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Abstract
Omics technologies are increasingly being used to monitor organismal responses to environmental stressors. Previous studies have shown that species identification, an appreciation of life history traits, and organism phenotype (e.g., gender) are essential for the accurate interpretation of omics data from field samples. As marine mussels are increasingly being used in ecotoxicogenomics and monitoring, a technique to determine mussel gender throughout their annual reproductive cycle is urgently needed. This study examines four methods for sex determination in the two mussel species found in the United Kingdom, Mytilus edulis and Mytilus galloprovincialis, and their hybrid. Each of these methods-histology, a lipid-based assay, a new reverse transcriptase polymerase chain reaction (RT-PCR) assay, and nuclear magnetic resonance (NMR)-based metabolomics-initially was evaluated using sexually mature ("ripe") mussels whose gender was clearly distinguishable using histology. The methods subsequently were tested on spawned ("spent") mussels. For ripe animals, all techniques yielded high classification accuracies: histology, 100%; RT-PCR, 94.6%; lipid analysis, 90.6%; and metabolomics, 89.5%. The gender of spent animals, however, could not be determined by histology (0%) or lipid analysis (55.6%), but RT-PCR (100%) and metabolomics (88.9%) both proved to be successful. In addition, the RT-PCR, metabolomics, and lipid-based methods identified animals of mixed sex. Our findings highlight the application of a novel RT-PCR method as a robust technique for gender determination of ripe and spent mussels.
Original language | English |
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Pages (from-to) | 175-186 |
Number of pages | 12 |
Journal | Analytical Biochemistry |
Volume | 369 |
Issue number | 2 |
DOIs | |
Publication status | Published - 15 Oct 2007 |
Keywords
- Mytilus mussel
- sex
- environment
- RT-PCR
- gender
- NMR
- metabolomics
- histology
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Dive into the research topics of 'Comparison of histological, genetic, metabolomics, and lipid-based methods for sex determination in marine mussels'. Together they form a unique fingerprint.Projects
- 1 Finished
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Fellowship: Dr M.R. Viant: Development of a Predictive Biomarker Model for the Marine and Estuarine Environments using state-of-the-art NMR-based Metabonomics and Bioinformatic Techniques
Viant, M. (Principal Investigator)
Natural Environment Research Council
1/11/03 → 6/01/09
Project: Research Councils