Reese Benjamin E, Keeley Patrick W
Neuroscience Research Institute, University of California, Santa Barbara, CA 93106-5060, USA; Departments of Psychological & Brain Sciences, University of California, Santa Barbara, CA 93106-9660, USA.
Neuroscience Research Institute, University of California, Santa Barbara, CA 93106-5060, USA; Departments of Molecular, Cellular & Developmental Biology, University of California, Santa Barbara, CA 93106-9625, USA.
Prog Retin Eye Res. 2016 Nov;55:246-259. doi: 10.1016/j.preteyeres.2016.07.003. Epub 2016 Aug 1.
The mature retinal architecture is composed of various types of neuron, each population differing in size and constrained to particular layers, wherein the cells achieve a characteristic patterning in their local organization. These demographic features of retinal nerve cell populations are each complex traits controlled by multiple genes affecting different processes during development, and their genetic determinants can be dissected by correlating variation in these traits with their genomic architecture across recombinant-inbred mouse strains. Using such a resource, we consider how the variation in the numbers of twelve different types of retinal neuron are independent of one another, including those sharing transcriptional regulation as well as those that are synaptically-connected, each mapping to distinct genomic loci. Using the populations of two retinal interneurons, the horizontal cells and the cholinergic amacrine cells, we present in further detail examples where the variation in neuronal number, as well as the variation in mosaic patterning or in laminar positioning, each maps to discrete genomic loci where allelic variants modulating these features must be present. At those loci, we identify candidate genes which, when rendered non-functional, alter those very demographic properties, and in turn, we identify candidate coding or regulatory variants that alter protein structure or gene expression, respectively, being prospective contributors to the variation in phenotype. This forward-genetic approach provides an alternative means for dissecting the molecular genetic control of neuronal population dynamics, with each genomic locus serving as a causal anchor from which we may ultimately understand the developmental principles responsible for the control of those traits.
成熟的视网膜结构由多种类型的神经元组成,每类神经元在大小上有所不同,并局限于特定的层中,在这些层中细胞在其局部组织中形成特征性模式。视网膜神经细胞群体的这些人口统计学特征均为复杂性状,由多个影响发育过程中不同进程的基因所控制,并且可以通过将这些性状的变异与其在重组近交小鼠品系中的基因组结构进行关联分析,来剖析其遗传决定因素。利用这样一种资源,我们研究了十二种不同类型视网膜神经元数量的变异是如何彼此独立的,包括那些共享转录调控的神经元以及那些存在突触连接的神经元,每种神经元都映射到不同的基因组位点。利用两种视网膜中间神经元群体,即水平细胞和胆碱能无长突细胞,我们进一步详细展示了实例,其中神经元数量的变异,以及镶嵌模式或层状定位的变异,均映射到离散的基因组位点,在这些位点必定存在调节这些特征的等位基因变体。在这些位点,我们鉴定出了一些候选基因,当这些基因丧失功能时,会改变那些确切的人口统计学特性,进而,我们分别鉴定出了改变蛋白质结构或基因表达的候选编码或调控变体,它们可能是表型变异的潜在贡献因素。这种正向遗传学方法为剖析神经元群体动态的分子遗传控制提供了一种替代手段,每个基因组位点都作为一个因果锚点,由此我们最终或许能够理解负责控制那些性状的发育原理。