| Title |
Integrated Metabolo-Proteomic Approach to Decipher the Mechanisms by Which Wheat QTL (Fhb1) Contributes to Resistance against Fusarium graminearum
|
|---|---|
| Published in |
PLOS ONE, July 2012
|
| DOI | 10.1371/journal.pone.0040695 |
| Pubmed ID | |
| Authors |
Raghavendra Gunnaiah, Ajjamada C. Kushalappa, Raj Duggavathi, Stephen Fox, Daryl J. Somers |
| Abstract |
Resistance in plants to pathogen attack can be qualitative or quantitative. For the latter, hundreds of quantitative trait loci (QTLs) have been identified, but the mechanisms of resistance are largely unknown. Integrated non-target metabolomics and proteomics, using high resolution hybrid mass spectrometry, were applied to identify the mechanisms of resistance governed by the fusarium head blight resistance locus, Fhb1, in the near isogenic lines derived from wheat genotype Nyubai. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 230 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | <1% |
| France | 1 | <1% |
| Australia | 1 | <1% |
| Sweden | 1 | <1% |
| South Africa | 1 | <1% |
| India | 1 | <1% |
| Belgium | 1 | <1% |
| Russia | 1 | <1% |
| Japan | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 219 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 60 | 26% |
| Researcher | 54 | 23% |
| Student > Master | 30 | 13% |
| Student > Postgraduate | 13 | 6% |
| Student > Doctoral Student | 11 | 5% |
| Other | 33 | 14% |
| Unknown | 29 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 141 | 61% |
| Biochemistry, Genetics and Molecular Biology | 28 | 12% |
| Chemistry | 11 | 5% |
| Environmental Science | 3 | 1% |
| Chemical Engineering | 2 | <1% |
| Other | 6 | 3% |
| Unknown | 39 | 17% |