How single-cell genomics is changing evolutionary and developmental biology

• Verfasst von: Marioni, John C. [VerfasserIn]
• Verfasst von: Arendt, Detlev [VerfasserIn]
• Titel: How single-cell genomics is changing evolutionary and developmental biology
• Verf.angabe: John C. Marioni and Detlev Arendt
• Jahr: 2017
• Umfang: 17 S.
• Teil: volume:33
• Teil: year:2017
• Teil: number:1
• Teil: pages:537-553
• Teil: extent:17
• Fussnoten: First published as a Review in Advance on August 16, 2017 ; Gesehen am 04.10.2018
• Titel Quelle: Enthalten in: Annual review of cell and developmental biology
• Ort Quelle: Palo Alto, Calif. : Annual Reviews, 1995
• Jahr Quelle: 2017
• Band/Heft Quelle: 33(2017), 1, Seite 537-553
• ISSN Quelle: 1530-8995
• DOI: doi:10.1146/annurev-cellbio-100616-060818
• Datenträger: Online-Ressource
• Sprache: eng
• K10plus-PPN: 1581540469

Abstract

The recent flood of single-cell data not only boosts our knowledge of cells and cell types, but also provides new insight into development and evolution from a cellular perspective. For example, assaying the genomes of multiple cells during development reveals developmental lineage trees—the kinship lineage—whereas cellular transcriptomes inform us about the regulatory state of cells and their gradual restriction in potency—the Waddington lineage. Beyond that, the comparison of single-cell data across species allows evolutionary changes to be tracked at all stages of development from the zygote, via different kinds of stem cells, to the differentiating cells. We discuss recent insights into the evolution of stem cells and initial attempts to reconstruct the evolutionary cell type tree of the mammalian forebrain, for example, by the comparative analysis of neuron types in the mesencephalic floor. These studies illustrate the immense potential of single-cell genomics to open up a new era in developmental and evolutionary research.