Projects per year
Abstract
Digital gene expression (DGE) analysis offers a route to gene discovery which by-passes the need to develop bespoke arrays for nonmodel species, and is therefore a potentially valuable tool for molecular ecologists. Scottish blackface sheep, which vary in resistance to the common abomasal parasitic nematode Teladorsagia circumcincta, were trickle-infected with L3 larvae over 3 months to mimic the natural progression of infection. DGE was performed on abomasal lymph node tissue after the resolution of infection in resistant animals. Susceptible (low resistance) animals showed a large number of differentially expressed genes associated with inflammation and cell activation, but generally few differentially regulated genes in either the susceptible or the resistant group were directly involved in the adaptive immune function. Our results are consistent with the hypothesis that both resistance and susceptibility are active responses to infection and that susceptibility is associated with dysfunction in T cell differentiation and regulation.
Original language | English |
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Pages (from-to) | 910-919 |
Number of pages | 10 |
Journal | Molecular Ecology |
Volume | 20 |
Issue number | 5 |
DOIs | |
Publication status | Published - Mar 2011 |
Keywords
- agriculture
- bioinformatics/phyloinformatics
- disease biology
- genomics/proteomics
- transcriptomics
- worms
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Dive into the research topics of 'Digital gene expression analysis of gastrointestinal helminth resistance in Scottish blackface lambs'. Together they form a unique fingerprint.Projects
- 3 Finished
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A lifetime of attrition: post-genomic analyses of ecological and evolutionary processes in nematode-vertabrate systems
1/02/06 → 31/08/09
Project: Research
Datasets
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John_Hopkins_Tcircumcincta_Archive
Hopkins, J. (Creator), Simpson, C. (Depositor), Gossner, A. (Data Collector) & Pemberton, J. (Data Collector), Edinburgh DataVault, 2017
DOI: 10.7488/a2e7c6ae-0502-4a56-bddd-9325fbed7637
Dataset