Evidence map›Paper›PMID 23136528›Full record

ArticleBreeding science2012

Microstructure of a Brassica rapa genome segment homoeologous to the resistance gene cluster on Arabidopsis chromosome 4.

Keita Suwabe, Go Suzuki, Tsukasa Nunome, Katsunori Hatakeyama, Yasuhiko Mukai, Hiroyuki Fukuoka, Satoru Matsumoto

Abstract read
In one paragraph

Article in Breeding science, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Fine mapping and candidate gene analysis ofFrontiers in plant science · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Two Clubroot-Resistance Genes,International journal of molecular sciences · 2020
    Article
  10. Quantitative Trait Locus Mapping of Clubroot Resistance andInternational journal of molecular sciences · 2020
    Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
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.

Keita SuwabeGraduate School of Bioresources, Mie University , 1577 Kurima-machiya, Tsu, Mie 514-8507, Japan ; NARO Institute of Vegetable and Tea Science , 360 Kusawa, Ano, Tsu, Mie 514-2392, Japan.
Go Suzuki
Tsukasa Nunome
Katsunori Hatakeyama
Yasuhiko Mukai
Hiroyuki Fukuoka
Satoru Matsumoto

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome evolution is a continuous process and genomic rearrangement occurs both within and between species. With the sequencing of the Arabidopsis thaliana genome, comparative genetics and genomics offer new insights into plant biology. The genus Brassica offers excellent opportunities with which to compare genomic synteny so as to reveal genome evolution. During a previous genetic analysis of clubroot resistance in Brassica rapa, we identified a genetic region that is highly collinear with Arabidopsis chromosome 4. This region corresponds to a disease resistance gene cluster in the A. thaliana genome. Relying on synteny with Arabidopsis, we fine-mapped the region and found that the location and order of the markers showed good correspondence with those in Arabidopsis. Microsynteny on a physical map indicated an almost parallel correspondence, with a few rearrangements such as inversions and insertions. The results show that this genomic region of Brassica is conserved extensively with that of Arabidopsis and has potential as a disease resistance gene cluster, although the genera diverged 20 million years ago.

Indexed as

BAC librarygenome evolutiongenome organizationgenomic collinearitymicrosynteny

Identifiers

PMID23136528
PMCPMC3405966

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.