Evidence map›Paper›PMID 41654542›Full record

ArticleScientific data2026

De novo transcriptome assembly of the silver fir, Abies alba Mill.

Isabel García-García, Belén Méndez-Cea, Jose Luis Horreo, José Ignacio Seco, Juan Carlos Linares, Francisco Javier Gallego

Abstract readDataset
In one paragraph

Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Isabel García-GarcíaDpto de Genética, Fisiología y Microbiología, UD Genética, Facultad de CC Biológicas, Universidad Complutense de Madrid, 28040, Madrid, Spain. isabel06@ucm.es.ORCID http://orcid.org/0000-0003-1165-8900
Belén Méndez-CeaDpto de Genética, Fisiología y Microbiología, UD Genética, Facultad de CC Biológicas, Universidad Complutense de Madrid, 28040, Madrid, Spain.
Jose Luis HorreoDpto de Genética, Fisiología y Microbiología, UD Genética, Facultad de CC Biológicas, Universidad Complutense de Madrid, 28040, Madrid, Spain.
José Ignacio SecoDpto de Sistemas Físicos, Químicos y Naturales, Universidad Pablo de Olavide, 41013, Sevilla, Spain.
Juan Carlos LinaresDpto de Sistemas Físicos, Químicos y Naturales, Universidad Pablo de Olavide, 41013, Sevilla, Spain.ORCID http://orcid.org/0000-0001-8375-6353
Francisco Javier GallegoDpto de Genética, Fisiología y Microbiología, UD Genética, Facultad de CC Biológicas, Universidad Complutense de Madrid, 28040, Madrid, Spain.ORCID http://orcid.org/0000-0002-9921-8960

Funding

Junta de Andalucía PAIDI, P18-RT-1170
6 · The paper itself

Abstract

The silver fir, Abies alba Mill., is a key species in European mountain forest ecosystems, which, despite being one of the few conifers with an available reference genome, lacked high quality transcriptomic information. Here, we present a de novo transcriptome assembly of this species, obtained using both short- and long-read sequencing data, from three different organs: leaves, stem, and roots. Saplings were subjected to different treatments, including cold, heat, drought, and darkness, in order to induce the expression of as many genes as possible to obtain a highly comprehensive representation of the silver fir's transcriptome. The assembled transcriptome shows a completeness value of 94.8%, with 539,313 assembled transcripts, of which approximately 30% were functionally annotated. It constitutes the highest quality transcriptome available to date for A. alba, providing a valuable tool for further studies involving this species.

Indexed as

AbiesTranscriptome

Identifiers

PMID41654542
PMCPMC12992686

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.