Title |
Diverse molecular signatures for ribosomally ‘active’ Perkinsea in marine sediments
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Published in |
BMC Microbiology, April 2014
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DOI | 10.1186/1471-2180-14-110 |
Pubmed ID | |
Authors |
Aurélie Chambouvet, Cédric Berney, Sarah Romac, Stéphane Audic, Finlay Maguire, Colomban De Vargas, Thomas A Richards |
Abstract |
Perkinsea are a parasitic lineage within the eukaryotic superphylum Alveolata. Recent studies making use of environmental small sub-unit ribosomal RNA gene (SSU rDNA) sequencing methodologies have detected a significant diversity and abundance of Perkinsea-like phylotypes in freshwater environments. In contrast only a few Perkinsea environmental sequences have been retrieved from marine samples and only two groups of Perkinsea have been cultured and morphologically described and these are parasites of marine molluscs or marine protists. These two marine groups form separate and distantly related phylogenetic clusters, composed of closely related lineages on SSU rDNA trees. Here, we test the hypothesis that Perkinsea are a hitherto under-sampled group in marine environments. Using 454 diversity 'tag' sequencing we investigate the diversity and distribution of these protists in marine sediments and water column samples taken from the Deep Chlorophyll Maximum (DCM) and sub-surface using both DNA and RNA as the source template and sampling four European offshore locations. |
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Geographical breakdown
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United Kingdom | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
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Scientists | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United States | 2 | 3% |
United Kingdom | 1 | 1% |
Germany | 1 | 1% |
Norway | 1 | 1% |
Unknown | 65 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 21 | 30% |
Student > Ph. D. Student | 14 | 20% |
Student > Master | 10 | 14% |
Other | 6 | 9% |
Professor | 5 | 7% |
Other | 8 | 11% |
Unknown | 6 | 9% |
Readers by discipline | Count | As % |
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Agricultural and Biological Sciences | 26 | 37% |
Environmental Science | 19 | 27% |
Biochemistry, Genetics and Molecular Biology | 8 | 11% |
Computer Science | 2 | 3% |
Earth and Planetary Sciences | 2 | 3% |
Other | 4 | 6% |
Unknown | 9 | 13% |