Evidence map›Paper›PMID 40560314›Full record

ArticleWorld journal of microbiology & biotechnology2025

Deciphering soil nematode-bacteria-fungi community composition and functional dynamics in coffee agroecosystems under conventional and sustainable management practices in Costa Rica.

José Andrés Rojas-Chacón, Fabián Echeverría-Beirute, José Pablo Jiménez-Madrigal, Ingrid Varela-Benavides, Valeria Faggioli, Dirk Berkelmann, Andrés Gatica-Arias

Abstract read
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In one paragraph

Article in World journal of microbiology & biotechnology, 2025. 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

7 authors.

José Andrés Rojas-ChacónMaestría en Ciencia y Tecnología Para La Sostenibilidad, Instituto Tecnológico de Costa Rica, San Carlos Campus, 159-7050, Alajuela, Costa Rica. joseandresrojaschacon@hotmail.com.ORCID http://orcid.org/0000-0001-8049-532X
Fabián Echeverría-BeiruteDOCINADE, Instituto Tecnológico de Costa Rica, San Carlos, 159-7050, Alajuela, Costa Rica.ORCID http://orcid.org/0000-0002-7238-220X
José Pablo Jiménez-MadrigalDOCINADE, Instituto Tecnológico de Costa Rica, Escuela de Ciencias Naturales y Exactas, 159-7050, San Carlos, Alajuela, Costa Rica.ORCID http://orcid.org/0000-0002-0345-8899
Ingrid Varela-BenavidesDOCINADE, Instituto Tecnológico de Costa Rica, San Carlos, 159-7050, Alajuela, Costa Rica.ORCID http://orcid.org/0000-0003-1210-2664
Valeria FaggioliCABANAnet (Capacity Building for Bioinformatics in Latin America), San José, 2060-11501, Costa Rica.ORCID http://orcid.org/0000-0002-7066-6866
Dirk BerkelmannSchool of Biology, Plant Biotechnology Laboratory, Universidad of Costa Rica, 11501-2060, San José, San Pedro de Montes de Oca, Costa Rica.ORCID http://orcid.org/0009-0006-9150-3878
Andrés Gatica-AriasCABANAnet (Capacity Building for Bioinformatics in Latin America), San José, 2060-11501, Costa Rica.ORCID http://orcid.org/0000-0002-3841-0238

Funding

The Chan Zuckerberg Initiative DAF 2022-316296UKRI-BBSRC Capacity Building for Bioinformatics in Latin America Network (CABANA-net) grant, between the Chan Zuckerberg Initiative (CZI) and the University of Costa Rica 801-C3-501
6 · The paper itself

Abstract

Understanding the interactions between soil bacteria, fungi, and nematodes in coffee agroecosystems is crucial for optimizing sustainable agriculture. This study investigated the composition and functional dynamics of these communities under conventional and sustainable management systems. Soil samples were collected from three major coffee-growing regions in Costa Rica, representing different agricultural regimes. Nematode community was analyzed using optical microscopy, while microbial communities were analyzed using high-throughput sequencing. In both cases, bioinformatic tools were used for functional prediction based on taxonomy.. Herbivorous nematodes dominated both systems, while bacterivores (Rhabditidae, Cephalobidae) and fungivores (Aphelenchoidae) were significantly more abundant in soils subject to sustainable practice (p < 0.05). Nematode maturity indices and food web diagnostics showed no significant differences between systems, even though metabolic footprints related to organic matter decomposition varied (p < 0.05). Bacterial communities were dominated by the phyla Proteobacteria, Acidobacteria, and Chloroflexi, while the fungal community was largely composed of Ascomycota (53.21% in both systems). The fungal genus Mortierella was particularly prevalent. Soil pH, along with Ca, Mg, K, and extractable acidity, influenced community composition. Functional profiles revealed higher gene abundances linked to nutrient and energy cycling in sustainable systems, particularly phosphorus and sulfur metabolism. Saprotroph-symbiotroph fungi were more common in sustainable soils, while pathotrophic fungi dominated conventional systems. This is the first comprehensive analysis of bacteria, fungi, and nematodes across different agricultural practices in coffee agroecosystems in Costa Rica.

Indexed as

BacteriaCoffeeFungiNematodaSoil MicrobiologyAgricultureAnimalsCoffeaCosta RicaHigh-Throughput Nucleotide SequencingSoilCoffeeSoilBiodiversityEcologyMicrobiomeRhizosphereSoil

Identifiers

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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.