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      Reconstructing genome evolution in historic samples of the Irish potato famine pathogen

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          Abstract

          Responsible for the Irish potato famine of 1845–49, the oomycete pathogen Phytophthora infestans caused persistent, devastating outbreaks of potato late blight across Europe in the 19th century. Despite continued interest in the history and spread of the pathogen, the genome of the famine-era strain remains entirely unknown. Here we characterize temporal genomic changes in introduced P. infestans. We shotgun sequence five 19th-century European strains from archival herbarium samples—including the oldest known European specimen, collected in 1845 from the first reported source of introduction. We then compare their genomes to those of extant isolates. We report multiple distinct genotypes in historical Europe and a suite of infection-related genes different from modern strains. At virulence-related loci, several now-ubiquitous genotypes were absent from the historical gene pool. At least one of these genotypes encodes a virulent phenotype in modern strains, which helps explain the 20th century’s episodic replacements of European P. infestans lineages.

          Abstract

          Phytophthora infestans caused the potato famine in the nineteenth century. Martin et al. sequence the nuclear genomes of five archival samples of the pathogen and compare these to extant specimens allowing the reconstruction of the evolutionary history of P. infestans.

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          Most cited references22

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          AdapterRemoval: easy cleaning of next-generation sequencing reads

          Background With the advent of next-generation sequencing there is an increased demand for tools to pre-process and handle the vast amounts of data generated. One recurring problem is adapter contamination in the reads, i.e. the partial or complete sequencing of adapter sequences. These adapter sequences have to be removed as they can hinder correct mapping of the reads and influence SNP calling and other downstream analyses. Findings We present a tool called AdapterRemoval which is able to pre-process both single and paired-end data. The program locates and removes adapter residues from the reads, it is able to combine paired reads if they overlap, and it can optionally trim low-quality nucleotides. Furthermore, it can look for adapter sequence in both the 5’ and 3’ ends of the reads. This is a flexible tool that can be tuned to accommodate different experimental settings and sequencing platforms producing FASTQ files. AdapterRemoval is shown to be good at trimming adapters from both single-end and paired-end data. Conclusions AdapterRemoval is a comprehensive tool for analyzing next-generation sequencing data. It exhibits good performance both in terms of sensitivity and specificity. AdapterRemoval has already been used in various large projects and it is possible to extend it further to accommodate application-specific biases in the data.
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            Ancient DNA.

            DNA that has been recovered from archaeological and palaeontological remains makes it possible to go back in time and study the genetic relationships of extinct organisms to their contemporary relatives. This provides a new perspective on the evolution of organisms and DNA sequences. However, the field is fraught with technical pitfalls and needs stringent criteria to ensure the reliability of results, particularly when human remains are studied.
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              Phytophthora infestans: the plant (and R gene) destroyer.

              Phytophthora infestans remains a problem to production agriculture. Historically there have been many controversies concerning its biology and pathogenicity, some of which remain today. Advances in molecular biology and genomics promise to reveal fascinating insight into its pathogenicity and biology. However, the plasticity of its genome as revealed in population diversity and in the abundance of putative effectors means that this oomycete remains a formidable foe.
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                Author and article information

                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Pub. Group
                2041-1723
                18 July 2013
                : 4
                : 2172
                Affiliations
                [1 ]Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen , Øster Voldgade 5–7, 1350 Copenhagen K, Denmark
                [2 ]School of Biological Sciences, Edgeworth David Building A11, University of Sydney , Sydney, NSW 2006, Australia
                [3 ]Department of Molecular Genetics and Microbiology, Duke University Medical Center , 287 CARL Building, Box 3568 DUMC, Durham, North Carolina 27710, USA
                [4 ]Department of Biology, High-Throughput Sequencing Facility, CB no. 3280, University of North Carolina , 4256 Genome Science Building, 250 Bell Tower Drive, Chapel Hill, North Carolina 27599, USA
                [5 ]Department of Biology, Bioinformatics Centre, University of Copenhagen , Ole Maaloes Vej 5, 2200 Copenhagen N, Denmark
                [6 ]Department of Plant Pathology, 100 Derieux Place, Box 7616, North Carolina State University , Raleigh, North Carolina 27695, USA
                [7 ]Ancient DNA Laboratory, School of Veterinary and Life Sciences, Murdoch University , 90 South Street, Perth 6150, Western Australia, Australia
                Author notes
                Article
                ncomms3172
                10.1038/ncomms3172
                3759036
                23863894
                b545f18c-2494-415f-a579-26cc969c814b
                Copyright © 2013, Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved.

                This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/3.0/

                History
                : 26 April 2013
                : 20 June 2013
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