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Defining the genome structure of `Tongil' rice, an important cultivar in the Korean "Green Revolution"

Overview of attention for article published in Rice, September 2014
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Title
Defining the genome structure of `Tongil' rice, an important cultivar in the Korean "Green Revolution"
Published in
Rice, September 2014
DOI 10.1186/s12284-014-0022-5
Pubmed ID
Authors

Backki Kim, Dong-Gwan Kim, Gileung Lee, Jeonghwan Seo, Ik-Young Choi, Beom-Soon Choi, Tae-Jin Yang, Kwang Soo Kim, Joohyun Lee, Joong Hyoun Chin, Hee-Jong Koh

Abstract

Tongil (IR667-98-1-2) rice, developed in 1972, is a high-yield rice variety derived from a three-way cross between indica and japonica varieties. Tongil contributed to the self-sufficiency of staple food production in Korea during a period known as the 'Korean Green Revolution'. We analyzed the nucleotide-level genome structure of Tongil rice and compared it to those of the parental varieties. A total of 17.3 billion Illumina Hiseq reads, 47× genome coverage, were generated for Tongil rice. Three parental accessions of Tongil rice, two indica types and one japonica type, were also sequenced at approximately 30x genome coverage. A total of 2,149,991 SNPs were detected between Tongil and Nipponbare varieties. The average SNP frequency of Tongil was 5.77 per kb. Genome composition was determined based on SNP data by comparing Tongil with three parental genome sequences using the sliding window approach. Analyses revealed that 91.8% of the Tongil genome originated from the indica parents and 7.9% from the japonica parent. Copy numbers of SSR motifs, ORF gene distribution throughout the whole genome, gene ontology (GO) annotation, and some yield-related QTLs or gene locations were also comparatively analyzed between Tongil and parental varieties using sequence-based tools. Each genetic factor was transferred from the parents into Tongil rice in amounts that were in proportion to the whole genome composition. Tongil was derived from a three-way cross among two indica and one japonica varieties. Defining the genome structure of Tongil rice demonstrates that the Tongil genome is derived primarily from the indica genome with a small proportion of japonica genome introgression. Comparative gene distribution, SSR, GO, and yield-related gene analysis support the finding that the Tongil genome is primarily made up of the indica genome.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 3%
Denmark 1 3%
Benin 1 3%
France 1 3%
Unknown 25 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 28%
Student > Ph. D. Student 5 17%
Student > Master 3 10%
Lecturer 2 7%
Professor > Associate Professor 2 7%
Other 2 7%
Unknown 7 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 48%
Biochemistry, Genetics and Molecular Biology 2 7%
Business, Management and Accounting 1 3%
Computer Science 1 3%
Social Sciences 1 3%
Other 1 3%
Unknown 9 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 11 September 2022.
All research outputs
#18,146,485
of 23,312,088 outputs
Outputs from Rice
#233
of 393 outputs
Outputs of similar age
#167,344
of 247,280 outputs
Outputs of similar age from Rice
#7
of 10 outputs
Altmetric has tracked 23,312,088 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 393 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 35th percentile – i.e., 35% of its peers scored the same or lower than it.
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 247,280 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.