Unknown

Dataset Information

0

Simulating metagenomic stable isotope probing datasets with MetaSIPSim.


ABSTRACT: BACKGROUND:DNA-stable isotope probing (DNA-SIP) links microorganisms to their in-situ function in diverse environmental samples. Combining DNA-SIP and metagenomics (metagenomic-SIP) allows us to link genomes from complex communities to their specific functions and improves the assembly and binning of these targeted genomes. However, empirical development of metagenomic-SIP methods is hindered by the complexity and cost of these studies. We developed a toolkit, 'MetaSIPSim,' to simulate sequencing read libraries for metagenomic-SIP experiments. MetaSIPSim is intended to generate datasets for method development and testing. To this end, we used MetaSIPSim generated data to demonstrate the advantages of metagenomic-SIP over a conventional shotgun metagenomic sequencing experiment. RESULTS:Through simulation we show that metagenomic-SIP improves the assembly and binning of isotopically labeled genomes relative to a conventional metagenomic approach. Improvements were dependent on experimental parameters and on sequencing depth. Community level G?+?C content impacted the assembly of labeled genomes and subsequent binning, where high community G?+?C generally reduced the benefits of metagenomic-SIP. Furthermore, when a high proportion of the community is isotopically labeled, the benefits of metagenomic-SIP decline. Finally, the choice of gradient fractions to sequence greatly influences method performance. CONCLUSIONS:Metagenomic-SIP is a valuable method for recovering isotopically labeled genomes from complex communities. We show that metagenomic-SIP performance depends on optimization of experimental parameters. MetaSIPSim allows for simulation of metagenomic-SIP datasets which facilitates the optimization and development of metagenomic-SIP experiments and analytical approaches for dealing with these data.

SUBMITTER: Barnett SE 

PROVIDER: S-EPMC6993524 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature

altmetric image

Publications

Simulating metagenomic stable isotope probing datasets with MetaSIPSim.

Barnett Samuel E SE   Buckley Daniel H DH  

BMC bioinformatics 20200130 1


<h4>Background</h4>DNA-stable isotope probing (DNA-SIP) links microorganisms to their in-situ function in diverse environmental samples. Combining DNA-SIP and metagenomics (metagenomic-SIP) allows us to link genomes from complex communities to their specific functions and improves the assembly and binning of these targeted genomes. However, empirical development of metagenomic-SIP methods is hindered by the complexity and cost of these studies. We developed a toolkit, 'MetaSIPSim,' to simulate s  ...[more]

Similar Datasets

| S-EPMC6331573 | biostudies-literature
| S-EPMC4592864 | biostudies-literature
| S-EPMC9769660 | biostudies-literature
| S-EPMC2849185 | biostudies-literature
| PRJEB23737 | ENA
| S-EPMC4476716 | biostudies-literature
2018-09-07 | GSE119644 | GEO
2020-09-09 | PXD015215 | Pride
| S-EPMC6132504 | biostudies-literature
| S-EPMC4555085 | biostudies-literature