Using Mothur to Determine Bacterial Community Composition and Structure in 16S Ribosomal RNA Datasets.

Clicks: 383
ID: 53321
2019
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #2 of 3 articles by views in current protocols in bioinformatics

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
The 16S ribosomal RNA (rRNA) gene is one of the scaffolding molecules of the prokaryotic ribosome. Because this gene is slow to evolve and has very well conserved regions, this gene is used to reconstruct phylogenies in prokaryotes. Universal primers can be used to amplify the gene in prokaryotes including bacteria and archaea. To determine the microbial composition in microbial communities using high-throughput short-read sequencing techniques, primers are designed to span two or three of the nine variable regions of the gene. Mothur, developed in 2009, is a suite of tools to study the composition and structure of bacterial communities. This package is freely available from the developers (https://www.mothur.org). This protocol will show how to (1) perform preprocessing of sequences to remove errors, (2) perform operational taxonomic unit (OTU) analysis to determine alpha and beta diversity, and (3) determine the taxonomic profile of OTUs and the environmental sample. © 2019 The Authors.
Reference Key
chappidi2019usingcurrent Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Chappidi, Sruthi;Villa, Erika C;Cantarel, Brandi L;
Journal current protocols in bioinformatics
Year 2019
DOI
10.1002/cpbi.83
URL
Keywords

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.