Seasonal Ely Copper Mine Superfund site shotgun metagenomic and metatranscriptomic data analysis

High throughput sequencing data collected from acid rock drainage (ARD) communities can reveal the active taxonomic and functional diversity of these extreme environments, which can be exploited for bioremediation, pharmaceutical, and industrial applications. Here, we report a seasonal comparison of...

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Main Authors: Lesley-Ann Giddings, George Chlipala, Heather Driscoll, Kieran Bhave, Kevin Kunstman, Stefan Green, Katherine Morillo, Holly Peterson, Mark Maienschein-Cline
Format: Article
Language:English
Published: Elsevier 2020-10-01
Series:Data in Brief
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340920311768
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spelling doaj-e0a787bb6fa2489899b62ffcb0ab33932020-11-25T02:42:07ZengElsevierData in Brief2352-34092020-10-0132106282Seasonal Ely Copper Mine Superfund site shotgun metagenomic and metatranscriptomic data analysisLesley-Ann Giddings0George Chlipala1Heather Driscoll2Kieran Bhave3Kevin Kunstman4Stefan Green5Katherine Morillo6Holly Peterson7Mark Maienschein-Cline8Department of Chemistry & Biochemistry, Middlebury College, Middlebury, VT 05753, USA; Department of Chemistry, Smith College, Northampton, MA 01063, USA; Corresponding author at: Department of Chemistry, Smith College, Northampton, MA, 01063, USA.Research Resources Center, University of Illinois at Chicago, Chicago, IL 60612, USAVermont Genetics Network, Department of Biology, Norwich University, Northfield, VT 05663, USADepartment of Chemistry & Biochemistry, Middlebury College, Middlebury, VT 05753, USAResearch Resources Center, University of Illinois at Chicago, Chicago, IL 60612, USAResearch Resources Center, University of Illinois at Chicago, Chicago, IL 60612, USADepartment of Chemistry & Biochemistry, Middlebury College, Middlebury, VT 05753, USADepartment of Geology, Guilford College, Greensboro, NC 27403, USAResearch Resources Center, University of Illinois at Chicago, Chicago, IL 60612, USAHigh throughput sequencing data collected from acid rock drainage (ARD) communities can reveal the active taxonomic and functional diversity of these extreme environments, which can be exploited for bioremediation, pharmaceutical, and industrial applications. Here, we report a seasonal comparison of a microbiome and transcriptome in Ely Brook (EB-90M), a confluence of clean water and upstream tributaries that drains the Ely Copper Mine Superfund site in Vershire, VT, USA. Nucleic acids were extracted from EB-90M water and sediment followed by shotgun sequencing using the Illumina NextSeq platform. Approximately 575,933 contigs with a total length of 1.54 Gbp were generated. Contigs of at least a size of 3264 (N50) or greater represented 50% of the sequences and the longest contig was 488,568 bp in length. Using Centrifuge against the NCBI “nt” database 141 phyla, including candidate phyla, were detected. Roughly 380,000 contigs were assembled and ∼1,000,000 DNA and ∼550,000 cDNA sequences were identified and functionally annotated using the Prokka pipeline. Most expressed KEGG-annotated microbial genes were involved in amino acid metabolism and several KEGG pathways were differentially expressed between seasons. Biosynthetic gene clusters involved in secondary metabolism as well as metal- and antibiotic-resistance genes were annotated, some of which were differentially expressed, colocalized, and coexpressed. These data can be used to show how ecological stimuli, such as seasonal variations and metal concentrations, affect the ARD microbiome and select taxa to produce novel natural products. The data reported herein is supporting information for the research article “Characterization of an acid rock drainage microbiome and transcriptome at the Ely Copper Mine Superfund site” by Giddings et al. [1].http://www.sciencedirect.com/science/article/pii/S2352340920311768Acid rock drainageMetagenomeMetatranscriptomeIllumina NextSeqDifferential analysis
collection DOAJ
language English
format Article
sources DOAJ
author Lesley-Ann Giddings
George Chlipala
Heather Driscoll
Kieran Bhave
Kevin Kunstman
Stefan Green
Katherine Morillo
Holly Peterson
Mark Maienschein-Cline
spellingShingle Lesley-Ann Giddings
George Chlipala
Heather Driscoll
Kieran Bhave
Kevin Kunstman
Stefan Green
Katherine Morillo
Holly Peterson
Mark Maienschein-Cline
Seasonal Ely Copper Mine Superfund site shotgun metagenomic and metatranscriptomic data analysis
Data in Brief
Acid rock drainage
Metagenome
Metatranscriptome
Illumina NextSeq
Differential analysis
author_facet Lesley-Ann Giddings
George Chlipala
Heather Driscoll
Kieran Bhave
Kevin Kunstman
Stefan Green
Katherine Morillo
Holly Peterson
Mark Maienschein-Cline
author_sort Lesley-Ann Giddings
title Seasonal Ely Copper Mine Superfund site shotgun metagenomic and metatranscriptomic data analysis
title_short Seasonal Ely Copper Mine Superfund site shotgun metagenomic and metatranscriptomic data analysis
title_full Seasonal Ely Copper Mine Superfund site shotgun metagenomic and metatranscriptomic data analysis
title_fullStr Seasonal Ely Copper Mine Superfund site shotgun metagenomic and metatranscriptomic data analysis
title_full_unstemmed Seasonal Ely Copper Mine Superfund site shotgun metagenomic and metatranscriptomic data analysis
title_sort seasonal ely copper mine superfund site shotgun metagenomic and metatranscriptomic data analysis
publisher Elsevier
series Data in Brief
issn 2352-3409
publishDate 2020-10-01
description High throughput sequencing data collected from acid rock drainage (ARD) communities can reveal the active taxonomic and functional diversity of these extreme environments, which can be exploited for bioremediation, pharmaceutical, and industrial applications. Here, we report a seasonal comparison of a microbiome and transcriptome in Ely Brook (EB-90M), a confluence of clean water and upstream tributaries that drains the Ely Copper Mine Superfund site in Vershire, VT, USA. Nucleic acids were extracted from EB-90M water and sediment followed by shotgun sequencing using the Illumina NextSeq platform. Approximately 575,933 contigs with a total length of 1.54 Gbp were generated. Contigs of at least a size of 3264 (N50) or greater represented 50% of the sequences and the longest contig was 488,568 bp in length. Using Centrifuge against the NCBI “nt” database 141 phyla, including candidate phyla, were detected. Roughly 380,000 contigs were assembled and ∼1,000,000 DNA and ∼550,000 cDNA sequences were identified and functionally annotated using the Prokka pipeline. Most expressed KEGG-annotated microbial genes were involved in amino acid metabolism and several KEGG pathways were differentially expressed between seasons. Biosynthetic gene clusters involved in secondary metabolism as well as metal- and antibiotic-resistance genes were annotated, some of which were differentially expressed, colocalized, and coexpressed. These data can be used to show how ecological stimuli, such as seasonal variations and metal concentrations, affect the ARD microbiome and select taxa to produce novel natural products. The data reported herein is supporting information for the research article “Characterization of an acid rock drainage microbiome and transcriptome at the Ely Copper Mine Superfund site” by Giddings et al. [1].
topic Acid rock drainage
Metagenome
Metatranscriptome
Illumina NextSeq
Differential analysis
url http://www.sciencedirect.com/science/article/pii/S2352340920311768
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