The study of chloroplast DNA barcodes for identification of illegal logging Rutaceae species in Taiwan
| Autor: | Kuo-Chin Ling, 凌國欽 |
|---|---|
| Rok vydání: | 2018 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 106 The species of Murraya exotica (Rutaceae) with high economic value is becoming a poached target in Taiwan. It could be difficult to differentiate the related species by morphology if the essential characteristics are insufficient. In this study four DNA barcodes of chloroplast genome (matK, psbA-trnH, trnD-trnY and rp132-trnL) were used to evaluate their discrimination ability for intra- and inter-genera in the family Rutaceae. Totally 39 samples classified as 10 species in 8 genera of Rutaceae (21 samples of Murraya sp.) were collected. The sequences obtained in this study for these four loci were compared with those registered in GenBank for searching the most similar species and combined with some Rutaceae sequences extracted from GenBank for analysis of the nucleotide diversity and construction of phylogenetic tree. For these four DNA barcodes, psbA-trnH showed the highest nucleotide diversity (0.1535) for the family Rutaceae and the other three DNA barcodes were lower than 0.0486 for nucleotide diversity analysis. Cluster analysis by neighbor-joining and maximum likelihood methods were performed to demonstrate the intra- and inter-genera distribution of these sequences. It showed that almost all of the sequences were grouped in their correct genus. The species of Murraya clustered in the mono phylogenetic group for these four DNA barcodes, and the Murraya panuculata was grouped with its variant Murraya panuculata var. omphalocarpa but separated with Murraya exotica. The psbA-trnH barcode showed the best discrimination ability for species differentiation among these four loci, followed by trnD-trnY and rpl32-trnL, and the matK was the last. The results in this study are valuable in phylogenetic study for the family Rutaceae and genus Murraya and could be applied to plant species identification for the criminal investigation. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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