Dataset Information

Identifying the Interaction of the Brain and the Pituitary in Social- and Reproductive- State of Tilapia by Transcriptome Analyses

ABSTRACT: Introduction: reproduction in fish, as in all vertebrates, is regulated by GnRH control on gonadotropic hormones (GTH) activity. However, the neuroendocrine factors that promote GnRH and GTH activity are unknown. In Nile tilapia (Oreochromis niloticus), sexual activity and the ability to reproduce depend on social rank; only dominant males and females reproduce. Here, this characteristic of dominant fish allows us to compare brain and pituitary gene expression in animals that do and do not reproduce, aiming to reveal mechanisms that regulate reproduction. Methods: an extensive transcriptome analysis was performed, combining two sets of transcriptomes: a novel whole-brain and pituitary transcriptome of established dominant males identified by behavioral assays, together with a cell-specific transcriptome of LH and FSH cells. Results: in most dominant fish, as determined behaviorally, the gonadosomatic index (GSI) was higher than in subordinate fish, and the leading upregulated pituitary genes were those coding for GTHs. In the brain, various neuropeptide genes, including oxytocin, cholecystokinin, and MCH, were upregulated; these may be related to reproductive status through effects on behavior and feeding. In a network analysis combining the two transcriptome sets, brain aromatase (cyp19a1b), which is specifically expressed in LH cells, is the most central gene with the highest number of connections. Conclusions: the close correlation between behavioral dominance and reproductive capacity in tilapia allows us to unravel novel genes that may partake in the regulation of the HPG axis, highlighting aromatase as an important factor in integrating the brain and pituitary factors that maintain a sexually active organism.

ORGANISM(S): Oreochromis niloticus

PROVIDER: GSE169272 | GEO | 2022/04/30

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:This a model from the article: A mathematical model of luteinizing hormone release from ovine pituitary cells in perifusion. Heinze K, Keener RW, Midgley AR Jr. Am J Physiol 1998 Dec;275(6 Pt 1):E1061-71 9843750 , Abstract: We model the effect of gonadotropin-releasing hormone (GnRH) on the production of luteinizing hormone (LH) by the ovine pituitary. GnRH, released by the hypothalamus, stimulates the secretion of LH from the pituitary. If stimulus pulses are regular, LH response will follow a similar pattern. However, during application of GnRH at high frequencies or concentrations or with continuous application, the pituitary delivers a decreased release of LH (termed desensitization). The proposed mathematical model consists of a system of nonlinear differential equations and incorporates two possible mechanisms to account for this observed behavior: desensitized receptor and limited, available LH. Desensitization was provoked experimentally in vitro by using ovine pituitary cells in a perifusion system. The model was fit to resulting experimental data by using maximum-likelihood estimation. Consideration of smaller models revealed that the desensitized receptor is significant. Limited, available LH was significant in three of four chambers. Throughout, the proposed model was in excellent agreement with experimental data. This model was taken from the CellML repository and automatically converted to SBML. The original model was: Heinze K, Keener RW, Midgley AR Jr. (1998) - version02 The original CellML model was created by: Lloyd, Catherine, May c.lloyd@aukland.ac.nz The University of Auckland The Bioengineering Institute This model originates from BioModels Database: A Database of Annotated Published Models (http://www.ebi.ac.uk/biomodels/). It is copyright (c) 2005-2011 The BioModels.net Team. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information. In summary, you are entitled to use this encoded model in absolutely any manner you deem suitable, verbatim, or with modification, alone or embedded it in a larger context, redistribute it, commercially or not, in a restricted way or not.. To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.

Project description:The molecular mechanisms that regulate the pivotal transformation processes observed in the follicular wall following the pre-ovulatory LH-surge, are still not established, particularly for cells of the thecal layer. To elucidate thecal and granulosa cell type-specific biological functions and signaling pathways, large dominant bovine follicles were collected before and 21 hrs after an exogenous GnRH induced LH surge. Because LH receptor density varies within the granulosa cell populations, antral granulosa (aGC; those aspirated by follicular puncture) and membrane associated granulosa (mGC; those scraped from the follicular wall) were compared to thecal cell expression profiles determined by mRNA microarrays. Thecal cell gene expression was less affected in the peri-ovulatory follicle when compared to granulosa cells, as evidenced by only 2% versus 25% of the ~11,000 genes expressed changing in response to the LH surge, respectively. The majority of the 203 LH-regulated thecal genes were also LH regulated in granulosa cells, leaving a total of 58 genes as LH-regulated theca cell specific genes. Most of the 58 genes (i.e., 74%) thecal specific genes including several known thecal markers (CYP17A1, NR5A1) were downregulated, while most genes identified are new to theca. Many of the newly identified upregulated thecal genes (e.g., PTX3, RND3, PPP4R4) were also upregulated in granulosa. Minimal expression differences were observed between aGC and mGC, however, transcripts encoding extracellular proteins (NID2) and matrix modulators (ADAMTS1, SASH1) predominated these differences. We also identified large numbers of unknown LH-regulated granulosa cell genes and discuss their putative roles in ovarian function. The single dominant ovarian follicle was collected from each cow before the LH surge or 22 hours after GnRH (used to induce LH surge). RNA was extracted from three independent cells within each follicle and there were hybridized on Affymetrix microarrays.

Dataset Information

Identifying the Interaction of the Brain and the Pituitary in Social- and Reproductive- State of Tilapia by Transcriptome Analyses

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets