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向日葵抗病性的基因组学见解():鉴定抗病关键区域和候选基因

Genomic Insights into Disease Resistance in Sunflower (): Identifying Key Regions and Candidate Genes for Resistance.

作者信息

Yu Yue, Yang Jianfeng, Zhang Jian, Rieseberg Loren H, Zhao Jun

机构信息

Department of Botany and Biodiversity Research Centre, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.

College of Horticulture and Plant Protection, Inner Mongolia Agricultural University, Hohhot 010010, China.

出版信息

Plants (Basel). 2024 Sep 14;13(18):2582. doi: 10.3390/plants13182582.

DOI:10.3390/plants13182582
PMID:39339557
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11434647/
Abstract

Sunflower () is a globally significant field crop, and disease resistance is crucial for ensuring yield stability and crop quality. is a notorious soilborne pathogen that causes Verticillium Wilt (VW) and threatens sunflower production worldwide. In this study, we conducted a comprehensive assessment of sunflower resistance to across 231 sunflower cultivar lines, from the Sunflower Association Mapping (SAM) population. We employed EMMAX and ridge regression best linear unbiased prediction (rrBLUP) and identified 148 quantitative trait loci (QTLs) and 23 putative genes associated with resistance, including receptor like kinases, cell wall modification, transcriptional regulation, plant stress signalling and defense regulation genes. Our enrichment and quantitative real-time PCR validation results highlight the importance of membrane vesicle trafficking in the sunflower immune system for efficient signaling and defense upon activation by . This study also reveals the polygenic architecture of resistance in sunflowers and provides insights for breeding sunflower cultivars resistant to VW. This research contributes to ongoing efforts to enhance crop resilience and reduce yield losses due to VW, ultimately benefiting sunflower growers and the agricultural sector.

摘要

向日葵()是一种具有全球重要意义的大田作物,抗病性对于确保产量稳定和作物品质至关重要。是一种臭名昭著的土传病原体,会引发黄萎病(VW)并威胁全球向日葵生产。在本研究中,我们对来自向日葵关联图谱(SAM)群体的231个向日葵栽培品系进行了全面的向日葵对抗性评估。我们采用了EMMAX和岭回归最佳线性无偏预测(rrBLUP),并鉴定出148个数量性状位点(QTL)和23个与抗性相关的推定基因,包括类受体激酶、细胞壁修饰、转录调控、植物胁迫信号传导和防御调控基因。我们的富集和定量实时PCR验证结果突出了膜泡运输在向日葵免疫系统中对于激活后高效信号传导和防御的重要性。本研究还揭示了向日葵抗性的多基因结构,并为培育抗VW的向日葵品种提供了见解。这项研究有助于持续努力提高作物抗逆性并减少因VW造成的产量损失,最终使向日葵种植者和农业部门受益。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da64/11434647/6c0833003bf1/plants-13-02582-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da64/11434647/8ba34af321b0/plants-13-02582-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da64/11434647/6c0833003bf1/plants-13-02582-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da64/11434647/8ba34af321b0/plants-13-02582-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da64/11434647/6c0833003bf1/plants-13-02582-g002.jpg

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The genomic basis of nitrogen utilization efficiency and trait plasticity to improve nutrient stress tolerance in cultivated sunflower.栽培向日葵中氮利用效率及性状可塑性以提高养分胁迫耐受性的基因组基础。
J Exp Bot. 2024 Apr 15;75(8):2527-2544. doi: 10.1093/jxb/erae025.
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Co-Expression Networks in Sunflower: Harnessing the Power of Multi-Study Transcriptomic Public Data to Identify and Categorize Candidate Genes for Fungal Resistance.
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