Jiang Libo, Shi Hexin, Sang Mengmeng, Zheng Chenfei, Cao Yige, Zhu Xuli, Zhuo Xiaokang, Cheng Tangren, Zhang Qixiang, Wu Rongling, Sun Lidan
Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Center for Computational Biology, College of Biological Sciences and Biotechnology, Beijing Forestry University, Beijing, China.
Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing Key Laboratory of Ornamental Plants Germplasm Innovation & Molecular Breeding, National Engineering Research Center for Floriculture, Beijing Laboratory of Urban and Rural Ecological Environment, College of Landscape Architecture, Beijing Forestry University, Beijing, China.
Front Plant Sci. 2019 Dec 18;10:1557. doi: 10.3389/fpls.2019.01557. eCollection 2019.
How one trait developmentally varies as a function of others shapes a spectrum of biological phenomena. Despite its importance to trait dissection, the understanding of whether and how genes mediate such developmental covariation is poorly understood. We integrate developmental allometry equations into the functional mapping framework to map specific QTLs that govern the correlated development of different traits. Based on evolutionary game theory, we assemble and contextualize these QTLs into an intricate but organized network coded by bidirectional, signed, and weighted QTL-QTL interactions. We use this approach to map shoot height-diameter allometry QTLs in an ornamental woody species, mei (). We detect "pioneering" QTLs (piQTLs) and "maintaining" QTLs (miQTLs) that determine how shoot height varies with diameter and how shoot diameter varies with height, respectively. The QTL networks inferred can visualize how each piQTL regulates others to promote height growth at a cost of diameter growth, how miQTL regulates others to benefit radial growth at a cost of height growth, and how piQTLs and miQTLs regulate each other to form a pleiotropic web of primary and secondary growth in trees. Our approach provides a unique gateway to explore the genetic architecture of developmental covariation, a widespread phenomenon in nature.
一个性状如何随着其他性状的发育而变化，塑造了一系列生物学现象。尽管这对于性状剖析很重要，但对于基因是否以及如何介导这种发育共变的理解却非常有限。我们将发育异速生长方程整合到功能定位框架中，以定位控制不同性状相关发育的特定数量性状基因座（QTL）。基于进化博弈论，我们将这些QTL组装并置于一个由双向、有符号和加权的QTL-QTL相互作用编码的复杂但有组织的网络中。我们使用这种方法在一种观赏木本植物——梅（Prunus mume）中定位茎高-直径异速生长QTL。我们检测到分别决定茎高如何随直径变化以及茎直径如何随高度变化的“开拓性”QTL（piQTL）和“维持性”QTL（miQTL）。推断出的QTL网络可以可视化每个piQTL如何调节其他QTL以促进高度生长但以直径生长为代价，miQTL如何调节其他QTL以促进径向生长但以高度生长为代价，以及piQTL和miQTL如何相互调节以形成树木初级和次级生长的多效性网络。我们的方法为探索发育共变的遗传结构提供了一个独特的途径，发育共变是自然界中一种普遍存在的现象。
