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Neural crest is a vertebrate-specific population of embryonic precursor cells thought to have been essential in vertebrate evolution. During development, a group of naïve ectoderm cells are induced to become neural crest and then undergo series of developmental events to give rise to diverse derivatives. Failure of these events often leads to malfunction of neural crest derived tissues and organs. This thesis focuses on the genetic regulation of two events during neural crest development, induction and differentiation. Neural crest induction refers to the specification of ectoderm cells to the neural crest lineage. It is believed that combinatorial activity of transcription factors governs neural crest induction, but the function of specific transcription factors in this process are not yet clear. The AP-2 family of transcription factors is implicated in control of neural crest development, but whether there is a cell autonomous role of AP-2 transcription factors in neural crest induction has remained uncertain. Here I show that in zebrafish, two AP-2 family members, Tfap2a and Tfap2c, are required redundantly for neural crest induction, and that this requirement is cell autonomous. Failure of neural crest induction in the zebrafish embryos that are devoid of Tfap2a and Tfap2c is not caused by defects in cell survival or cell proliferation, but rather appears to result from a failure neural crest cell fate specification. Simultaneous knockdown of Tfap2a and Tfap2c is one of the only known genetic manipulations that result in failure of neural crest induction. Thus the Tfap2a/c double knockdown embryos will be useful for further studies on the emergence of neural crest during both development and evolution. The second section of my thesis concerns differentiation of neural crest derived zebrafish melanophores. This study reveals that Tfap2a and another AP-2 family member, Tfap2e, redundantly and autonomously regulate melanophore differentiation. This is the first report on the function of Tfap2e in any animal. Given that the expression of AP-2 transcription factors is tightly associated with the metastasis potential of human melanoma, my study reinforces the view that cancer cells co-opt regulatory pathways employed in embryonic development.

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Tandem amino acid repeats, also known as homopolimeric tract or homopeptides, are very common features of eukaryotic genomes and are present in nearly one-fifth of human encoded proteins. These structures have attracted much interest in the early 1990s when a number of neurological diseases associated with repeat expansion mutations were discovered in humans. Despite their abundance in coding proteins, little is known about their functional consequences. Two scenarios have been proposed. In one, tandem amino acid repeat is considered a neutral structure generated by slippage event and eventually tolerated in protein as long as it does not disrupt the protein function. However, an increasing number of studies proposed that tandem amino acid repeats may be involved in important functional or structural roles. For instance, tandem amino acid repeats had been found to be especially abundant in transcription factors and developmental proteins, where they can potentially modulate protein-protein interaction, exert an effect on gene transcriptional activity, or act as spacer between different protein domains. In addition, several studies have linked changes in repeat size to modification in developmental processes. Despite the advancement made in the last decade, little is known about the selective forces that shape their evolution. The aim of this thesis has been to gain further insight onto the evolutionary dynamics of tandem amino acid repeats by studying the different types of mutations that occur in the amino acid component of the human proteome, by studying the relationship between variability and abundance of amino acid tandem with the evolutionary constraints operating on the proteins, and by studying their conservation and distribution across various vertebrate genomes in both coding and non-coding sequences. The integration of these approaches enabled us to outline an evolutionary model of these structures.