| Title |
Novel sources of resistance to Septoria nodorum blotch in the Vavilov wheat collection identified by genome-wide association studies
|
|---|---|
| Published in |
Theoretical and Applied Genetics, February 2018
|
| DOI | 10.1007/s00122-018-3073-y |
| Pubmed ID | |
| Authors |
Huyen T. T. Phan, Kasia Rybak, Stefania Bertazzoni, Eiko Furuki, Eric Dinglasan, Lee T. Hickey, Richard P. Oliver, Kar-Chun Tan |
| Abstract |
The fungus Parastagonospora nodorum causes Septoria nodorum blotch (SNB) of wheat. A genetically diverse wheat panel was used to dissect the complexity of SNB and identify novel sources of resistance. The fungus Parastagonospora nodorum is the causal agent of Septoria nodorum blotch (SNB) of wheat. The pathosystem is mediated by multiple fungal necrotrophic effector-host sensitivity gene interactions that include SnToxA-Tsn1, SnTox1-Snn1, and SnTox3-Snn3. A P. nodorum strain lacking SnToxA, SnTox1, and SnTox3 (toxa13) retained wild-type-like ability to infect some modern wheat cultivars, suggesting evidence of other effector-mediated susceptibility gene interactions or the lack of host resistance genes. To identify genomic regions harbouring such loci, we examined a panel of 295 historic wheat accessions from the N. I. Vavilov Institute of Plant Genetic Resources in Russia, which is comprised of genetically diverse landraces and breeding lines registered from 1920 to 1990. The wheat panel was subjected to effector bioassays, infection with P. nodorum wild type (SN15) and toxa13. In general, SN15 was more virulent than toxa13. Insensitivity to all three effectors contributed significantly to resistance against SN15, but not toxa13. Genome-wide association studies using phenotypes from SN15 infection detected quantitative trait loci (QTL) on chromosomes 1BS (Snn1), 2DS, 5AS, 5BS (Snn3), 3AL, 4AL, 4BS, and 7AS. For toxa13 infection, a QTL was detected on 5AS (similar to SN15), plus two additional QTL on 2DL and 7DL. Analysis of resistance phenotypes indicated that plant breeders may have inadvertently selected for effector insensitivity from 1940 onwards. We identify accessions that can be used to develop bi-parental mapping populations to characterise resistance-associated alleles for subsequent introgression into modern bread wheat to minimise the impact of SNB. |
X Demographics
The data shown below were collected from the profiles of 34 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 8 | 24% |
| United Kingdom | 2 | 6% |
| Switzerland | 2 | 6% |
| Turkey | 2 | 6% |
| Netherlands | 2 | 6% |
| Comoros | 1 | 3% |
| Denmark | 1 | 3% |
| India | 1 | 3% |
| Germany | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 14 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 25 | 74% |
| Scientists | 8 | 24% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 22% |
| Student > Bachelor | 4 | 11% |
| Researcher | 4 | 11% |
| Student > Doctoral Student | 3 | 8% |
| Student > Postgraduate | 2 | 5% |
| Other | 6 | 16% |
| Unknown | 10 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 24 | 65% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Nursing and Health Professions | 1 | 3% |
| Chemistry | 1 | 3% |
| Unknown | 10 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 September 2018.
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#1,663,904
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Outputs from Theoretical and Applied Genetics
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Outputs of similar age
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Outputs of similar age from Theoretical and Applied Genetics
#4
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