Evidence map›Paper›PMID 42469887›Full record

ArticleJournal of biological engineering2026

A signal peptide-guided approach towards in situ functionalization of bacterial nanocellulose in Komagataeibacter rhaeticus.

Jenni Vannas, Amritpal Singh, Bibi Hannikainen, Michelle Alexandrino de Assis, Rodrigo Ledesma-Amaro, Tom Ellis, Rahul Mangayil

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Article in Journal of biological engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Jenni Vannas *Department of Bioproducts and Biosystems, Aalto University, Espoo, Finland.
Amritpal Singh *Department of Bioengineering, Imperial College London, London, SW7 2AZ, UK.
Bibi HannikainenDepartment of Bioproducts and Biosystems, Aalto University, Espoo, Finland.
Michelle Alexandrino de AssisDepartment of Bioproducts and Biosystems, Aalto University, Espoo, Finland.
Rodrigo Ledesma-AmaroDepartment of Bioengineering, Imperial College London, London, SW7 2AZ, UK.
Tom EllisDepartment of Bioengineering, Imperial College London, London, SW7 2AZ, UK.
Rahul MangayilDepartment of Bioproducts and Biosystems, Aalto University, Espoo, Finland. rahul.mangayil@aalto.fi.ORCID http://orcid.org/0000-0001-7547-409X

Funding

Biotechnology and Biological Sciences Research Council BBSRC project BB/Y008510/1Biotechnology and Biological Sciences Research Council BBSRC studentship BB/R505808/1Engineering and Physical Sciences Research Council EPSRC project EP/N026489/1Research Council of Finland 353673 and 372125
6 · The paper itself

Abstract

backgroundBacterial nanocellulose (BC), produced by Komagataeibacter species, is an ideal scaffold for biological Engineered Living Materials (bioELMs) research. Current BC functionalization strategies often rely on secondary microbial hosts or post-production enzyme immobilization, limiting the scalability and modularity required for programmable bioELMs. Establishing a single-chassis system capable of simultaneous biopolymer synthesis and in situ functionalization remains a primary objective in bioELM research. This study addresses the need by benchmarking signal peptide-mediated protein translocation in K. rhaeticus iGEM, a model bacterium for BC-based bioELMs, enabling a synthetic biology framework for single-chassis based biomaterial functionalization.

resultsGenome-wide analysis confirmed the presence of a complete Sec translocation machinery in K. rhaeticus. Through liquid chromatography-tandem mass spectrometry and SignalP 5.0 prediction, native signal peptides were identified and evaluated alongside previously characterized heterologous signal peptides using β-lactamase and mScarlet as cargo proteins. Protein translocation was found to depend on signal peptide identity, cargo type, and expression mode. Fluorescence imaging revealed cytoplasmic, polar, and peripheral localization patterns, confirming functional engagement with the native translocation machinery. A key limitation identified was the retention of recombinant proteins within the periplasm, restricting extracellular availability. Despite this, signal peptide-mediated translocation enabled the incorporation of enzymatic activity into BC during biosynthesis. A post-growth osmotic shock-release strategy increased measurable enzymatic activity by 30%, demonstrating a practical route to overcome this physiological bottleneck while maintaining the biomaterial production capacity.

conclusionsThis study benchmarks signal peptide-dependent protein translocation in K. rhaeticus and identifies periplasmic retention as a key constraint for extracellular protein release. By linking protein translocation to in situ BC functionalization, this work establishes a synthetic biology framework that supports the development of K. rhaeticus as a single-chassis platform towards the production of functionalized bioELMs.

Indexed as

Bacterial nanocelluloseKomagataeibacter rhaeticusMicrobial chassis engineeringProtein localizationSignal peptidesSynthetic biology

Identifiers

PMID42469887
PMCPMC13660122

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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.