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Oryza barthii (O.barthii_v1) ▼

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Project funding: National Science Foundation Plant Genome Research Program (#1026200) for the Oryza Genome Evolution (OGE) Project

About Oryza barthii

Oryza barthii is the AA genome progenitor of the West African cultivated rice, O. glaberrima. It belongs to the AA genome group and has 12 chromosomes and a nuclear genome size of 411 Mb (flow cytometry). It is found in mopane or savanna woodland, savanna or fadama. Grows in deep water, seasonally flooded land, stagnant water, and slowly flowing water or pools; prefers clay or black cotton soils. Found in open habitats. This work was part of the OGE project funded by NSF Award #1026200.

Taxonomy ID 65489

Data source Oryza Genome Evolution Project

More information and statistics

View karyotypeExample region

Genome assembly: O.barthii_v1

More information and statistics

Download DNA sequence (FASTA)

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Example geneExample transcript

Gene annotation

What can I find? Protein-coding and non-coding genes, splice variants, cDNA and protein sequences, non-coding RNAs.

More about this genebuild

Download genes, cDNAs, ncRNA, proteins - FASTA - GFF3

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Example gene tree

Comparative genomics

What can I find? Homologues, gene trees, and whole genome alignments across multiple species.

More about comparative analyses

Phylogenetic overview of gene families

Download alignments (EMF)

Variation

This species currently has no variation database. However you can process your own variants using the Variant Effect Predictor:

Variant Effect Predictor

Regulation

What can I find? Microarray annotations.

More about the Ensembl Plants microarray annotation strategy

Gramene/Ensembl Genomes Annotation

Additional annotations generated by the Gramene and Ensembl Plants project include:

  • Gene phylogenetic trees with other Gramene species.
  • LastZ Whole Genome Alignment to Arabidopsis thaliana, Oryza sativa Japonica (IRGSP v1) and other Oryza AA genomes.
  • Orthologue based DAGchainer synteny detection against other AA genomes.
  • Mapping to the genome of multiple sequence-based feature sets using Gramene BLAT pipeline.
  • Identification of various repeat features by programs such as RepeatMasker with MIPS and AGI repeat libraries, and Dust, TRF.