Literature DB >> 30941725

Transcriptome analysis for identifying possible causes of post-reproductive death of Sepia esculenta based on brain tissue.

Jinyong Zhang1,2,3, Muchun He4, Zilong Xiang5, Shufang Liu6,7,8, ZhiMeng Zhuang9,10.   

Abstract

BACKGROUND: The subpeduncle lobe/olfactory lobe-optic gland axis is called the endocrine regulation center of cephalopods. However, little is known about the mechanism of the subpeduncle lobe/olfactory lobe-optic gland axis regulate the sexual maturation and post-reproductive death of Sepia esculenta Hoyle.
OBJECTIVES: The primary objective of this study was to provide basic information for revealing the mechanism of the subpeduncle lobe/olfactory lobe-optic axis regulating the rapid post-reproductive death of S. esculenta.
METHODS: In this paper, Illumina sequencing based transcriptome analysis was performed on the brain tissue of female S. esculenta in the three key developmental stages: growth stage (BG), spawning stage (BS), and post-reproductive death stage (BA).
RESULTS: A total of 66.19 Gb Illumina sequencing data were obtained. A comparative analysis of the three stages showed 2609, 3333, and 170 differentially expressed genes (DEGs) in BG-vs-BA, BG-vs-BA, and BS-vs-BA, respectively. The Gene Ontology (GO) enrichment analysis of DEGs revealed that the regulation of cyclin-dependent protein serine/threonine kinase activity, oxidative phosphorylation, and respiratory chain were significantly enriched. The significant enrichment analysis of the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway identified pathways associated with the regulation of death, such as the mammalian target of rapamycin (mTOR) signaling pathway, AMPK signaling pathway, oxidative phosphorylation, and cell cycle.
CONCLUSION: The post-reproductive death of S. esculenta was found to be a complex energy steady-state regulation network system. The mTOR acted as an energy receptor and had a key role in regulating energy homeostasis.

Entities:  

Keywords:  DEGs; Golden cuttlefish; Rapid post-reproductive death; Sepia esculenta; Subpeduncle lobe/olfactory lobe; Transcriptome

Mesh:

Year:  2019        PMID: 30941725     DOI: 10.1007/s13258-019-00811-z

Source DB:  PubMed          Journal:  Genes Genomics        ISSN: 1976-9571            Impact factor:   1.839


  39 in total

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Journal:  Biol Rev Camb Philos Soc       Date:  2001-08

2.  Cell cycle regulation via p53 phosphorylation by a 5'-AMP activated protein kinase activator, 5-aminoimidazole- 4-carboxamide-1-beta-D-ribofuranoside, in a human hepatocellular carcinoma cell line.

Authors:  K Imamura; T Ogura; A Kishimoto; M Kaminishi; H Esumi
Journal:  Biochem Biophys Res Commun       Date:  2001-09-21       Impact factor: 3.575

Review 3.  mTOR couples cellular nutrient sensing to organismal metabolic homeostasis.

Authors:  Jessica J Howell; Brendan D Manning
Journal:  Trends Endocrinol Metab       Date:  2011-01-25       Impact factor: 12.015

4.  Diversity of ageing across the tree of life.

Authors:  Owen R Jones; Alexander Scheuerlein; Roberto Salguero-Gómez; Carlo Giovanni Camarda; Ralf Schaible; Brenda B Casper; Johan P Dahlgren; Johan Ehrlén; María B García; Eric S Menges; Pedro F Quintana-Ascencio; Hal Caswell; Annette Baudisch; James W Vaupel
Journal:  Nature       Date:  2013-12-08       Impact factor: 49.962

Review 5.  The ubiquitin code.

Authors:  David Komander; Michael Rape
Journal:  Annu Rev Biochem       Date:  2012-04-10       Impact factor: 23.643

6.  Neuropeptidergic control of the optic gland of Octopus vulgaris: FMRF-amide and GnRH immunoreactivity.

Authors:  A Di Cosmo; C Di Cristo
Journal:  J Comp Neurol       Date:  1998-08-17       Impact factor: 3.215

7.  Transcriptome analysis of gene expression patterns during embryonic development in golden cuttlefish (Sepia esculenta).

Authors:  Li Bian; Changlin Liu; Siqing Chen; Fazhen Zhao; Jianlong Ge; Jie Tan
Journal:  Genes Genomics       Date:  2017-11-01       Impact factor: 1.839

8.  Transcriptome analysis of the Octopus vulgaris central nervous system.

Authors:  Xiang Zhang; Yong Mao; Zixia Huang; Meng Qu; Jun Chen; Shaoxiong Ding; Jingni Hong; Tiantian Sun
Journal:  PLoS One       Date:  2012-06-29       Impact factor: 3.240

9.  RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome.

Authors:  Bo Li; Colin N Dewey
Journal:  BMC Bioinformatics       Date:  2011-08-04       Impact factor: 3.307

Review 10.  Aging.

Authors:  Dong Choon Park; Seung Geun Yeo
Journal:  Korean J Audiol       Date:  2013-09-24
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