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      A Guide to Carrying Out a Phylogenomic Target Sequence Capture Project

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          Abstract

          High-throughput DNA sequencing techniques enable time- and cost-effective sequencing of large portions of the genome. Instead of sequencing and annotating whole genomes, many phylogenetic studies focus sequencing effort on large sets of pre-selected loci, which further reduces costs and bioinformatic challenges while increasing coverage. One common approach that enriches loci before sequencing is often referred to as target sequence capture. This technique has been shown to be applicable to phylogenetic studies of greatly varying evolutionary depth. Moreover, it has proven to produce powerful, large multi-locus DNA sequence datasets suitable for phylogenetic analyses. However, target capture requires careful considerations, which may greatly affect the success of experiments. Here we provide a simple flowchart for designing phylogenomic target capture experiments. We discuss necessary decisions from the identification of target loci to the final bioinformatic processing of sequence data. We outline challenges and solutions related to the taxonomic scope, sample quality, and available genomic resources of target capture projects. We hope this review will serve as a useful roadmap for designing and carrying out successful phylogenetic target capture studies.

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          A rapid DNA isolation procedure for small quantities of fresh leaf tissue

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            A high-coverage genome sequence from an archaic Denisovan individual.

            We present a DNA library preparation method that has allowed us to reconstruct a high-coverage (30×) genome sequence of a Denisovan, an extinct relative of Neandertals. The quality of this genome allows a direct estimation of Denisovan heterozygosity indicating that genetic diversity in these archaic hominins was extremely low. It also allows tentative dating of the specimen on the basis of "missing evolution" in its genome, detailed measurements of Denisovan and Neandertal admixture into present-day human populations, and the generation of a near-complete catalog of genetic changes that swept to high frequency in modern humans since their divergence from Denisovans.
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              Double indexing overcomes inaccuracies in multiplex sequencing on the Illumina platform

              Due to the increasing throughput of current DNA sequencing instruments, sample multiplexing is necessary for making economical use of available sequencing capacities. A widely used multiplexing strategy for the Illumina Genome Analyzer utilizes sample-specific indexes, which are embedded in one of the library adapters. However, this and similar multiplex approaches come with a risk of sample misidentification. By introducing indexes into both library adapters (double indexing), we have developed a method that reveals the rate of sample misidentification within current multiplex sequencing experiments. With ~0.3% these rates are orders of magnitude higher than expected and may severely confound applications in cancer genomics and other fields requiring accurate detection of rare variants. We identified the occurrence of mixed clusters on the flow as the predominant source of error. The accuracy of sample identification is further impaired if indexed oligonucleotides are cross-contaminated or if indexed libraries are amplified in bulk. Double-indexing eliminates these problems and increases both the scope and accuracy of multiplex sequencing on the Illumina platform.
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                Author and article information

                Contributors
                Journal
                Front Genet
                Front Genet
                Front. Genet.
                Frontiers in Genetics
                Frontiers Media S.A.
                1664-8021
                21 February 2020
                2019
                : 10
                : 1407
                Affiliations
                [1] 1 Department of Biological and Environmental Sciences, University of Gothenburg , Gothenburg, Sweden
                [2] 2 Gothenburg Global Biodiversity Centre , Gothenburg, Sweden
                [3] 3 Institute of Entomology, Biology Centre of the Czech Academy of Sciences , České Budějovice, Czechia
                [4] 4 Programa de Pós-Graduação em Genética, Conservação e Biologia Evolutiva, PPG GCBEv–Instituto Nacional de Pesquisas da Amazônia—INPA Campus II , Manaus, Brazil
                [5] 5 Coordenação de Zoologia, Museu Paraense Emílio Goeldi , Belém, Brazil
                [6] 6 INRAE, Centre Nouvelle-Aquitaine-Poitiers , Lusignan, France
                [7] 7 Natural History Museum, University of Oslo , Oslo, Norway
                [8] 8 Department of Anthropology, National Museum of Natural History, Smithsonian Institution , Washington, DC, United States
                [9] 9 Royal Botanic Gardens, Kew , Richmond-Surrey, United Kingdom
                Author notes

                Edited by: Susana Seixas, University of Porto, Portugal

                Reviewed by: Denis Baurain, University of Liège, Belgium; Iker Irisarri, National Museum of Natural Sciences (MNCN), Spain

                *Correspondence: Tobias Andermann, tobias.andermann@ 123456bioenv.gu.se ; Maria Fernanda Torres Jiménez, maria.torres@ 123456bioenv.gu.se

                †These authors have contributed equally to this work and share first authorship

                This article was submitted to Evolutionary and Population Genetics, a section of the journal Frontiers in Genetics

                Article
                10.3389/fgene.2019.01407
                7047930
                32153629
                185d7262-66ab-47bd-ad40-4248d13064b0
                Copyright © 2020 Andermann, Torres Jiménez, Matos-Maraví, Batista, Blanco-Pastor, Gustafsson, Kistler, Liberal, Oxelman, Bacon and Antonelli

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 02 October 2019
                : 24 December 2019
                Page count
                Figures: 3, Tables: 2, Equations: 1, References: 153, Pages: 20, Words: 11102
                Funding
                Funded by: Vetenskapsrådet 10.13039/501100004359
                Funded by: H2020 Marie Skłodowska-Curie Actions 10.13039/100010665
                Funded by: Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 10.13039/501100002322
                Funded by: Knut och Alice Wallenbergs Stiftelse 10.13039/501100004063
                Funded by: Vetenskapsrådet 10.13039/501100004359
                Funded by: FP7 Ideas: European Research Council 10.13039/100011199
                Funded by: Stiftelsen för Strategisk Forskning 10.13039/501100001729
                Categories
                Genetics
                Review

                Genetics
                anchored enrichment,bait,high throughput sequencing,hyb-seq,illumina,ngs,molecular phylogenetics,probe

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