Evidence map›Paper›PMID 40627731›Full record

ArticleGenome biology and evolution2025

Genome-Wide Analyses of Copy Number Variants in 751 Populus trichocarpa Individuals From Natural Populations.

Yihan Wu, Keith Adams

Abstract read
In one paragraph

Article in Genome biology and evolution, 2025. 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. Review
  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

2 authors.

Yihan WuDepartment of Botany, University of British Columbia, Vancouver, Bc, Canada V6T 1Z4.ORCID 0000-0002-1202-4208
Keith AdamsDepartment of Botany, University of British Columbia, Vancouver, Bc, Canada V6T 1Z4.ORCID 0000-0002-6990-9234

Funding

Canadian Society of Plant BiologistsDigital Research Alliance of CanadaNatural Sciences and Engineering Research Council of CanadaWestGrid
6 · The paper itself

Abstract

Copy number variations (CNVs), including duplications and deletions of the genome ranging up to 1 Mb, are an important contributor to genomic variation, and may influence phenotypic variation. They are relatively understudied compared with single nucleotide polymorphisms despite affecting a higher proportion of the genome. Using whole genome sequencing data and RNA-sequencing data, we identified and characterized the natural diversity of CNVs across the native range of Populus trichocarpa and the effects of CNVs on gene expression. We analyzed whole genome sequencing data of 751 P. trichocarpa individuals to identify CNVs, analyzed their size, distribution and population structure. We also examined gene expression with RNA-sequencing data of leaf and xylem tissues for 390 individuals. We found 11,501 duplications and 22,839 deletions covering a major percentage of the genome. Genes overlapping with CNVs were enriched in important biological processes such as reproduction, cellulose production, and defense. Analysis of CNV genotypes with expression data showed that a minority of genes overlapping CNVs have a strong correlation of expression level with copy number. Those genes were significantly enriched in stress-related responses. Our identified CNVs provide insights into the extent, characteristics, and diversity of CNVs in wild populations of P. trichocarpa and the effects of CNVs on gene expression.

Indexed as

DNA Copy Number VariationsGenome, PlantPopulusGene Expression Regulation, PlantPolymorphism, Single Nucleotidecopy number variationgenomicsPopulus trichocarpastructural variation

Identifiers

PMID40627731
PMCPMC12290399

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.