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Characterizing the Infection-Induced Transcriptome of Nasonia vitripennis Reveals a Preponderance of Taxonomically-Restricted Immune Genes

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2013

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Public Library of Science
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Sackton, Timothy B., John H. Werren, and Andrew G. Clark. 2013. “Characterizing the Infection-Induced Transcriptome of Nasonia vitripennis Reveals a Preponderance of Taxonomically-Restricted Immune Genes.” PLoS ONE 8 (12): e83984. doi:10.1371/journal.pone.0083984. http://dx.doi.org/10.1371/journal.pone.0083984.

Abstract

The innate immune system in insects consists of a conserved core signaling network and rapidly diversifying effector and recognition components, often containing a high proportion of taxonomically-restricted genes. In the absence of functional annotation, genes encoding immune system proteins can thus be difficult to identify, as homology-based approaches generally cannot detect lineage-specific genes. Here, we use RNA-seq to compare the uninfected and infection-induced transcriptome in the parasitoid wasp Nasonia vitripennis to identify genes regulated by infection. We identify 183 genes significantly up-regulated by infection and 61 genes significantly down-regulated by infection. We also produce a new homology-based immune catalog in N. vitripennis, and show that most infection-induced genes cannot be assigned an immune function from homology alone, suggesting the potential for substantial novel immune components in less well-studied systems. Finally, we show that a high proportion of these novel induced genes are taxonomically restricted, highlighting the rapid evolution of immune gene content. The combination of functional annotation using RNA-seq and homology-based annotation provides a robust method to characterize the innate immune response across a wide variety of insects, and reveals significant novel features of the Nasonia immune response.

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Biology, Evolutionary Biology, Evolutionary Immunology, Genomic Evolution, Genomics, Genome Analysis Tools, Transcriptomes, Comparative Genomics, Functional Genomics, Genome Expression Analysis, Immunology, Immunity, Innate Immunity, Zoology, Entomology

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