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Mendeley readers
Attention Score in Context
| Title |
Genome-wide association mapping of partial resistance to Aphanomyces euteiches in pea
|
|---|---|
| Published in |
BMC Genomics, February 2016
|
| DOI | 10.1186/s12864-016-2429-4 |
| Pubmed ID | |
| Authors |
Aurore Desgroux, Virginie L’Anthoëne, Martine Roux-Duparque, Jean-Philippe Rivière, Grégoire Aubert, Nadim Tayeh, Anne Moussart, Pierre Mangin, Pierrick Vetel, Christophe Piriou, Rebecca J. McGee, Clarice J. Coyne, Judith Burstin, Alain Baranger, Maria Manzanares-Dauleux, Virginie Bourion, Marie-Laure Pilet-Nayel |
| Abstract |
Genome-wide association (GWA) mapping has recently emerged as a valuable approach for refining the genetic basis of polygenic resistance to plant diseases, which are increasingly used in integrated strategies for durable crop protection. Aphanomyces euteiches is a soil-borne pathogen of pea and other legumes worldwide, which causes yield-damaging root rot. Linkage mapping studies reported quantitative trait loci (QTL) controlling resistance to A. euteiches in pea. However the confidence intervals (CIs) of these QTL remained large and were often linked to undesirable alleles, which limited their application in breeding. The aim of this study was to use a GWA approach to validate and refine CIs of the previously reported Aphanomyces resistance QTL, as well as identify new resistance loci. A pea-Aphanomyces collection of 175 pea lines, enriched in germplasm derived from previously studied resistant sources, was evaluated for resistance to A. euteiches in field infested nurseries in nine environments and with two strains in climatic chambers. The collection was genotyped using 13,204 SNPs from the recently developed GenoPea Infinium® BeadChip. GWA analysis detected a total of 52 QTL of small size-intervals associated with resistance to A. euteiches, using the recently developed Multi-Locus Mixed Model. The analysis validated six of the seven previously reported main Aphanomyces resistance QTL and detected novel resistance loci. It also provided marker haplotypes at 14 consistent QTL regions associated with increased resistance and highlighted accumulation of favourable haplotypes in the most resistant lines. Previous linkages between resistance alleles and undesired late-flowering alleles for dry pea breeding were mostly confirmed, but the linkage between loci controlling resistance and coloured flowers was broken due to the high resolution of the analysis. A high proportion of the putative candidate genes underlying resistance loci encoded stress-related proteins and others suggested that the QTL are involved in diverse functions. This study provides valuable markers, marker haplotypes and germplasm lines to increase levels of partial resistance to A. euteiches in pea breeding. |
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 % |
|---|---|---|
| United Kingdom | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 2% |
| China | 1 | 1% |
| Argentina | 1 | 1% |
| Unknown | 92 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 23 | 24% |
| Student > Ph. D. Student | 16 | 17% |
| Student > Master | 10 | 10% |
| Other | 7 | 7% |
| Student > Doctoral Student | 5 | 5% |
| Other | 9 | 9% |
| Unknown | 26 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 58 | 60% |
| Biochemistry, Genetics and Molecular Biology | 7 | 7% |
| Unspecified | 1 | 1% |
| Sports and Recreations | 1 | 1% |
| Neuroscience | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 27 | 28% |
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 23 February 2016.
All research outputs
#17,789,675
of 22,851,489 outputs
Outputs from BMC Genomics
#7,570
of 10,658 outputs
Outputs of similar age
#202,510
of 297,882 outputs
Outputs of similar age from BMC Genomics
#199
of 243 outputs
Altmetric has tracked 22,851,489 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,658 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 23rd percentile – i.e., 23% of its peers scored the same or lower than it.
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We're also able to compare this research output to 243 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.