利用全基因组关联研究剖析葡萄采收前后性状的复杂遗传基础。

IF 7.6 Q1 GENETICS & HEREDITY
园艺研究(英文) Pub Date : 2024-01-03 eCollection Date: 2024-02-01 DOI:10.1093/hr/uhad283
Julian García-Abadillo, Paola Barba, Tiago Carvalho, Viviana Sosa-Zuñiga, Roberto Lozano, Humberto Fanelli Carvalho, Miguel Garcia-Rojas, Erika Salazar, Julio Isidro Y Sánchez
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引用次数: 0

摘要

要应对农业领域的紧迫挑战,就必须迅速推进育种计划,尤其是像葡萄这样的多年生作物。我们超越了传统的双亲数量性状位点(QTL)图谱,开展了一项全基因组关联研究(GWAS),涵盖了智利育种计划中的 588 个葡萄品种,跨越三个季节,测试了 13 个与产量相关的关键性状。一个强候选基因 Vitvi11g000454 位于第 11 号染色体上,通过茉莉酸信号转导与植物对生物和非生物胁迫的响应有关,该基因与浆果宽度相关,具有在葡萄育种中提高浆果大小的潜力。我们还在 2、4、9、11、15、18 和 19 号染色体上绘制了与采后性状相关的新型 QTL,从而拓宽了我们对决定果实采后行为(包括腐烂、干瘪和重量损失)的遗传复杂性的掌握。利用基因本体注释,我们得出了性状与候选基因之间的相似之处,为今后植物育种中的性状特征鉴定工作奠定了坚实的基础。我们还强调了在 GWAS 分析中仔细考虑响应变量选择的重要性,因为在我们的研究中使用最佳线性无偏估计值(BLUEs)校正可能会导致葡萄性状中一些常见 QTL 的抑制。我们的研究结果强调了针对长期保存性状开创非破坏性评价技术的必要性,为葡萄育种者和栽培者提供了提高采后鲜食葡萄质量和最大限度减少浪费的真知灼见。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dissecting the complex genetic basis of pre- and post-harvest traits in Vitis vinifera L. using genome-wide association studies.

Addressing the pressing challenges in agriculture necessitates swift advancements in breeding programs, particularly for perennial crops like grapevines. Moving beyond the traditional biparental quantitative trait loci (QTL) mapping, we conducted a genome-wide association study (GWAS) encompassing 588 Vitis vinifera L. cultivars from a Chilean breeding program, spanning three seasons and testing 13 key yield-related traits. A strong candidate gene, Vitvi11g000454, located on chromosome 11 and related to plant response to biotic and abiotic stresses through jasmonic acid signaling, was associated with berry width and holds potential for enhancing berry size in grape breeding. We also mapped novel QTL associated with post-harvest traits across chromosomes 2, 4, 9, 11, 15, 18, and 19, broadening our grasp on the genetic intricacies dictating fruit post-harvest behavior, including decay, shriveling, and weight loss. Leveraging gene ontology annotations, we drew parallels between traits and scrutinized candidate genes, laying a robust groundwork for future trait-feature identification endeavors in plant breeding. We also highlighted the importance of carefully considering the choice of the response variable in GWAS analyses, as the use of best linear unbiased estimators (BLUEs) corrections in our study may have led to the suppression of some common QTL in grapevine traits. Our results underscore the imperative of pioneering non-destructive evaluation techniques for long-term conservation traits, offering grape breeders and cultivators insights to improve post-harvest table grape quality and minimize waste.

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