ArticleScientific data2019
A metagenomic survey of soil microbial communities along a rehabilitation chronosequence after iron ore mining.
Article in Scientific data, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Genetic diversity of Actinidia spp. shapes the oomycete pattern associated with Kiwifruit Vine Decline Syndrome (KVDS).Scientific reports · 2023Article
- Acquiring Iron-Reducing Enrichment Cultures: Environments, Methods and Quality Assessments.Microorganisms · 2023Article
- synDNA-a Synthetic DNA Spike-in Method for Absolute Quantification of Shotgun Metagenomic Sequencing.mSystems · 2022Article
- De novo identification of microbial contaminants in low microbial biomass microbiomes with Squeegee.Nature communications · 2022Article
- Living Fungi in an Opencast Limestone Mine: Who Are They and What Can They Do?Journal of fungi (Basel, Switzerland) · 2022Article
- Using AnnoTree to Get More Assignments, Faster, in DIAMOND+MEGAN Microbiome Analysis.mSystems · 2022Article
- Exploring the Diversity and Aromatic Hydrocarbon Degrading Potential of Epiphytic Fungi on Hornbeams from Chronically Polluted Areas.Journal of fungi (Basel, Switzerland) · 2021Article
- Understanding the metabolome and metagenome as extended phenotypes: The next frontier in macroalgae domestication and improvement.Journal of the World Aquaculture Society · 2021Article
- Emerging priorities for microbial metagenome research.Bioresource technology reports · 2020Review
- Enzymatic Cleavage of 3'-Esterified Nucleotides Enables a Long, Continuous DNA Synthesis.Scientific reports · 2020Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Microorganisms are useful environmental indicators, able to deliver essential insights to processes regarding mine land rehabilitation. To compare microbial communities from a chronosequence of mine land rehabilitation to pre-disturbance levels from references sites covered by native vegetation, we sampled non-rehabilitated, rehabilitating and reference study sites from the Urucum Massif, Southwestern Brazil. From each study site, three composed soil samples were collected for chemical, physical, and metagenomics analysis. We used a paired-end library sequencing technology (NextSeq 500 Illumina); the reads were assembled using MEGAHIT. Coding DNA sequences (CDS) were identified using Kaiju in combination with non-redundant NCBI BLAST reference sequences containing archaea, bacteria, and viruses. Additionally, a functional classification was performed by EMG v2.3.2. Here, we provide the raw data and assembly (reads and contigs), followed by initial functional and taxonomic analysis, as a base-line for further studies of this kind. Further investigation is needed to fully understand the mechanisms of environmental rehabilitation in tropical regions, inspiring further researchers to explore this collection for hypothesis testing.
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