| Title |
Massive analysis of cDNA ends (MACE) reveals a co-segregating candidate gene for LpPg1 stem rust resistance in perennial ryegrass (Lolium perenne)
|
|---|---|
| Published in |
Theoretical and Applied Genetics, July 2016
|
| DOI | 10.1007/s00122-016-2749-4 |
| Pubmed ID | |
| Authors |
Jens Bojahr, Ottilia Nhengiwa, Nicolas Krezdorn, Björn Rotter, Bernhard Saal, Brigitte Ruge-Wehling, Christine Struck, Peter Winter |
| Abstract |
Molecular markers including a potential resistance gene co-segregating with the LpPg1 stem rust resistance locus in perennial ryegrass were identified by massive analysis of cDNA ends (MACE) transcriptome profiling. Stem rust caused by Puccinia graminis subsp. graminicola is a severe fungal disease in the forage crop perennial ryegrass and other grasses. The previously identified LpPg1 locus confers efficient resistance against the pathogen. The aim of this study was to identify candidate genes involved in rust resistance and to use them as a resource for the development of molecular markers for LpPg1. To identify such candidates, bulked segregant analysis was combined with NGS-based massive analysis of cDNA ends (MACE) transcriptome profiling. Total RNA was isolated from bulks of infected and non-infected leaf segments from susceptible and resistant genotypes of a full-sibling mapping population and their respective parental lines and MACE was performed. Bioinformatic analysis detected 330 resistance-specific SNPs in 178 transcripts and 341 transcripts that were exclusively expressed in the resistant bulk. The sequences of many of these transcripts were homologous to genes in distinct regions of chromosomes one and four of the model grass Brachypodium distachyon. Of these, 30 were genetically mapped to a 50.8 cM spanning region surrounding the LpPg1 locus. One candidate NBS-LRR gene co-segregated with the resistance locus. Quantitative analysis of gene expression suggests that LpPg1 mediates an efficient resistance mechanism characterized by early recognition of the pathogen, fast defense signaling and rapid induction of antifungal proteins. We demonstrate here that MACE is a cost-efficient, fast and reliable tool that detects polymorphisms for genetic mapping of candidate resistance genes and simultaneously reveals deep insight into the molecular and genetic base of resistance. |
X Demographics
The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 19% |
| United Kingdom | 3 | 19% |
| France | 1 | 6% |
| Switzerland | 1 | 6% |
| Australia | 1 | 6% |
| Unknown | 7 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 63% |
| Scientists | 6 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 23% |
| Student > Ph. D. Student | 5 | 17% |
| Student > Master | 4 | 13% |
| Student > Bachelor | 3 | 10% |
| Professor | 2 | 7% |
| Other | 2 | 7% |
| Unknown | 7 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 16 | 53% |
| Biochemistry, Genetics and Molecular Biology | 4 | 13% |
| Environmental Science | 1 | 3% |
| Computer Science | 1 | 3% |
| Medicine and Dentistry | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 7 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 12 November 2016.
All research outputs
#4,166,588
of 25,371,288 outputs
Outputs from Theoretical and Applied Genetics
#549
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Outputs of similar age
#70,614
of 377,256 outputs
Outputs of similar age from Theoretical and Applied Genetics
#15
of 45 outputs
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