rANOMALY: AmplicoN wOrkflow for Microbial community AnaLYsis.

F1000Res

Université Clermont Auvergne, INRAE, VetAgro Sup, UMRF, F-15000, Aurillac, France.

Published: June 2021

AI Article Synopsis

  • The text discusses the challenges in keeping up with evolving bioinformatics tools for marker gene sequencing data analysis.
  • It introduces the R package rANOMALY, designed for the analysis of 16S and ITS amplicons, which automates the entire workflow from raw sequencing data to ecological analysis and validation.
  • rANOMALY offers customizable features, ensures reproducibility, and produces ready-to-publish figures, making it a valuable resource for researchers in microbial community characterization.

Article Abstract

Bioinformatic tools for marker gene sequencing data analysis are continuously and rapidly evolving, thus integrating most recent techniques and tools is challenging. We present an R package for data analysis of 16S and ITS amplicons based sequencing. This workflow is based on several R functions and performs automatic treatments from fastq sequence files to diversity and differential analysis with statistical validation. The main purpose of this package is to automate bioinformatic analysis, ensure reproducibility between projects, and to be flexible enough to quickly integrate new bioinformatic tools or statistical methods. rANOMALY is an easy to install and customizable R package, that uses amplicon sequence variants (ASV) level for microbial community characterization. It integrates all assets of the latest bioinformatics methods, such as better sequence tracking, decontamination from control samples, use of multiple reference databases for taxonomic annotation, all main ecological analysis for which we propose advanced statistical tests, and a cross-validated differential analysis by four different methods. Our package produces ready to publish figures, and all of its outputs are made to be integrated in Rmarkdown code to produce automated reports.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7836088PMC
http://dx.doi.org/10.12688/f1000research.27268.1DOI Listing

Publication Analysis

Top Keywords

microbial community
8
bioinformatic tools
8
data analysis
8
differential analysis
8
analysis
7
ranomaly amplicon
4
amplicon workflow
4
workflow microbial
4
community analysis
4
analysis bioinformatic
4

Similar Publications

Rare constituents of the nasal microbiome contribute to the acute exacerbation of chronic rhinosinusitis.

Inflamm Res

January 2025

Department of Otolaryngology, Peking University Third Hospital, Haidian District, No. 49 Huayuan North Road, Beijing, 100191, People's Republic of China.

Background: Dysbiosis of the nasal microbiome is considered to be related to the acute exacerbation of chronic rhinosinusitis (AECRS). The microbiota in the nasal cavity of AECRS patients and its association with disease severity has rarely been studied. This study aimed to characterize nasal dysbiosis in a prospective cohort of patients with AECRS.

View Article and Find Full Text PDF

Soil microbiota plays crucial roles in maintaining the health, productivity, and nutrient cycling of terrestrial ecosystems. The persistence and prevalence of heterocyclic compounds in soil pose significant risks to soil health. However, understanding the links between heterocyclic compounds and microbial responses remains challenging due to the complexity of microbial communities and their various chemical structures.

View Article and Find Full Text PDF

The coronavirus disease 2019 (COVID-19) is a fatal disease caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). To date, several vaccines have been developed to combat the spread of this virus. Mucosal vaccines using food-grade bacteria, such as Lactobacillus spp.

View Article and Find Full Text PDF

The HoloFood project used a hologenomic approach to understand the impact of host-microbiota interactions on salmon and chicken production by analysing multiomic data, phenotypic characteristics, and associated metadata in response to novel feeds. The project's raw data, derived analyses, and metadata are deposited in public, open archives (BioSamples, European Nucleotide Archive, MetaboLights, and MGnify), so making use of these diverse data types may require access to multiple resources. This is especially complex where analysis pipelines produce derived outputs such as functional profiles or genome catalogues.

View Article and Find Full Text PDF

Attraction of Bactrocera cucurbitae (Coquillett) to selected gut microbiota supernatants: implications for pest control.

Pest Manag Sci

January 2025

State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, China.

Background: Bactrocera cucurbitae (Coquillett) is a distructive quarantine insect pest that causes significant economic losses on cucurbit crops. To explore a green control approach, we investigated the behavioral responses of B. cucurbitae larvae and adults to bacterial suspensions, sediments, and supernatants derived from eight gut microbial strains across four distinct genera.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!