| Title |
Suppressed recombination and unique candidate genes in the divergent haplotype encoding Fhb1, a major Fusarium head blight resistance locus in wheat
|
|---|---|
| Published in |
Theoretical and Applied Genetics, May 2016
|
| DOI | 10.1007/s00122-016-2727-x |
| Pubmed ID | |
| Authors |
W. Schweiger, B. Steiner, S. Vautrin, T. Nussbaumer, G. Siegwart, M. Zamini, F. Jungreithmeier, V. Gratl, M. Lemmens, K. F. X. Mayer, H. Bérgès, G. Adam, H. Buerstmayr |
| Abstract |
Fine mapping and sequencing revealed 28 genes in the non-recombining haplotype containing Fhb1 . Of these, only a GDSL lipase gene shows a pathogen-dependent expression pattern. Fhb1 is a prominent Fusarium head blight resistance locus of wheat, which has been successfully introgressed in adapted breeding material, where it confers a significant increase in overall resistance to the causal pathogen Fusarium graminearum and the fungal virulence factor and mycotoxin deoxynivalenol. The Fhb1 region has been resolved for the susceptible wheat reference genotype Chinese Spring, yet the causal gene itself has not been identified in resistant cultivars. Here, we report the establishment of a 1 Mb contig embracing Fhb1 in the donor line CM-82036. Sequencing revealed that the region of Fhb1 deviates from the Chinese Spring reference in DNA size and gene content, which explains the repressed recombination at the locus in the performed fine mapping. Differences in genes expression between near-isogenic lines segregating for Fhb1 challenged with F. graminearum or treated with mock were investigated in a time-course experiment by RNA sequencing. Several candidate genes were identified, including a pathogen-responsive GDSL lipase absent in susceptible lines. The sequence of the Fhb1 region, the resulting list of candidate genes, and near-diagnostic KASP markers for Fhb1 constitute a valuable resource for breeding and further studies aiming to identify the gene(s) responsible for F. graminearum and deoxynivalenol resistance. |
X Demographics
The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 3 | 18% |
| Australia | 2 | 12% |
| Uruguay | 1 | 6% |
| India | 1 | 6% |
| Germany | 1 | 6% |
| United Kingdom | 1 | 6% |
| China | 1 | 6% |
| Unknown | 7 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 71% |
| Scientists | 5 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | <1% |
| Czechia | 1 | <1% |
| Unknown | 106 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 26 | 24% |
| Student > Ph. D. Student | 23 | 21% |
| Student > Doctoral Student | 9 | 8% |
| Student > Master | 8 | 7% |
| Student > Bachelor | 7 | 6% |
| Other | 17 | 16% |
| Unknown | 18 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 70 | 65% |
| Biochemistry, Genetics and Molecular Biology | 11 | 10% |
| Engineering | 3 | 3% |
| Economics, Econometrics and Finance | 1 | <1% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | <1% |
| Other | 2 | 2% |
| Unknown | 20 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 16 January 2024.
All research outputs
#2,367,761
of 25,713,737 outputs
Outputs from Theoretical and Applied Genetics
#150
of 3,841 outputs
Outputs of similar age
#38,131
of 327,143 outputs
Outputs of similar age from Theoretical and Applied Genetics
#3
of 37 outputs
Altmetric has tracked 25,713,737 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,841 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 96% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 327,143 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.