Concordance between dispersal and mitochondrial gene flow: Isolation by distance in a tropical teleost, Lates calcarifer (Australian barramundi)Export / Share PlumX View Altmetrics View AltmetricsChenoweth, S. F., Hughes, J. M., Keenan, C. P. and Lavery, S. (1998) Concordance between dispersal and mitochondrial gene flow: Isolation by distance in a tropical teleost, Lates calcarifer (Australian barramundi). Heredity, 80 . pp. 187-197. ISSN 0018-067X
Article Link: https://doi.org/10.1046/j.1365-2540.1998.00292.x AbstractPatterns of population subdivision and the relationship between gene flow and geographical distance in the tropical estuarine fish Lates calcarifer (Centropomidae) were investigated using mtDNA control region sequences. Sixty-three putative haplotypes were resolved from a total of 270 individuals from nine localities within three geographical regions spanning the north Australian coastline. Despite a continuous estuarine distribution throughout the sampled range, no haplotypes were shared among regions. However, within regions, common haplotypes were often shared among localities. Both sequence-based (average ΦST=0.328) and haplotype-based (average Φ ST=0.182) population subdivision analyses indicated strong geographical structuring. Depending on the method of calculation, geographical distance explained either 79 per cent (sequence-based) or 23 per cent (haplotype-based) of the variation in mitochondrial gene flow. Such relationships suggest that genetic differentiation of L. calcarifer has been generated via isolation-by-distance, possibly in a stepping-stone fashion. This pattern of genetic structure is concordant with expectations based on the life history of L. calcarifer and direct studies of its dispersal patterns. Mitochondrial DNA variation, although generally in agreement with patterns of allozyme variation, detected population subdivision at smaller spatial scales. Our analysis of mtDNA variation in L. calcarifer confirms that population genetic models can detect population structure of not only evolutionary significance but also of demographic significance. Further, it demonstrates the power of inferring such structure from hypervariable markers, which correspond to small effective population sizes.
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