Journal of Aquatic Ecosystem Stress and Recovery

, Volume 6, Issue 1, pp 75–86

The use of histopathological indicators to evaluate contaminant-related stress in fish

Authors

  • Julia Schwaiger
    • Laboratory for Fish Pathology
  • Rüdiger Wanke
    • Institute of Veterinary PathologyUniversity of Munich
  • Stefan Adam
    • Dept. Physiological EcologyZoological Institute, University of Tübingen
  • Michael Pawert
    • Dept. Physiological EcologyZoological Institute, University of Tübingen
  • Wolfgang Honnen
    • Applied and Environmental ChemistrySteinbeis-Transfer-Centre Reutlingen
  • Rita Triebskorn
    • Dept. Physiological EcologyZoological Institute, University of Tübingen
Article

DOI: 10.1023/A:1008212000208

Cite this article as:
Schwaiger, J., Wanke, R., Adam, S. et al. Journal of Aquatic Ecosystem Stress and Recovery (1997) 6: 75. doi:10.1023/A:1008212000208

Abstract

As a component of a large research program toevaluate the effects of contaminants on fish healthin the field, histopathological studies have beenconducted to help establish causal relationshipsbetween contaminant exposure and various biologicalresponses. Brown trout (Salmo trutta f. fario)and loach (Barbatula barbatula) were exposedto water diverted from polluted streams undersemi-field conditions at various times during theyear. The histopathological studies revealedseasonal differences in the types and severity oforgan lesions between fish of the two streams. Bothtoxicant-induced alterations and organ lesionsresulting from natural stressors (physicochemicaland limnological water parameters) and secondarystress effects of pollution (diseases) could bedetected. In evaluating the general health ofexperimental and control fish, the use ofhistopathological studies are recommended for makingmore reliable assessments of biochemical responsesin fish exposed to a variety of environmentalstressors. Stereological analysis providesquantitative data on pathological lesions whichhelps to establish correlation with other biomarkersthereby increasing the probability of identifyingcause (stressor) and effect (biomarker) relationships.

biomarkerenvironmental pollutionfish diseasehistopathologymorphometry

Copyright information

© Kluwer Academic Publishers 1997