Molecular comparison of bacterial diversity in uncontaminated and hydrocarbon contaminated marine sediment

Sediment samples which were originally collected as part of ASAC 868 (ASAC_868) are now being investigated using molecular microbial techniques as part of ASAC 1228 (ASAC_1228). Samples were collected in a nested survey design in two hydrocarbon impacted areas and two unimpacted areas. Denaturing gr...

Full description

Bibliographic Details
Other Authors: AADC (originator), AU/AADC > Australian Antarctic Data Centre, Australia (resourceProvider)
Format: Dataset
Language:unknown
Published: Australian Ocean Data Network
Subjects:
biota
environment
oceans
CONTAMINANT LEVELS/SPILLS
EARTH SCIENCE
HUMAN DIMENSIONS
ENVIRONMENTAL IMPACTS
OIL SPILLS
BACTERIA/ARCHAEA
BIOLOGICAL CLASSIFICATION
COMMUNITY STRUCTURE
BIOSPHERE
ECOLOGICAL DYNAMICS
COMMUNITY DYNAMICS
BACTERIAL DIVERSITY
BACTERIAL COMMUNITY STRUCTURE
DENATURING GRADIENT GEL ELECTROPHORESIS
HYDROCARBONS
NON-METRIC MULTI DIMENSIONAL SCALING PLOTS
SEDIMENT CORERS
FIELD SURVEYS
AMD/AU
CEOS
AMD
CONTINENT &gt
ANTARCTICA
ANTARCTICA &gt
Casey
Brown Bay
O'Brien Bay
Sparkes Bay
Newcomb Bay
GEOGRAPHIC REGION &gt
POLAR
Antarc*
Antarctica
Online Access:https://researchdata.ands.org.au/molecular-comparison-bacterial-marine-sediment/685320
https://data.aad.gov.au/metadata/records/Nested_DGGE
https://data.aad.gov.au/eds/2970/download
https://secure3.aad.gov.au/proms/public/projects/report_project_public.cfm?project_no=1228
http://data.aad.gov.au/aadc/metadata/citation.cfm?entry_id=Nested_DGGE
Description
Summary:Sediment samples which were originally collected as part of ASAC 868 (ASAC_868) are now being investigated using molecular microbial techniques as part of ASAC 1228 (ASAC_1228). Samples were collected in a nested survey design in two hydrocarbon impacted areas and two unimpacted areas. Denaturing gradient gel electrophoresis (DGGE) of a region of the 16S RNA gene was used to investigate the microbial community structure. Banding patterns obtained from the DGGE were transformed into a presence / absence matrix and analysed with a multivariate statistical approach. The download file contains an excel spreadsheet, a csv version of the data, plus a readme file.

Similar Items