A metabolomic approach to health assessment in the whale shark, Rhincodon typus

Georgia Aquarium Research Center, Georgia Aquarium, Atlanta, GA, United States
School of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, GA, United States
Georgia Institute of Technology, Atlanta, GA, United States
School of Biosciences, University of Birmingham, Birmingham, UK
NMR Center, Georgia Institute of Technology, Atlanta, GA, United States
University of Birmingham, Birmingham, UK
School of Biology, Georgia Institute of Technology, Atlanta, GA, United States
Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, GA, United States
DOI
10.7287/peerj.preprints.73v1
Subject Areas
Aquaculture, Fisheries and Fish Science, Biochemistry, Bioinformatics, Marine Biology
Keywords
biomarkers, metabolomics, homarine, Rhincodon, whale sharks, aquarium, biochemistry
Copyright
© 2013 Dove et al.
Licence
This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Cite this article
Dove AD, Leisen J, Zhou M, Byrne J, Webb H, Gelbaum L, Viant M, Kubanek J, Fernandez F. 2013. A metabolomic approach to health assessment in the whale shark, Rhincodon typus. PeerJ PrePrints 1:e73v1

Abstract

Background. No studies have evaluated the biochemistry of whale sharks. The illness of two animals in the collection at Georgia Aquarium provided an opportunity to evaluate the blood chemistry of healthy and unhealthy animals in a search for biomarkers of health in this species. Methods. In the absence of existing data on whale shark biochemistry, we used a discovery based approach called metabolomics, wherein the compounds (and sometimes their concentrations) in a fluid sample can be determined using proton NMR spectroscopy and mass spectrometry. Samples from both healthy and unhealthy whale sharks were compared by both methods. NMR data were analysed by principal components analysis whereas the MS data were evaluated for presence/absence frequency for each analyte Results. PCA of proton NMR data could clearly discriminant between samples from healthy and unhealthy whale sharks. Analysis of PC loadings identified a shift region that was driving this discrimination and subsequent experiments determined that this region consisted of homarine, or n-methyl picolinic acid. Mass spectrometric data revealed 26 compounds that varied meaningfully, implying that they may be biomarkers of health in this species. A set of keto-acids was more frequently encountered in unhealthy animals, which was consistent with their primary clinical presentation (inappetance) Conclusion. Metabolomic approaches proved a powerful way to explore biochemistry of whale sharks, discriminating healthy from unhealthy and offering a selection of potential biomarker compounds for use in future studies of this species. The obvious next step is to attempt to obtain samples from field populations so that

Author Comment

This abstract was submitted as part of the 3rd International Whale Shark Conference, which took place in Atlanta USA, October 6-10, 2013