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  • 1
    Publication Date: 2009-09-11
    Description: Phytophthora infestans is the most destructive pathogen of potato and a model organism for the oomycetes, a distinct lineage of fungus-like eukaryotes that are related to organisms such as brown algae and diatoms. As the agent of the Irish potato famine in the mid-nineteenth century, P. infestans has had a tremendous effect on human history, resulting in famine and population displacement. To this day, it affects world agriculture by causing the most destructive disease of potato, the fourth largest food crop and a critical alternative to the major cereal crops for feeding the world's population. Current annual worldwide potato crop losses due to late blight are conservatively estimated at $6.7 billion. Management of this devastating pathogen is challenged by its remarkable speed of adaptation to control strategies such as genetically resistant cultivars. Here we report the sequence of the P. infestans genome, which at approximately 240 megabases (Mb) is by far the largest and most complex genome sequenced so far in the chromalveolates. Its expansion results from a proliferation of repetitive DNA accounting for approximately 74% of the genome. Comparison with two other Phytophthora genomes showed rapid turnover and extensive expansion of specific families of secreted disease effector proteins, including many genes that are induced during infection or are predicted to have activities that alter host physiology. These fast-evolving effector genes are localized to highly dynamic and expanded regions of the P. infestans genome. This probably plays a crucial part in the rapid adaptability of the pathogen to host plants and underpins its evolutionary potential.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Haas, Brian J -- Kamoun, Sophien -- Zody, Michael C -- Jiang, Rays H Y -- Handsaker, Robert E -- Cano, Liliana M -- Grabherr, Manfred -- Kodira, Chinnappa D -- Raffaele, Sylvain -- Torto-Alalibo, Trudy -- Bozkurt, Tolga O -- Ah-Fong, Audrey M V -- Alvarado, Lucia -- Anderson, Vicky L -- Armstrong, Miles R -- Avrova, Anna -- Baxter, Laura -- Beynon, Jim -- Boevink, Petra C -- Bollmann, Stephanie R -- Bos, Jorunn I B -- Bulone, Vincent -- Cai, Guohong -- Cakir, Cahid -- Carrington, James C -- Chawner, Megan -- Conti, Lucio -- Costanzo, Stefano -- Ewan, Richard -- Fahlgren, Noah -- Fischbach, Michael A -- Fugelstad, Johanna -- Gilroy, Eleanor M -- Gnerre, Sante -- Green, Pamela J -- Grenville-Briggs, Laura J -- Griffith, John -- Grunwald, Niklaus J -- Horn, Karolyn -- Horner, Neil R -- Hu, Chia-Hui -- Huitema, Edgar -- Jeong, Dong-Hoon -- Jones, Alexandra M E -- Jones, Jonathan D G -- Jones, Richard W -- Karlsson, Elinor K -- Kunjeti, Sridhara G -- Lamour, Kurt -- Liu, Zhenyu -- Ma, Lijun -- Maclean, Daniel -- Chibucos, Marcus C -- McDonald, Hayes -- McWalters, Jessica -- Meijer, Harold J G -- Morgan, William -- Morris, Paul F -- Munro, Carol A -- O'Neill, Keith -- Ospina-Giraldo, Manuel -- Pinzon, Andres -- Pritchard, Leighton -- Ramsahoye, Bernard -- Ren, Qinghu -- Restrepo, Silvia -- Roy, Sourav -- Sadanandom, Ari -- Savidor, Alon -- Schornack, Sebastian -- Schwartz, David C -- Schumann, Ulrike D -- Schwessinger, Ben -- Seyer, Lauren -- Sharpe, Ted -- Silvar, Cristina -- Song, Jing -- Studholme, David J -- Sykes, Sean -- Thines, Marco -- van de Vondervoort, Peter J I -- Phuntumart, Vipaporn -- Wawra, Stephan -- Weide, Rob -- Win, Joe -- Young, Carolyn -- Zhou, Shiguo -- Fry, William -- Meyers, Blake C -- van West, Pieter -- Ristaino, Jean -- Govers, Francine -- Birch, Paul R J -- Whisson, Stephen C -- Judelson, Howard S -- Nusbaum, Chad -- BB/E007120/1/Biotechnology and Biological Sciences Research Council/United Kingdom -- BB/G015244/1/Biotechnology and Biological Sciences Research Council/United Kingdom -- G0400284/Medical Research Council/United Kingdom -- England -- Nature. 2009 Sep 17;461(7262):393-8. doi: 10.1038/nature08358. Epub 2009 Sep 9.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02141, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19741609" target="_blank"〉PubMed〈/a〉
    Keywords: Algal Proteins/genetics ; DNA Transposable Elements/genetics ; DNA, Intergenic/genetics ; Evolution, Molecular ; Genome/*genetics ; Host-Pathogen Interactions/genetics ; Humans ; Ireland ; Molecular Sequence Data ; Necrosis ; Phenotype ; Phytophthora infestans/*genetics/pathogenicity ; Plant Diseases/immunology/*microbiology ; Solanum tuberosum/immunology/*microbiology ; Starvation
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2010-01-09
    Description: The human genome contains hundreds of regions whose patterns of genetic variation indicate recent positive natural selection, yet for most the underlying gene and the advantageous mutation remain unknown. We developed a method, composite of multiple signals (CMS), that combines tests for multiple signals of selection and increases resolution by up to 100-fold. By applying CMS to candidate regions from the International Haplotype Map, we localized population-specific selective signals to 55 kilobases (median), identifying known and novel causal variants. CMS can not just identify individual loci but implicates precise variants selected by evolution.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Grossman, Sharon R -- Shlyakhter, Ilya -- Karlsson, Elinor K -- Byrne, Elizabeth H -- Morales, Shannon -- Frieden, Gabriel -- Hostetter, Elizabeth -- Angelino, Elaine -- Garber, Manuel -- Zuk, Or -- Lander, Eric S -- Schaffner, Stephen F -- Sabeti, Pardis C -- New York, N.Y. -- Science. 2010 Feb 12;327(5967):883-6. doi: 10.1126/science.1183863. Epub 2010 Jan 7.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Center for Systems Biology, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA. shari.grossman@post.harvard.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20056855" target="_blank"〉PubMed〈/a〉
    Keywords: Computational Biology/methods ; DNA, Intergenic/genetics ; Evolution, Molecular ; Genetic Loci ; *Genetic Variation ; *Genome, Human ; Haplotypes ; Humans ; Polymorphism, Genetic ; Population Groups/genetics ; Regulatory Sequences, Nucleic Acid/genetics ; *Selection, Genetic ; Software
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 3
    Publication Date: 2008-09-13
    Description: Mexican and Peruvian hairless dogs and Chinese crested dogs are characterized by missing hair and teeth, a phenotype termed canine ectodermal dysplasia (CED). CED is inherited as a monogenic autosomal semidominant trait. With genomewide association analysis we mapped the CED mutation to a 102-kilo-base pair interval on chromosome 17. The associated interval contains a previously uncharacterized member of the forkhead box transcription factor family (FOXI3), which is specifically expressed in developing hair and teeth. Mutation analysis revealed a frameshift mutation within the FOXI3 coding sequence in hairless dogs. Thus, we have identified FOXI3 as a regulator of ectodermal development.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Drogemuller, Cord -- Karlsson, Elinor K -- Hytonen, Marjo K -- Perloski, Michele -- Dolf, Gaudenz -- Sainio, Kirsi -- Lohi, Hannes -- Lindblad-Toh, Kerstin -- Leeb, Tosso -- New York, N.Y. -- Science. 2008 Sep 12;321(5895):1462. doi: 10.1126/science.1162525.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉University of Berne, 3001 Berne, Switzerland.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/18787161" target="_blank"〉PubMed〈/a〉
    Keywords: Amino Acid Sequence ; Animals ; Chromosome Mapping ; Dog Diseases/*genetics ; Dogs/*genetics ; Ectoderm/*embryology/metabolism ; Ectodermal Dysplasia/genetics/*veterinary ; Ectodysplasins/metabolism ; Female ; Forkhead Transcription Factors/chemistry/*genetics/physiology ; *Frameshift Mutation ; Gene Duplication ; Hair/embryology/metabolism ; Haplotypes ; Male ; Mice ; Molecular Sequence Data ; Mutant Proteins/chemistry/genetics/physiology ; Pedigree ; Polymorphism, Single Nucleotide ; Sequence Analysis, DNA ; Signal Transduction ; Tooth/embryology/metabolism ; Vibrissae/embryology/metabolism
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 4
  • 5
    Publication Date: 2015-08-12
    Description: Among the unique features of humans, one of the most salient is the ability to effectively cool the body during extreme prolonged activity through the evapotranspiration of water on the skin’s surface. The evolution of this novel physiological ability required a dramatic increase in the density and distribution of eccrine...
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
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  • 6
    Publication Date: 2012-06-06
    Description: The dog was the first domesticated animal but it remains uncertain when the domestication process began and whether it occurred just once or multiple times across the Northern Hemisphere. To ascertain the value of modern genetic data to elucidate the origins of dog domestication, we analyzed 49,024 autosomal SNPs in 1,375 dogs (representing 35 breeds) and 19 wolves. After combining our data with previously published data, we contrasted the genetic signatures of 121 breeds with a worldwide archeological assessment of the earliest dog remains. Correlating the earliest archeological dogs with the geographic locations of 14 so-called “ancient” breeds (defined by their genetic differentiation) resulted in a counterintuitive pattern. First, none of the ancient breeds derive from regions where the oldest archeological remains have been found. Second, three of the ancient breeds (Basenjis, Dingoes, and New Guinea Singing Dogs) come from regions outside the natural range of Canis lupus (the dog’s wild ancestor) and where dogs were introduced more than 10,000 y after domestication. These results demonstrate that the unifying characteristic among all genetically distinct so-called ancient breeds is a lack of recent admixture with other breeds likely facilitated by geographic and cultural isolation. Furthermore, these genetically distinct ancient breeds only appear so because of their relative isolation, suggesting that studies of modern breeds have yet to shed light on dog origins. We conclude by assessing the limitations of past studies and how next-generation sequencing of modern and ancient individuals may unravel the history of dog domestication.
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
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  • 7
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    American Association for the Advancement of Science (AAAS)
    In: Science
    Publication Date: 2018-07-06
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Geosciences , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 8
    Publication Date: 2014-06-17
    Description: : Advances in typing methodologies have recently reformed the field of molecular epidemiology of pathogens. The falling cost of sequencing technologies is creating a deluge of whole genome sequencing data that burdens bioinformatics resources and tool development. In particular, single nucleotide polymorphisms in core genomes of pathogens are recognized as the most important markers for inferring genetic relationships because they are evolutionarily stable and amenable to high-throughput detection methods. Sequence data will provide an excellent opportunity to extend our understanding of infectious disease when the challenge of extracting knowledge from available sequence resources is met. Here, we present an efficient and user-friendly genotype classification pipeline, CanSNPer, based on an easily expandable database of predefined canonical single nucleotide polymorphisms. Availability and implementation: All documentation and Python-based source code for the CanSNPer are freely available at http://github.com/adrlar/CanSNPer . Contact: adrian.larkeryd@foi.se
    Print ISSN: 1367-4803
    Electronic ISSN: 1460-2059
    Topics: Biology , Computer Science , Medicine
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