Functional Genomics Analysis of Newly Sequenced

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Functional Genomics Analysis of Newly Sequenced Species with Blast2GO Carlos Menor, David Seide, Robert Nica, Mariana Monteiro, Alejandro Rocamonde, Francisco Salavert, Stefan Götz BioBam Bioinformatics S.L., Valencia, Spain Abstract Toolbox features RNA-seq Features: Functional genomics attempts to describe functions of genes and Quality assessment, trimming, assembly, quantification, pair- proteins by making use of data derived from genomic and filtering and adapter removal of wise and time-course transcriptomic experiments. raw sequence data differential expressions analysis Blast2GO is a bioinformatics platform which offers an integrated solution for functional genomics analysis of novel genomes. It allows biologists to get from raw NGS data through all steps up to the Eukaryotic and prokaryotic High-throughput functional generation of biological insights for a species without any previous genome characterization annotation prediction genome resources. supported by RNA-seq data This poster provides an overview of the different analysis strategies, details about new features as well as describes the bioinformatic Rich Visualization: Functional enrichment and pipeline of a de-novo transcriptomics analysis - from read-assembly up Track-based genome browser for pathway analysis to the functional analysis and generation of biological insights. GFF, VCF, BAM and FASTA files 1. Quality check and pre-processing Complete Transcriptome 3. Expression quantification and raw sequence data Analysis Workflow differential expression analysis A good quality control check and preprocessing Blast2GO provides a fast and easy way to of raw sequence data coming from high quantify transcript expression levels from RNA- throughput sequencing pipelines is fundamental Seq data and to perform differential expression for optimal downstream analysis. Blast2GO analysis to detect significantly expressed provides summary evaluations that guide the transcripts. Pair-wise comparisons as well as preprocessing of libraries, which includes time-course analysis can be conducted. adapters removal, trimming and filtering of low quality reads. 2. De novo transcript reconstruction and functional characterization 4. Functional Enrichment Analysis Blast2GO allows to reconstruct the By combining differential expression results transcriptome by assembling RNA sequencing with functional annotations, enrichment reads into contigs without the use of a analysis can be carried out using two different reference genome. The resulting transcripts can methods: Fisher’s Exact Test and GSEA. be evaluated and characterized taking Blast2GO can identify functions that are over- advantage of different functionalities: Blast, represented in a group of transcripts. The GO Annotation, InterProScan, Coding Potential interpretation of results allows to gain a better Assessment, KEGG Pathways, RFAM, EggNOG, understanding of the underlying biological etc. processes. Please visit www.blast2go.com Developed and maintained by BioBam Bioinformatics which is internationally recognized for its expertise in functional genomic analysis demonstrated by over 7000 citations..

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microorganisms Article Label-Free Quantitative Proteomics Analysis in Susceptible and Resistant Brassica napus Cultivars Infected with Xanthomonas campestris pv. campestris Md Tabibul Islam 1,2, Bok-Rye Lee 1,3 , Van Hien La 1, Dong-Won Bae 4, Woo-Jin Jung 5 and Tae-Hwan Kim 1,* 1 Department of Animal Science, Institute of Agricultural Science and Technology, College of Agriculture & Life Science, Chonnam National University, Gwangju 61186, Korea; [email protected] (M.T.I.); [email protected] (B.-R.L.); [email protected] (V.H.L.) 2 Alson H. Smith Jr. Agricultural Research and Extension Center, School of Plant and Environmental Sciences, Virginia Tech, Winchester, VA 22602, USA 3 Asian Pear Research Institute, Chonnam National University, Gwangju 61186, Korea 4 Central Instrument Facility, Gyeongsang National University, Jinju 52828, Korea; [email protected] 5 Division of Applied Bioscience and Biotechnology, Institute of Environmentally Friendly Agriculture (IEFA), College of Agriculture and Life Science, Chonnam National University, Gwangju 61186, Korea; [email protected] * Correspondence: [email protected]; Tel.: +82-62-530-2126 Abstract: Black rot, caused by Xanthomonas campestris pv. campestris (Xcc), is the main disease of cruciferous vegetables. To characterize the resistance mechanism in the Brassica napus–Xcc pathosys- tem, Xcc-responsive proteins in susceptible (cv. Mosa) and resistant (cv. Capitol) cultivars were investigated using gel-free quantitative proteomics and analysis of gene expression. This allowed us to identify 158 and 163 differentially expressed proteins following Xcc infection in cv. Mosa and cv. Citation: Islam, M.T.; Lee, B.-R.; Capitol, respectively, and to classify them into ﬁve major categories including antioxidative systems, La, V.H.; Bae, D.-W.; Jung, W.-J.; proteolysis, photosynthesis, redox, and innate immunity.
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Pan-Genome-Wide Analysis of Pantoea Ananatis Identified Genes Linked to Pathogenicity In
bioRxiv preprint doi: https://doi.org/10.1101/2020.07.24.219337; this version posted July 24, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. Pan-genome-wide analysis of Pantoea ananatis identified genes linked to pathogenicity in onion Gaurav Agarwal1*, Divya Choudhary1, Shaun P. Stice2, Brendon K. Myers1, Ronald D. Gitaitis1, Stephanus N. Venter3, Brian H. Kvitko2, Bhabesh Dutta1* 1Department of Plant Pathology, Coastal Plain Experimental Station, University of Georgia, Tifton, Georgia, USA 2Department of Plant Pathology, University of Georgia, Athens, Georgia, USA 3Department of Biochemistry, Genetics and Microbiology, Forestry and Agricultural Biotechnology Institute, University of Pretoria, Pretoria, South Africa *Corresponding authors: [email protected] (BD); [email protected] (GA) 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.07.24.219337; this version posted July 24, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. Abstract Pantoea ananatis is a member of a Pantoea spp. complex that causes center rot of onion, which significantly affects onion yield and quality. This pathogen does not have typical virulence factors like type II or type III secretion systems but appears to require a biosynthetic gene-cluster, HiVir/PASVIL (located chromosomally), for a phosphonate secondary metabolite, and the onion- virulence regions, OVR (localized on a megaplasmid), for onion pathogenicity and virulence, respectively.
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insects Article Workflows for Rapid Functional Annotation of Diverse Arthropod Genomes Surya Saha 1,2 , Amanda M. Cooksey 2,3, Anna K. Childers 4 , Monica F. Poelchau 5 and Fiona M. McCarthy 2,* 1 Boyce Thompson Institute, 533 Tower Rd., Ithaca, NY 14853, USA; [email protected] 2 School of Animal and Comparative Biomedical Sciences, University of Arizona, 1117 E. Lowell St., Tucson, AZ 85721, USA; [email protected] 3 CyVerse, BioScience Research Laboratories, University of Arizona, 1230 N. Cherry Ave., Tucson, AZ 85721, USA 4 Bee Research Laboratory, Beltsville Agricultural Research Center, Agricultural Research Service, USDA, 10300 Baltimore Ave., Beltsville, MD 20705, USA; [email protected] 5 National Agricultural Library, Agricultural Research Service, USDA, 10301 Baltimore Ave., Beltsville, MD 20705, USA; [email protected] * Correspondence: fi[email protected] Simple Summary: Genomic technologies are accumulating information about genes faster than ever before, and sequencing initiatives, such as the Earth BioGenome Project, i5k, and Ag100Pest Initiative, are expected to increase this rate of acquisition. However, if genomic sequencing is to be used for the improvement of human health, agriculture, and our understanding of biological systems, it is necessary to identify genes and understand how they contribute to biological outcomes. While there are several well-established workflows for assembling genomic sequences and identifying genes, understanding gene function is essential to create actionable knowledge. Moreover, this functional annotation process must be easily accessible and provide information at a genomic scale to keep up Citation: Saha, S.; Cooksey, A.M.; with new sequence data. We report a well-defined workflow for rapid functional annotation of whole Childers, A.K.; Poelchau, M.F.; proteomes to produce Gene Ontology and pathways information.
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How the energy sensor, AMPK, impact the testicular function Pascal Froment, Mélanie Faure, Edith Guibert, Jean-Pierre Brillard To cite this version: Pascal Froment, Mélanie Faure, Edith Guibert, Jean-Pierre Brillard. How the energy sensor, AMPK, impact the testicular function. 27. Conference of European Comparative Endocrinologists, Aug 2014, Rennes, France. 2014. hal-02742016 HAL Id: hal-02742016 https://hal.inrae.fr/hal-02742016 Submitted on 3 Jun 2020 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Copyright 27th Conference of European Comparative Endocrinologists CECE 2014 25-29 August 2014 Rennes, France 3 27th Conference of European Comparative Endocrinologists Organized with the generous support and help of our sponsors Université de Rennes 1 European Society for Comparative Endocrinology (Grants) European Union INTEREG TC2N Rennes Métropole European Society of Endocrinology (Grants) Institut National de la Recherche Agronomique Société de Neuroendocrinologie (Grants) Institut National de l'Environnement Industriel et des Risques !"#$%$&$'()'*)+,)*+,)'#&*'-.'#."$/
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