51 research outputs found

    VolcanoFinder:Genomic scans for adaptive introgression

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    Recent research shows that introgression between closely-related species is an important source of adaptive alleles for a wide range of taxa. Typically, detection of adaptive introgression from genomic data relies on comparative analyses that require sequence data from both the recipient and the donor species. However, in many cases, the donor is unknown or the data is not currently available. Here, we introduce a genome-scan method-VolcanoFinder-to detect recent events of adaptive introgression using polymorphism data from the recipient species only. VolcanoFinder detects adaptive introgression sweeps from the pattern of excess intermediate-frequency polymorphism they produce in the flanking region of the genome, a pattern which appears as a volcano-shape in pairwise genetic diversity. Using coalescent theory, we derive analytical predictions for these patterns. Based on these results, we develop a composite-likelihood test to detect signatures of adaptive introgression relative to the genomic background. Simulation results show that VolcanoFinder has high statistical power to detect these signatures, even for older sweeps and for soft sweeps initiated by multiple migrant haplotypes. Finally, we implement VolcanoFinder to detect archaic introgression in European and sub-Saharan African human populations, and uncovered interesting candidates in both populations, such as TSHR in Europeans and TCHH-RPTN in Africans. We discuss their biological implications and provide guidelines for identifying and circumventing artifactual signals during empirical applications of VolcanoFinder

    An efficient method to find potentially universal population genetic markers, applied to metazoans

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    <p>Abstract</p> <p>Background</p> <p>Despite the impressive growth of sequence databases, the limited availability of nuclear markers that are sufficiently polymorphic for population genetics and phylogeography and applicable across various phyla restricts many potential studies, particularly in non-model organisms. Numerous introns have invariant positions among kingdoms, providing a potential source for such markers. Unfortunately, most of the few known EPIC (Exon Primed Intron Crossing) loci are restricted to vertebrates or belong to multigenic families.</p> <p>Results</p> <p>In order to develop markers with broad applicability, we designed a bioinformatic approach aimed at avoiding multigenic families while identifying intron positions conserved across metazoan phyla. We developed a program facilitating the identification of EPIC loci which allowed slight variation in intron position. From the <it>Homolens </it>databases we selected 29 gene families which contained 52 promising introns for which we designed 93 primer pairs. PCR tests were performed on several ascidians, echinoderms, bivalves and cnidarians. On average, 24 different introns per genus were amplified in bilaterians. Remarkably, five of the introns successfully amplified in all of the metazoan genera tested (a dozen genera, including cnidarians). The influence of several factors on amplification success was investigated. Success rate was not related to the phylogenetic relatedness of a taxon to the groups that most influenced primer design, showing that these EPIC markers are extremely conserved in animals.</p> <p>Conclusions</p> <p>Our new method now makes it possible to (i) rapidly isolate a set of EPIC markers for any phylum, even outside the animal kingdom, and thus, (ii) compare genetic diversity at potentially homologous polymorphic loci between divergent taxa.</p

    Rapid De Novo Evolution of X Chromosome Dosage Compensation in Silene latifolia, a Plant with Young Sex Chromosomes

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    Evidence for dosage compensation in Silene latifolia, a plant with 10-million-year-old sex chromosomes, reveals that dosage compensation can evolve rapidly in young XY systems and is not an animal-specific phenomenon

    The SuperCam Instrument Suite on the Mars 2020 Rover: Science Objectives and Mast-Unit Description

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    On the NASA 2020 rover mission to Jezero crater, the remote determination of the texture, mineralogy and chemistry of rocks is essential to quickly and thoroughly characterize an area and to optimize the selection of samples for return to Earth. As part of the Perseverance payload, SuperCam is a suite of five techniques that provide critical and complementary observations via Laser-Induced Breakdown Spectroscopy (LIBS), Time-Resolved Raman and Luminescence (TRR/L), visible and near-infrared spectroscopy (VISIR), high-resolution color imaging (RMI), and acoustic recording (MIC). SuperCam operates at remote distances, primarily 2-7 m, while providing data at sub-mm to mm scales. We report on SuperCam's science objectives in the context of the Mars 2020 mission goals and ways the different techniques can address these questions. The instrument is made up of three separate subsystems: the Mast Unit is designed and built in France; the Body Unit is provided by the United States; the calibration target holder is contributed by Spain, and the targets themselves by the entire science team. This publication focuses on the design, development, and tests of the Mast Unit; companion papers describe the other units. The goal of this work is to provide an understanding of the technical choices made, the constraints that were imposed, and ultimately the validated performance of the flight model as it leaves Earth, and it will serve as the foundation for Mars operations and future processing of the data.In France was provided by the Centre National d'Etudes Spatiales (CNES). Human resources were provided in part by the Centre National de la Recherche Scientifique (CNRS) and universities. Funding was provided in the US by NASA's Mars Exploration Program. Some funding of data analyses at Los Alamos National Laboratory (LANL) was provided by laboratory-directed research and development funds

    scc_examples

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    Examples of the resampling test for sister clade comparison. Needs data files from the archive data.tar.gz

    Data from: Standard sister clade comparison fails when testing derived character states

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    Comparing species richness in sister clades that differ in a character is one of the ways to study factors influencing diversification. While most of its applications focused on traits that increase diversification, some were used to study the association of a trait with less species richness, e.g. the occurrence of dioecy in flowering plants. We show here, using simulations and an analytical model, that the null expectation of equal species richness that is generally used in sister clade comparisons is wrong in the case of a derived trait occurring independently from speciation: one should expect less species in the clade with the derived character when there is no difference in diversification rates. This is due to the waiting time for the derived state to appear, which causes it to occur more often on longer branches. This has the important implication that the probability for a clade to possess the derived state depends on the tree geometry, and thus on species richness: less species-rich clades are more likely to possess the derived state. A test for differences in species richness should be based upon observed tree imbalance. We present a method to do this, and find that we cannot confirm earlier work that concluded that dioecy decreases diversification; on the contrary, it seems to be associated to higher species richness than expected

    Data from: Standard sister clade comparison fails when testing derived character states

    No full text
    Comparing species richness in sister clades that differ in a character is one of the ways to study factors influencing diversification. While most of its applications focused on traits that increase diversification, some were used to study the association of a trait with less species richness, e.g. the occurrence of dioecy in flowering plants. We show here, using simulations and an analytical model, that the null expectation of equal species richness that is generally used in sister clade comparisons is wrong in the case of a derived trait occurring independently from speciation: one should expect less species in the clade with the derived character when there is no difference in diversification rates. This is due to the waiting time for the derived state to appear, which causes it to occur more often on longer branches. This has the important implication that the probability for a clade to possess the derived state depends on the tree geometry, and thus on species richness: less species-rich clades are more likely to possess the derived state. A test for differences in species richness should be based upon observed tree imbalance. We present a method to do this, and find that we cannot confirm earlier work that concluded that dioecy decreases diversification; on the contrary, it seems to be associated to higher species richness than expected
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