Department of Developmental and Cell Biology, University of California, Irvine, CA, 92697
Department of Computer Science, University of California, Irvine, CA, 92697.
G3 (Bethesda). 2019 Jul 9;9(7):2171-2182. doi: 10.1534/g3.118.200953.
Complex spatiotemporal gene expression patterns direct the development of the fertilized egg into an adult animal. Comparisons across species show that, in spite of changes in the underlying regulatory DNA sequence, developmental programs can be maintained across millions of years of evolution. Reciprocally, changes in gene expression can be used to generate morphological novelty. Distinguishing between changes in regulatory DNA that lead to changes in gene expression and those that do not is therefore a central goal of evolutionary developmental biology. Quantitative, spatially-resolved measurements of developmental gene expression patterns play a crucial role in this goal, enabling the detection of subtle phenotypic differences between species and the development of computations models that link the sequence of regulatory DNA to expression patterns. Here we report the generation of two atlases of cellular resolution gene expression measurements for the primary anterior-posterior patterning genes in and By combining these data sets with existing atlases for three other species, we detect subtle differences in the gene expression patterns and dynamics driving the highly conserved axis patterning system and delineate inter-species differences in the embryonic morphology. These data sets will be a resource for future modeling studies of the evolution of developmental gene regulatory networks.
复杂的时空基因表达模式指导受精卵发育成成年动物。跨物种的比较表明,尽管调控 DNA 序列的基础发生了变化,但发育程序可以在数百万年的进化过程中得以维持。反过来,基因表达的变化可以用来产生形态新颖性。因此,区分导致基因表达变化的调控 DNA 变化和不导致基因表达变化的调控 DNA 变化是进化发育生物学的一个核心目标。对发育基因表达模式进行定量、空间分辨测量在这一目标中起着至关重要的作用,使我们能够检测物种之间微妙的表型差异,并开发将调控 DNA 序列与表达模式联系起来的计算模型。在这里,我们报告了两个用于 和 主要前后模式形成基因的细胞分辨率基因表达测量图谱的生成。通过将这些数据集与另外三个 物种的现有图谱相结合,我们检测到驱动高度保守的轴模式形成系统的基因表达模式和动态的细微差异,并描绘出胚胎形态的种间差异。这些数据集将成为未来发育基因调控网络进化的建模研究的资源。