数字农科院2.0

DNA barcoding, phylogenetics, and morphometric analysis of various freshwater fishes

文献类型： 外文期刊

作者： Sohail Anjum;Ikram Ilahi;Qaiser Zaman;Sayyed Noaman Shah;Muhammad Abbas;Muhammad Salman Khan;Nasreen Nasreen;Mostafa A. Abdel-Maksoud;Anas Ahmad;Sabiha Fatima;Bushra Hafeez Kiani;Farhad Badshah;Hamza Khan

作者机构：

关键词： （0-2-9）COI;DNA barcoding;fish diversity;Malakand;molecular identification;Simpson’s diversity index

期刊名称： Journal of Freshwater Ecology

ISSN： 0270-5060

年卷期： 2025 年 40 卷 1 期

页码：

收录情况： SCIE（2025版）

摘要： Fish are diverse aquatic organisms, economically significant as a primary source of food and nutrients. Accurate species identification is crucial for conservation, taxonomy and management. This study combined morphological and COI gene-based approaches to identify and characterize fish diversity from three locations in Malakand Division, Khyber Pakhtunkhwa Pakistan. All species were identified morphologically. DNA was extracted using phenol-chloroform method followed by PCR and sequencing. The consensus sequences were then utilized as search queries in BLASTn. BioEdit was used for trimming and MEGA X for phylogenetic study. Fourteen specimens representing eight species (Tariqilabeo latius, Mastacembelus armatus, Tor putitora, Carassius auratus, Cyprinus carpio, Garra gotyla, Channa punctata and Channa gachua) from three orders were analyzed. Results showed AT (54.23%) and GC (45.77%) contents, and a high Simpson’s diversity index (0.925), indicating rich species presence and evenness. Density, relative density, frequency, relative frequency and morphometric measurements were also calculated. This study validates the effectiveness of integrating morphological and molecular identification using COI gene for fish species in the region, highlighting its potential for broader application. Biodiversity metrics provide insights into its distribution in the area. Our findings contribute to the understanding of fish diversity in Pakistan and inform conservation and management efforts.

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