Title |
RNA-seq as a powerful tool for penaeid shrimp genetic progress
|
---|---|
Published in |
Frontiers in Genetics, August 2014
|
DOI | 10.3389/fgene.2014.00298 |
Pubmed ID | |
Authors |
Camilla A Santos, Danielly V Blanck, Patrícia D de Freitas |
Abstract |
The sequences of all different RNA transcripts present in a cell or tissue that are related to the gene expression and its functional control represent what it is called a transcriptome. The transcripts vary between cells, tissues, ontogenetic and environmental conditions, and the knowledge that can be gained through them is of a solid relevance for genetic applications in aquaculture. Some of the techniques used in transcriptome studies, such as microarrays, are being replaced for next-generation sequencing approaches. RNA-seq emerges as a new possibility for the transcriptome complexity analysis as well as for the candidate genes and polymorphisms identification of penaeid species. Thus, it may also help to understand the determination of complex traits mechanisms and genetic improvement of stocks. In this review, it is first introduced an overview of transcriptome analysis by RNA-seq, followed by a discussion of how this approach may be applied in genetic progress within penaeid stocks. |
X Demographics
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 20% |
India | 1 | 20% |
Unknown | 3 | 60% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 80% |
Scientists | 1 | 20% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 1% |
Spain | 1 | 1% |
Mexico | 1 | 1% |
Brazil | 1 | 1% |
Unknown | 94 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 20 | 20% |
Student > Ph. D. Student | 13 | 13% |
Researcher | 12 | 12% |
Student > Bachelor | 12 | 12% |
Student > Doctoral Student | 6 | 6% |
Other | 21 | 21% |
Unknown | 14 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 43 | 44% |
Biochemistry, Genetics and Molecular Biology | 18 | 18% |
Computer Science | 5 | 5% |
Medicine and Dentistry | 4 | 4% |
Immunology and Microbiology | 3 | 3% |
Other | 9 | 9% |
Unknown | 16 | 16% |