Georgios J. Pappas
University of Brasília
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Publication
Featured researches published by Georgios J. Pappas.
Nature | 2014
Alexander Andrew Myburg; Dario Grattapaglia; Gerald A. Tuskan; Uffe Hellsten; Richard D. Hayes; Jane Grimwood; Jerry Jenkins; Erika Lindquist; Hope Tice; Diane Bauer; David Goodstein; Inna Dubchak; Alexandre Poliakov; Eshchar Mizrachi; Anand Raj Kumar Kullan; Steven G. Hussey; Desre Pinard; Karen Van der Merwe; Pooja Singh; Ida Van Jaarsveld; Orzenil Bonfim Silva-Junior; Roberto C. Togawa; Marilia R. Pappas; Danielle A. Faria; Carolina Sansaloni; Cesar D. Petroli; Xiaohan Yang; Priya Ranjan; Timothy J. Tschaplinski; Chu-Yu Ye
Eucalypts are the world’s most widely planted hardwood trees. Their outstanding diversity, adaptability and growth have made them a global renewable resource of fibre and energy. We sequenced and assembled >94% of the 640-megabase genome of Eucalyptus grandis. Of 36,376 predicted protein-coding genes, 34% occur in tandem duplications, the largest proportion thus far in plant genomes. Eucalyptus also shows the highest diversity of genes for specialized metabolites such as terpenes that act as chemical defence and provide unique pharmaceutical oils. Genome sequencing of the E. grandis sister species E. globulus and a set of inbred E. grandis tree genomes reveals dynamic genome evolution and hotspots of inbreeding depression. The E. grandis genome is the first reference for the eudicot order Myrtales and is placed here sister to the eurosids. This resource expands our understanding of the unique biology of large woody perennials and provides a powerful tool to accelerate comparative biology, breeding and biotechnology.
Genome Biology | 2016
Anna Vlasova; Salvador Capella-Gutiérrez; Martha Rendón-Anaya; Miguel Hernández-Oñate; André E. Minoche; Ionas Erb; Francisco Câmara; Pablo Prieto-Barja; André Corvelo; Walter Sanseverino; Gastón Westergaard; Juliane C. Dohm; Georgios J. Pappas; Soledad Saburido-Álvarez; Darek Kedra; Irene González; Luca Cozzuto; Jèssica Gómez-Garrido; María A. Aguilar-Morón; Nuria Andreu; O. Mario Aguilar; Jordi Garcia-Mas; Maik Zehnsdorf; Martin P. Vazquez; Alfonso Delgado-Salinas; Luis Delaye; Ernesto Lowy; Alejandro Mentaberry; Rosana Pereira Vianello-Brondani; José Luis García
BackgroundLegumes are the third largest family of angiosperms and the second most important crop class. Legume genomes have been shaped by extensive large-scale gene duplications, including an approximately 58 million year old whole genome duplication shared by most crop legumes.ResultsWe report the genome and the transcription atlas of coding and non-coding genes of a Mesoamerican genotype of common bean (Phaseolus vulgaris L., BAT93). Using a comprehensive phylogenomics analysis, we assessed the past and recent evolution of common bean, and traced the diversification of patterns of gene expression following duplication. We find that successive rounds of gene duplications in legumes have shaped tissue and developmental expression, leading to increased levels of specialization in larger gene families. We also find that many long non-coding RNAs are preferentially expressed in germ-line-related tissues (pods and seeds), suggesting that they play a significant role in fruit development. Our results also suggest that most bean-specific gene family expansions, including resistance gene clusters, predate the split of the Mesoamerican and Andean gene pools.ConclusionsThe genome and transcriptome data herein generated for a Mesoamerican genotype represent a counterpart to the genomic resources already available for the Andean gene pool. Altogether, this information will allow the genetic dissection of the characters involved in the domestication and adaptation of the crop, and their further implementation in breeding strategies for this important crop.
BMC Genomics | 2013
Magda Aparecida Beneventi; Orzenil Bonfim da Silva; Maria Eugênia Lisei de Sá; Alexandre Augusto Pereira Firmino; Regina Maria Santos de Amorim; Erika V.S. Albuquerque; Maria Cristina Mattar da Silva; Joseane Padilha da Silva; Magnólia de Araújo Campos; Marcus José Conceição Lopes; Roberto C. Togawa; Georgios J. Pappas; Maria Fátima Grossi de Sá
BackgroundRoot-knot nematodes (RKN– Meloidogyne genus) present extensive challenges to soybean crop. The soybean line (PI 595099) is known to be resistant against specific strains and races of nematode species, thus its differential gene expression analysis can lead to a comprehensive gene expression profiling in the incompatible soybean-RKN interaction. Even though many disease resistance genes have been studied, little has been reported about phytohormone crosstalk on modulation of ROS signaling during soybean-RKN interaction.ResultsUsing 454 technology to explore the common aspects of resistance reaction during both parasitism and resistance phases it was verified that hormone, carbohydrate metabolism and stress related genes were consistently expressed at high levels in infected roots as compared to mock control. Most noteworthy genes include those encoding glycosyltransferases, peroxidases, auxin-responsive proteins and gibberellin-regulated genes. Our data analysis suggests the key role of glycosyltransferases, auxins and components of gibberellin signal transduction, biosynthesis and deactivation pathways in the resistance reaction and their participation in jasmonate signaling and redox homeostasis in mediating aspects of plant growth and responses to biotic stress.ConclusionsBased on this study we suggest a reasonable model regarding to the complex mechanisms of crosstalk between plant hormones, mainly gibberellins and auxins, which can be crucial to modulate the levels of ROS in the resistance reaction to nematode invasion. The model also includes recent findings concerning to the participation of DELLA-like proteins and ROS signaling controlling plant immune or stress responses. Furthermore, this study provides a dataset of potential candidate genes involved in both nematode parasitism and resistance, which can be tested further for their role in this biological process using functional genomics approaches.
Aob Plants | 2012
M.A.N. Passos; Viviane de Oliveira Cruz; F.L. Emediato; Cristiane de Camargo Teixeira; Manoel Souza; Takashi Matsumoto; Vânia C. R. Azevedo; Claudia Fortes Ferreira; Edson Perito Amorim; Lucio Flavio De Alencar Figueiredo; Natália F. Martins; Maria de Jesus B. Cavalcante; Franc-Christophe Baurens; Orzenil Bonfim da Silva; Georgios J. Pappas; Luc Pignolet; Catherine Abadie; A. Y. Ciampi; Pietro Piffanelli; Robert N.G. Miller
Many varieties of banana (Musa acuminata) lack resistance to biotic stresses. An EST collection was developed, including transcripts expressed in banana-Mycosphaerella fijiensis interactions. Developed polymorphic gene-derived SSR markers are applicable for genetic mapping, diversity characterization and marker assisted breeding.
Nucleic Acids Research | 2018
Rafael Hernández-de-Diego; Sonia Tarazona; Carlos Martínez-Mira; Leandro Balzano-Nogueira; Pedro Furió-Tarí; Georgios J. Pappas; Ana Conesa
Abstract The increasing availability of multi-omic platforms poses new challenges to data analysis. Joint visualization of multi-omics data is instrumental in better understanding interconnections across molecular layers and in fully utilizing the multi-omic resources available to make biological discoveries. We present here PaintOmics 3, a web-based resource for the integrated visualization of multiple omic data types onto KEGG pathway diagrams. PaintOmics 3 combines server-end capabilities for data analysis with the potential of modern web resources for data visualization, providing researchers with a powerful framework for interactive exploration of their multi-omics information. Unlike other visualization tools, PaintOmics 3 covers a comprehensive pathway analysis workflow, including automatic feature name/identifier conversion, multi-layered feature matching, pathway enrichment, network analysis, interactive heatmaps, trend charts, and more. It accepts a wide variety of omic types, including transcriptomics, proteomics and metabolomics, as well as region-based approaches such as ATAC-seq or ChIP-seq data. The tool is freely available at www.paintomics.org
high performance computing and communications | 2008
Edward de Oliveira Ribeiro; Maria Emilia Telles Walter; Marcos Mota do Carmo Costa; Roberto C. Togawa; Georgios J. Pappas
The peer-to-peer (P2P) model is currently being used for applications that demand great amount of time and space resources, taking advantage of idle and geographically distributed machines. Bioinformatics is a field that requires large amount of computational resources. In this context, we propose a P2P model that executes a particular bioinformatics application, named BLAST. This is a method for comparing two biological sequences at a time. But it requires a great amount of computation, since it compares a big file containing thousands of sequences that are being investigated and a very large database containing millions of biological sequences. We describe in detail the architecture of our framework, and present experiments using real biological data, that were executed on machines available in three institutions of Brazil - University of Brasilia, Catholic University of Brasilia and Embrapa/Genetic Resources and Biotechnology. The obtained results, when comparing the execution of BLAST in this P2P framework and its execution in the best machine of the three institutions, show that our P2P model can efficiently run other bioinformatics applications.
Plant Molecular Biology Reporter | 2014
Bárbara Salomão de Faria Müller; Tetsu Sakamoto; Ricardo Diógenes Dias Silveira; Patricia Fernanda Zambussi-Carvalho; Maristela Pereira; Georgios J. Pappas; Marcos Mota do Carmo Costa; C. M. Guimarães; Wendell Jacinto Pereira; Claudio Brondani; Rosana Pereira Vianello-Brondani
Plant Molecular Biology Reporter | 2015
Bárbara Salomão de Faria Müller; Georgios J. Pappas; P. A. M. R. Valdisser; Gesimária Ribeiro Costa Coelho; Ivandilson Pessoa Pinto de Menezes; Aluana Gonçalves de Abreu; Tereza Cristina de Oliveira Borba; Tetsu Sakamoto; Claudio Brondani; Everaldo Gonçalves de Barros; Rosana Pereira Vianello
Molecular Genetics and Genomics | 2016
P. A. M. R. Valdisser; Georgios J. Pappas; Ivandilson Pessoa Pinto de Menezes; Bárbara S. F. Müller; Wendell J. Pereira; Marcelo Gonçalves Narciso; Claudio Brondani; Thiago Lívio Pessoa Oliveira de Souza; Tereza Cristina de Oliveira Borba; Rosana Pereira Vianello
Acta Horticulturae | 2013
F.L. Emediato; M.A.N. Passos; C. de Camargo Teixeira; Georgios J. Pappas; R. N. G. Miller
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Dive into the Georgios J. Pappas's collaboration.
Bárbara Salomão de Faria Müller
Empresa Brasileira de Pesquisa Agropecuária
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