Deletion of the moeA gene in Flavobacterium IR1 drives structural color shift from green to blue and alters polysaccharide metabolism

Structural colors (SC), generated by light interacting with nano-structured materials, are responsible for the brightest and most vivid coloration in nature. Despite being widespread within the tree of life, there is little knowledge of the genes involved. Partial exceptions are some Flavobacteriia in which genes involved in a number of pathways, including gliding motility and polysaccharide metabolism, have been linked to SC. A previous genomic analysis of SC and non-SC bacteria suggested that the pterin pathway is involved in the organization of bacteria to form SC. Here, we focus on moe A, a molybdopterin molybdenum transferase. When this gene was deleted from Flavobacterium IR1, the knock-out mutant showed a strong blue shift in SC of the colony compared to the wild-type. The moe A mutant showed a particularly strong blue shift when grown on kappa-carrageenan and was upregulated for starch degradation. To further analyze the molecular changes, proteomic analysis was performed, showing the upregulation of various polysaccharide utilization loci, which supported the link between moe A and polysaccharide metabolism in SC. Overall, we demonstrated that a targeted approach, modifying a single gene identified by genomics, could change the optical properties of bacteria.

Authors

Institutions

Publication Details

Journal
eLife
Published
2026-01-02
DOI
https://doi.org/10.7554/elife.105029.3
Primary Topic
Microbial Metabolism and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Deletion of the moeA gene in Flavobacterium IR1 drives structural color shift from green to blue and alters polysaccharide metabolism

Maria V. Turkina, Colin J. Ingham, Álvaro Escobar Doncel, Silvia Vignolini et al.
eLife
Microbial Metabolism and Applications
article

Deletion of the moeA gene in Flavobacterium IR1 drives structural color shift from green to blue and alters polysaccharide metabolism

Maria V. Turkina, Colin J. Ingham, Álvaro Escobar Doncel, Silvia Vignolini, Raymond H.J. Staals, Maria Beatriz Walter Costa, Bas E. Dutilh, Maria Murace, Alexandre Rosa Campos, Constantinos Patinios
article en

Abstract

Structural colors (SC), generated by light interacting with nano-structured materials, are responsible for the brightest and most vivid coloration in nature. Despite being widespread within the tree of life, there is little knowledge of the genes involved. Partial exceptions are some Flavobacteriia in which genes involved in a number of pathways, including gliding motility and polysaccharide metabolism, have been linked to SC. A previous genomic analysis of SC and non-SC bacteria suggested that the pterin pathway is involved in the organization of bacteria to form SC. Here, we focus on moe A, a molybdopterin molybdenum transferase. When this gene was deleted from Flavobacterium IR1, the knock-out mutant showed a strong blue shift in SC of the colony compared to the wild-type. The moe A mutant showed a particularly strong blue shift when grown on kappa-carrageenan and was upregulated for starch degradation. To further analyze the molecular changes, proteomic analysis was performed, showing the upregulation of various polysaccharide utilization loci, which supported the link between moe A and polysaccharide metabolism in SC. Overall, we demonstrated that a targeted approach, modifying a single gene identified by genomics, could change the optical properties of bacteria.

eLifeVol. 14
Linköping University (SE), Utrecht University (NL), University of Cambridge (GB), Max Planck Institute of Colloids and Interfaces (DE), Universidade Cruzeiro do Sul (BR), Friedrich Schiller University Jena (DE), Wageningen University & Research (NL)
Life in Land
Openalex Percentile: Top 99%
Microbial Metabolism and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.