- Open Access
Comparative embryology without a microscope: using genomic approaches to understand the evolution of development
© BioMed Central Ltd 2009
- Published: 21 July 2009
Until recently, understanding developmental conservation and change has relied on embryological comparisons and analyses of single genes. Several studies, including one recently published in BMC Biology, have now taken a genomic approach to this classical problem, providing insights into how selection operates differentially across the life cycle.
- Early Development
- Sperm Competition
- Developmental Divergence
- Evolutionary Developmental Biology
- Strong Negative Selection
It is an idea as old as the study of development itself: embryos of different species are more similar during earlier stages than later ones . The first detailed descriptions came from Karl Ernst von Baer, whose meticulous observations of vertebrate embryos invented the field of developmental biology. Although von Baer's eponymous 'law' stating that early development is more conserved than later development was formulated without an explicit evolutionary context, Charles Darwin considered embryological similarity to be one of the most powerful forms of evidence for common descent when he wrote the Origin of Species. During the 150 years that have passed since that momentous publication, embryologists have uncovered numerous exceptions to von Baer's generalization . Yet it remains true that early development is often remarkably conserved among even distantly related species. Exactly why this should be so remains unclear.
An alternative view is that conservation in early development results from developmental 'buffering'. Following the pioneering work of Conrad Waddington, the argument is that development is an inherently self-correcting process that buffers the effects of variation early in the life cycle more than later. As a result, mutations affecting genes acting at some developmental stages are less likely to have phenotypic consequences. This leads to the appearance of conservation in early development despite a seemingly paradoxical relaxation of constraint for developmental genes expressed during conserved stages (Figure 1c).
A third view is that divergence in developmental programs happens only when there is an adaptive reason. Walter Garstang was among the first to argue that embryonic development can readily evolve when ecological circumstances demand it. Conservation is common, he argued, simply because embryonic development tends to happen away from the influence of the environment (for instance, within a uterus or an egg case), and is thus largely screened from positive selection. In this view, it is patterns of developmental divergence rather than conservation that are most interesting (Figure 1d).
These three views offer strikingly different pictures of the role that developmental changes have in origin of adaptations and organismal diversity. Discovering which view, or more likely which combination, best explains patterns of conservation and divergence in development is central to understanding the origins of animal diversity.
The advent of genome-scale datasets provides an exciting new approach for evaluating these views. This approach, which has now been applied in several studies [3–7], begins with measurements of transcript abundance throughout the genome (based on microarray or expressed sequence tag (EST) data) for several stages of development taken from one or (ideally) more species. Next, for each gene for which orthology can be confidently determined, the ratio of non-synonymous (dN) to synonymous (dS) substitutions between each species is calculated as a proxy for functional divergence relative to the underlying mutation rate. One can then search for differences in the average value of dN/dS for genes expressed at different stages of development, and test for stage-specific patterns of positive selection (dN/dS >1), negative selection (dN/dS <1), or drift (dN/dS = 1) predicted by the different views (Figure 1).
A recent study by Artieri et al.  is among the largest of this kind so far. It makes use of EST data from three developmental stages of Drosophila melanogaster (embryonic, pooled larval/pupal, and adult), sequence data from five species in the melanogaster subgroup, and thousands of randomly selected genes to examine how selective constraint changes as a function of developmental time. The results are intriguing: whereas genes expressed primarily in adults show some evidence of positive selection, genes classified as embryonic seem to be under strong negative selection, suggesting both that early development is highly constrained (the first viewpoint mentioned above; Figure 1b) and that adult adaptations are primarily the result of genes acting in adults (the third viewpoint; Figure 1d).
Similar studies in nematodes [4, 5] and vertebrates (zebrafish and mice ) failed to find differences in average dN/dS values at different points in embryonic development, whereas a previous study in Drosophila  found evidence for significantly stronger constraint (low dN/dS) among genes expressed in late embryogenesis than those expressed earlier in development or later in pupae or adults. These discrepancies suggest that differences in the modes of development used by these three taxa have evolutionary consequences. Two of the studies [4, 6] also found evidence that selection on copy number variation was stronger for genes expressed early in development, suggesting that changes in gene expression levels may disproportionately affect early development (a topic to which we return later). In addition, with one exception , the studies all found that genes expressed primarily in adults showed less evidence of constraint and more evidence of positive selection than genes expressed in earlier stages. In each case this particular trend was driven by positive selection acting on genes expressed specifically in testes.
Although these genome-scale analyses [3–7] are beginning to provide insights into the action of selection across development, the approach faces several challenges. One is that expression levels of many regulatory genes rise during development, whereas 'housekeeping' genes are more constant. As a result, early development can appear to be enriched for housekeeping genes, such as those required for mitosis. Housekeeping genes are, not surprisingly, highly conserved; this can result in a misleading picture of conservation in very early development, as one study has pointed out . Similarly, failing to correct for testis-specific genes can lead to a false impression, because positive selection on these genes is probably driven by sperm competition rather than stage-specific differences in selection per se.
Another important challenge arises from the fact that natural selection can operate on noncoding as well as coding sequences. Indeed, it is in the noncoding regulatory sequences around each gene that we might expect to find an important part of the genetic basis for divergence in expression among species. All the studies published so far have contrasted selection on coding sequences with gene expression across the life cycle. Methods now exist to test for selection in noncoding sequences , opening the door to analyses that incorporate selection on regulatory elements. This could provide insights that might be missed by analyses that consider only coding sequences.
These are exciting times for evolutionary biologists, as genome-scale datasets are applied to an ever-expanding range of problems. Understanding how and why natural selection operates differentially across development is among the first instances in which sequence and functional comparisons across the genome have been brought together to address a classical problem in evolutionary biology. The studies carried out so far [3–7] highlight some intriguing trends, especially concerning the potential impacts of changes in gene expression during early development. But this is just the beginning. Although there are some thorny technical problems that need to be addressed, the real promise lies in applying genome-scale data to a much wider range of species contrasts. How does the genome-wide distribution of selection across development change when closely related species occupy very different habitats or differ markedly in their life history? Sampling a wider range of species comparisons may solve one of the oldest conundrums in evolutionary developmental biology: why development is so often conserved across vast phylogenetic gulfs and yet sometimes spectacularly diverged among closely related species.
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