Evidence map›Paper›PMID 26578696›Full record

ArticlePlant & cell physiology2016

OryzaGenome: Genome Diversity Database of Wild Oryza Species.

Hajime Ohyanagi, Toshinobu Ebata, Xuehui Huang, Hao Gong, Masahiro Fujita, Takako Mochizuki, Atsushi Toyoda, Asao Fujiyama, Eli Kaminuma, Yasukazu Nakamura and 4 more

Abstract read
In one paragraph

Article in Plant & cell physiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Genomics and transcriptomics to protect rice (Frontiers in plant science · 2022
    Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Rice Stress-Resistant SNP Database.Rice (New York, N.Y.) · 2019
    Article
  11. Article
  12. Review
  13. Review
  14. RiceRelativesGD: a genomic database of rice relatives for rice research.Database : the journal of biological databases and curation · 2019
    Article
  15. Heap: a highly sensitive and accurate SNP detection tool for low-coverage high-throughput sequencing data.DNA research : an international journal for rapid publication of reports on genes and genomes · 2017
    Article
  16. Article
  17. Article
  18. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Hajime OhyanagiPlant Genetics Laboratory, National Institute of Genetics, Mishima, Japan Bioinformatics Laboratory, Meiji University, Kawasaki, Japan Tsukuba Division, Mitsubishi Space Software Co., Ltd., Tsukuba, Japan Present address: Computational Bioscience Research Center, King Abdullah University of Science and Technology, Thuwal 23955-6900, Kingdom of Saudi Arabia.
Toshinobu EbataDYNACOM Co., Ltd., Chiba, Japan.
Xuehui HuangNational Center for Gene Research, Chinese Academy of Sciences, Shanghai, PR China.
Hao GongNational Center for Gene Research, Chinese Academy of Sciences, Shanghai, PR China.
Masahiro FujitaPlant Genetics Laboratory, National Institute of Genetics, Mishima, Japan.
Takako MochizukiGenome Informatics Laboratory, National Institute of Genetics, Mishima, Japan.
Atsushi ToyodaComparative Genomics Laboratory, National Institute of Genetics, Mishima, Japan.
Asao FujiyamaComparative Genomics Laboratory, National Institute of Genetics, Mishima, Japan Department of Genetics, School of Life Science, Graduate University for Advanced Studies, Mishima, Japan.
Eli KaminumaGenome Informatics Laboratory, National Institute of Genetics, Mishima, Japan Department of Genetics, School of Life Science, Graduate University for Advanced Studies, Mishima, Japan.
Yasukazu NakamuraGenome Informatics Laboratory, National Institute of Genetics, Mishima, Japan Department of Genetics, School of Life Science, Graduate University for Advanced Studies, Mishima, Japan.
Qi FengNational Center for Gene Research, Chinese Academy of Sciences, Shanghai, PR China.
Zi-Xuan WangPlant Genetics Laboratory, National Institute of Genetics, Mishima, Japan National Center for Gene Research, Chinese Academy of Sciences, Shanghai, PR China.
Bin HanNational Center for Gene Research, Chinese Academy of Sciences, Shanghai, PR China.
Nori KurataPlant Genetics Laboratory, National Institute of Genetics, Mishima, Japan Department of Genetics, School of Life Science, Graduate University for Advanced Studies, Mishima, Japan nkurata@nig.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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/.

Indexed as

Databases, GeneticGenetic VariationGenomicsGenome, PlantGenotypeOryzaPhenotypePolymorphism, Single NucleotideDatabaseGenome diversityGenus OryzaNGSNIG Wild Rice CollectionOryzabaseOryza rufipogonSNP

Identifiers

PMID26578696
PMCPMC4722174

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.