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Lineage analysis by microsatellite loci deep sequencing in mice
Author(s) -
Luo Tao,
He Xionglei,
Xing Ke
Publication year - 2016
Publication title -
molecular reproduction and development
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.745
H-Index - 105
eISSN - 1098-2795
pISSN - 1040-452X
DOI - 10.1002/mrd.22632
Subject(s) - biology , microsatellite , lineage (genetic) , genetics , evolutionary biology , computational biology , deep sequencing , gene , genome , allele
SUMMARY Lineage analysis is the identification of all the progeny of a single progenitor cell, and has become particularly useful for studying developmental processes and cancer biology. Here, we propose a novel and effective method for lineage analysis that combines sequence capture and next‐generation sequencing technology. Genome‐wide mononucleotide and dinucleotide microsatellite loci in eight samples from two mice were identified and used to construct phylogenetic trees based on somatic indel mutations at these loci, which were unique enough to distinguish and parse samples from different mice into different groups along the lineage tree. For example, biopsies from the liver and stomach, which originate from the endoderm, were located in the same clade, while samples in kidney, which originate from the mesoderm, were located in another clade. Yet, tissue with a common developmental origin may still contain cells of a mixed ancestry. This genome‐wide approach thus provides a non‐invasive lineage analysis method based on mutations that accumulate in the genomes of opaque multicellular organism somatic cells. Mol. Reprod. Dev. 83: 387–391, 2016. © 2016 Wiley Periodicals, Inc .