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Maite G. Barrón

Researcher at Pompeu Fabra University

Publications -  18
Citations -  2199

Maite G. Barrón is an academic researcher from Pompeu Fabra University. The author has contributed to research in topics: Population & Population genomics. The author has an hindex of 11, co-authored 18 publications receiving 1897 citations. Previous affiliations of Maite G. Barrón include Autonomous University of Barcelona & Spanish National Research Council.

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The Drosophila melanogaster Genetic Reference Panel

TL;DR: The Drosophila melanogaster Genetic Reference Panel is described, a community resource for analysis of population genomics and quantitative traits, which reveals reduced polymorphism in centromeric autosomal regions and the X chromosomes, evidence for positive and negative selection, and rapid evolution of the X chromosome.
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Population Genomics of Transposable Elements in Drosophila

TL;DR: The latest population genomics models for TE evolution are considered and examples of functional evidence revealed by genome-wide studies of TE population dynamics in D. melanogaster are presented.
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The transposable element Bari-Jheh mediates oxidative stress response in Drosophila.

TL;DR: The results contribute to the understanding of resistance to oxidative stress in natural populations and the role of transposable elements in environmental adaptation and the replicability of fitness effects on different genetic backgrounds suggests that epistatic interactions do not seem to dominate the genetic architecture of oxidative stress resistance.
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Genomic Analysis of European Drosophila melanogaster Populations Reveals Longitudinal Structure, Continent-Wide Selection, and Previously Unknown DNA Viruses

Martin Kapun, +52 more
TL;DR: These analyses uncover longitudinal population structure, provide evidence for continent-wide selective sweeps, identify candidate genes for local climate adaptation, and document clines in chromosomal inversion and transposable element frequencies in European Drosophila melanogaster.
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T-lex2: genotyping, frequency estimation and re-annotation of transposable elements using single or pooled next-generation sequencing data

TL;DR: T-lex2 is the only available software that allows routine, automatic and accurate genotyping of individual TE insertions and estimation of their population frequencies both using individual strain and pooled next-generation sequencing data.