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: This study exemplifies how to build up an integrative genomic framework in a non-model organism and demonstrates that this linkage map can serve as an important platform for improving genome assembly and unifying multiple genomic resources.
Abstract: Genetic linkage maps are indispensable tools in genetic and genomic studies. Recent development of genotyping-by-sequencing (GBS) methods holds great promise for constructing high-resolution linkage maps in organisms lacking extensive genomic resources. In the present study, linkage mapping was conducted for a bivalve mollusc (Chlamys farreri) using a newly developed GBS method—2b-restriction site-associated DNA (2b-RAD). Genome survey sequencing was performed to generate a preliminary reference genome that was utilized to facilitate linkage and quantitative trait locus (QTL) mapping in C. farreri. A high-resolution linkage map was constructed with a marker density (3806) that has, to our knowledge, never been achieved in any other molluscs. The linkage map covered nearly the whole genome (99.5%) with a resolution of 0.41 cM. QTL mapping and association analysis congruously revealed two growth-related QTLs and one potential sex-determination region. An important candidate QTL gene named PROP1, which functions in the regulation of growth hormone production in vertebrates, was identified from the growth-related QTL region detected on the linkage group LG3. We demonstrate that this linkage map can serve as an important platform for improving genome assembly and unifying multiple genomic resources. Our study, therefore, exemplifies how to build up an integrative genomic framework in a non-model organism.
131 citations
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TL;DR: The data revealed that JCM1136 and JCM5805, as a feed additive at 108 CFU/g feed, could improve intestinal morphology, enhance immune status and disease resistance, and affect the gut microbiota of tilapia; thus, these additives could be used as probiotics for juvenile Nile Tilapia.
130 citations
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TL;DR: The cloning and expression analysis of the two HSP70s provide theoretical basis to further study the mechanism of anti-adverseness and expression characteristics under stress conditions of Wuchang bream.
129 citations
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TL;DR: The simplicity and high-throughput of RNA-seq data makes this approach suitable for genome scaffolding, and L_RNA_scaffolder out-performed most scaffolding results by existing scaffolders which employ mate-pair libraries.
Abstract: Background
Generation of large mate-pair libraries is necessary for de novo genome assembly but the procedure is complex and time-consuming. Furthermore, in some complex genomes, it is hard to increase the N50 length even with large mate-pair libraries, which leads to low transcript coverage. Thus, it is necessary to develop other simple scaffolding approaches, to at least solve the elongation of transcribed fragments.
128 citations
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TL;DR: The results suggest that the ingestion of microplastics by fish is closely related with the microplastic pollution in the marine environment.
127 citations
Authors
Showing all 8142 results
Name | H-index | Papers | Citations |
---|---|---|---|
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 |