Molecular cloning of Plk1 and Nek2 and their expression in mature gonads of the teleost fish Nile Tilapia (Oreochromis niloticus)

Matsuoka, Yoh; Kobayashi, Tohru; Kihara, Kazunori; Nagahama, Yoshitaka

doi:10.1002/mrd.20843

Cited by 7 publications

(4 citation statements)

References 47 publications

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“…Two members of this family, nek2 and nek4 , where up-regulated after P4 exposure in our dataset. In Nile tilapia ( Oreochromis niloticus ), Matsuoka and colleagues [29] demonstrated using in situ hybridization that nek2 is expressed most abundantly in meiotic cells within oocytes. Interestingly, nek proteins are also known to be involved in the G2/M phase transition of the cell cycle in co-operation with cyclin-dependent kinase 2 ( cdc2 ).…”

Section: Discussionmentioning

confidence: 99%

Transcriptional signature of progesterone in the fathead minnow ovary (Pimephales promelas)

García-Reyero

Martyniuk

Kroll

et al. 2013

General and Comparative Endocrinology

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A growing number of studies have examined transcriptional responses to sex steroids along the hypothalamic-pituitary-gonadal axis in teleost fishes. However, data are lacking on the molecular cascades that underlie progesterone signaling. The objective of this study was to characterize the transcriptional response in the ovary of fathead minnows (Pimephales promelas) in response to progesterone (P4) using transcriptomics. Fathead minnow ovaries were exposed in vitro to 500 ng P4/L. Germinal vesicle migration and breakdown (GVBD) was observed and microarrays were used to identify gene cascades affected by P4. Microarray analysis identified 1,702 differentially expressed transcripts after P4 treatment. Functional enrichment analysis revealed that transcripts involved in the molecular functions of protein serine/threonine kinase activity, ATP binding, and activity of calcium channels were increased after P4 treatment. There was an overwhelming decrease in levels of transcripts of genes that are structural constituents of ribosomes with P4 treatment. There was also evidence for gene expression changes in steroid and maturation-related transcripts. Pathway analyses identified cell cycle regulation, insulin action, hedgehog, and B cell activation as pathways containing an over-representation of highly regulated transcripts. Significant regulatory sub-networks of P4-mediated transcripts included genes regulated by tumor protein p53 and E2F transcription factor 1, suggesting that downstream expression targets of these two proteins may be preferentially involved in P4-mediated GVBD. These data provide novel insight into the molecular signaling cascades that underlie P4-signaling in the ovary and identify genes and processes that may indicate premature GVBD due to environmental pollutants that mimic progestins.

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Section: Discussionmentioning

confidence: 99%

Transcriptional signature of progesterone in the fathead minnow ovary (Pimephales promelas)

García-Reyero

Martyniuk

Kroll

et al. 2013

General and Comparative Endocrinology

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“…Innormal hepatocytes, Gadd45β facilitates cell survival, growth, and proliferation [48]. Polo-like kinase 1 (Plk1) is a serine/threonine kinase that is involved in the G2/M phase transition in the cell cycle in vertebrates [49]. TTK functions as a key regulator of spindle pole assembly, meiosis, DNA damage response, and cytokinesis [50].…”

Section: Plos Onementioning

confidence: 99%

Transcriptome analysis of the growth performance of hybrid mandarin fish after food conversion

2020

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During recent years, China has become a hotspot for the domestication of mandarin fish, and this is of great commercial value. Although the food preference of domesticated mandarin fish has been studied, little is known about genes regulating their growth. We raised hybrid mandarin fish on artificial feed for 3 months, the results showed that the survival rate of hybrid mandarin fish was 60.00%. Their total length and body weight were 18.34 ±0.43 cm and 100.44 ±4.87 g. The absolute length and weight gain rates were 0.14 cm/d and 1.08 g/d, respectively. Finally, RNA sequencing (RNA-Seq) was performed to identify potential genes and pathways activated in response to growth performance. The transcriptome analysis generated 68, 197 transcripts and 45,871 unigenes. Among them, 1025 genes were up-regulated and 593 genes were down-regulated between the fast-and slow-growth fish. Finally, we obtained 32 differentially expressed genes, which were mainly related to fatty acid biosynthesis (e.g. FASN and ACACB), collecting duct acid secretion (e.g. ATP6E and KCC4), cell cycle (e.g. CDC20 and CCNB), and the insulin-like growth factor (IGF) system (IGFBP1). These pathways might be related to the growth of hybrid mandarin fish. In addition, more potential single nucleotide polymorphisms (SNPs) were detected in the fastgrowth fish than in the slow-growth fish. The results suggest that the interaction of metabolism and abundant alleles might determine the growth of hybrid mandarin fish after food conversion.

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“…One study showed that the downregulation of HMMR is related to a decrease in sperm count, motility, and number of sperm with normal morphology (20). Meanwhile, NIMA-related kinase 2 (Nek2) is a serine/threonine kinase associated with G2/ M phase transition of the cell cycle (21). In the testes of Oreochromis niloticus, Nek2 was generally found to be expressed in primary and secondary spermatocytes (21).…”

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confidence: 99%

“…Meanwhile, NIMA-related kinase 2 (Nek2) is a serine/threonine kinase associated with G2/ M phase transition of the cell cycle (21). In the testes of Oreochromis niloticus, Nek2 was generally found to be expressed in primary and secondary spermatocytes (21).…”

mentioning

confidence: 99%

Integrative bioinformatics approaches for identifying potential biomarkers and pathways involved in non-obstructive azoospermia

Hu¹,

Luo²,

Xi³

et al. 2021

Transl Androl Urol

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Background: Non-obstructive azoospermia (NOA) is a disease related to spermatogenic disorders.Currently, the specific etiological mechanism of NOA is unclear. This study aimed to use integrated bioinformatics to screen biomarkers and pathways involved in NOA and reveal their potential molecular mechanisms.Methods: GSE145467 and GSE108886 gene expression profiles were obtained from the Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) between NOA tissues and matched obstructive azoospermia (OA) tissues were identified using the GEO2R tool. Common DEGs in the two datasets were screened out by the VennDiagram package. For the functional annotation of common DEGs, DAVID v.6.8 was used to perform Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. In accordance with data collected from the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) database, a protein-protein interaction (PPI) network was constructed by Cytoscape. Cytohubba in Cytoscape was used to screen the hub genes. Furthermore, the hub genes were validated based on a separate dataset, GSE9210. Finally, potential micro RNAs (miRNAs) of hub genes were predicted by miRWalk 3.0.Results: A total of 816 common DEGs, including 52 common upregulated and 764 common downregulated genes in two datasets, were screened out. Some of the more important of these pathways, including focal adhesion, PI3K-Akt signaling pathway, cell cycle, oocyte meiosis, AMP-activated protein kinase (AMPK) signaling pathway, FoxO signaling pathway, and Huntington disease, were involved in spermatogenesis. We further identified the top 20 hub genes from the PPI network, including CCNB2,

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Molecular cloning of Plk1 and Nek2 and their expression in mature gonads of the teleost fish Nile Tilapia (Oreochromis niloticus)

Cited by 7 publications

References 47 publications

Transcriptional signature of progesterone in the fathead minnow ovary (Pimephales promelas)

Transcriptional signature of progesterone in the fathead minnow ovary (Pimephales promelas)

Transcriptome analysis of the growth performance of hybrid mandarin fish after food conversion

Integrative bioinformatics approaches for identifying potential biomarkers and pathways involved in non-obstructive azoospermia

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