Advances in animal reproductive technologies have expanded our understanding of buffalo reproduction, of which pregnancy diagnosis remains a crucial process. Addressing declining fertility in livestock is a significant challenge in improving reproductive efficiency within the livestock sector (Wiltbank et al., Reference Wiltbank, Baez, Garcia-Guerra, Toledo, Monteiro, Melo, Ochoa, Santos and Sartori2016), which underscores the importance of early pregnancy diagnosis. To sustain pregnancy recognition, interferon tau (IFNT) is produced by trophectodermal cells of blastocysts in ruminants IFNT influences the expression of interferon stimulated genes (ISGs) in various cells (Shirasuna et al., Reference Shirasuna, Matsumoto, Kobayashi, Nitta, Haneda, Matsui, Kawashima, Kida, Shimizu and Miyamoto2012; Toji et al., Reference Toji, Koshi, Furusawa, Takahashi, Ishiguro-Oonuma, Kizaki and Hashizume2018).
About 10% of the genes in the genome are influenced by interferon (IFN) regulation (Schoggins, Reference Schoggins2019). A successful approach for investigating early pregnancy detection in cows and buffaloes is gene expression analysis of several unique ISGs in blood cells. Relative mRNA expression of ISGs such as interferon-stimulated protein 15 kDa (ISG15), myxovirus resistance-1 and -2 (MX1, MX2) and oligoadenylate synthetase-1 (OAS1) in peripheral blood mononuclear cells (PBMCs) and polymorphonuclear cells (PMNs) have shown potential for use in diagnosing early pregnancy in cows (Panda et al., Reference Panda, Mohapatra, Chaudhary, Alhussien, Kapila and Dang2020) and buffaloes (Casano et al., Reference Casano, Barile, Menchetti, Guelfi, Brecchia, Agradi, De Matteis, Scatà, Grandoni and Barbato2022). Also in a recent study, the expression of certain ISG transcripts namely; dermokine (DMKN), interferon induced transmembrane protein 2 (IFITM2), galectin 3 binding protein (LGALS3BP), TNF superfamily 13b (TNFSF13B), C-type lectin domain family 3-member B (CLEC3B), interferon alpha protein 6 and 44 (IFI6; IFI44), 2′-5′-oligoadenylate synthetase 2 (OAS2) and radical S-adenosyl methionine domain containing 2 (RSAD2) was found upregulated at d18 to d20 of pregnancy in peripheral blood leukocytes (PBLs) of cows (Rocha et al., Reference Rocha, Cristina, De Melo, Motta, Coutinho, Maria, Diaza and Binelli2020).
RSAD2, also known as viperin, has long been associated with antiviral potency in bovine species, notably cows and buffaloes (Tirumurugaan et al., Reference Tirumurugaan, Pawar, Raj, Thangavelu, Hammond and Parida2020). It is found to be highly up-regulated in cattle in response to peste des petits ruminants virus (PPRV) infection, contributing to host defense and decreased viral replication (Tirumurugaan et al., Reference Tirumurugaan, Pawar, Raj, Thangavelu, Hammond and Parida2020). However a new hypothesis emerges: Could RSAD2 also be involved in controlling buffalo pregnancy, particularly in response to conceptus-induced factors? Although previous studies have suggested a potential link between RSAD2 expression and pregnancy status in cows (Rocha et al., Reference Rocha, Cristina, De Melo, Motta, Coutinho, Maria, Diaza and Binelli2020), further investigation is needed to determine if similar associations exist in buffaloes. To explore this hypothesis, we employed real-time quantitative polymerase chain reaction (RT-qPCR) and Western blot analysis. We sought to decipher RSAD2 mRNA and protein expression patterns in early pregnant and non-pregnant buffaloes.
Through a comprehensive examination of the utility of RSAD2 transcript and protein, this study seeks to bridge the gap between molecular biology and buffalo reproductive management. The results of this study would offer a potential breakthrough in reproductive health management and provide an optimal window for buffalo pregnancy diagnosis in the farm for improved reproductive efficiency.
Materials and methods
Experimental animals
The study was conducted on archived samples of RNA and cDNA stored at −80°C. Ethical permission to conduct research was previously approved by the IAEC GADVASU ethical committee (Reference No. GADVASU/2021/IAEC/61/05 dated 19/10/21). Briefly, in an earlier study, blood from 18 buffaloes (9 pregnant and 9 non-pregnant animals) maintained at the Directorate of Livestock Farm, Guru Angad Dev and Animal Sciences University, Ludhiana, Punjab, was obtained in November 2021 to April 2022. Twelve archived RNA/cDNA and plasma (6 pregnant and 6 non-pregnant buffaloes) were obtained to conduct this study. RNA isolation and cDNA synthesis procedures have been published earlier (Sharma et al., Reference Sharma, Choudhary, Ratta and Singh2023).
RT-qPCR analysis of RSAD2
Primer sequences were designed using Primer-BLAST and manufactured by Sahagene, TL, India, for this study. The target sequence size and amplification temperature are shown in online Supplementary Table S1. PowerUp™ SYBR™ Green Master Mix (Applied Biosystems, MA, USA) was prepared. An equal amount of the master mix was dispensed in sterile 4-strip RT-qPCR tubes. Subsequently, 10-fold diluted templates were added to each tube separately. Once the reactions in each tube were ready, they were kept inside the real-time thermocycler (Roto-Gene-Q; Qiagen, Hilden, Germany), and the PCR setting was done using SYBR green. The reaction condition for the amplification of the target was 40 cycles of PCR at 50°C for 2 min (UDG activation), 95°C for 2 min (initial denaturation), 95°C for 3 s, 60°C for 30 s (annealing/extension) and melt cure (90 to 95°C at the rate of 1°C/min of cooling rate, which was optimized for RSAD2. The 2ΔΔCt method of relative quantification was used to compare the fold change difference between the expression of genes between pregnant and non-pregnant buffaloes across the time points d0 (before A.I.) and 20, 25 and 40 d after insemination (Livak and Schmittgen, Reference Livak and Schmittgen2001).
Receiver operating characteristic (ROC) curves were constructed where day 30 pregnancy status based on ultrasound was designated as the true positive. Predicted cutoff values were chosen based on the optimal criterion, considering sensitivity, specificity and pregnancy prevalence. Differences were considered significant where P ≤ 0.05.
Western blot of RSAD2
The plasma samples collected at different time points (d0, 20 and 25) were quantified using Nano-drop. 20 ng of total protein was digested and electrophoresed on SDS-PAGE gels. The protein separated on the gel was transferred to a nitrocellulose membrane, 0.22 μm and blocked (5% BSA) for 2 h at room temperature. The membrane was incubated with the primary antibody, target protein (Anti-RSAD2 rabbit monoclonal antibody, BioRad, CA, USA, 1:5000 in blocking buffer), and endogenous protein (Anti-ACTB mouse monoclonal, Thermo Scientific, catalog no. BSM-33036M, 1:5000 in blocking buffer) overnight at 4°C; both target and endogenous protein were tagged separately. Species-specific secondary antibody IgG-HRP (1: 20 000) was incubated for 1 h at room temperature. The blot was developed using SuperSignal®West Pico Chemiluminescent Substrate (Thermo Fisher Scientific, MA, USA) reagents and visualized in G: BOX Chemi XRQ gel doc system (Syngene, MA, USA). The blot image was further analyzed using ImageJ (ver. 1.53k) (Schneider et al., Reference Schneider, Rasband and Eliceiri2012).
Image analysis of RSAD2 protein band
Densitometry analysis of protein band from the captured images was analyzed using ImageJ software with image background subtraction method for accurate Western blot semi-quantification (Gallo-Oller et al., Reference Gallo-Oller, Ordoñez and Dotor2018). Briefly, using the rectangular selection tool, the outline of the first gel was selected as the region of interest (ROI). Next, the rectangular selection tool was moved to the next well over the RSAD2 band, and the next ROI was selected by holding the shift key while dragging. The procedure was repeated until the last well of the gel image. After all the gel lanes had been selected, ‘plots’ were created by choosing ‘plot lanes’ from the drop-down ‘Analyze’ menu. A window appeared in each band, representing the peak of the specific protein band. Using the line drawing tool, the total area of the peak enclosed was captured. A magic wand tool was selected to measure each peak, and the measured area can be annotated automatically by selecting label peaks. The area of measurement was recorded in the tabular form displayed under the ‘result’ and was saved as an option under the ‘file’ menu for statistical analysis.
Statistical analysis
The data was presented as median fold change value. Friedman's non-parametric test similar to one-way ANOVA, was applied. A Dunn's multiple-comparison was applied to compare multiple means, taking the rank of each column with the mean rank of control (d0). The adjusted P-value for the statistical differences <0.05 was taken to declare the significance level.
Results
We investigated the differential expression profiling of genes associated with early conceptus in buffaloes. The RT-qPCR and Western blot analyses were done to investigate the differential expression of RSAD2 at various days after insemination and compared with the value before insemination.
The mRNA expression of RSAD2 in PBMCs
The RSAD2 primer amplification efficiency was 99%, with an R 2 value of 0.99510, indicating efficient amplification of PCR, and observance of the single melt peak depicts the formation of a single qPCR product. We verified a single PCR product of the intended size by running an amplicon in agarose gel electrophoresis.
In the pregnant group, the RSAD2 gene expression was up-regulated at d20 and d25 (vs. d0) 7- and 6-fold (χ2 (3) = 13.4, P < 0.001), respectively, and a significant difference (P < 0.05) was observed at d20 and d25 compared to d40. However, in non-pregnant animals, the mRNA expression remained at the basal level across all the time points. The data are shown in Fig. 1.
The ROC curves analysis of early pregnancy diagnosis in buffaloes was also established for RSAD2 on d20 and d25. The area under the ROC curve (AUC) representing the diagnosis effectiveness of pregnancy using RSAD2 expression showed a value of 91% at d20 and 100% at d25. The cutoff value was the threshold determined by the maximum value of the Youden index (YD). The sensitivity of RSAD2 for diagnosing pregnancy was 83.3%, but the specificity was 100%. Interestingly, at d25, the diagnosing efficiency of RSAD2 mRNA was 100% specific and sensitive (Fig. 2). The optimal cut-off values (fold change) for predicting pregnancy were >1.99 and >2.11 at d20 and d25 post-insemination, respectively (Table 1).
The calibrator was d0.
Protein expression of RSAD2 in plasma
Western blotting analyzes the protein presence and abundance in the biological sample. RSAD2 was subjected to Western blotting to check its suitability as a protein marker. The protein abundance was measured at d0, d20 and d25 of gestation. The expression level was significantly higher at d25 compared to d0 in the pregnant group of animals (Fig. 3A, B) whereas at d20, the expression level did not differ from d0. For the control run, beta-actin showed a similar intensity of protein band for all the groups of pregnant and non-pregnant samples (not shown).
Discussion
Pregnancy diagnosis is important in sound reproductive management and profitability of a good buffalo farm. A number of tests are available for cattle, including estimation of progesterone pregnancy-specific protein B (e.g. BioRRYN: Abdulkareem et al., Reference Abdulkareem, Al-Sharifi, Ishak, Eidan, Alnimr, Passavant, Branen and Sasser2011), estrone sulfate (Aba et al., Reference Aba, Sumar, Kindahl, Forsberg and Edqvist1998), rectal palpation, ELISA-based assays (Silva et al., Reference Silva, Sterry, Kolb, Mathialagan, McGrath, Ballam and Fricke2007), urine protein pregnancy markers (Rawat et al., Reference Rawat, Bathla, Baithalu, Yadav, Kumar, Ali, Tiwari, Lotfan, Naru, Jena, Behere, Balhara, Vashisth, Singh, Dang, Kaushik, Mohanty and Mohanty2016), urinary metabolites (Sarangi et al., Reference Sarangi, Ghosh, Sangwan, Kumar, Balhara, Phulia, Sharma, Sahu, Kumar, Mohanty and Balhara2022), real-time PCR-based assays (Casano et al., Reference Casano, Barile, Menchetti, Guelfi, Brecchia, Agradi, De Matteis, Scatà, Grandoni and Barbato2022), blood tests for pregnancy-specific glycoproteins (PAGs: Pohler et al., Reference Pohler, Pereira, Lopes, Lawrence, Keisler, Smith, Vasconcelos and Green2016; Van Hanh et al., Reference Van Hanh, Nghia, De Sousa, Barbato and Beckers2020; Tadeo et al., Reference Tadeo, Atabay, Atabay, Matias, Fajardo, Apolinario, Cruz and Tilwani2021) and ultrasonography. Among these, progesterone assay is cost-effective and rectal palpation at day 50 is the field-based test. Ultrasonography is performed after day 35 for a confirmed diagnosis of pregnancy by visualizing conceptus, but it requires expertise and may not be practical in field conditions. In buffaloes, the sensitivity of monitoring early pregnancy using transrectal ultrasonography reported was less than 50% between 19–24 d (Barile et al., Reference Barile, Menchetti, Casano, Brecchia, Melo de Sousa, Zelli, Canali, Beckers and Barbato2021).
Determination of successful pregnancy at less than 30 d after insemination is considered early detection. In cattle, during early pregnancy, the elongating conceptus induces a change in maternal immune cells (Pugliesi et al., Reference Pugliesi, Miagawa, Paiva, França, Silva and Binelli2014; Rocha et al., Reference Rocha, Cristina, De Melo, Motta, Coutinho, Maria, Diaza and Binelli2020). In buffaloes, it could be hypothesized that the pregnancy is associated with paracrine signaling induced by conceptus-released IFNT (Casano et al., Reference Casano, Barile, Menchetti, Guelfi, Brecchia, Agradi, De Matteis, Scatà, Grandoni and Barbato2022) that affects the endometrium, and hence immune responses. Analogous to the study performed on cows, we previously explored the differential expression of ISGs in pregnant buffalo immune cells, reporting ISG15 and galectin-3 binding protein (LGALS3BP) expression in early pregnant buffaloes (Sharma et al., Reference Sharma, Choudhary, Ratta and Singh2023). In a continuation of this study, we also explored differential expression of pregnancy-specific proteins in blood and milk of early pregnant and non-pregnant buffaloes, and found differences in the expression of an ~73 kDa protein (Singh et al., Reference Singh, Choudhary and Singh2024). Based on an earlier published study (Rocha et al., Reference Rocha, Cristina, De Melo, Motta, Coutinho, Maria, Diaza and Binelli2020) found differential expression of genes IFI44, OAS2, TNFSF13B, CLEC3B and RSAD2 in cows and the current research now explores the utility of RSAD2 at gene and protein levels in detecting early pregnancy in buffalo.
Radical S-adenosyl methionine domain-containing 2 (RSAD2) is an antiviral protein, also known as viperin, which is produced by type I IFNs and can prevent the human cytomegalovirus from infecting cells (Chin and Cresswell, Reference Chin and Cresswell2001). The production of RSAD2 and interferon-induced with helicase C domain 1 (IFIHI) is seen during viral infection as a result of IFNs, which influence the adaptive immune responses (Katze et al., Reference Katze, He and Gale2002; Helbig et al., Reference Helbig, Lau, Semendric, Harley and Beard2005). RSAD2 is engaged in sustaining uterine receptivity by inducing an antiviral state and modulating immune cells (Song et al., Reference Song, Bazer and Spencer2007) and contributes to the production and degradation of antibiotics, herbicides, vitamins, DNA precursors and cofactors (Sofia et al., Reference Sofia, Chen, Hetzler, Reyes-Spindola and Miller2001). These compounds could hold significance for endometrial cells in aiding conceptus growth and implantation during the peri-implantation phase.
We showed the expression of RSAD2 at gene and protein levels in immune cells and its utility in determining early pregnant buffaloes. RSAD2 significantly increased d6 post-insemination in cow endometrial tissue (Forde et al., Reference Forde, Carter, Spencer, Bazer, Sandra, Mansouri-Attia, Okumu, McGettigan, Mehta, McBride, O'Gaora, Roche and Lonergan2011; Mamo et al., Reference Mamo, Mehta, Forde, McGettigan and Lonergan2012). Likewise, its mRNA expression in peripheral blood leukocytes at d21 was 2.3 times higher than at d0, again in cows (Kizaki et al., Reference Kizaki, Shichijo-Kizaki, Furusawa, Takahashi, Hosoe and Hashizume2013; Yoshino et al., Reference Yoshino, Toji, Sasaki, Koshi, Yamagishi, Takahashi, Ishiguro-Oonuma, Matsuda, Yamanouchi, Hashiyada, Imai, Izaike, Kizaki and Hashizume2018). However, the expression level remained relatively stable at d14. In primiparous cows, a difference in RSAD2 expression in peripheral blood leukocytes between d15 and d18 was observed (Green et al., Reference Green, Okamura, Poock and Lucy2010) and in a related study RSAD2 expression increased exponentially from d18 to d21, then declined (Cheng et al., Reference Cheng, Xiang, Hu, Yu, Xia, Tao and Zhao2019). Our results indicated a 6–7-fold increase in transcripts of RSAD2 in PBMCs of d20 and d25 pregnant buffaloes. This concurs with the results where RSAD2 mRNA expression in pregnant cows was significantly upregulated at d18 and d20 (Rocha et al., Reference Rocha, Cristina, De Melo, Motta, Coutinho, Maria, Diaza and Binelli2020). Genetics of animals (comparing Bos taurus with Bos indicus, e.g.: Rocha et al., Reference Rocha, Martins, Silva, Sponchiado, Pohler and Binelli2023), breed, age, parity, and species may influence the expression of ISGs, including RSAD2. Also, these findings suggest that RSAD2 expression might be indirectly affected by genetic composition, leading to associations with progesterone concentrations, where an inverse relation was observed. Further analysis using ROC curves showed the sensitivity was 100% at both d20 and d25, implying that the risk of misdiagnosing pregnant buffaloes as non-pregnant will be low. The study reports RSAD2 as a good biomarker for early pregnancy diagnosis in buffaloes at both transcript and protein levels.
This research method of early pregnancy diagnosis in buffaloes is based on measuring the transcript of RSAD2 in PBMCs. Therefore, factors like existing viral infection in the animals and early embryonic mortality could possibly affect the expression of RSAD2 and, hence, pregnancy detection. As indicated above, RSAD2 is one of the ISGs that increases host defense and decreases viral replication (Helbig et al., Reference Helbig, Lau, Semendric, Harley and Beard2005; Tirumurugaan et al., Reference Tirumurugaan, Pawar, Raj, Thangavelu, Hammond and Parida2020). Likewise, in repeat breeding in the event of early embryonic mortality, increased levels of ISGs from previous pregnancy could produce false positive results. In addition, buffaloes are seasonal breeders, meaning reproductive efficiency is affected by seasonal variation. During the day length lengthening period (spring-summer), embryonic losses in buffaloes are as high as 20–40% as compared to 7% during the decreasing daylight length (winter) (Campanile et al., Reference Campanile, Neglia and D'Occhio2016; Barbato et al., Reference Barbato, Menchetti, Brecchia and Barile2022).
PAGs have been used to detect pregnancy in buffaloes. However, the specificity of PAG-based radio immune assay (RIA) at d19 to d24 after insemination in buffaloes was extremely low (11%) (Karen et al., Reference Karen, Darwish, Ramoun, Tawfeek, Van Hanh, de Sousa, Sulon, Szenci and Beckers2007). Later, the specific RIA system detected pregnant buffaloes at d28d with 98% specificity (Barbato et al., Reference Barbato, Menchetti, Sousa, Malfatti, Brecchia, Canali, Beckers and Barile2017). An alternative protein biomarker like RSAD2 is required to develop protein-based assays. Estimation of RSAD2 protein in buffalo plasma for pregnancy diagnosis has not been reported earlier.
In conclusion, we have shown that the interferon-stimulating gene RSAD2 shows promise for diagnosing early pregnancy in buffalo at transcript and protein levels.
Supplementary material
The supplementary material for this article can be found at https://doi.org/10.1017/S0022029924000360
Acknowledgments
Authors thank the Directorate of Livestock Farms, particularly Dr Navdeep Singh, for assistance in sample collection. The Department of Biotechnology, New Delhi, is also acknowledged for providing fellowship to SS during the Master's program.