Phylogenetic analysis of developmental and postnatal mouse cell lineages

Area of Science:

• Developmental Biology
• Genetics
• Computational Biology

Background:

• Traditional fate mapping is limited in complex organisms like mice.
• Somatic mutations offer a potential marker for tracing cell lineages retrospectively.
• Phylogenetic inference can reconstruct evolutionary relationships from genetic data.

Purpose of the Study:

• To develop and apply a novel phylogenetic fate mapping technique for mice.
• To reconstruct developmental lineages from conception to adulthood.
• To investigate cell mixing, clonal growth, and cell turnover dynamics.

Main Methods:

• Cataloged genomic polymorphisms at 324 polyguanine tracts in nearly 300 mouse cells.
• Applied phylogenetic inference and network-based approaches to analyze lineage relationships.
• Studied cell turnover dynamics in postnatal tissues.

Main Results:

• Developed a model of mouse embryogenesis with early cell mixing followed by coherent clonal growth.
• Identified specific tissue cell populations originating from shared ancestral lineages.
• Investigated cell turnover rates in postnatal tissues, providing longitudinal lineage data.

Conclusions:

• Phylogenetic fate mapping is a viable method for detailed lineage reconstruction in complex organisms.
• The study provides novel insights into mouse embryogenesis and postnatal somatic processes.
• This approach offers a powerful tool for understanding developmental and somatic cell dynamics.