On the complexity of haplotyping a microbial community

Samuel Nicholls, Wayne Aubrey, Kurt De Grave, Leander Schietgat, Christopher Creevey, Amanda Clare

Onderzoeksoutput: Articlepeer review

9 Citaten (Scopus)
96 Downloads (Pure)

Samenvatting

Motivation
Population-level genetic variation enables competitiveness and niche specialization in microbial communities. Despite the difficulty in culturing many microbes from an environment, we can still study these communities by isolating and sequencing DNA directly from an environment (metagenomics). Recovering the genomic sequences of all isoforms of a given gene across all organisms in a metagenomic sample would aid evolutionary and ecological insights into microbial ecosystems with potential benefits for medicine and biotechnology. A significant obstacle to this goal arises from the lack of a computationally tractable solution that can recover these sequences from sequenced read fragments. This poses a problem analogous to reconstructing the two sequences that make up the genome of a diploid organism (i.e. haplotypes) but for an unknown number of individuals and haplotypes.
Results
The problem of single individual haplotyping was first formalized by Lancia et al. in 2001. Now, nearly two decades later, we discuss the complexity of ‘haplotyping’ metagenomic samples, with a new formalization of Lancia et al.’s data structure that allows us to effectively extend the single individual haplotype problem to microbial communities. This work describes and formalizes the problem of recovering genes (and other genomic subsequences) from all individuals within a complex community sample, which we term the metagenomic individual haplotyping problem. We also provide software implementations for a pairwise single nucleotide variant (SNV) co-occurrence matrix and greedy graph traversal algorithm.
Availability and implementation
Our reference implementation of the described pairwise SNV matrix (Hansel) and greedy haplotype path traversal algorithm (Gretel) is open source, MIT licensed and freely available online at github.com/samstudio8/hansel and github.com/samstudio8/gretel, respectively.
Originele taal-2English
Artikelnummerbtaa977
Pagina's (van-tot)1360-1366
Aantal pagina's7
TijdschriftBioinformatics
Volume37
Nummer van het tijdschrift10
Vroegere onlinedatum18 nov 2020
DOI's
StatusPublished - 15 mei 2021

Bibliografische nota

© The Author(s) 2020. Published by Oxford University Press.

Vingerafdruk

Duik in de onderzoeksthema's van 'On the complexity of haplotyping a microbial community'. Samen vormen ze een unieke vingerafdruk.

Citeer dit