Evidence map›Paper›PMID 27499133›Full record

ArticleMolecular biology and evolution2016

Characterization of the Poplar Pan-Genome by Genome-Wide Identification of Structural Variation.

Sara Pinosio, Stefania Giacomello, Patricia Faivre-Rampant, Gail Taylor, Veronique Jorge, Marie Christine Le Paslier, Giusi Zaina, Catherine Bastien, Federica Cattonaro, Fabio Marroni and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Molecular biology and evolution, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 1 pooled it
28.1field-weighted citation impact, top 1% 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

56 citing papers in PubMed, 1 synthesis or guideline pooled it, 145 citations in OpenAlex.

  1. Research evolution of flat peach (Frontiers in plant science · 2025
    Pooled it
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  3. Cuticular wax profiling ofFrontiers in plant science · 2026
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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

11 authors at 8 institutions in 3 countries.

Sara PinosioIstituto di Bioscienze e Biorisorse, Consiglio Nazionale delle Ricerche, Sesto Fiorentino, Firenze, Italy Istituto di Genomica Applicata (IGA), Udine, Italy pinosio@appliedgenomics.org michele.morgante@uniud.it.
Stefania GiacomelloIstituto di Genomica Applicata (IGA), Udine, Italy Dipartimento di Scienze Agro-alimentari, Università di Udine, Ambientali e Animali (DI4A), Udine, Italy.
Patricia Faivre-RampantINRA US 1279 EPGV/CEA/CNG, Evry, France.
Gail TaylorSchool of Biological Sciences, University of Southampton, Southampton, United Kingdom.
Veronique JorgeINRA, UR 0588 AGPF, Centre INRA Val de Loire, Orléans, France.
Marie Christine Le PaslierINRA US 1279 EPGV/CEA/CNG, Evry, France.
Giusi ZainaDipartimento di Scienze Agro-alimentari, Università di Udine, Ambientali e Animali (DI4A), Udine, Italy.
Catherine BastienINRA, UR 0588 AGPF, Centre INRA Val de Loire, Orléans, France.
Federica CattonaroIGA Technology Services (IGATS), Udine, Italy.
Fabio MarroniIstituto di Genomica Applicata (IGA), Udine, Italy Dipartimento di Scienze Agro-alimentari, Università di Udine, Ambientali e Animali (DI4A), Udine, Italy.
Michele MorganteIstituto di Genomica Applicata (IGA), Udine, Italy Dipartimento di Scienze Agro-alimentari, Università di Udine, Ambientali e Animali (DI4A), Udine, Italy pinosio@appliedgenomics.org michele.morgante@uniud.it.
Istituto di Genomica Applicata · ITCentre National de la Propriété Forestière · FRCommissariat à l'Énergie Atomique et aux Énergies Alternatives · FRDanieli (Italy) · ITFondation Jean Dausset-CEPH · FRNational Research Council · ITUniversity of Southampton · GBUniversity of Udine · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many recent studies have emphasized the important role of structural variation (SV) in determining human genetic and phenotypic variation. In plants, studies aimed at elucidating the extent of SV are still in their infancy. Evidence has indicated a high presence and an active role of SV in driving plant genome evolution in different plant species.With the aim of characterizing the size and the composition of the poplar pan-genome, we performed a genome-wide analysis of structural variation in three intercrossable poplar species: Populus nigra, Populus deltoides, and Populus trichocarpa We detected a total of 7,889 deletions and 10,586 insertions relative to the P. trichocarpa reference genome, covering respectively 33.2 Mb and 62.9 Mb of genomic sequence, and 3,230 genes affected by copy number variation (CNV). The majority of the detected variants are inter-specific in agreement with a recent origin following separation of species.Insertions and deletions (INDELs) were preferentially located in low-gene density regions of the poplar genome and were, for the majority, associated with the activity of transposable elements. Genes affected by SV showed lower-than-average expression levels and higher levels of dN/dS, suggesting that they are subject to relaxed selective pressure or correspond to pseudogenes.Functional annotation of genes affected by INDELs showed over-representation of categories associated with transposable elements activity, while genes affected by genic CNVs showed enrichment in categories related to resistance to stress and pathogens. This study provides a genome-wide catalogue of SV and the first insight on functional and structural properties of the poplar pan-genome.

Indexed as

DNA Copy Number VariationsGenes, PlantGenome, PlantGenome-Wide Association StudyGenomicsINDEL MutationPopulusStructure-Activity Relationshippan-genomepoplarstructural variationtransposable elements

Identifiers

PMID27499133
PMCPMC5026262
OpenAlexW2493079113

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.