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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 QPX gene ontology in response to heat stress: Questions, Proteins, eXamples Annie Page-Karjian, Maya Groner, Jamie Sziklay, Ana Elisa Garcia, Ashton Griffin, Gregor-Fausto Siegmund, Sonia Singhal, Steven Roberts Keywords: Abstract Introduction QPX, clams, Temperature (mucus and cell) –hypothesis? We hypothesize that altered biochemical pathways will be associated with changes in temperature? Specifically we are interested in virulence factors, mucus production, cell growth and responses to heat stress. HELP! Virulence factors and QPX and methods to id Methods BLURB about how QPX was grown/ strain, etc. We used ILUMINA (LOCATION) to create an mRNA sequence library for QPX at each of the two temperature treatments (10°C and 21°C). This created ~400 million reads. The resulting libraries were trimmed using XX stringency and a de novo assembly was performed using both libraries in CLC () (bubble size? And stringency x?). This resulted in a backbone consisting of 11,271 contigs. Gene annotation The contigs from our de novo assembly were annotated by BLASTx against the Swis Prot database (). The annotation was delimited with a maximum e-value of 10-5 and limited to a single hit per contig. Gene ontologies and GO SLIM ontologies were assigned to Swiss Prot accession numbers for the annotated contigs. Differential Expression RNA-Seq was performed by comparing contigs from each library against the de novo backbone using CLC bio (??). Genes with more than a 2-fold difference in expression were were annotated using the previously annotated backbone. Enrichment analyses were performed in DAVID (v. 6.7 Available from http://david.abcc.ncifcrf.gov/) to compare gene ontologies for the differentially 1 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 expressed genes against the entire QPX transcriptome. Gene ontologies (GO-Fat) for biological processes that were enriched (p < 0.05) were visualized using Revigo (). Results Gene discovery section (ASHTON) (Tables and graphs) Differential Expression Summary Several GO pathways in detail Virulence factors or other factors? (Table?) Discussion Conclusions Acknowledgements The emerging infectious marine diseases consortium provided funding for the graduate course ‘Ecology of marine infectious diseases’ where the majority of this work took place. (OTHER FUNDING?) References Supek F, Bošnjak M, Škunca N, Šmuc T. "REVIGO summarizes and visualizes long lists of Gene Ontology terms" PLoS ONE 2011. doi:10.1371/journal.pone.0021800 2