Author:
Pratima Mishra1, Mukesh Dixit1 and Kalpana Dave2*
Journal Name: Biological Forum, 17(5): 140-143, 2025
Address:
1Department of Zoology, Sarojini Naidu Govt. Girls P.G. (Auto.) College, Bhopal (Madhya Pradesh), India.
2Department of Zoology, Govt Dr Shyama Prasad Mukharjee Science and Commerce College, Bhopal (Madhya Pradesh), India.
(Corresponding author: Kalpana Dave*)
DOI: https://doi.org/10.65041/BiologicalForum.2025.17.5.20
Catla catla, Actin-Beta 2 gene, seasonal variation, gene expression, Kolar Reservoir, aquaculture, freshwater ecosystems.
Catla catla, commonly known as catla, is a significant freshwater fish species belonging to the family Cyprinidae (Sarala & Bhuvana 2024), widely recognized for its importance in aquaculture throughout South Asia, particularly in India. Known for its rapid growth rate and palatability, catla is a staple in many communities' diets and plays a vital role in the livelihoods of fishers and aquaculture practitioners. Its nutritional benefits and economic value make it a crucial component in local and regional markets. Characterized by its large head and elongated body, Catla catla thrives in diverse freshwater environments like rivers, lakes, and reservoirs. As an omnivorous fish, it primarily consumes plankton, detritus, and plant matter, playing a key role in the aquatic food web. Its ability to efficiently utilize available resources enhances its survival in various habitats, ensuring widespread distribution and cultivation.
Despite its ecological and economic significance, the genetic diversity of Catla catla requires further exploration, especially concerning genetic polymorphism in contractile proteins such as actin and myosin. These proteins are crucial for muscle development and function, directly influencing swimming performance, growth rates, and overall fish health (Shadwick et al., 2013). Understanding the genetic variations in these proteins can shed light on Catla catla's adaptability to environmental changes and various aquaculture practices, aiding in improved management strategies. Genetic polymorphism significantly affects the phenotypic traits of fish, including growth and disease resistance. Identifying variations in the contractile protein genes of Catla catla can reveal economically beneficial traits essential for selective breeding programs to enhance aquaculture productivity. Knowledge of genetic diversity also enables better responses to environmental stressors, ensuring this species' resilience across aquaculture settings.
As freshwater ecosystems face increasing threats from overexploitation, pollution, and climate change, studying genetic diversity in key species like Catla catla is vital for promoting sustainable fishery practices and conservation efforts (Mohanty et al., 2013). Investigating genetic polymorphism in contractile proteins provides valuable information for effectively managing catla populations, ensuring ecological balance and economic viability. This research focuses on analyzing the seasonal expression patterns of the Actin-beta 2 gene in Catla catla from the Kolar Reservoir. By understanding how seasonal variations affect muscle development, we aim to offer insights that will guide fisheries management and improve aquaculture efficiency throughout different seasons, ultimately supporting sustainable practices and enhancing productivity (Soranganba, 2022).
The following primers were designed using Primer3web version 4.1.0 for this study: Actin-Beta 2 Primers Forward: 5′-CACCTTCTACAACGAGCTGC-3′, Reverse: 5′-GACACCATCACCAGAGTCCA-3′. 18S rRNA Primers (Housekeeping gene, from Duan et al. (2016) Forward: 5′-TAGCGACGGGCGGTGTGT-3′. Reverse: 5′-TGATTGGGACTGGGGATTGAA-3′. This methodology outlines the comprehensive steps taken for RNA extraction, cDNA synthesis, and gene expression analysis using qRT-PCR, providing a robust framework for studying the seasonal variation in Actin-Beta 2 gene expression in Catla catla.
This study looked at how the Actin-Beta 2 gene in Catla catla, or catla fish, changes with the seasons in Kolar Reservoir (Bowden et al., 2007). Our results show that there are significant differences in gene expression depending on whether it's winter, summer, or monsoon. In our analysis, we found that seasonal differences are very important; the statistical test showed a significant difference (P = 0.0014) in the gene expression levels among the three seasons (Table 1, Fig. 1). The F-statistic of 12.04 suggests that a good portion (around 66.74%) of the variation in gene expression was influenced by the seasons. We also checked if the variance among the groups was similar using Bartlett's test (Bartlett & Kendall 1946) as given in Table 3. The result confirmed that the variances were not significantly different (P = 0.4237), which means we can trust our comparisons of gene expression (Table 2).Using Tukey's Multiple Comparison Test (Keselman & Rogan 1977), we found that the expression of the Actin-Beta 2 gene was significantly lower in winter compared to monsoon (mean difference of -0.3847, P < 0.05) (Table 4). This makes sense because the warmer conditions during the monsoon may help the fish grow better. The confidence interval we calculated supports this finding, showing a clear difference. Looking at winter and summer, we saw no significant difference (mean difference of -0.02861, P > 0.05). This suggests that the conditions in these two seasons might be more similar for the fish. However, when comparing monsoon and summer, the gene expression was again notably higher in the monsoon (mean difference of 0.3561, P < 0.05). The results indicate that conditions during the monsoon are very favorable for the fish (Sreekanth et al., 2019). In Catla catla. The fish seem to thrive better in the monsoon due to more food availability and favorable temperatures, leading to increased growth rates. On the other hand, during winter, the colder temperatures likely slow down their growth and reduce gene expression.
Fig. 1. The graph showing the One-way analysis of variance and Tukey's Multiple Comparison Test results on the mRNA of Actin-beta 2 gene muscle tissue of Catla catla.
Metric | Value |
P Value | 0.0014 |
P Value Summary | ** |
Are Means Significantly Different? (P < 0.05) | Yes |
Number of Groups | 3 |
F Statistic | 12.04 |
R-Squared | 0.6674 |
Source | SS | df | MS |
Treatment (Between Groups) | 0.4593 | 2 | 0.2296 |
Residual (Within Groups) | 0.2288 | 12 | 0.01907 |
Total | 0.6881 | 14 |
Metric | Value |
Bartlett's Statistic (corrected) | 1.718 |
P Value | 0.4237 |
P Value Summary | ns |
Do the Variances Differ Significantly? (P < 0.05) | No |
Comparison | Mean Diff. | q | Significant? (P < 0.05) | Summary | 95% CI of Difference |
Winter vs Monsoon | -0.3847 | 6.229 | Yes | ** | -0.6177 to -0.1517 |
Winter vs Summer | -0.02861 | 0.4633 | No | ns | -0.2616 to 0.2044 |
Monsoon vs Summer | 0.3561 | 5.765 | Yes | ** | 0.1230 to 0.5891 |
Bartlett, M. S. and Kendall, D. G. (1946). The statistical analysis of variance—heterogeneity and the logarithmic transformation. Supplement to the Journal of the Royal Statistical Society, 8(1), 128-138.
Bowden, T. J., Thompson, K. D., Morgan, A. L., Gratacap, R. M. and Nikoskelainen, S. (2007). Seasonal variation and the immune response: A fish perspective. Fish & Shellfish Immunology, 22(6), 695-706.
Duan, J. R., Fang, D. A., Zhang, M. Y., Liu, K., Zhou, Y. F., Xu, D. P., Xu, P. and Hassan, M. A., Aftabuddin, M. and Sharma, A. P. (2014). Nutrition and feeding of Indian major carp—A bibliography. Central Inland Fisheries Research Institute, 188.
Keselman, H. J. and Rogan, J. C. (1977). The Tukey multiple comparison test: 1953–1976. Psychological Bulletin, 84(5), 1050.
Kocmarek, A. L., Ferguson, M. M. and Danzmann, R. G. (2014). Differential gene expression in small and large rainbow trout derived from two seasonal spawning groups. BMC Genomics, 15, 1-19.
Mohanty, B. P., Banerjee, S., Bhattacharjee, S., Mitra, T., Purohit, G. K., Sharma, A. P. and Mohanty, S. (2013). Muscle proteomics of the Indian major carp catla (Catla catla, Hamilton). Journal of Proteomics and Bioinformatics, 6, 252-263.
Sarala, N. and Bhuvana, G. (2024). An analysis of Catla fish behavior and market trends using fuzzy modeling. Journal of Nonlinear Analysis and Optimization, 15(2, No. 5).
Shadwick, R. E., Schiller, L. L. and Fudge, D. S. (2013). Physiology of swimming and migration in tunas. In Swimming Physiology of Fish: Towards Using Exercise to Farm a Fit Fish in Sustainable Aquaculture (pp. 45-78).
Soranganba, N. (2022). Seasonal plasma cortisol level of Amur common carp among different age groups in Tarai region of Uttarakhand. Biological Forum – An International Journal, 14(4), 464-467.
Pratima Mishra, Mukesh Dixit and Kalpana Dave (2025). Seasonal Variation in Actin-Beta 2 Gene Expression in Catla catla from Kolar Reservoir, Bhopal District, Madhya Pradesh. Biological Forum, 17(5): 140-143.