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Updated: Dec 27, 2025

Next-generation Sequencing of 16S Ribosomal RNA Gene Amplicons

Next-generation Sequencing of 16S Ribosomal RNA Gene Amplicons

Published on: August 29, 2014

Mothulity Facilitates 16S/ITS Amplicon Diversity Analysis.

D Izak¹, A Gromadka¹, S Kaczanowski¹

¹Department of Bioinformatics, Institute of Biochemistry and Biophysics Polish Academy of Science, Warsaw, Poland.

Current Protocols in Bioinformatics

|February 25, 2020

Summary

Mothulity simplifies microbial community analysis by providing an intuitive interface for the Mothur software. This tool reduces errors and speeds up the process, generating high-quality figures for biodiversity studies.

Keywords:

bacterial community diversity fungal

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Last Updated: Dec 27, 2025

Next-generation Sequencing of 16S Ribosomal RNA Gene Amplicons

Next-generation Sequencing of 16S Ribosomal RNA Gene Amplicons

Published on: August 29, 2014

Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing

Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing

Published on: October 15, 2019

Efficient Nucleic Acid Extraction and 16S rRNA Gene Sequencing for Bacterial Community Characterization

Efficient Nucleic Acid Extraction and 16S rRNA Gene Sequencing for Bacterial Community Characterization

Published on: April 14, 2016

Area of Science:

Microbiology
Bioinformatics
Computational Biology

Background:

Mothur is a widely used software for microbial community analysis (16S/ITS sequencing).
Executing Mothur can be complex for new users and time-consuming for experienced users.
Mothur lacks graphical output, requiring users to generate plots separately.

Purpose of the Study:

Introduce Mothulity, a novel graphical user interface for Mothur.
To streamline and simplify the 16S/ITS biodiversity analysis workflow.
To reduce human error and accelerate analysis time.

Main Methods:

Developed a minimalistic yet powerful interface for Mothur.
Automated and predefined most analysis parameters.
Integrated SLURM workload manager compatibility.

Main Results:

Mothulity minimizes human error in Mothur analysis.
Significantly reduces the time required for biodiversity analysis.
Generates an HTML report with publication-quality figures.

Conclusions:

Mothulity enhances the usability of Mothur for 16S/ITS biodiversity analysis.
The tool is suitable for various computing environments, including those using SLURM.
Facilitates faster and more reliable microbial community analysis.