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The Sperms Post-Thawing Quality and Proteomic Seminal Plasma on Fertility Performance of Bali-Polled Bull

AAVS_11_4_517-525

Research Article

The Sperms Post-Thawing Quality and Proteomic Seminal Plasma on Fertility Performance of Bali-Polled Bull

Athhar Manabi Diansyah1, Muhammad Yusuf2*, Abdul Latief Toleng2, Muhammad Ihsan Andi Dagong2, Tulus Maulana3, Hasrin4, Abdullah Baharun5

1Post-Graduate School, Hasanuddin University, Jl. Perintis Kemerdekaan Km. 10 Tamalanrea Makassar, South Sulawesi, Indonesia. 90245; 2Faculty of Animal Science, Hasanuddin University, Jl. Perintis Kemerdekaan Km. 10 Tamalanrea Makassar, South Sulawesi, Indonesia. 90245; 3Research Center for Applied Zoology, National Research and Innovation Agency, Jl. Raya Bogor Km. 46, Cibinong, West Java, Indonesia. 16911; 4Faculty of Vocation, Hasanuddin University, Jl. Perintis Kemerdekaan Km. 10 Tamalanrea Makassar, South Sulawesi, Indonesia. 90245; 5Faculty of Agriculture, Djuanda University, Jl. Tol Ciawi No. 1, Ciawi, West Java, Indonesia. 16720.

Abstract | The development of local bull in many regions is currently leading to the development of local bulls and Indonesia is no exception, especially in South Sulawesi Province. One of local bulls in which developed for approximately last ten years is Bali-polled bull. Thus, the selection of polled bulls is crucial, mainly in modern livestock management. The aims of this study to identify sperms post-thawing quality and proteomic plasma semen as fertility performance in Bali-polled bull. The utilization of Bali-horned bulls as a point of reference was necessary to achieve this aim. The semen samples from Bali-horned and Bali-polled bulls were obtained twice weekly using an artificial vagina. The semen samples were immediately sent to the laboratory for processing. Parameters measured were sperm motility, abnormality, viability, acrosome integrity, and membrane integrity. Liquid chromatography-mass spectrometry (LCMS/MS) analysis was used to assess the confirmation profile protein of seminal plasma. The conception rate from artificial insemination was used to determine the fertility rate (AI). This investigation revealed that the quality of the sperms from Bali-polled bulls and Bali-horned bulls did not substantially change after thawing (p > 0.05). However, sperm acrosome integrity was considerably (p < 0.05) higher in Bali-polled bulls than in Bali-horned bulls. In the profiling protein seminal plasma, ZPBP protein expression was found in the Bali-polled bull which was not found in the Bali-horned bull. Bali-polled bulls and Bali-horned bulls did not differ significantly (p > 0.05) in terms of fertility rate on conception rate. In conclusion, sperms post-thawing quality of Bali-polled bull have a good category according SNI 4869-1:2017 and proteomic seminal plasma of Bali-polled bull has a protein profile linked to reproductive function.

 

Keywords | Bali-polled bull, Sperm, Thawing, Proteomic, Fertility


Received | December 08, 2022; Accepted | January 15, 2023; Published | February 28, 2023

*Correspondence | Muhammad Yusuf, Faculty of Animal Science, Hasanuddin University, Jl. Perintis Kemerdekaan Km. 10 Tamalanrea Makassar, South Sulawesi, Indonesia. 90245; Email: [email protected]

Citation | Diansyah AM, Yusuf M, Toleng AL, Dagong MIA, Maulana T, Hasrin, Baharun A (2023). The sperms post-thawing quality and proteomic seminal plasma on fertility performance of bali-polled bull. Adv. Anim. Vet. Sci. 11(4): 517-525.

DOI | http://dx.doi.org/10.17582/journal.aavs/2023/11.4.517.525

ISSN (Online) | 2307-8316

 

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Copyright: 2023 by the authors. Licensee ResearchersLinks Ltd, England, UK.

This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).



Introduction

The development of local bull in many regions is currently leading to the development of local bulls and Indonesia is no exception, especially in South Sulawesi Province. One of local bulls in which developed for approximately last ten years is Bali-polled bull. Generally, Bali cattle as local cattle in this region has a pair of horns, however it is become unique because several years ago, it was found Bali cattle without any horn. By definition, polled bull are bull whose horns do not grow naturally (Baco et al., 2020).

Polled cattle have some benefits, such as lowering the danger of injuries that often occur in breeders due to horns, preventing bruising on the carcass and deterioration to the skin, and preventing the carcass from bruising (Mueller et al., 2021). Utilizing genetic selection to increase the number of polled (hornless) cattle is an alternative to dehorning. Horns are inherited as an autosomal recessive characteristic (Long and Gregory, 1978).

There is a chance that Indonesia will utilize artificial insemination to produce Bali-polled cattle. Thus, the selection of polled bulls is crucial, particularly in contemporary livestock management (Brockmann, 2000). The development of reproductive biotechnology for livestock has facilitated the exploration of cattle’s reproductive performance, population growth, and genetic quality. Artificial insemination, the first generation of reproductive technology, aims to successfully utilize large bulls, reduce the spread of reproductive diseases, and improve the genetic quality of animals (Said, 2020).

The success of artificial insemination (AI) is largely determined by the bull factor used in the artificial insemination station. Even while all cows equally contribute to conception success or failure during AI, the bull plays a crucial role because not all bulls have the same fertility rates. The ability of bulls to resisted the cryopreservation of their sperm varies. Recent research has indicated that this may impact fertility (Harayama et al., 2010; Kumaresan et al., 2012). Therefore, it’s crucial to understand sperm quality when trying to conceive.

Fertility assessment methods that have been developed for a long time are using the BSE method (Thundathil et al., 2016) which still need to be combined with several other parameters such as semen quality analysis (Boe-Hansen et al., 2015). The difference in spermatozoa motility is related to the plasma semen proteins that can be found together in the ejaculate (Netherton et al., 2018). Currently, fertility assessment has focused on identifying fertility marker proteins such as proteomic analysis of goods derived from semen plasma (Gomes et al., 2020). Numerous proteins have been involved in regulating spermatozoa quality via their participation and expression (Wang et al., 2019). However, there is currently limited knowledge about the post-thawing quality of sperms and proteome plasma seminal of Bali-bull polled. Therefore, more investigation is required to establish the post-thawing sperm quality and proteomic plasma seminal linked with bull fertility in Bali-polled bulls. This study aimed to identify sperms post-thawing quality and proteomic plasma semen as fertility performance in Bali-polled bull. Thus, finding new potential Bali-polled bull as a source of quality beef with higher value and which will economically impact Indonesian livestock.

Materials and Methods

The study was conducted at Samata integrated Farming System, Gowa, Indonesia and the Laboratory of Animal Reproduction, Semen Processing Unit, Faculty of Animal Science, Hasanuddin University, Makassar, Indonesia. Profiling proteins of plasma seminal was analyzed at the Research Center for Applied Zoology, National Research and Innovation Agency, Cibinong, Indonesia. Fertility test was performed at Lappariaja, Bone, Indonesia from February to October 2022. The bulls used in this study from Faculty of Animal Science Hasanuddin University, Makassar and Samata integrated Farming System, Gowa, Indonesia. The semen samples were obtained from a Bali-polled bull aged 8 years with body weight of 320kg and a Bali-horned bull aged 5 years with body weight of 300kg. The bulls were kept in a barn with individual stalls and were given concentrate (20%) and elephant grass (80%) in the morning and evening. The Animal Ethics Committee of Hasanuddin University, Makassar, Indonesia, approved all procedures in the present study. The utilization of Bali-horned bulls as a point of reference was necessary to achieve this aim.

Semen collection and Processing Semen

The Semen samples from Bali-polled and Bali-horned bulls were taken twice weekly throughout 5 successively utilizing an artificial vagina. The semen samples were processed in the lab as soon as they were obtained. The sperm was processed as described by Diansyah et al. (2022a), with minor adjustments. Following the AI Center’s Standard Operating Procedure for manufacturing frozen sperm using a commercial extender, the semen of Bali-horned and Bali-polled bulls was frozen (Andromed, Germany). The semen was adjusted for 4 hours at 5 oC. Using a Styrofoam box and liquid nitrogen vapour above, The frozen semen completed the cryopreservation procedure for 10 minutes. The frozen sperm was placed in a -196°C liquid nitrogen container.

Thawing and Evaluation

The frozen semen was thawed by inserting the straw into a thawing device (Minitube, Germany) for 30 seconds. Tissue paper was used to dry the straw before being chopped off at the ends and placed into a microtube (Diansyah et al., 2020). The samples assessed were the motility, abnormality, viability, acrosome integrity, and membrane integrity of sperms.

Motility, Abnormality, and Viability of The Sperms

The motility of sperms was determined by placing 10 μl of semen on the object glass. CASA (Program Vision VersionTM 3.7.5 Minitube, Germany) was then used to analyse the semen (Diansyah et al., 2022a). The abnormality and viability of the sperms were evaluated by combining 10 μl of semen and 10 μl of Eosin 2% in the object glass. After drying, the object glass was examined using Indomicro View 3.7 software and a trinocular microscope (Primo Star, Zeiss, Germany). Red spermatozoa were categorized as dead, while colourless spermatozoa were believed to be alive. At least 200 sperm cells per observation were counted to provide an accurate calculation. Spermatozoa with cut tails, shattered tails, and abnormal head shapes were judged abnormal.

Acrosome Integrity

Acrosome integrity was determined by combining the test semen with a formol-saline solution (physiological NaCl solution with 1% formalin) in a ratio of 1:4. The inspection was conducted using microscope (Zeiss, Germany). A black head tip shows the proportion of acrosomes with intact acrosomal hoods.

Membrane Integrity

The membrane integrity was assessed microscopically by placing 10 μl of semen in HOST solution (0.179g NaCl in 100 ml of aquabides). The solution was then incubated for 30 minutes at 37˚C. The investigation was carried out with a trinocular microscope (Primo Star, Zeiss, Germany). Sperms with intact membranes had circular tails, whereas sperms with straight tails were considered damaged.

Confirmation profiling protein of seminal plasma

Confirmation profiling protein of seminal plasma was determined by LCMS/MS (Liquid Chromatography Mass Spectrometer) analysis following Baharun (2021) and Diansyah et al. (2022b) methods with the minor modifications. Approximately 3–4 ml of the semen were centrifuged for 30 minutes at 6500 rpm. In a cryo box, a microtube containing the centrifuged supernatant was preserved at -20°C. 1D-SDS-PAGE was used to characterize the seminal plasma protein (SMOBIO TM® Technology, Inc., Taiwan). Coomassie Brilliant Blue stain (Sigma-Aldrich®, United States) were used for stanning the gels. Peptide digestion was used to carry out the protein bands that were carried out on the gel. Then, using a solution consisting of 2% ACN, 98% ultrapure water, and 0.1% formic acid, peptide fractionation was performed using a Nano LC Ultimate 3000 Series System Tandem Q Exactive Plus Orbitrap HRMS (Thermo Scientific, Bremen, Germany). Signal peptides were identified using a Thermo Scientific LTQ-Orbitrap mass spectrometer, 2002000 m/z.

Fertility Rate

The artificial insemination (AI) conception rate was used to calculate the fertility rate, as described by Pardede et al. (2020). The conception rate (CR) is the ratio of the number of inseminated cows to the number of pregnant cows after one insemination treatment to determine the reproductive rates of Bali-polled and Bali-horned bulls, 50 receptor cows were used. A transrectal pregnancy diagnosis was made 45 to 60 days after AI.

Statistical analysis

ANOVA was used to compare each parameter of sperms post-thawing quality. Fertility rate was analyzed using Chi-square. The p-value had to be less than 0.05 for the parameter to be considered significant.All analysis was performed using SPSS Version 25. Determining profiling protein composition using dataset of BioinfoGP (https://bioinfogp.cnb.csic.es/). Determining profiling protein pathway using dataset of Panther (https://pantherdb.org/) and Uniprot (https://uniprotorg/). Determining interaction between proteins using dataset of STRING (https://string-db.org/) (Szklarczyk et al., 2015).

Results and Discussion

The Sperms Post-Thawing Quality of Bali-Polled Bull

The fertility rate can be predicted by microscopical analysis of the sperm post-thawing quality of Bali-polled bulls. The sperms post-thawing quality of Bali-polled bull post-thawing regarding motility, abnormality, viability, acrosome integrity, and membrane integrity are summarized in Table 1.

The post-thawing sperm quality of sperm from Bali-polled and Bali-horned bulls is displayed in Table 1. According to statistical analysis, the sperm motility of the Bali-polled bull and Bali-horned bull (49.5% vs. 49.0%, respectively) did not differ substantially (p > 0.05). Furthermore, there were no significant difference in sperm abnormality (13.9% vs. 14.1%), sperm viability (51.3% vs. 50.1%), or sperm membrane integrity (50.7% vs. 49.5%) (p > 0.05). However, sperm acrosome integrity was substantially (p < 0.05) higher in the Bali-polled bull (50.7% vs. 48.7%) than in the Bali-horned bull. This difference seems to not biologically affect the fertility level in the two bulls. The causes of this difference in the present study were not fully understood.

The Bali-polled bull in this study has a standard category of sperm post-thawing quality (Table 1). About the Indonesian National Standardization 4869-1:2017 for frozen

 

Table 1: The sperms quality post-thawing of Bali-polled and Bali-horned bulls

Bali Bull

Parameter

Motility (%) Abnormality Viability Acrosome Integrity Membrane Integrity
Polled 49.51.2 13.91.3 51.31.39

50.7a1.1

50.71.4
Horned 49.00.8 14.11.4 50.11.37

48.7b1.4

49.50.9

Means in a column with different superscripts differ significantly (p < 0.05).

bull semen (Rosyada et al., 2021), the sperm quality of the Bali-polled bull in this study was designated a normal category. It can be utilized for artificial insemination (AI) with at least 40% motility sperm.The statistical difference in acrosome integrity can be caused by the freezing and thawing processes during this procedure, sperms were exposed to several potential risks, including acrosome loss (Khalil et al., 2018) and a change in the integrity of its chromatin (Mukhopadhyay et al., 2011).

Kutchy et al. (2019) found that characteristics, including sperm motility and acrosome integrity, are related to bull fertility (Kumaresan et al., 2017). Viability and acrosome integrity are essential indicators in identifying between bulls with varied fertility (Bernecic et al., 2021). Acrosome integrity is vital for successful fertilization, whereby the overlying plasma membrane fuse and the outer acrosomal to cause a release of lytic enzymes either just before or upon contact with the zona pellucida surrounding the oocyte (Ickowicz et al., 2012). Therefore, if the acrosome prematurely reacts or is damaged during cryopreservation or soon after insemination, the potential for spermatozoa to successfully fertilize will be reduced (Thundathil et al., 1999). However, some additional analysis is needed to predict the fertility rate of a bull.

Profiling protein seminal plasma of Bali-polled bull

The proteomic seminal plasma of Bali-polled bull was analyzed using LCMS/MS to predict the fertility rate. The profiling protein seminal plasma of Bali-polled bull regarding protein seminal plasma compositions and protein-specific seminal plasma linked to reproductive function of Bali-polled bull are summarized in Figure 1 and Table 2.

Figure 1 shows the results of the LCMS/MS analysis of the protein seminal plasma compositions of the Bali-polled and Bali-horned bull with a MW between 12 and 65 kDa. A total of 196 proteins were identified in the Bali-horned and Bali-polled bull. A total 145 protein profiles are the same in plasma seminal from Bali-polled and Bali-horned bulls, which is the same proportion of the total protein composition (75.1%). In the Bali-polled bull was identified 27 protein profiles (14%) which were not identified in Bali-horned bull. While, in the Bali-horned bull, 21 protein profiles (21%) were identified but not identified in Bali-polled bull.

The proteomic seminal plasma of the Bali-polled bull was identified 172 protein profiles (Figure 1). Some of these proteins have reproductive functions such as sperm motility, signaling receptor activity, sperm-egg identification, response to oxidative stress, sperm protection, capacitation of sperm, freezing capability, signaling caspase activity and growth factor activity. In other breeds, 87 protein profiles were identified in the Simmental bull (Baharun, 2021) and 241 protein profiles were identified in the Sahiwal bull (Sharma et al., 2022).

 

The results of Panther and Uniprot analysis (Table 2) show that the following proteins are involved in reproductive function in Bali-polled and Bali-horned bulls are TEXT101, FLOR3 (Folate Receptor Alpha 3), FLOR1 (Folate Receptor Alpha 1), BSP1, BSP3, BSP5 (Binder Sperm Protein), SPADH2 (Spermadhesin 2), PRSS55 (Serine Protease 55), ELSBPB1 (Epididymal Sperm Binding Protein 1), CRISP1 (Cysteine-Rich Secretory Protein 1), GPX3 (Glutathione Peroxidase 3), RNASE4 (Ribonuclease 4) and NGF (Beta-Nerve Growth Factor). Meanwhile, ZPBP protein expression was found in the Bali-polled bull which was not found in the Bali-horned bull. The Bali-polled bull discovered a protein profile that the Bali-horned bull did not (Table 2). The protein has the protein id ZPBP and accession number F1N369 (Zona Pellucida Binding Protein). The ZBPB protein (F1N369) contains 325 amino acids. Figure 2 shows the structure of the ZPBP protein interaction.

The results of STRING analysis (Figure 2), the ZPBP protein has interactions with CFAP61, SPATA16, ZAN, VWC2, and TSACC. The ZPBP protein has co-expres

 

Table 2: The protein specific seminal plasma of Bali-polled and Bali-horned bulls related to reproductive function

Protein

Accession Number

Function

Bali Bull

Polled Horned
TEX101 A6QPE3 Motility sperm + +
FOLR3 P02702 Signaling receptor activity + +
FOLR1 E1BJL8 Sperm-egg recognition + +
ZPBP F1N369 Binding sperm to zona pellucida + -
BSP 1 P04557 Motility sperm + +
BSP 3 P81019 Capacitation sperm + +

BSP 5

P02784 Freezing capability + +
SPADH2 P82292 Motility sperm + +
PRSS55 E1BLW6 Motility sperm + +
ELSPBP1

E1B9P4

Capacitation sperm + +
CRISP1 E1BC47 Sperm protection + +
GPX3 P37141 Response to oxidative stress + +
RNASE4 Q58DP6 Signaling caspase activity + +
NGF P13600 Growth factor activity +

+

+: Protein expressed, -: Protein non-expressed

 

sion with CFAP61 and SPATA16. The ZBPB protein (F1N369) has interactions with several proteins (Figure 2)

including Monodelphis Domestica (Nolte et al., 2019) having protein interactions for co-expression with the CFAP61 protein (Cilia And Flagella Associated Protein 61), in Rattus Norvegicus and Mus Musculus (Crapster et al., 2020) have interactions on the SPATA16 protein (Spermatogenesis Associated 16), in humans (Zhang et al., 2018) have interactions on TSACC (TSSK6-activating co-chaperone protein), on the boar (Feugang et al., 2018) have interactions on the ZAN protein (Zonadhesin), and on the alpaca (Richardson et al., 2019) have interactions on the VWC2 protein (Von Willebrand Factor C Domain Containing 2). However, no information or reports have been found regarding the ZPBP (F1N369) in Bali-polled bulls.

Based on Uniprot analysis, gene ontology of the ZPBP protein (F1N369) was found to be classified according to the function of cellular components and biological processes. The ZPBP protein (F1N369) is expressed in cellular components with a function in sperm mediation with the zona pellucida while in biological processes it is expressed in the function of acrosome formation and the zona pellucida, where sperm attach (Gaudet et al., 2011).

Proteins have been identified in sperm motility and metabolism, membrane remodeling and function, resistance and preservation against ROS, capacitation, and acrosome responses expressed in the fluid surrounding sperm cells in semen (Moura et al., 2018). Semen plasma contains many sperm-binding proteins that modify the sperm membrane’s structure and function. Studies show that the complex role played by semen plasma proteins in controlling sperm activity is expressed during several different cellular events. There is substantial evidence that sperm surface-bound seminal plasma proteins influence sperm behavior and function (Purdy, 2006).

The Fertility Rate of Bali-Polled Bull

The fertility rate of Bali-polled bull in the present study was used conception rate after artificial insemination (AI). The conception rate of Bali-polled bull is shown in Figure 3.

Figure 3 shows the Bali-polled and Bali-horned bull conception rates. According to statistical analysis, the conception rate of Bali-polled bulls and Bali-horned bulls (56% vs. 56%) did not differ substantially (p > 0.05). Bulls have greater fertility rates than cows since a bull could generate up to forty cows through natural reproduction or a large number with artificial intelligence (AI) algorithms (Kastelic, 2013). Conception rates become a suitable metric to assess the efficacy of AI mating (Anggraeni et al., 2016). The Bali-polled bull in this study falls into the excellent fertility category (Figure 3). In Bali-polled bull, the CR-based fertility rate was 56%. In other breeds CR, Brahman bull was 55.3% (Islam et al., 2019) and Friesian Holstein bull was 45% (Anggraeni et al., 2016).

Fertility rate can be associated with sperms post-thawing quality. The sperms post-thawing quality of the Bali-polled bull in this study with motility by 49.46%, viability by 51.3%, and acrosome integrity by 50.68% (Table 1) had a fertility rate by 56% (Figure 3). López-Gatius (2012) revealed post-thawing of exotic beef bull frozen semen gave good the achievement for AI mating of motility by 38.0%, viability by 45.2%. Yániz et al. (2021) reported high fertility bulls have 46% of acrosome integrity. The acrosome is crucial in the fertilization process.

 

The acrosome response is activated when spermatozoa come into contact with the zona pellucida, which releases and activates the enzyme of acrosome and allows the sperm to enter the zona pellucida (Miranda et al., 2009). In line with that, in Bali-polled bull was identified ZPBP protein whose role in binding sperm to the zona pellucida. This suggests that the protein discovered in Bali-polled bull relates to reproductive rate. ZPBP is one of the numerous proteins that assist in supplementary binding among acrosome-reacted sperm and the zona pellucida, an extracellular matrix unique to eggs (McLeskey et al., 1998). Furthermore, ZPBP is detected in the acrosomal matrix, which was implicated in the initial binding of the sperm acrosome to the zona pellucida and enhanced substantially during sexual maturity (Song et al., 2010).

ZPBP in mice was described by Lin et al. in 2007. Loss of ZPBP resulted in male infertility with abnormally round-headed sperm morphology and no forward sperm motility. As a result, the connections between the Sertoli spermatids and acrosomes were broken. Acrosomal membrane invaginations in males lacking ZPBP were intermittent, sub-fertile, and generated dysmorphic sperm that had a limited ability to cross the zona pellucida. ZPBP coevolved to perform joint roles in spermiogenesis.

Conclusions

The quality of sperms and proteomic seminal plasma can be used as a prediction for performance fertility in Bali-polled bulls. Sperms post-thawing quality of Bali-polled bull have a good category according to SNI 4869-1:2017 and proteomic seminal plasma of Bali-polled bull has a protein profile linked to reproductive function.

Acknowledgments

The Ministry of Higher Education, Culture, Research and Technology of Indonesia funds Athhar Manabi Diansyah through the PMDSU scholarship (Contract Number: 956/UN4.22/PT.01.03/2022). All members of the Laboratory of Animal Reproduction, Semen Processing Unit, Faculty of Animal Science, Hasanuddin University, deserve our gratitude.

Conflict of interests

The authors stated that there were no competing interests.

Ethical consideration

The authors have proven ethical problems such as plagiarism, information fabrication, misconduct and/or falsification, permission to publish, duplicate publication and/or submission, and redundancy.

novelty statement

The present study highlights the possibility of predicting fertility performance of Bali-polled bulls using the quality of sperms and proteomic of seminal plasma.

Authors’ contribution

The study was carried out by AMD, MY, ALT, and MIAD, and all authors contributed equally. In addition, H and AB made essential contributions to the organization and analysis of the data for this work. All authors above consented to be held responsible for all parts of the work and participated in its preparation, drafting, and revision. They also provided final permission for the version that was published.

References

Amann RP, Waberski D (2014). Computer- assisted sperm analysis (CASA): Capabilities and potential developments. Theriogenology. 81(1): 5-17. https://doi.org/10.1016/j.theriogenology.2013.09.004%20

Anggraeni A, Herawati T, Praharani L, Utami D, Argis (2016). Conception rates of holstein-friesian cows inseminated artificially with reducing frozen semen doses. J. Anim. Sci. Technol. 39(2):75-1. https://doi.org/10.5398/medpet.2016.39.2.75

Baco S, Zulkarnaim, Malaka R, Moekti GR (2020). Polled Bali Cattle and Potentials for the Development of Breeding Industry in Indonesia. Hasanuddin J. Anim. Sci. 2(1): 23-33. https://doi.org/10.20956/hajas.viNo%201.11345

Baharun (2021). Kajian Karakteristik Semen Pejantan Unggul Sapi Simental Berbasis Proteome Terhadap Kualitas Semen dan Penanda Fertilitas Spermatozoa. PhD Thesis. Post Graduate School, IPB University, Bogor. Available at: https://repository.ipb.ac.id/handle/123456789/108139

Bernecic NC, Donnellan E, O’Callaghan E, Kupisiewicz K, O’Meara C, Weldon K, Lonergan P, Kenny DA, Fair S (2021). Comprehensive functional analysis reveals that acrosome integrity and viability are key variables distinguishing artificial insemination bulls of varying fertility. J. Dairy Sci. 104(10):11226-11241. https://doi.org/10.3168/jds.2021-20319

Boe-Hansen GB, Rego JPA, Crisp JM, Moura AA, Nouwens AS, Li Y, Venus B, Burns BM, McGowan MR (2015). Seminal plasma proteins and their relationship with percentage of morphologically normal sperm in 2-year-old Brahman (Bos indicus) bulls. Anim. Reprod. Sci. 5268:1-11. https://doi.org/10.1016/j.anireprosci.2015.09.003

Brockmann GA, Martin J, Friedrich T, Manfred S (2000). Marker controlled inheritance of the Polled locus in Simmental Cattle. Archiv. Anim. Breeding. 43(3): 207-212. https://www.doi.org/10.5194/aab-43-207-2000

Broekhuijse ML, Sostaric E, Feitsma H, Gadella BM (2012). Application of computer assisted semen analysis to explain variations in pig fertility. J. Anim. Sci. 90(3): 779-789. https://doi.org/10.2527/jas.2011-4311

Byrne CJ, Fair S, English AM, Cirot M, Staub C, Lonergan P, and Kenny DA (2018). Plane of nutrition before and after 6 months of age in Holstein-Friesian bulls: I. Effects on performance, body composition, age at puberty, and postpubertal semen production. J. Dairy Sci. 101(4):3447-3459. https://doi.org/10.3168/jds.2017-13719

Crapster JA, Rack PG, Hellmann ZJ, Le AD, Adams CM, Leib RD, Elias JE, Perrino J, Behr B, Li Y, Lin J, Zeng H, and Chen JK (2020). HIPK4 is essential for murine spermiogenesis. Elife. 9:e50209. https://doi.org/10.7554/elife.50209

Diansyah AM, Yusuf M, Kaiin EM (2020). The Quality of Sperm Post-Immobilization at Some Parts of FH Sperm Using Laser Diodes. The 2nd International Conference of Animal Science and Technology. IOP Conferences. Series: Earth Environ. Sci. 492 (2020) 012074. https://doi.org/10.1088/1755-1315/492/1/012074%20

Diansyah AM, Yusuf M, Toleng AL, and Dagong MIA (2022a). Characteristic and kinematics of Bali-polled bull sperms. Adv. Anim. Vet. Sci., 10(8):1787-1796. http://dx.doi.org/10.17582/journal.aavs/2022/10.8.1787.1796

Diansyah AM, Yusuf M, Toleng AL, Dagong MIA, Maulana T (2022b). The Expression of Plasma Protein in Bali-polled Bulls Using 1D-SDS-PAGE. World Vet. J. 12 (3): 316-322. https://dx.doi.org/10.54203/scil.2022.wvj40

El-Bahrawy KA (2017). The influence of caffeine supplementation and concerted utilization of enzymatic and mechanical semen liquefaction on freezability of dromedary camel sperms. Int. J. Vet. Med. 5: 121-127. https://doi.org/10.1016/j.ijvsm.2017.09.005%20

Feugang JM, Liao SF, Willard ST, Ryan PL (2018). In-depth proteomic analysis of boar spermatozoa through shotgun and gel-based methods. BMC Genom. 19(1):62. https://doi.org/10.1186/s12864-018-4442-2

Gaudet P, Livstone MS, Lewis SE, Thomas PD (2011). Phylogenetic-based propagation of functional annotations within the Gene Ontology consortium. Brief. Bioinformat. 12(5):449-62. https://doi.org/10.1093/bib/bbr042

Gomes FB, Park R, Viana AG, Fernandez-Costa C, Topper E, Kaya A, Memili E, Yates JR, Moura AA (2020). Protein signatures of seminal plasma from bulls with contrasting frozen-thawed sperm viability. Nature. 10(1):14661-14675. https://doi.org/10.1038/s41598-020-71015-9

Harayama H, Nishijima K, Murase T, Sakase M, Fukushima M (2010). Relationship of protein tyrosine phosphorylation state with tolerance to frozen storage and the potential to undergo cyclic AMP-dependent hyperactivation in the spermatozoa of Japanese Black bulls. Molecul. Reprod. Develop. 77: 910– 921. https://doi.org/10.1002/mrd.21233

Ickowicz D, Finkelstein M, and Breitbart H (2012). Mechanism of sperm capacitation and the acrosome reaction: Role of protein kinases. Asian J. Androl. 14:816–821. https://doi.org/10.1038/aja.2012.81

Islam MT, Bhuiyan JS, Juyena NS, and Bhuiyan MM (2019). Post artificial insemination conception rate of a Brahman bull in selected areas of Bangladesh. Bangladesh J. Vet. Med. 17(1): 61-69. https://doi.org/10.33109/bjvmjj19fam4

Kasimanickam VR, Kasimanickam RK, Kastelic JP and Stevenson JS (2013). Associations of adiponectin and fertility estimates in Holstein bulls. Theriogenology. 79(5):766-777. https://doi.org/10.1016/j.theriogenology.2012.12.001

Kastelic JP (2013). Male involvement in fertility and factors affecting semen quality in bulls. Anim. Front. 3(4): 165-172. https://doi.org/10.2527/af.2013-0029

Kathiravan P, Kalatharan J, Edwin MJ, and Veerapandian C (2008). Computer automated motion analysis of crossbred bull spermatozoa and its relationship with in vitro fertility in zona-free hamster oocytes. Anim. Reprod. Sci. 104(1): 9-17. https://doi.org/10.1016/j.anireprosci.2007.01.002

Khalil WA, El-Harairy MA, Zeidan AEB, Hassan MAE, and Mohey-Elsaeed O (2018). Evaluation of bull spermatozoa during and after cryopreservation: Structural and ultrastructural insights. Int. J. Vet. Sci. Med. 6:S49–S56. https://doi.org/10.1016/j.ijvsm.2017.11.001

Krízková J. Èoudková V, and Maršálek M (2017). Computer- assisted sperm analysis of head morphometry and kinematic parameters in warmblood stallions spermatozoa. J. Equine Vet. Sci. 57: 8-17. https://doi.org/10.1016/j.jevs.2017.05.012%20

Kumaresan A, Johannisson A, Al-essawe EM, and Morrell JM (2017). Sperm viability, reactive oxygen species, and DNA fragmentation index combined can discriminate between above-and below-average fertility bulls. J. Dairy Sci. 100(7):5824–5836. https://doi.org/10.3168/jds.2016-12484

Kutchy NA, Menezes ESB, Ugur MR, Ul-Husna A, El- Debaky H, Evans HC, Beaty E, Santos FC, Tan W, Wills RW, Topper E, Kaya A, Moura AA, and Memili E (2019). Sperm cellular and nuclear dynamics associated with bull fertility. Anim. Reprod. Sci. 211:106203. https://doi.org/10.1016/j.anireprosci .2019.106203

Lin YN, Roy A, Yan W, Burns KH, and Matzuk MM (2007). Loss of zona pellucida binding proteins in the acrosomal matrix disrupts acrosome biogenesis and sperm morphogenesis. Molecul. Cellul. Biol. 27(19):6794-805. https://doi.org/10.1128/mcb.01029-07

Long C, and Gregory K (1978). Inheritance of the horned, scurred, and polled condition in cattle. J. Heredity. 69, 395–400. https://doi.org/10.1093/oxfordjournals.jhered.a108980

López-Gatius F (2012). Factors of a non-infectious nature affecting fertility after artificial insemination in lactating dairy cows: a review. Theriogenology. 77:1029-1041. https://doi.org/10.1016/j.theriogenology.2011.10.014

McLeskey SB, Dowds C, Carballada R, White RR, and Saling PM (1998). Molecules involved in mammalian sperm-egg interaction. Int. Rev. Cytol. 177: 57-113. https://doi.org/10.1016/s0074-7696(08)62231-7

Miranda PV, Allaire A, Sosnik J, and Visconti PE (2009). Localization of low-density detergent-resistant membrane proteins in intact and acrosome reacted mouse sperm. Biol. Reprod. 80: 897-904. https://doi.org/10.1095/biolreprod.108.075242

Moura AA, Memili E, Portela AMR, Viana AG, Velho ALC, Bezerra MJB, Vasconselos FR (2018). Seminal plasma protein and metabolites: effects on sperm fuction and potential as fertility markers. Anim. Reprod. 15(1):691-702. http://www.doi.org/10.21451/1984-3143-AR2018-0029

Mueller ML, Cole JB, Connors NK, Johnston DJ, Randhawa IAS, Van Eenennaam AL (2021). Comparison of Gene Editing Versus Conventional Breeding to Introgress the POLLED Allele Into the Tropically Adapted Australian Beef Cattle Population. Front. Genet. 12:593154. http://www.doi.org/10.3389/fgene.2021.593154

Mukhopadhyay CS, Gupta AK, Yadav BR, Chauhan IS, Gupta A, Mohanty TK, Raina VS (2011). Effect of cryopreservation on sperm chromatin integrity and fertilizing potential in bovine semen. Livest. Sci. 136:114–121. https://doi.org/10.1016/j.livsci.2010.08.010

Netherton JK, Hetherington L, Ogle RA, Velkov T, Baker MA (2018). Proteomic analysis of good-and poor-quality human sperm demonstrates that several proteins are rountinely aberrantly regulated. Biol. Reprod. 99(2):395-408. https://doi.org/10.1093/biolre/iox166

Nolte W, Thaller G, Kuehn C (2019). Selection signatures in four German warmblood horse breeds: Tracing breeding history in the modern sport horse. PLoS One. 14(4):e0215913. https://doi.org/10.1371%2Fjournal.pone.0215913

Pardede BP, Agil M, Yudi Y and Supriatna I (2020). Relationship of frozen-thawed semen quality with the fertility rate after being distributed in the Brahman Cross Breeding Program. Vet. World. 13(12): 2649-2657. https://doi.org/10.14202/vetworld.2020.2649-2657

Perreault SD (2002). Smart use of computer-aided sperm analysis (CASA) to characterize sperm motion. In: Robaire B, Hinton BT, editors. The Epididymis: From Molecules to Clinical Practice. Springer, Boston MA. https://doi.org/10.1007/978-1-4615-0679-9_27

Purdy PH (2006). A review on goat sperm cryopreservation. Small Rumin. Res., 63(3): 215-225. https://www.doi.org/10.1016/j.smallrumres.2005.02.015

Raafi M, Yusuf M, Toleng AL, Diansyah AM, Surahman and Sahiruddin (2021). Movement patterns of sperms at different bull breeds using computer-assisted sperm analysis (CASA). The 3rd International Conference of Animal Science and Technology. IOP Conferences. Series: Earth Environ. Sci. 708 (2021) 012137. https://doi.org/10.1088/1755-1315/788/1/012137

Ratnawati D, Isnaini N, Susilawati T (2019). Factors affecting spermatozoa motility analysis using CASA. Indonesian Bullet. Anim. Vet. Sci. 29: 145–52. : https://doi.org/10.14334/wartazoa.v29i3.2012%20

Ratnawati D, Luthfi M, Pamungkas D, Affandhy L (2020). Motility characterization of albumin sexed spermatozoa in two different diluents and additional antioxidant. J. Indonesian Trop. Anim. Agricult. 45(4): 277-286. https://doi.org/10.14710/jitaa.45.4.277-286

Richardson MF, Munyard K, Croft LJ, Allnutt TR, Jackling F, Alshanbari F, Jevit M, Wright GA, Cransberg R, Tibary A, Perelman P, Appleton B, and Raudsepp T (2019). Chromosome-Level Alpaca Reference Genome VicPac3.1 Improves Genomic Insight Into the Biology of New World Camelids. Front Genet. 10:586.  https://doi.org/10.3389/fgene.2019.00586

Rosyada ZNA, Tumbelaka LI, Ulum MF, Solohin DD, Kaiin EM, Gunawan M, Harsi T, Suharto K, Purwantara B (2021). Meta data analysis of conception rate in relation to sperm motility in Madura superior bulls. The 1st International Conference on Livestock in Tropical Environment. IOP Conferences. Series: Earth Environ. Sci. 902 (2021) 012048. https://doi.org/10.1088/1755-1315/902/1/012048

Said S (2020). Perbibitan sapi potong lokal Indonesia berbasis bioteknologi reproduksi mendorong percepatan swasembada daging nasional. Pusat penelitian bioteknologi. Lembaga ilmu pengetahuan. LIPI Press., Indonesia, Jakarta. 79(10): 653-1. Available at: https://pustaka-digital.kemdikbud.go.id/slims/index.php?p=show_detail&id=3317

Sharma V, Verma AK, Sharma P, Pandey D, Sharma M (2022) Differential proteomic profile of X- and Y- sorted Sahiwal bull semen. Res. Vet. Sci. 144:181-189. https://doi.org/10.1016/j.rvsc.2021.11.013

Shojaei H, Kroetsch T, Wilde R, Blondin P, Kastelic JP, Thundathil JC (2012). Moribund sperm in frozen-thawed semen, and sperm motion end points post-thaw and post-swim-up, are related to fertility in Holstein AI bulls. Theriogenology. 77(5):940-951. https://doi.org/10.1016/j.theriogenology.2011.09.026%20

Simonik O, Sichtar J, Krejcarkova A, Rajmon R, Stadnik L, Beran J, Dolezalova M, Biniova Z (2015). Computer assisted sperm analysis – the relationship to bull field fertility, possible errors and their impact on outputs: A review. Indian J. Anim. Sci. 85(1):3-11. Available at: https://www.semanticscholar.org/paper/Computer-assisted-sperm-analysis-the-relationship-A-Šimon%C3%ADk-Šichtař/1322cf0efe40d9334671d2b8010d11a2735261f6#citing-papers

Song C, Zhou H, Gao B, Sun L, Wu H, Wang X, Cgeb G, Mao J (2010). Molecular cloning of pig ZPBP2 and mRNA expression of ZPBP1 and ZPBP2 in reproductive tracts of boars. Anim. Reprod. Sci. 122(3-4):229-235. https://doi.org/10.1016/j.anireprosci.2010.08.016

Suarez SS, Ho HC (2003). Hyperactivated motility in sperm. Reproduction Domestication Animal. 38(2):119-24. https://doi.org/10.1046/j.1439-0531.2003.00397.x

Sun W, Li Y, Su J, Bao X, Ding R, Zhao G, Cao G, Hu S, Wang J, Sun Q, Yu H, Li X (2021). Correlation between in vitro fertilization and artificial insemination in Holstein bulls. Animal Bio Science. 34(12):1879-1885. https://doi.org/10.5713/ab.20.0665

Suzuki K, Geshi M, Yamaguchi N, Nagai T (2003). Functional Changes and Motility Characteristic of Japanese Black Bull Sperms Separated by Percoll. Anim. Reprod. Sci. 77:157- 172. https://doi.org/10.1016/S0378-4320(03)00035-6%20

Syarifuddin NA, Toleng AL, Rahrdja DP, Ismartoyo (2018). Computerized-Assisted Semen Analysis (CASA) to Predict Sperm Fertility of Bali Bulls. Prosiding Seminar Nasional Lingkungan Lahan Basah. 3(1):80-85. Available at: https://snllb.ulm.ac.id/prosiding/index.php/snllb-lit/article/view/22

Szklarczyk D, Franceschini A, Wyder S, Forslund K, Heller D, Huerta-Cepas J (2015). STRING v.10: Protein-protein interaction networks, integrated over the tree of life. Nucleic Acids Res. 43:447-452. https://doi.org/10.1093/nar/gku1003

Thundathil J, Gil J, Januskauskas A, Larsson B, Soderquist L, Mapletoft R, Rodriguez-Martinez H (1999). Relationship be- tween the proportion of capacitated spermatozoa present in frozen-thawed bull semen and fertility with artificial insemination. Int. J. Androl. 22:366–373. https://doi.org/10.1046/j.1365-2605 .1999.00194.x.

Thundathil, JC, Dance AL, Kastelic JP (2016). Fertility management of bulls to improve beef cattle productivity. Theriogenology. 86(1):397-405. http://dx.doi.org/10.1016/j.theriogenology.2016.04.054

Wang X, Yang C, Guo F, Zhang Y, Ju Z, Jiang Q, Zhao X, Liu Y, Zhao H, Wang J, Sun Y, Wang C, Zhu H, Huang J (2019). Integrated analysis of mRNAs and long noncoding RNAs in the semen from Holstein bulls with high and low sperm motility. Nature. 9:2092. https://doi.org/10.1038/s41598-018-38462-x

Yániz JL, Palacín I, Silvestre MA, Hidalgo CO, Tamargo C, Santolaria P (2021). Ability of the ISAS3Fun Method to Detect Sperm Acrosome Integrity and Its Potential to Discriminate between High and Low Field Fertility Bulls. Biol. 10(11):1135. https://doi.org/10.3390/biology10111135

Zhang T, Wu J, Liao C, Ni Z, Zheng J, Yu F (2018). System analysis of teratozoospermia mRNA profile based on integrated bioinformatics tools. Molecul. Med. Rep.. 18(2):1297-1304. https://doi.org/10.3892/mmr.2018.9112

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