کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5589780 | 1569831 | 2017 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Identification of Triplophysa species from the Qinghai-Tibetan Plateau (QTP) and its adjacent regions through DNA barcodes
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کلمات کلیدی
AICCOIBCMQTPMCMCDNA barcoding - DNA بارکدBayesian - بیزیPhylogenetic tree - درخت فیلوژنتیکMarkov chain Monte Carlo - زنجیره مارکف مونت کارلوSpecies identification - شناسایی گونه هاQinghai-Tibetan plateau - فلات چینگهای-تبتیAkaike information criterion - معیار اطلاعاتی آکائیکNeighbour-joining - همسایگی
موضوعات مرتبط
علوم زیستی و بیوفناوری
بیوشیمی، ژنتیک و زیست شناسی مولکولی
ژنتیک
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
The genus Triplophysa is the largest and most difficult to identity morphologically fish group of superfamily Cobitoidea with 140 currently valid species, and is mainly distributed in the Qinghai-Tibetan Plateau (QTP) and adjacent regions. Most species within this genus possess highly similar morphological characteristics for adaption to the highland environment and are very difficult to be identified only based on morphology. The traditional species identification, mainly based on external morphological diagnostic characters, leads to inconsistent results in many cases. Herein, we provided a molecular method based on mitochondrial cytochrome c subunit I (COI) for the identification of Triplophysa fishes. Thirty-three Triplophysa species, 244 individuals, were used to determine whether barcoding was effective in discriminating species for this genus. The mean intraspecific and interspecific K2P distances ranged from 0 to 14.9% (mean, 2.9%) and 0 to 23.4% (mean, 9.7%), respectively. The tree-based analysis displayed most of species formed discrete clusters with strong bootstrap support values (>Â 90%). The results showed that most of Triplophysa species could be identified by DNA barcode and indicated DNA barcode could be used as a molecular marker for these species.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Gene - Volume 605, 20 March 2017, Pages 12-19
Journal: Gene - Volume 605, 20 March 2017, Pages 12-19
نویسندگان
Jiuxuan Li, Ying Wang, Huifang Jin, Wujiao Li, Chaochao Yan, Pengfei Yan, Xiuyue Zhang, Shunping He, Zhaobin Song,