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Doshi P, Bhalaiya C, Suthar V, Patidar V, Joshi C, Patel A, Raval I. Untargeted metabolomics of buffalo urine reveals hydracyrlic acid, 3-bromo-1-propanol and benzyl serine as potential estrus biomarkers. J Proteomics 2024; 296:105124. [PMID: 38364903 DOI: 10.1016/j.jprot.2024.105124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 02/06/2024] [Accepted: 02/07/2024] [Indexed: 02/18/2024]
Abstract
Buffalo is a silent heat animal and doesn't show prominent signs of estrous like cattle so it becomes difficult for farmers to determine the receptivity of the animal based purely on the animal behaviour. India, having a huge population size, needs to produce more milk for the population. Successful artificial insemination greatly depends on the receptivity of the animal. Hence the present study aimed to identify the changes in the metabolome of the buffalo. GC-MS based mass spectrometric analysis was deployed for the determination of estrous by differential expression of metabolites. It was found that hydracrylic acid, 3-bromo-1-propanol and benzyl serine were significantly upregulated in the estrous phase of buffalo (p.value ≤0.05, FC ≥ 2). The pathway enrichment analysis also supported the same as pathways related to amino acid metabolism and fatty acid metabolism were up regulated along with the Warburg effect which is linked to the rapid cell proliferation which might help prepare animals to meet the energy requirement during the estrous. Further analysis of the metabolic biomarkers using ROC analysis also supported these three metabolites as probable biomarkers as they were identified with AUC values of 0.7 or greater. SIGNIFICANCE: The present study focuses on the untargeted metabolomics studies of buffalo urine with special reference to the estrous phase of reproductive cycle. The estrous signals are more prominent in cattle, where animals show clear estrous signals such as mounting and discharge along with vocal signals. Buffalo is a silent heat animal and it becomes difficult for farmers to detect the estrous based on the physical and behavioral signals. Hence the present study focuses on GC-MS based untargeted metabolomics to identify differentially expressed urine metabolites. In this study, hydracrylic acid, 3-bromo-1-propanol and benzyl serine were found to be significantly upregulated in the estrous phase of buffalo (p-value ≤0.05, FC ≥ 2). Further confirmation of the metabolic biomarkers was done using Receiver operating characteristics (ROC) analysis which also supported these three metabolites as probable biomarkers as they had AUC values of 0.7 or greater. Hence, this study will be of prime importance for the people working in the area of animal metabolomics.
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Affiliation(s)
- Pooja Doshi
- Gujarat Biotechnology Research Centre (GBRC), 6(th) Floor MS Building, Sector 11, Gandhinagar, Gujarat 382010, India
| | - Chetana Bhalaiya
- Gujarat Biotechnology Research Centre (GBRC), 6(th) Floor MS Building, Sector 11, Gandhinagar, Gujarat 382010, India
| | - Vishal Suthar
- Kamdhenu University, Gandhinagar, Karmayogi Bhavan, Block-1, B1-Wing, 4th Floor, Sector-10-A, Gandhinagar, Gujarat 382010, India
| | - Vikas Patidar
- Gujarat Biotechnology Research Centre (GBRC), 6(th) Floor MS Building, Sector 11, Gandhinagar, Gujarat 382010, India
| | - Chaitanya Joshi
- Gujarat Biotechnology Research Centre (GBRC), 6(th) Floor MS Building, Sector 11, Gandhinagar, Gujarat 382010, India.
| | - Amrutlal Patel
- Gujarat Biotechnology Research Centre (GBRC), 6(th) Floor MS Building, Sector 11, Gandhinagar, Gujarat 382010, India.
| | - Ishan Raval
- Gujarat Biotechnology Research Centre (GBRC), 6(th) Floor MS Building, Sector 11, Gandhinagar, Gujarat 382010, India.
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Matějková T, Dodoková A, Kreisinger J, Stopka P, Stopková R. Microbial, proteomic, and metabolomic profiling of the estrous cycle in wild house mice. Microbiol Spectr 2024; 12:e0203723. [PMID: 38171017 PMCID: PMC10846187 DOI: 10.1128/spectrum.02037-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Accepted: 11/20/2023] [Indexed: 01/05/2024] Open
Abstract
Symbiotic microbial communities affect the host immune system and produce molecules contributing to the odor of an individual. In many mammalian species, saliva and vaginal fluids are important sources of chemical signals that originate from bacterial metabolism and may act as honest signals of health and reproductive status. In this study, we aimed to define oral and vaginal microbiomes and their dynamics throughout the estrous cycle in wild house mice. In addition, we analyzed a subset of vaginal proteomes and metabolomes to detect potential interactions with microbiomes. 16S rRNA sequencing revealed that both saliva and vagina are dominated by Firmicutes and Proteobacteria but differ at the genus level. The oral microbiome is more stable during the estrous cycle and most abundant bacteria belong to the genera Gemella and Streptococcus, while the vaginal microbiome shows higher bacterial diversity and dynamics during the reproductive cycle and is characterized by the dominance of Muribacter and Rodentibacter. These two genera cover around 50% of the bacterial community during estrus. Proteomic profiling of vaginal fluids revealed specific protein patterns associated with different estrous phases. Highly expressed proteins in estrus involve the keratinization process thus providing estrus markers (e.g., Hrnr) while some proteins are downregulated such as immune-related proteins that limit bacterial growth (Camp, Clu, Elane, Lyz2, and Ngp). The vaginal metabolome contains volatile compounds potentially involved in chemical communication, for example, ketones, aldehydes, and esters of carboxylic acids. Data integration of all three OMICs data sets revealed high correlations, thus providing evidence that microbiomes, host proteomes, and metabolomes may interact.IMPORTANCEOur data revealed dynamic changes in vaginal, but not salivary, microbiome composition during the reproductive cycle of wild mice. With multiple OMICs platforms, we provide evidence that changes in microbiota in the vaginal environment are accompanied by changes in the proteomic and metabolomics profiles of the host. This study describes the natural microbiota of wild mice and may contribute to a better understanding of microbiome-host immune system interactions during the hormonal and cellular changes in the female reproductive tract. Moreover, analysis of volatiles in the vaginal fluid shows particular substances that can be involved in chemical communication and reproductive behavior.
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Affiliation(s)
- Tereza Matějková
- Department of Zoology, Faculty of Science, Charles University, BIOCEV, Vestec, Czechia
| | - Alica Dodoková
- Department of Zoology, Faculty of Science, Charles University, BIOCEV, Vestec, Czechia
| | - Jakub Kreisinger
- Department of Zoology, Faculty of Science, Charles University, BIOCEV, Vestec, Czechia
| | - Pavel Stopka
- Department of Zoology, Faculty of Science, Charles University, BIOCEV, Vestec, Czechia
| | - Romana Stopková
- Department of Zoology, Faculty of Science, Charles University, BIOCEV, Vestec, Czechia
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Liu M, Zhang C, Chen J, Xu Q, Liu S, Chao X, Yang H, Wang T, Muhammad A, Schinckel AP, Zhou B. Characterization and analysis of transcriptomes of multiple tissues from estrus and diestrus in pigs. Int J Biol Macromol 2024; 256:128324. [PMID: 38007026 DOI: 10.1016/j.ijbiomac.2023.128324] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 11/01/2023] [Accepted: 11/12/2023] [Indexed: 11/27/2023]
Abstract
A comprehensive understanding of the complex regulatory mechanisms governing estrus and ovulation across multiple tissues in mammals is imperative to improve the reproductive performance of livestock and mitigate ovulation-related disorders in humans. To comprehensively elucidate the regulatory landscape, we analyzed the transcriptome of protein-coding genes and long intergenic non-coding RNAs (lincRNAs) in 58 samples (including the hypothalamus, pituitary, ovary, vagina, and vulva) derived from European Large White gilts and Chinese Mi gilts during estrus and diestrus. We constructed an intricate regulatory network encompassing 358 hub genes across the five examined tissues. Furthermore, our investigation identified 85 differentially expressed lincRNAs that are predicted to target 230 genes associated with critical functions including behavior, receptors, and apoptosis. Importantly, we found that vital components of estrus and ovulation events involve "Apoptosis" pathway in the hypothalamus, "Autophagy" in the ovary, as well as "Hypoxia" and "Angiogenesis" in the vagina and vulva. We have identified several differentially expressed transcription factors (TFs), such as SPI1 and HES2, which regulate these pathways. SPI1 may suppress transcription in the autophagy pathway, promoting apoptosis and inhibiting the proliferation of ovarian granulosa cells. Our study provides the most comprehensive transcriptional profiling information related to estrus and ovulation events.
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Affiliation(s)
- Mingzheng Liu
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China.
| | - Chunlei Zhang
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China.
| | - Jiahao Chen
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China.
| | - Qinglei Xu
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China.
| | - Shuhan Liu
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China.
| | - Xiaohuan Chao
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China.
| | - Huan Yang
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China.
| | - Tianshuo Wang
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China.
| | - Asim Muhammad
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China.
| | - Allan P Schinckel
- Department of Animal Sciences, Purdue University, West Lafayette, IN 47907-2054, USA.
| | - Bo Zhou
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China.
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Roberts HE, Fanson KV, Hodgens N, Parrott ML, Bennett P, Jamieson LT. Scent detection dogs as a novel method for oestrus detection in an endangered species, the Tasmanian devil ( Sarcophilus harrisii). Front Vet Sci 2023; 10:1224172. [PMID: 37915949 PMCID: PMC10616266 DOI: 10.3389/fvets.2023.1224172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 09/21/2023] [Indexed: 11/03/2023] Open
Abstract
Captive breeding is a critical tool for conservation of endangered species. Identifying the correct time to pair males and females can be a major challenge for captive breeding programmes, with current methods often being invasive or slow. Detection dogs may provide a non-invasive way to determine female receptivity, but this has not been explored in captive wildlife. This exploratory study investigated the use of detection dogs as a novel method of oestrus detection in the endangered Tasmanian devil (Sarcophilus harrisii). Faecal samples were collected from 11 captive female devils during the breeding seasons of 2020 and 2021. Three dogs with prior detection experience were trained and subsequently assessed (n = 188 searches per dog), on their ability to discriminate between oestrus and non-oestrus devil faecal samples, in a one sample set-up. When assessed on training samples, dogs were able to correctly discriminate oestrus from non-oestrus with a mean sensitivity of 69.1% and mean specificity of 65.7%. When assessed on novel samples, their sensitivity to oestrus dropped (mean sensitivity of 48.6%). However, they were still able to correctly identify non-oestrus samples (mean specificity of 68.1%). This study is the first to explore detection dogs' ability to identify oestrus in a captive breeding programme for endangered wildlife, providing a promising tool for non-invasive monitoring of reproductive status in wildlife.
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Affiliation(s)
- Hannah E. Roberts
- Wildlife Conservation and Reproductive Endocrinology Lab, School of Agriculture, Biomedicine and Environment, La Trobe University, Melbourne, VIC, Australia
| | - Kerry V. Fanson
- Wildlife Conservation and Reproductive Endocrinology Lab, School of Agriculture, Biomedicine and Environment, La Trobe University, Melbourne, VIC, Australia
| | - Naomi Hodgens
- Wildlife Detection Dog Program, Wildlife Conservation & Science, Zoos Victoria, Melbourne, VIC, Australia
| | - Marissa L. Parrott
- Wildlife Conservation & Science, Zoos Victoria, Parkville, VIC, Australia
| | - Pauleen Bennett
- Anthrozoology Research Group, Department of Psychology, Counselling and Therapy, La Trobe University, Bendigo, VIC, Australia
| | - La Toya Jamieson
- Wildlife Detection Dog Program, Wildlife Conservation & Science, Zoos Victoria, Melbourne, VIC, Australia
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Ataabadi MS, Bahmanpour S, Yousefinejad S, Alaee S. Blood volatile organic compounds as potential biomarkers for poly cystic ovarian syndrome (PCOS): An animal study in the PCOS rat model. J Steroid Biochem Mol Biol 2023; 226:106215. [PMID: 36332782 DOI: 10.1016/j.jsbmb.2022.106215] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 10/28/2022] [Accepted: 10/30/2022] [Indexed: 11/06/2022]
Abstract
Polycystic ovary syndrome (PCOS) as a common metabolic and endocrinological disorder can affect the metabolic profile in biological fluids. We studied the profile of blood volatile organic compounds (VOCs) in rats with PCOS and controls to identify potential specific biomarkers of blood VOCs in PCOS rats. For this purpose, 30 female adult Wistar rats were assigned to two groups: control and PCOS groups. PCOS model was induced using letrozole gavage (1 mg/kg) for 21 days. The rats in the control group received water of the same volume for 21 days. During treatment, a collection of vaginal smears was done every day for estrus cycle determination and weight was measured weekly. On the day after the last administration of letrozole, the rats were killed and their blood and ovaries were collected. Testosterone levels and histologic changes in ovaries were examined. Also, headspace-solid phase microextraction-gas chromatography-mass spectrometry (HS-SPME-GC-MS) analyzed the VOCs in the blood of PCOS and control rats. Multivariate and univariate statistical analyses were used to find the potential biomarkers for a rat model of PCOS. Weight gain, ovarian and vaginal pathological alteration, as well as hyperandrogenemia, confirmed the successful induction of the PCOS in rats. The results of blood VOCs analysis showed that nine VOCs were significantly elevated and one VOC decreased in the PCOS group than the control group (P < 0/05). The partial least-squares discriminant analysis (PLS-DA) and principal component analysis (PCA) showed good separation of VOCs between the PCOS rats and the control group. The 4-ethylphenol and capric (decanoic) acid were selected as the potential biomarkers for PCOS diagnosis in the blood of the PCOS rats. The blood of PCOS rats had a specific profile of VOCs, which could be detected by GC-MS analysis. These findings can pave the way for further studies towards developing a new screening method for PCOS detection and studying their pathology, based on VOCs analysis.
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Affiliation(s)
- Mahmoud Sadeghi Ataabadi
- Department of Reproductive Biology, School of Advanced Medical Sciences and Technologies, Shiraz Univcersity of Medical Sciences, Shiraz, Iran
| | - Soghra Bahmanpour
- Department of Anatomy, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Saeed Yousefinejad
- Research Center for Health Sciences, Institute of Health, Department of Occupational Health Engineering, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran.
| | - Sanaz Alaee
- Department of Reproductive Biology, School of Advanced Medical Sciences and Technologies, Shiraz Univcersity of Medical Sciences, Shiraz, Iran
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