Evidence map›Paper›PMID 40274866›Full record

ArticleScientific data2025

Transcriptome profiling of Hyacinthus orientalis L. cultivars in floral pigmentation.

Kwan-Ho Wong, Hoi-Yan Wu, Cheryl Wood-Yee Shum, Jerome Ho-Lam Hui, Pang-Chui Shaw, David Tai-Wai Lau

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Kwan-Ho WongShiu-Ying Hu Herbarium, School of Life Sciences, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China.
Hoi-Yan WuLi Dak Sum Yip Yio Chin R & D Centre for Chinese Medicine, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China.
Cheryl Wood-Yee ShumShiu-Ying Hu Herbarium, School of Life Sciences, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China.
Jerome Ho-Lam HuiSchool of Life Sciences, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China.ORCID http://orcid.org/0000-0003-1355-8495
Pang-Chui ShawSchool of Life Sciences, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China. pcshaw@cuhk.edu.hk.
David Tai-Wai LauShiu-Ying Hu Herbarium, School of Life Sciences, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China. lautaiwai@cuhk.edu.hk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hyacinth (Hyacinthus orientalis L.) is a popular floricultural crop. Its cultivars exhibit a wide range of phenotypic variations, especially flower colours. Yet, the cultivar pedigree was poorly recorded, impeding efficient breeding in producing novel cultivars. In addition, scarce genomic resource of the species hinders the exploration on the molecular mechanism in controlling the diversification of floral colour. In this study, transcriptome profiling was conducted on seven hyacinth cultivars, each representing a major flower colour. RNA-Seq libraries were prepared from 189 samples that were collected in three perianth partitions at three consecutive developmental stages in biological triplicates. A total of 1,256.8 gigabytes data were generated. The reproducibility and variability of our dataset were assessed through correlation analysis and principal component analysis, respectively. In addition, the usability of the dataset was demonstrated by the identification of differentially expressed genes, functional annotation and functional enrichment analysis. This study provides the first spatiotemporal profiling of the gene expression of hyacinths, contributing to molecular breeding of hyacinth cultivars with novel flower colours.

Indexed as

AsparagaceaeFlowersPigmentationTranscriptomeGene Expression Profiling

Identifiers

PMID40274866
PMCPMC12022083

What OpenQuestion holds

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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.