数字农科院2.0

Genome and transcriptome analysis provide insights into the genetics and breeding of Salix suchowensis growth traits

文献类型： 外文期刊

作者： Wei Liu;Shaobo Gu;Mingjia Zhu;Yu Han;Xiaogang Dai;Huaitong Wu;Tongming Yin;Linjie Guo;Landi Feng;Yanjun Zan;Jianquan Liu

作者机构：

关键词： Breeding prediction;Ground diameter;Plant height;QTL;QTL-by-environment interactions;Salix suchowensis

期刊名称： New Forests

ISSN： 0169-4286

年卷期： 2025 年 56 卷 6 期

页码：

收录情况： SCIE（2025版） ; ; EI（2025版）

摘要： Shrub willow species (Salix sp.) are ideal for cultivation as bioenergy source and can serve as effective models for genetic research due to their rapid growth rates. Understanding the genetic basis of growth traits in willows can enhance the development of high-quality cultivars. In this study, we performed genome-wide association studies (GWAS), expression quantitative trait locus (eQTL) mapping, and transcriptome-wide association analyses to investigate the genetic basis of plant height (Height) and ground diameter (GD) in a full-sib population of Salix suchowensis derived from eight parental lines, which were phenotyped across three sites in southwest China. We identified 15 quantitative trait loci (QTLs) associated with Height and 10 QTLs associated with GD. Furthermore, we identified 938 eQTLs influencing the expression of 685 genes, including a trans-eQTL hub, as well as eight co-expression modules correlated with Height and GD. Transcriptome-wide association studies (TWAS) revealed five genes linked to Height and three genes associated with GD. By jointly modeling genetic variations and environmental factors, we developed a multi-site predictive model that outperformed the genomic best linear unbiased prediction. This study provides valuable insights into the genetic regulatory mechanisms underlying key growth traits in S. suchowensis and establishes a genomic prediction model to facilitate the rapid genetic improvement of the species.

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