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      Population structure, adaptation and divergence of the meadow spittlebug, Philaenus spumarius (Hemiptera, Aphrophoridae), revealed by genomic and morphological data

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          Abstract

          Understanding patterns of population differentiation and gene flow in insect vectors of plant diseases is crucial for the implementation of management programs of disease. We investigated morphological and genome-wide variation across the distribution range of the spittlebug Philaenus spumarius (Linnaeus, 1758) (Hemiptera, Auchenorrhyncha, Aphrophoridae), presently the most important vector of the plant pathogenic bacterium Xylella fastidiosa Wells et al., 1987 in Europe. We found genome-wide divergence between P. spumarius and a very closely related species, P. tesselatus Melichar, 1899, at RAD sequencing markers. The two species may be identified by the morphology of male genitalia but are not differentiated at mitochondrial COI, making DNA barcoding with this gene ineffective. This highlights the importance of using integrative approaches in taxonomy. We detected admixture between P. tesselatus from Morocco and P. spumarius from the Iberian Peninsula, suggesting gene-flow between them. Within P. spumarius, we found a pattern of isolation-by-distance in European populations, likely acting alongside other factors restricting gene flow. Varying levels of co-occurrence of different lineages, showing heterogeneous levels of admixture, suggest other isolation mechanisms. The transatlantic populations of North America and Azores were genetically closer to the British population analyzed here, suggesting an origin from North-Western Europe, as already detected with mitochondrial DNA. Nevertheless, these may have been produced through different colonization events. We detected SNPs with signatures of positive selection associated with environmental variables, especially related to extremes and range variation in temperature and precipitation. The population genomics approach provided new insights into the patterns of divergence, gene flow and adaptation in these spittlebugs and led to several hypotheses that require further local investigation.

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          Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.

          S Altschul (1997)
          The BLAST programs are widely used tools for searching protein and DNA databases for sequence similarities. For protein comparisons, a variety of definitional, algorithmic and statistical refinements described here permits the execution time of the BLAST programs to be decreased substantially while enhancing their sensitivity to weak similarities. A new criterion for triggering the extension of word hits, combined with a new heuristic for generating gapped alignments, yields a gapped BLAST program that runs at approximately three times the speed of the original. In addition, a method is introduced for automatically combining statistically significant alignments produced by BLAST into a position-specific score matrix, and searching the database using this matrix. The resulting Position-Specific Iterated BLAST (PSI-BLAST) program runs at approximately the same speed per iteration as gapped BLAST, but in many cases is much more sensitive to weak but biologically relevant sequence similarities. PSI-BLAST is used to uncover several new and interesting members of the BRCT superfamily.
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            The variant call format and VCFtools

            Summary: The variant call format (VCF) is a generic format for storing DNA polymorphism data such as SNPs, insertions, deletions and structural variants, together with rich annotations. VCF is usually stored in a compressed manner and can be indexed for fast data retrieval of variants from a range of positions on the reference genome. The format was developed for the 1000 Genomes Project, and has also been adopted by other projects such as UK10K, dbSNP and the NHLBI Exome Project. VCFtools is a software suite that implements various utilities for processing VCF files, including validation, merging, comparing and also provides a general Perl API. Availability: http://vcftools.sourceforge.net Contact: rd@sanger.ac.uk
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              Inference of Population Structure Using Multilocus Genotype Data

              We describe a model-based clustering method for using multilocus genotype data to infer population structure and assign individuals to populations. We assume a model in which there are K populations (where K may be unknown), each of which is characterized by a set of allele frequencies at each locus. Individuals in the sample are assigned (probabilistically) to populations, or jointly to two or more populations if their genotypes indicate that they are admixed. Our model does not assume a particular mutation process, and it can be applied to most of the commonly used genetic markers, provided that they are not closely linked. Applications of our method include demonstrating the presence of population structure, assigning individuals to populations, studying hybrid zones, and identifying migrants and admixed individuals. We show that the method can produce highly accurate assignments using modest numbers of loci—e.g., seven microsatellite loci in an example using genotype data from an endangered bird species. The software used for this article is available from http://www.stats.ox.ac.uk/~pritch/home.html.
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                Author and article information

                Contributors
                Journal
                PeerJ
                PeerJ
                peerj
                peerj
                PeerJ
                PeerJ Inc. (San Diego, USA )
                2167-8359
                1 June 2021
                2021
                : 9
                : e11425
                Affiliations
                [1 ]E3c - Centre for Ecology, Evolution and Environmental Changes, Departamento de Biologia Animal, Faculdade de Ciências, Universidade de Lisboa , Lisboa, Portugal
                [2 ]CESAM - Centre for Environmental and Marine Studies, Departamento de Biologia Animal, Faculdade de Ciências, Universidade de Lisboa , Lisboa, Portugal
                [3 ]American Museum of Natural History , New York, USA
                [4 ]National Museum of Wales, Department of Natural Sciences , Cardiff, United Kingdom
                [5 ]Trakya University, Biology Department, Science Faculty , Edirne, Turkey
                [6 ]Department of Biological and Environmental Sciences, University of Helsinki , Helsinki, Finland
                [7 ]cE3c - Centre for Ecology, Evolution and Environmental Changes/Azorean Biodiversity Group, Faculty of Agriculture and Environment, Department of Environmental Sciences and Engineering, Universidade dos Açores , Angra do Heroísmo, Açores, Portugal
                [8 ]Department of Zoology, University of Cambridge , Cambridge, United Kingdom
                Article
                11425
                10.7717/peerj.11425
                8176912
                34131518
                4915710a-52d5-45a9-9c18-24326a9072c5
                ©2021 Seabra et al.

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.

                History
                : 30 November 2020
                : 17 April 2021
                Funding
                Funded by: FCT–Fundação para a Ciência e a Tecnologia
                Award ID: PTDC/BIA-BEC/098783/2008
                Award ID: PTDC/BIA-BEC/100182/2008
                Award ID: SFRH/BPD/26365/2006
                Award ID: SFRH/BD/73879/2010
                Funded by: Contrato de Trabalho Norma Transitória
                Award ID: DL57/2016/CP1479/
                Funded by: cE3c Unit FCT
                Award ID: UIDB/00329/2020
                Funded by: CESAM
                Award ID: UIDP/50017/2020 + UIDB/50017/2020—POCI-01-0145-FEDER-007638
                Funded by: FEDER
                This work was financially supported by Portuguese national funds through FCT–Fundação para a Ciência e a Tecnologia, I.P., Portugal: Project PTDC/BIA-BEC/098783/2008; Project FCT–PTDC/BIA-BEC/100182/2008; Grant SFRH/BPD/26365/2006 (to Sofia G Seabra); Grant SFRH/BD/73879/2010 (to Ana SB Rodrigues); Contrato de Trabalho Norma Transitória–DL57/2016/CP1479/ (to Sofia G Seabra); cE3c Unit FCT funding in the frame of the project UIDB/00329/2020; CESAM funding UIDP/50017/2020 + UIDB/50017/2020—POCI-01-0145-FEDER-007638; PIDDAC; co-funding by the FEDER, within the PT2020 Partnership Agreement and Compete 2020. There was no additional external funding received for this study. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Entomology
                Evolutionary Studies
                Genomics
                Molecular Biology
                Zoology

                population genomics,rad sequencing,aedeagus,species divergence,local adaptation,philaenus spumarius

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