Evidence map›Paper›PMID 24466017›Full record

ArticlePloS one2014

Genome-wide DNA polymorphisms in seven rice cultivars of temperate and tropical japonica groups.

Yuko Arai-Kichise, Yuh Shiwa, Kaworu Ebana, Mari Shibata-Hatta, Hirofumi Yoshikawa, Masahiro Yano, Kyo Wakasa

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Effects ofPlants (Basel, Switzerland) · 2025
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  9. Tracking the genome-wide outcomes of a transposable element burst over decades of amplification.Proceedings of the National Academy of Sciences of the United States of America · 2017
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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

7 authors.

Yuko Arai-KichiseGenome Research Center, NODAI Research Institute, Tokyo University of Agriculture, Setagaya, Tokyo, Japan.
Yuh ShiwaGenome Research Center, NODAI Research Institute, Tokyo University of Agriculture, Setagaya, Tokyo, Japan.
Kaworu EbanaGenetic Resources Center, National Institute of Agrobiological Sciences, Tsukuba, Ibaraki, Japan.
Mari Shibata-HattaGenome Research Center, NODAI Research Institute, Tokyo University of Agriculture, Setagaya, Tokyo, Japan.
Hirofumi YoshikawaGenome Research Center, NODAI Research Institute, Tokyo University of Agriculture, Setagaya, Tokyo, Japan ; Department of Bioscience, Tokyo University of Agriculture, Tokyo, Japan.
Masahiro YanoAgrogenomics Research Center, National Institute of Agrobiological Sciences, Tsukuba, Ibaraki, Japan.
Kyo WakasaGenome Research Center, NODAI Research Institute, Tokyo University of Agriculture, Setagaya, Tokyo, Japan ; Department of Bioscience, Tokyo University of Agriculture, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Elucidation of the rice genome is expected to broaden our understanding of genes related to the agronomic characteristics and the genetic relationship among cultivars. In this study, we conducted whole-genome sequencings of 6 cultivars, including 5 temperate japonica cultivars and 1 tropical japonica cultivar (Moroberekan), by using next-generation sequencing (NGS) with Nipponbare genome as a reference. The temperate japonica cultivars contained 2 sake brewing (Yamadanishiki and Gohyakumangoku), 1 landrace (Kameji), and 2 modern cultivars (Koshihikari and Norin 8). Almost >83% of the whole genome sequences of the Nipponbare genome could be covered by sequenced short-reads of each cultivar, including Omachi, which has previously been reported to be a temperate japonica cultivar. Numerous single nucleotide polymorphisms (SNPs), insertions, and deletions were detected among the various cultivars and the Nipponbare genomes. Comparison of SNPs detected in each cultivar suggested that Moroberekan had 5-fold more SNPs than the temperate japonica cultivars. Success of the 2 approaches to improve the efficacy of sequence data by using NGS revealed that sequencing depth was directly related to sequencing coverage of coding DNA sequences: in excess of 30× genome sequencing was required to cover approximately 80% of the genes in the rice genome. Further, the contigs prepared using the assembly of unmapped reads could increase the value of NGS short-reads and, consequently, cover previously unavailable sequences. These approaches facilitated the identification of new genes in coding DNA sequences and the increase of mapping efficiency in different regions. The DNA polymorphism information between the 7 cultivars and Nipponbare are available at NGRC_Rices_Build1.0 (http://www.nodai-genome.org/oryza_sativa_en.html).

Indexed as

Chromosome MappingGenome, PlantGenome-Wide Association StudyOryzaPolymorphism, Single NucleotideSequence Analysis, DNA

Identifiers

PMID24466017
PMCPMC3897683

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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.