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Deciphering the genetic control of fruit texture in apple by multiple family-based analysis and genome-wide association

Overview of attention for article published in Journal of Experimental Botany, February 2017
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Article details
Title
Deciphering the genetic control of fruit texture in apple by multiple family-based analysis and genome-wide association
Published in
Journal of Experimental Botany, February 2017
DOI 10.1093/jxb/erx017
Pubmed ID
Authors
Abstract

Fruit texture is a complex feature composed of mechanical and acoustic properties relying on the modifications occurring in the cell wall throughout fruit development and ripening. Apple is characterized by a large variation in fruit texture behavior that directly impacts both the consumer's appreciation and post-harvest performance. To decipher the genetic control of fruit texture comprehensively, two complementing quantitative trait locus (QTL) mapping approaches were employed. The first was represented by a pedigree-based analysis (PBA) carried out on six full-sib pedigreed families, while the second was a genome-wide association study (GWAS) performed on a collection of 233 apple accessions. Both plant materials were genotyped with a 20K single nucleotide polymorphism (SNP) array and phenotyped with a sophisticated high-resolution texture analyzer. The overall QTL results indicated the fundamental role of chromosome 10 in controlling the mechanical properties, while chromosomes 2 and 14 were more associated with the acoustic response. The latter QTL, moreover, showed a consistent relationship between the QTL-estimated genotypes and the acoustic performance assessed among seedlings. The in silico annotation of these intervals revealed interesting candidate genes potentially involved in fruit texture regulation, as suggested by the gene expression profile. The joint integration of these approaches sheds light on the specific control of fruit texture, enabling important genetic information to assist in the selection of valuable fruit quality apple varieties.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 69 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 12 17%
Researcher 12 17%
Student > Master 10 14%
Student > Doctoral Student 6 9%
Student > Bachelor 4 6%
Other 5 7%
Unknown 20 29%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 37 54%
Biochemistry, Genetics and Molecular Biology 9 13%
Nursing and Health Professions 1 1%
Economics, Econometrics and Finance 1 1%
Unknown 21 30%
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 26 March 2017.
All research outputs
#24,098,275
of 34,372,222 outputs
Outputs from Journal of Experimental Botany
#7,299
of 9,132 outputs
Outputs of similar age
#236,817
of 353,297 outputs
Outputs of similar age from Journal of Experimental Botany
#87
of 106 outputs
Altmetric has tracked 34,372,222 research outputs across all sources so far. This one is in the 28th percentile – i.e., 28% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,132 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one is in the 17th percentile – i.e., 17% 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 353,297 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 106 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.