| Title |
Fine mapping of powdery mildew resistance gene Pm4e in bread wheat (Triticum aestivum L.)
|
|---|---|
| Published in |
Planta, August 2018
|
| DOI | 10.1007/s00425-018-2990-y |
| Pubmed ID | |
| Authors |
Khan Nasr Ullah, Na Li, Tao Shen, Peisi Wang, Wenbin Tang, Shengwei Ma, Zhimeng Zhang, Haiyan Jia, Zhongxin Kong, Zhengqiang Ma |
| Abstract |
Fine mapping of wheat powdery mildew-resistance gene Pm4e to a 0.19 cm interval with sequence-based markers provides the foundation for map-based cloning and marker-assisted selection with breeder-friendly markers. Powdery mildew caused by Blumeria graminis f. sp. tritici is a wheat foliar disease that poses a serious threat to global wheat production. Pm4 is a resistance gene locus that has played a key role in controlling this disease in wheat production and a few resistance alleles of this locus have been identified. We have previously mapped the Pm4e allele to a 6.7 cm interval on chromosome 2AL. In this study, Pm4e was delimited to a 0.19 cm interval flanked by Xwgrc763 and Xwgrc865, through employment of a larger segregating population, derived from the cross of resistant parent D29 with susceptible parent Yangmai 158 (Y158), and enrichment of the genetic interval with markers developed on Chinese Spring (C.S.) survey sequence. In this interval, Pm4e co-segregated with a few markers, some of which were either D29-dominant or Y158-dominant, implying great sequence variation in the interval between D29 and Y158. Most of these co-segregation markers could not differentiate the Pm4 alleles from each other. Survey of 55 wheat cultivars with four co-dominant markers showed that the Pm4e-co-segregating loci always co-exist. Annotation of the Pm4e interval-corresponding C.S. sequence revealed more than a dozen resistance gene analogs clustered in a 2.4 Mb region, although C.S. is susceptible to the Pm4e-avirulent isolate Bgt2. This study has established the foundation for map-based cloning of Pm4e. Moreover, some of the co-dominant markers developed in this study could help in marker-assisted transfer of Pm4e into elite cultivars. |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 2 | 22% |
| Student > Bachelor | 1 | 11% |
| Student > Doctoral Student | 1 | 11% |
| Student > Master | 1 | 11% |
| Unknown | 4 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 4 | 44% |
| Business, Management and Accounting | 1 | 11% |
| Unknown | 4 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 22 August 2018.
All research outputs
#18,647,094
of 23,100,534 outputs
Outputs from Planta
#2,167
of 2,742 outputs
Outputs of similar age
#256,383
of 333,688 outputs
Outputs of similar age from Planta
#27
of 46 outputs
Altmetric has tracked 23,100,534 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,742 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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 333,688 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.