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Yu H, Li Y, Han W, Bao L, Liu F, Ma Y, Pu Z, Zeng Q, Zhang L, Bao Z, Wang S. Pan-evolutionary and regulatory genome architecture delineated by an integrated macro- and microsynteny approach. Nat Protoc 2024; 19:1623-1678. [PMID: 38514839 DOI: 10.1038/s41596-024-00966-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Accepted: 12/20/2023] [Indexed: 03/23/2024]
Abstract
The forthcoming massive genome data generated by the Earth BioGenome Project will open up a new era of comparative genomics, for which genome synteny analysis provides an important framework. Profiling genome synteny represents an essential step in elucidating genome architecture, regulatory blocks/elements and their evolutionary history. Here we describe PanSyn, ( https://github.com/yhw320/PanSyn ), the most comprehensive and up-to-date genome synteny pipeline, providing step-by-step instructions and application examples to demonstrate its usage. PanSyn inherits both basic and advanced functions from existing popular tools, offering a user-friendly, highly customized approach for genome macrosynteny analysis and integrated pan-evolutionary and regulatory analysis of genome architecture, which are not yet available in public synteny software or tools. The advantages of PanSyn include: (i) advanced microsynteny analysis by functional profiling of microsynteny genes and associated regulatory elements; (ii) comprehensive macrosynteny analysis, including the inference of karyotype evolution from ancestors to extant species; and (iii) functional integration of microsynteny and macrosynteny for pan-evolutionary profiling of genome architecture and regulatory blocks, as well as integration with external functional genomics datasets from three- or four-dimensional genome and ENCODE projects. PanSyn requires basic knowledge of the Linux environment and Perl programming language and the ability to access a computer cluster, especially for large-scale genomic comparisons. Our protocol can be easily implemented by a competent graduate student or postdoc and takes several days to weeks to execute for dozens to hundreds of genomes. PanSyn provides yet the most comprehensive and powerful tool for integrated evolutionary and functional genomics.
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Affiliation(s)
- Hongwei Yu
- Fang Zongxi Center for Marine Evo-Devo & MOE Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences, Ocean University of China, Qingdao, China
| | - Yuli Li
- Fang Zongxi Center for Marine Evo-Devo & MOE Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences, Ocean University of China, Qingdao, China.
- Laboratory for Marine Biology and Biotechnology, Laoshan Laboratory, Qingdao, China.
| | - Wentao Han
- Fang Zongxi Center for Marine Evo-Devo & MOE Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences, Ocean University of China, Qingdao, China
| | - Lisui Bao
- Institute of Evolution & Marine Biodiversity, Ocean University of China, Qingdao, China
| | - Fuyun Liu
- Fang Zongxi Center for Marine Evo-Devo & MOE Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences, Ocean University of China, Qingdao, China
| | - Yuanting Ma
- Fang Zongxi Center for Marine Evo-Devo & MOE Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences, Ocean University of China, Qingdao, China
| | - Zhongqi Pu
- Fang Zongxi Center for Marine Evo-Devo & MOE Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences, Ocean University of China, Qingdao, China
| | - Qifan Zeng
- Fang Zongxi Center for Marine Evo-Devo & MOE Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences, Ocean University of China, Qingdao, China
| | - Lingling Zhang
- Fang Zongxi Center for Marine Evo-Devo & MOE Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences, Ocean University of China, Qingdao, China
- Laboratory for Marine Biology and Biotechnology, Laoshan Laboratory, Qingdao, China
| | - Zhenmin Bao
- Fang Zongxi Center for Marine Evo-Devo & MOE Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences, Ocean University of China, Qingdao, China
- Southern Marine Science and Engineering Guangdong Laboratory, Guangzhou, China
- Key Laboratory of Tropical Aquatic Germplasm of Hainan Province, Sanya Oceanographic Institution, Ocean University of China, Sanya, China
- Laboratory for Marine Fisheries and Aquaculture, Laoshan Laboratory, Qingdao, China
| | - Shi Wang
- Fang Zongxi Center for Marine Evo-Devo & MOE Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences, Ocean University of China, Qingdao, China.
- Laboratory for Marine Biology and Biotechnology, Laoshan Laboratory, Qingdao, China.
- Southern Marine Science and Engineering Guangdong Laboratory, Guangzhou, China.
- Key Laboratory of Tropical Aquatic Germplasm of Hainan Province, Sanya Oceanographic Institution, Ocean University of China, Sanya, China.
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Fierro Morales JC, Xue Q, Roh-Johnson M. An evolutionary and physiological perspective on cell-substrate adhesion machinery for cell migration. Front Cell Dev Biol 2022; 10:943606. [PMID: 36092727 PMCID: PMC9453864 DOI: 10.3389/fcell.2022.943606] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Accepted: 07/25/2022] [Indexed: 11/13/2022] Open
Abstract
Cell-substrate adhesion is a critical aspect of many forms of cell migration. Cell adhesion to an extracellular matrix (ECM) generates traction forces necessary for efficient migration. One of the most well-studied structures cells use to adhere to the ECM is focal adhesions, which are composed of a multilayered protein complex physically linking the ECM to the intracellular actin cytoskeleton. Much of our understanding of focal adhesions, however, is primarily derived from in vitro studies in Metazoan systems. Though these studies provide a valuable foundation to the cell-substrate adhesion field, the evolution of cell-substrate adhesion machinery across evolutionary space and the role of focal adhesions in vivo are largely understudied within the field. Furthering investigation in these areas is necessary to bolster our understanding of the role cell-substrate adhesion machinery across Eukaryotes plays during cell migration in physiological contexts such as cancer and pathogenesis. In this review, we review studies of cell-substrate adhesion machinery in organisms evolutionary distant from Metazoa and cover the current understanding and ongoing work on how focal adhesions function in single and collective cell migration in an in vivo environment, with an emphasis on work that directly visualizes cell-substrate adhesions. Finally, we discuss nuances that ought to be considered moving forward and the importance of future investigation in these emerging fields for application in other fields pertinent to adhesion-based processes.
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Affiliation(s)
| | | | - Minna Roh-Johnson
- Department of Biochemistry, University of Utah, Salt Lake City, UT, United States
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3
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Touceda-Suárez M, Kita EM, Acemel RD, Firbas PN, Magri MS, Naranjo S, Tena JJ, Gómez-Skarmeta JL, Maeso I, Irimia M. Ancient Genomic Regulatory Blocks Are a Source for Regulatory Gene Deserts in Vertebrates after Whole-Genome Duplications. Mol Biol Evol 2020; 37:2857-2864. [PMID: 32421818 PMCID: PMC7530604 DOI: 10.1093/molbev/msaa123] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
We investigated how the two rounds of whole-genome duplication that occurred at the base of the vertebrate lineage have impacted ancient microsyntenic associations involving developmental regulators (known as genomic regulatory blocks, GRBs). We showed that the majority of GRBs identified in the last common ancestor of chordates have been maintained as a single copy in humans. We found evidence that dismantling of the duplicated GRB copies occurred early in vertebrate evolution often through the differential retention of the regulatory gene but loss of the bystander gene’s exonic sequences. Despite the large evolutionary scale, the presence of duplicated highly conserved noncoding regions provided unambiguous proof for this scenario for multiple ancient GRBs. Remarkably, the dismantling of ancient GRB duplicates has contributed to the creation of large gene deserts associated with regulatory genes in vertebrates, providing a potentially widespread mechanism for the origin of these enigmatic genomic traits.
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Affiliation(s)
- María Touceda-Suárez
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, pain
| | - Elizabeth M Kita
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, pain
| | - Rafael D Acemel
- Centro Andaluz de Biología del Desarrollo (CABD), CSIC-Universidad Pablo de Olavide-Junta de Andalucía, Seville, Spain
| | - Panos N Firbas
- Centro Andaluz de Biología del Desarrollo (CABD), CSIC-Universidad Pablo de Olavide-Junta de Andalucía, Seville, Spain
| | - Marta S Magri
- Centro Andaluz de Biología del Desarrollo (CABD), CSIC-Universidad Pablo de Olavide-Junta de Andalucía, Seville, Spain
| | - Silvia Naranjo
- Centro Andaluz de Biología del Desarrollo (CABD), CSIC-Universidad Pablo de Olavide-Junta de Andalucía, Seville, Spain
| | - Juan J Tena
- Centro Andaluz de Biología del Desarrollo (CABD), CSIC-Universidad Pablo de Olavide-Junta de Andalucía, Seville, Spain
| | - Jose Luis Gómez-Skarmeta
- Centro Andaluz de Biología del Desarrollo (CABD), CSIC-Universidad Pablo de Olavide-Junta de Andalucía, Seville, Spain
| | - Ignacio Maeso
- Centro Andaluz de Biología del Desarrollo (CABD), CSIC-Universidad Pablo de Olavide-Junta de Andalucía, Seville, Spain
| | - Manuel Irimia
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, pain.,Universitat Pompeu Fabra (UPF), Barcelona, Spain.,ICREA, Barcelona, Spain
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4
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McCole RB, Erceg J, Saylor W, Wu CT. Ultraconserved Elements Occupy Specific Arenas of Three-Dimensional Mammalian Genome Organization. Cell Rep 2019; 24:479-488. [PMID: 29996107 DOI: 10.1016/j.celrep.2018.06.031] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2017] [Revised: 05/09/2018] [Accepted: 06/07/2018] [Indexed: 12/23/2022] Open
Abstract
This study explores the relationship between three-dimensional genome organization and ultraconserved elements (UCEs), an enigmatic set of DNA elements that are perfectly conserved between the reference genomes of distantly related species. Examining both human and mouse genomes, we interrogate the relationship of UCEs to three features of chromosome organization derived from Hi-C studies. We find that UCEs are enriched within contact domains and, further, that the subset of UCEs within domains shared across diverse cell types are linked to kidney-related and neuronal processes. In boundaries, UCEs are generally depleted, with those that do overlap boundaries being overrepresented in exonic UCEs. Regarding loop anchors, UCEs are neither overrepresented nor underrepresented, but those present in loop anchors are enriched for splice sites. Finally, as the relationships between UCEs and human Hi-C features are conserved in mouse, our findings suggest that UCEs contribute to interspecies conservation of genome organization and, thus, genome stability.
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Affiliation(s)
- Ruth B McCole
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
| | - Jelena Erceg
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
| | - Wren Saylor
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
| | - Chao-Ting Wu
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA.
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5
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Harmston N, Ing-Simmons E, Tan G, Perry M, Merkenschlager M, Lenhard B. Topologically associating domains are ancient features that coincide with Metazoan clusters of extreme noncoding conservation. Nat Commun 2017; 8:441. [PMID: 28874668 PMCID: PMC5585340 DOI: 10.1038/s41467-017-00524-5] [Citation(s) in RCA: 123] [Impact Index Per Article: 17.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2016] [Accepted: 07/05/2017] [Indexed: 02/08/2023] Open
Abstract
Developmental genes in metazoan genomes are surrounded by dense clusters of conserved noncoding elements (CNEs). CNEs exhibit unexplained extreme levels of sequence conservation, with many acting as developmental long-range enhancers. Clusters of CNEs define the span of regulatory inputs for many important developmental regulators and have been described previously as genomic regulatory blocks (GRBs). Their function and distribution around important regulatory genes raises the question of how they relate to 3D conformation of these loci. Here, we show that clusters of CNEs strongly coincide with topological organisation, predicting the boundaries of hundreds of topologically associating domains (TADs) in human and Drosophila. The set of TADs that are associated with high levels of noncoding conservation exhibit distinct properties compared to TADs devoid of extreme noncoding conservation. The close correspondence between extreme noncoding conservation and TADs suggests that these TADs are ancient, revealing a regulatory architecture conserved over hundreds of millions of years. Metazoan genomes contain many clusters of conserved noncoding elements. Here, the authors provide evidence that these clusters coincide with distinct topologically associating domains in humans and Drosophila, revealing a conserved regulatory genomic architecture.
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Affiliation(s)
- Nathan Harmston
- Computational Regulatory Genomics, MRC London Institute of Medical Sciences, London, W12 0NN, UK. .,Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, London, W12 0NN, UK. .,Program in Cardiovascular and Metabolic Disease, Duke-NUS Graduate Medical School, 8 College Road, Singapore, 169857, Singapore.
| | - Elizabeth Ing-Simmons
- Computational Regulatory Genomics, MRC London Institute of Medical Sciences, London, W12 0NN, UK.,Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, London, W12 0NN, UK.,Lymphocyte Development, MRC London Institute of Medical Sciences, London, W12 0NN, UK
| | - Ge Tan
- Computational Regulatory Genomics, MRC London Institute of Medical Sciences, London, W12 0NN, UK.,Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, London, W12 0NN, UK
| | - Malcolm Perry
- Computational Regulatory Genomics, MRC London Institute of Medical Sciences, London, W12 0NN, UK.,Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, London, W12 0NN, UK
| | - Matthias Merkenschlager
- Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, London, W12 0NN, UK.,Lymphocyte Development, MRC London Institute of Medical Sciences, London, W12 0NN, UK
| | - Boris Lenhard
- Computational Regulatory Genomics, MRC London Institute of Medical Sciences, London, W12 0NN, UK. .,Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, London, W12 0NN, UK. .,Sars International Centre for Marine Molecular Biology, University of Bergen, N-5008, Bergen, Norway.
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6
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Tang H, Bomhoff MD, Briones E, Zhang L, Schnable JC, Lyons E. SynFind: Compiling Syntenic Regions across Any Set of Genomes on Demand. Genome Biol Evol 2015; 7:3286-98. [PMID: 26560340 PMCID: PMC4700967 DOI: 10.1093/gbe/evv219] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
The identification of conserved syntenic regions enables discovery of predicted
locations for orthologous and homeologous genes, even when no such gene is present.
This capability means that synteny-based methods are far more effective than sequence
similarity-based methods in identifying true-negatives, a necessity for studying gene
loss and gene transposition. However, the identification of syntenic regions requires
complex analyses which must be repeated for pairwise comparisons between any two
species. Therefore, as the number of published genomes increases, there is a growing
demand for scalable, simple-to-use applications to perform comparative genomic
analyses that cater to both gene family studies and genome-scale studies. We
implemented SynFind, a web-based tool that addresses this need. Given one query
genome, SynFind is capable of identifying conserved syntenic regions in any set of
target genomes. SynFind is capable of reporting per-gene information, useful for
researchers studying specific gene families, as well as genome-wide data sets of
syntenic gene and predicted gene locations, critical for researchers focused on
large-scale genomic analyses. Inference of syntenic homologs provides the basis for
correlation of functional changes around genes of interests between related
organisms. Deployed on the CoGe online platform, SynFind is connected to the genomic
data from over 15,000 organisms from all domains of life as well as supporting
multiple releases of the same organism. SynFind makes use of a powerful job execution
framework that promises scalability and reproducibility. SynFind can be accessed at
http://genomevolution.org/CoGe/SynFind.pl. A video tutorial of SynFind
using Phytophthrora as an example is available at http://www.youtube.com/watch?v=2Agczny9Nyc.
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Affiliation(s)
- Haibao Tang
- Center for Genomics and Biotechnology, Fujian Agriculture and Forestry University, Fuzhou, Fujian Province, China School of Plant Sciences, iPlant Collaborative, University of Arizona
| | - Matthew D Bomhoff
- School of Plant Sciences, iPlant Collaborative, University of Arizona
| | - Evan Briones
- School of Plant Sciences, iPlant Collaborative, University of Arizona
| | - Liangsheng Zhang
- Center for Genomics and Biotechnology, Fujian Agriculture and Forestry University, Fuzhou, Fujian Province, China
| | - James C Schnable
- Department of Agronomy and Horticulture, University of Nebraska, Lincoln
| | - Eric Lyons
- School of Plant Sciences, iPlant Collaborative, University of Arizona
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Copy number variants in patients with intellectual disability affect the regulation of ARX transcription factor gene. Hum Genet 2015; 134:1163-82. [PMID: 26337422 DOI: 10.1007/s00439-015-1594-x] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2015] [Accepted: 08/16/2015] [Indexed: 10/23/2022]
Abstract
Protein-coding mutations in the transcription factor-encoding gene ARX cause various forms of intellectual disability (ID) and epilepsy. In contrast, variations in surrounding non-coding sequences are correlated with milder forms of non-syndromic ID and autism and had suggested the importance of ARX gene regulation in the etiology of these disorders. We compile data on several novel and some already identified patients with or without ID that carry duplications of ARX genomic region and consider likely genetic mechanisms underlying the neurodevelopmental defects. We establish the long-range regulatory domain of ARX and identify its brain region-specific autoregulation. We conclude that neurodevelopmental disturbances in the patients may not simply arise from increased dosage due to ARX duplication. This is further exemplified by a small duplication involving a non-functional ARX copy, but with duplicated enhancers. ARX enhancers are located within a 504-kb region and regulate expression specifically in the forebrain in developing and adult zebrafish. Transgenic enhancer-reporter lines were used as in vivo tools to delineate a brain region-specific negative and positive autoregulation of ARX. We find autorepression of ARX in the telencephalon and autoactivation in the ventral thalamus. Fluorescently labeled brain regions in the transgenic lines facilitated the identification of neuronal outgrowth and pathfinding disturbances in the ventral thalamus and telencephalon that occur when arxa dosage is diminished. In summary, we have established a model for how breakpoints in long-range gene regulation alter the expression levels of a target gene brain region-specifically, and how this can cause subtle neuronal phenotypes relating to the etiology of associated neuropsychiatric disease.
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Genome-wide analysis of functional and evolutionary features of tele-enhancers. G3-GENES GENOMES GENETICS 2014; 4:579-93. [PMID: 24496725 PMCID: PMC4059231 DOI: 10.1534/g3.114.010447] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
We investigated sequence features of enhancers separated from their target gene by at least one intermediate gene/exon (named tele-enhancers in this study) and enhancers residing inside their target gene locus. In this study, we used whole genome enhancer maps and gene expression profiles to establish a large panel of tele-enhancers. By contrasting tele-enhancers to proximal enhancers targeting heart genes, we observed that heart tele-enhancers use unique regulatory mechanisms based on the cardiac transcription factors SRF, TEAD, and NKX-2.5, whereas proximal heart enhancers rely on GATA4 instead. A functional analysis showed that tele-enhancers preferentially regulate house-keeping genes and genes with a metabolic role during heart development. In addition, tele-enhancers are significantly more conserved than their proximal counterparts. Similar trends have been observed for non-heart tissues and cell types, suggesting that our findings represent general characteristics of tele-enhancers.
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SynChro: a fast and easy tool to reconstruct and visualize synteny blocks along eukaryotic chromosomes. PLoS One 2014; 9:e92621. [PMID: 24651407 PMCID: PMC3961402 DOI: 10.1371/journal.pone.0092621] [Citation(s) in RCA: 65] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2013] [Accepted: 02/25/2014] [Indexed: 01/20/2023] Open
Abstract
Reconstructing synteny blocks is an essential step in comparative genomics studies. Different methods were already developed to answer various needs such as genome (re-)annotation, identification of duplicated regions and whole genome duplication events or estimation of rearrangement rates. We present SynChro, a tool that reconstructs synteny blocks between pairwise comparisons of multiple genomes. SynChro is based on a simple algorithm that computes Reciprocal Best-Hits (RBH) to reconstruct the backbones of the synteny blocks and then automatically completes these blocks with non-RBH syntenic homologs. This approach has two main advantages: (i) synteny block reconstruction is fast (feasible on a desk computer for large eukaryotic genomes such as human) and (ii) synteny block reconstruction is straightforward as all steps are integrated (no need to run Blast or TribeMCL prior to reconstruction) and there is only one parameter to set up, the synteny block stringency . Benchmarks on three pairwise comparisons of genomes, representing three different levels of synteny conservation (Human/Mouse, Human/Zebra Finch and Human/Zebrafish) show that Synchro runs faster and performs at least as well as two other commonly used and more sophisticated tools (MCScanX and i-ADHoRe). In addition, SynChro provides the user with a rich set of graphical outputs including dotplots, chromosome paintings and detailed synteny maps to visualize synteny blocks with all homology relationships and synteny breakpoints with all included genetic features. SynChro is freely available under the BSD license at http://www.lcqb.upmc.fr/CHROnicle/SynChro.html.
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Harmston N, Baresic A, Lenhard B. The mystery of extreme non-coding conservation. Philos Trans R Soc Lond B Biol Sci 2013; 368:20130021. [PMID: 24218634 PMCID: PMC3826495 DOI: 10.1098/rstb.2013.0021] [Citation(s) in RCA: 47] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Regions of several dozen to several hundred base pairs of extreme conservation have been found in non-coding regions in all metazoan genomes. The distribution of these elements within and across genomes has suggested that many have roles as transcriptional regulatory elements in multi-cellular organization, differentiation and development. Currently, there is no known mechanism or function that would account for this level of conservation at the observed evolutionary distances. Previous studies have found that, while these regions are under strong purifying selection, and not mutational coldspots, deletion of entire regions in mice does not necessarily lead to identifiable changes in phenotype during development. These opposing findings lead to several questions regarding their functional importance and why they are under strong selection in the first place. In this perspective, we discuss the methods and techniques used in identifying and dissecting these regions, their observed patterns of conservation, and review the current hypotheses on their functional significance.
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Affiliation(s)
- Nathan Harmston
- Institute of Clinical Sciences, Faculty of Medicine, Imperial College London and MRC Clinical Sciences Centre, , Hammersmith Hospital Campus, Du Cane Road, London W12 0NN, UK
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11
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Ariza-Cosano A, Visel A, Pennacchio LA, Fraser HB, Gómez-Skarmeta JL, Irimia M, Bessa J. Differences in enhancer activity in mouse and zebrafish reporter assays are often associated with changes in gene expression. BMC Genomics 2012; 13:713. [PMID: 23253453 PMCID: PMC3541358 DOI: 10.1186/1471-2164-13-713] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2012] [Accepted: 12/14/2012] [Indexed: 01/18/2023] Open
Abstract
Background Phenotypic evolution in animals is thought to be driven in large part by differences in gene expression patterns, which can result from sequence changes in cis-regulatory elements (cis-changes) or from changes in the expression pattern or function of transcription factors (trans-changes). While isolated examples of trans-changes have been identified, the scale of their overall contribution to regulatory and phenotypic evolution remains unclear. Results Here, we attempt to examine the prevalence of trans-effects and their potential impact on gene expression patterns in vertebrate evolution by comparing the function of identical human tissue-specific enhancer sequences in two highly divergent vertebrate model systems, mouse and zebrafish. Among 47 human conserved non-coding elements (CNEs) tested in transgenic mouse embryos and in stable zebrafish lines, at least one species-specific expression domain was observed in the majority (83%) of cases, and 36% presented dramatically different expression patterns between the two species. Although some of these discrepancies may be due to the use of different transgenesis systems in mouse and zebrafish, in some instances we found an association between differences in enhancer activity and changes in the endogenous gene expression patterns between mouse and zebrafish, suggesting a potential role for trans-changes in the evolution of gene expression. Conclusions In total, our results: (i) serve as a cautionary tale for studies investigating the role of human enhancers in different model organisms, and (ii) suggest that changes in the trans environment may play a significant role in the evolution of gene expression in vertebrates.
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Affiliation(s)
- Ana Ariza-Cosano
- Centro Andaluz de Biología del Desarrollo (CABD), CSIC-Universidad Pablo de Olavide-Junta de Andalucía, Ctra. Utrera Km 1, Seville 41013, Spain
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12
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Gharbi N, Zhao XF, Ellingsen S, Fjose A. Zebrafish enhancer trap line showing maternal and neural expression of kctd15a. Dev Growth Differ 2012; 54:241-52. [DOI: 10.1111/j.1440-169x.2011.01326.x] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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13
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Mongin E, Dewar K, Blanchette M. Mapping association between long-range cis-regulatory regions and their target genes using synteny. J Comput Biol 2012; 18:1115-30. [PMID: 21899419 DOI: 10.1089/cmb.2011.0088] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
In chordates, long-range cis-regulatory regions are involved in the control of transcription initiation (either as repressors or enhancers). Their main characteristics are that (i) they can be located as far as 1 Mb away from the transcription start site of the target gene, (ii) they can regulate more than one gene, and (iii) they are usually orientation-independent. Therefore, proper characterization of functional interactions between long-range cis-regulatory regions and their target genes remains problematic. We present a novel method to predict such interactions based on the analysis of rearrangements between the human and 16 other vertebrate genomes. Our method is based on the assumption that genome rearrangements that would disrupt the functional interaction between a cis-regulatory region and its target gene are likely to be deleterious. Therefore, conservation of synteny through evolution would be an indication of a functional interaction. We use our algorithm to predict the association between a set of 123,905 human candidate regulatory regions to their target gene(s). This genome-wide map of interactions has many potential applications, including the selection of candidate regions prior to in vivo experimental characterization, a better characterization of regulatory regions involved in position effect diseases, and an improved understanding of the mechanisms and importance of long-range regulation.
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Affiliation(s)
- Emmanuel Mongin
- McGill Centre for Bioinformatics, McGill University, Montreal, Quebec, Canada
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14
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Irimia M, Maeso I, Burguera D, Hidalgo-Sánchez M, Puelles L, Roy SW, Garcia-Fernàndez J, Ferran JL. Contrasting 5' and 3' evolutionary histories and frequent evolutionary convergence in Meis/hth gene structures. Genome Biol Evol 2011; 3:551-64. [PMID: 21680890 PMCID: PMC3140891 DOI: 10.1093/gbe/evr056] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
Abstract
Organisms show striking differences in genome structure; however, the functional implications and fundamental forces that govern these differences remain obscure. The intron–exon organization of nuclear genes is involved in a particularly large variety of structures and functional roles. We performed a 22-species study of Meis/hth genes, intron-rich homeodomain-containing transcription factors involved in a wide range of developmental processes. Our study revealed three surprising results that suggest important and very different functions for Meis intron–exon structures. First, we find unexpected conservation across species of intron positions and lengths along most of the Meis locus. This contrasts with the high degree of structural divergence found in genome-wide studies and may attest to conserved regulatory elements residing within these conserved introns. Second, we find very different evolutionary histories for the 5′ and 3′ regions of the gene. The 5′-most 10 exons, which encode the highly conserved Meis domain and homeodomain, show striking conservation. By contrast, the 3′ of the gene, which encodes several domains implicated in transcriptional activation and response to cell signaling, shows a remarkably active evolutionary history, with diverse isoforms and frequent creation and loss of new exons and splice sites. This region-specific diversity suggests evolutionary “tinkering,” with alternative splicing allowing for more subtle regulation of protein function. Third, we find a large number of cases of convergent evolution in the 3′ region, including 1) parallel losses of ancestral coding sequence, 2) parallel gains of external and internal splice sites, and 3) recurrent truncation of C-terminal coding regions. These results attest to the importance of locus-specific splicing functions in differences in structural evolution across genes, as well as to commonalities of forces shaping the evolution of individual genes along different lineages.
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Affiliation(s)
- Manuel Irimia
- Department of Genetics, School of Biology, University of Barcelona, Barcelona, Spain.
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Genomic features and computational identification of human microRNAs under long-range developmental regulation. BMC Genomics 2011; 12:270. [PMID: 21619633 PMCID: PMC3123655 DOI: 10.1186/1471-2164-12-270] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2011] [Accepted: 05/27/2011] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Recent functional studies have demonstrated that many microRNAs (miRNAs) are expressed by RNA polymerase II in a specific spatiotemporal manner during the development of organisms and play a key role in cell-lineage decisions and morphogenesis. They are therefore functionally related to a number of key protein coding developmental genes, that form genomic regulatory blocks (GRBs) with arrays of highly conserved non-coding elements (HCNEs) functioning as long-range enhancers that collaboratively regulate the expression of their target genes. Given this functional similarity as well as recent zebrafish transgenesis assays showing that the miR-9 family is indeed regulated by HCNEs with enhancer activity, we hypothesized that this type of miRNA regulation is prevalent. In this paper, we therefore systematically investigate the regulatory landscape around conserved self-transcribed miRNAs (ST miRNAs), with their own known or computationally inferred promoters, by analyzing the hallmarks of GRB target genes. These include not only the density of HCNEs in their vicinity but also the presence of large CpG islands (CGIs) and distinct patterns of histone modification marks associated with developmental genes. RESULTS Our results show that a subset of the conserved ST miRNAs we studied shares properties similar to those of protein-coding GRB target genes: they are located in regions of significantly higher HCNE/enhancer binding density and are more likely to be associated with CGIs. Furthermore, their putative promoters have both activating as well as silencing histone modification marks during development and differentiation. Based on these results we used both an elevated HCNE density in the genomic vicinity as well as the presence of a bivalent promoter to identify 29 putative GRB target miRNAs/miRNA clusters, over two-thirds of which are known to play a role during development and differentiation. Furthermore these predictions include miRNAs of the miR-9 family, which are the only experimentally verified GRB target miRNAs. CONCLUSIONS A subset of the conserved miRNA loci we investigated exhibits typical characteristics of GRB target genes, which may partially explain their complex expression profiles during development.
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Abstract
Zebrafish offers significant opportunities for the investigation of vertebrate development, evolution, physiology, and behavior and provides numerous models of human disease. Connecting zebrafish phenogenetic biology to that of humans and other vertebrates, however, requires the proper assignment of gene orthologies. Orthology assignments by phylogenetic analysis or by reciprocal best sequence similarity searches can lead to errors, especially in cases of gene duplication followed by gene loss or rapid lineage-specific gene evolution. Conserved synteny analysis provides a method that helps overcome such problems. Here we describe conserved synteny analysis for zebrafish genes and discuss the Synteny Database, a website specifically designed to identify conserved syntenies for zebrafish that takes into account the teleost genome duplication (TGD). We utilize the Synteny Database to demonstrate its power to resolve our understanding of the evolution of nerve growth factor receptor related genes, including Ngfr and the enigmatic Nradd. Finally, we compare conserved syntenies between zebrafish, stickleback, spotted gar, and human to understand the timing of chromosome rearrangements in teleost genome evolution. An improved understanding of gene histories that comes from the application of tools provided by the Synteny Database can facilitate the connectivity of zebrafish and human genomes.
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Affiliation(s)
- Julian M Catchen
- University of Oregon, Center for Ecology and Evolutionary Biology, Eugene Oregon, USA
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17
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When needles look like hay: how to find tissue-specific enhancers in model organism genomes. Dev Biol 2010; 350:239-54. [PMID: 21130761 DOI: 10.1016/j.ydbio.2010.11.026] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2010] [Revised: 11/11/2010] [Accepted: 11/22/2010] [Indexed: 01/22/2023]
Abstract
A major prerequisite for the investigation of tissue-specific processes is the identification of cis-regulatory elements. No generally applicable technique is available to distinguish them from any other type of genomic non-coding sequence. Therefore, researchers often have to identify these elements by elaborate in vivo screens, testing individual regions until the right one is found. Here, based on many examples from the literature, we summarize how functional enhancers have been isolated from other elements in the genome and how they have been characterized in transgenic animals. Covering computational and experimental studies, we provide an overview of the global properties of cis-regulatory elements, like their specific interactions with promoters and target gene distances. We describe conserved non-coding elements (CNEs) and their internal structure, nucleotide composition, binding site clustering and overlap, with a special focus on developmental enhancers. Conflicting data and unresolved questions on the nature of these elements are highlighted. Our comprehensive overview of the experimental shortcuts that have been found in the different model organism communities and the new field of high-throughput assays should help during the preparation phase of a screen for enhancers. The review is accompanied by a list of general guidelines for such a project.
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Rinkwitz S, Mourrain P, Becker TS. Zebrafish: an integrative system for neurogenomics and neurosciences. Prog Neurobiol 2010; 93:231-43. [PMID: 21130139 DOI: 10.1016/j.pneurobio.2010.11.003] [Citation(s) in RCA: 71] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2010] [Revised: 11/08/2010] [Accepted: 11/22/2010] [Indexed: 10/18/2022]
Abstract
Rapid technological advances over the past decade have moved us closer to a high throughput molecular approach to neurobiology, where we see the merging of neurogenetics, genomics, physiology, imaging and pharmacology. This is the case more in zebrafish than in any other model organism commonly used. Recent improvements in the generation of transgenic zebrafish now allow genetic manipulation and live imaging of neuronal development and function in early embryonic, larval, and adult animals. The sequenced zebrafish genome and comparative genomics give unprecedented insights into genome evolution and its relation to genome structure and function. There is now information on embryonic and larval expression of over 12,000 genes and just under 1000 mutant phenotypes. We review the remarkable similarity of the zebrafish genetic blueprint for the nervous system to that of mammals and assess recent technological advances that make the zebrafish a model of choice for elucidating the development and function of neuronal circuitry, transgene-based neuroanatomy, and small molecule neuropharmacology.
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Affiliation(s)
- Silke Rinkwitz
- Brain and Mind Research Institute, Sydney Medical School, University of Sydney, 100 Mallett St., Camperdown, NSW 2050, Australia
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Muffato M, Louis A, Poisnel CE, Roest Crollius H. Genomicus: a database and a browser to study gene synteny in modern and ancestral genomes. Bioinformatics 2010; 26:1119-1121. [PMID: 20185404 PMCID: PMC2853686 DOI: 10.1093/bioinformatics%2fbtq079] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2009] [Revised: 02/15/2010] [Accepted: 02/19/2010] [Indexed: 07/03/2023] Open
Abstract
UNLABELLED Comparative genomics remains a pivotal strategy to study the evolution of gene organization, and this primacy is reinforced by the growing number of full genome sequences available in public repositories. Despite this growth, bioinformatic tools available to visualize and compare genomes and to infer evolutionary events remain restricted to two or three genomes at a time, thus limiting the breadth and the nature of the question that can be investigated. Here we present Genomicus, a new synteny browser that can represent and compare unlimited numbers of genomes in a broad phylogenetic view. In addition, Genomicus includes reconstructed ancestral gene organization, thus greatly facilitating the interpretation of the data. AVAILABILITY Genomicus is freely available for online use at http://www.dyogen.ens.fr/genomicus while data can be downloaded at ftp://ftp.biologie.ens.fr/pub/dyogen/genomicus.
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Affiliation(s)
- Matthieu Muffato
- Dyogen Group, Institut de Biologie de l'Ecole Normale Supérieure (IBENS), Centre National de la Recherche Scientifique UMR8197, Institut National de la Santé et de la Recherche Médicale U1024, 75005 Paris, France
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Muffato M, Louis A, Poisnel CE, Roest Crollius H. Genomicus: a database and a browser to study gene synteny in modern and ancestral genomes. Bioinformatics 2010; 26:1119-21. [PMID: 20185404 PMCID: PMC2853686 DOI: 10.1093/bioinformatics/btq079] [Citation(s) in RCA: 173] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
Summary: Comparative genomics remains a pivotal strategy to study the evolution of gene organization, and this primacy is reinforced by the growing number of full genome sequences available in public repositories. Despite this growth, bioinformatic tools available to visualize and compare genomes and to infer evolutionary events remain restricted to two or three genomes at a time, thus limiting the breadth and the nature of the question that can be investigated. Here we present Genomicus, a new synteny browser that can represent and compare unlimited numbers of genomes in a broad phylogenetic view. In addition, Genomicus includes reconstructed ancestral gene organization, thus greatly facilitating the interpretation of the data. Availability: Genomicus is freely available for online use at http://www.dyogen.ens.fr/genomicus while data can be downloaded at ftp://ftp.biologie.ens.fr/pub/dyogen/genomicus Contact:hrc@biologie.ens.fr
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Affiliation(s)
- Matthieu Muffato
- Dyogen Group, Institut de Biologie de l'Ecole Normale Supérieure (IBENS), Centre National de la Recherche Scientifique UMR8197, Institut National de la Santé et de la Recherche Médicale U1024, 75005 Paris, France
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21
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Dong X, Akalin A, Sharma Y, Lenhard B. Translog, a web browser for studying the expression divergence of homologous genes. BMC Bioinformatics 2010; 11 Suppl 1:S59. [PMID: 20122234 PMCID: PMC3009532 DOI: 10.1186/1471-2105-11-s1-s59] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
Abstract
Background Increasing amount of data from comparative genomics, and newly developed technologies producing accurate gene expression data facilitate the study of the expression divergence of homologous genes. Previous studies have individually highlighted factors that contribute to the expression divergence of duplicate genes, e.g. promoter changes, exon structure heterogeneity, asymmetric histone modifications and genomic neighborhood conservation. However, there is a lack of a tool to integrate multiple factors and visualize their variety among homologous genes in a straightforward way. Results We introduce Translog (a web-based tool for Transcriptome comparison of homologous genes) that assists in the comparison of homologous genes by displaying the loci in three different views: promoter view for studying the sharing/turnover of transcription initiations, exon structure for displaying the exon-intron structure changes, and genomic neighborhood to show the macro-synteny conservation in a larger scale. CAGE data for transcription initiation are mapped for each transcript and can be used to study transcription turnover and expression changes. Alignment anchors between homologous loci can be used to define the precise homologous transcripts. We demonstrate how these views can be used to visualize the changes of homologous genes during evolution, particularly after the 2R and 3R whole genome duplication. Conclusion We have developed a web-based tool for assisting in the transcriptome comparison of homologous genes, facilitating the study of expression divergence.
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Dong X, Navratilova P, Fredman D, Drivenes Ø, Becker TS, Lenhard B. Exonic remnants of whole-genome duplication reveal cis-regulatory function of coding exons. Nucleic Acids Res 2009; 38:1071-85. [PMID: 19969543 PMCID: PMC2831330 DOI: 10.1093/nar/gkp1124] [Citation(s) in RCA: 41] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
Using a comparative genomics approach to reconstruct the fate of genomic regulatory blocks (GRBs) and identify exonic remnants that have survived the disappearance of their host genes after whole-genome duplication (WGD) in teleosts, we discover a set of 38 candidate cis-regulatory coding exons (RCEs) with predicted target genes. These elements demonstrate evolutionary separation of overlapping protein-coding and regulatory information after WGD in teleosts. We present evidence that the corresponding mammalian exons are still under both coding and non-coding selection pressure, are more conserved than other protein coding exons in the host gene and several control sets, and share key characteristics with highly conserved non-coding elements in the same regions. Their dual function is corroborated by existing experimental data. Additionally, we show examples of human exon remnants stemming from the vertebrate 2R WGD. Our findings suggest that long-range cis-regulatory inputs for developmental genes are not limited to non-coding regions, but can also overlap the coding sequence of unrelated genes. Thus, exonic regulatory elements in GRBs might be functionally equivalent to those in non-coding regions, calling for a re-evaluation of the sequence space in which to look for long-range regulatory elements and experimentally test their activity.
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Affiliation(s)
- Xianjun Dong
- Computational Biology Unit, Bergen Center for Computational Science, University of Bergen, Thormøhlensgate 55, N-5008 Bergen, Norway
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