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Evaluation of mitochondrial distribution in the in vitro maturation of bovine oocyte supplemented with different doses of oviduto glycoprotein 1 (OVGP1)

Grant number: 20/10777-6
Support Opportunities:Scholarships in Brazil - Scientific Initiation
Start date: November 01, 2020
End date: July 31, 2021
Field of knowledge:Agronomical Sciences - Veterinary Medicine - Animal Reproduction
Principal Investigator:Sheila Merlo Garcia Firetti
Grantee:Lorrayne Kerolyn dos Santos Teles
Host Institution: Faculdade de Ciências Agrárias. Universidade do Oeste Paulista (UNOESTE). Campus de Presidente Prudente. Presidente Prudente , SP, Brazil

Abstract

The development of alternatives to optimize the productivity of the herd is the current challenge for researchers. In vitro embryo production emerges as a main tool that requires viable and quality gametes to be successful. Therefore, this proposal aims to study the quality of in vitro maturation of oocytes with different dosages of supplementation of oviduct glycoprotein 1 (OVGP1), through the mitochondrial distribution during maturation, of oocytes from ovaries of female slaughterhouses, and to determine the supplementation dosage that indicates greater viability for the in vitro maturation procedure. Supplementation dosages for in vitro maturation of oocytes will be fetal bovine serum (T1 or control), bovine serum albumin (T2), 1 ng / ml OVGP1 (T3) and 10 ng / ml OVGP1 (T4), composing the experimental groups. Five repetitions will be performed, with (n = 75) oocytes recovered for each repetition, with 15 oocytes being evaluated before maturation and the rest will be subjected to maturation in vitro according to the experimental groups, totaling 60 oocytes matured per repetition. For the analysis of mitochondrial maturation, the oocytes will be denuded, stained with Mitotracker Red (CMXROs, M7512, Invitrogen) and individually evaluated under an epifluorescence microscope. The data will be submitted to the Shapiro-Wilk normality test and analyzed using the ANOVA or Chi-square test (X²) at a significance level of 5% according to the normality results. All analyzes will be performed using the computer program Statistical Analysis System for Windows (SAS Inst., Inc., Cary, NC). With this research, it is expected to obtain important results that will add the knowledge of the present study area and optimization of the PIVE technique.

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