碩士 / 國立臺灣大學 / 動物學研究所 / 100 / Anchovy species are major components in Taiwanese larval fisheries. High efficient large-wing net was imported from Japan in 1976, and effective and reasonable management is highly expected onward. Catch species composition and stock status become highly concerned in the management plan. Currently 5 genera and 12 species were identified morphologically. This work attempts to use DNA analysis to fortify the reliability of species identification. In this study, I found mt COI is an effective marker specifically, and can be established as a standard barcode (s-barcode) sequence. The evaluation of sequence reliability indicated that the marker can reinforce the findings from morphological identification. The consensus tree topology between morphology and molecule examination exhibited that differences between species barcodes are unlikely random.
The ratios of inter-specific distance to that of intra-specific were 28.8 minimally. It represents COI barcode is feasible to identify anchovy species with fairly high confidence. Furthermore, the sequences also uncovered a cryptic species due to morphological convergence. To facilitate species identification and stock composition, a battery of species-specific primers for 8 major species were developed, and evaluated to be efficient in identification and also minimal in bias. Real catch samples were subjected to the designed primer sets to validate their application. The results were fairly in agreement with morphological findings with a maximal difference of 5.7%, and χ2-test based on logarithmic scale indicated that no significant difference found with molecular and morphological compositions. Therefore, s-barcodes and their application are promising in both theoretical and practical perspective.
| Identifer | oai:union.ndltd.org:TW/100NTU05312122 |
| Date | January 2012 |
| Creators | Ke-Ting Wei, 魏可婷 |
| Contributors | Tai-Sheng Chiu, 丘臺生 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | en_US |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 86 |
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