Assessing the health of grass shrimp (Palaeomonetes pugio) exposed to natural and anthropogenic stressors:: A molecular biomarker system

被引:122
作者
Downs, CA
Fauth, JE
Woodley, CM
机构
[1] Envirtue Biotechnol Inc, Harrisonburg, VA 22801 USA
[2] US NOAA, Natl Ocean Serv, Ctr Coastal Environm Hlth & Biomol Res, Marine Biotechnol Program, Charleston, SC 29412 USA
[3] Coll Univ Charleston, Dept Biol, Charleston, SC 29424 USA
关键词
shrimp; environmental stress; health assessment; molecular biomarkers;
D O I
10.1007/s10126-001-0008-3
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
We developed a molecular biomarker system (MBS) to assess the physiological status of Palaomenetes pugio (grass shrimp) challenged with exposure to heat stress, cadmium, atrazine, and the water-accommodating fraction of either diesel fuel or bunker fuel No. 2. The MBS assayed 9 specific cellular parameters of shrimp that are indicative of a nonstressed or stressed condition: heat-shock protein 60, heat-shock protein 70, alpha beta -crystallin homologue, lipid peroxide, total glutathione level, ubiquitin, mitochondrial manganese superoxide dismutase, metallothionein, and cytochrome P-450 2E homologue. Using these 9 parameters, the MBS can distinguish between the responses to each stressor, and to the nonstressed control conditions. The MBS was able to determine the structural integrity of the cell as defined by protein turnover, protein chaperoning, and lipid composition via lipid peroxide levels, and the status of key metabolic processes such as cytoskeletal integrity and glutathione redox potential. This technology aids in the accurate diagnosis of the health of shrimp because the physiological significance of changes of each parameter is well known. This technology is particularly relevant for environmental monitoring because grass shrimp are used as key indicator species in many estuarine ecosystems. Finally, this system is easy to implement, precise, and can be quickly adapted to an automated high-throughput system for mass sample analysis.
引用
收藏
页码:380 / 397
页数:18
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