home > bioproject > PRJEB9912
identifier PRJEB9912
type bioproject
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title Aphid RNA-seq to identify putative effectors
description Background Aphids cause a substantial amount of damage and therefore yield loss to world-wide agriculture. Aphids interact with their hosts at a molecular level using molecules secreted in their saliva (effectorss). In this study we used a multi-disciplinary approach of RNA sequencing of dissected aphid material and LC-MS analysis of aphid saliva in order to identify effector candidates from generalist Myzus persicae (genotypes O, J and F), a specialist species M. cerasi and the cereal specialist Rhopalosiphum padi. Results Proteomic analysis of aphid saliva identified a total of 204 proteins. RNA sequencing and the use of differential expression analysis between heads (contains salivary glands) and bodies (without nymphs and without heads) identified transcripts which were upregulated in “heads”, those encoding signal peptides and no transmembrane domain were considered putative effectors. The majority of candidate effectors had sequences with high similarity only to other aphid sequences, indicating aphid specific evolution. De novo transcriptomes were subjected to comparative analysis to identify conserved/core aphid effectors and putative pioneer effectors. The “conserved” effectors consisted of a number of sequences predicted to be involved in the detoxification of plant defence responses and previously identified effector candidates (Bos et al., 2010), including 50 hypothetical Acyrthosiphon pisum salivary gland sequences (Carolan et al., 2011). Several of these sequences were identified as being under positive selection pressure, including previously identified Macrosiphum euphorbiae effector Me10 (Atamian et al., 2013) which was also within the top 120 expressing transcripts in all species. 43 putative pioneer effectors were identified, some of which may be species or genus specific. Conclusion A combined proteomic and bioinformatic approach identified putative effectors from three species of aphids. Clustering analysis was used to identify conserved groups of putative effectors that may be a per-requisite for plant-aphid interactions.
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dbXrefs
sra-run  ERR983159ERR983160ERR983161ERR983162ERR983163ERR983164ERR983165ERR983166ERR983167ERR983168 More
sra-submission  ERA466259
biosample  SAMEA3505144SAMEA3505145SAMEA3505146SAMEA3505147SAMEA3505148SAMEA3505149SAMEA3505150SAMEA3505151SAMEA3505152SAMEA3505153 More
sra-study  ERP011063
sra-sample  ERS812293ERS812294ERS812295ERS812296ERS812297ERS812298ERS812299ERS812300ERS812301ERS812302 More
sra-experiment  ERX1064374ERX1064375ERX1064376ERX1064377ERX1064378ERX1064379ERX1064380ERX1064381ERX1064382ERX1064383 More
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visibility unrestricted-access
dateCreated 2015-07-25T00:00:00Z
dateModified 2015-07-25T00:00:00Z
datePublished 2015-07-24T00:00:00Z