Evidence map›Paper›PMID 40148317›Full record

ArticleScientific data2025

De novo transcriptome assembly of the plant Helianthemum marifolium for the study of adaptive mechanisms.

Andrea Martín-Díaz, Clara de Vega, Sara Martín-Hernanz, Abelardo Aparicio, Rafael G Albaladejo

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

5 authors.

Andrea Martín-DíazDepartamento de Biología Vegetal y Ecología. Facultad de Farmacia, Universidad de Sevilla, Sevilla, Spain.
Clara de VegaDepartamento de Biología Vegetal y Ecología. Facultad de Farmacia, Universidad de Sevilla, Sevilla, Spain.
Sara Martín-HernanzDepartamento de Biodiversidad, Ecología y Evolución. Facultad de Biología, Universidad Complutense de Madrid, Madrid, Spain.
Abelardo AparicioDepartamento de Biología Vegetal y Ecología. Facultad de Farmacia, Universidad de Sevilla, Sevilla, Spain.
Rafael G AlbaladejoDepartamento de Biología Vegetal y Ecología. Facultad de Farmacia, Universidad de Sevilla, Sevilla, Spain. albaladejo@us.es.ORCID http://orcid.org/0000-0003-2101-5204

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The genus Helianthemum, commonly known as rockroses, encompasses 140 species primarily distributed in the Palearctic region, with notable diversification driven by climatic and geological changes. These plants are valuable for studying speciation processes and ecological divergence. The chemical properties of the leaves have also been investigated for containing valuable bioactive compounds with several therapeutic properties. However, the availability of genomic resources for species in this genus are almost entirely lacking. Here, we assembled and annotated the first reference transcriptome of Helianthemum marifolium, a species with wide morphological variability and infraspecific diversity. Illumina paired-end RNA sequences were generated using leaves from 16 individuals, representing the four recognized subspecies, all cultivated in a greenhouse. RNA reads were assembled with Trinity and Oases, and EvidentialGene produced a transcriptome with 122,002 transcripts. The transcriptome showed 59524 hits on the UniProtBK database through BLASTx. This transcriptome will be an invaluable resource for transcriptome-level population studies, conservation genetics of the many endangered species within the genus, and for deepen into the metabolic pathways of leaf-derived compounds.

Indexed as

Adaptation, PhysiologicalTranscriptomePlant Leaves

Identifiers

PMID40148317
PMCPMC11950303

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.