Effect of starvation on the antioxidative pathway, autophagy, and mitochondrial function in the intestine of Chinese perch Siniperca chuatsi

Pan, Ya–Xiong; Tao, Jinsheng; Zhou, Jun; Cheng, Jia; Chen, Yuan-Hua; Xiang, Jing; Bao, Lingsheng; Zhu, Xin; Zhang, Jianshe; Chu, Wuying

doi:10.1016/j.aquaculture.2021.737683

Cited by 11 publications

(8 citation statements)

References 41 publications

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“…Previous research showed that starvation causes oxidative stress and mitochondrial malfunction in fish as a result of mitochondrial breakdown energy metabolism mRNA under expression. [ 28 ]. Within gene modules identified by COEX, the most meaningful pathways were fatty acid metabolism and degradation, suggesting that elovl5, acat2, acadm, acox1, cpt2, fads2, hadh, scd acat2, acadm, acox1, aldh9a1b, cpt2 and hadh have a role in loss of body mass in zebrafish after 21 days of starvation.…”

Section: Discussionmentioning

confidence: 99%

“…To date, a few DNA microarray data on the liver of starved zebrafish have been submitted to the GEO database (30 March 2022) [ 8 , 12 ]. Intestine, gut and muscle tissues have been investigated by RT–qPCR, DNA microarray or RNA-seq in previous studies [ 7 , 26 , 27 , 28 , 29 ]. This study aimed to use an integrated bioinformatics approach to identify a common list of modules and hub-CST genes in the zebrafish transcriptome.…”

Section: Introductionmentioning

confidence: 99%

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An Integrated Bioinformatics Approach to Identify Network-Derived Hub Genes in Starving Zebrafish

Mortazavi

Ghaderi–Zefrehei

Dolatabady

et al. 2022

Animals

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The present study was aimed at identifying causative hub genes within modules formed by co-expression and protein–protein interaction (PPI) networks, followed by Bayesian network (BN) construction in the liver transcriptome of starved zebrafish. To this end, the GSE11107 and GSE112272 datasets from the GEO databases were downloaded and meta-analyzed using the MetaDE package, an add-on R package. Differentially expressed genes (DEGs) were identified based upon expression intensity N(µ = 0.2, σ2 = 0.4). Reconstruction of BNs was performed by the bnlearn R package on genes within modules using STRINGdb and CEMiTool. ndufs5 (shared among PPI, BN and COEX), rps26, rpl10, sdhc (shared between PPI and BN), ndufa6, ndufa10, ndufb8 (shared between PPI and COEX), skp1, atp5h, ndufb10, rpl5b, zgc:193613, zgc:123327, zgc:123178, wu:fc58f10, zgc:111986, wu:fc37b12, taldo1, wu:fb62f08, zgc:64133 and acp5a (shared between COEX and BN) were identified as causative hub genes affecting gene expression in the liver of starving zebrafish. Future work will shed light on using integrative analyses of miRNA and DNA microarrays simultaneously, and performing in silico and experimental validation of these hub-causative (CST) genes affecting starvation in zebrafish.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Integrated Bioinformatics Approach to Identify Network-Derived Hub Genes in Starving Zebrafish

Mortazavi

Ghaderi–Zefrehei

Dolatabady

et al. 2022

Animals

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“…Major epithelial cells in sh gills, pavement and mitochondria-rich cells, play complementary roles in ion transport [79]. Their growth and differentiation may be organized by axonal guidance contributing to functional plasticity in estuarine sh [ [90] and induced autophagy and mitophagy [91]. Autophagy is a key pathway mediating damage control and metabolic adaptation [92] triggered i.a.…”

Section: Salinity Adaptationmentioning

confidence: 99%

Network-based integration of omics, physiological and environmental data in real-world Elbe estuarine Zander

Koll,

Theilen,

Hauten

et al. 2024

Preprint

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Coastal and estuarine environments are under endogenic and exogenic pressures jeopardizing survival and diversity of inhabiting biota. Information of possible synergistic effects of multiple (a)biotic stressors and holobiont interaction are largely missing in the Elbe estuary but are of importance to estimate unforeseen effects on animals’ physiology. Here, we seek to leverage host-transcriptional RNA-seq and gill mucus microbial 16S rRNA metabarcoding data coupled with physiological and abiotic measurements in a network analysis approach to deconvolute the impact of multiple stressors on the health of juvenile Sander lucioperca along one of the largest European estuaries. We find mesohaline areas characterized by gill tissue specific transcriptional responses matching osmosensing and tissue remodeling. Liver transcriptomes instead emphasized that zander from highly turbid areas were undergoing starvation which was supported by compromised body condition. Potential pathogenic bacteria, including Shewanella, Acinetobacter, Aeromonas and Chryseobacterium, dominated the gill microbiome along the freshwater transition and oxygen minimum zone. Their occurrence coincided with a strong adaptive and innate transcriptional immune response in host gill and enhanced energy demand in liver tissue supporting their potential pathogenicity. Overall, we demonstrate the information gain from integration of omics data into biomonitoring of fish and point out bacterial species with disease potential.

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“…Starvation can induce autophagy and disrupt antioxidant systems. Autophagy related genes were activated and starvation disrupted intestinal homeostasis in the Chinese perch [ 57 ]. miR-252 increased autophagy and antioxidant enzyme activity by targeting PI 3 K to enhance the tolerance of Penaeus vannamei to ammonia nitrogen stress [ 58 ], while few miRNA studies have reported on autophagy when fish starved.…”

Section: Feedmentioning

confidence: 99%

Profiling miRNAs of Teleost Fish in Responses to Environmental Stress: A Review

Cao

Zhang

et al. 2023

Biology

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miRNAs are a class of endogenous and evolutionarily conserved noncoding short RNA molecules that post-transcriptionally regulate gene expression through sequence-specific interactions with mRNAs and are capable of controlling gene expression by binding to miRNA targets and interfering with the final protein output. The miRNAs of teleost were firstly reported in zebrafish development, but there are recent studies on the characteristics and functions of miRNAs in fish, especially when compared with mammals. Environmental factors including salinity, oxygen concentration, temperature, feed, pH, environmental chemicals and seawater metal elements may affect the transcriptional and posttranscriptional regulators of miRNAs, contributing to nearly all biological processes. The survival of aquatic fish is constantly challenged by the changes in these environmental factors. Environmental factors can influence miRNA expression, the functions of miRNAs and their target mRNAs. Progress of available information is reported on the environmental effects of the identified miRNAs, miRNA targets and the use of miRNAs in fish.

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Effect of starvation on the antioxidative pathway, autophagy, and mitochondrial function in the intestine of Chinese perch Siniperca chuatsi

Cited by 11 publications

References 41 publications

An Integrated Bioinformatics Approach to Identify Network-Derived Hub Genes in Starving Zebrafish

An Integrated Bioinformatics Approach to Identify Network-Derived Hub Genes in Starving Zebrafish

Network-based integration of omics, physiological and environmental data in real-world Elbe estuarine Zander

Profiling miRNAs of Teleost Fish in Responses to Environmental Stress: A Review

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