Evidence map›Paper›PMID 24599000›Full record

ArticleMolecules and cells2014

Quantitative trait locus mapping and candidate gene analysis for plant architecture traits using whole genome re-sequencing in rice.

Jung-Hyun Lim, Hyun-Jung Yang, Ki-Hong Jung, Soo-Cheul Yoo, Nam-Chon Paek

Open access · diamondAbstract read
In one paragraph

Article in Molecules and cells, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
3.7field-weighted citation impact, top 7% of its field
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

28 citing papers in PubMed, 54 citations in OpenAlex.

  1. Combating Root-Knot Nematodes (Plants (Basel, Switzerland) · 2025
    Review
  2. Article
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  6. Mapping of QTLs for Yield Traits Using FFrontiers in plant science · 2022
    Article
  7. Whole-Genome Sequencing of KMR3 andFrontiers in plant science · 2022
    Article
  8. Current Understanding of Leaf Senescence in Rice.International journal of molecular sciences · 2021
    Review
  9. Article
  10. Article
  11. Article
  12. Plants (Basel, Switzerland) · 2020
    Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Genetic mapping and development of molecular markers for a candidate gene locus controlling rind color in watermelon.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2019
    Article
  18. Article
  19. Article
  20. 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

5 authors at 2 institutions in 1 country.

Jung-Hyun LimDepartment of Plant Science, Plant Genomics and Breeding Institute, and Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul 151-921, Korea.
Hyun-Jung Yang
Ki-Hong Jung
Soo-Cheul Yoo
Nam-Chon Paek
Seoul National University · KRKyung Hee University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plant breeders have focused on improving plant architecture as an effective means to increase crop yield. Here, we identify the main-effect quantitative trait loci (QTLs) for plant shape-related traits in rice (Oryza sativa) and find candidate genes by applying whole genome re-sequencing of two parental cultivars using next-generation sequencing. To identify QTLs influencing plant shape, we analyzed six traits: plant height, tiller number, panicle diameter, panicle length, flag leaf length, and flag leaf width. We performed QTL analysis with 178 F7 recombinant in-bred lines (RILs) from a cross of japonica rice line 'SNUSG1' and indica rice line 'Milyang23'. Using 131 molecular markers, including 28 insertion/deletion markers, we identified 11 main- and 16 minor-effect QTLs for the six traits with a threshold LOD value > 2.8. Our sequence analysis identified fifty-four candidate genes for the main-effect QTLs. By further comparison of coding sequences and meta-expression profiles between japonica and indica rice varieties, we finally chose 15 strong candidate genes for the 11 main-effect QTLs. Our study shows that the whole-genome sequence data substantially enhanced the efficiency of polymorphic marker development for QTL fine-mapping and the identification of possible candidate genes. This yields useful genetic resources for breeding high-yielding rice cultivars with improved plant architecture.

Indexed as

Quantitative Trait LociChromosomes, PlantGenes, PlantGenetic Association StudiesHigh-Throughput Nucleotide SequencingOryzaPhenotypePlant LeavesSequence Analysis, DNA

Identifiers

PMID24599000
PMCPMC3935628
OpenAlexW2043955584

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

None linked

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.