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应用表型组学和基因组学提高冬小麦对黄矮病的抗性。

Applied phenomics and genomics for improving barley yellow dwarf resistance in winter wheat.

机构信息

Department of Plant Pathology, College of Agriculture, Kansas State University, Manhattan, KS 66506, USA.

Programa Nacional de Cultivos de Secano, Instituto Nacional de Investigación Agropecuaria (INIA), Estación Experimental La Estanzuela, Colonia 70006, Uruguay.

出版信息

G3 (Bethesda). 2022 Jul 6;12(7). doi: 10.1093/g3journal/jkac064.

Abstract

Barley yellow dwarf is one of the major viral diseases of cereals. Phenotyping barley yellow dwarf in wheat is extremely challenging due to similarities to other biotic and abiotic stresses. Breeding for resistance is additionally challenging as the wheat primary germplasm pool lacks genetic resistance, with most of the few resistance genes named to date originating from a wild relative species. The objectives of this study were to (1) evaluate the use of high-throughput phenotyping to improve barley yellow dwarf assessment; (2) identify genomic regions associated with barley yellow dwarf resistance; and (3) evaluate the ability of genomic selection models to predict barley yellow dwarf resistance. Up to 107 wheat lines were phenotyped during each of 5 field seasons under both insecticide treated and untreated plots. Across all seasons, barley yellow dwarf severity was lower within the insecticide treatment along with increased plant height and grain yield compared with untreated entries. Only 9.2% of the lines were positive for the presence of the translocated segment carrying the resistance gene Bdv2. Despite the low frequency, this region was identified through association mapping. Furthermore, we mapped a potentially novel genomic region for barley yellow dwarf resistance on chromosome 5AS. Given the variable heritability of the trait (0.211-0.806), we obtained a predictive ability for barley yellow dwarf severity ranging between 0.06 and 0.26. Including the presence or absence of Bdv2 as a covariate in the genomic selection models had a large effect for predicting barley yellow dwarf but almost no effect for other observed traits. This study was the first attempt to characterize barley yellow dwarf using field-high-throughput phenotyping and apply genomic selection to predict disease severity. These methods have the potential to improve barley yellow dwarf characterization, additionally identifying new sources of resistance will be crucial for delivering barley yellow dwarf resistant germplasm.

摘要

大麦黄花叶病是谷类作物的主要病毒性疾病之一。由于与其他生物和非生物胁迫相似,在小麦中表型鉴定大麦黄花叶病极具挑战性。由于小麦主要种质资源库缺乏遗传抗性,且迄今为止命名的大多数少数抗性基因都来自野生近缘种,因此培育抗性更加具有挑战性。本研究的目的是:(1)评估高通量表型分析在提高大麦黄花叶病评估中的应用;(2)鉴定与大麦黄花叶病抗性相关的基因组区域;(3)评估基因组选择模型预测大麦黄花叶病抗性的能力。在 5 个田间季节的每个季节中,最多有 107 个小麦品系在经过杀虫剂处理和未处理的地块中进行了表型分析。在所有季节中,与未处理的品系相比,在杀虫剂处理下,大麦黄花叶病的严重程度较低,同时植株高度和籽粒产量增加。只有 9.2%的品系对携带抗性基因 Bdv2 的易位片段呈阳性。尽管该区域的出现频率较低,但通过关联作图对其进行了鉴定。此外,我们还在 5AS 染色体上定位到了一个可能与大麦黄花叶病抗性相关的新基因组区域。鉴于该性状的遗传力(0.211-0.806)存在差异,我们获得了大麦黄花叶病严重程度的预测能力,范围在 0.06 到 0.26 之间。在基因组选择模型中包含 Bdv2 的存在或缺失作为协变量,对预测大麦黄花叶病有很大影响,但对其他观察到的性状几乎没有影响。本研究首次尝试使用田间高通量表型分析来描述大麦黄花叶病,并应用基因组选择来预测疾病严重程度。这些方法有可能改善大麦黄花叶病的特征描述,此外,鉴定新的抗性来源对于提供大麦黄花叶病抗性种质资源至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef17/9258586/cd8c1ad81b38/jkac064f1.jpg

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