Metatranscriptomic Analysis of Bacterial Communities on Laundered Textiles: A Pilot Case Study

Area of Science:

• Microbiology
• Textile Science
• Genomics

Background:

• Washing machines and mild laundering can promote microbial growth on textiles, leading to malodor.
• Understanding the laundry microbiota's function and hygienic impact requires analyzing microbial gene expression on fabrics.
• Previous studies have not investigated microbial gene expression on textiles post-washing.

Purpose of the Study:

• To analyze the microbial gene expression on polyester and cotton fabrics after washing under mild conditions.
• To compare the bacterial communities and their gene expression profiles on different fabric types.
• To establish a methodology for studying laundry microbiota gene expression.

Main Methods:

• Pilot case study using single-end RNA sequencing.
• Generation of de novo transcriptomes for bacterial communities on washed fabrics.
• Use of two common de novo transcriptome assemblers (Trinity and Spades).
• Functional categorization of assembled transcripts using SwissProt and Gene Ontology (GO) terms.
• Differential gene expression analysis between fabric types.

Main Results:

• Successful generation of de novo transcriptomes from laundry microbiota.
• A significant portion of transcripts were annotated to known functions and pathways.
• Differential gene expression analysis highlighted distinct microbial activity patterns between polyester and cotton fabrics.
• Comparison of assemblers showed similar annotation but differences in differential expression results.

Conclusions:

• The study provides the first analysis of microbial gene expression on textiles after washing.
• Distinct bacterial gene expression profiles exist on different fabric types, influencing laundry hygiene.
• The methodology is suitable for further research into laundry microbiota and its implications.