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Genetic diversity, linkage disequilibrium and power of a large grapevine (Vitis vinifera L) diversity panel newly designed for association studies

Overview of attention for article published in BMC Plant Biology, March 2016
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Title
Genetic diversity, linkage disequilibrium and power of a large grapevine (Vitis vinifera L) diversity panel newly designed for association studies
Published in
BMC Plant Biology, March 2016
DOI 10.1186/s12870-016-0754-z
Pubmed ID
Authors

Stéphane D. Nicolas, Jean-Pierre Péros, Thierry Lacombe, Amandine Launay, Marie-Christine Le Paslier, Aurélie Bérard, Brigitte Mangin, Sophie Valière, Frédéric Martins, Loïc Le Cunff, Valérie Laucou, Roberto Bacilieri, Alexis Dereeper, Philippe Chatelet, Patrice This, Agnès Doligez

Abstract

As for many crops, new high-quality grapevine varieties requiring less pesticide and adapted to climate change are needed. In perennial species, breeding is a long process which can be speeded up by gaining knowledge about quantitative trait loci linked to agronomic traits variation. However, due to the long juvenile period of these species, establishing numerous highly recombinant populations for high resolution mapping is both costly and time-consuming. Genome wide association studies in germplasm panels is an alternative method of choice, since it allows identifying the main quantitative trait loci with high resolution by exploiting past recombination events between cultivars. Such studies require adequate panel design to represent most of the available genetic and phenotypic diversity. Assessing linkage disequilibrium extent and panel power is also needed to determine the marker density required for association studies. Starting from the largest grapevine collection worldwide maintained in Vassal (France), we designed a diversity panel of 279 cultivars with limited relatedness, reflecting the low structuration in three genetic pools resulting from different uses (table vs wine) and geographical origin (East vs West), and including the major founders of modern cultivars. With 20 simple sequence repeat markers and five quantitative traits, we showed that our panel adequately captured most of the genetic and phenotypic diversity existing within the entire Vassal collection. To assess linkage disequilibrium extent and panel power, we genotyped single nucleotide polymorphisms: 372 over four genomic regions and 129 distributed over the whole genome. Linkage disequilibrium, measured by correlation corrected for kinship, reached 0.2 for a physical distance between 9 and 458 Kb depending on genetic pool and genomic region, with varying size of linkage disequilibrium blocks. This panel achieved reasonable power to detect associations between traits with high broad-sense heritability (> 0.7) and causal loci with intermediate allelic frequency and strong effect (explaining > 10 % of total variance). Our association panel constitutes a new, highly valuable resource for genetic association studies in grapevine, and deserves dissemination to diverse field and greenhouse trials to gain more insight into the genetic control of many agronomic traits and their interaction with the environment.

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Mendeley readers

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The data shown below were compiled from readership statistics for 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Netherlands 1 <1%
France 1 <1%
Nigeria 1 <1%
Spain 1 <1%
Unknown 127 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 28 21%
Student > Ph. D. Student 25 19%
Student > Master 20 15%
Professor > Associate Professor 8 6%
Student > Bachelor 7 5%
Other 24 18%
Unknown 20 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 78 59%
Biochemistry, Genetics and Molecular Biology 14 11%
Social Sciences 3 2%
Engineering 3 2%
Chemistry 3 2%
Other 3 2%
Unknown 28 21%
Attention Score in Context

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 14 April 2016.
All research outputs
#15,368,104
of 22,862,742 outputs
Outputs from BMC Plant Biology
#1,489
of 3,260 outputs
Outputs of similar age
#180,001
of 300,148 outputs
Outputs of similar age from BMC Plant Biology
#30
of 54 outputs
Altmetric has tracked 22,862,742 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,260 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 41st percentile – i.e., 41% 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 300,148 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.