↓ Skip to main content

OryzaGenome2.1: Database of Diverse Genotypes in Wild Oryza Species

Overview of attention for article published in Rice, March 2021
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

twitter
12 X users

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
18 Mendeley
Title
OryzaGenome2.1: Database of Diverse Genotypes in Wild Oryza Species
Published in
Rice, March 2021
DOI 10.1186/s12284-021-00468-x
Pubmed ID
Authors

Hiromi Kajiya-Kanegae, Hajime Ohyanagi, Toshinobu Ebata, Yasuhiro Tanizawa, Akio Onogi, Yuji Sawada, Masami Yokota Hirai, Zi-Xuan Wang, Bin Han, Atsushi Toyoda, Asao Fujiyama, Hiroyoshi Iwata, Katsutoshi Tsuda, Toshiya Suzuki, Misuzu Nosaka-Takahashi, Ken-ichi Nonomura, Yasukazu Nakamura, Shoko Kawamoto, Nori Kurata, Yutaka Sato

Abstract

OryzaGenome ( http://viewer.shigen.info/oryzagenome21detail/index.xhtml ), a feature within Oryzabase ( https://shigen.nig.ac.jp/rice/oryzabase/ ), is a genomic database for wild Oryza species that provides comparative and evolutionary genomics approaches for the rice research community. Here we release OryzaGenome2.1, the first major update of OryzaGenome. The main feature in this version is the inclusion of newly sequenced genotypes and their meta-information, giving a total of 217 accessions of 19 wild Oryza species (O. rufipogon, O. barthii, O. longistaminata, O. meridionalis, O. glumaepatula, O. punctata, O. minuta, O. officinalis, O. rhizomatis, O. eichingeri, O. latifolia, O. alta, O. grandiglumis, O. australiensis, O. brachyantha, O. granulata, O. meyeriana, O. ridleyi, and O. longiglumis). These 19 wild species belong to 9 genome types (AA, BB, CC, BBCC, CCDD, EE, FF, GG, and HHJJ), representing wide genomic diversity in the genus. Using the genotype information, we analyzed the genome diversity of Oryza species. Other features of OryzaGenome facilitate the use of information on single nucleotide polymorphisms (SNPs) between O. sativa and its wild progenitor O. rufipogon in rice research, including breeding as well as basic science. For example, we provide Variant Call Format (VCF) files for genome-wide SNPs of 33 O. rufipogon accessions against the O. sativa reference genome, IRGSP1.0. In addition, we provide a new SNP Effect Table function, allowing users to identify SNPs or small insertion/deletion polymorphisms in the 33 O. rufipogon accessions and to search for the effect of these polymorphisms on protein function if they reside in the coding region (e.g., are missense or nonsense mutations). Furthermore, the SNP Viewer for 446 O. rufipogon accessions was updated by implementing new tracks for possible selective sweep regions and highly mutated regions that were potentially exposed to selective pressures during the process of domestication. OryzaGenome2.1 focuses on comparative genomic analysis of diverse wild Oryza accessions collected around the world and on the development of resources to speed up the identification of critical trait-related genes, especially from O. rufipogon. It aims to promote the use of genotype information from wild accessions in rice breeding and potential future crop improvements. Diverse genotypes will be a key resource for evolutionary studies in Oryza, including polyploid biology.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 11%
Student > Ph. D. Student 2 11%
Student > Bachelor 2 11%
Researcher 2 11%
Student > Master 2 11%
Other 5 28%
Unknown 3 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 44%
Biochemistry, Genetics and Molecular Biology 3 17%
Business, Management and Accounting 1 6%
Unspecified 1 6%
Medicine and Dentistry 1 6%
Other 1 6%
Unknown 3 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 March 2021.
All research outputs
#6,153,849
of 24,704,144 outputs
Outputs from Rice
#68
of 413 outputs
Outputs of similar age
#127,634
of 426,231 outputs
Outputs of similar age from Rice
#1
of 12 outputs
Altmetric has tracked 24,704,144 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 413 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 83% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 426,231 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.