Record Display for the EPA National Library Catalog


OLS Field Name OLS Field Data
Main Title Deep-Sea Food Web Analysis Using Immunological Methods: Results of a Feasibility Study.
Author Feller, Robert J. ;
CORP Author South Carolina Univ., Columbia. Belle W. Baruch Inst. for Marine Biology and Coastal Research.;Office of Radiation Programs, Washington, DC.
Year Published 1981
Report Number ORP-CR-81-3;
Stock Number PB82-128000
Additional Subjects Food chains ; Immunology ; Radioactive isotopes ; Feasibility studies ; Oceans ; Water pollution ; Ocean waste disposal ; Radioactive waste disposal
Internet Access
Description Access URL
Library Call Number Additional Info Location Last
NTIS  PB82-128000 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. 06/23/1988
Collation 25p
Radioactive waste disposal sites used in the past have been found to be leaking low levels of radionuclides from containers placed on the sea bed. The potential exists for food chain transport of radionuclides from deep ocean regions to man, but the mechanisms by which such reverse transport upward can occur are largely unknown. When biological samples are analyzed, it is frequently found that their stomachs contain visually unidentifiable remains. Immunological gut analysis methods are useful in identifying such remains. The ability of antibodies to discriminate among proteins of different organisms depends on the degree to which a given antiserum cross-reacts with antigens from each organism. The ability of antisera to shallow water taxa to descriminate among deep-sea taxa was tested in hopes that these antisera could discriminate among higher taxonomic levels of deep-sea organisms. Preliminary tests using protein extracts of mid-water planktonic animals were successful and revealed high affinities among shallow-water and mid-water species of the same taxon. It is concluded that the immunological method may provide higher-order taxon information for predator-prey interactions among deep-sea organisms. This level of discrimination may provide data which could not be gathered using traditional methodologies.