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Updated: Jun 18, 2026

The Use of Induced Somatic Sector Analysis (ISSA) for Studying Genes and Promoters Involved in Wood Formation and Secondary Stem Development
Published on: October 5, 2016
Mapping structural variants in Populus tomentosa reveals adaptive signatures and improves prediction of wood
Leishi Zhong1,2,3, Donghai Zhang1,2,3, Rui Huang1,2,3
1State 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.
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.
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