Europe PMC

This website requires cookies, and the limited processing of your personal data in order to function. By using the site you are agreeing to this as outlined in our privacy notice and cookie policy.

A draft sequence of the rice genome (Oryza sativa L. ssp. japonica).

Show less

Author information

Affiliations

  • 1. Torrey Mesa Research Institute, Syngenta, 3115 Merryfield Row, San Diego, CA 92121, USA.
      Authors
    • Goff SA 1
    (1 author)

ORCIDs linked to this article

Show all (6)

Science, 01 Apr 2002, 296(5565):92-100
https://doi.org/10.1126/science.1068275 PMID: 11935018 

A comment on this article appears in "The importance of rice." Science. 2002 Apr 5;296(5565):13. A comment on this article appears in "The rice genome. Rice: boiled down to bare essentials." Science. 2002 Apr 5;296(5565):32-6. A comment on this article appears in "The rice genome. The cereal of the world's poor takes center stage." Science. 2002 Apr 5;296(5565):53. Show all (6)

Abstract 

The genome of the japonica subspecies of rice, an important cereal and model monocot, was sequenced and assembled by whole-genome shotgun sequencing. The assembled sequence covers 93% of the 420-megabase genome. Gene predictions on the assembled sequence suggest that the genome contains 32,000 to 50,000 genes. Homologs of 98% of the known maize, wheat, and barley proteins are found in rice. Synteny and gene homology between rice and the other cereal genomes are extensive, whereas synteny with Arabidopsis is limited. Assignment of candidate rice orthologs to Arabidopsis genes is possible in many cases. The rice genome sequence provides a foundation for the improvement of cereals, our most important crops.

Full text links 

Read article at publisher's site: https://doi.org/10.1126/science.1068275

Citations & impact 

Impact metrics

1,651
Citations
Jump to Citations
20
Data citations
Jump to Data

Citations of article over time

Alternative metrics

Altmetric item for https://www.altmetric.com/details/101868105
Altmetric
Discover the attention surrounding your research
https://www.altmetric.com/details/101868105

Smart citations by scite.ai
Smart citations by scite.ai include citation statements extracted from the full text of the citing article. The number of the statements may be higher than the number of citations provided by EuropePMC if one paper cites another multiple times or lower if scite has not yet processed some of the citing articles.
Explore citation contexts and check if this article has been supported or disputed.
https://scite.ai/reports/10.1126/science.1068275

Supporting
Mentioning
Contrasting
15
1380
3

Article citations

Go to all (1,651) article citations

Other citations

Data 

Similar Articles 

To arrive at the top five similar articles we use a word-weighted algorithm to compare words from the Title and Abstract of each citation.