Growth and Distribution of Amphioctopus fangsiao (d’Orbigny, 1839–1841) in Haizhou Bay, Yellow Sea

Pang, Yumeng; Tian, Yongjun; Fu, Caihong; Ren, Yiping; Wu, Rong

doi:10.1007/s11802-020-4322-7

Cited by 11 publications

(2 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Amphioctopus fangsiao is the most common cephalopods in Chinese coastal areas, and it is popular among consumers due to delicious in meat and rich in arginine ; Pang et al 2020). In recent years, the arti cial culture of A. fangsiao has attracted extensive attention.…”

Section: Introductionmentioning

confidence: 99%

Sequencing-based protein–protein interaction analysis provides an immune gene network for understanding white body immune response mechanisms against Poly I:C stimulation in Amphioctopus fangsiao

Chen

Lü

Sun

et al. 2023

Preprint

View full text Add to dashboard Cite

Pathogen threats pose a significant limitation in the culture of marine organisms like cephalopods. Yet, there is a notable lack of immune information regarding cephalopods. Polyriboinosinic polyribocytidylic acid (Poly I:C), a synthetic virus-like molecule, can be recognized by the immune cells as pathogen-associated molecular patterns (PAMPs), and this process is often used to simulate the invasion of viruses. The white body is an immune and hematopoietic organ, and its RNA-seq information obtained from Amphioctopus fangsiao stimulated by Poly I:C is essential for understanding the antiviral immune response in this species. In this research, we performed transcriptome sequencing and bioinformatics analysis of A. fangsiao white body tissue within 24h stimulated by Poly I:C. A large number of differentially expressed genes (DEGs) were detected in this study, including 2,613 and 8 DEGs at 6h and 24h, respectively. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were used for searching immune-related terms and genes. Afterwards, a protein–protein interaction (PPI) network was constructed to identify the relationship between immune genes. Finally, the 20 hub genes including RAC1, MAPK14, PIK3CA and other seventeen hub genes were identified based on the network and pathway analysis, and we validated the accuracy of 20 hub genes using qRT-PCR. These hub genes mainly participated in PI3K-Akt signaling pathway, Chemokine signaling pathway and other signaling pathways. These research results provided a valuable theoretical basis for researching A. fangsiao white body immunity and significantly improved our cognition about innate immunity of cephalopods.

show abstract

Section: Introductionmentioning

confidence: 99%

Sequencing-based protein–protein interaction analysis provides an immune gene network for understanding white body immune response mechanisms against Poly I:C stimulation in Amphioctopus fangsiao

Chen

Lü

Sun

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Amphioctopus fangsiao , an economically important species in China’s coastal areas, has attracted attention due to the quality of its meat and its high medicinal value [ 1 , 2 ]. However, bacterial and viral outbreaks during its cultivation often result in substantial economic losses [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

Weighted Gene Co-Expression Network Analysis Based on Stimulation by Lipopolysaccharides and Polyinosinic:polycytidylic Acid Provides a Core Set of Genes for Understanding Hemolymph Immune Response Mechanisms of Amphioctopus fangsiao

Wang,

Chen,

et al. 2023

Animals

View full text Add to dashboard Cite

The primary influencer of aquaculture quality in Amphioctopus fangsiao is pathogen infection. Both lipopolysaccharides (LPS) and polyinosinic:polycytidylic acid (Poly I:C) are recognized by the pattern recognition receptor (PRR) within immune cells, a system that frequently serves to emulate pathogen invasion. Hemolymph, which functions as a transport mechanism for immune cells, offers vital transcriptome information when A. fangsiao is exposed to pathogens, thereby contributing to our comprehension of the species’ immune biological mechanisms. In this study, we conducted analyses of transcript profiles under the influence of LPS and Poly I:C within a 24 h period. Concurrently, we developed a Weighted Gene Co-expression Network Analysis (WGCNA) to identify key modules and genes. Further, we carried out Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses to investigate the primary modular functions. Co-expression network analyses unveiled a series of immune response processes following pathogen stress, identifying several key modules and hub genes, including PKMYT1 and NAMPT. The invaluable genetic resources provided by our results aid our understanding of the immune response in A. fangsiao hemolymph and will further our exploration of the molecular mechanisms of pathogen infection in mollusks.

show abstract

Inter-Annual Variabilities of the Body Weights of Two Cephalopod Species in the Yellow Sea Under Different Environmental Conditions

Guo

Zhang

et al. 2022

J. Ocean Univ. China

View full text Add to dashboard Cite

Growth and Distribution of Amphioctopus fangsiao (d’Orbigny, 1839–1841) in Haizhou Bay, Yellow Sea

Cited by 11 publications

References 18 publications

Sequencing-based protein–protein interaction analysis provides an immune gene network for understanding white body immune response mechanisms against Poly I:C stimulation in Amphioctopus fangsiao

Sequencing-based protein–protein interaction analysis provides an immune gene network for understanding white body immune response mechanisms against Poly I:C stimulation in Amphioctopus fangsiao

Weighted Gene Co-Expression Network Analysis Based on Stimulation by Lipopolysaccharides and Polyinosinic:polycytidylic Acid Provides a Core Set of Genes for Understanding Hemolymph Immune Response Mechanisms of Amphioctopus fangsiao

Inter-Annual Variabilities of the Body Weights of Two Cephalopod Species in the Yellow Sea Under Different Environmental Conditions

Contact Info

Product

Resources

About