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      Ancient Hybridization and Adaptive Introgression of an Invadolysin Gene in Schistosome Parasites

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          Abstract

          Introgression among parasite species has the potential to transfer traits of biomedical importance across species boundaries. The parasitic blood fluke Schistosoma haematobium causes urogenital schistosomiasis in humans across sub-Saharan Africa. Hybridization with other schistosome species is assumed to occur commonly, because genetic crosses between S. haematobium and livestock schistosomes, including S. bovis, can be staged in the laboratory, and sequencing of mtDNA and rDNA amplified from microscopic miracidia larvae frequently reveals markers from different species. However, the frequency, direction, age, and genomic consequences of hybridization are unknown. We hatched miracidia from eggs and sequenced the exomes from 96 individual S. haematobium miracidia from infected patients from Niger and the Zanzibar archipelago. These data revealed no evidence for contemporary hybridization between S. bovis and S. haematobium in our samples. However, all Nigerien S. haematobium genomes sampled show hybrid ancestry, with 3.3–8.2% of their nuclear genomes derived from S. bovis, providing evidence of an ancient introgression event that occurred at least 108–613 generations ago. Some S. bovis-derived alleles have spread to high frequency or reached fixation and show strong signatures of directional selection; the strongest signal spans a single gene in the invadolysin gene family (Chr. 4). Our results suggest that S. bovis/ S. haematobium hybridization occurs rarely but demonstrate profound consequences of ancient introgression from a livestock parasite into the genome of S. haematobium, the most prevalent schistosome species infecting humans.

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          The hitch-hiking effect of a favourable gene.

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            The Use of Confidence or Fiducial Limits Illustrated in the Case of the Binomial

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              rehh: an R package to detect footprints of selection in genome-wide SNP data from haplotype structure.

              With the development of next-generation sequencing and genotyping approaches, large single nucleotide polymorphism haplotype datasets are becoming available in a growing number of both model and non-model species. Identifying genomic regions with unexpectedly high local haplotype homozygosity relatively to neutral expectation represents a powerful strategy to ascertain candidate genes responding to natural or artificial selection. To facilitate genome-wide scans of selection based on the analysis of long-range haplotypes, we developed the R package rehh. It provides a versatile tool to detect the footprints of recent or ongoing selection with several graphical functions that help visual interpretation of the results. Stable version is available from CRAN: http://cran.r-project.org/. Development version is available from the R-forge repository: http://r-forge.r-project.org/projects/rehh. Both versions can be installed directly from R. Function documentation and example data files are provided within the package and a tutorial is available as Supplementary Material. rehh is distributed under the GNU General Public Licence (GPL ≥ 2).
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                Author and article information

                Contributors
                Role: Associate Editor
                Journal
                Mol Biol Evol
                Mol. Biol. Evol
                molbev
                Molecular Biology and Evolution
                Oxford University Press
                0737-4038
                1537-1719
                October 2019
                27 June 2019
                27 June 2019
                : 36
                : 10
                : 2127-2142
                Affiliations
                [1 ] Disease Intervention and Prevention, Texas Biomedical Research Institute, San Antonio, TX
                [2 ] Department of Life Sciences, The Natural History Museum, London, United Kingdom
                [3 ] London Centre for Neglected Tropical Disease Research (LCNTDR), Imperial College London, St Mary’s Campus, London, United Kingdom
                [4 ] Réseau International Schistosomoses, Environnement, Aménagement et Lutte (RISEAL-Niger), Niamey, Niger
                [5 ] Public Health Laboratory - Ivo de Carneri, Pemba, United Republic of Tanzania
                [6 ] Centre for Emerging, Endemic and Exotic Diseases, Department of Pathobiology and Population Sciences, Royal Veterinary College, University of London, London, United Kingdom
                Author notes
                Corresponding author: E-mail: tanderso@ 123456txbiomed.org .
                Article
                msz154
                10.1093/molbev/msz154
                6759076
                31251352
                5b877ba2-d432-4295-9bb9-914d2980d1ea
                © The Author(s) 2019. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                Page count
                Pages: 16
                Categories
                Fast Track

                Molecular biology
                schistosoma haematobium,schistosoma bovis,parasite,adaptation,m8 metalloprotease
                Molecular biology
                schistosoma haematobium, schistosoma bovis, parasite, adaptation, m8 metalloprotease

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