Ontology highlight
ABSTRACT:
PROVIDER: PRJNA735925 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:We sequenced mRNA from 2 muscle samples of the large yellow croaker (Larimichthys crocea) taken from normal feeding fish and fasting stress treatment fish, respectively, to investigate the transcriptome and comparative expression profiles of the large yellow croaker muscle undergoing fasting.
2015-09-22 | GSE73291 | GEO
Project description:We sequenced mRNA from 4 liver samples of the large yellow croaker (Larimichthys crocea) taken from thermal stress treatment fish, normal temperature treatment fish, cold stress treatment fish and fasting stress treatment fish, respectively, to investigate the transcriptome and comparative expression profiles of the large yellow croaker liver undergoing thermal stress, cold stress and fasting.
2015-08-06 | GSE67756 | GEO
Project description:We sequenced mRNA from 2 muscle samples of the large yellow croaker (Larimichthys crocea) taken from normal feeding fish and fasting stress treatment fish, respectively, to investigate the transcriptome and comparative expression profiles of the large yellow croaker muscle undergoing fasting. Muscle mRNA profiles of control group (M7C) and 21-day fasting group (M7E) were generated by RNA-seq using Illumina HiSeq 2500.
2015-09-22 | E-GEOD-73291 | biostudies-arrayexpress
Project description:We sequenced mRNA from 4 liver samples of the large yellow croaker (Larimichthys crocea) taken from thermal stress treatment fish, normal temperature treatment fish, cold stress treatment fish and fasting stress treatment fish, respectively, to investigate the transcriptome and comparative expression profiles of the large yellow croaker liver undergoing thermal stress, cold stress and fasting. Liver mRNA profiles of control group (LB2A), thermal stress group (LC2A), cold stress group (LA2A) and 21-day fasting group (LF1A) were generated by RNA-seq, using Illumina HiSeq 2000.
2015-08-06 | E-GEOD-67756 | biostudies-arrayexpress
Project description:Brain transcriptome of Larimichthys crocea (Large yellow croaker) under hypoxia
| PRJNA246784 | ENA
Project description:Cryptocaryonosis caused by Cryptocaryon irritans is one of the major diseases of large yellow croaker (Larimichthys crocea), which lead to massive economic losses annually. The pathogenesis for cryptocaryonosis has been researched by a series of transcriptome studies under different infection conditions. However, little is known about the roles of tissue-specifically expressed genes during the infection of C. irritans. In this study, we analyzed the tissue-specific expression of transcripts in the major infection organs including gill and skin of L. crocea after C. irritans infection. we constructed transcriptome expression profiles of L. crocea gill and skin, including 23,172 protein-coding genes and 7,503 long noncoding RNAs (lncRNAs). By comparing transcriptome data from different tissues of L. crocea, we observed tissue specificity of transcripts in gill and skin, including 3,003 protein coding genes and 639 lncRNAs. A total of 212 of the protein coding genes were involved in immune system. Further analysis revealed that the tissue-specific DEGs in gill and skin were mainly involved in HIF-1 signaling pathway and Complement and coagulation cascades, respectively. In addition, 9 non-tissue-specific hub genes, including CCL4, DDIT4, LEP, ect., which are highly associated with C. irritans infection were identified. To our knowledge, this is the first comparative transcriptome analysis of gill and skin after C. irritans infection. Our results are helpful to understand the molecular mechanism of pathogenesis for cryptocaryonosis, espec-tissue specificity of protein-coding genes and lncRNAs involved in immune regulation.
2021-11-28 | GSE174221 | GEO
Project description:<p>Gut microbiota can modulate nutrient metabolism, considerably affecting host growth and development. However, mechanisms by which gut microbiota regulate large yellow croaker (LYC; Larimichthys crocea) growth remain unclear. We assessed gut contents of fast-growing male (IWHM) and female (IWHF) LYCs and slow-growing male (IWLM) and female (IWLF) LYCs and subjected the data to metagenomic and metabolomic analyses. Gut microbiota composition significantly differed among LYCs with different growth rates: Vibrio abundance was considerably lower in IWHM LYCs (2.53%) than in IWLM LYCs (41.47%); Arthrobacter D abundance was the highest in IWHF LYCs (8.19%) but the lowest in IWLF LYCs (1.52%). Moreover, 124 and 483 differential metabolites were noted in IWHM-IWLM and IWHF-IWLF LYC pairs, respectively. Finally, we established a model for gut microbiota-metabolite relationship in LYCs to understand molecular mechanisms by which gut microbiota regulates nutrient metabolism. Our results highlight differences in gut microbiota between LYCs with high and low growth rates and provide comprehensive insights into molecular mechanisms underlying LYC growth regulation by gut microbiota.</p>
2024-08-02 | MTBLS10000 | MetaboLights