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Shotgun metagenomics of soil invertebrate communities reflects taxonomy, biomass, and reference genome properties

Metagenomics – shotgun sequencing of all DNA fragments from a community DNA extract – is routinely used to describe the composition, structure, and function of microorganism communities. Advances in DNA sequencing and the availability of genome databases increasingly allow the use of shotgun metagen...

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Autores principales: Schmidt, Alexandra, Schneider, Clément, Decker, Peter, Hohberg, Karin, Römbke, Jörg, Lehmitz, Ricarda, Bálint, Miklós
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9170594/
https://www.ncbi.nlm.nih.gov/pubmed/35784064
http://dx.doi.org/10.1002/ece3.8991
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author Schmidt, Alexandra
Schneider, Clément
Decker, Peter
Hohberg, Karin
Römbke, Jörg
Lehmitz, Ricarda
Bálint, Miklós
author_facet Schmidt, Alexandra
Schneider, Clément
Decker, Peter
Hohberg, Karin
Römbke, Jörg
Lehmitz, Ricarda
Bálint, Miklós
author_sort Schmidt, Alexandra
collection PubMed
description Metagenomics – shotgun sequencing of all DNA fragments from a community DNA extract – is routinely used to describe the composition, structure, and function of microorganism communities. Advances in DNA sequencing and the availability of genome databases increasingly allow the use of shotgun metagenomics on eukaryotic communities. Metagenomics offers major advances in the recovery of biomass relationships in a sample, in comparison to taxonomic marker gene‐based approaches (metabarcoding). However, little is known about the factors which influence metagenomics data from eukaryotic communities, such as differences among organism groups, the properties of reference genomes, and genome assemblies. We evaluated how shotgun metagenomics records composition and biomass in artificial soil invertebrate communities at different sequencing efforts. We generated mock communities of controlled biomass ratios from 28 species from all major soil mesofauna groups: mites, springtails, nematodes, tardigrades, and potworms. We shotgun sequenced these communities and taxonomically assigned them with a database of over 270 soil invertebrate genomes. We recovered over 95% of the species, and observed relatively high false‐positive detection rates. We found strong differences in reads assigned to different taxa, with some groups (e.g., springtails) consistently attracting more hits than others (e.g., enchytraeids). Original biomass could be predicted from read counts after considering these taxon‐specific differences. Species with larger genomes, and with more complete assemblies, consistently attracted more reads than species with smaller genomes. The GC content of the genome assemblies had no effect on the biomass–read relationships. Results were similar among different sequencing efforts. The results show considerable differences in taxon recovery and taxon specificity of biomass recovery from metagenomic sequence data. The properties of reference genomes and genome assemblies also influence biomass recovery, and they should be considered in metagenomic studies of eukaryotes. We show that low‐ and high‐sequencing efforts yield similar results, suggesting high cost‐efficiency of metagenomics for eukaryotic communities. We provide a brief roadmap for investigating factors which influence metagenomics‐based eukaryotic community reconstructions. Understanding these factors is timely as accessibility of DNA sequencing and momentum for reference genomes projects show a future where the taxonomic assignment of DNA from any community sample becomes a reality.
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spelling pubmed-91705942022-07-01 Shotgun metagenomics of soil invertebrate communities reflects taxonomy, biomass, and reference genome properties Schmidt, Alexandra Schneider, Clément Decker, Peter Hohberg, Karin Römbke, Jörg Lehmitz, Ricarda Bálint, Miklós Ecol Evol Research Articles Metagenomics – shotgun sequencing of all DNA fragments from a community DNA extract – is routinely used to describe the composition, structure, and function of microorganism communities. Advances in DNA sequencing and the availability of genome databases increasingly allow the use of shotgun metagenomics on eukaryotic communities. Metagenomics offers major advances in the recovery of biomass relationships in a sample, in comparison to taxonomic marker gene‐based approaches (metabarcoding). However, little is known about the factors which influence metagenomics data from eukaryotic communities, such as differences among organism groups, the properties of reference genomes, and genome assemblies. We evaluated how shotgun metagenomics records composition and biomass in artificial soil invertebrate communities at different sequencing efforts. We generated mock communities of controlled biomass ratios from 28 species from all major soil mesofauna groups: mites, springtails, nematodes, tardigrades, and potworms. We shotgun sequenced these communities and taxonomically assigned them with a database of over 270 soil invertebrate genomes. We recovered over 95% of the species, and observed relatively high false‐positive detection rates. We found strong differences in reads assigned to different taxa, with some groups (e.g., springtails) consistently attracting more hits than others (e.g., enchytraeids). Original biomass could be predicted from read counts after considering these taxon‐specific differences. Species with larger genomes, and with more complete assemblies, consistently attracted more reads than species with smaller genomes. The GC content of the genome assemblies had no effect on the biomass–read relationships. Results were similar among different sequencing efforts. The results show considerable differences in taxon recovery and taxon specificity of biomass recovery from metagenomic sequence data. The properties of reference genomes and genome assemblies also influence biomass recovery, and they should be considered in metagenomic studies of eukaryotes. We show that low‐ and high‐sequencing efforts yield similar results, suggesting high cost‐efficiency of metagenomics for eukaryotic communities. We provide a brief roadmap for investigating factors which influence metagenomics‐based eukaryotic community reconstructions. Understanding these factors is timely as accessibility of DNA sequencing and momentum for reference genomes projects show a future where the taxonomic assignment of DNA from any community sample becomes a reality. John Wiley and Sons Inc. 2022-06-06 /pmc/articles/PMC9170594/ /pubmed/35784064 http://dx.doi.org/10.1002/ece3.8991 Text en © 2022 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Schmidt, Alexandra
Schneider, Clément
Decker, Peter
Hohberg, Karin
Römbke, Jörg
Lehmitz, Ricarda
Bálint, Miklós
Shotgun metagenomics of soil invertebrate communities reflects taxonomy, biomass, and reference genome properties
title Shotgun metagenomics of soil invertebrate communities reflects taxonomy, biomass, and reference genome properties
title_full Shotgun metagenomics of soil invertebrate communities reflects taxonomy, biomass, and reference genome properties
title_fullStr Shotgun metagenomics of soil invertebrate communities reflects taxonomy, biomass, and reference genome properties
title_full_unstemmed Shotgun metagenomics of soil invertebrate communities reflects taxonomy, biomass, and reference genome properties
title_short Shotgun metagenomics of soil invertebrate communities reflects taxonomy, biomass, and reference genome properties
title_sort shotgun metagenomics of soil invertebrate communities reflects taxonomy, biomass, and reference genome properties
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9170594/
https://www.ncbi.nlm.nih.gov/pubmed/35784064
http://dx.doi.org/10.1002/ece3.8991
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