Evidence map›Paper›PMID 23171001›Full record

ArticleBMC genomics2012

Small RNA and transcriptome deep sequencing proffers insight into floral gene regulation in Rosa cultivars.

Jungeun Kim, June Hyun Park, Chan Ju Lim, Jae Yun Lim, Jee-Youn Ryu, Bong-Woo Lee, Jae-Pil Choi, Woong Bom Kim, Ha Yeon Lee, Yourim Choi and 6 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
7.6field-weighted citation impact, top 3% 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

31 citing papers in PubMed, 55 citations in OpenAlex.

  1. Article
  2. Genetic and Biochemical Aspects of Floral Scents in Roses.International journal of molecular sciences · 2022
    Review
  3. MicroRNAs Roles in Plants Secondary Metabolism.Plant signaling & behavior · 2021
    Review
  4. Review
  5. MicroRNAs in Woody Plants.Frontiers in plant science · 2021
    Review
  6. Article
  7. Article
  8. Article
  9. MIKCHorticulture research · 2018
    Article
  10. Small RNA Transcriptome ofMolecules and cells · 2017
    Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  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

16 authors at 3 institutions in 1 country.

Jungeun KimGreen Bio Research Center, 125 Gwahak-ro, Yuseong-gu, Daejeon 305-806, Republic of Korea.
June Hyun Park
Chan Ju Lim
Jae Yun Lim
Jee-Youn Ryu
Bong-Woo Lee
Jae-Pil Choi
Woong Bom Kim
Ha Yeon Lee
Yourim Choi
Donghyun Kim
Cheol-Goo Hur
Sukweon Kim
Yoo-Sun Noh
Chanseok Shin
Suk-Yoon Kwon
Green Cross (South Korea) · KRSeoul National University · KRKorea Research Institute of Bioscience and Biotechnology · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRoses (Rosa sp.), which belong to the family Rosaceae, are the most economically important ornamental plants--making up 30% of the floriculture market. However, given high demand for roses, rose breeding programs are limited in molecular resources which can greatly enhance and speed breeding efforts. A better understanding of important genes that contribute to important floral development and desired phenotypes will lead to improved rose cultivars. For this study, we analyzed rose miRNAs and the rose flower transcriptome in order to generate a database to expound upon current knowledge regarding regulation of important floral characteristics. A rose genetic database will enable comprehensive analysis of gene expression and regulation via miRNA among different Rosa cultivars.

resultsWe produced more than 0.5 million reads from expressed sequences, totalling more than 110 million bp. From these, we generated 35,657, 31,434, 34,725, and 39,722 flower unigenes from Rosa hybrid: 'Vital', 'Maroussia', and 'Sympathy' and Rosa rugosa Thunb., respectively. The unigenes were assigned functional annotations, domains, metabolic pathways, Gene Ontology (GO) terms, Plant Ontology (PO) terms, and MIPS Functional Catalogue (FunCat) terms. Rose flower transcripts were compared with genes from whole genome sequences of Rosaceae members (apple, strawberry, and peach) and grape. We also produced approximately 40 million small RNA reads from flower tissue for Rosa, representing 267 unique miRNA tags. Among identified miRNAs, 25 of them were novel and 242 of them were conserved miRNAs. Statistical analyses of miRNA profiles revealed both shared and species-specific miRNAs, which presumably effect flower development and phenotypes.

conclusionsIn this study, we constructed a Rose miRNA and transcriptome database, and we analyzed the miRNAs and transcriptome generated from the flower tissues of four Rosa cultivars. The database provides a comprehensive genetic resource which can be used to better understand rose flower development and to identify candidate genes for important phenotypes.

Indexed as

Gene Expression Regulation, PlantGenes, PlantTranscriptomeBase SequenceChromosome MappingConserved SequenceDatabases, GeneticExpressed Sequence TagsFlowersFragariaGenotypeMalusMicroRNAsMicrosatellite RepeatsMolecular Sequence AnnotationMolecular Sequence DataMicroRNAs

Identifiers

PMID23171001
PMCPMC3527192
OpenAlexW2082880985

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.