ArticleMarine biotechnology (New York, N.Y.)2016
Gene Co-Expression Network Analysis Reveals the Correlation Patterns Among Genes in Euryhaline Adaptation of Crassostrea gigas.
Article in Marine biotechnology (New York, N.Y.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
14 citing papers in PubMed, 33 citations in OpenAlex.
- Identification of important candidate genes in minks with self-biting behaviour using weighted gene coexpression network analysis.BMC genomics · 2026Article
- Museomics of an extinct European flat oyster population.Scientific reports · 2025Article
- Comparative transcriptome analysis reveals molecular damage associated with cryopreservation in Crassostrea angulata D-larvae rather than to cryoprotectant exposure.BMC genomics · 2024Article
- Multidimensional plasticity jointly contributes to rapid acclimation to environmental challenges during biological invasions.RNA (New York, N.Y.) · 2023Article
- Transcriptomes of Testes at Different Developmental Stages in the Opsariichthys bidens Predict Key Genes for Testis Development and Spermatogenesis.Marine biotechnology (New York, N.Y.) · 2023Article
- Environment-driven shifts in interindividual variation and phenotypic integration within subnetworks of the mussel transcriptome and proteome.Molecular ecology · 2022Article
- Genetics Responses to Hypoxia and Reoxygenation Stress inAnimals : an open access journal from MDPI · 2021Article
- Genomic Landscape of Mutational Biases in the Pacific Oyster Crassostrea gigas.Genome biology and evolution · 2020Article
- Genetic regulatory networks for salt-alkali stress in Gossypium hirsutum with differing morphological characteristics.BMC genomics · 2020Article
- Adaptive Evolution Patterns in the Pacific Oyster Crassostrea gigas.Marine biotechnology (New York, N.Y.) · 2019Article
- Transcriptome and Gene Coexpression Network Analyses of Two Wild Populations Provides Insight into the High-Salinity Adaptation Mechanisms of Crassostrea ariakensis.Marine biotechnology (New York, N.Y.) · 2019Article
- Comparative Transcriptome Analysis Reveals Growth-Related Genes in Juvenile Chinese Sea Cucumber, Russian Sea Cucumber, and Their Hybrids.Marine biotechnology (New York, N.Y.) · 2018Article
- Identification and expression of cysteine sulfinate decarboxylase, possible regulation of taurine biosynthesis in Crassostrea gigas in response to low salinity.Scientific reports · 2017Article
- RNA-Seq Analysis of the Antioxidant Status and Immune Response of Portunus trituberculatus Following Aerial Exposure.Marine biotechnology (New York, N.Y.) · 2017Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The Pacific oyster Crassostrea gigas is a dominant aquaculture species in many intertidal zones throughout the Pacific and Atlantic Oceans and can tolerate a wide range of salinity. Studying the gene expression profiles of oyster gills had found differentially expressed genes (DEGs) involved in salinity tolerance. A systematic study of cellular response to salinity stress may provide insights into the mechanism of acquired salinity tolerance. Here, weighted gene co-expression network analysis (WGCNA) was carried out using RNA-seq data from gill transcriptome in response to different salinity. A total of 25,463 genes were parsed into 22 gene modules, of which 5 gene modules were identified as salinity-related modules. Brown module was the only one significantly correlated with salinity and free amino acids (FAAs) contents, which was associated with cellular metabolism, biosynthesis of amino acids, oxidation reduction, electron transport, nitrogen compound metabolism, and others. The enriched pathways in brown module were mainly about FAAs metabolism. The other four modules were significantly correlated with certain FAAs, and were over-represented in certain salinity. These results indicated that C. gigas triggered different FAAs in different salinity stress. This study represents the first RNA-seq gene network analysis in oysters responding to different salinity stresses. These results provide a systems-level framework to help understand the complexity of cellular process in response to osmotic stress and show the function and regulated genes of different FAAs at the molecular level.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.