Journal
METABOLOMICS
Volume 13, Issue 4, Pages -Publisher
SPRINGER
DOI: 10.1007/s11306-017-1182-2
Keywords
Fish; Female maturation; Plasma; Metabolomics; UPLC-MS/MS
Categories
Funding
- National Natural Science Foundation of China [31472271]
- Modern Agriculture Industry Technology System Construction Projects of China entitled-Staple Freshwater Fishes Industry Technology System [CARS-46-05]
- Fundamental Research Funds for the Central Universities [2662015PY088]
- Wuhan Youth Science and Technology Plan [2016070204010143]
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Introduction In some fish species, it is difficult to distinguish mature females from immature females or females that have already spawned via appearance or other convenient methods. Few studies have investigated plasma metabolite profiling for the prediction of fish maturation. Objectives We investigated the comprehensive metabolic profiles of plasma among immature females and mature females ready to spawn, as well as already spawned breeders of blunt snout bream (Megalobrama amblycephala). The purpose of this study was to screen out potential bio-markers for sexually mature female M. amblycephala compared to immature female individuals and already spawned breeders. Methods Three groups were set up in this study, which included 1-year-old immature females, 2-year-old sexually mature females ready to spawn and successfully spawned females of M. amblycephala. Plasma samples were collected to investigate comprehensive metabolic profiles through UPLC-MS/MS based on a metabolomics analysis method. Results According to multivariate and univariate statistical analysis, plasma metabolite profiles of the three groups were clearly separated. The differential plasma metabolites from three hormone related pathways including the GnRH signaling pathway, steroid hormone biosynthesis and steroid biosynthesis, were analyzed. A total of 29 metabolites were identified as differential biomarkers associated with the female maturation status. Conclusion The identified potential biomarkers could be useful in separating mature M. amblycephala from immature individuals or ovulation-induced female individuals, which would allow for more effective artificial breeding. The results may contribute to a better understanding of the maturation mechanisms of fish in the aspect of metabolomics.
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