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

Progress Code: completed 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 unimpa...

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Bibliographic Details
Other Authors: AADC (owner), AADC, DATA OFFICER (distributor), AADC, DATA OFFICER (custodian), AU/AADC > Australian Antarctic Data Centre, Australia (hasAssociationWith), Australian Antarctic Data Centre (publisher), Australian Antarctic Division (sponsor), BOWMAN, JOHN (hasPrincipalInvestigator), Bowman, J. and Powell, S. (originator), POWELL, SHANE (collaborator), POWELL, SHANE (hasPrincipalInvestigator), POWELL, SHANE (author)
Format: Dataset
Language:unknown
Published: Australian Ocean Data Network
Subjects:
biota
environment
oceans
EARTH SCIENCE &gt
HUMAN DIMENSIONS &gt
ENVIRONMENTAL IMPACTS &gt
CONTAMINANT LEVELS/SPILLS
OIL SPILLS
BIOLOGICAL CLASSIFICATION &gt
BACTERIA/ARCHAEA
BIOSPHERE &gt
ECOLOGICAL DYNAMICS &gt
COMMUNITY DYNAMICS &gt
COMMUNITY STRUCTURE
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.edu.au/molecular-comparison-bacterial-marine-sediment/2820780
Description
Summary:Progress Code: completed 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.

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