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Abstract
Three tests of phylogenetic including likelihood-joining tree, neighbour-joining tree, and minimum evolution tree have been used based on sox3 gene. Phylogenetic analysis was used to detect the genetic affinity and common ancestors for selected species that belong to the same or different families. This study showed the most appropriate methods for testing the genetic affinity among species and the methodology of each test according to the requirement of molecular applications. Secondary RNA predicted structure and minimum free energy were also included in this study because of their contribution to the detection of the orthologous gene and variance in RNA folding among species related to the different families. The genetic distance in the studied populations was calculated to know the most appropriate way to find out the genetic similarity among the studied species. The low distance-variance value of each group indicated significant genetic affinity among the species of the same family, this result is more consistent with the test of maximum-likelihood tree indicating the validity of this test to measure the genetic affinity among species that have common ancestors.
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References
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- Zuber, J., Sun, H., Zhang, X., McFadyen, L., & Mathews, D. (2017). A sensitivity analysis of RNA folding nearest neighbor parameters identifies a subset of free energy parameters with the greatest impact on RNA secondary structure prediction. Nucleic Acids Research, 10, 6168-6176. https://doi.org/10.1093/nar/gkx170
References
Betancur-R, R., Wiley, E.O., Arratia, G., Acero, A., Bailly, N., Miya, M., Lecointre, G., & Ortí, G. (2017). Phylogenetic classification of bony fishes. BMC Evolutionary Biology, 17, 162. https://doi.org/10.1186/s12862-017-0958-3
Clote, P., Ferré, F., Kranakis, E., & Krizanc, D. (2005). Structural RNA has lower folding energy than random RNA of the same dinucleotide frequency. RNA, 11, 578-591. https://doi.org/10.1261/rna.7220505
Froese, R. & Pauly, D. (2021). Fish Base World Wide Web electronic publication. www.fishbase.org, version 06/2021.
Hall, T. A. (1999). BioEdit: A user-friendly biological sequence alignment editor and analysis program for windows 95/98/NT. Nucleic Acids Symposium Series, 41, 95-98. https://ci.nii.ac.jp/naid/10030689140/#cit
Hill, R. V. (2006). Comparative anatomy and histology of Xenarthran osteoderms. Journal of Morphology, 267, 1441-1460. https://doi.org/10.1002/jmor.10490
Horiike, T. (2016). An introduction to molecular phylogenetic analysis. Reviews in Agricultural Science, 4, 36- 45. https://doi.org/10.7831/ras.4.0_36
Kirkpatrick, M., & Slatkin, M. (1993). Searching for evolutionary patterns in the shape of a phylogenetic tree. Evolution, 47, 1171-1181. https://doi.org/10.2307/2409983
Kocher, T. D., & Stepien, C. A. (1997). Molecular systematics of fishes. Academic press, Harcourt, Brace & company.314pp.
Mathews, D. H., (2006). RNA secondary structure analysis using RNA structure. Current Protocol in Bioinformatics, 13, 12.6. https://doi.org/10.1002/0471250953.bi1206s13
McDowall, R. M. (1997). The evolution of diadromy in fishes (revisited) and its place in phylogenetic analysis. Reviews in Fish Biology and Fisheries, 7, 443-462. https://doi.org/10.1023/A:1018404331601
Moss, W. N. (2018). The ensemble diversity of non-coding RNA structure is lower than random sequence. Advancing Research Evolution Science, 3, 100-107. https://doi.org/10.1016/j.ncrna.2018.04.005
Mourabit, S., Moles, M. W., Smith E., van Aerle, R., & Kudoh, T. (2014). Bmp suppression in mangrove killifish embryos causes a split in the body axis. PLoS ONE 9, e84786. https://doi:10.1371/journal.pone.0084786
Nelson, G. J. (1969). Origin and diversification of teleostean fishes. Annals of the New York Academy of Sciences. 167, 18-30. https://doi.org/10.1111/j.1749-6632.1969.tb20431.x
Ybazeta, G., & Santini, F. (2004). Patterns and processes in the evolution of fishes: An Introduction to the Symposium. Integrative and Comparative Biology, 44, 331-332. https://doi.org/10.1093/icb/44.5.331
Zuber, J., Sun, H., Zhang, X., McFadyen, L., & Mathews, D. (2017). A sensitivity analysis of RNA folding nearest neighbor parameters identifies a subset of free energy parameters with the greatest impact on RNA secondary structure prediction. Nucleic Acids Research, 10, 6168-6176. https://doi.org/10.1093/nar/gkx170