Journal article

Dictyocaulus viviparus genome, variome and transcriptome elucidate lungworm biology and support future intervention

Samantha N McNulty, Christina Struebe, Bruce A Rosa, John C Martin, Rahul Tyagi, Young-Jun Choi, Qi Wang, Kymberlie Hallsworth Pepin, Xu Zhang, Philip Ozersky, Richard K Wilson, Paul W Sternberg, Robin B Gasser, Makedonka Mitreva

SCIENTIFIC REPORTS | NATURE RESEARCH | Published : 2016

Abstract

The bovine lungworm, Dictyocaulus viviparus (order Strongylida), is an important parasite of livestock that causes substantial economic and production losses worldwide. Here we report the draft genome, variome, and developmental transcriptome of D. viviparus. The genome (161 Mb) is smaller than those of related bursate nematodes and encodes fewer proteins (14,171 total). In the first genome-wide assessment of genomic variation in any parasitic nematode, we found a high degree of sequence variability in proteins predicted to be involved host-parasite interactions. Next, we used extensive RNA sequence data to track gene transcription across the life cycle of D. viviparus, and identified genes ..

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University of Melbourne Researchers

Grants

Awarded by US National Institutes of Health (NIH)-National Human Genome Research Institute


Awarded by NIH/NIAID


Awarded by Agriculture and Food Research Initiative Competitive from the USDA National Institute of Food and Agriculture


Awarded by Victorian Life Sciences Computation Initiative (VLSCI)


Awarded by NATIONAL HUMAN GENOME RESEARCH INSTITUTE


Awarded by NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES


Funding Acknowledgements

This article is dedicated to the memory of Professor Thomas Schnieder. The genome sequencing and annotation work was funded by US National Institutes of Health (NIH)-National Human Genome Research Institute grant U54HG003079 to R.K.W. Comparative genome analysis was funded by NIH/NIAID grant AI081803 to M.M and by Agriculture and Food Research Initiative Competitive Grant no. (2013-67015-21230) from the USDA National Institute of Food and Agriculture. R.B.G's research was supported by the Australian Research Council (ARC), the National Health and Medical Research Council (NHMRC) of Australia, Alexander von Humboldt Foundation as well as 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. We thank the faculty and staff of The McDonnell Genome Institute at Washington University who contributed to this study.