↓ Skip to main content

PLOS

Characterization of the Small RNA Transcriptome of the Diatom, Thalassiosira pseudonana

Overview of attention for article published in PLOS ONE, August 2011
Altmetric Badge

Mentioned by

blogs
1 blog
twitter
2 X users

Readers on

mendeley
123 Mendeley
citeulike
1 CiteULike
Title
Characterization of the Small RNA Transcriptome of the Diatom, Thalassiosira pseudonana
Published in
PLOS ONE, August 2011
DOI 10.1371/journal.pone.0022870
Pubmed ID
Authors

Trina M. Norden-Krichmar, Andrew E. Allen, Terry Gaasterland, Mark Hildebrand

Abstract

This study presents the first characterization of endogenous small RNAs in a diatom, Thalassiosira pseudonana. Small RNAs act as transcriptional and translational regulators, controlling specific target genes involved in various cellular functions. Diatoms are unicellular photosynthetic organisms that play major roles in environmental processes, such as food webs and global carbon fixation. Small RNA cDNA libraries were constructed for exponentially growing T. pseudonana, and then subjected to highly parallel pyrosequencing (454) and sequencing-by-ligation (Applied Biosystems SOLiD). From the computational analysis of approximately 300,000 sequences in the 454 library and over 17 million sequences in the SOLiD libraries, there exists evidence of a core set of small RNA genes including: novel microRNAs, repeat-associated short interfering RNAs, and endogenous short interfering RNAs. The diatom genome contains elements similar to plant small RNA systems, such as the RNAi machinery, a high percentage of short interfering RNAs originating from protein-coding and repetitive regions of the genome, and putative binding sites of the small RNAs occurring primarily in the coding section of the predicted targets. The characterization of the small RNA transcriptome of T. pseudonana establishes the possibility of a wide range of gene regulatory mechanisms in diatoms.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 7%
United Kingdom 3 2%
Netherlands 1 <1%
India 1 <1%
Egypt 1 <1%
France 1 <1%
Belgium 1 <1%
Argentina 1 <1%
Japan 1 <1%
Other 1 <1%
Unknown 103 84%

Demographic breakdown

Readers by professional status Count As %
Researcher 33 27%
Student > Ph. D. Student 26 21%
Student > Master 16 13%
Student > Bachelor 8 7%
Professor 8 7%
Other 21 17%
Unknown 11 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 73 59%
Biochemistry, Genetics and Molecular Biology 16 13%
Environmental Science 5 4%
Computer Science 3 2%
Immunology and Microbiology 3 2%
Other 8 7%
Unknown 15 12%