Evidence map›Paper›PMID 40461526›Full record

ArticleScientific reports2025

Soil and cherry bacterial communities predict flavor on coffee farms.

Steve Kutos, Ruth E Bennett, Danilo Santos, Esteban Botero-Delgadillo, Carly R Muletz-Wolz

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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. Review
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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

5 authors.

Steve KutosCenter for Conservation Genomics, Smithsonian's National Zoo and Conservation Biology Institute, Washington, DC, USA. kutoss@si.edu.
Ruth E BennettMigratory Bird Center, Smithsonian's National Zoo and Conservation Biology Institute, Washington, DC, USA.
Danilo SantosSELVA: Research for Conservation in the Neotropics, Bogota, Colombia.
Esteban Botero-DelgadilloMigratory Bird Center, Smithsonian's National Zoo and Conservation Biology Institute, Washington, DC, USA.
Carly R Muletz-WolzCenter for Conservation Genomics, Smithsonian's National Zoo and Conservation Biology Institute, Washington, DC, USA. muletzc@si.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coffee (Coffea arabica) is a popular beverage worldwide with increasing value placed on sensory qualities as specialty markets grow. Plant-associated microbiomes have emerged as a potential but poorly understood driver of coffee flavor that may interact with other environmental and farm management factors. To determine if coffee plant-associated bacteria are linked with flavor, we collected 320 soil and 320 coffee cherry samples from 22 farms in Cundinamarca, Colombia that varied in farm management system (shade vs. sun-grown) and in flavor (presence vs. absence of a specialty flavor profile). We found, using amplicon sequencing, that soil and cherry bacterial communities differed between sun and shade farms and between farms that did and did not produce specialty flavored coffee, with shade + flavor farms notably distinct. Flavor presence was predicted by the abundance of multiple bacterial strains in soils and cherries, but correlations with flavor differed between sun and shade systems. These bacterial taxa correlated with coffee flavor may guide future efforts to optimize farms for specialty quality characteristics. Overall, the observed complex relationships between plant-associated bacteria and coffee flavor will likely require that initiatives seeking to optimize microbiomes for quality outcomes be tailored to individual farm systems and local conditions.

Indexed as

BacteriaCoffeaCoffeeMicrobiotaPrunus aviumSoil MicrobiologyTasteColombiaFarmsCoffeeAgroforestryBacteriaCoffeeMicrobiomeSoil ecology

Identifiers

PMID40461526
PMCPMC12134262

What OpenQuestion holds

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Registered trials

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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.