Multi-drug resistant bacteria in agricultural soil
This dataset identified bacteria able to grow in the presence of several Antibiotics in a British agricultural soil, by DNA stable isotope probing (SIP). The dataset was created with samples of the 'heavy' and 'light' fractions of the treatments and also from control soils. The 16S rRNA genes from these samples were amplified and sequenced by barcoded Illumina sequencing. Polymerase chain reaction (PCR) primers 515FB (GTGYCAGCMGCCGCGGTAA) and 806RB (GGACTACNVGGGTWTCTAAT) from the Earth Microbiome project targeting the V4 region of the 16S rRNA gene (approximately 250 nucleotides) were used. Library preparation and sequencing was performed at the National Oceanographic Centre (NOC) of the University of Southampton, UK, following methodologies described by Caporaso et al. (2012). Samples were pooled in an equimolar concentration and sequenced on separate runs for MiSeq using a 2 bp x 300 bp paired end protocol.
dataset
https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA428598
name: Access the data
description: Dataset is held by NCBI-SRA.
function: information
https://catalogue.ceh.ac.uk/id/595bca1f-9299-45d0-a224-a28ed136ea91
eng
biota
1-H: gradient 1 - DNA-fresh soil-1H, 18H2O, Antibiotics, day-2, heavy fraction
2-H: gradient 2 - DNA-fresh soil-2H, 18H2O, Antibiotics, day-2, heavy fraction
3-H: gradient 3 - DNA-fresh soil-3H, 18H2O, Antibiotics, day-2, heavy fraction
1-L: gradient 1 - DNA-fresh soil-1L, 18H2O, Antibiotics, day-2, light fraction
2-L: gradient 2 - DNA-fresh soil-2L, 18H2O, Antibiotics, day-2, light fraction
3-L: gradient 3 - DNA-fresh soil-3L, 18H2O, Antibiotics, day-2, light fraction
4-H: gradient 4 - DNA-fresh soil-4H, H2O, Antibiotics, day-4, heavy fraction
5-H: gradient 5 - DNA-fresh soil-5H, H2O, Antibiotics, day-4, heavy fraction
6-H: gradient 6 - DNA-fresh soil-6H, H2O, Antibiotics, day-4, heavy fraction
4-L: gradient 4 - DNA-fresh soil-4L, H2O, Antibiotics, day-4, light fraction
5-L: gradient 5 - DNA-fresh soil-5L, H2O, Antibiotics, day-4, light fraction
6-L: gradient 6 - DNA-fresh soil-6L, H2O, Antibiotics, day-4, light fraction
7-H: gradient 7 - DNA-fresh soil-7H, H2O, Control, day-4, heavy fraction
8-H: gradient 8 - DNA-fresh soil-8H, H2O, Control, day-4, heavy fraction
9-H: gradient 9 - DNA-fresh soil-9H, H2O, Control, day-4, heavy fraction
7-L: gradient 7 - DNA-fresh soil-7L, H2O, Control, day-4, light fraction
8-L: gradient 8 - DNA-fresh soil-8L, H2O, Control, day-4, light fraction
9-L: gradient 9 - DNA-fresh soil-9L, H2O, Control, day-4, light fraction
10-H: gradient 10 - DNA-fresh soil-10H, 18H2O, Antibiotics, day-4, heavy fraction
11-H: gradient 11 - DNA-fresh soil-11H, 18H2O, Antibiotics, day-4, heavy fraction
12-H: gradient 12 - DNA-fresh soil-12H, 18H2O, Antibiotics, day-4, heavy fraction
10-L: gradient 10 - DNA-fresh soil-10L, 18H2O, Antibiotics, day-4, light fraction
11-L: gradient 11 - DNA-fresh soil-11L, 18H2O, Antibiotics, day-4, light fraction
12-L: gradient 12 - DNA-fresh soil-12L, 18H2O, Antibiotics, day-4, light fraction
13-H: gradient 13 - DNA-fresh soil-13H, 18H2O, Control, day-4, heavy fraction
14-H: gradient 14 - DNA-fresh soil-14H, 18H2O, Control, day-4, heavy fraction
15-H: gradient 15 - DNA-fresh soil-15H, 18H2O, Control, day-4, heavy fraction
13-L: gradient 13 - DNA-fresh soil-13L, 18H2O, Control, day-4, light fraction
14-L: gradient 14 - DNA-fresh soil-14L, 18H2O, Control, day-4, light fraction
15-L: gradient 15 - DNA-fresh soil-15L, 18H2O, Control, day-4, light fraction
O-1: DNA-fresh soil-O1 - Original soil
O-2: DNA-fresh soil-O2 - Original soil
O-3: DNA-fresh soil-O3 - Original soil
-1.43
-1.42
50.97
50.96
2016-10-01
2016-10-31
publication
2018-01-05
notPlanned
The first step was quality filtering of the sequences using the tool cutadapt (Martin, 2011). Forward and reverse reads were merged by using the usearch fastq_mergepairs command (Edgar, 2013). Downstream processing was performed by using UPARSE (Edgar, 2013) and UCHIME pipelines (Edgar et al., 2011). Briefly, sequences shorter than 250 bp were discarded, singletons were retained, and operational taxonomic units (OTUs) were defined at a sequence identity level of 97%.
fastq
unknown
No restrictions
University of Southampton
m.t.hernandez-garcia@soton.ac.uk
pointOfContact
EIDC
mediator
Environmental Information Data Centre
Lancaster Environment Centre, Library Avenue, Bailrigg
Lancaster
LA1 4AP
UK
pointOfContact
2018-09-11T15:06:02