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Identification of stable QTLs for vegetative and reproductive traits in the microvine (Vitis vinifera L.) using the 18 K Infinium chip

Overview of attention for article published in BMC Plant Biology, August 2015
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Title
Identification of stable QTLs for vegetative and reproductive traits in the microvine (Vitis vinifera L.) using the 18 K Infinium chip
Published in
BMC Plant Biology, August 2015
DOI 10.1186/s12870-015-0588-0
Pubmed ID
Authors

Cléa Houel, Ratthaphon Chatbanyong, Agnès Doligez, Markus Rienth, Serena Foria, Nathalie Luchaire, Catherine Roux, Angélique Adivèze, Gilbert Lopez, Marc Farnos, Anne Pellegrino, Patrice This, Charles Romieu, Laurent Torregrosa

Abstract

The increasing temperature associated with climate change impacts grapevine phenology and development with critical effects on grape yield and composition. Plant breeding has the potential to deliver new cultivars with stable yield and quality under warmer climate conditions, but this requires the identification of stable genetic determinants. This study tested the potentialities of the microvine to boost genetics in grapevine. A mapping population of 129 microvines derived from Picovine x Ugni Blanc flb, was genotyped with the Illumina® 18 K SNP (Single Nucleotide Polymorphism) chip. Forty-three vegetative and reproductive traits were phenotyped outdoors over four cropping cycles, and a subset of 22 traits over two cropping cycles in growth rooms with two contrasted temperatures, in order to map stable QTLs (Quantitative Trait Loci). Ten stable QTLs for berry development and quality or leaf area were identified on the parental maps. A new major QTL explaining up to 44 % of total variance of berry weight was identified on chromosome 7 in Ugni Blanc flb, and co-localized with QTLs for seed number (up to 76 % total variance), major berry acids at green lag phase (up to 35 %), and other yield components (up to 25 %). In addition, a minor QTL for leaf area was found on chromosome 4 of the same parent. In contrast, only minor QTLs for berry acidity and leaf area could be found as moderately stable in Picovine. None of the transporters recently identified as mutated in low acidity apples or Cucurbits were included in the several hundreds of candidate genes underlying the above berry QTLs, which could be reduced to a few dozen candidate genes when a priori pertinent biological functions and organ specific expression were considered. This study combining the use of microvine and a high throughput genotyping technology was innovative for grapevine genetics. It allowed the identification of 10 stable QTLs, including the first berry acidity QTLs reported so far in a Vitis vinifera intra-specific cross. Robustness of a set of QTLs was assessed with respect to temperature variation.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 <1%
New Zealand 1 <1%
France 1 <1%
Unknown 100 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 19%
Student > Ph. D. Student 17 17%
Student > Master 9 9%
Student > Bachelor 7 7%
Student > Doctoral Student 6 6%
Other 11 11%
Unknown 33 32%
Readers by discipline Count As %
Agricultural and Biological Sciences 57 55%
Biochemistry, Genetics and Molecular Biology 5 5%
Nursing and Health Professions 2 2%
Social Sciences 2 2%
Psychology 1 <1%
Other 1 <1%
Unknown 35 34%
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 07 April 2016.
All research outputs
#18,450,346
of 22,860,626 outputs
Outputs from BMC Plant Biology
#2,105
of 3,258 outputs
Outputs of similar age
#191,890
of 266,230 outputs
Outputs of similar age from BMC Plant Biology
#42
of 56 outputs
Altmetric has tracked 22,860,626 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 3,258 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 22nd percentile – i.e., 22% of its peers scored the same or lower than it.
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