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Population demography and genetic structure of the fat greenling (Hexagrammos otakii) inferred from mtDNA control region sequence analyses
Affiliation:1. Adelaide Proteomics Centre, School of Biological Sciences, The University of Adelaide, SA 5005;2. Institute for Photonics and Advanced Sensing (IPAS), The University of Adelaide, SA 5005;3. Institute for Research in Molecular Medicine, Universiti Sains Malaysia, 11800 Minden, Pulau Pinang, Malaysia;4. Department of Tissue Pathology and Diagnostic Oncology, Royal Prince Alfred Hospital, Camperdown, New South Wales, Australia;5. Faculty of Health and Medicine, University of New South Wales, Callaghan, New South Wales, Australia;6. School of Women''s and Infants'' Health, University of Western Australia, Crawley, Western Australia, Australia;7. Department of Gynaecological Oncology, Chris O''Brien Lifehouse, Camperdown, New South Wales, Australia;8. Discipline of Obstetrics and Gynaecology, School of Paediatrics and Reproductive Health, Research Centre for Reproductive Health, Robinson Institute, The University of Adelaide, SA 5005;9. Department of Gynaecological Oncology, Royal Adelaide Hospital, Adelaide, SA 5005, Australia
Abstract:Pleistocene ice ages in addition to geographical and geological modifications have affected the natural range and habitat of marine organisms in Northwestern Pacific. The effects of glacial events have left a genomic signature, resulting in concordant phylogeographical structures among many species. To investigate the effects of Quaternary climatic changes on the evolution in H. otakii, fragments of 471 bp at the 5′ end of mitochondrial DNA control region were sequenced for 275 individuals from 10 localities in the Northern China and Japan. Both mismatch distribution analyses and neutrality tests suggested recent population expansion (64,000–227,000 years ago). Although estimated value of pairwise population differentiation (FST) was low, half (23 of 45) of the comparisons showed statistically significant. Coalescent-based estimates show that gene flow was asymmetric or directional, most of all comparisons (57 of 65) among populations showed low evaluation value of Nm (Nm < 10). Analysis of molecular variance (AMOVA) showed genetic structuring among groups when the data was partitioned into six groups in this study. The defined pattern of genetic variation suggested a crucial role of habitat requirement, marine current, marine gyres and history process. Absence of genetic structure over hundreds of kilometers between AO and assemblage of QD, RZ and GY might imply the common coalescent other than current gene flow. Specific exchange mechanism and fine scale genetic structure need further research using faster evolution molecular markers (microsatellite markers) and further sampling.
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