PXD053620

PXD053620 is an original dataset announced via ProteomeXchange.

Title	Multi-omics approaches define novel aphid effector candidates associated with virulence and avirulence phenotypes
Description	Compatibility between aphids and plant hosts is genetically determined by both interactingorganisms. For example, plants may carry resistance (R) genes or deploy chemical defences.Aphid saliva contains many proteins that are secreted into host tissues. Subsets of these proteins are predicted to act as effectors, either subverting or triggering host immunity. However, associating particular effectors with virulence or avirulence outcomes presents challenges due to the combinatorial complexity. Here we use defined aphid and host geneticsto test for co-segregation of expressed aphid transcripts and proteins with virulent or avirulent phenotypes. We compared virulent and avirulent pea aphid parental genotypes, and their bulk segregant F1 progeny on Medicago truncatula genotypes carrying or lacking the RAP1 resistance quantitative trait locus. Differential expression analysis based on RNA sequencing of whole bodyand head samples, in combination with proteomics of saliva and salivary glands, enabled us to pinpoint proteins associated with virulence/avirulence phenotypes. There was relatively little impact of host genotype, whereas large numbers of transcripts and proteins were differentially expressed between parental aphids, likely a reflection of their classification as divergent biotypes within the pea aphid species complex. Many fewer transcripts intersected with the equivalent differential expression patterns in the bulked F1F1 progeny, providing an effective filter for removing genomic background effects. Overall, there were more upregulated genes detected in the F1 avirulent dataset compared with the virulent one. Some of the differentially expressed transcripts were also found in the differentially expressed proteomes, with aminopeptidase N proteins being the most frequent differentiallyexpressed family. In addition, a substantial proportion (23%) of salivary proteins lack annotations, suggesting that many novel functions remain to be discovered.
HostingRepository	PRIDE
AnnounceDate	2024-10-28
AnnouncementXML	Submission_2024-10-28_06:16:05.556.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	James Carolan
SpeciesList	scientific name: Acyrthosiphon pisum (Pea aphid); NCBI TaxID: 7029;
ModificationList	iodoacetamide derivatized residue
Instrument	Q Exactive HF

Revision	Datetime	Status	ChangeLog Entry
0	2024-07-03 16:40:30	ID requested
⏵ 1	2024-10-28 06:16:05	announced

Dataset with its publication pending

submitter keyword: biotypes, saliva, clones,Pea aphid, salivary glands

Dr Jim Carolan
contact affiliation	Applied Proteomics Laboratory, Department of Biology, Maynooth University, Ireland.
contact email	james.carolan@mu.ie
lab head
James Carolan
contact affiliation	Biology
contact email	james.carolan@nuim.ie
dataset submitter

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PRIDE project URI

• PRIDE
  1. PXD053620
     1. Label: PRIDE project
     2. Name: Multi-omics approaches define novel aphid effector candidates associated with virulence and avirulence phenotypes