Montpellier SupAgro, UMR AGAP, Equipe AFEF, Avenue Agropolis, Montpellier, France.
New Phytol. 2011 Oct;192(2):378-92. doi: 10.1111/j.1469-8137.2011.03823.x. Epub 2011 Jul 19.
The present study investigates the genetic determinism of bud phenological traits using two segregating F(1) apple (Malus × domestica) progenies. Phenological trait variability was dissected into genetic and climatic components using mixed linear modeling, and estimated best linear unbiased predictors were used for quantitative trait locus (QTL) detection. For flowering dates, year effects were decomposed into chilling and heat requirements based on a previously developed model. QTL analysis permitted the identification of two major and population-specific genomic regions on LG08 and LG09. Both 'chilling requirement' and 'heat requirement' periods influenced flowering dates, although their relative impact was dependent on the genetic background. Using the apple genome sequence data, putative candidate genes underlying one major QTL were investigated. Numerous key genes involved in cell cycle control were identified in clusters within the confidence interval of the major QTL on LG09. Our results contribute towards a better understanding of the interaction between QTLs and climatic conditions, and provide a basis for the identification of genes involved in bud growth resumption.
本研究利用两个分离的 F1 苹果(Malus × domestica)后代,探讨了芽物候特征的遗传决定因素。使用混合线性模型将物候特征的变异性分解为遗传和气候成分,并使用最佳线性无偏预测值进行数量性状基因座(QTL)检测。对于开花日期,根据先前开发的模型,将年效应分解为需冷量和需热量。QTL 分析允许在 LG08 和 LG09 上鉴定两个主要的、种群特异性的基因组区域。“需冷量”和“需热量”期都影响开花日期,尽管它们的相对影响取决于遗传背景。利用苹果基因组序列数据,对一个主要 QTL 下的潜在候选基因进行了研究。在 LG09 上主要 QTL 的置信区间内的聚类中鉴定出了许多涉及细胞周期控制的关键基因。我们的研究结果有助于更好地理解 QTL 与气候条件之间的相互作用,并为鉴定参与芽生长恢复的基因提供了基础。