Title |
Back to the sea twice: identifying candidate plant genes for molecular evolution to marine life
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Published in |
BMC Ecology and Evolution, January 2011
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DOI | 10.1186/1471-2148-11-8 |
Pubmed ID | |
Authors |
Lothar Wissler, Francisco M Codoñer, Jenny Gu, Thorsten BH Reusch, Jeanine L Olsen, Gabriele Procaccini, Erich Bornberg-Bauer |
Abstract |
Seagrasses are a polyphyletic group of monocotyledonous angiosperms that have adapted to a completely submerged lifestyle in marine waters. Here, we exploit two collections of expressed sequence tags (ESTs) of two wide-spread and ecologically important seagrass species, the Mediterranean seagrass Posidonia oceanica (L.) Delile and the eelgrass Zostera marina L., which have independently evolved from aquatic ancestors. This replicated, yet independent evolutionary history facilitates the identification of traits that may have evolved in parallel and are possible instrumental candidates for adaptation to a marine habitat. |
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Geographical breakdown
Country | Count | As % |
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Spain | 2 | 25% |
United Kingdom | 1 | 13% |
Canada | 1 | 13% |
Peru | 1 | 13% |
United States | 1 | 13% |
Unknown | 2 | 25% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 7 | 88% |
Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United States | 5 | 4% |
Germany | 3 | 2% |
Australia | 3 | 2% |
Portugal | 3 | 2% |
Netherlands | 2 | 1% |
Sweden | 1 | <1% |
Brazil | 1 | <1% |
Spain | 1 | <1% |
Singapore | 1 | <1% |
Other | 0 | 0% |
Unknown | 122 | 86% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 38 | 27% |
Researcher | 27 | 19% |
Professor > Associate Professor | 16 | 11% |
Student > Master | 15 | 11% |
Student > Bachelor | 10 | 7% |
Other | 22 | 15% |
Unknown | 14 | 10% |
Readers by discipline | Count | As % |
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Agricultural and Biological Sciences | 92 | 65% |
Biochemistry, Genetics and Molecular Biology | 17 | 12% |
Environmental Science | 7 | 5% |
Business, Management and Accounting | 1 | <1% |
Computer Science | 1 | <1% |
Other | 2 | 1% |
Unknown | 22 | 15% |