Evidence map›Paper›PMID 42303977›Full record

ArticleNature communications2026

Mapping structural variants in Populus tomentosa reveals adaptive signatures and improves prediction of wood properties.

Leishi Zhong, Donghai Zhang, Rui Huang, Jiaxuan Zhou, Wenke Zhang, Lianzheng Li, Zhuoying Jin, Mengjiao Zhang, Chongde Tian, Mingjia Yuan and 7 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

17 authors.

Leishi Zhong *State Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing, P. R. China.ORCID http://orcid.org/0009-0008-2439-8187
Donghai Zhang *State Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing, P. R. China.ORCID http://orcid.org/0009-0006-3373-2648
Rui HuangState Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing, P. R. China.
Jiaxuan ZhouState Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing, P. R. China.
Wenke ZhangState Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing, P. R. China.
Lianzheng LiState Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing, P. R. China.
Zhuoying JinState Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing, P. R. China.
Mengjiao ZhangState Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing, P. R. China.
Chongde TianState Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing, P. R. China.
Mingjia YuanState Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing, P. R. China.
Yixuan ZhangState Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing, P. R. China.ORCID http://orcid.org/0009-0001-3560-2066
Peng LiState Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing, P. R. China.
Liang XiaoState Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing, P. R. China.ORCID http://orcid.org/0000-0001-6683-8955
Mingyang QuanState Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing, P. R. China.
Deqiang ZhangState Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing, P. R. China.ORCID http://orcid.org/0000-0002-8849-2366
Jinlong LiState Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing, P. R. China. lijl2024@bjfu.edu.cn.ORCID http://orcid.org/0009-0002-4336-9601
Qingzhang DuState Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing, P. R. China. QingzhangDu@bjfu.edu.cn.ORCID http://orcid.org/0000-0003-1410-2609

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Structural variants (SVs) are key drivers of genome plasticity and adaptation in plants, yet their roles in woody perennials remain understudied. Here, we build a comprehensive SV landscape based on a haplotype-resolved chromosomal genome assembly and population resequencing of 302 Populus tomentosa accessions. We reconstruct the evolutionary trajectories of SVs, revealing that they shape subpopulation differentiation through both independent and joint genomic variations. Integrating transcriptomics, we demonstrate that SVs exert broad dosage and cis-acting regulatory effects. Furthermore, segmental duplications drive SV hotspot formation, and these regions are significantly enriched for adaptive signals. SV-based GWAS reveals 61 candidate genes influencing wood-related traits under adaptive selection. Functionally, a causal 54-bp insertion in the PtoERD3 promoter balances lignin-mediated growth and drought adaptation. Additionally, we implement an optimized genomic prediction method with an accuracy of 0.94 for wood-related traits. Finally, we propose an SV-based breeding navigation map to improve the accuracy of multi-trait selection.

Indexed as

Genomic Structural VariationPopulusWoodAdaptation, PhysiologicalChromosome MappingGenome, PlantGenome-Wide Association StudyHaplotypesQuantitative Trait Loci

Identifiers

PMID42303977
PMCPMC13429737

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.