Abstract
Differentially expressed genes in males and females of vertebrate species generally have been investigated in gonads and, to a lesser extent, in other tissues. Therefore, we attempted to identify sexually dimorphic gene expression in the brains of adult males and females of Leporinus macrocephalus, a gonochoristic fish species that presents a ZZ/ZW sex determination system, throughout a comparative analysis using differential display reverse transcriptase-PCR and real-time PCR. Four cDNA fragments were characterized, representing candidate genes with differential expression between the samples. Two of these fragments presented no significant identity with previously reported gene sequences. The other two fragments, isolated from male specimens, were associated to the gene that codes for the protein APBA2 (amyloid beta (A4) precursor protein-binding, family A, member 2) and to the Rab 37 gene, a member of the Ras oncogene family. The overexpression of these genes has been associated to a greater production of the β-amyloid protein which, in turns, is the major factor that leads to Alzheimer’s disease, and to the development of brain-tumors, respectively. Quantitative RT-PCR analyses revealed a higher Apba2 gene expression in males, thus validating the previous data on differential display. L. macrocephalus may represent an interesting animal model to the understanding of the function of several vertebrate genes, including those involved in neurodegenerative and cancer diseases.
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The authors thank Dr. Maeli Dal Pai Silva (IBB, UNESP), Dr. João Pessoa (IBB, UNESP), and Dr. Débora Colombi (IBB, UNESP) for technical assistance on the Real Time analyses. This work was supported by grants from FAPESP (Fundação da Amparo à Pesquisa do Estado de São Paulo) and CNPq (Conselho Nacional de Desenvolvimento Científico e Tecnológico).
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Alves-Costa, F.A., Wasko, A.P. Identification of sexually dimorphic gene expression in brain tissue of the fish Leporinus macrocephalus through mRNA differential display and real time PCR analyses. Genetica 138, 321–331 (2010). https://doi.org/10.1007/s10709-009-9421-8
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DOI: https://doi.org/10.1007/s10709-009-9421-8