Dynacom Co.

Kōbe-shi, Japan

Dynacom Co.

Kōbe-shi, Japan

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Ohyanagi H.,National Institute of Genetics | Ohyanagi H.,Meiji University | Ohyanagi H.,Mitsubishi Group | Ohyanagi H.,King Abdullah University of Science and Technology | And 18 more authors.
Plant and Cell Physiology | Year: 2016

The species in the genus Oryza, encompassing nine genome types and 23 species, are a rich genetic resource and may have applications in deeper genomic analyses aiming to understand the evolution of plant genomes. With the advancement of next-generation sequencing (NGS) technology, a flood of Oryza species reference genomes and genomic variation information has become available in recent years. This genomic information, combined with the comprehensive phenotypic information that we are accumulating in our Oryzabase, can serve as an excellent genotype-phenotype association resource for analyzing rice functional and structural evolution, and the associated diversity of the Oryza genus. Here we integrate our previous and future phenotypic/habitat information and newly determined genotype information into a united repository, named OryzaGenome, providing the variant information with hyperlinks to Oryzabase. The current version of OryzaGenome includes genotype information of 446 O. rufipogon accessions derived by imputation and of 17 accessions derived by imputation-free deep sequencing. Two variant viewers are implemented: SNP Viewer as a conventional genome browser interface and Variant Table as a textbased browser for precise inspection of each variant one by one. Portable VCF (variant call format) file or tabdelimited file download is also available. Following these SNP (single nucleotide polymorphism) data, reference pseudomolecules/ scaffolds/contigs and genome-wide variation information for almost all of the closely and distantly related wild Oryza species from the NIG Wild Rice Collection will be available in future releases. All of the resources can be accessed through http://viewer.shigen.info/oryzagenome/. © The Author 2015.


Kunihisa M.,Japan National Agriculture and Food Research Organization | Moriya S.,Japan National Agriculture and Food Research Organization | Abe K.,Japan National Agriculture and Food Research Organization | Okada K.,Japan National Agriculture and Food Research Organization | And 14 more authors.
Breeding Science | Year: 2016

‘Fuji’ is one of the most popular and highly-produced apple cultivars worldwide, and has been frequently used in breeding programs. The development of genotypic markers for the preferable phenotypes of ‘Fuji’ is required. Here, we aimed to define the haplotypes of ‘Fuji’ and find associations between haplotypes and phenotypes of five traits (harvest day, fruit weight, acidity, degree of watercore, and flesh mealiness) by using 115 accessions related to ‘Fuji’. Through the re-sequencing of ‘Fuji’ genome, total of 2,820,759 variants, including single nucleotide polymorphisms (SNPs) and insertions or deletions (indels) were detected between ‘Fuji’ and ‘Golden Delicious’ reference genome. We selected mapping-validated 1,014 SNPs, most of which were heterozygous in ‘Fuji’ and capable of distinguishing alleles inherited from the parents of ‘Fuji’ (i.e., ‘Ralls Janet’ and ‘Delicious’). We used these SNPs to define the haplotypes of ‘Fuji’ and trace their inheritance in relatives, which were shown to have an average of 27% of ‘Fuji’ genome. Analysis of variance (ANOVA) based on ‘Fuji’ haplotypes identified one quantitative trait loci (QTL) each for harvest time, acidity, degree of watercore, and mealiness. A haplotype from ‘Delicious’ chr14 was considered to dominantly cause watercore, and one from ‘Ralls Janet’ chr1 was related to low-mealiness. © 2016, Japanese Society of Breeding. All rights reserved.


PubMed | Chinese Academy of Sciences, DYNACOM Co., National Institute of Genetics, Graduate University for Advanced Studies and King Abdullah University of Science and Technology
Type: Journal Article | Journal: Plant & cell physiology | Year: 2016

The species in the genus Oryza, encompassing nine genome types and 23 species, are a rich genetic resource and may have applications in deeper genomic analyses aiming to understand the evolution of plant genomes. With the advancement of next-generation sequencing (NGS) technology, a flood of Oryza species reference genomes and genomic variation information has become available in recent years. This genomic information, combined with the comprehensive phenotypic information that we are accumulating in our Oryzabase, can serve as an excellent genotype-phenotype association resource for analyzing rice functional and structural evolution, and the associated diversity of the Oryza genus. Here we integrate our previous and future phenotypic/habitat information and newly determined genotype information into a united repository, named OryzaGenome, providing the variant information with hyperlinks to Oryzabase. The current version of OryzaGenome includes genotype information of 446 O. rufipogon accessions derived by imputation and of 17 accessions derived by imputation-free deep sequencing. Two variant viewers are implemented: SNP Viewer as a conventional genome browser interface and Variant Table as a text-based browser for precise inspection of each variant one by one. Portable VCF (variant call format) file or tab-delimited file download is also available. Following these SNP (single nucleotide polymorphism) data, reference pseudomolecules/scaffolds/contigs and genome-wide variation information for almost all of the closely and distantly related wild Oryza species from the NIG Wild Rice Collection will be available in future releases. All of the resources can be accessed through http://viewer.shigen.info/oryzagenome/.


Uchiyama I.,Japan National Institute for Basic Biology | Mihara M.,Dynacom Co. | Nishide H.,Japan National Institute for Basic Biology | Chiba H.,Japan National Institute for Basic Biology
Nucleic Acids Research | Year: 2015

The microbial genome database for comparative analysis (MBGD) (available at http://mbgd.genome. ad.jp/) is a comprehensive ortholog database for flexible comparative analysis of microbial genomes, where the users are allowed to create an ortholog table among any specified set of organisms. Because of the rapid increase in microbial genome data owing to the next-generation sequencing technology, it becomes increasingly challenging to maintain high-quality orthology relationships while allowing the users to incorporate the latest genomic data available into an analysis. Because many of the recently accumulating genomic data are draft genome sequences for which some complete genome sequences of the same or closely related species are available, MBGD now stores draft genome data and allows the users to incorporate them into a userspecific ortholog database using the MyMBGD functionality. In this function, draft genome data are incorporated into an existing ortholog table created only from the complete genome data in an incremental manner to prevent low-quality draft data from affecting clustering results. In addition, to provide high-quality orthology relationships, the standard ortholog table containing all the representative genomes, which is first created by the rapid classification program DomClust, is now refined using DomRefine, a recently developed program for improving domain-level clustering using multiple sequence alignment information. © The Author(s) 2014.


Uchiyama I.,National Institutes of Natural science | Uchiyama I.,Japan National Institute for Basic Biology | Mihara M.,Dynacom Co. | Nishide H.,Japan National Institute for Basic Biology | Chiba H.,National Institutes of Natural science
Nucleic Acids Research | Year: 2013

The microbial genome database for comparative analysis (MBGD, available at http://mbgd.genome.ad.jp/) is a platform for microbial genome comparison based on orthology analysis. As its unique feature, MBGD allows users to conduct orthology analysis among any specified set of organisms; this flexibility allows MBGD to adapt to a variety of microbial genomic study. Reflecting the huge diversity of microbial world, the number of microbial genome projects now becomes several thousands. To efficiently explore the diversity of the entire mi-crobial genomic data, MBGD now provides summary pages for pre-calculated ortholog tables among various taxonomic groups. For some closely related taxa, MBGD also provides the conserved synteny information (core genome alignment) pre-calculated using the CoreAligner program. In addition, efficient incremental updating procedure can create extended ortholog table by adding additional genomes to the default ortholog table generated from the representative set of genomes. Combining with the functionalities of the dynamic orthology calculation of any specified set of organisms, MBGD is an efficient and flexible tool for exploring the microbial genome diversity. © The Author(s) 2012.


PubMed | Dynacom Co. and Japan National Institute for Basic Biology
Type: Journal Article | Journal: Nucleic acids research | Year: 2015

The microbial genome database for comparative analysis (MBGD)(available at http://mbgd.genome.ad.jp/) is a comprehensive ortholog database for flexible comparative analysis of microbial genomes, where the users are allowed to create an ortholog table among any specified set of organisms. Because of the rapid increase in microbial genome data owing to the next-generation sequencing technology, it becomes increasingly challenging to maintain high-quality orthology relationships while allowing the users to incorporate the latest genomic data available into an analysis. Because many of the recently accumulating genomic data are draft genome sequences for which some complete genome sequences of the same or closely related species are available, MBGD now stores draft genome data and allows the users to incorporate them into a user-specific ortholog database using the MyMBGD functionality. In this function, draft genome data are incorporated into an existing ortholog table created only from the complete genome data in an incremental manner to prevent low-quality draft data from affecting clustering results. In addition, to provide high-quality orthology relationships, the standard ortholog table containing all the representative genomes, which is first created by the rapid classification program DomClust, is now refined using DomRefine, a recently developed program for improving domain-level clustering using multiple sequence alignment information.


Nagano A.J.,Japan National Institute of Agrobiological Science | Nagano A.J.,Kyoto University | Sato Y.,Japan National Institute of Agrobiological Science | Mihara M.,Japan National Institute of Agrobiological Science | And 6 more authors.
Cell | Year: 2012

Determining the drivers of gene expression patterns is more straightforward in laboratory conditions than in the complex fluctuating environments where organisms typically live. We gathered transcriptome data from the leaves of rice plants in a paddy field along with the corresponding meteorological data and used them to develop statistical models for the endogenous and external influences on gene expression. Our results indicate that the transcriptome dynamics are predominantly governed by endogenous diurnal rhythms, ambient temperature, plant age, and solar radiation. The data revealed diurnal gates for environmental stimuli to influence transcription and pointed to relative influences exerted by circadian and environmental factors on different metabolic genes. The model also generated predictions for the influence of changing temperatures on transcriptome dynamics. We anticipate that our models will help translate the knowledge amassed in laboratories to problems in agriculture and that our approach to deciphering the transcriptome fluctuations in complex environments will be applicable to other organisms. © 2012 Elsevier Inc.


Kumagai M.,Japan National Institute of Agrobiological Science | Kim J.,Japan National Institute of Agrobiological Science | Itoh R.,Japan National Institute of Agrobiological Science | Itoh R.,DYNACOM Co. | Itoh T.,Japan National Institute of Agrobiological Science
Bioinformatics | Year: 2013

Because an enormous amount of sequence data is being collected, a method to effectively display sequence variation information is urgently needed. tasuke is a web application that visualizes large-scale resequencing data generated by next-generation sequencing technologies and is suitable for rapid data release to the public on the web. The variation and read depths of multiple genomes, as well as annotations, can be shown simultaneously at various scales. We demonstrate the use of TASUKE by applying it to 50 rice and 100 human genome resequencing datasets.Availability and implementation: The tasuke program package and user manual are available from http://tasuke.dna.affrc.go.jp/. Contact: © 2013 The Author 2013. Published by Oxford University Press.


Okuda T.,Tokyo Medical University | Wakaguri H.,Tokyo Medical University | Wakaguri H.,DYNACOM Co. | Suzuki Y.,Tokyo Medical University | Sugano S.,Tokyo Medical University
Gene | Year: 2012

Gene expression profile upon endoplasmic reticulum (ER) stress was analyzed by deep shotgun sequencing of mRNAs (DSSR) using RNAs from polysomes or cytoplasm of the HT29 cell. Two time points, 4. h after tunicamycin treatment when IRE1α signaling pathway is active and 16. h after the treatment when it is inactive, were used. There was a transient decrease in the proportion of shorter mRNA species (< 1000. bp) in polysome, while it increased transiently in the cytoplasm. Despite such an overall change and decrease in total amount of polysomes, the majority of the 6966 genes analyzed had less than 2 fold change in their expressions. We searched for the genes whose expression was elevated by 2 folds or more in both polysome and cytoplasm and confirmed the results with RT-PCR. There were 7 genes elevated only at 4. h (Group I), 20 genes only at 16. h (Group II) and 7 genes both at 4 and 16. h (Group III). There were 3 genes involved in ribosomal RNA biogenesis in Group I and 2 genes involved mTOR control in Group III. This was consistent with the concept that the ribosome is the essential site for managing ER stress. DSSR is a useful tool for the search of candidates of ER stress responsive genes. © 2012 Elsevier B.V.

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