剖析向日葵（L.）形态特征的遗传结构。

Dissecting the Genetic Architecture of Morphological Traits in Sunflower ( L.).

机构信息

Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE 68583, USA.

Center for Plant Science Innovation, University of Nebraska-Lincoln, Lincoln, NE 68583, USA.

出版信息

Genes (Basel). 2024 Jul 19;15(7):950. doi: 10.3390/genes15070950.

DOI:10.3390/genes15070950

PMID:39062729

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11275413/

Abstract

The sunflower ( L.) is one of the most essential oil crops in the world. Several component traits, including flowering time, plant height, stem diameter, seed weight, and kernel weight, determine sunflower seed and oil yield. Although the genetic mechanisms governing the variation of these yield-related traits have been studied using various approaches, genome-wide association studies (GWAS) have not been widely applied to sunflowers. In this study, a set of 342 sunflower accessions was evaluated in 2019 and 2020 using an incomplete randomized block design, and GWAS was conducted utilizing two complementary approaches: the mixed linear model (MLM) and the fixed and random model circulating probability unification (farmCPU) model by fitting 226,779 high-quality SNPs. As a result, GWAS identified a number of trait-associated SNPs. Those SNPs were located close to several genes that may serve as a basis for further molecular characterization and provide promising targets for sunflower yield improvement.

摘要

向日葵（L.）是世界上最重要的油料作物之一。几个组成性状，包括开花时间、株高、茎直径、种子重量和仁重，决定了向日葵种子和油的产量。尽管已经使用各种方法研究了控制这些与产量相关性状变异的遗传机制，但全基因组关联研究（GWAS）尚未广泛应用于向日葵。在这项研究中，一组 342 个向日葵品种于 2019 年和 2020 年使用不完全随机区组设计进行评估，并利用两种互补方法进行了 GWAS：混合线性模型（MLM）和固定和随机模型循环概率统一（farmCPU）模型，通过拟合 226779 个高质量 SNP。结果，GWAS 鉴定出了一些与性状相关的 SNP。这些 SNP 位于几个可能作为进一步分子特征化基础的基因附近，并为向日葵产量提高提供了有希望的靶标。