Lineage tracing of human embryonic development and foetal haematopoiesis through somatic mutations

To date, ontogeny of the human haematopoietic system during foetal development has been characterized mainly through careful microscopic observations. Here we used whole-genome sequencing (WGS) of 511 single-cell derived haematopoietic colonies from healthy human foetuses of 8 and 18 post-conception weeks (pcw) coupled with deep targeted sequencing of tissues of known embryonic origin to reconstruct a phylogenetic tree of blood development. We found that in healthy foetuses, individual haematopoietic progenitors acquire tens of somatic mutations by 18 pcw. Using these mutations as barcodes, we timed the divergence of embryonic and extra-embryonic tissues during development and estimated the number of blood antecedents at different stages of embryonic development. Our analysis has shown that ectoderm originates from a smaller set of blood antecedents compared to endoderm and mesoderm. Finally, our data support a hypoblast origin of the extra-embryonic mesoderm and primitive blood in humans.

[1]  M. Zernicka-Goetz,et al.  Comparative analysis of human and mouse development: From zygote to pre-gastrulation. , 2020, Current topics in developmental biology.

[2]  Yun Zheng,et al.  A developmental landscape of 3D-cultured human pre-gastrulation embryos , 2019, Nature.

[3]  Alexander van Oudenaarden,et al.  Unravelling cellular relationships during development and regeneration using genetic lineage tracing , 2019, Nature Reviews Molecular Cell Biology.

[4]  M. Stratton,et al.  The landscape of somatic mutation in normal colorectal epithelial cells , 2018, Nature.

[5]  Melissa M. Harrison,et al.  Mechanisms regulating zygotic genome activation , 2018, Nature Reviews Genetics.

[6]  Peter J. Campbell,et al.  Population dynamics of normal human blood inferred from somatic mutations , 2018, Nature.

[7]  A. Y. Ye,et al.  A model for postzygotic mosaicisms quantifies the allele fraction drift, mutation rate, and contribution to de novo mutations , 2018, Genome research.

[8]  Xuepeng Wang,et al.  Chromatin analysis in human early development reveals epigenetic transition during ZGA , 2018, Nature.

[9]  A. von Haeseler,et al.  MPBoot: fast phylogenetic maximum parsimony tree inference and bootstrap approximation , 2018, BMC Evolutionary Biology.

[10]  Alexander Medvinsky,et al.  Human haematopoietic stem cell development: from the embryo to the dish , 2017, Development.

[11]  M. Hurles,et al.  Somatic mutations reveal asymmetric cellular dynamics in the early human embryo , 2017, Nature.

[12]  L. Steinmetz,et al.  Human haematopoietic stem cell lineage commitment is a continuous process , 2017, Nature Cell Biology.

[13]  Janet Rossant,et al.  New Insights into Early Human Development: Lessons for Stem Cell Derivation and Differentiation. , 2017, Cell stem cell.

[14]  I Lex Comber,et al.  Spatial Analysis , 2017, Encyclopedia of GIS.

[15]  David Jones,et al.  cgpCaVEManWrapper: Simple Execution of CaVEMan in Order to Detect Somatic Single Nucleotide Variants in NGS Data , 2016, Current protocols in bioinformatics.

[16]  Hans Clevers,et al.  Tissue-specific mutation accumulation in human adult stem cells during life , 2016, Nature.

[17]  Keiran M Raine,et al.  cgpPindel: Identifying Somatically Acquired Insertion and Deletion Events from Paired End Sequencing , 2015, Current protocols in bioinformatics.

[18]  M. Stratton,et al.  Clock-like mutational processes in human somatic cells , 2015, Nature Genetics.

[19]  Francesca Chiaromonte,et al.  Segmenting the human genome based on states of neutral genetic divergence , 2013, Proceedings of the National Academy of Sciences.

[20]  B. Schuster-Böckler,et al.  Chromatin organization is a major influence on regional mutation rates in human cancer cells , 2012, Nature.

[21]  Jeremy Wazny,et al.  Xenome—a tool for classifying reads from xenograft samples , 2012, Bioinform..

[22]  Alan Hodgkinson,et al.  Variation in the mutation rate across mammalian genomes , 2011, Nature Reviews Genetics.

[23]  Trevor J Pugh,et al.  Initial genome sequencing and analysis of multiple myeloma , 2011, Nature.

[24]  Elizabeth J. Robertson,et al.  Making a commitment: cell lineage allocation and axis patterning in the early mouse embryo , 2009, Nature Reviews Molecular Cell Biology.

[25]  J. Palis,et al.  Yolk-sac hematopoiesis: the first blood cells of mouse and man. , 2001, Experimental hematology.

[26]  J. Palis,et al.  Initiation of murine embryonic erythropoiesis: a spatial analysis. , 1997, Blood.

[27]  L. Humeau,et al.  Early ontogeny of the human marrow from long bones: an immunohistochemical study of hematopoiesis and its microenvironment. , 1996, Blood.

[28]  A. Enders,et al.  Formation and differentiation of extraembryonic mesoderm in the rhesus monkey. , 1988, The American journal of anatomy.

[29]  Professor Dr. Endre Kelemen,et al.  Atlas of Human Hemopoietic Development , 1979, Springer Berlin Heidelberg.

[30]  W. Luckett Origin and differentiation of the yolk sac and extraembryonic mesoderm in presomite human and rhesus monkey embryos. , 1978, The American journal of anatomy.

[31]  Joel C. Kleinman,et al.  Proportions with Extraneous Variance: Single and Independent Samples , 1973 .