Title |
Genetic species identification and population structure of Halophila(Hydrocharitaceae) from the Western Pacific to the Eastern Indian Ocean
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Published in |
BMC Ecology and Evolution, April 2014
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DOI | 10.1186/1471-2148-14-92 |
Pubmed ID | |
Authors |
Vy X Nguyen, Matsapume Detcharoen, Piyalap Tuntiprapas, U Soe-Htun, Japar B Sidik, Muta Z Harah, Anchana Prathep, Jutta Papenbrock |
Abstract |
The Indo-Pacific region has the largest number of seagrass species worldwide and this region is considered as the origin of the Hydrocharitaceae. Halophila ovalis and its closely-related species belonging to the Hydrocharitaceae are well-known as a complex taxonomic challenge mainly due to their high morphological plasticity. The relationship of genetic differentiation and geographic barriers of H. ovalis radiation was not much studied in this region. Are there misidentifications between H. ovalis and its closely related species? Does any taxonomic uncertainty among different populations of H. ovalis persist? Is there any genetic differentiation among populations in the Western Pacific and the Eastern Indian Ocean, which are separated by the Thai-Malay peninsula? Genetic markers can be used to characterize and identify individuals or species and will be used to answer these questions. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Germany | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Malaysia | 2 | 3% |
Unknown | 66 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 10 | 15% |
Student > Ph. D. Student | 10 | 15% |
Student > Postgraduate | 9 | 13% |
Researcher | 8 | 12% |
Student > Bachelor | 5 | 7% |
Other | 9 | 13% |
Unknown | 17 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 23 | 34% |
Environmental Science | 13 | 19% |
Biochemistry, Genetics and Molecular Biology | 6 | 9% |
Economics, Econometrics and Finance | 1 | 1% |
Psychology | 1 | 1% |
Other | 1 | 1% |
Unknown | 23 | 34% |