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Natalia Petit

Researcher at Pompeu Fabra University

Publications -  10
Citations -  921

Natalia Petit is an academic researcher from Pompeu Fabra University. The author has contributed to research in topics: Population & Effective population size. The author has an hindex of 5, co-authored 10 publications receiving 810 citations. Previous affiliations of Natalia Petit include Autonomous University of Barcelona.

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Journal ArticleDOI

Great ape genetic diversity and population history

Javier Prado-Martinez, +79 more
- 25 Jul 2013 - 
TL;DR: This comprehensive catalogue of great ape genome diversity provides a framework for understanding evolution and a resource for more effective management of wild and captive great ape populations.
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Selection efficiency and effective population size in Drosophila species

TL;DR: It is shown that species with lower synonymous polymorphism have higher levels of nonsynonymous polymorphism and larger content of repetitive sequences in their genomes, suggesting a diminished efficiency of selection in species with smaller effective population size.
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Exploring the Phenotypic Space and the Evolutionary History of a Natural Mutation in Drosophila melanogaster

TL;DR: This work combined several tests that capture different signatures of selection to show that there is evidence of positive selection in the regions flanking FBti0019386 insertion and shed light on the evolutionary history, the relevant fitness effects, and the likely molecular mechanisms of an adaptive mutation.
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DPDB: a database for the storage, representation and analysis of polymorphism in the Drosophila genus

TL;DR: DPDB is a web site that provides a daily updated repository of all well-annotated polymorphic sequences in the Drosophila genus and uses PDA, a pipeline that automates the process of sequence retrieval, grouping, alignment and estimation of nucleotide diversity from Genbank sequences in different functional regions.
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Protein polymorphism is negatively correlated with conservation of intronic sequences and complexity of expression patterns in Drosophila melanogaster.

TL;DR: The present study provides relevant evidence on the importance of intron content and expression patterns on the levels of coding polymorphism and shows that genes with a high regulatory complexity and many genetic interactions also exhibit larger amounts of CNS within their introns and lower values of nonsynonymous polymorphism.