Supervised Classification of Metatranscriptomic Reads Reveals the Existence of Light-dark Oscillations During Infection of Phytoplankton by Viruses

Enzo Acerbi, Caroline Chenard, Stephan C. Schuster, Federico M. Lauro, Federico M. Lauro

2018

Abstract

In the era of next generation sequencing technologies microbial species identification is typically performed using sequence similarity and sequence phylogeny based approaches. Particularly challenging is the discrimination of closely related sequences such as auxiliary metabolic genes (AMGs) in cyanobacteria and their viruses (cyanophages). Here we developed a method which combines Support Vector Machine based classification of AMGs short fragments and Empirical Mode Decomposition of periodic features in time-series. We applied this method to investigate the transcriptional dynamics of viral infection in the ocean, using data extracted from a previously published metatranscriptome profile of a naturally occurring oceanic bacterial assemblage sampled Lagrangially over 3 days. We discovered the existence of light-dark oscillations in the expression patterns of AMGs in cyanophages which follow the harmonic diel transcription of both oxygenic photoautotrophic and heterotrophic members of the community. These findings suggest that viral infection might provide the link between light-dark oscillations of microbial populations in the North Pacific Subtropical Gyre.

Paper Citation

in Harvard Style

Acerbi E., Chenard C., Schuster S. and Lauro F. (2018). Supervised Classification of Metatranscriptomic Reads Reveals the Existence of Light-dark Oscillations During Infection of Phytoplankton by Viruses. In Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) - Volume 3: BIOINFORMATICS; ISBN 978-989-758-280-6, SciTePress, pages 69-77. DOI: 10.5220/0006763200690077

in Bibtex Style

@conference{bioinformatics18,
author={Enzo Acerbi and Caroline Chenard and Stephan C. Schuster and Federico M. Lauro},
title={Supervised Classification of Metatranscriptomic Reads Reveals the Existence of Light-dark Oscillations During Infection of Phytoplankton by Viruses},
booktitle={Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) - Volume 3: BIOINFORMATICS},
year={2018},
pages={69-77},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006763200690077},
isbn={978-989-758-280-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) - Volume 3: BIOINFORMATICS
TI - Supervised Classification of Metatranscriptomic Reads Reveals the Existence of Light-dark Oscillations During Infection of Phytoplankton by Viruses
SN - 978-989-758-280-6
AU - Acerbi E.
AU - Chenard C.
AU - Schuster S.
AU - Lauro F.
PY - 2018
SP - 69
EP - 77
DO - 10.5220/0006763200690077
PB - SciTePress