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Koh YQ, Peiris HN, Vaswani K, Almughlliq FB, Meier S, Burke CR, Roche JR, Reed CB, Arachchige BJ, Reed S, Mitchell MD. Proteome profiling of exosomes derived from plasma of heifers with divergent genetic merit for fertility. J Dairy Sci 2018; 101:6462-6473. [PMID: 29705424 DOI: 10.3168/jds.2017-14190] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2017] [Accepted: 03/16/2018] [Indexed: 12/12/2022]
Abstract
The current study evaluated exosomes isolated from plasma of heifers bred to have high or low fertility through developing extreme diversity in fertility breeding values, however, key animal traits (e.g., body weight, milk production, and percentage of North American genetics) remained similar between the 2 groups. The exosomes were isolated by a combined ultracentrifugation and size exclusion chromatography approach and characterized by their size distribution (nanoparticle tracking analysis), morphology (transmission electron microscopy), and presence of exosomal markers (immunoblotting). In addition, a targeted mass spectrometry approach was used to confirm the presence of 2 exosomal markers, tumor susceptibility gene 101 and flotillin 1. The number of exosomes from plasma of high fertility heifers was greater compared with low fertility heifers. Interestingly, the exosomal proteomic profile, evaluated using mass spectrometry, identified 89 and 116 proteins in the high and low fertility heifers respectively, of which 4 and 31 were unique, respectively. These include proteins associated with specific biological processes and molecular functions of fertility. Most notably, the tetratricopeptide repeat protein 41-related, glycodelin, and kelch-like protein 8 were identified in plasma exosomes unique to the low fertility heifers. These proteins are suggested to play a role in reproduction; however, the role of these proteins in dairy cow reproduction remains to be elucidated. Their identification underscores the potential for proteins within exosomes to provide information on the fertility status and physiological condition of the cow. This may potentially lead to the development of prognostic tools and interventions to improving dairy cow fertility.
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Affiliation(s)
- Yong Qin Koh
- University of Queensland Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Brisbane, Queensland 4029, Australia
| | - Hassendrini N Peiris
- University of Queensland Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Brisbane, Queensland 4029, Australia
| | - Kanchan Vaswani
- University of Queensland Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Brisbane, Queensland 4029, Australia
| | - Fatema B Almughlliq
- University of Queensland Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Brisbane, Queensland 4029, Australia
| | - Susanne Meier
- DairyNZ Ltd., Private Bag 3221, Hamilton 3240, New Zealand
| | - Chris R Burke
- DairyNZ Ltd., Private Bag 3221, Hamilton 3240, New Zealand
| | - John R Roche
- DairyNZ Ltd., Private Bag 3221, Hamilton 3240, New Zealand; School of Biological Sciences, University of Auckland, Private Bag 92019, Auckland 1142, New Zealand
| | | | - Buddhika J Arachchige
- University of Queensland Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Brisbane, Queensland 4029, Australia
| | - Sarah Reed
- University of Queensland Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Brisbane, Queensland 4029, Australia
| | - Murray D Mitchell
- University of Queensland Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Brisbane, Queensland 4029, Australia.
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Dickinson SE, Griffin BA, Elmore MF, Kriese-Anderson L, Elmore JB, Dyce PW, Rodning SP, Biase FH. Transcriptome profiles in peripheral white blood cells at the time of artificial insemination discriminate beef heifers with different fertility potential. BMC Genomics 2018; 19:129. [PMID: 29426285 PMCID: PMC5807776 DOI: 10.1186/s12864-018-4505-4] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2017] [Accepted: 01/29/2018] [Indexed: 11/21/2022] Open
Abstract
Background Infertility is a longstanding limitation in livestock production with important economic impact for the cattle industry. Female reproductive traits are polygenic and lowly heritable in nature, thus selection for fertility is challenging. Beef cattle operations leverage estrous synchronization in combination with artificial insemination (AI) to breed heifers and benefit from an early and uniform calving season. A couple of weeks following AI, heifers are exposed to bulls for an opportunity to become pregnant by natural breeding (NB), but they may also not become pregnant during this time period. Focusing on beef heifers, in their first breeding season, we hypothesized that: a- at the time of AI, the transcriptome of peripheral white blood cells (PWBC) differs between heifers that become pregnant to AI and heifers that become pregnant late in the breeding season by NB or do not become pregnant during the breeding season; and b- the ratio of transcript abundance between genes in PWBC classifies heifers according to pregnancy by AI, NB, or failure to become pregnant. Results We generated RNA-sequencing data from 23 heifers from two locations (A: six AI-pregnant and five NB-pregnant; and B: six AI-pregnant and six non-pregnant). After filtering out lowly expressed genes, we quantified transcript abundance for 12,538 genes. The comparison of gene expression levels between AI-pregnant and NB-pregnant heifers yielded 18 differentially expressed genes (DEGs) (ADAM20, ALDH5A1, ANG, BOLA-DQB, DMBT1, FCER1A, GSTM3, KIR3DL1, LOC107131247, LOC618633, LYZ, MNS1, P2RY12, PPP1R1B, SIGLEC14, TPPP, TTLL1, UGT8, eFDR≤0.02). The comparison of gene expression levels between AI-pregnant and non-pregnant heifers yielded six DEGs (ALAS2, CNKSR3, LOC522763, SAXO2, TAC3, TFF2, eFDR≤0.05). We calculated the ratio of expression levels between all gene pairs and assessed their potential to classify samples according to experimental groups. Considering all samples, relative expression from two gene pairs correctly classified 10 out of 12 AI-pregnant heifers (P = 0.0028) separately from the other 11 heifers (NB-pregnant, or non-pregnant). Conclusion The transcriptome profile in PWBC, at the time of AI, is associated with the fertility potential of beef heifers. Transcript levels of specific genes may be further explored as potential classifiers, and thus selection tools, of heifer fertility. Electronic supplementary material The online version of this article (10.1186/s12864-018-4505-4) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Sarah E Dickinson
- Department of Animal Sciences, Auburn University, 559 Devall Dr, Auburn, AL, 36839, USA.,Alabama Cooperative Extension System, Auburn, AL, USA
| | - Brock A Griffin
- Department of Animal Sciences, Auburn University, 559 Devall Dr, Auburn, AL, 36839, USA
| | - Michelle F Elmore
- Department of Animal Sciences, Auburn University, 559 Devall Dr, Auburn, AL, 36839, USA.,Alabama Cooperative Extension System, Auburn, AL, USA
| | - Lisa Kriese-Anderson
- Department of Animal Sciences, Auburn University, 559 Devall Dr, Auburn, AL, 36839, USA
| | | | - Paul W Dyce
- Department of Animal Sciences, Auburn University, 559 Devall Dr, Auburn, AL, 36839, USA
| | - Soren P Rodning
- Department of Animal Sciences, Auburn University, 559 Devall Dr, Auburn, AL, 36839, USA
| | - Fernando H Biase
- Department of Animal Sciences, Auburn University, 559 Devall Dr, Auburn, AL, 36839, USA.
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Abstract
Failure of embryo implantation is a major limiting factor in early pregnancy and assisted reproduction. Determinants of implantation include the embryo viability, the endometrial receptivity, and embryo-maternal interactions. Multiple molecules are involved in the regulation of implantation, but their specific regulatory mechanisms remain unclear. MicroRNA (miRNA), functioning as the transcriptional regulator of gene expression, has been widely reported to be involved in embryo implantation. Recent studies reveal that miRNAs not only act inside the cells, but also can be released by cells into the extracellular environment through multiple packaging forms, facilitating intercellular communication and providing indicative information associated with physiological and pathological conditions. The discovery of extracellular miRNAs shed new light on implantation studies. MiRNAs provide new mechanisms for embryo-maternal communication. Moreover, they may serve as non-invasive biomarkers for embryo selection and assessment of endometrial receptivity in assisted reproduction, which improves the accuracy of evaluation while reducing the mechanical damage to the tissue. In this review, we discuss the involvement of miRNAs in embryo implantation from several aspects, focusing on the role of extracellular miRNAs and their potential applications in assisted reproductive technologies (ART) to promote fertility efficiency.
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Affiliation(s)
- Jingjie Liang
- College of Animal Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, 310058 People’s Republic of China
| | - Shaoyu Wang
- College of Animal Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, 310058 People’s Republic of China
| | - Zhengguang Wang
- College of Animal Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, 310058 People’s Republic of China
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