Detection of Anti-Müllerian Hormone (AMH) mRNA in Serum and Ovarian Tissue of Local Indonesian Cattle Using EvaGreen-based RT–qPCR

Anti-Müllerian hormone (AMH) has been identified as a potential biomarker for assessing ovarian reserve and reproductive capacity in cattle, with high heritability and relatively stable expression. However, studies detecting AMH mRNA in bovine serum remain scarce due to the matrix’s inherently low RNA yield, susceptibility to degradation, and potential presence of PCR inhibitors. This study provides an exploratory validation of AMH mRNA detection in serum — a challenging matrix compared with ovarian tissue — using EvaGreen-based reverse transcriptase–quantitative PCR (RT–qPCR). Specific primers for the AMH and β-actin genes were designed in silico and validated through melting curve analysis and linearity testing. The results showed high amplification efficiency (AMH: 100.2%, R² = 0.994; β-actin: 109.1%, R² = 0.996), with specific amplification of both targets. AMH detection in serum samples was successful in some samples, while the β-actin gene was consistently amplified as a reference gene. Despite the low RNA quality from serum and the presence of organic contaminants, the method demonstrated its feasibility for detecting AMH transcripts in a minimally invasive manner. Physiologically, AMH levels positively correlate with antral follicle count, superovulation success, and embryo quality, and are sensitive to heat stress and other environmental factors. These findings provide a foundational basis for developing molecular diagnostic approaches based on AMH gene expression in cattle reproductive management programs and support the future development of efficient, accurate, and context-specific biomolecular-assisted selection technologies for tropical livestock systems.

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Publication Details

Journal
Jurnal Medik Veteriner
Published
2025-10-01
DOI
https://doi.org/10.20473/jmv.vol8.iss2.2025.382-397
Primary Topic
Genetic and phenotypic traits in livestock
Type
article
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article

Detection of Anti-Müllerian Hormone (AMH) mRNA in Serum and Ovarian Tissue of Local Indonesian Cattle Using EvaGreen-based RT–qPCR

Sri Pantja Madyawati, Tri Wahyu Suprayogi, Heni Puspitasari, Erma Safitri et al.
Jurnal Medik Veteriner
Genetic and phenotypic traits in livestock
article

Detection of Anti-Müllerian Hormone (AMH) mRNA in Serum and Ovarian Tissue of Local Indonesian Cattle Using EvaGreen-based RT–qPCR

Sri Pantja Madyawati, Tri Wahyu Suprayogi, Heni Puspitasari, Erma Safitri, Pudji Srianto, Epy Muhammad Luqman, Supriyadi Supriyadi, Tita Damayanti Lestari, Dicky Mohammad Dikman, Seagames Waluyo
article en

Abstract

Anti-Müllerian hormone (AMH) has been identified as a potential biomarker for assessing ovarian reserve and reproductive capacity in cattle, with high heritability and relatively stable expression. However, studies detecting AMH mRNA in bovine serum remain scarce due to the matrix’s inherently low RNA yield, susceptibility to degradation, and potential presence of PCR inhibitors. This study provides an exploratory validation of AMH mRNA detection in serum — a challenging matrix compared with ovarian tissue — using EvaGreen-based reverse transcriptase–quantitative PCR (RT–qPCR). Specific primers for the AMH and β-actin genes were designed in silico and validated through melting curve analysis and linearity testing. The results showed high amplification efficiency (AMH: 100.2%, R² = 0.994; β-actin: 109.1%, R² = 0.996), with specific amplification of both targets. AMH detection in serum samples was successful in some samples, while the β-actin gene was consistently amplified as a reference gene. Despite the low RNA quality from serum and the presence of organic contaminants, the method demonstrated its feasibility for detecting AMH transcripts in a minimally invasive manner. Physiologically, AMH levels positively correlate with antral follicle count, superovulation success, and embryo quality, and are sensitive to heat stress and other environmental factors. These findings provide a foundational basis for developing molecular diagnostic approaches based on AMH gene expression in cattle reproductive management programs and support the future development of efficient, accurate, and context-specific biomolecular-assisted selection technologies for tropical livestock systems.

Jurnal Medik VeterinerVol. 8(2)
Universitas Airlangga (ID), State University of Jakarta (ID), Easterseals (US)
Universitas Airlangga
Openalex Percentile: Top 71%
Genetic and phenotypic traits in livestock
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