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G3 (Bethesda). 2019 Jul 9;9(7):2171-2182. doi: 10.1534/g3.118.200953.

Quantitative Comparison of the Anterior-Posterior Patterning System in the Embryos of Five Drosophila Species.

Author information

1
Department of Developmental and Cell Biology, University of California, Irvine, CA, 92697 zeba@uci.edu.
2
Department of Computer Science, University of California, Irvine, CA, 92697.
3
Department of Systems Biology, Harvard Medical School, Boston, MA, 20115.
4
Department of Developmental and Cell Biology, University of California, Irvine, CA, 92697.

Abstract

Complex spatiotemporal gene expression patterns direct the development of the fertilized egg into an adult animal. Comparisons across species show that, in spite of changes in the underlying regulatory DNA sequence, developmental programs can be maintained across millions of years of evolution. Reciprocally, changes in gene expression can be used to generate morphological novelty. Distinguishing between changes in regulatory DNA that lead to changes in gene expression and those that do not is therefore a central goal of evolutionary developmental biology. Quantitative, spatially-resolved measurements of developmental gene expression patterns play a crucial role in this goal, enabling the detection of subtle phenotypic differences between species and the development of computations models that link the sequence of regulatory DNA to expression patterns. Here we report the generation of two atlases of cellular resolution gene expression measurements for the primary anterior-posterior patterning genes in Drosophila simulans and Drosophila virilis By combining these data sets with existing atlases for three other Drosophila species, we detect subtle differences in the gene expression patterns and dynamics driving the highly conserved axis patterning system and delineate inter-species differences in the embryonic morphology. These data sets will be a resource for future modeling studies of the evolution of developmental gene regulatory networks.

KEYWORDS:

Drosophila; embryo; evo-devo; gene expression; gene regulatory network

PMID:
31048401
DOI:
10.1534/g3.118.200953
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