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Genetic Structure Analysis of Freshwater Fish Cirrhinus mrigala by Mitochondrial COI Gene

PJZ_54_3_1483-1485

Genetic Structure Analysis of Freshwater Fish Cirrhinus mrigala by Mitochondrial COI Gene

Shahid Sherzada1,2*, Muhammad Naeem Khan1 and Masroor Ellahi Babar2

1Department of Zoology, University of the Punjab, Lahore, Pakistan

2Department of Fisheries and Aquaculture, University of Veterinary and Animal Sciences, Lahore, Pakistan

3University of Agriculture, Dera Ismail Khan, Pakistan

ABSTRACT

The current study aimed at genetic analysis of by Cirrhinus mrigala using mitochondrial DNA marker cytochrome oxidase I (COI). Genomic DNA isolated from whole blood was used to amplify and sequence a short region of COI gene in mitochondrial DNA. The identification of sequenced samples was done by NCBI (98-99%) and BOLD (99%) databases. The sequence data analysis represented 15 variable polymorphic sites and 4 haplotypes. Mean haplotypes and nucleotide diversity was 0.42 and 0.0018, respectively. The mean intraspecific and intragenric K2P genetic distances were 0.2% and 1.2%, respectively. Rate of transitional and transversional substitution was 16.68% and 4.16%, respectively. The transition/transversion bias value R was 1.25. The negative values of Tajima D test as well as Fu and Li D and F tests supported the process of population expansion with excess of rare alleles. The overall results showed a lack of neutral evolution and low genetic differentiation among populations of C. mrigala.


Article Information

Received 19 March 2020

Revised 28 June 2020

Accepted 08 August 2020

Available online 06 July 2021

(early access)

Published 07 March 2022

Authors’ Contribution

SS conducted the research work including data collection and experimental work. MNK and MEB supervised and reviewed the manuscript thoroughly.

Key words

Cirrhinus mrigala, COI gene, K2P genetic distances, Population expansion

DOI: https://dx.doi.org/10.17582/journal.pjz/20200319120326

* Corresponding author: shahid.sherzada@uvas.edu.pk

0030-9923/2022/0003-1483 $ 9.00/0

Copyright 2022 Zoological Society of Pakistan



Identification of fish stock is very important for successful and sustainable management. Identification is usually done through phenotypic characters instead of genetic differentiation. It may lead to mislabeling of fish species. So morphometric plus molecular approach is highly recommended for the authentic identification of any species as both the factors are very helpful in efficient recognition and discrimination of species. Precise knowledge about population genetic structure is vital for its sustainable growth as well as its conservation status (Shui et al., 2009). There is a great biodiversity among fish fauna of world. This fish fauna exhibit substantial morphological variation at various stages of development that leads to DNA barcoding a striking technique for identification (Hubert et al., 2008). DNA barcoding is also used for authentication of mislabeled seafood as well as recognition of species specific contaminants in fish products that can cause serious illness to humans (Ward et al., 2009; Lowenstein et al., 2010). The barcode sequence obtained from fish, fillet, fin, eggs and larvae can be matched against reference sequences on Barcode of Life Database System for proper identification (http://www.barcodinglife.org). The present study was conducted to identify the freshwater fish Cirrhinus mrigala at molecular level, which is commonly cultured in freshwater reservoirs of Pakistan.

Materials and methods

Fortyfour fish samples were captured from four geographically isolated fish farms located in Punjab province of Pakistan. Blood samples were taken from fish gills and these samples were further preserved in EDTA coated vials in order to prevent blood clotting. Four site locations were; Qaim Bharwana fish farm District Jhang (30.97ºN, 72.15ºE), Haveli Koranga fish farm District Khanewal (30.65ºN, 72.02ºE), Murad Abad fish farm District Muzafargarh (30.18ºN, 71.03ºE) and Rajanpur fish farm District Rajanpur (29.08ºN, 70.29ºE). The average length of these experimental fishes was 34±5 cm and average weight was 900±100g.

Morphometric identification was done following taxonomic key (Mirza and Sandhu, 2007) and also by the key provided by Punjab Fisheries Department.

The genomic DNA was isolated from whole fish blood by using the standard organic method of DNA extraction (Sambrook and Russell, 2006) with some modifications. The extracted DNA was dissolved in low TE buffer and was stored at -20ºC. Extracted DNA was quantified by gel electrophoresis and by Nanodrop method.

Universal fish primers used for the amplification of a short segment of mitochondrial DNA (Ward et al., 2005) are given as follows:

Fish F1: 5’TCAACCAACCACAAAGACATTGGCAC3’

Fish R1: 5’TAGACTTCTGGGTGGCCAAAGAATCA3’

The polymerase chain reaction (PCR) was accomplished using Thermocycler T100 BioRad (Ozcelik et al., 2012). For PCR reaction, a reaction mixture of 25 µl comprised of 2µl DNA template, 1µl dNTPs, 3µl Mgcl2, 3µl buffer, 0.4µl primer forward, 0.4 µl primer reverse, 0.4µl Taq polymerase enzyme, and 14.8µl deionized water. The PCR conditions comprised initial denaturation for 5 min at 95ºC, denaturation for 30 seconds at 95ºC, annealing at 55ºC for 1 min, extension at 72ºC for 1 min and final extension for 10 min at 72ºC. The PCR product checked on 1.5% agarose gel were sent for sequencing.

The sequenced samples were assembled and aligned base pair wise by using BIOEDIT software and Clustal W alignment programme. Bioinformatics data analysis tools like MEGA version 6.0, DNASP version 5.0 were utilized for the assessment of genetic distances, number of haplotypes, polymorphic sites, haplotypes diversity and nucleotide diversity etc. (Rozas et al., 2003).

 

Results and discussion

A partial sequence of COI gene was used and a consensus sequence of 649 bp was applied for further data analysis. COI sequences of C. mrigala were aligned and checked for species resemblance with reference sequences on NCBI (98-99%) and BOLD (99%) databases. Proper accession numbers were assigned to submitted sequences of C. mrigala fish species (Table 1). Genetic relationship among Cirrhinus species is evaluated by Maximum likelihood tree method (Fig. 1). Average read length was 649bp having 15 variable polymorphic sites. Out of 15 variable polymorphic sites, singleton variable characters were 6 having site positions; 3, 111, 165, 633, 645 and 649 while variable characters with parsimony informative sites were 9. Numbers of haplotypes were 4 (Fig. 2). More variable sites were found in first codon which indicated that evolutionary process took many years to happen in different fishes of family cyprinidae (Wang et al., 2002; Barat et al., 2012). Mean haplotypes and nucleotide diversity was 0.42 and 0.0018, respectively. A similar pattern of haplotype diversity (0.5256 ± 0.1527 and 0.4909 ± 0.1754) in Bagarius bagarius populations (Nagarajan et al., 2016) as well as nucleotide diversity (.0022) was observed in Indian major carp species.

 

Table I. Haplotypes of COI gene of Cirrhinus mrigala collected from sampling sites with assigned Genbank Accession numbers.

Sampling sites

Site location

Samples

Accession number

Qaim Bharwana

30.97ºN 72.15ºE

12

MK820366

Haveli Koranga

30.65ºN 72.02ºE

8

MK820367

Murad Abad

30.18ºN 71.03ºE

10

MK820368

Rajanpur

29.08ºN 70.29ºE

14

MK820369

 

The mean intraspecific and intragenric K2P genetic distances were 0.2% and 1.2%, respectively. The intragenric variation (1.2%) was greater than intraspecific variation (0.2%) and such kind of results were also reported previously for COI and cytochrome b genes in some other fishes of different families (Habib et al., 2011; Nadiatul et al., 2011). The transition/transversion bias value R was 1.25 while gamma parameter distribution value was 26.09. Rate of transitional and transversional substitution was 16.68% and 4.16% respectively. Rate of transition substitution were higher than transversion substitution at all three codon position and this high transition bias value is very common in vertebrate mitochondrial DNA (Meyer, 1993; Karim et al., 2016; Khan et al., 2016).

The average values of nucleotides in C. mrigala was calculated as T, 28%; C, 28.7%; A, 25.3%; G, 18% with combined composition as, A+T= 53.3%, G+C= 46.7%. Low GC content of nucleotide composition indicated a typical anti-G bias pattern which is usually found in freshwater teleost fishes (Khan et al., 2016; Akhtar and Ali, 2016). The rate of population demographic changes (bottlenecks or expansions) and neutrality test was assessed by using two approaches; Tajima D test and the Fu and Li D and F tests (Tajima D: -1.04849; Fu and Li’s D test: -1.0419; Fu and Li’s F test: -1.05189). The significant negative values of Tajima D test and the Fu and Li D and F tests indicated a sudden expansion in population or genetic hitchhiking. This phenomenon of population expansion or genetic hitchhiking was a sign of inflow of excess number of alleles into the populations. These results were totally in agreement with the results found in genetic diversity analysis of Chocolate mahseer (Neolissochilus hexagonolepis) populations (Sharma et al., 2019) as well as Bagarius bagarius populations (Nagarajan et al., 2016).

Conclusion

A low level of genetic divergence was found among the samples of C. mrigala captured from four different sites. Therefore, a broad spectrum study involving more sampling locations and use of some extra genetic markers is inevitable for solid assessment of genetic differentiation among C. mrigala population in Pakistan. This information will ultimately aid in genetic improvement and management of cultured and wild populations of C. mrigala.

Statement of conflict of interest

The authors have declared no conflict of interest

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Pakistan Journal of Zoology

August

Vol. 54, Iss. 4, Pages 1501-2001

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