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Comparison of histological, genetic, metabolomics, and lipid-based methods for sex determination in marine mussels

  • Adam Hines
  • , [No Value] [No Value]
  • , J Craft
  • , M Brown
  • , J Kennedy
  • , J Bignell
  • , G Stentiford
  • , Mark Viant

Research output: Contribution to journalArticle

51 Citations (Scopus)

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 languageEnglish
Pages (from-to)175-186
Number of pages12
JournalAnalytical Biochemistry
Volume369
Issue number2
DOIs
Publication statusPublished - 15 Oct 2007

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 14 - Life Below Water
    SDG 14 Life Below Water

Keywords

  • Mytilus mussel
  • sex
  • environment
  • RT-PCR
  • gender
  • NMR
  • metabolomics
  • histology

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