Unknown

Dataset Information

0

DNA barcoding for identification of fish species in the Taiwan Strait.


ABSTRACT: DNA barcoding based on a fragment of the cytochrome c oxidase subunit I (COI) gene in the mitochondrial genome is widely applied in species identification and biodiversity studies. The aim of this study was to establish a comprehensive barcoding reference database of fishes in the Taiwan Strait and evaluate the applicability of using the COI gene for the identification of fish at the species level. A total of 284 mitochondrial COI barcode sequences were obtained from 85 genera, 38 families and 12 orders of fishes. The mean length of the sequences was 655 base pairs. The average Kimura two parameter (K2P) distances within species, genera, families, orders and classes were 0.21%, 6.50%, 23.70% and 25.60%, respectively. The mean interspecific distance was 31-fold higher than the mean intraspecific distance. The K2P neighbor-joining trees based on the sequence generally clustered species in accordance with their taxonomic classifications. High efficiency of species identification was demonstrated in the present study by DNA barcoding, and we conclude that COI sequencing can be used to identify fish species.

SUBMITTER: Bingpeng X 

PROVIDER: S-EPMC5983523 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

altmetric image

Publications

DNA barcoding for identification of fish species in the Taiwan Strait.

Bingpeng Xing X   Heshan Lin L   Zhilan Zhang Z   Chunguang Wang W   Yanguo Wang W   Jianjun Wang W  

PloS one 20180601 6


DNA barcoding based on a fragment of the cytochrome c oxidase subunit I (COI) gene in the mitochondrial genome is widely applied in species identification and biodiversity studies. The aim of this study was to establish a comprehensive barcoding reference database of fishes in the Taiwan Strait and evaluate the applicability of using the COI gene for the identification of fish at the species level. A total of 284 mitochondrial COI barcode sequences were obtained from 85 genera, 38 families and 1  ...[more]

Similar Datasets

| S-EPMC6511895 | biostudies-literature
| S-EPMC1609232 | biostudies-literature
| S-EPMC6022726 | biostudies-literature
| S-EPMC4061418 | biostudies-literature
| S-EPMC5709489 | biostudies-literature
| S-EPMC3832526 | biostudies-literature
| S-EPMC6773733 | biostudies-literature
| S-EPMC6909314 | biostudies-literature
| S-EPMC3108176 | biostudies-literature
| S-EPMC4282734 | biostudies-literature