Evidence map›Paper›PMID 41882344›Full record

ArticleApplied microbiology and biotechnology2026

A fast workflow to explore active enzymes from environmental samples through functional metagenomics.

Arief Muammar, Endah Retnaningrum, Budi Setiadi Daryono, Irfan Dwidya Prijambada, Yuki Yashima, Clemens Peterbauer

Abstract read
In one paragraph

Article in Applied microbiology and biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Arief MuammarFood Biotechnology Laboratory, Department of Biotechnology and Food Sciences, BOKU University, Muthgasse 11, 1190, Vienna, Austria.
Endah RetnaningrumDepartment of Tropical Biology, Faculty of Biology, Universitas Gadjah Mada, Jalan Teknika Selatan, Sinduadi, Mlati, Sleman, 55281, Special Region of Yogyakarta, Indonesia.
Budi Setiadi DaryonoDepartment of Tropical Biology, Faculty of Biology, Universitas Gadjah Mada, Jalan Teknika Selatan, Sinduadi, Mlati, Sleman, 55281, Special Region of Yogyakarta, Indonesia.
Irfan Dwidya PrijambadaFaculty of Agriculture, Universitas Gadjah Mada, Jalan Flora, Bulaksumur, Sleman, 55281, Special Region of Yogyakarta, Indonesia.
Yuki YashimaFood Biotechnology Laboratory, Department of Biotechnology and Food Sciences, BOKU University, Muthgasse 11, 1190, Vienna, Austria.
Clemens PeterbauerFood Biotechnology Laboratory, Department of Biotechnology and Food Sciences, BOKU University, Muthgasse 11, 1190, Vienna, Austria. clemens.peterbauer@boku.ac.at.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Functional metagenomics has emerged as an effective tool for discovering novel enzymes directly from environmental samples, overcoming the limitations of traditional culture-based methods. In this study, we used a functional metagenomic approach on stool samples from Axis kuhlii, an endemic deer species from Indonesia, to identify active cellulases. We created an efficient workflow for expression of metagenomic sequences directly in Komagatella phaffii by combining metagenomic sequencing to investigate enzyme diversity, multiplex PCR to build a genes library, and rolling circle amplification (RCA) to streamline the cloning process, eliminating the need for intermediate Escherichia coli transformation and propagation steps. Furthermore, a semi-high-throughput screening method was used to evaluate multiple samples at once, allowing for the rapid identification of active enzymes. Using this approach, we discovered five endoglucanases and three β-glucosidases with confirmed enzyme activity. This study shows that functional metagenomics can bridge the gap between computational predictions and experimental validation, providing a reliable platform for enzyme discovery and characterization from complex environmental microbiomes. KEY POINTS: • We established K. phaffii expression of metagenomic sequences via multiplex PCR and RCA. • This approach links metagenomic and activity screening to enable enzyme discovery. • Eight active cellulases were obtained from environmental samples through this approach.

Indexed as

CellulasesMetagenomicsAnimalsCloning, MolecularFecesGene LibraryIndonesiaMetagenomeMultiplex Polymerase Chain ReactionWorkflowCellulasesCellulaseFunctional metagenomicMultiplex PCRRolling circle amplification

Identifiers

PMID41882344
PMCPMC13021860

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.