Title |
Molecular markers for tolerance of European ash (Fraxinus excelsior) to dieback disease identified using Associative Transcriptomics
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Published in |
Scientific Reports, January 2016
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DOI | 10.1038/srep19335 |
Pubmed ID | |
Authors |
Andrea L. Harper, Lea Vig McKinney, Lene Rostgaard Nielsen, Lenka Havlickova, Yi Li, Martin Trick, Fiona Fraser, Lihong Wang, Alison Fellgett, Elizabeth S. A. Sollars, Sophie H. Janacek, J. Allan Downie, Richard. J. A. Buggs, Erik Dahl Kjær, Ian Bancroft |
Abstract |
Tree disease epidemics are a global problem, impacting food security, biodiversity and national economies. The potential for conservation and breeding in trees is hampered by complex genomes and long lifecycles, with most species lacking genomic resources. The European Ash tree Fraxinus excelsior is being devastated by the fungal pathogen Hymenoscyphus fraxineus, which causes ash dieback disease. Taking this system as an example and utilizing Associative Transcriptomics for the first time in a plant pathology study, we discovered gene sequence and gene expression variants across a genetic diversity panel scored for disease symptoms and identified markers strongly associated with canopy damage in infected trees. Using these markers we predicted phenotypes in a test panel of unrelated trees, successfully identifying individuals with a low level of susceptibility to the disease. Co-expression analysis suggested that pre-priming of defence responses may underlie reduced susceptibility to ash dieback. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 11 | 39% |
France | 3 | 11% |
Sweden | 1 | 4% |
United States | 1 | 4% |
Australia | 1 | 4% |
Unknown | 11 | 39% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 13 | 46% |
Scientists | 11 | 39% |
Science communicators (journalists, bloggers, editors) | 3 | 11% |
Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | <1% |
Chile | 1 | <1% |
Sweden | 1 | <1% |
United Kingdom | 1 | <1% |
United States | 1 | <1% |
Unknown | 173 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 42 | 24% |
Student > Ph. D. Student | 25 | 14% |
Student > Bachelor | 25 | 14% |
Student > Master | 17 | 10% |
Professor > Associate Professor | 9 | 5% |
Other | 26 | 15% |
Unknown | 34 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 87 | 49% |
Biochemistry, Genetics and Molecular Biology | 23 | 13% |
Environmental Science | 16 | 9% |
Engineering | 3 | 2% |
Social Sciences | 2 | 1% |
Other | 6 | 3% |
Unknown | 41 | 23% |