Evidence map›Paper›PMID 42855862›Full record

ArticleThe plant genome2026

Genetic control underlying dynamics of blueberry bioactive compounds during postharvest can drive breeding for functional fruits.

Estefania Tavares Flores, Gonzalo Casorzo, Paul Adunola, Renee Strauch, Mary Grace, Mary Ann Lila, Camila F Azevedo, Luis Felipe Ferrão, Patricio R Munoz

Abstract read
In one paragraph

Article in The plant genome, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Estefania Tavares FloresBlueberry Breeding & Genomics Lab, IFAS, Gainesville, Florida, USA.ORCID https://orcid.org/0009-0004-3160-412X
Gonzalo CasorzoBlueberry Breeding & Genomics Lab, IFAS, Gainesville, Florida, USA.ORCID https://orcid.org/0009-0001-9994-4874
Paul AdunolaBlueberry Breeding & Genomics Lab, IFAS, Gainesville, Florida, USA.
Renee StrauchPlants for Human Health Institute, North Carolina State University, Kannapolis, North Carolina, USA.
Mary GracePlants for Human Health Institute, North Carolina State University, Kannapolis, North Carolina, USA.
Mary Ann LilaPlants for Human Health Institute, North Carolina State University, Kannapolis, North Carolina, USA.
Camila F AzevedoBlueberry Breeding & Genomics Lab, IFAS, Gainesville, Florida, USA.
Luis Felipe FerrãoBlueberry Breeding & Genomics Lab, IFAS, Gainesville, Florida, USA.ORCID https://orcid.org/0000-0002-9655-4838
Patricio R MunozBlueberry Breeding & Genomics Lab, IFAS, Gainesville, Florida, USA.ORCID https://orcid.org/0000-0001-8973-9351

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Blueberries (Vaccinium spp.) are widely recognized as a superfruit due to their high content health-promoting bioactive compounds, including flavonoids and phenolic acids. While these metabolites provide significant health benefits, their postharvest stability and implications for shelf life are not well characterized, a fact that is essential to delivery nutritious foods to consumers. To understand it, this study aimed to investigate the variability and changes of 32 flavonoid and phenolic acid metabolites evaluated in a diverse blueberry panel of 165 genotypes advanced selections after 1 and 7 weeks of cold storage at 1°C. Longitudinal mixed models combined with genomic information were used to estimate genetic parameters, assess genotype-by-time interactions, and estimate the potential of genomic selection for improving phytochemical retention. Our contribution is fourfold. First, we detected significant variation in metabolomic profiles across genotypes in both the quantity and composition of health-related compounds. Second, moderate to high heritability estimates indicated strong genetic control of these traits during postharvest storage, indicating potential for breeding. Next, the use of longitudinal mixed model analyses showed significant genotype-by-time interactions for most metabolites, highlighting the complex relationship between genetic background and storage conditions. Finally, we showed promising prediction ability using genomic prediction models for most of the traits, indicating that molecular breeding is an important alternative to guide decisions related to improve health components. Together, these results demonstrate the strong genetic control of postharvest metabolite behavior and support the use of genomic selection to breed blueberry cultivars that maintain high nutritional value throughout the supply chain, maximizing both health benefits and market value.

Indexed as

Blueberry PlantsFruitPlant BreedingFlavonoidsGenotypeHydroxybenzoatesFlavonoidsHydroxybenzoatesphenolic acid

Identifiers

PMID42855862
PMCPMC13653081

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.