DNA barcoding commercially important fish species of T urkey
DNA barcoding was used in the identification of 89 commercially important freshwater and marine fish species found in Turkish ichthyofauna. A total of 1765 DNA barcodes using a 654‐bp‐long fragment of the mitochondrial cytochrome c oxidase subunit I gene were generated for 89 commercially important...
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Veröffentlicht in: | Molecular ecology resources 2013-09, Vol.13 (5), p.788-797 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | DNA
barcoding was used in the identification of 89 commercially important freshwater and marine fish species found in Turkish ichthyofauna. A total of 1765
DNA
barcodes using a 654‐bp‐long fragment of the mitochondrial cytochrome c oxidase subunit I gene were generated for 89 commercially important freshwater and marine fish species found in Turkish ichthyofauna. These species belong to 70 genera, 40 families and 19 orders from class Actinopterygii, and all were associated with a distinct
DNA
barcode. Nine and 12 of the
COI
barcode clusters represent the first species records submitted to the
BOLD
and GenBank databases, respectively. All
COI
barcodes (except sequences of first species records) were matched with reference sequences of expected species, according to morphological identification. Average nucleotide frequencies of the data set were calculated as
T
= 29.7%,
C
= 28.2%,
A
= 23.6% and
G
= 18.6%. Average pairwise genetic distance among individuals were estimated as 0.32%, 9.62%, 17,90% and 22.40% for conspecific, congeneric, confamilial and within order, respectively. Kimura 2‐parameter genetic distance values were found to increase with taxonomic level. For most of the species analysed in our data set, there is a barcoding gap, and an overlap in the barcoding gap exists for only two genera. Neighbour‐joining trees were drawn based on
DNA
barcodes and all the specimens clustered in agreement with their taxonomic classification at species level. Results of this study supported
DNA
barcoding as an efficient molecular tool for a better monitoring, conservation and management of fisheries. |
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ISSN: | 1755-098X 1755-0998 |
DOI: | 10.1111/1755-0998.12120 |