Bioinformatic analysis of pea aphid salivary gland transcripts

dc.contributor.authorAksamit, Matthew Stephen
dc.date.accessioned2016-07-25T14:12:22Z
dc.date.available2016-07-25T14:12:22Z
dc.date.graduationmonthAugusten_US
dc.date.issued2014-08-01en_US
dc.date.published2014en_US
dc.description.abstractPea aphids (Acyrthosiphon pisum) are sap-sucking insects that feed on the phloem sap of some plants of the family Fabaceae (legumes). Aphids feed on host plants by inserting their stylets between plant cells to feed from phloem sap in sieve elements. Their feeding is of major agronomical importance, as aphids cause hundreds of millions of dollars in crop damage worldwide, annually. Salivary gland transcripts from plant-fed and diet-fed pea aphids were studied by RNASeq to analyze their expression. Most transcripts had higher expression in plant-fed pea aphids, likely due to the need for saliva protein in the aphid/plant interaction. Numerous salivary gland transcripts and saliva proteins have been identified in aphids, including a glutathione peroxidase. Glutathione peroxidases are a group of enzymes with the purpose of protecting organisms from oxidative damage. Here, I present a bioinformatic analysis of pea aphid expressed sequence tag libraries that identified four unique glutathione peroxidases in pea aphids. One glutathione peroxidase, ApGPx1 has high expression in the pea aphid salivary gland. Two glutathione peroxidase genes are present in the current annotation of the pea aphid genome. My work indicates that the two genes need to be revised.en_US
dc.description.advisorGerald R. Reecken_US
dc.description.degreeMaster of Scienceen_US
dc.description.departmentBiochemistry and Molecular Biophysics Interdepartmental Programen_US
dc.description.levelMastersen_US
dc.identifier.urihttp://hdl.handle.net/2097/32836
dc.language.isoen_USen_US
dc.publisherKansas State Universityen
dc.subjectPea aphiden_US
dc.subjectSalivaen_US
dc.subjectGlutathione peroxidaseen_US
dc.subjectRNASeqen_US
dc.subjectSalivary glandsen_US
dc.titleBioinformatic analysis of pea aphid salivary gland transcriptsen_US
dc.typeThesisen_US

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