文献类型： 外文期刊
作者： Anjum, Sohail 1 ; Ilahi, Ikram 1 ; Zaman, Qaiser 2 ; Shah, Sayyed Noaman 3 ; Abbas, Muhammad 1 ; Khan, Muhammad Salman 3 ; Nasreen, Nasreen 3 ; Abdel-Maksoud, Mostafa A. 4 ; Ahmad, Anas 2 ; Fatima, Sabiha 5 ; Kiani, Bushra Hafeez 6 ; Badshah, Farhad 3 ; Khan, Hamza 8 ;
作者机构： 1.Univ Malakand, Dept Zool, Chakdara, Pakistan
2.Govt Postgrad Coll Dargai, Dept Zool, Malakand, Pakistan
3.Abdul Wali Khan Univ Mardan, Dept Zool, Mardan, Pakistan
4.King Saud Univ, Coll Sci, Bot & Microbiol Dept, Riyadh, Saudi Arabia
5.King Saud Univ, Dept Clin Lab Sci, Coll Appl Med Sci, Riyadh, Saudi Arabia
6.Worcester Polytech Inst, Dept Biol & Biotechnol, Worcester, MA USA
7.Chinese Acad Sci, Inst Anim Sci, State Key Lab Biotech Breeding, Beijing, Peoples R China
8.Univ Peshawar, Islamia Coll, Dept Zool, Peshawar, Pakistan
9.Chinese Acad Agr Sci, Agr Genom Inst, Key Lab Livestock & Poultry Multiom MARA, Guangdong Lab Lingnan Modern Agr, Shenzhen, Peoples R China
关键词： Malakand; fish diversity; DNA barcoding; COI; molecular identification; Simpson's diversity index
期刊名称：JOURNAL OF FRESHWATER ECOLOGY （ 影响因子：1.4； 五年影响因子：1.5 ）
ISSN： 0270-5060
年卷期： 2025 年 40 卷 1 期
页码：
收录情况： SCI
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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