Galewski Paul, Funk Andrew, McGrath J Mitchell
United States Department of Agriculture - Agricultural Research Service (USDA-ARS) Northwest Irrigation and Soils Research Laboratory, Kimberly, ID, United States.
Department of Plant, Soil, and Microbial Science, Plant Breeding, Genetics, and Biotechnology Program, Michigan State University, East Lansing, MI, United States.
Front Plant Sci. 2022 Jan 13;12:785267. doi: 10.3389/fpls.2021.785267. eCollection 2021.
Understanding the genetic basis of polygenic traits is a major challenge in agricultural species, especially in non-model systems. Select and sequence (SnS) experiments carried out within existing breeding programs provide a means to simultaneously identify the genomic background of a trait while improving the mean phenotype for a population. Using pooled whole genome sequencing (WGS) of selected and unselected bulks derived from a synthetic outcrossing sugar beet population EL57 (PI 663212), which segregates for seedling rhizoctonia resistance, we identified a putative genomic background involved in conditioning a resistance phenotype. Population genomic parameters were estimated to measure fixation (), genome divergence ( ), and allele frequency changes between bulks (DeltaAF). We report on the genome wide patterns of variation resulting from selection and highlight specific genomic features associated with resistance. Expected heterozygosity () showed an increased level of fixation in the resistant bulk, indicating a greater selection pressure was applied. In total, 1,311 biallelic loci were detected as significant F outliers ( < 0.01) in comparisons between the resistant and susceptible bulks. These loci were detected in 206 regions along the chromosomes and contained 275 genes. We estimated changes in allele frequency between bulks resulting from selection for resistance by leveraging the allele frequencies of an unselected bulk. DeltaAF was a more stringent test of selection and recovered 186 significant loci, representing 32 genes, all of which were also detected using F. Estimates of population genetic parameters and statistical significance were visualized with respect to the EL10.2 physical map and produced a candidate gene list that was enriched for function in cell wall metabolism and plant disease resistance, including pathogen perception, signal transduction, and pathogen response. Specific variation associated with these genes was also reported and represents genetic markers for validation and prediction of resistance to Rhizoctonia. Select and sequence experiments offer a means to characterize the genetic base of sugar beet, inform selection within breeding programs, and prioritize candidate variation for functional studies.
了解多基因性状的遗传基础是农业物种面临的一项重大挑战,尤其是在非模式系统中。在现有育种计划中开展的选择与测序(SnS)实验提供了一种手段,可在提高群体平均表型的同时,识别某一性状的基因组背景。利用从合成异交甜菜群体EL57(PI 663212)中选取的和未选取的混合样本进行全基因组测序(WGS),该群体在幼苗立枯丝核菌抗性方面存在分离,我们确定了一个与抗性表型相关的假定基因组背景。估计群体基因组参数以衡量固定率()、基因组差异()以及混合样本间的等位基因频率变化(DeltaAF)。我们报告了选择导致的全基因组变异模式,并突出显示了与抗性相关的特定基因组特征。预期杂合度()在抗性混合样本中显示出更高的固定水平,表明施加了更大的选择压力。在抗性与感病混合样本的比较中,总共检测到1311个双等位基因座为显著的F异常值(<0.01)。这些基因座在沿染色体的206个区域中被检测到,包含275个基因。我们通过利用未选取混合样本的等位基因频率,估计了因选择抗性而导致的混合样本间等位基因频率的变化。DeltaAF是一种更严格的选择检验,识别出186个显著基因座,代表32个基因,所有这些基因座也通过F检验被检测到。关于群体遗传参数和统计显著性的估计相对于EL10.2物理图谱进行了可视化展示,并生成了一个候选基因列表,这些基因在细胞壁代谢和植物抗病性方面功能富集,包括病原体感知、信号转导和病原体反应。还报告了与这些基因相关的特定变异,这些变异代表了用于验证和预测立枯丝核菌抗性的遗传标记。选择与测序实验提供了一种手段,可用于表征甜菜的遗传基础、为育种计划中的选择提供信息,并为功能研究确定候选变异的优先级。