Swarm v2: highly-scalable and high-resolution amplicon clustering

Author:

Mahé Frédéric1,Rognes Torbjørn23,Quince Christopher4,de Vargas Colomban56,Dunthorn Micah1

Affiliation:

1. Department of Ecology, Technische Universität Kaiserslautern, Kaiserslautern, Germany

2. Department of Informatics, University of Oslo, Oslo, Norway

3. Department of Microbiology, Oslo University Hospital, Rikshospitalet, Oslo, Norway

4. Warwick Medical School, University of Warwick, Warwick, United Kingdom

5. UMR 7144, EPEP–Évolution des Protistes et des Écosystèmes Pélagiques, Station Biologique de Roscoff, CNRS, Roscoff, France

6. UMR7144 Station Biologique de Roscoff, Sorbonne Universités, UPMC Univ Paris 06, Roscoff, France

Abstract

Previously we presented Swarm v1, a novel and open source amplicon clustering program that produced fine-scale molecular operational taxonomic units (OTUs), free of arbitrary global clustering thresholds and input-order dependency. Swarm v1 worked with an initial phase that used iterative single-linkage with a local clustering threshold (d), followed by a phase that used the internal abundance structures of clusters to break chained OTUs. Here we present Swarm v2, which has two important novel features: (1) a new algorithm ford= 1 that allows the computation time of the program to scale linearly with increasing amounts of data; and (2) the new fastidious option that reduces under-grouping by grafting low abundant OTUs (e.g., singletons and doubletons) onto larger ones. Swarm v2 also directly integrates the clustering and breaking phases, dereplicates sequencing reads withd= 0, outputs OTU representatives in fasta format, and plots individual OTUs as two-dimensional networks.

Funder

Deutsche Forschungsgemeinschaft

EPSRC Career Acceleration Fellowship

EU EraNet BiodivErsA program BioMarKs

French government “Investissements d’Avenir” project OCEANOMICS

EU FP7 program MicroB3

Publisher

PeerJ

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

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