Journal
MOLECULAR ECOLOGY
Volume 20, Issue 5, Pages 910-919Publisher
WILEY
DOI: 10.1111/j.1365-294X.2010.04992.x
Keywords
agriculture; bioinformatics; phyloinformatics; disease biology; genomics; proteomics; transcriptomics; worms
Funding
- Medical Research Council [G0900740] Funding Source: researchfish
- Natural Environment Research Council [NE/D000602/1, NBAF010003, NE/D000645/1] Funding Source: researchfish
- MRC [G0900740] Funding Source: UKRI
- NERC [NE/D000645/1, NBAF010003, NE/D000602/1] Funding Source: UKRI
- Biotechnology and Biological Sciences Research Council [BS516875] Funding Source: Medline
- Medical Research Council [G0900740] Funding Source: Medline
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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.
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