Institution
Chinese Academy of Fishery Sciences
Nonprofit•Beijing, China•
About: Chinese Academy of Fishery Sciences is a nonprofit organization based out in Beijing, China. It is known for research contribution in the topics: Population & Gene. The organization has 8107 authors who have published 7929 publications receiving 92095 citations. The organization is also known as: Zhōngguó shuǐchǎn Kēxuéyánjiūyuàn & Chinese Academy of Fishery Sciences.
Topics: Population, Gene, Shrimp, Genome, Mitochondrial DNA
Papers published on a yearly basis
Papers
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TL;DR: The viral distribution in different tissues of diseased Chinese perch was evaluated by TaqMan real-time PCR method and the highest level of viral copies was detected in spleen, indicating that the Taq man real- time PCR was more sensitive than conventional PCR.
37 citations
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TL;DR: Results indicate swimming crab c-type lysozyme may be an inducible acute-phase protein and bacterial challenge could decline its mRNA expression.
37 citations
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TL;DR: Cryopreservation technique for sperm of spotted halibut was developed, and motility and time delay in the activation of frozen–thawed sperm activated by artificial seawater at different salinity were different.
37 citations
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TL;DR: It was found that AgNPs could accumulate in sludge with the distribution coefficients of 39.2-114L/g, inhibit the protein and polysaccharide production in EPS, reduce the SOUR of sludge, and greatly increase LDH release from microbial cells.
37 citations
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TL;DR: A large number of credible genetic markers, including 21,192 SSRs and 8,642 SNPs, were identified in the present dataset, and many candidate genes with fundamental roles in sex determination and gonad differentiation, growth, and immune response were identified for the first time in this species.
Abstract: Background Turbot Scophthalmus maximus is an economically important species extensively aquacultured in China. The genetic selection program is necessary and urgent for the sustainable development of this industry, requiring more and more genome background knowledge. Transcriptome sequencing is an excellent alternative way to identify transcripts involved in specific biological processes and exploit a considerable quantity of molecular makers when no genome sequences are available. In this study, a comprehensive transcript dataset for major tissues of S. maximus was produced on basis of an Illumina platform. Results Total RNA was isolated from liver, spleen, kidney, cerebrum, gonad (testis and ovary) and muscle. Equal quantities of RNA from each type of tissues were pooled to construct two cDNA libraries (male and female). Using the Illumina paired-end sequencing technology, nearly 44.22 million clean reads in length of 100 bp were generated and then assembled into 106,643 contigs, of which 71,107 were named unigenes with an average length of 892 bp after the elimination of redundancies. Of these, 24,052 unigenes (33.83% of the total) were successfully annotated. GO, KEGG pathway mapping and COG analysis were performed to predict potential genes and their functions. Based on our sequence analysis and published documents, many candidate genes with fundamental roles in sex determination and gonad differentiation (dmrt1), growth (ghrh, myf5, prl/prlr) and immune response (TLR1/TLR21/TLR22, IL-15/IL-34), were identified for the first time in this species. In addition, a large number of credible genetic markers, including 21,192 SSRs and 8,642 SNPs, were identified in the present dataset. Conclusion This informative transcriptome provides valuable new data to increase genomic resources of Scophthalmus maximus. The future studies of corresponding gene functions will be very useful for the management of reproduction, growth and disease control in turbot aquaculture breeding programs. The molecular markers identified in this database will aid in genetic linkage analyses, mapping of quantitative trait loci, and acceleration of marker assisted selection programs.
37 citations
Authors
Showing all 8142 results
Name | H-index | Papers | Citations |
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Yu Huang | 136 | 1492 | 89209 |
Meilin Liu | 117 | 827 | 52603 |
Lin Li | 104 | 2027 | 61709 |
Jian Xu | 94 | 1366 | 52057 |
Xiaolong Wang | 81 | 966 | 31455 |
Sheng Luan | 76 | 272 | 21253 |
Peng Xu | 75 | 1151 | 25005 |
Qiang Li | 73 | 856 | 30598 |
Deliang Chen | 68 | 461 | 16966 |
Chao Li | 64 | 561 | 17253 |
Min Du | 61 | 326 | 11328 |
Lei Wang | 59 | 988 | 14887 |
Quan Chen | 52 | 154 | 16697 |
Jun Li | 50 | 562 | 12002 |
James P. Barry | 49 | 162 | 10687 |