Evidence map›Paper›PMID 39789463›Full record

ArticleBMC plant biology2025

Unraveling the genetic architecture of blueberry fruit quality traits: major loci control organic acid content while more complex genetic mechanisms control texture and sugar content.

Heeduk Oh, Molla F Mengist, Guoying Ma, Lara Giongo, Marti Pottorff, Jessica A Spencer, Penelope Perkins-Veazie, Massimo Iorizzo

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Article in BMC plant biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.

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0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Heeduk OhPlants for Human Health Institute, North Carolina State University, Kannapolis, NC, 28081, USA.
Molla F MengistPlants for Human Health Institute, North Carolina State University, Kannapolis, NC, 28081, USA.
Guoying MaPlants for Human Health Institute, North Carolina State University, Kannapolis, NC, 28081, USA.
Lara GiongoFondazione Edmund Mach, Research and Innovation Centre, San Michele a/A, Trento, Italy.
Marti PottorffPlants for Human Health Institute, North Carolina State University, Kannapolis, NC, 28081, USA.
Jessica A SpencerDepartment of Horticulture, North Carolina State University, Raleigh, NC, 27607, USA.
Penelope Perkins-VeaziePlants for Human Health Institute, North Carolina State University, Kannapolis, NC, 28081, USA. penelope_perkins@ncsu.edu.
Massimo IorizzoPlants for Human Health Institute, North Carolina State University, Kannapolis, NC, 28081, USA. miorizz@ncsu.edu.

Funding

National Institute of Food and Agriculture 2019-51181-30015
6 · The paper itself

Abstract

backgroundFruit quality traits, including taste, flavor, texture, and shelf-life, have emerged as important breeding priorities in blueberry (Vaccinium corymbosum). Organic acids and sugars play crucial roles in the perception of blueberry taste/flavor, where low and high consumer liking are correlated with high organic acids and high sugars, respectively. Blueberry texture and appearance are also critical for shelf-life quality and consumers' willingness-to-pay. As the genetic mechanisms that determine these fruit quality traits remain largely unknown, in this study, an F

resultsTwenty-eight QTLs were detected for acidity-related parameters (pH, TA, and organic acid content). Six QTLs for pH, TA, and citric acid, two for quinic acid, and two for shikimic acid with major effects were consistently detected across two years on the same genomic regions on chromosomes 3, 4, and 5, respectively. Putative candidate genes for these QTLs were also identified using comparative transcriptomic analysis. No QTL was detected for malic acid content, TSS, or individual sugar content. A total of 146 QTLs with minor effects were identified for texture- and size-related parameters. With a few exceptions, these QTLs were generally inconsistent over years and post-storage, indicating a highly quantitative nature.

conclusionsOur findings enhance the understanding of the genetic basis underlying fruit quality traits in blueberry and guide future work to exploit DNA-informed selection strategies in blueberry breeding programs. The major-effect QTLs identified for acidity-related fruit characteristics could be potential targets to develop DNA markers for marker-assisted selection (MAS). On the other hand, genomic selection may be a more suitable approach than MAS when targeting fruit texture, sugars, or size.

Indexed as

Blueberry PlantsFruitQuantitative Trait LociSugarsChromosome MappingPhenotypeSugarsBlueberryCandidate genesFruit qualityOrganic acidQTLTextureVaccinium corymbosum

Identifiers

PMID39789463
PMCPMC11721283

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.