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Hypermutability of genes in Homo sapiens due to the hosting of long mono-SSR

Loire E., Praz F., Higuet D., Netter P., Achaz G.. 2009. Molecular Biology and Evolution, 26 (1) : p. 111-121.

Simple sequence repeats (SSRs) are very common short repeats in eukaryotic genomes. ¿Long¿ SSRs are considered ¿hypermutable¿ sequences because they exhibit a high rate of expansion and contraction. Because they are potentially deleterious, long SSRs tend to be uncommon in coding sequences. However, several genes contain long SSRs in their exonic sequences. Here, we identify 1,291 human genes that host a mononucleotide SSR long enough to be prone to expansion or contraction, being called hypermutable hereafter. On the basis of Gene Ontology annotations, we show that only a restricted number of functions are overrepresented among those hypermutable genes including cell cycle and maintenance of DNA integrity. Using a probabilistic model, we show that genes involved in these functions are expected to host long SSRs because they tend to be long and/or are biased in nucleotide composition. Finally, we show that for almost all functions we observe fewer hypermutable sequences than expected under a neutral model. There are however interesting exceptions, for example, genes involved in protein and RNA transport, as well as meiosis and mismatch repair functions that have as many hypermutable genes as expected under neutrality. Conversely, there are functions (e.g., collagen-related genes) where hypermutable genes are more often avoided than in other functions. Our results show that, even though several functions harbor unusually long SSR in their exons, long SSRs are deleterious sequences in almost all functions and are removed by purifying selection. The strength of this purifying selection however greatly varies from function to function. We discuss possible explanations for this intriguing result. (Résumé d'auteur)

Mots-clés : méthode statistique; séquence nucléotidique; génétique animale; mutation; genre humain; ssr

Thématique : Autres thèmes; Génétique et amélioration des animaux; Méthodes mathématiques et statistiques

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