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Cristina Silvar

Bio: Cristina Silvar is an academic researcher from Spanish National Research Council. The author has contributed to research in topics: Pepper & Powdery mildew. The author has an hindex of 17, co-authored 31 publications receiving 1936 citations. Previous affiliations of Cristina Silvar include Julius Kühn-Institut & University of A Coruña.

Papers
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Journal ArticleDOI
Brian J. Haas1, Sophien Kamoun2, Sophien Kamoun3, Michael C. Zody4, Michael C. Zody1, Rays H. Y. Jiang5, Rays H. Y. Jiang1, Robert E. Handsaker1, Liliana M. Cano2, Manfred Grabherr1, Chinnappa D. Kodira6, Chinnappa D. Kodira1, Sylvain Raffaele2, Trudy Torto-Alalibo3, Trudy Torto-Alalibo6, Tolga O. Bozkurt2, Audrey M. V. Ah-Fong7, Lucia Alvarado1, Vicky L. Anderson8, Miles R. Armstrong9, Anna O. Avrova9, Laura Baxter10, Jim Beynon10, Petra C. Boevink9, Stephanie R. Bollmann11, Jorunn I. B. Bos3, Vincent Bulone12, Guohong Cai13, Cahid Cakir3, James C. Carrington14, Megan Chawner15, Lucio Conti16, Stefano Costanzo11, Richard Ewan16, Noah Fahlgren14, Michael A. Fischbach17, Johanna Fugelstad12, Eleanor M. Gilroy9, Sante Gnerre1, Pamela J. Green18, Laura J. Grenville-Briggs8, John Griffith15, Niklaus J. Grünwald11, Karolyn Horn15, Neil R. Horner8, Chia-Hui Hu19, Edgar Huitema3, Dong-Hoon Jeong18, Alexandra M. E. Jones2, Jonathan D. G. Jones2, Richard W. Jones11, Elinor K. Karlsson1, Sridhara G. Kunjeti20, Kurt Lamour21, Zhenyu Liu3, Li-Jun Ma1, Dan MacLean2, Marcus C. Chibucos22, Hayes McDonald23, Jessica McWalters15, Harold J. G. Meijer5, William Morgan24, Paul Morris25, Carol A. Munro8, Keith O'Neill6, Keith O'Neill1, Manuel D. Ospina-Giraldo15, Andrés Pinzón, Leighton Pritchard9, Bernard H Ramsahoye26, Qinghu Ren27, Silvia Restrepo, Sourav Roy7, Ari Sadanandom16, Alon Savidor28, Sebastian Schornack2, David C. Schwartz29, Ulrike Schumann8, Ben Schwessinger2, Lauren Seyer15, Ted Sharpe1, Cristina Silvar2, Jing Song3, David J. Studholme2, Sean M. Sykes1, Marco Thines2, Marco Thines30, Peter J. I. van de Vondervoort5, Vipaporn Phuntumart25, Stephan Wawra8, R. Weide5, Joe Win2, Carolyn A. Young3, Shiguo Zhou29, William E. Fry13, Blake C. Meyers18, Pieter van West8, Jean B. Ristaino19, Francine Govers5, Paul R. J. Birch31, Stephen C. Whisson9, Howard S. Judelson7, Chad Nusbaum1 
17 Sep 2009-Nature
TL;DR: The sequence of the P. infestans genome is reported, which at ∼240 megabases (Mb) is by far the largest and most complex genome sequenced so far in the chromalveolates and probably plays a crucial part in the rapid adaptability of the pathogen to host plants and underpins its evolutionary potential.
Abstract: 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(1). 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(1). Current annual worldwide potato crop losses due to late blight are conservatively estimated at $6.7 billion(2). Management of this devastating pathogen is challenged by its remarkable speed of adaptation to control strategies such as genetically resistant cultivars(3,4). Here we report the sequence of the P. infestans genome, which at similar to 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 similar to 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.

1,341 citations

Journal ArticleDOI
TL;DR: No correlation was found between groups obtained by RAPD analysis and groups defined by virulence or metalaxyl response, and a relationship between the Spanish population and a representative worldwide group of isolates was established.
Abstract: Phytophthora crown rot, caused by Phytophthora capsici, is potentially the most destructive disease of pepper in Spain. Phenotypic and genetic diversity of 16 P. capsici isolates collected from 11 farms in northwest Spain was characterized based on virulence, mating type, sensitivity to metalaxyl, and genetic analysis using random amplified polymorphic DNA (RAPD) methods. Low variability was observed among the isolates in their metalaxyl response, with 87.5% being highly sensitive. No isolates of the A2 mating type were detected. More variability was found in the virulence assay, and isolates were classified into two groups according to their pathogenicity on a set of four pepper cultivar differentials. Genetic variation examined with eight RAPD primers generated 92 polymorphic bands and revealed the existence of different patterns among isolates. Cluster analysis using the unweighted pair-group method with arithmetic averages (UPGMA) separated the Spanish isolates into three RAPD groups and esta...

86 citations

Journal ArticleDOI
TL;DR: A PCR-based method was developed for the identification and detection of Phytophthora capsici in pepper plants, and when the dilution series of target DNA were spiked with plant DNA, amplification declined two-fold in both conventional and nested PCR.
Abstract: A PCR-based method was developed for the identification and detection of Phytophthora capsici in pepper plants. Three PCR primers (CAPFW, CAPRV1 and CAPRV2) specific for P. capsiciwere designed based on the sequence of its internal transcribed spacer regions. CAPFW/CAPRV1 amplify a 452 bp product from P. capsici DNA whereas CAPFW/CAPRV2 a 595 bp fragment; neither set amplifies DNA from pepper or several fungi pathogenic to pepper. In conventional (single-round) PCR, the limit of detection was 5 pg DNA for both primer sets, whereas in nested PCR the detection limit for both was of 0.5 fg. However, when the dilution series of target DNA were spiked with plant DNA, amplification declined two-fold in both conventional and nested PCR. The CAPFW/CAPRV2 set in conventional PCR was used to detect P. capsici DNA in inoculated plants. Detection occurred as soon as 8 h post-inoculation in stem samples from infected but still symptomless plants. The method was also tested to detect fungal DNA in infected soils.

68 citations

Journal ArticleDOI
TL;DR: PR-1, peroxidase, and sesquiterpene genes were always expressed at higher levels in resistant cultivars than in the susceptible cultivar, although up-regulation was observed in both, suggesting that the differences between these pepper genotypes in susceptibility and resistance are a matter of the timing and magnitude of the defense response.

56 citations

Journal ArticleDOI
TL;DR: The real-time PCR technique developed in this study was sensitive and robust enough to assess both pathogen development and resistance to Phytophthora root rot in different pepper genotypes.
Abstract: Reliable and sensitive quantification of Phytophthora capsici in pepper plants is of crucial importance in managing the multiple syndromes caused by this pathogen. A real-time polymerase chain reaction (PCR) assay was developed for the determination of P. capsici in pepper tissues. DNA levels of a highly virulent and a less virulent isolate were measured in different pepper genotypes with varying degrees of resistance. Using SYBR Green and specific primers for P. capsici, the minimal amount of pathogen DNA quantified was 10 pg. Pathogen DNA was recorded as early as 8 h postinoculation. Thereafter, the increase was rapid in susceptible cultivars and slower in resistant ones. The amount of pathogen DNA quantified in each pepper genotype correlated with susceptibility to Phytophthora root rot. Likewise, there was a relationship between the virulence of the pathogen and the degree of colonization. Differences also were found in oomycete amount among pepper tissues, with maximal pathogen biomass occurring in stems. The real-time PCR technique developed in this study was sensitive and robust enough to assess both pathogen development and resistance to Phytophthora root rot in different pepper genotypes.

54 citations


Cited by
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Journal ArticleDOI
TL;DR: The recent convergence of molecular studies of plant immunity and pathogen infection strategies is revealing an integrated picture of the plant–pathogen interaction from the perspective of both organisms, suggesting novel biotechnological approaches to crop protection.
Abstract: Plants are engaged in a continuous co-evolutionary struggle for dominance with their pathogens. The outcomes of these interactions are of particular importance to human activities, as they can have dramatic effects on agricultural systems. The recent convergence of molecular studies of plant immunity and pathogen infection strategies is revealing an integrated picture of the plant-pathogen interaction from the perspective of both organisms. Plants have an amazing capacity to recognize pathogens through strategies involving both conserved and variable pathogen elicitors, and pathogens manipulate the defence response through secretion of virulence effector molecules. These insights suggest novel biotechnological approaches to crop protection.

2,666 citations

01 Jan 2011
TL;DR: The sheer volume and scope of data posed by this flood of data pose a significant challenge to the development of efficient and intuitive visualization tools able to scale to very large data sets and to flexibly integrate multiple data types, including clinical data.
Abstract: Rapid improvements in sequencing and array-based platforms are resulting in a flood of diverse genome-wide data, including data from exome and whole-genome sequencing, epigenetic surveys, expression profiling of coding and noncoding RNAs, single nucleotide polymorphism (SNP) and copy number profiling, and functional assays. Analysis of these large, diverse data sets holds the promise of a more comprehensive understanding of the genome and its relation to human disease. Experienced and knowledgeable human review is an essential component of this process, complementing computational approaches. This calls for efficient and intuitive visualization tools able to scale to very large data sets and to flexibly integrate multiple data types, including clinical data. However, the sheer volume and scope of data pose a significant challenge to the development of such tools.

2,187 citations

Journal ArticleDOI
Xun Xu1, Shengkai Pan1, Shifeng Cheng1, Bo Zhang1, Mu D1, Peixiang Ni1, Gengyun Zhang1, Shuang Yang1, Ruiqiang Li1, Jun Wang1, Gisella Orjeda2, Frank Guzman2, Torres M2, Roberto Lozano2, Olga Ponce2, Diana Martinez2, De la Cruz G3, Chakrabarti Sk3, Patil Vu3, Konstantin G. Skryabin4, Boris B. Kuznetsov4, Nikolai V. Ravin4, Tatjana V. Kolganova4, Alexey V. Beletsky4, Andrey V. Mardanov4, Di Genova A5, Dan Bolser5, David M. A. Martin5, Li G, Yang Y, Hanhui Kuang6, Hu Q6, Xiong X7, Gerard J. Bishop8, Boris Sagredo, Nilo Mejía, Zagorski W9, Robert Gromadka9, Jan Gawor9, Pawel Szczesny9, Sanwen Huang, Zhang Z, Liang C, He J, Li Y, He Y, Xu J, Youjun Zhang, Xie B, Du Y, Qu D, Merideth Bonierbale10, Marc Ghislain10, Herrera Mdel R, Giovanni Giuliano, Marco Pietrella, Gaetano Perrotta, Paolo Facella, O'Brien K11, Sergio Enrique Feingold, Barreiro Le, Massa Ga, Luis Aníbal Diambra12, Brett R Whitty13, Brieanne Vaillancourt13, Lin H13, Alicia N. Massa13, Geoffroy M13, Lundback S13, Dean DellaPenna13, Buell Cr14, Sanjeev Kumar Sharma14, David Marshall14, Robbie Waugh14, Glenn J. Bryan14, Destefanis M15, Istvan Nagy15, Dan Milbourne15, Susan Thomson16, Mark Fiers16, Jeanne M. E. Jacobs16, Kåre Lehmann Nielsen17, Mads Sønderkær17, Marina Iovene18, Giovana Augusta Torres18, Jiming Jiang18, Richard E. Veilleux19, Christian W. B. Bachem20, de Boer J20, Theo Borm20, Bjorn Kloosterman20, van Eck H20, Erwin Datema20, Hekkert Bt20, Aska Goverse20, van Ham Rc20, Richard G. F. Visser20 
10 Jul 2011-Nature
TL;DR: The potato genome sequence provides a platform for genetic improvement of this vital crop and predicts 39,031 protein-coding genes and presents evidence for at least two genome duplication events indicative of a palaeopolyploid origin.
Abstract: Potato (Solanum tuberosum L.) is the world's most important non-grain food crop and is central to global food security. It is clonally propagated, highly heterozygous, autotetraploid, and suffers acute inbreeding depression. Here we use a homozygous doubled-monoploid potato clone to sequence and assemble 86% of the 844-megabase genome. We predict 39,031 protein-coding genes and present evidence for at least two genome duplication events indicative of a palaeopolyploid origin. As the first genome sequence of an asterid, the potato genome reveals 2,642 genes specific to this large angiosperm clade. We also sequenced a heterozygous diploid clone and show that gene presence/absence variants and other potentially deleterious mutations occur frequently and are a likely cause of inbreeding depression. Gene family expansion, tissue-specific expression and recruitment of genes to new pathways contributed to the evolution of tuber development. The potato genome sequence provides a platform for genetic improvement of this vital crop.

1,813 citations

Journal ArticleDOI
29 Jun 2012-Science
TL;DR: Comparative analyses of 31 fungal genomes suggest that lignin-degrading peroxidases expanded in the lineage leading to the ancestor of the Agaricomycetes, which is reconstructed as a white rot species, and then contracted in parallel lineages leading to brown rot and mycorrhizal species.
Abstract: Wood is a major pool of organic carbon that is highly resistant to decay, owing largely to the presence of lignin. The only organisms capable of substantial lignin decay are white rot fungi in the Agaricomycetes, which also contains non-lignin-degrading brown rot and ectomycorrhizal species. Comparative analyses of 31 fungal genomes (12 generated for this study) suggest that lignin-degrading peroxidases expanded in the lineage leading to the ancestor of the Agaricomycetes, which is reconstructed as a white rot species, and then contracted in parallel lineages leading to brown rot and mycorrhizal species. Molecular clock analyses suggest that the origin of lignin degradation might have coincided with the sharp decrease in the rate of organic carbon burial around the end of the Carboniferous period.

1,396 citations

Journal ArticleDOI
TL;DR: It is argued that plant resistance is determined by immune receptors that recognize appropriate ligands to activate defense, the amplitude of which is likely determined by the level required for effective immunity.
Abstract: Typically, pathogen-associated molecular patterns (PAMPs) are considered to be conserved throughout classes of microbes and to contribute to general microbial fitness, whereas effectors are species, race, or strain specific and contribute to pathogen virulence. Both types of molecule can trigger plant immunity, designated PAMP-triggered and effector-triggered immunity (PTI and ETI, respectively). However, not all microbial defense activators conform to the common distinction between PAMPs and effectors. For example, some effectors display wide distribution, while some PAMPs are rather narrowly conserved or contribute to pathogen virulence. As effectors may elicit defense responses and PAMPs may be required for virulence, single components cannot exclusively be referred to by one of the two terms. Therefore, we put forward that the distinction between PAMPs and effectors, between PAMP receptors and resistance proteins, and, therefore, also between PTI and ETI, cannot strictly be maintained. Rather, as illustrated by examples provided here, there is a continuum between PTI and ETI. We argue that plant resistance is determined by immune receptors that recognize appropriate ligands to activate defense, the amplitude of which is likely determined by the level required for effective immunity.

867 citations