Evidence map›Paper›PMID 26499887›Full record

ArticleBMC genomics2015

Transcriptome analysis of Brassica napus pod using RNA-Seq and identification of lipid-related candidate genes.

Hai-Ming Xu, Xiang-Dong Kong, Fei Chen, Ji-Xiang Huang, Xiang-Yang Lou, Jian-Yi Zhao

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 11% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Fine mapping and candidate gene analysis of a major QTL for oil content in the seed of Brassica napus.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023
    Article
  4. Review
  5. Article
  6. Transcriptome Analysis of Seed Weight Plasticity inInternational journal of molecular sciences · 2021
    Article
  7. Article
  8. Article
  9. Protective Role of Leaf Variegation inInternational journal of molecular sciences · 2019
    Article
  10. Article
  11. Article
  12. Overexpression of Acyl-ACP Thioesterases,International journal of molecular sciences · 2019
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. 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

6 authors at 3 institutions in 2 countries.

Hai-Ming XuInstitute of Bioinformatics, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China.
Xiang-Dong KongInstitute of Bioinformatics, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China.
Fei ChenState Key Laboratory Breeding Base for Zhejiang Sustainable Pest and Disease Control, Institute of Crop and Nuclear Technology Utilization, Zhejiang Academy of Agricultural Sciences, 198 Shiqiao Road, Hangzhou, 310021, China.
Ji-Xiang HuangState Key Laboratory Breeding Base for Zhejiang Sustainable Pest and Disease Control, Institute of Crop and Nuclear Technology Utilization, Zhejiang Academy of Agricultural Sciences, 198 Shiqiao Road, Hangzhou, 310021, China.
Xiang-Yang LouDepartment of Biostatistics and Bioinformatics, Tulane University, 1440 Canal St., Suite 2001, New Orleans, LA, 70112-2632, USA. xlou@tulane.edu.
Jian-Yi ZhaoState Key Laboratory Breeding Base for Zhejiang Sustainable Pest and Disease Control, Institute of Crop and Nuclear Technology Utilization, Zhejiang Academy of Agricultural Sciences, 198 Shiqiao Road, Hangzhou, 310021, China. jyzhao3@yahoo.com.
ZheJiang Academy of Agricultural Sciences · CNZhejiang University · CNTulane University · US

Funding

Detection of multifactor interactions with application to nicotine dependenceR01DA025095 · NIDA · UNIVERSITY OF VIRGINIA · PI LOU, XIANG-YANG · 2008 to 2013
$1.1M
NIDA NIH HHS DA025095NIDA NIH HHS R01 DA025095
6 · The paper itself

Abstract

backgroundBrassica napus is an important oilseed crop. Dissection of the genetic architecture underlying oil-related biological processes will greatly facilitates the genetic improvement of rapeseed. The differential gene expression during pod development offers a snapshot on the genes responsible for oil accumulation in. To identify candidate genes in the linkage peaks reported previously, we used RNA sequencing (RNA-Seq) technology to analyze the pod transcriptomes of German cultivar Sollux and Chinese inbred line Gaoyou.

methodsThe RNA samples were collected for RNA-Seq at 5-7, 15-17 and 25-27 days after flowering (DAF). Bioinformatics analysis was performed to investigate differentially expressed genes (DEGs). Gene annotation analysis was integrated with QTL mapping and Brassica napus pod transcriptome profiling to detect potential candidate genes in oilseed.

resultsFour hundred sixty five and two thousand, one hundred fourteen candidate DEGs were identified, respectively, between two varieties at the same stages and across different periods of each variety. Then, 33 DEGs between Sollux and Gaoyou were identified as the candidate genes affecting seed oil content by combining those DEGs with the quantitative trait locus (QTL) mapping results, of which, one was found to be homologous to Arabidopsis thaliana lipid-related genes. DISCUSSION: Intervarietal DEGs of lipid pathways in QTL regions represent important candidate genes for oil-related traits. Integrated analysis of transcriptome profiling, QTL mapping and comparative genomics with other relative species leads to efficient identification of most plausible functional genes underlying oil-content related characters, offering valuable resources for bettering breeding program of Brassica napus.

conclusionsThis study provided a comprehensive overview on the pod transcriptomes of two varieties with different oil-contents at the three developmental stages.

Indexed as

Gene Expression ProfilingHigh-Throughput Nucleotide SequencingTranscriptomeBrassica napusChromosome MappingCluster AnalysisComputational BiologyGene Expression Regulation, PlantGenes, PlantLipid MetabolismMetabolic Networks and PathwaysMolecular Sequence AnnotationQuantitative Trait Loci

Identifiers

PMID26499887
PMCPMC4619414
OpenAlexW2149266274

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.