Evidence map›Paper›PMID 40531656›Full record

ArticleEnvironmental microbiology reports2025

Enhancing Biodiversity-Function Relationships in Field Retting: Towards Key Microbial Indicators for Retting Control.

Eliane Bou Orm, Suvajit Mukherjee, Etienne Rifa, Anne Créach, Sébastien Grec, Sandrine Bayle, Jean-Charles Benezet, Anne Bergeret, Luc Malhautier

Erratum issuedAbstract read
In one paragraph

Article in Environmental microbiology reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Eliane Bou OrmPolymers, Composites and Hybrids (PCH), IMT Mines Alès, Alès, France.ORCID https://orcid.org/0000-0002-2708-8888
Suvajit MukherjeeUniv Lille, CNRS, UMR 8576-UGSF-Unité de Glycobiologie Structurale et Fonctionnelle, Lille, France.
Etienne RifaToulouse Biotechnology Institute (TBI), Plateforme Genome et Transcriptome (GeT-Biopuces), Université de Toulouse, CNRS, INRAE, INSA, Toulouse, France.
Anne CréachUniv Lille, CNRS, UMR 8576-UGSF-Unité de Glycobiologie Structurale et Fonctionnelle, Lille, France.
Sébastien GrecUniv Lille, CNRS, UMR 8576-UGSF-Unité de Glycobiologie Structurale et Fonctionnelle, Lille, France.
Sandrine BayleLaboratoire Des Sciences Des Risques (LSR), IMT Mines Alès, Alès, France.
Jean-Charles BenezetPolymers, Composites and Hybrids (PCH), IMT Mines Alès, Alès, France.
Anne BergeretPolymers, Composites and Hybrids (PCH), IMT Mines Alès, Alès, France.
Luc MalhautierLaboratoire Des Sciences Des Risques (LSR), IMT Mines Alès, Alès, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hemp field retting is a bioprocess that facilitates fibre extraction by degrading pectin and other matrix components surrounding fibre bundles. However, traditional methods rely on empirical practices, often resulting in inconsistent fibre quality. This study investigates the biodiversity-function relationship in the hemp retting ecosystem to identify microbial and enzymatic indicators for improved process control. Over six weeks of field retting, we monitored bacterial and fungal community dynamics using high-throughput sequencing and assessed enzymatic activity profiles. Our results revealed a sequential enzymatic pattern: pectinases (e.g., polygalacturonase) dominated early stages, followed by hemicellulases (β-xylosidase, β-galactosidase), and later cellulases. These enzymatic shifts were reflected in the changes in microbial community composition, with pectinolytic bacteria (e.g., Proteobacteria) dominating the initial phases and cellulolytic fungi (e.g., Ascomycota) becoming more prevalent later. Our results identified specific microbial taxa correlated with optimal retting, suggesting their potential as bioindicators for monitoring retting. Specifically, key bacterial genera such as Pseudomonas and Sphingomonas, and fungal genera like Cladosporium, were associated with distinct enzymatic profiles. Our findings offer new insights into the microbial ecology of retting, providing both microbial and enzymatic indicators that could inform the development of monitoring strategies for process control, ultimately contributing to more consistent hemp fibre production.

Indexed as

BacteriaBiodiversityCannabisFungiGlycoside HydrolasesMicrobiotaPectinsGlycoside HydrolasesPectinsbacterial and fungal communitiesenzymatic activityfield rettinghemphigh‐throughput sequencingmetabarcodingtemporal dynamics

Identifiers

PMID40531656
PMCPMC12175878

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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.