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×砧木中活力及对三种病害抗性的QTL共定位

Co-Location of QTL for Vigor and Resistance to Three Diseases in × Rootstocks.

作者信息

Saxe Houston J, Leslie Charles A, Brown Patrick J, Westphal Andreas, Kluepfel Daniel A, Browne Gregory T, Dandekar Abhaya M

机构信息

Department of Plant Sciences, University of California, Davis, CA 95616, USA.

Department of Nematology, University of California, Riverside, CA 92521, USA.

出版信息

Int J Mol Sci. 2025 Jan 22;26(3):903. doi: 10.3390/ijms26030903.

Abstract

A QTL on chromosome 4D of the × genome that co-located resistance against , and disease scores was investigated for additional traits. Phenotypic data for counts and tree height were analyzed in this study for the same hybrids previously used to identify this QTL. Using the same GBS genotype data, the same co-located QTL for and spp. disease scores were reproduced and the QTL for counts and tree height were co-located with resistance to and spp. Moreover, we found GBS genotype data to harbor additional genetic variation unrelated to any of the traits analyzed. Marker-assisted and genomic selection models were created and assessed for their performance in selection. The ability to predict traits using SNP data was strongest with two-year tree height, followed by disease score, three-year tree height, spp. disease score, and counts. These results suggest a shared mechanism of action that links disease to tree height. Moreover, deploying these selection models would assist efforts in walnut improvement for rootstock genotypes.

摘要

对×基因组4D染色体上一个与抗、和疾病评分共定位的QTL进行了其他性状研究。本研究分析了之前用于鉴定该QTL的相同杂交种的计数和树高的表型数据。使用相同的简化基因组测序(GBS)基因型数据,重现了与和 spp. 疾病评分相同的共定位QTL,并且计数和树高的QTL与对和 spp. 的抗性共定位。此外,我们发现GBS基因型数据含有与所分析的任何性状均无关的额外遗传变异。创建并评估了标记辅助和基因组选择模型在选择中的性能。使用单核苷酸多态性(SNP)数据预测性状的能力在两年树高方面最强,其次是疾病评分、三年树高、spp. 疾病评分和计数。这些结果表明存在一种将疾病与树高联系起来的共同作用机制。此外,部署这些选择模型将有助于核桃砧木基因型改良工作。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e432/11817649/c1f079ebc66f/ijms-26-00903-g001.jpg

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