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

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This study identifies microbial and enzymatic indicators for consistent hemp fibre production. Key bacteria like Pseudomonas and fungi such as Cladosporium signal optimal retting stages.

Keywords:
bacterial and fungal communitiesenzymatic activityfield rettinghemphigh‐throughput sequencingmetabarcodingtemporal dynamics

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Area of Science:

  • Microbial Ecology
  • Biotechnology
  • Agricultural Science

Background:

  • Hemp retting is crucial for fibre extraction but often yields inconsistent quality due to empirical methods.
  • Understanding the microbial and enzymatic processes is key to optimizing this bioprocess.

Purpose of the Study:

  • To investigate the biodiversity-function relationship in hemp retting ecosystems.
  • To identify microbial and enzymatic indicators for improved process control and consistent fibre quality.

Main Methods:

  • Monitoring bacterial and fungal community dynamics via high-throughput sequencing over six weeks of field retting.
  • Assessing enzymatic activity profiles, including pectinases, hemicellulases, and cellulases.

Main Results:

  • A sequential enzymatic pattern was observed: pectinases early, followed by hemicellulases, then cellulases.
  • Microbial communities shifted accordingly, with pectinolytic bacteria initially and cellulolytic fungi later.
  • Specific genera like Pseudomonas, Sphingomonas (bacteria), and Cladosporium (fungi) were linked to optimal retting stages and enzymatic profiles.

Conclusions:

  • Identified microbial taxa (e.g., Pseudomonas, Sphingomonas, Cladosporium) and enzymatic activities as potential bioindicators for hemp retting.
  • Findings provide insights into retting microbial ecology, enabling monitoring strategies for consistent hemp fibre production.