Department of Biology, Stanford University, Stanford, CA 94305, USA.
Neurosciences Program, Stanford University, Stanford, CA 94305, USA.
Science. 2020 Dec 18;370(6523). doi: 10.1126/science.abd5059.
How have complex brains evolved from simple circuits? Here we investigated brain region evolution at cell-type resolution in the cerebellar nuclei, the output structures of the cerebellum. Using single-nucleus RNA sequencing in mice, chickens, and humans, as well as STARmap spatial transcriptomic analysis and whole-central nervous system projection tracing, we identified a conserved cell-type set containing two region-specific excitatory neuron classes and three region-invariant inhibitory neuron classes. This set constitutes an archetypal cerebellar nucleus that was repeatedly duplicated to form new regions. The excitatory cell class that preferentially funnels information to lateral frontal cortices in mice becomes predominant in the massively expanded human lateral nucleus. Our data suggest a model of brain region evolution by duplication and divergence of entire cell-type sets.
复杂的大脑是如何从简单的电路进化而来的?在这里,我们以细胞类型分辨率研究了小脑核的脑区进化,小脑核是小脑的输出结构。我们使用小鼠、鸡和人类的单细胞 RNA 测序,以及 STARmap 空间转录组分析和全中枢神经系统投射追踪,鉴定出了一个保守的细胞类型集,其中包含两种具有区域特异性的兴奋性神经元类和三种具有区域不变性的抑制性神经元类。这个集合构成了一个典型的小脑核,它被反复复制以形成新的区域。在小鼠中优先将信息传递到外侧额皮质的兴奋性细胞类在人类的外侧核中变得占主导地位。我们的数据表明,通过整个细胞类型集的复制和分化来实现脑区进化的模型。