A DNA barcoding approach to identify species of Nemacheilidae: a complex family of cypriniform fishes in Iran

Iranian Journal of Animal Biosystematics

مقاله 3، دوره 15، شماره 1، بهمن 2019   

نوع مقاله: Research articles

شناسه دیجیتال (DOI): 10.22067/ijab.v15i1.58321

نویسندگان

Hamed Paknejad^{* 1}؛ Ali Jalali²؛ Davoud Fadakar³؛ Ghasem Askari³؛ Hamed Azadi³

¹Gorgan University

²Deakin University

³Gorgan University of Agricultural Sciences and Natural Resources

چکیده

Nemacheilian loaches are a group of freshwater fishes which are distributed in many inland waters of Iran. They are complex species from aspects of systematic and many species of this family are morphologically undistinguishable. Therefore, due to limitations behind the morphology-based identification of such species, genetic approaches such as DNA barcoding can be helpful to distinguish species, although their genetic relationships are not well determined yet. The present investigation provides data on genetic structure of some species of Nemachilidae including Paraschistura bampurensis, Oxynoemacheilus kiabii and Turcinemacheilus saadii from inland waters of Iran. These species were sequenced for a 652 base pair region of the mitochondrial cytochrome oxidase subunit I gene. All species were identified by cytochrome oxidase subunit I gene sequence. The sequences of P. bampurensis showed that specimens collected from two streams (Shapour and Fahlian, south-west of Iran), with 1.89% within-species Kimura two parameter distance, shared haplotype in neighbor joining tree. The results provided the first genetic evidence for O. kiabii, which has recently been recorded as a new species in Iran, and also cytochrome oxidase subunit I gene data showed that O. kiabii is completely different from other species of Nemacheilidae. The results suggested that cytochrome oxidase subunit I gene sequencing can be used to identify species of Nemachilidae from the Iranian streams.

کلیدواژه‌ها

Cytochrome oxidase؛ DNA barcoding؛ Nemachilidae؛ phylogenetic tree؛ Species identification