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ArticleScientific data2025

Genome-Resolved Metagenomics of Rice Straw Degradation Experiments in Colombian Fields.

Jeferyd Yepes-García, Nicolás Novoa-Montenegro, Vanessa Otero-Jiménez, Daniel Uribe-Vélez, Emiliano Barreto-Hernández, Laurent Falquet

Abstract readDataset
In one paragraph

Article in Scientific data, 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

6 authors.

Jeferyd Yepes-GarcíaDepartment of Biology, University of Fribourg, Canton of Fribourg, Fribourg, 1700, Switzerland.ORCID 0000-0002-3278-3332
Nicolás Novoa-MontenegroAgricultural Microbiology Group, Instituto de Biotecnología, Universidad Nacional de Colombia, A.A 14-490, Bogotá D.C., Colombia.
Vanessa Otero-JiménezDepartment of Soil and Water Systems, University of Idaho, 875 Perimeter Drive MS2340, Moscow, ID, 83844-2340, USA.
Daniel Uribe-VélezAgricultural Microbiology Group, Instituto de Biotecnología, Universidad Nacional de Colombia, A.A 14-490, Bogotá D.C., Colombia.
Emiliano Barreto-HernándezBioinformatics group, Instituto de Biotecnología, Universidad Nacional de Colombia, A.A 14-490, Bogotá D.C., Colombia.
Laurent FalquetDepartment of Biology, University of Fribourg, Canton of Fribourg, Fribourg, 1700, Switzerland. laurent.falquet@unifr.ch.ORCID 0000-0001-8102-7579

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extensive rice harvesting yields more than 800 million tons of rice straw (RS) per year globally, generating a byproduct that is often difficult for farmers to manage efficiently without burning it. In the quest for enhanced RS degradation systems, we recovered 146 Metagenome-Assembled Genomes (MAGs) from experiments aiming at decomposing RS. Such assays included the application of a Bacillus strain, a Trichoderma-based commercial product, organic and inorganic compounds in different combinations during a solid-state fermentation in Colombian rice fields. The set of MAGs comprises 30 MAGs from bulk soil and 116 MAGs from RS surface, for which taxonomic classification indicates that 67% of them may constitute novel taxa. Furthermore, functional analysis through different approaches suggests the presence of both mid-quality and high-quality MAGs with potential to biotransform RS within this dataset. Finally, these MAGs represent a valuable resource for exploring uncharacterized microbial diversity in Colombian agricultural ecosystems.

Indexed as

MetagenomeOryzaSoil MicrobiologyAgricultureBacillusColombiaFermentationMetagenomics

Identifiers

PMID41258115
PMCPMC12630936

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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.