Pablo Librado

Dr. Pablo Librado

Laboratoire AMIS, CNRS UMR 5288, Université Paul Sabatier, Toulouse 31000, France

Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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3 April 2009 in Bioinformatics
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Pablo LibradoPablo Librado
Pablo Librado
JRJ. Rozas
J. Rozas
Motivation: DnaSP is a software package for a comprehensive analysis of DNA polymorphism data. Version 5 implements a number of new features and analytical methods allowing extensive DNA polymorphism analyses on large datasets. Among other features, the newly implemented methods allow for: (i) analyses on multiple data files; (ii) haplotype phasing; (iii) analyses on insertion/deletion polymorphism data; (iv) visualizing sliding window results integrated with available genome annotations in the UCSC browser. Availability: Freely available to academic users from: http://www.ub.edu/dnasp Contact:jrozas@ub.edu

18 September 2017 in Molecular Biology and Evolution
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JRJulio Rozas
Julio Rozas
AFAlbert Ferrer-Mata
Albert Ferrer-Mata
JSJuan Carlos Sánchez-DelBarrio
Juan Carlos Sánchez-DelBarrio
SGSara Guirao-Rico
Sara Guirao-Rico
Pablo LibradoPablo Librado
Pablo Librado
ASAlejandro Sánchez-Gracia
Alejandro Sánchez-Gracia
We present version 6 of the DNA Sequence Polymorphism (DnaSP) software, a new version of the popular tool for performing exhaustive population genetic analyses on multiple sequence alignments. This major upgrade incorporates novel functionalities to analyze large data sets, such as those generated by high-throughput sequencing technologies. Among other features, DnaSP 6 implements: 1) modules for reading and analyzing data from genomic partitioning methods, such as RADseq or hybrid enrichment approaches, 2) faster methods scalable for high-throughput sequencing data, and 3) summary statistics for the analysis of multi-locus population genetics data. Furthermore, DnaSP 6 includes novel modules to perform single- and multi-locus coalescent simulations under a wide range of demographic scenarios. The DnaSP 6 program, with extensive documentation, is freely available at http://www.ub.edu/dnasp.

8 February 2012 in Nature
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TMTrudy F. C. Mackay
Trudy F. C. Mackay
SRStephen Richards
Stephen Richards
ESEric A. Stone
Eric A. Stone
ABAntonio Barbadilla
Antonio Barbadilla
JAJulien F. Ayroles
Julien F. Ayroles
RGRichard A. Gibbs
Richard A. Gibbs
A major challenge of biology is understanding the relationship between molecular genetic variation and variation in quantitative traits, including fitness. This relationship determines our ability to predict phenotypes from genotypes and to understand how evolutionary forces shape variation within and between species. Previous efforts to dissect the genotype–phenotype map were based on incomplete genotypic information. Here, we describe the Drosophila melanogaster Genetic Reference Panel (DGRP), a community resource for analysis of population genomics and quantitative traits. The DGRP consists of fully sequenced inbred lines derived from a natural population. Population genomic analyses reveal reduced polymorphism in centromeric autosomal regions and the X chromosome, evidence for positive and negative selection, and rapid evolution of the X chromosome. Many variants in novel genes, most at low frequency, are associated with quantitative traits and explain a large fraction of the phenotypic variance. The DGRP facilitates genotype–phenotype mapping using the power of Drosophila genetics.

5 September 2014 in Science
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FDFrance Denoeud
France Denoeud
LCLorenzo Carretero-Paulet
Lorenzo Carretero-Paulet
ADAlexis Dereeper
Alexis Dereeper
GDGaëtan Droc
Gaëtan Droc
RGRomain Guyot
Romain Guyot
PLPhilippe Lashermes
Philippe Lashermes
Coffee, tea, and chocolate converge: Caffeine has evolved multiple times among plant species, but no one knows whether these events involved similar genes. Denoeudet al.sequenced theCoffea canephora(coffee) genome and identified a conserved gene order (see the Perspective by Zamir). Although this species underwent fewer genome duplications than related species, the relevant caffeine genes experienced tandem duplications that expanded their numbers within this species. Scientists have seen similar but independent expansions in distantly related species of tea and cacao, suggesting that caffeine might have played an adaptive role in coffee evolution.Science, this issue p.1181; see also p.1124

6 April 2018 in Science
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CGCharleen Gaunitz
Charleen Gaunitz
AFAntoine Fages
Antoine Fages
KHKristian Hanghøj
Kristian Hanghøj
AAAnders Albrechtsen
Anders Albrechtsen
NKNaveed Khan
Naveed Khan
LOLudovic Orlando
Ludovic Orlando
Revisiting the origins of modern horses: The domestication of horses was very important in the history of humankind. However, the ancestry of modern horses and the location and timing of their emergence remain unclear. Gaunitz et al. generated 42 ancient-horse genomes. Their source samples included the Botai archaeological site in Central Asia, considered to include the earliest domesticated horses. Unexpectedly, Botai horses were the ancestors not of modern domestic horses, but rather of modern Przewalski's horses. Thus, in contrast to current thinking on horse domestication, modern horses may have been domesticated in other, more Western, centers of origin. Science , this issue p. 111

6 March 2018 in Nature Communications
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FAFlorian J. Alberto
Florian J. Alberto
FBFrédéric Boyer
Frédéric Boyer
POPablo Orozco-terWengel
Pablo Orozco-terWengel
ISIan Streeter
Ian Streeter
BSBertrand Servin
Bertrand Servin
FPFrançois Pompanon
François Pompanon
The evolutionary basis of domestication has been a longstanding question and its genetic architecture is becoming more tractable as more domestic species become genome-enabled. Before becoming established worldwide, sheep and goats were domesticated in the fertile crescent 10,500 years before present (YBP) where their wild relatives remain. Here we sequence the genomes of wild Asiatic mouflon and Bezoar ibex in the sheep and goat domestication center and compare their genomes with that of domestics from local, traditional, and improved breeds. Among the genomic regions carrying selective sweeps differentiating domestic breeds from wild populations, which are associated among others to genes involved in nervous system, immunity and productivity traits, 20 are common toCapraandOvis. The patterns of selection vary between species, suggesting that while common targets of selection related to domestication and improvement exist, different solutions have arisen to achieve similar phenotypic end-points within these closely related livestock species.