Selection of reference genes for normalizing gene expression data across seasons in spermatozoa of water buffalo (Bubalus bubalis)

• Published in: International journal of biometeorology 2024-07, Vol.68 (7), p.1397-1409
• Main Authors: Vasisth, Rashi, Gurao, Ankita, Chitkara, Meenakshi, Kumar, Gautam, Sriranga, Karpenahalli Ranganatha, Mukesh, Manishi, Dige, Mahesh Shivanand, Singh, Pawan, Aggarwal, Rajeev Anand Kumar, Kataria, Ranjit Singh
• Format: Article
• Language: English
• Subjects: Algorithms; Animal Physiology; Biological and Medical Physics; Biophysics; Bubalus bubalis; Buffalo; Data analysis; Earth and Environmental Science; Environment; Environmental conditions; Environmental Health; Environmental monitoring; Gene expression; Genes; Heat stress; Heat tolerance; Humidity indexes; Meteorology; Original Paper; Plant Physiology; Real time; Reverse transcription; Seasons; Semen; Sperm; Spermatogenesis; Spermatozoa; Temperature effects
• ISSN: 0020-7128; 1432-1254; 1432-1254
• DOI: 10.1007/s00484-024-02675-9

Selection of the most stably expressed reference genes is key to monitoring accurate target gene expression across any tissue or cell type. The mRNA in spermatozoa stores valuable information related to changes in spermatogenesis due to variations in environmental conditions, especially during heat stress, which affects various sperm functions. Semen quality in buffalo bulls is significantly influenced by the seasons. In the study, a panel of nine genes was evaluated to identify the most stably expressed internal control gene (ICG) for the normalization of real-time gene expression data generated across various seasons for Murrah buffalo bulls’ spermatozoa. Sperm cells were purified from the semen samples collected during different seasons, with temperature-humidity index (THI) ranging from 80.80 ± 1.47 (hot summer) to 55.88 ± 1.98 (winter), using the BoviPure™ gradient purification method. The RNA isolated from the purified spermatozoa fraction was quality checked prior to reverse transcription and subjected to qPCR (quantitative real-time PCR) based expression analysis. An automated ‘endoGene’ pipeline was employed to apply the geNorm, NormFinder, and BestKeeper algorithms for data analysis. The result indicated that GAPDH and PP1A were the most stably expressed among the gene panel, whereas ATPSF1 and ACTB were the two least stable expressed reference genes. Further, the most suitable ICGs identified were validated by normalization of real time expression data of heat stress and sperm quality genes, HSFY2 and AKAP4 , respectively. The genes identified would help in generating the most reliable results for the expression profiling of the genes dictating sperm quality and heat stress cope-up mechanism in buffalo spermatozoa, collected during different seasons. Graphical abstract