea that genes which have evolved de novo can have an essential biological purpose despite coming from random DNA sequences. This establishes that de novo evolution of genes is the second major mechanism of how new genes with significant biological roles can form in the genome.
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Affiliation(s)
- Chen Xie
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Biology, Plön, Germany
| | - Cemalettin Bekpen
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Biology, Plön, Germany
| | - Sven Künzel
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Biology, Plön, Germany
| | - Maryam Keshavarz
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Biology, Plön, Germany
| | - Rebecca Krebs-Wheaton
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Biology, Plön, Germany
| | - Neva Skrabar
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Biology, Plön, Germany
| | - Kristian Karsten Ullrich
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Biology, Plön, Germany
| | - Diethard Tautz
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Biology, Plön, Germany
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16
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Affiliation(s)
- Stephen Branden Van Oss
- Department of Computational and Systems Biology, Pittsburgh Center for Evolutionary Biology and Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States of America
| | - Anne-Ruxandra Carvunis
- Department of Computational and Systems Biology, Pittsburgh Center for Evolutionary Biology and Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States of America
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17
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Dujon BA, Louis EJ. Genome Diversity and Evolution in the Budding Yeasts (Saccharomycotina). Genetics 2017; 206:717-750. [PMID: 28592505 PMCID: PMC5499181 DOI: 10.1534/genetics.116.199216] [Citation(s) in RCA: 79] [Impact Index Per Article: 9.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2016] [Accepted: 04/03/2017] [Indexed: 12/15/2022] Open
Abstract
Considerable progress in our understanding of yeast genomes and their evolution has been made over the last decade with the sequencing, analysis, and comparisons of numerous species, strains, or isolates of diverse origins. The role played by yeasts in natural environments as well as in artificial manufactures, combined with the importance of some species as model experimental systems sustained this effort. At the same time, their enormous evolutionary diversity (there are yeast species in every subphylum of Dikarya) sparked curiosity but necessitated further efforts to obtain appropriate reference genomes. Today, yeast genomes have been very informative about basic mechanisms of evolution, speciation, hybridization, domestication, as well as about the molecular machineries underlying them. They are also irreplaceable to investigate in detail the complex relationship between genotypes and phenotypes with both theoretical and practical implications. This review examines these questions at two distinct levels offered by the broad evolutionary range of yeasts: inside the best-studied Saccharomyces species complex, and across the entire and diversified subphylum of Saccharomycotina. While obviously revealing evolutionary histories at different scales, data converge to a remarkably coherent picture in which one can estimate the relative importance of intrinsic genome dynamics, including gene birth and loss, vs. horizontal genetic accidents in the making of populations. The facility with which novel yeast genomes can now be studied, combined with the already numerous available reference genomes, offer privileged perspectives to further examine these fundamental biological questions using yeasts both as eukaryotic models and as fungi of practical importance.
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Affiliation(s)
- Bernard A Dujon
- Department Genomes and Genetics, Institut Pasteur, Centre National de la Recherche Scientifique UMR3525, 75724-CEDEX15 Paris, France
- Université Pierre et Marie Curie UFR927, 75005 Paris, France
| | - Edward J Louis
- Centre for Genetic Architecture of Complex Traits, University of Leicester, LE1 7RH, United Kingdom
- Department of Genetics, University of Leicester, LE1 7RH, United Kingdom
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18
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McLysaght A, Hurst LD. Open questions in the study of de novo genes: what, how and why. Nat Rev Genet 2016; 17:567-78. [PMID: 27452112 DOI: 10.1038/nrg.2016.78] [Citation(s) in RCA: 136] [Impact Index Per Article: 15.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
The study of de novo protein-coding genes is maturing from the ad hoc reporting of individual cases to the systematic analysis of extensive genomic data from several species. We identify three key challenges for this emerging field: understanding how best to identify de novo genes, how they arise and why they spread. We highlight the intellectual challenges of understanding how a de novo gene becomes integrated into pre-existing functions and becomes essential. We suggest that, as with protein sequence evolution, antagonistic co-evolution may be key to de novo gene evolution, particularly for new essential genes and new cancer-associated genes.
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Affiliation(s)
- Aoife McLysaght
- The Smurfit Institute of Genetics, University of Dublin, Trinity College, Dublin 2, Ireland
| | - Laurence D Hurst
- The Milner Centre for Evolution, Department of Biology and Biochemistry, University of Bath, Bath, Somerset BA2 7AY, UK
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19
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McLysaght A, Guerzoni D. New genes from non-coding sequence: the role of de novo protein-coding genes in eukaryotic evolutionary innovation. Philos Trans R Soc Lond B Biol Sci 2016; 370:20140332. [PMID: 26323763 PMCID: PMC4571571 DOI: 10.1098/rstb.2014.0332] [Citation(s) in RCA: 100] [Impact Index Per Article: 11.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
The origin of novel protein-coding genes de novo was once considered so improbable as to be impossible. In less than a decade, and especially in the last five years, this view has been overturned by extensive evidence from diverse eukaryotic lineages. There is now evidence that this mechanism has contributed a significant number of genes to genomes of organisms as diverse as Saccharomyces, Drosophila, Plasmodium, Arabidopisis and human. From simple beginnings, these genes have in some instances acquired complex structure, regulated expression and important functional roles. New genes are often thought of as dispensable late additions; however, some recent de novo genes in human can play a role in disease. Rather than an extremely rare occurrence, it is now evident that there is a relatively constant trickle of proto-genes released into the testing ground of natural selection. It is currently unknown whether de novo genes arise primarily through an ‘RNA-first’ or ‘ORF-first’ pathway. Either way, evolutionary tinkering with this pool of genetic potential may have been a significant player in the origins of lineage-specific traits and adaptations.
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Affiliation(s)
- Aoife McLysaght
- Smurfit Institute of Genetics, University of Dublin, Trinity College Dublin, Dublin 2, Republic of Ireland
| | - Daniele Guerzoni
- Smurfit Institute of Genetics, University of Dublin, Trinity College Dublin, Dublin 2, Republic of Ireland
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20
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Digianantonio KM, Hecht MH. A protein constructed de novo enables cell growth by altering gene regulation. Proc Natl Acad Sci U S A 2016; 113:2400-5. [PMID: 26884172 PMCID: PMC4780649 DOI: 10.1073/pnas.1600566113] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Recent advances in protein design rely on rational and computational approaches to create novel sequences that fold and function. In contrast, natural systems selected functional proteins without any design a priori. In an attempt to mimic nature, we used large libraries of novel sequences and selected for functional proteins that rescue Escherichia coli cells in which a conditionally essential gene has been deleted. In this way, the de novo protein SynSerB3 was selected as a rescuer of cells in which serB, which encodes phosphoserine phosphatase, an enzyme essential for serine biosynthesis, was deleted. However, SynSerB3 does not rescue the deleted activity by catalyzing hydrolysis of phosphoserine. Instead, SynSerB3 up-regulates hisB, a gene encoding histidinol phosphate phosphatase. This endogenous E. coli phosphatase has promiscuous activity that, when overexpressed, compensates for the deletion of phosphoserine phosphatase. Thus, the de novo protein SynSerB3 rescues the deletion of serB by altering the natural regulation of the His operon.
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Affiliation(s)
| | - Michael H Hecht
- Department of Chemistry, Princeton University, Princeton, NJ 08540
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21
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Perochon A, Jianguang J, Kahla A, Arunachalam C, Scofield SR, Bowden S, Wallington E, Doohan FM. TaFROG Encodes a Pooideae Orphan Protein That Interacts with SnRK1 and Enhances Resistance to the Mycotoxigenic Fungus Fusarium graminearum. PLANT PHYSIOLOGY 2015; 169:2895-906. [PMID: 26508775 PMCID: PMC4677899 DOI: 10.1104/pp.15.01056] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/08/2015] [Accepted: 10/26/2015] [Indexed: 05/18/2023]
Abstract
All genomes encode taxonomically restricted orphan genes, and the vast majority are of unknown function. There is growing evidence that such genes play an important role in the environmental adaptation of taxa. We report the functional characterization of an orphan gene (Triticum aestivum Fusarium Resistance Orphan Gene [TaFROG]) as a component of resistance to the globally important wheat (T. aestivum) disease, Fusarium head blight. TaFROG is taxonomically restricted to the grass subfamily Pooideae. Gene expression studies showed that it is a component of the early wheat response to the mycotoxin deoxynivalenol (DON), which is a virulence factor produced by the causal fungal agent of Fusarium head blight, Fusarium graminearum. The temporal induction of TaFROG by F. graminearum in wheat spikelets correlated with the activation of the defense Triticum aestivum Pathogenesis-Related-1 (TaPR1) gene. But unlike TaPR1, TaFROG induction by F. graminearum was toxin dependent, as determined via comparative analysis of the effects of wild-type fungus and a DON minus mutant derivative. Using virus-induced gene silencing and overexpressing transgenic wheat lines, we present evidence that TaFROG contributes to host resistance to both DON and F. graminearum. TaFROG is an intrinsically disordered protein, and it localized to the nucleus. A wheat alpha subunit of the Sucrose Non-Fermenting1-Related Kinase1 was identified as a TaFROG-interacting protein based on a yeast two-hybrid study. In planta bimolecular fluorescence complementation assays confirmed the interaction. Thus, we conclude that TaFROG encodes a new Sucrose Non-Fermenting1-Related Kinase1-interacting protein and enhances biotic stress resistance.
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Affiliation(s)
- Alexandre Perochon
- University College Dublin Earth Institute and School of Biology and Environmental Science, College of Science, University College Dublin, Belfield, Dublin 4, Ireland (A.P., J.J., A.K., C.A., F.M.D.);United States Department of Agriculture, Agricultural Research Service, Crop Production and Pest Control Research Unit, and Purdue University, Department of Agronomy, West Lafayette, Indiana 47907-2054 (S.R.S.); andNational Institute of Agricultural Botany, Cambridge, CB3 0LE, United Kingdom (S.B., E.W.)
| | - Jia Jianguang
- University College Dublin Earth Institute and School of Biology and Environmental Science, College of Science, University College Dublin, Belfield, Dublin 4, Ireland (A.P., J.J., A.K., C.A., F.M.D.);United States Department of Agriculture, Agricultural Research Service, Crop Production and Pest Control Research Unit, and Purdue University, Department of Agronomy, West Lafayette, Indiana 47907-2054 (S.R.S.); andNational Institute of Agricultural Botany, Cambridge, CB3 0LE, United Kingdom (S.B., E.W.)
| | - Amal Kahla
- University College Dublin Earth Institute and School of Biology and Environmental Science, College of Science, University College Dublin, Belfield, Dublin 4, Ireland (A.P., J.J., A.K., C.A., F.M.D.);United States Department of Agriculture, Agricultural Research Service, Crop Production and Pest Control Research Unit, and Purdue University, Department of Agronomy, West Lafayette, Indiana 47907-2054 (S.R.S.); andNational Institute of Agricultural Botany, Cambridge, CB3 0LE, United Kingdom (S.B., E.W.)
| | - Chanemougasoundharam Arunachalam
- University College Dublin Earth Institute and School of Biology and Environmental Science, College of Science, University College Dublin, Belfield, Dublin 4, Ireland (A.P., J.J., A.K., C.A., F.M.D.);United States Department of Agriculture, Agricultural Research Service, Crop Production and Pest Control Research Unit, and Purdue University, Department of Agronomy, West Lafayette, Indiana 47907-2054 (S.R.S.); andNational Institute of Agricultural Botany, Cambridge, CB3 0LE, United Kingdom (S.B., E.W.)
| | - Steven R Scofield
- University College Dublin Earth Institute and School of Biology and Environmental Science, College of Science, University College Dublin, Belfield, Dublin 4, Ireland (A.P., J.J., A.K., C.A., F.M.D.);United States Department of Agriculture, Agricultural Research Service, Crop Production and Pest Control Research Unit, and Purdue University, Department of Agronomy, West Lafayette, Indiana 47907-2054 (S.R.S.); andNational Institute of Agricultural Botany, Cambridge, CB3 0LE, United Kingdom (S.B., E.W.)
| | - Sarah Bowden
- University College Dublin Earth Institute and School of Biology and Environmental Science, College of Science, University College Dublin, Belfield, Dublin 4, Ireland (A.P., J.J., A.K., C.A., F.M.D.);United States Department of Agriculture, Agricultural Research Service, Crop Production and Pest Control Research Unit, and Purdue University, Department of Agronomy, West Lafayette, Indiana 47907-2054 (S.R.S.); andNational Institute of Agricultural Botany, Cambridge, CB3 0LE, United Kingdom (S.B., E.W.)
| | - Emma Wallington
- University College Dublin Earth Institute and School of Biology and Environmental Science, College of Science, University College Dublin, Belfield, Dublin 4, Ireland (A.P., J.J., A.K., C.A., F.M.D.);United States Department of Agriculture, Agricultural Research Service, Crop Production and Pest Control Research Unit, and Purdue University, Department of Agronomy, West Lafayette, Indiana 47907-2054 (S.R.S.); andNational Institute of Agricultural Botany, Cambridge, CB3 0LE, United Kingdom (S.B., E.W.)
| | - Fiona M Doohan
- University College Dublin Earth Institute and School of Biology and Environmental Science, College of Science, University College Dublin, Belfield, Dublin 4, Ireland (A.P., J.J., A.K., C.A., F.M.D.);United States Department of Agriculture, Agricultural Research Service, Crop Production and Pest Control Research Unit, and Purdue University, Department of Agronomy, West Lafayette, Indiana 47907-2054 (S.R.S.); andNational Institute of Agricultural Botany, Cambridge, CB3 0LE, United Kingdom (S.B., E.W.)
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22
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Dujon B. Basic principles of yeast genomics, a personal recollection: Graphical Abstract Figure. FEMS Yeast Res 2015; 15:fov047. [DOI: 10.1093/femsyr/fov047] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/08/2015] [Indexed: 12/12/2022] Open
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