Welcome to the new version of CaltechAUTHORS. Login is currently restricted to library staff. If you notice any issues, please email coda@library.caltech.edu
Published March 2014 | Accepted Version
Journal Article Open

Analysis of the transcriptome of adult Dictyocaulus filaria and comparison with Dictyocaulus viviparus, with a focus on molecules involved in host–parasite interactions

Abstract

Parasitic nematodes cause diseases of major economic importance in animals. Key representatives are species of Dictyocaulus (=lungworms), which cause bronchitis (=dictyocaulosis, commonly known as "husk") and have a major adverse impact on the health of livestock. In spite of their economic importance, very little is known about the immunomolecular biology of these parasites. Here, we conducted a comprehensive investigation of the adult transcriptome of Dictyocaulus filaria of small ruminants and compared it with that of Dictyocaulus viviparus of bovids. We then identified a subset of highly transcribed molecules inferred to be linked to host–parasite interactions, including cathepsin B peptidases, fatty-acid and/or retinol-binding proteins, β-galactoside-binding galectins, secreted protein 6 precursors, macrophage migration inhibitory factors, glutathione peroxidases, a transthyretin-like protein and a type 2-like cystatin. We then studied homologues of D. filaria type 2-like cystatin encoded in D. viviparus and 24 other nematodes representing seven distinct taxonomic orders, with a particular focus on their proposed role in immunomodulation and/or metabolism. Taken together, the present study provides new insights into nematode–host interactions. The findings lay the foundation for future experimental studies and could have implications for designing new interventions against lungworms and other parasitic nematodes. The future characterisation of the genomes of Dictyocaulus spp. should underpin these endeavours.

Additional Information

© 2014 Australian Society for Parasitology Inc. Published by Elsevier Ltd. Received 1 October 2013; Received in revised form 11 December 2013; Accepted 18 December 2013; Available online 31 January 2014. This project was funded by the Australian Research Council (ARC) and Australian National Health & Medical Research Council (NHMRC). This project was also supported by a Victorian Life Sciences Computation Initiative (VLSCI) grant number VR0007 on its Peak Computing Facility at the University of Melbourne, an initiative of the Victorian Government, Australia. Other support from the Alexander von Humboldt Foundation, Germany, and the Melbourne Water Corporation, Australia, is gratefully acknowledged (R.B.G), as is funding from and the Howard Hughes Medical Institute (HHMI), USA and National Institutes of Health (NIH), USA (P.W.S.). M.M. also received funds from NIH. N.D.Y is an NHMRC Early Career Research (ECR) Fellow. We also acknowledge the continued contributions of staff at WormBase (www.wormbase.org).

Attached Files

Accepted Version - nihms569958.pdf

Files

nihms569958.pdf
Files (1.4 MB)
Name Size Download all
md5:6c143c3e99d32aa88545cccbff1ad5c1
1.4 MB Preview Download

Additional details

Created:
August 22, 2023
Modified:
October 25, 2023