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Transcriptome profiling of grapevine seedless segregants during berry development reveals candidate genes associated with berry weight

Overview of attention for article published in BMC Plant Biology, April 2016
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  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

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Title
Transcriptome profiling of grapevine seedless segregants during berry development reveals candidate genes associated with berry weight
Published in
BMC Plant Biology, April 2016
DOI 10.1186/s12870-016-0789-1
Pubmed ID
Authors

Claudia Muñoz-Espinoza, Alex Di Genova, José Correa, Romina Silva, Alejandro Maass, Mauricio González-Agüero, Ariel Orellana, Patricio Hinrichsen

Abstract

Berry size is considered as one of the main selection criteria in table grape breeding programs. However, this is a quantitative and polygenic trait, and its genetic determination is still poorly understood. Considering its economic importance, it is relevant to determine its genetic architecture and elucidate the mechanisms involved in its expression. To approach this issue, an RNA-Seq experiment based on Illumina platform was performed (14 libraries), including seedless segregants with contrasting phenotypes for berry weight at fruit setting (FST) and 6-8 mm berries (B68) phenological stages. A group of 526 differentially expressed (DE) genes were identified, by comparing seedless segregants with contrasting phenotypes for berry weight: 101 genes from the FST stage and 463 from the B68 stage. Also, we integrated differential expression, principal components analysis (PCA), correlations and network co-expression analyses to characterize the transcriptome profiling observed in segregants with contrasting phenotypes for berry weight. After this, 68 DE genes were selected as candidate genes, and seven candidate genes were validated by real time-PCR, confirming their expression profiles. We have carried out the first transcriptome analysis focused on table grape seedless segregants with contrasting phenotypes for berry weight. Our findings contributed to the understanding of the mechanisms involved in berry weight determination. Also, this comparative transcriptome profiling revealed candidate genes for berry weight which could be evaluated as selection tools in table grape breeding programs.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
France 1 2%
Unknown 63 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 26%
Researcher 10 15%
Student > Bachelor 7 11%
Student > Master 7 11%
Student > Doctoral Student 5 8%
Other 10 15%
Unknown 9 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 41 63%
Biochemistry, Genetics and Molecular Biology 9 14%
Engineering 2 3%
Nursing and Health Professions 1 2%
Arts and Humanities 1 2%
Other 2 3%
Unknown 9 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 30 April 2016.
All research outputs
#13,773,992
of 22,865,319 outputs
Outputs from BMC Plant Biology
#1,055
of 3,260 outputs
Outputs of similar age
#151,313
of 298,924 outputs
Outputs of similar age from BMC Plant Biology
#24
of 58 outputs
Altmetric has tracked 22,865,319 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% 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 has gotten more attention than average, scoring higher than 66% of its peers.
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 298,924 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.