Evidence map›Paper›PMID 30084885›Full record

ArticleDNA research : an international journal for rapid publication of reports on genes and genomes2018

Transcriptome-referenced association study of clove shape traits in garlic.

Xiaojun Chen, Xia Liu, Siyuan Zhu, Shouwei Tang, Shiyong Mei, Jing Chen, Shan Li, Mengdi Liu, Yuejiao Gu, Qiuzhong Dai and 1 more

Open access · goldAbstract read
In one paragraph

Article in DNA research : an international journal for rapid publication of reports on genes and genomes, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.6field-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

18 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Article
  3. Molecular Mechanism Underlying thePlants (Basel, Switzerland) · 2023
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  6. Review
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  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Transcriptome analysis and genetic diversity ofMitochondrial DNA. Part B, Resources · 2021
    Article
  14. Article
  15. Article
  16. De novo assembly, transcriptome characterization, and simple sequence repeat marker development in duckweedPhysiology and molecular biology of plants : an international journal of functional plant biology · 2020
    Article
  17. Article
  18. 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

11 authors at 2 institutions in 1 country.

Xiaojun ChenInstitute of Bast Fiber Crops and Center of Southern Economic Crops, Chinese Academy of Agricultural Sciences, Changsha, China.
Xia LiuNovogene Bioinformatics Institute, Beijing, China.
Siyuan ZhuInstitute of Bast Fiber Crops and Center of Southern Economic Crops, Chinese Academy of Agricultural Sciences, Changsha, China.
Shouwei TangInstitute of Bast Fiber Crops and Center of Southern Economic Crops, Chinese Academy of Agricultural Sciences, Changsha, China.
Shiyong MeiInstitute of Bast Fiber Crops and Center of Southern Economic Crops, Chinese Academy of Agricultural Sciences, Changsha, China.
Jing ChenNovogene Bioinformatics Institute, Beijing, China.
Shan LiNovogene Bioinformatics Institute, Beijing, China.
Mengdi LiuNovogene Bioinformatics Institute, Beijing, China.
Yuejiao GuNovogene Bioinformatics Institute, Beijing, China.
Qiuzhong DaiInstitute of Bast Fiber Crops and Center of Southern Economic Crops, Chinese Academy of Agricultural Sciences, Changsha, China.
Touming LiuInstitute of Bast Fiber Crops and Center of Southern Economic Crops, Chinese Academy of Agricultural Sciences, Changsha, China.
Institute of Bast Fiber Crops · CNNovogene Bioinformatics Institute · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome-wide association studies are a powerful approach for identifying genes related to complex traits in organisms, but are limited by the requirement for a reference genome sequence of the species under study. To circumvent this problem, we propose a transcriptome-referenced association study (TRAS) that utilizes a transcriptome generated by single-molecule long-read sequencing as a reference sequence to score population variation at both transcript sequence and expression levels. Candidate transcripts are identified when both scores are associated with a trait and their potential interactions are ascertained by expression quantitative trait loci analysis. Applying this method to characterize garlic clove shape traits in 102 landraces, we identified 22 candidate transcripts, most of which showed extensive interactions. Eight transcripts were long non-coding RNAs (lncRNAs), and the others were proteins involved mainly in carbohydrate metabolism, protein degradation, etc. TRAS, as an efficient tool for association study independent of a reference genome, extends the applicability of association studies to a broad range of species.

Indexed as

GarlicGene Expression ProfilingGenetic Association StudiesPhenotypePolymorphism, Single NucleotideQuantitative Trait LociReference StandardsSequence Analysis, RNATranscriptome

Identifiers

PMID30084885
PMCPMC6289775
OpenAlexW2886460758

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.