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Metagenomes of the Picoalga Bathycoccus from the Chile Coastal Upwelling

Overview of attention for article published in PLOS ONE, June 2012
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Title
Metagenomes of the Picoalga Bathycoccus from the Chile Coastal Upwelling
Published in
PLOS ONE, June 2012
DOI 10.1371/journal.pone.0039648
Pubmed ID
Authors

Daniel Vaulot, Cécile Lepère, Eve Toulza, Rodrigo De la Iglesia, Julie Poulain, Frédéric Gaboyer, Hervé Moreau, Klaas Vandepoele, Osvaldo Ulloa, Frederick Gavory, Gwenael Piganeau

Abstract

Among small photosynthetic eukaryotes that play a key role in oceanic food webs, picoplanktonic Mamiellophyceae such as Bathycoccus, Micromonas, and Ostreococcus are particularly important in coastal regions. By using a combination of cell sorting by flow cytometry, whole genome amplification (WGA), and 454 pyrosequencing, we obtained metagenomic data for two natural picophytoplankton populations from the coastal upwelling waters off central Chile. About 60% of the reads of each sample could be mapped to the genome of Bathycoccus strain from the Mediterranean Sea (RCC1105), representing a total of 9 Mbp (sample T142) and 13 Mbp (sample T149) of non-redundant Bathycoccus genome sequences. WGA did not amplify all regions uniformly, resulting in unequal coverage along a given chromosome and between chromosomes. The identity at the DNA level between the metagenomes and the cultured genome was very high (96.3% identical bases for the three larger chromosomes over a 360 kbp alignment). At least two to three different genotypes seemed to be present in each natural sample based on read mapping to Bathycoccus RCC1105 genome.

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The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 5 5%
United States 2 2%
France 1 1%
Canada 1 1%
Sweden 1 1%
Unknown 82 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 31 34%
Student > Ph. D. Student 22 24%
Student > Doctoral Student 7 8%
Professor 6 7%
Student > Master 6 7%
Other 14 15%
Unknown 6 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 51 55%
Environmental Science 14 15%
Biochemistry, Genetics and Molecular Biology 7 8%
Earth and Planetary Sciences 5 5%
Immunology and Microbiology 2 2%
Other 4 4%
Unknown 9 10%