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Cell Lineage Analysis of the Mammalian Female Germline

Abstract

Fundamental aspects of embryonic and post-natal development, including maintenance of the mammalian female germline, are largely unknown. Here we employ a retrospective, phylogenetic-based method for reconstructing cell lineage trees utilizing somatic mutations accumulated in microsatellites, to study female germline dynamics in mice. Reconstructed cell lineage trees can be used to estimate lineage relationships between different cell types, as well as cell depth (number of cell divisions since the zygote). We show that, in the reconstructed mouse cell lineage trees, oocytes form clusters that are separate from hematopoietic and mesenchymal stem cells, both in young and old mice, indicating that these populations belong to distinct lineages. Furthermore, while cumulus cells sampled from different ovarian follicles are distinctly clustered on the reconstructed trees, oocytes from the left and right ovaries are not, suggesting a mixing of their progenitor pools. We also observed an increase in oocyte depth with mouse age, which can be explained either by depth-guided selection of oocytes for ovulation or by post-natal renewal. Overall, our study sheds light on substantial novel aspects of female germline preservation and development.

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References
1.
Frumkin D, Wasserstrom A, Itzkovitz S, Stern T, Harmelin A, Eilam R . Cell lineage analysis of a mouse tumor. Cancer Res. 2008; 68(14):5924-31. DOI: 10.1158/0008-5472.CAN-07-6216. View

2.
da Silva-Buttkus P, Marcelli G, Franks S, Stark J, Hardy K . Inferring biological mechanisms from spatial analysis: prediction of a local inhibitor in the ovary. Proc Natl Acad Sci U S A. 2009; 106(2):456-61. PMC: 2626724. DOI: 10.1073/pnas.0810012106. View

3.
Saitou M, Payer B, OCarroll D, Ohinata Y, Surani M . Blimp1 and the emergence of the germ line during development in the mouse. Cell Cycle. 2005; 4(12):1736-40. DOI: 10.4161/cc.4.12.2209. View

4.
Busuttil R, Garcia A, Reddick R, Dolle M, Calder R, Nelson J . Intra-organ variation in age-related mutation accumulation in the mouse. PLoS One. 2007; 2(9):e876. PMC: 1964533. DOI: 10.1371/journal.pone.0000876. View

5.
Molyneaux K, Wylie C . Primordial germ cell migration. Int J Dev Biol. 2004; 48(5-6):537-44. DOI: 10.1387/ijdb.041833km. View