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Yu C, Lin Z, Song X, Hu C, Qiu M, Yang L, Zhang Z, Pen H, Chen J, Xiong X, Xia B, Jiang X, Du H, Li Q, Zhu S, Liu S, Yang C, Liu Y. Whole transcriptome analysis reveals the key genes and noncoding RNAs related to follicular atresia in broilers. Anim Biotechnol 2023; 34:3144-3153. [PMID: 36306258 DOI: 10.1080/10495398.2022.2136680] [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] [Indexed: 11/01/2022]
Abstract
Broodiness, a maternal behavior, is accompanied by the atresia of follicles and the serious degradation of poultry reproductive performance. The comparison of follicles between brooding and laying hens is usually an ideal model for exploring the regulation mechanism of follicle atresia. In this study, we selected three brooding hens and three laying hens to collect their follicles for whole transcriptome sequencing. The results demonstrated different expression patterns between the follicles of brooding hens and laying hens. In the top 10 differentially expressed genes with the highest expression, MMP10 was relatively low expressed in the follicles of brooding hens, but other nine genes were relatively highly expressed, including LRR1, RACK1, SPECC1L, ABHD2, COL6A3, RPS17, ATRN, BIRC6, PGAM1 and SPECC1L. While miR-21-3p, miR-146a-5p, miR-142-5p and miR-1b-3p were highly expressed in the follicles of brooding hen, miR-106-5p, miR-451, miR-183, miR-7, miR-2188-5p and miR-182-5p were lowly expressed in brooding hen. In addition, we identified 124 lncRNAs specifically expressed in the follicles of brooding hens and 147 lncRNAs specifically expressed in the follicles of laying hens. Our results may provide a theoretical basis for further exploration of the molecular mechanism of broodiness in broilers.
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Affiliation(s)
- Chunlin Yu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, China
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Animal Science Academy, Chengdu, China
| | - Zhongzhen Lin
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, China
| | - Xiaoyan Song
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Animal Science Academy, Chengdu, China
| | - Chenming Hu
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Animal Science Academy, Chengdu, China
| | - Mohan Qiu
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Animal Science Academy, Chengdu, China
| | - Li Yang
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Animal Science Academy, Chengdu, China
| | - Zengrong Zhang
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Animal Science Academy, Chengdu, China
| | - Han Pen
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Animal Science Academy, Chengdu, China
| | - Jialei Chen
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Animal Science Academy, Chengdu, China
| | - Xia Xiong
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Animal Science Academy, Chengdu, China
| | - Bo Xia
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Animal Science Academy, Chengdu, China
| | - Xiaosong Jiang
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Animal Science Academy, Chengdu, China
| | - Huarui Du
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Animal Science Academy, Chengdu, China
| | - Qingyun Li
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Animal Science Academy, Chengdu, China
| | - Shiliang Zhu
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Animal Science Academy, Chengdu, China
| | - Siyang Liu
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Animal Science Academy, Chengdu, China
| | - Chaowu Yang
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Animal Science Academy, Chengdu, China
| | - Yiping Liu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, China
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Lopez J, Hohensee G, Liang J, Sela M, Johnson J, Kallen AN. The Aging Ovary and the Tales Learned Since Fetal Development. Sex Dev 2023; 17:156-168. [PMID: 37598664 PMCID: PMC10841896 DOI: 10.1159/000532072] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 07/13/2023] [Indexed: 08/22/2023] Open
Abstract
BACKGROUND While the term "aging" implies a process typically associated with later life, the consequences of ovarian aging are evident by the time a woman reaches her forties, and sometimes earlier. This is due to a gradual decline in the quantity and quality of oocytes which occurs over a woman's reproductive lifespan. Indeed, the reproductive potential of the ovary is established even before birth, as the proper formation and assembly of the ovarian germ cell population during fetal life determines the lifetime endowment of oocytes and follicles. In the ovary, sophisticated molecular processes have been identified that regulate the timing of ovarian aging and these are critical to ensuring follicular maintenance. SUMMARY The mechanisms thought to contribute to overall aging have been summarized under the term the "hallmarks of aging" and include such processes as DNA damage, mitochondrial dysfunction, telomere attrition, genomic instability, and stem cell exhaustion, among others. Similarly, in the ovary, molecular processes have been identified that regulate the timing of ovarian aging and these are critical to ensuring follicular maintenance. In this review, we outline critical processes involved in ovarian aging, highlight major achievements for treatment of ovarian aging, and discuss ongoing questions and areas of debate. KEY MESSAGES Ovarian aging is recognized as what may be a complex process in which age, genetics, environment, and many other factors contribute to the size and depletion of the follicle pool. The putative hallmarks of reproductive aging outlined herein include a diversity of plausible processes contributing to the depletion of the ovarian reserve. More research is needed to clarify if and to what extent these putative regulators do in fact govern follicle and oocyte behavior, and how these signals might be integrated in order to control the overall pattern of ovarian aging.
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Affiliation(s)
- Jesus Lopez
- Department of Obstetrics, Gynecology and Reproductive Sciences, Yale University School of Medicine, New Haven, CT, USA
| | - Gabe Hohensee
- Department of Obstetrics, Gynecology and Reproductive Sciences, Yale University School of Medicine, New Haven, CT, USA
| | - Jing Liang
- Department of Obstetrics, Gynecology and Reproductive Sciences, Yale University School of Medicine, New Haven, CT, USA
| | - Meirav Sela
- Department of Obstetrics, Gynecology and Reproductive Sciences, Yale University School of Medicine, New Haven, CT, USA
| | - Joshua Johnson
- Department of Obstetrics and Gynecology, University of Colorado Denver, Aurora, CO, USA
| | - Amanda N. Kallen
- Department of Obstetrics, Gynecology and Reproductive Sciences, Yale University School of Medicine, New Haven, CT, USA
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Johnson J, Emerson JW, Lawley SD. Recapitulating human ovarian aging using random walks. PeerJ 2022; 10:e13941. [PMID: 36032944 PMCID: PMC9406804 DOI: 10.7717/peerj.13941] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Accepted: 08/02/2022] [Indexed: 01/19/2023] Open
Abstract
Mechanism(s) that control whether individual human primordial ovarian follicles (PFs) remain dormant, or begin to grow, are all but unknown. One of our groups has recently shown that activation of the Integrated Stress Response (ISR) pathway can slow follicular granulosa cell proliferation by activating cell cycle checkpoints. Those data suggest that the ISR is active and fluctuates according to local conditions in dormant PFs. Because cell cycle entry of (pre)granulosa cells is required for PF growth activation (PFGA), we propose that rare ISR checkpoint resolution allows individual PFs to begin to grow. Fluctuating ISR activity within individual PFs can be described by a random process. In this article, we model ISR activity of individual PFs by one-dimensional random walks (RWs) and monitor the rate at which simulated checkpoint resolution and thus PFGA threshold crossing occurs. We show that the simultaneous recapitulation of (i) the loss of PFs over time within simulated subjects, and (ii) the timing of PF depletion in populations of simulated subjects equivalent to the distribution of the human age of natural menopause can be produced using this approach. In the RW model, the probability that individual PFs grow is influenced by regionally fluctuating conditions, that over time manifests in the known pattern of PFGA. Considered at the level of the ovary, randomness appears to be a key, purposeful feature of human ovarian aging.
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Affiliation(s)
- Joshua Johnson
- Department of Obstetrics and Gynecology, University of Colorado-Anschutz Medical Center, Aurora, Colorado, United States
| | - John W. Emerson
- Department of Statistics and Data Science, Yale University, New Haven, Connecticut, United States
| | - Sean D. Lawley
- Department of Mathematics, University of Utah, Salt Lake City, Utah, United States
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Physiological Ovarian Aging Is Associated with Altered Expression of Post-Translational Modifications in Mice. Int J Mol Sci 2021; 23:ijms23010002. [PMID: 35008428 PMCID: PMC8744712 DOI: 10.3390/ijms23010002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Revised: 12/09/2021] [Accepted: 12/10/2021] [Indexed: 12/22/2022] Open
Abstract
Post-translational modifications (PTMs) have been confirmed to be involved in multiple female reproductive events, but their role in physiological ovarian aging is far from elucidated. In this study, mice aged 3, 12 or 17 months (3M, 12M, 17M) were selected as physiological ovarian aging models. The expression of female reproductive function-related genes, the global profiles of PTMs, and the level of histone modifications and related regulatory enzymes were examined during physiological ovarian aging in the mice by quantitative real-time PCR and western blot, respectively. The results showed that the global protein expression of Kbhb (lysineβ-hydroxybutyryllysine), Khib (lysine 2-hydroxyisobutyryllysine), Kglu (lysineglutaryllysine), Kmal (lysinemalonyllysine), Ksucc (lysinesuccinyllysine), Kcr (lysinecrotonyllysine), Kbu (lysinebutyryllysine), Kpr (lysinepropionyllysine), SUMO1 (SUMO1 modification), ub (ubiquitination), P-Typ (phosphorylation), and 3-nitro-Tyr (nitro-tyrosine) increased significantly as mice aged. Moreover, the modification level of Kme2 (lysinedi-methyllysine) and Kac (lysineacetyllysine) was the highest in the 3M mice and the lowest in 12M mice. In addition, only trimethylation of histone lysine was up-regulated progressively and significantly with increasing age (p < 0.001), H4 ubiquitination was obviously higher in the 12M and 17M mice than 3M (p < 0.001), whereas the modification of Kpr (lysinepropionylation) and O-GlcNA in 17M was significantly decreased compared with the level in 3M mice (p < 0.05, p < 0.01). Furthermore, the expression levels of the TIP60, P300, PRDM9, KMT5B, and KMT5C genes encoding PTM regulators were up-regulated in 17M compared to 3M female mice (p < 0.05). These findings indicate that altered related regulatory enzymes and PTMs are associated with physiological ovarian aging in mice, which is expected to provide useful insights for the delay of ovarian aging and the diagnosis and treatment of female infertility.
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Zhou M, Liu X, Qiukai E, Shang Y, Zhang X, Liu S, Zhang X. Long non-coding RNA Xist regulates oocyte loss via suppressing miR-23b-3p/miR-29a-3p maturation and upregulating STX17 in perinatal mouse ovaries. Cell Death Dis 2021; 12:540. [PMID: 34035229 PMCID: PMC8149765 DOI: 10.1038/s41419-021-03831-4] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Revised: 05/12/2021] [Accepted: 05/13/2021] [Indexed: 02/04/2023]
Abstract
The fecundity of female mammals is resolved by the limited size of the primordial follicle (PF) pool formed perinatally. The establishment of PF pool is accompanied by a significant programmed oocyte death. Long non-coding RNAs (lncRNA) are central modulators in regulating cell apoptosis or autophagy in multiple diseases, however, the significance of lncRNAs governing perinatal oocyte loss remains unknown. Here we find that Yin-Yang 1 (YY1) directly binds to the lncRNA X-inactive-specific transcript (Xist) promoter and facilitates Xist expression in the perinatal mouse ovaries. Xist is highly expressed in fetal ovaries and sharply downregulated along with the establishment of PF pool after birth. Gain or loss of function analysis reveals that Xist accelerates oocyte autophagy, mainly through binding to pre-miR-23b or pre-miR-29a in the nucleus and preventing the export of pre-miR-23b/pre-miR-29a to the cytoplasm, thus resulting in decreased mature of miR-23b-3p/miR-29a-3p expression and upregulation miR-23b-3p/miR-29a-3p co-target, STX17, which is essential for timely control of the degree of oocyte death in prenatal mouse ovaries. Overall, these findings identify Xist as a key non-protein factor that can control the biogenesis of miR-23b-3p/miR-29a-3p, and this YY1-Xist-miR-23b-3p/miR-29a-3p-STX17 regulatory axis is responsible for perinatal oocyte loss through autophagy.
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Affiliation(s)
- Meng Zhou
- grid.89957.3a0000 0000 9255 8984State Key Laboratory of Reproductive Medicine, Nanjing Medical University, 211166 Nanjing, China
| | - Xiaoqiu Liu
- grid.89957.3a0000 0000 9255 8984Department of Microbiology, Key Laboratory of Pathogen Biology of Jiangsu Province, Nanjing Medical University, 211166 Nanjing, China
| | - E. Qiukai
- grid.89957.3a0000 0000 9255 8984State Key Laboratory of Reproductive Medicine, Nanjing Medical University, 211166 Nanjing, China
| | - Yanxing Shang
- grid.89957.3a0000 0000 9255 8984State Key Laboratory of Reproductive Medicine, Nanjing Medical University, 211166 Nanjing, China
| | - Xiaoqian Zhang
- grid.89957.3a0000 0000 9255 8984State Key Laboratory of Reproductive Medicine, Nanjing Medical University, 211166 Nanjing, China
| | - Shuting Liu
- grid.89957.3a0000 0000 9255 8984State Key Laboratory of Reproductive Medicine, Nanjing Medical University, 211166 Nanjing, China
| | - Xuesen Zhang
- grid.89957.3a0000 0000 9255 8984State Key Laboratory of Reproductive Medicine, Nanjing Medical University, 211166 Nanjing, China
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Vitrification leads to transcriptomic modifications of mice ovaries that do not affect folliculogenesis progression. Reprod Biol 2020; 20:264-272. [PMID: 32044207 DOI: 10.1016/j.repbio.2020.02.001] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2019] [Revised: 12/20/2019] [Accepted: 02/03/2020] [Indexed: 02/07/2023]
Abstract
Ovarian tissue cryopreservation is emerging as a promising alternative for fertility preservation of cancer survivors. To date, more than a hundred couples have successfully had babies using this procedure, although it is still considered experimental and demands further investigation. In this work, we evaluated the effects of vitrification, warming and autotransplantation procedures on the morphology and gene expression of murine ovaries. Ovaries were removed from adult female C57BL6 mice (n = 15), vitrified, warmed and autotransplanted (vitrified group), additionally, ovaries were autotransplanted without vitrification (control group, n = 15). After twenty days, grafted ovaries were harvested and used for histological and ultrastructural analysis, germinal vesicle (GV) oocyte collection, RNA sequencing, and Transmission Electron Microscopy (TEM). All classes of follicles and GV were observed in both control and vitrified/warmed transplanted ovaries, and the numbers of primordial, antral and atretic follicles were not different (p > 0.05). Using RNA-seq, we detected 16,602 vs 13,527 expressed genes in vitrified and control ovaries, respectively; and 623 significantly dysregulated genes (fold change >1.5; 332 up-regulated and 291 down-regulated). Cellular membranes, cytoskeletons, and extracellular matrices were found as the main functions of the differentially expressed genes. Moreover, vitrified samples also presented ultrastructural alterations in the cytoskeleton, cell junctions, and endoplasmic reticulum. Taken together, this work showed for the first time that ovarian cells might trigger a compensatory gene regulation mechanism to maintain cellular structure and folliculogenesis progression after vitrification and autotransplantation.
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