Cargando…
The National Ecological Observatory Network’s soil metagenomes: assembly and basic analysis
The largest dataset of soil metagenomes has recently been released by the National Ecological Observatory Network (NEON), which performs annual shotgun sequencing of soils at 47 sites across the United States. NEON serves as a valuable educational resource, thanks to its open data and programming tu...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000 Research Limited
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9178279/ https://www.ncbi.nlm.nih.gov/pubmed/35707452 http://dx.doi.org/10.12688/f1000research.51494.2 |
_version_ | 1784723026465521664 |
---|---|
author | Werbin, Zoey R. Hackos, Briana Lopez-Nava, Jorge Dietze, Michael C. Bhatnagar, Jennifer M. |
author_facet | Werbin, Zoey R. Hackos, Briana Lopez-Nava, Jorge Dietze, Michael C. Bhatnagar, Jennifer M. |
author_sort | Werbin, Zoey R. |
collection | PubMed |
description | The largest dataset of soil metagenomes has recently been released by the National Ecological Observatory Network (NEON), which performs annual shotgun sequencing of soils at 47 sites across the United States. NEON serves as a valuable educational resource, thanks to its open data and programming tutorials, but there is currently no introductory tutorial for accessing and analyzing the soil shotgun metagenomic dataset. Here, we describe methods for processing raw soil metagenome sequencing reads using a bioinformatics pipeline tailored to the high complexity and diversity of the soil microbiome. We describe the rationale, necessary resources, and implementation of steps such as cleaning raw reads, taxonomic classification, assembly into contigs or genomes, annotation of predicted genes using custom protein databases, and exporting data for downstream analysis. The workflow presented here aims to increase the accessibility of NEON’s shotgun metagenome data, which can provide important clues about soil microbial communities and their ecological roles. |
format | Online Article Text |
id | pubmed-9178279 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | F1000 Research Limited |
record_format | MEDLINE/PubMed |
spelling | pubmed-91782792022-06-14 The National Ecological Observatory Network’s soil metagenomes: assembly and basic analysis Werbin, Zoey R. Hackos, Briana Lopez-Nava, Jorge Dietze, Michael C. Bhatnagar, Jennifer M. F1000Res Method Article The largest dataset of soil metagenomes has recently been released by the National Ecological Observatory Network (NEON), which performs annual shotgun sequencing of soils at 47 sites across the United States. NEON serves as a valuable educational resource, thanks to its open data and programming tutorials, but there is currently no introductory tutorial for accessing and analyzing the soil shotgun metagenomic dataset. Here, we describe methods for processing raw soil metagenome sequencing reads using a bioinformatics pipeline tailored to the high complexity and diversity of the soil microbiome. We describe the rationale, necessary resources, and implementation of steps such as cleaning raw reads, taxonomic classification, assembly into contigs or genomes, annotation of predicted genes using custom protein databases, and exporting data for downstream analysis. The workflow presented here aims to increase the accessibility of NEON’s shotgun metagenome data, which can provide important clues about soil microbial communities and their ecological roles. F1000 Research Limited 2022-03-23 /pmc/articles/PMC9178279/ /pubmed/35707452 http://dx.doi.org/10.12688/f1000research.51494.2 Text en Copyright: © 2022 Werbin ZR et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Method Article Werbin, Zoey R. Hackos, Briana Lopez-Nava, Jorge Dietze, Michael C. Bhatnagar, Jennifer M. The National Ecological Observatory Network’s soil metagenomes: assembly and basic analysis |
title | The National Ecological Observatory Network’s soil metagenomes: assembly and basic analysis |
title_full | The National Ecological Observatory Network’s soil metagenomes: assembly and basic analysis |
title_fullStr | The National Ecological Observatory Network’s soil metagenomes: assembly and basic analysis |
title_full_unstemmed | The National Ecological Observatory Network’s soil metagenomes: assembly and basic analysis |
title_short | The National Ecological Observatory Network’s soil metagenomes: assembly and basic analysis |
title_sort | national ecological observatory network’s soil metagenomes: assembly and basic analysis |
topic | Method Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9178279/ https://www.ncbi.nlm.nih.gov/pubmed/35707452 http://dx.doi.org/10.12688/f1000research.51494.2 |
work_keys_str_mv | AT werbinzoeyr thenationalecologicalobservatorynetworkssoilmetagenomesassemblyandbasicanalysis AT hackosbriana thenationalecologicalobservatorynetworkssoilmetagenomesassemblyandbasicanalysis AT lopeznavajorge thenationalecologicalobservatorynetworkssoilmetagenomesassemblyandbasicanalysis AT dietzemichaelc thenationalecologicalobservatorynetworkssoilmetagenomesassemblyandbasicanalysis AT bhatnagarjenniferm thenationalecologicalobservatorynetworkssoilmetagenomesassemblyandbasicanalysis AT werbinzoeyr nationalecologicalobservatorynetworkssoilmetagenomesassemblyandbasicanalysis AT hackosbriana nationalecologicalobservatorynetworkssoilmetagenomesassemblyandbasicanalysis AT lopeznavajorge nationalecologicalobservatorynetworkssoilmetagenomesassemblyandbasicanalysis AT dietzemichaelc nationalecologicalobservatorynetworkssoilmetagenomesassemblyandbasicanalysis AT bhatnagarjenniferm nationalecologicalobservatorynetworkssoilmetagenomesassemblyandbasicanalysis |