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Analysis of Expressed Sequence Tags from the Harmful Alga, Prymnesium parvum (Prymnesiophyceae, Haptophyta)

Overview of attention for article published in Marine Biotechnology, July 2006
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Title
Analysis of Expressed Sequence Tags from the Harmful Alga, Prymnesium parvum (Prymnesiophyceae, Haptophyta)
Published in
Marine Biotechnology, July 2006
DOI 10.1007/s10126-005-5182-2
Pubmed ID
Authors

John W. La Claire

Abstract

A cDNA library was constructed from late log-phase cultures of the ichthyotoxin-producing haptophyte, Prymnesium parvum. Approximately 6,300 single-pass 5' nucleotide sequences (out of nearly 8,000 randomly isolated clones) achieved length and quality criteria for incorporation into an expressed sequence tag (EST) database. Collectively, 3,415 unique genes (tentative unigenes [TUGs]) were assembled. Database searches revealed approximately 1,100 TUG (34%) that encode proteins of known or putative function (expect values E < or = 1.0 x 10(-10)), representing most functional classes of proteins and many metabolic pathways. In addition to proteins involved in photosynthesis and protein synthesis/degradation, one of the most frequently encountered transcripts putatively encodes an ABC-type phosphate transport system component. Active (and efficient?) phosphate transport may correlate with rapid growth, perhaps explaining how this alga out-competes other species when it blooms and becomes toxic under low-phosphate conditions. The majority of TUGs, including 12 of the 50 most commonly encountered transcripts, encode potentially novel proteins, some of which are probably involved in synthesis and secretion of the unique prymnesin toxins. This work suggests that future studies on the expression of many of these genes during rapid growth should provide insight into the genetic basis of bloom formation and toxicity.

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Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 3%
Unknown 38 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 26%
Researcher 8 21%
Other 4 10%
Student > Bachelor 3 8%
Student > Doctoral Student 2 5%
Other 8 21%
Unknown 4 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 36%
Biochemistry, Genetics and Molecular Biology 9 23%
Environmental Science 4 10%
Earth and Planetary Sciences 3 8%
Business, Management and Accounting 1 3%
Other 2 5%
Unknown 6 15%