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Open AccessJournal ArticleDOI

Genome-wide association of volatiles reveals candidate loci for blueberry flavor

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TLDR
To develop molecular breeding tools aimed at improving fruit flavor, a target genotyping and VOC extraction of a blueberry population was carried out and it was demonstrated that VOCs can be accurately predicted using genomic information and enhance or decrease consumer's overall liking.
Abstract
Plants produce a range of volatile organic compounds (VOCs), some of which are perceived by the human olfactory system, contributing to a myriad flavors. Despite the importance of flavor for consumer preference, most plant breeding programs have neglected it, mainly because of the costs of phenotyping and the complexity of disentangling the role of VOCs in human perception. To develop molecular breeding tools aimed at improving fruit flavor, we carried out target genotyping of and VOC extraction from a blueberry population. Metabolite genome-wide association analysis was used to elucidate the genetic architecture, while predictive models were tested to prove that VOCs can be accurately predicted using genomic information. A historical sensory panel was considered to assess how the volatiles influenced consumers. By gathering genomics, metabolomics, and the sensory panel, we demonstrated that VOCs are controlled by a few major genomic regions, some of which harbor biosynthetic enzyme-coding genes; can be accurately predicted using molecular markers; and can enhance or decrease consumers' overall liking. Here we emphasized how the understanding of the genetic basis and the role of VOCs in consumer preference can assist breeders in developing more flavorful cultivars at a more inexpensive and accelerated pace.

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Journal ArticleDOI

Can gene editing reduce postharvest waste and loss of fruit, vegetables, and ornamentals?

TL;DR: In this article, a review of the literature on gene editing for postharvest is presented, and the authors conclude that in spite of the hurdles that remain, gene editing of produce and ornamentals will likely have a measurable impact on reducing post-harvest loss and waste in the next 5-10 years.
Journal ArticleDOI

Metabolomic selection for enhanced fruit flavor

TL;DR: In this paper , the authors leveraged targeted metabolomics of diverse tomato and blueberry accessions and their corresponding consumer panel ratings to create statistical and machine learning models that can predict sensory perceptions of fruit flavor.
Posted ContentDOI

Metabolomic Selection for Enhanced Fruit Flavor

TL;DR: Targeted metabolomics of diverse tomato and blueberry accessions and their corresponding consumer panel ratings are leveraged to create statistical and machine learning models that can predict sensory perceptions of fruit flavor that will enable an earlier incorporation of flavor as breeding targets and encourage selection and release of more flavorful fruit varieties.
Journal ArticleDOI

A Review of the Fruit Volatiles Found in Blueberry and Other Vaccinium Species

TL;DR: This review summarizes the published research available on this topic, examining prior work done to characterize the volatile profiles of blueberries, cranberries, bilberries, lingonberries, whortleberries and other Vaccinium berries.
Journal ArticleDOI

Advances in Genomic, Transcriptomic, and Metabolomic Analyses of Fruit Quality in Fruit Crops

TL;DR: The genomic mechanisms of fruit quality formation are summarized: gene duplication, transposable element insertion, structural variations and genome methylation in functional genes, and some of the genes associated with fruit traits are described.
References
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Journal ArticleDOI

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TL;DR: Burrows-Wheeler Alignment tool (BWA) is implemented, a new read alignment package that is based on backward search with Burrows–Wheeler Transform (BWT), to efficiently align short sequencing reads against a large reference sequence such as the human genome, allowing mismatches and gaps.
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Trimmomatic: a flexible trimmer for Illumina sequence data

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The variant call format and VCFtools

TL;DR: VCFtools is a software suite that implements various utilities for processing VCF files, including validation, merging, comparing and also provides a general Perl API.
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Prediction of Total Genetic Value Using Genome-Wide Dense Marker Maps

TL;DR: It was concluded that selection on genetic values predicted from markers could substantially increase the rate of genetic gain in animals and plants, especially if combined with reproductive techniques to shorten the generation interval.
Journal ArticleDOI

BiNGO : a Cytoscape plugin to assess overrepresentation of Gene Ontology categories in Biological Networks

TL;DR: The Biological Networks Gene Ontology tool (BiNGO) is an open-source Java tool to determine whichGene Ontology terms are significantly overrepresented in a set of genes.
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