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Nucleic Acids Research | 2014

The Genome Database for Rosaceae (GDR): year 10 update

Sook Jung; Stephen P. Ficklin; Taein Lee; Chun-Huai Cheng; Anna Blenda; Ping Zheng; Jing Yu; Aureliano Bombarely; Il-Hyung Cho; Sushan Ru; Kate Evans; Cameron Peace; Albert G. Abbott; Lukas A. Mueller; Mercy A. Olmstead; Dorrie Main

The Genome Database for Rosaceae (GDR, http:/www.rosaceae.org), the long-standing central repository and data mining resource for Rosaceae research, has been enhanced with new genomic, genetic and breeding data, and improved functionality. Whole genome sequences of apple, peach and strawberry are available to browse or download with a range of annotations, including gene model predictions, aligned transcripts, repetitive elements, polymorphisms, mapped genetic markers, mapped NCBI Rosaceae genes, gene homologs and association of InterPro protein domains, GO terms and Kyoto Encyclopedia of Genes and Genomes pathway terms. Annotated sequences can be queried using search interfaces and visualized using GBrowse. New expressed sequence tag unigene sets are available for major genera, and Pathway data are available through FragariaCyc, AppleCyc and PeachCyc databases. Synteny among the three sequenced genomes can be viewed using GBrowse_Syn. New markers, genetic maps and extensively curated qualitative/Mendelian and quantitative trait loci are available. Phenotype and genotype data from breeding projects and genetic diversity projects are also included. Improved search pages are available for marker, trait locus, genetic diversity and publication data. New search tools for breeders enable selection comparison and assistance with breeding decision making.


BMC Bioinformatics | 2004

GDR (Genome Database for Rosaceae): integrated web resources for Rosaceae genomics and genetics research

Sook Jung; Christopher Jesudurai; Margaret Staton; Zhidian Du; Stephen P. Ficklin; Il-Hyung Cho; A. G. Abbott; Jeffrey Tomkins; Dorrie Main

BackgroundPeach is being developed as a model organism for Rosaceae, an economically important family that includes fruits and ornamental plants such as apple, pear, strawberry, cherry, almond and rose. The genomics and genetics data of peach can play a significant role in the gene discovery and the genetic understanding of related species. The effective utilization of these peach resources, however, requires the development of an integrated and centralized database with associated analysis tools.DescriptionThe Genome Database for Rosaceae (GDR) is a curated and integrated web-based relational database. GDR contains comprehensive data of the genetically anchored peach physical map, an annotated peach EST database, Rosaceae maps and markers and all publicly available Rosaceae sequences. Annotations of ESTs include contig assembly, putative function, simple sequence repeats, and anchored position to the peach physical map where applicable. Our integrated map viewer provides graphical interface to the genetic, transcriptome and physical mapping information. ESTs, BACs and markers can be queried by various categories and the search result sites are linked to the integrated map viewer or to the WebFPC physical map sites. In addition to browsing and querying the database, users can compare their sequences with the annotated GDR sequences via a dedicated sequence similarity server running either the BLAST or FASTA algorithm. To demonstrate the utility of the integrated and fully annotated database and analysis tools, we describe a case study where we anchored Rosaceae sequences to the peach physical and genetic map by sequence similarity.ConclusionsThe GDR has been initiated to meet the major deficiency in Rosaceae genomics and genetics research, namely a centralized web database and bioinformatics tools for data storage, analysis and exchange. GDR can be accessed at http://www.genome.clemson.edu/gdr/.


BMC Genomics | 2012

Whole genome comparisons of Fragaria, Prunus and Malus reveal different modes of evolution between Rosaceous subfamilies

Sook Jung; Alessandro Cestaro; Michela Troggio; Dorrie Main; Ping Zheng; Il-Hyung Cho; Kevin M. Folta; Bryon Sosinski; A. G. Abbott; Jean-Marc Celton; Pere Arús; Vladimir Shulaev; Ignazio Verde; Michele Morgante; Daniel S. Rokhsar; Riccardo Velasco; Daniel J. Sargent

BackgroundRosaceae include numerous economically important and morphologically diverse species. Comparative mapping between the member species in Rosaceae have indicated some level of synteny. Recently the whole genome of three crop species, peach, apple and strawberry, which belong to different genera of the Rosaceae family, have been sequenced, allowing in-depth comparison of these genomes.ResultsOur analysis using the whole genome sequences of peach, apple and strawberry identified 1399 orthologous regions between the three genomes, with a mean length of around 100 kb. Each peach chromosome showed major orthology mostly to one strawberry chromosome, but to more than two apple chromosomes, suggesting that the apple genome went through more chromosomal fissions in addition to the whole genome duplication after the divergence of the three genera. However, the distribution of contiguous ancestral regions, identified using the multiple genome rearrangements and ancestors (MGRA) algorithm, suggested that the Fragaria genome went through a greater number of small scale rearrangements compared to the other genomes since they diverged from a common ancestor. Using the contiguous ancestral regions, we reconstructed a hypothetical ancestral genome for the Rosaceae 7 composed of nine chromosomes and propose the evolutionary steps from the ancestral genome to the extant Fragaria, Prunus and Malus genomes.ConclusionOur analysis shows that different modes of evolution may have played major roles in different subfamilies of Rosaceae. The hypothetical ancestral genome of Rosaceae and the evolutionary steps that lead to three different lineages of Rosaceae will facilitate our understanding of plant genome evolution as well as have a practical impact on knowledge transfer among member species of Rosaceae.


BMC Genomics | 2009

Synteny of Prunus and other model plant species

Sook Jung; Derick Jiwan; Il-Hyung Cho; Taein Lee; A. G. Abbott; Bryon Sosinski; Dorrie Main

BackgroundFragmentary conservation of synteny has been reported between map-anchored Prunus sequences and Arabidopsis. With the availability of genome sequence for fellow rosid I members Populus and Medicago, we analyzed the synteny between Prunus and the three model genomes. Eight Prunus BAC sequences and map-anchored Prunus sequences were used in the comparison.ResultsWe found a well conserved synteny across the Prunus species – peach, plum, and apricot – and Populus using a set of homologous Prunus BACs. Conversely, we could not detect any synteny with Arabidopsis in this region. Other peach BACs also showed extensive synteny with Populus. The syntenic regions detected were up to 477 kb in Populus. Two syntenic regions between Arabidopsis and these BACs were much shorter, around 10 kb. We also found syntenic regions that are conserved between the Prunus BACs and Medicago. The array of synteny corresponded with the proposed whole genome duplication events in Populus and Medicago. Using map-anchored Prunus sequences, we detected many syntenic blocks with several gene pairs between Prunus and Populus or Arabidopsis. We observed a more complex network of synteny between Prunus-Arabidopsis, indicative of multiple genome duplication and subsequence gene loss in Arabidopsis.ConclusionOur result shows the striking microsynteny between the Prunus BACs and the genome of Populus and Medicago. In macrosynteny analysis, more distinct Prunus regions were syntenic to Populus than to Arabidopsis.


BMC Genomics | 2006

Synteny conservation between the Prunus genome and both the present and ancestral Arabidopsis genomes

Sook Jung; Dorrie Main; Margaret Staton; Il-Hyung Cho; Tatyana Zhebentyayeva; Pere Arús; A. G. Abbott

BackgroundDue to the lack of availability of large genomic sequences for peach or other Prunus species, the degree of synteny conservation between the Prunus species and Arabidopsis has not been systematically assessed. Using the recently available peach EST sequences that are anchored to Prunus genetic maps and to peach physical map, we analyzed the extent of conserved synteny between the Prunus and the Arabidopsis genomes. The reconstructed pseudo-ancestral Arabidopsis genome, existed prior to the proposed recent polyploidy event, was also utilized in our analysis to further elucidate the evolutionary relationship.ResultsWe analyzed the synteny conservation between the Prunus and the Arabidopsis genomes by comparing 475 peach ESTs that are anchored to Prunus genetic maps and their Arabidopsis homologs detected by sequence similarity. Microsyntenic regions were detected between all five Arabidopsis chromosomes and seven of the eight linkage groups of the Prunus reference map. An additional 1097 peach ESTs that are anchored to 431 BAC contigs of the peach physical map and their Arabidopsis homologs were also analyzed. Microsyntenic regions were detected in 77 BAC contigs. The syntenic regions from both data sets were short and contained only a couple of conserved gene pairs. The synteny between peach and Arabidopsis was fragmentary; all the Prunus linkage groups containing syntenic regions matched to more than two different Arabidopsis chromosomes, and most BAC contigs with multiple conserved syntenic regions corresponded to multiple Arabidopsis chromosomes. Using the same peach EST datasets and their Arabidopsis homologs, we also detected conserved syntenic regions in the pseudo-ancestral Arabidopsis genome. In many cases, the gene order and content of peach regions was more conserved in the ancestral genome than in the present Arabidopsis region. Statistical significance of each syntenic group was calculated using simulated Arabidopsis genome.ConclusionWe report here the result of the first extensive analysis of the conserved microsynteny using DNA sequences across the Prunus genome and their Arabidopsis homologs. Our study also illustrates that both the ancestral and present Arabidopsis genomes can provide a useful resource for marker saturation and candidate gene search, as well as elucidating evolutionary relationships between species.


Database | 2011

Tripal: a construction toolkit for online genome databases

Stephen P. Ficklin; Lacey-Anne Sanderson; Chun-Huai Cheng; Margaret Staton; Taein Lee; Il-Hyung Cho; Sook Jung; Kirstin E. Bett; Doreen Main

As the availability, affordability and magnitude of genomics and genetics research increases so does the need to provide online access to resulting data and analyses. Availability of a tailored online database is the desire for many investigators or research communities; however, managing the Information Technology infrastructure needed to create such a database can be an undesired distraction from primary research or potentially cost prohibitive. Tripal provides simplified site development by merging the power of Drupal, a popular web Content Management System with that of Chado, a community-derived database schema for storage of genomic, genetic and other related biological data. Tripal provides an interface that extends the content management features of Drupal to the data housed in Chado. Furthermore, Tripal provides a web-based Chado installer, genomic data loaders, web-based editing of data for organisms, genomic features, biological libraries, controlled vocabularies and stock collections. Also available are Tripal extensions that support loading and visualizations of NCBI BLAST, InterPro, Kyoto Encyclopedia of Genes and Genomes and Gene Ontology analyses, as well as an extension that provides integration of Tripal with GBrowse, a popular GMOD tool. An Application Programming Interface is available to allow creation of custom extensions by site developers, and the look-and-feel of the site is completely customizable through Drupal-based PHP template files. Addition of non-biological content and user-management is afforded through Drupal. Tripal is an open source and freely available software package found at http://tripal.sourceforge.net


technology of object oriented languages and systems | 1998

A protocol based approach to specifying interoperability between objects

Il-Hyung Cho; John D. McGregor; Lee Krause

Interoperability is the ability of two or more software modules to communicate and cooperate with each other. The interoperability problem arises when software developers want to reuse legacy software systems, or when software systems are componentized and these components need to be connected in order to work together. Software modules can be functions, objects, or components which consist of multiple functions or objects. We focus on the specification of software components in object oriented systems. Traditionally, interoperability checking is performed by signature matching between an invoking function and a function being invoked. Function level signature matching techniques are not sufficient for software components in object oriented systems since an object encapsulates a set of data and functions, and a component may contain more than one object. We first describe the interoperability problems of software modules both in the procedural and object oriented paradigms, and then review current approaches and compare them. Based on the review, we propose a new interoperable component model (ICM) that enhances software reusability and maintainability.


Tree Genetics & Genomes | 2012

Uniform standards for genome databases in forest and fruit trees

Jill L. Wegrzyn; Doreen Main; B. Figueroa; M. Choi; J. Yu; David B. Neale; Sook Jung; Taein Lee; M. Stanton; Ping Zheng; Stephen P. Ficklin; Il-Hyung Cho; Cameron Peace; Kate Evans; Gayle M. Volk; Nnadozie Oraguzie; Chunxian Chen; Mercy A. Olmstead; G. Gmitter; A. G. Abbott

TreeGenes and tree fruit Genome Database Resources serve the international forestry and fruit tree genomics research communities, respectively. These databases hold similar sequence data and provide resources for the submission and recovery of this information in order to enable comparative genomics research. Large-scale genotype and phenotype projects have recently spawned the development of independent tools and interfaces within these repositories to deliver information to both geneticists and breeders. The increase in next generation sequencing projects has increased the amount of data as well as the scale of analysis that can be performed. These two repositories are now working towards a similar goal of archiving the diverse, independent data sets generated from genotype/phenotype experiments. This is achieved through focused development on data input standards (templates), pipelines for the storage and automated curation, and consistent annotation efforts through the application of widely accepted ontologies to improve the extraction and exchange of the data for comparative analysis. Efforts towards standardization are not limited to genotype/phenotype experiments but are also being applied to other data types to improve gene prediction and annotation for de novo sequencing projects. The resources developed towards these goals represent the first large-scale coordinated effort in plant databases to add informatics value to diverse genotype/phenotype experiments.


Empirical Software Engineering | 1999

Collecting Metrics for CORBA-Based Distributed Systems

John D. McGregor; Il-Hyung Cho; Brian A. Malloy; E. Lowry Curry; Chanika Hobatr

The Common Object Request Broker Architecture (CORBA) supports the creation of distributed systems that cross processor, language and paradigm boundaries. These systems can be large and complex entities that consume considerable resources in their creation and execution. Measurements of characteristics of software systems is an important area of study in general and of particular interest for distributed systems. In this paper, we present a specific technique for instrumenting components in a distributed system. The technique constructs a wrapper around the component being measured. The wrapper monitors interactions with the ORB (Object Request Broker) and other components. Each wrapper mimics the interface of the component that it is wrapping so that the remaining objects in the system do not need modification. Two approaches to wrapping the component are presented and contrasted. The result is an efficient and modular technique that can quickly be applied to a component.


BMC Research Notes | 2010

Comparative genomic sequence analysis of strawberry and other rosids reveals significant microsynteny

Sook Jung; Il-Hyung Cho; Bryon Sosinski; A. G. Abbott; Dorrie Main

BackgroundFragaria belongs to the Rosaceae, an economically important family that includes a number of important fruit producing genera such as Malus and Prunus. Using genomic sequences from 50 Fragaria fosmids, we have examined the microsynteny between Fragaria and other plant models.ResultsIn more than half of the strawberry fosmids, we found syntenic regions that are conserved in Populus, Vitis, Medicago and/or Arabidopsis with Populus containing the greatest number of syntenic regions with Fragaria. The longest syntenic region was between LG VIII of the poplar genome and the strawberry fosmid 72E18, where seven out of twelve predicted genes were collinear. We also observed an unexpectedly high level of conserved synteny between Fragaria (rosid I) and Vitis (basal rosid). One of the strawberry fosmids, 34E24, contained a cluster of R gene analogs (RGAs) with NBS and LRR domains. We detected clusters of RGAs with high sequence similarity to those in 34E24 in all the genomes compared. In the phylogenetic tree we have generated, all the NBS-LRR genes grouped together with Arabidopsis CNL-A type NBS-LRR genes. The Fragaria RGA grouped together with those of Vitis and Populus in the phylogenetic tree.ConclusionsOur analysis shows considerable microsynteny between Fragaria and other plant genomes such as Populus, Medicago, Vitis, and Arabidopsis to a lesser degree. We also detected a cluster of NBS-LRR type genes that are conserved in all the genomes compared.

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Sook Jung

Washington State University

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Taein Lee

Washington State University

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Stephen P. Ficklin

Washington State University

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Cameron Peace

Washington State University

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Ping Zheng

Washington State University

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Doreen Main

Washington State University

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Kate Evans

Washington State University

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