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Full-Text Articles in Life Sciences
Structure Of The Ambrosia Beetle (Coleoptera: Curculionidae) Mycangia Revealed Through Micro-Computed Tomography, You Li, Yongying Ruan, Matthew T. Kasson, Edward L. Stanley, Conrad P.D.T Gillett, Andrew J. Johnson, Mengna Zhang, Jiri Hulcr
Structure Of The Ambrosia Beetle (Coleoptera: Curculionidae) Mycangia Revealed Through Micro-Computed Tomography, You Li, Yongying Ruan, Matthew T. Kasson, Edward L. Stanley, Conrad P.D.T Gillett, Andrew J. Johnson, Mengna Zhang, Jiri Hulcr
Faculty & Staff Scholarship
Ambrosia beetles (Coleoptera: Curculionidae: Scolytinae and Platypodinae) rely on a symbiosis with fungi for their nutrition. Symbiotic fungi are preserved and transported in specialized storage structures called mycangia. Although pivotal in the symbiosis, mycangia have been notoriously difficult to study, given their minute size and membranous structure. We compared the application of novel visualization methods for the study of mycangia, namely micro-computed tomography (micro-CT) and laser ablation tomography (LATscan) with traditional paraffin sectioning. Micro-CT scanning has shown the greatest promise in new organ discovery, while sectioning remains the only method with sufficient resolution for cellular visualization. All three common types …
Genome-Wide Association Analysis With A 50k Transcribed Gene Snp-Chip Identifies Qtl Affecting Muscle Yield In Rainbow Trout, Mohamed Salem, Rafet Al-Tobasei, Ali Ali, Daniela Lourenco, Guangtu Gao, Yniv Palti, Brett Kenney, Timothy D. Leeds
Genome-Wide Association Analysis With A 50k Transcribed Gene Snp-Chip Identifies Qtl Affecting Muscle Yield In Rainbow Trout, Mohamed Salem, Rafet Al-Tobasei, Ali Ali, Daniela Lourenco, Guangtu Gao, Yniv Palti, Brett Kenney, Timothy D. Leeds
Faculty & Staff Scholarship
Detection of coding/functional SNPs that change the biological function of a gene may lead to identification of putative causative alleles within QTL regions and discovery of genetic markers with large effects on phenotypes. This study has two-fold objectives, first to develop, and validate a 50K transcribed gene SNP-chip using RNA-Seq data. To achieve this objective, two bioinformatics pipelines, GATK and SAMtools, were used to identify ∼21K transcribed SNPs with allelic imbalances associated with important aquaculture production traits including body weight, muscle yield, muscle fat content, shear force, and whiteness in addition to resistance/susceptibility to bacterial cold-water disease (BCWD). SNPs ere …