DNA barcoding and phylogenetic analysis to characterize biodiversity of some freshwater fish species in Lake Nasser and River Nile

The present study aims to provide an inventory of eight freshwater fish species that represent 6 families obtained from Lake Nasser and the River Nile using DNA barcoding, using analysis of cytochrome oxidase subunit I (COI) gene sequences. Fish samples were identified morphologically as Ctenopharyngodon idella, Oreochromis niloticus, Bagrus bajad, Sarotherodon galilaeus, Auchenoglanis occidentalis, Lates niloticus, Sardinella tawilis, and Coptodon zillii. COI gene was successfully amplified for using PCR, showing a readable fragment length of ~ 700 base pairs (bp). The obtained sequences were compared to GenBank and the Barcode of Life Data System (BOLD). The GenBank and BOLD resulted in a total of 6 fish samples finding their best hits with similarity scores ranging from 99.29 to 100%. The average AT content (53.12%) was higher than the average GC content (46.88%) in the studied fish species. The minimum genetic Kimura 2-parameter (K2P) distance between species was 0.089 and the maximum distance was 0.313. According to phylogenetic tree analysis, the majority of fish species were grouped into monophyletic units. The current study confirms that DNA barcoding is a useful method to identify the vast majority of fish species in Lake Nasser and the River Nile. However, the morphological identification remains crucial.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-10-09
DOI
https://doi.org/10.1038/s41598-025-20830-z
Primary Topic
Identification and Quantification in Food
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

DNA barcoding and phylogenetic analysis to characterize biodiversity of some freshwater fish species in Lake Nasser and River Nile

Nermeen Y. Abass, Ragaa A. Ahmed, Esraa Mostafa Ashour
Scientific Reports
Identification and Quantification in Food
article

DNA barcoding and phylogenetic analysis to characterize biodiversity of some freshwater fish species in Lake Nasser and River Nile

Nermeen Y. Abass, Ragaa A. Ahmed, Esraa Mostafa Ashour
article en

Abstract

The present study aims to provide an inventory of eight freshwater fish species that represent 6 families obtained from Lake Nasser and the River Nile using DNA barcoding, using analysis of cytochrome oxidase subunit I (COI) gene sequences. Fish samples were identified morphologically as Ctenopharyngodon idella, Oreochromis niloticus, Bagrus bajad, Sarotherodon galilaeus, Auchenoglanis occidentalis, Lates niloticus, Sardinella tawilis, and Coptodon zillii. COI gene was successfully amplified for using PCR, showing a readable fragment length of ~ 700 base pairs (bp). The obtained sequences were compared to GenBank and the Barcode of Life Data System (BOLD). The GenBank and BOLD resulted in a total of 6 fish samples finding their best hits with similarity scores ranging from 99.29 to 100%. The average AT content (53.12%) was higher than the average GC content (46.88%) in the studied fish species. The minimum genetic Kimura 2-parameter (K2P) distance between species was 0.089 and the maximum distance was 0.313. According to phylogenetic tree analysis, the majority of fish species were grouped into monophyletic units. The current study confirms that DNA barcoding is a useful method to identify the vast majority of fish species in Lake Nasser and the River Nile. However, the morphological identification remains crucial.

Scientific ReportsVol. 15(1)
Alexandria University (EG), Aswan University (EG)
Science and Technology Development Fund
Openalex Percentile: Top 75%
Identification and Quantification in Food
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.