Title |
Identification and characterization of miRNAome in root, stem, leaf and tuber developmental stages of potato (Solanum tuberosum L.) by high-throughput sequencing
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Published in |
BMC Plant Biology, January 2014
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DOI | 10.1186/1471-2229-14-6 |
Pubmed ID | |
Authors |
Nisha Lakhotia, Gopal Joshi, Ankur R Bhardwaj, Surekha Katiyar-Agarwal, Manu Agarwal, Arun Jagannath, Shailendra Goel, Amar Kumar |
Abstract |
MicroRNAs (miRNAs) are ubiquitous components of endogenous plant transcriptome. miRNAs are small, single-stranded and ~21 nt long RNAs which regulate gene expression at the post-transcriptional level and are known to play essential roles in various aspects of plant development and growth. Previously, a number of miRNAs have been identified in potato through in silico analysis and deep sequencing approach. However, identification of miRNAs through deep sequencing approach was limited to a few tissue types and developmental stages. This study reports the identification and characterization of potato miRNAs in three different vegetative tissues and four stages of tuber development by high throughput sequencing. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United States | 2 | 2% |
Indonesia | 1 | <1% |
Norway | 1 | <1% |
South Africa | 1 | <1% |
Sweden | 1 | <1% |
Slovenia | 1 | <1% |
United Kingdom | 1 | <1% |
Unknown | 114 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 29 | 24% |
Student > Ph. D. Student | 21 | 17% |
Student > Master | 11 | 9% |
Student > Bachelor | 10 | 8% |
Professor > Associate Professor | 7 | 6% |
Other | 24 | 20% |
Unknown | 20 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 68 | 56% |
Biochemistry, Genetics and Molecular Biology | 23 | 19% |
Veterinary Science and Veterinary Medicine | 1 | <1% |
Computer Science | 1 | <1% |
Immunology and Microbiology | 1 | <1% |
Other | 1 | <1% |
Unknown | 27 | 22% |