Evidence map›Paper›PMID 41948903›Full record

ArticleThe plant genome2026

Genome association of carbohydrate metabolites provides new insights toward functional breeding in coffee.

Estefania Tavares Flores, Robert Logan Spicer, Elaine M R Souza, Maria Amelia G Ferrão, João Felipe B Senra, Camila Azevedo, Patricio R Munoz, Denise Tieman, Cătălin Voiniciuc, Luis Felipe V Ferrão

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Genetic diversity and population structure ofFrontiers in plant science · 2026
    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

10 authors.

Estefania Tavares FloresHorticultural Sciences Department, University of Florida, Gainesville, Florida, USA.
Robert Logan SpicerHorticultural Sciences Department, University of Florida, Gainesville, Florida, USA.
Elaine M R SouzaInstituto Capixaba de Pesquisa, Assistência Técnica e Extensão Rural-Incaper, Espírito Santo, Brazil.
Maria Amelia G FerrãoInstituto Capixaba de Pesquisa, Assistência Técnica e Extensão Rural-Incaper, Espírito Santo, Brazil.
João Felipe B SenraInstituto Capixaba de Pesquisa, Assistência Técnica e Extensão Rural-Incaper, Espírito Santo, Brazil.
Camila AzevedoHorticultural Sciences Department, University of Florida, Gainesville, Florida, USA.ORCID https://orcid.org/0000-0003-0438-5123
Patricio R MunozHorticultural Sciences Department, University of Florida, Gainesville, Florida, USA.ORCID https://orcid.org/0000-0001-8973-9351
Denise TiemanHorticultural Sciences Department, University of Florida, Gainesville, Florida, USA.
Cătălin VoiniciucHorticultural Sciences Department, University of Florida, Gainesville, Florida, USA.
Luis Felipe V FerrãoHorticultural Sciences Department, University of Florida, Gainesville, Florida, USA.ORCID https://orcid.org/0000-0002-9655-4838

Funding

CAPESCNPq (National Council for Scientific and Technological Development, Brazil)Fapes (Espírito Santo Research Foundation, Brazil)
6 · The paper itself

Abstract

Coffee is one of the world's most widely consumed beverages, derived mainly from Coffea arabica, known for its superior flavor, and Coffea canephora (Robusta/Conilon), valued for its resilience and higher caffeine content. Functional breeding aims to develop cultivars that combine productivity and stress tolerance with improved health-related traits and flavor quality. Because carbohydrate polymers account for more than 50% of green coffee bean dry weight and act as key precursors of aroma and bioactive compounds, we hypothesized that elucidating the genetic architecture underlying carbohydrate metabolites would create new opportunities for molecular breeding in coffee. To test this hypothesis, we integrated cell wall carbohydrate profiling with genomic analyses in a genetically diverse coffee collection encompassing both Coffea canephora and Coffea arabica. Genome-wide association studies identified 14 major genomic loci associated with variation in cell wall polysaccharide composition. Using cup quality as a functional trait endpoint, we further linked carbohydrate profiles with sensory evaluations and propose a framework for implementing marker-assisted selection to accelerate flavor improvement in coffee breeding programs.

Indexed as

Carbohydrate MetabolismCoffeaCoffeeGenome, PlantPlant BreedingCell WallGenome-Wide Association StudyPolymorphism, Single NucleotideCoffee

Identifiers

PMID41948903
PMCPMC13058885

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.