STUDY ON GENETIC VARIATIONS IN GROWTH-ASSOCIATED GENES IN COMMON CARP USING AN RNA-SEQ APPROACH | Giang | TNU Journal of Science and Technology

STUDY ON GENETIC VARIATIONS IN GROWTH-ASSOCIATED GENES IN COMMON CARP USING AN RNA-SEQ APPROACH

About this article

Received: 13/02/25                Revised: 16/07/25                Published: 16/07/25

Authors

1. Luu Thi Ha Giang Email to author, Research Institute for Aquaculture No. 1
2. Vu Van In, Vietnam Japan University - Vietnam National University, Hanoi
3. Vu Thi Huyen, Research Institute for Aquaculture No. 1
4. Pham Hong Nhat, Research Institute for Aquaculture No. 1
5. Kim Thi Phuong Oanh, Institute of Biology - Vietnam Academy of Science and Technology

Abstract


Genetic variants play a crucial role in identifying genetic polymorphisms related to valuable traits, thus enhancing selection efficiency. This study utilized RNA sequencing technology and bioinformatics tools to analyze genetic variations between fast- and slow-growing carp groups, focusing on seven growth-related genes (GH, IGF, MRF5, MRF6, MyoD, MyoG, Myosin). The total number of reads obtained for the fast- and slow-growing carp was 24,598,256 ± 849,080 and 24,861,129 ± 1,082,078, respectively, with a high mapping rate ranging from 84.79 ± 4.42% to 87.64 ± 4.7%. The total number of variants identified in the fast-growing carps was 766,526, compared to 720,487 in the slow-growing carps. Variants were classified based on their impact, functional effects, and genomic locations in both groups. Over 80% of the variants were located in regulatory regions, while more than 53% were silent mutations, and a low proportion of variants were concentrated in the coding region (13.61–32.63%). The fast-growing carps exhibited a higher proportion of variants in coding regions, with GH having the highest proportion of 32.63%, suggesting its potential use as a molecular marker for selective breeding of fast-growing carps. These findings provide a scientific basis for developing molecular markers linked to growth traits in common carp.

Keywords


Genetic variation; Common carp; RNA-Seq; Growth-related genes; Functional impact

References


[1] Food and Agriculture Organization (FAO), “The State of World Fisheries and Aquaculture 2024: Blue Transformation in action,” Network of Aquaculture Centres in Asia-Pacific, 2025. [Online]. Available: https://enaca.org/?id=1337. [Accessed Mar. 18, 2025].

[2] M. T. Tran and T. C. Nguyen, “Selection of common carp (Cyprinus carpio L.) in Vietnam,” Aquaculture, vol. 111, pp. 301–302, 1993.

[3] B. Muslimin and B. Retnoaji, “Polymorphism in exon 4 of snakehead fish (Channa striata) growth hormone gene from Sumatra (Indonesia) and its association with growth traits,” AACL Bioflux, vol. 13, no. 5, pp. 3163-3174. 2020.

[4] D. G. de la Serrana and D. J. Macqueen, “Insulin-Like Growth Factor-Binding Proteins of Teleost Fishes,” Frontiers in Endocrinology, vol. 9, 2018. [Online]. Available: https://www.frontiersin.org/ articles/10.3389/fendo.2018.00080. [Accessed Feb. 04, 2023].

[5] M. Rajesh et al., “Molecular characterisation and transcriptional regulation of muscle growth regulatory factors myogenin and myogenic factor 6 in the Trans-Himalayan cyprinid fish Schizothorax richardsonii,” Comparative Biochemistry and Physiology Part A: Molecular & Integrative Physiology, vol. 231, pp. 188–200, May 2019, doi: 10.1016/j.cbpa.2019.02.007.

[6] W. Joyce, “Muscle growth and plasticity in teleost fish: the significance of evolutionarily diverse sarcomeric proteins,” Rev. Fish Biol. Fisheries, vol. 33, no. 4, pp. 1311–1327, Dec. 2023, doi: 10.1007/s11160-023-09800-8.

[7] R. Wenne, “Microsatellites as Molecular Markers with Applications in Exploitation and Conservation of Aquatic Animal Populations,” Genes (Basel), vol. 14, no. 4, Mar. 2023, doi: 10.3390/genes 14040808.

[8] U. Borthakur, “SNP and InDel Identification and Annotation from RNA-Sequencing Data,” AFJBS, vol. 6, no. 7, pp. 3233–3244, Jun. 2024, doi: 10.48047/AFJBS.6.7.2024.3233-3244.

[9] Novogene, "Novogene," 2025. [Online]. Available: https://www.novogene.com/amea-en/. [Accessed May. 15, 2025].

[10] S. Andrews, “Babraham Bioinformatics - FastQC A Quality Control tool for High Throughput Sequence Data,” 2024. [Online]. Available: https://www.bioinformatics.babraham.ac.uk/ projects/fastqc/. [Accessed Apr. 20, 2024].

[11] M. Anthony, M. Lohse, and B. Usadel, “Trimmomatic: a flexible trimmer for Illumina sequence data | Bioinformatics | Oxford Academic,” Bioinformatics, vol. 30, no. 15, pp. 2114–2120, 2014.

[12] D. Kim, B. Langmead, and S. L. Salzberg, “HISAT: a fast spliced aligner with low memory requirements,” Nat Methods, vol. 12, no. 4, pp. 357–360, Apr. 2015, doi: 10.1038/nmeth.3317.

[13] F. Richter et al., “Whole Genome De Novo Variant Identification with FreeBayes and Neural Network Approaches,” bioRxiv, Mar. 25, 2020, doi: 10.1101/2020.03.24.994160.

[14] P. Cingolani, “Variant Annotation and Functional Prediction: SnpEff,” in Variant Calling: Methods and Protocols, C. Ng and S. Piscuoglio, Eds., New York, NY: Springer US, 2022, pp. 289–314, doi: 10.1007/978-1-0716-2293-3_19.

[15] J. I. Bertucci, A. M. Blanco, L. Sundarrajan, J. J. Rajeswari, C. Velasco, and S. Unniappan, “Nutrient Regulation of Endocrine Factors Influencing Feeding and Growth in Fish,” Front. Endocrinol., vol. 10, Feb. 2019, doi: 10.3389/fendo.2019.00083.

[16] P. Xu et al., “Genome sequence and genetic diversity of the common carp, Cyprinus carpio,” Nat. Genet., vol. 46, no. 11, pp. 1212–1219, Nov. 2014, doi: 10.1038/ng.3098.

[17] J. Xu et al., “Genome-Wide SNP Discovery from Transcriptome of Four Common Carp Strains,” PLOS ONE, vol. 7, no. 10, Oct. 2012, Art. no. e48140, doi: 10.1371/journal.pone.0048140.

[18] G. Gao et al., “A New Single Nucleotide Polymorphism Database for Rainbow Trout Generated Through Whole Genome Resequencing,” Front. Genet., vol. 9, Apr. 2018, doi: 10.3389/fgene.2018.00147.

[19] J. Yang and M. Adli, “Mapping and Making Sense of Noncoding Mutations in the Genome,” Cancer Research, vol. 79, no. 17, pp. 4309–4314, Sep. 2019, doi: 10.1158/0008-5472.CAN-19-0905.

[20] T. T. H. Tran, H. T. Nguyen, B. T. N. Le, P. H. Tran, S. V. Nguyen, and O. T. P. Kim, “Characterization of single nucleotide polymorphism in IGF1 and IGF1R genes associated with growth traits in striped catfish (Pangasianodon hypophthalmus Sauvage, 1878),” Aquaculture, vol. 538, May 2021, Art. no. 736542, doi: 10.1016/j.aquaculture.2021.736542.

[21] N. I. Jing, Y. O. U. Feng, and X. U. Jianhe, “Single nucleotide polymorphisms in intron 1 and intron 2 of Larimichthys crocea growth hormone gene are correlated with growth traits,” Chinese Journal of Oceanology and Limnology, Jan. 2012. [Online]. Available: https://www.academia.edu/88099483/ Single_nucleotide_polymorphisms_in_intron_1_and_intron_2_of_Larimichthys_crocea_growth_hormone_gene_are_correlated_with_growth_traits. [Accessed Feb. 08, 2025].

[22] S. K. K. Jaser, M. A. D. Dias, A. de A. Lago, R. V. R. Neto, and A. W. S. Hilsdorf, “Single nucleotide polymorphisms in the growth hormone gene of Oreochromis niloticus and their association with growth performance,” Aquaculture Research, vol. 48, no. 12, pp. 5835–5845, 2017, doi: 10.1111/are.13406.

[23] J. H. Xia et al., “Signatures of selection in tilapia revealed by whole genome resequencing,” Sci. Rep., vol. 5, no. 1, Sep. 2015, Art. no. 14168, doi: 10.1038/srep14168.

[24] A. C. Bertolotti et al., “The structural variation landscape in 492 Atlantic salmon genomes,” Nat Commun, vol. 11, no. 1, Oct. 2020, Art. no. 5176, doi: 10.1038/s41467-020-18972-x.

[25] F. Zhang and J. R. Lupski, “Non-coding genetic variants in human disease,” Hum. Mol. Genet., vol. 24, no. R1, pp. R102–R110, Oct. 2015, doi: 10.1093/hmg/ddv259.

[26] X. Feng, X. Yu, M. Pang, H. Liu, and J. Tong, “Molecular characterization and expression of three preprosomatostatin genes and their association with growth in common carp (Cyprinus carpio),” Comparative Biochemistry and Physiology Part B: Biochemistry and Molecular Biology, vol. 182, pp. 37–46, Apr. 2015, doi: 10.1016/j.cbpb.2014.12.001.

[27] T. T. H. Tran, B. T. N. Le, S. V. Nguyen, and O. T. P. Kim, “Non-synonymous polymorphism in IGFBP-3 gene associated with growth traits in striped catfish (Pangasianodon hypophthalmus, Sauvage, 1878),” Vietnam Journal of Biotechnology, vol. 21, no. 2, Jun. 2023, Art. no. 2, doi: 10.15625/1811-4989/18240.




DOI: https://doi.org/10.34238/tnu-jst.12042

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