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Integrative genomics approaches validate PpYUC11-like as candidate gene for the stony hard trait in peach (P. persica L. Batsch)

Overview of attention for article published in BMC Plant Biology, May 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

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Title
Integrative genomics approaches validate PpYUC11-like as candidate gene for the stony hard trait in peach (P. persica L. Batsch)
Published in
BMC Plant Biology, May 2018
DOI 10.1186/s12870-018-1293-6
Pubmed ID
Authors

Marco Cirilli, Daniela Giovannini, Angelo Ciacciulli, Remo Chiozzotto, Stefano Gattolin, Laura Rossini, Alessandro Liverani, Daniele Bassi

Abstract

Texture is one of the most important fruit quality attributes. In peach, stony hard (SH) is a recessive monogenic trait (hd/hd) that confers exceptionally prolonged firm flesh to fully ripe fruit. Previous studies have shown that the SH mutation affects the fruit ability to synthesize appropriate amounts of indol-3-acetic acid (IAA), which orchestrates the ripening processes through the activation of system 2 ethylene pathway. Allelic variation in a TC microsatellite located within the first intron of PpYUC11-like (a YUCCA-like auxin-biosynthesis gene) has been recently proposed as the causal mutation of the SH phenotype. The simple genetic determinism of the SH trait has been clarified through genome-wide association and LD analyses in a diverse set of accessions, restricting the hd locus to an interval of about 1.8 Mbp in chromosome 6. The comparison of fruit transcriptome data from non-SH (melting flesh) and SH accessions provided an expression patterns overview of the annotated transcripts within the hd locus, confirming the absence of PpYUC11-like expression in SH fruits. To explore further possible associations between genomic variants at the hd locus and the SH phenotype, re-sequencing data of the SH accession 'D41-62' were compared with several SH and non-SH accessions with different genetic backgrounds. A further step of validation was provided through the evaluation of variant-trait association in two bi-parental F2 populations issued from the SH accession 'D41-62' and a panel of advanced breeding selections, showing perfect co-segregation of the PpYUC11-like intron TC20 allele and the SH phenotype. In this study, we provide a multi-level validation of the genetic control of the SH trait through the integration of genome-wide association mapping, transcriptome analysis and whole-genome resequencing data for SH and non-SH accessions, and marker-trait association in a panel of advanced breeding selections and segregating progenies. Collectively, our data confirm with high confidence the role of allelic variation at PpYUC11-like locus as the genetic determinant of the SH trait, opening interesting perspectives at both biological and applied research level.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 16%
Student > Ph. D. Student 4 13%
Student > Master 4 13%
Student > Postgraduate 3 9%
Professor > Associate Professor 3 9%
Other 2 6%
Unknown 11 34%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 41%
Biochemistry, Genetics and Molecular Biology 3 9%
Environmental Science 2 6%
Business, Management and Accounting 2 6%
Psychology 1 3%
Other 0 0%
Unknown 11 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 21 May 2018.
All research outputs
#4,793,379
of 25,715,849 outputs
Outputs from BMC Plant Biology
#320
of 3,616 outputs
Outputs of similar age
#85,082
of 344,539 outputs
Outputs of similar age from BMC Plant Biology
#7
of 59 outputs
Altmetric has tracked 25,715,849 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,616 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done particularly well, scoring higher than 91% 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 344,539 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.