Mapping single-cell-resolution cell phylogeny reveals cell population dynamics during organ development.

Area of Science:

• Developmental Biology
• Genetics
• Bioinformatics

Background:

• Mapping cell phylogeny in complex organisms is crucial for understanding development and disease.
• Current cell barcoding methods offer limited resolution due to low mutation recording capacity.

Purpose of the Study:

• To develop a novel lineage-tracing system with enhanced resolution for mapping cell phylogeny.
• To apply this system to Drosophila melanogaster to generate high-quality cell phylogenetic trees.

Main Methods:

• Developed SMALT (substitution mutation-aided lineage-tracing), a system leveraging accumulated somatic mutations.
• Applied SMALT to Drosophila melanogaster, achieving over 20 mutations per barcoding sequence in adult cells.
• Constructed high-resolution cell phylogenetic trees with thousands of nodes and high bootstrap support.

Main Results:

• SMALT significantly outperforms existing cell barcoding methods in mapping cell phylogeny.
• Generated detailed cell phylogenetic trees for Drosophila melanogaster.
• Enabled population genetic analysis to estimate the dynamics of actively dividing parental cells (Np) during development.

Conclusions:

• SMALT provides a powerful tool for high-resolution cell lineage tracing in complex organisms.
• The derived cell phylogenies offer insights into developmental cell dynamics and division strategies.
• This method advances our understanding of organismal development and population genetics.