Background: Phylogeographical patterns and population dynamics are usually interpreted by environmental disturbances and geographic barriers of the past. However, sister species may exhibit disparate patterns of genet...Background: Phylogeographical patterns and population dynamics are usually interpreted by environmental disturbances and geographic barriers of the past. However, sister species may exhibit disparate patterns of genetic structures and population dynamics due to their habitat preference and altitude segregation. In this study, we tested how species-specific altitude habitat affected phylogeographical patterns in two sister snowcock species, Tibetan(Tetraogallus tibetanus) and Himalayan Snowcocks(T. himalayensis).Methods: A panel of seven microsatellite loci and a fragment of Mitochondrial DNA Control Region were used to investigate genetic structures and population dynamics in hope of revealing the underlying evolutionary processes through the identification of possible past demographic events.Results: Our results suggest that T. himalayensis showed a significant phylogeographical signal in mtDNA(FST microsatellite(F the glacial-interglacial cycles in the = 0.66, p < 0.001) and ST Pleistocene and followed demog= 0.11, p < 0.001) data and is stable duringraphic contraction until 0.003 million years(Mys) ago. The phylogeographical signal of T. tibetanus is lower than the level of genetic difference among populations in mtDNA(FST icrosatellite(F= 0.41, p < 0.001) and mST s been experien= 0.09, p < 0.001) data, likely benefiting from stable habitats over a long period of time. T. tibetanus hacing expansion since 0.09 Mys ago. However, an abnormally haplotype H9 from T. himalayensis clustering with T. tibetanus was spotted.Conclusion: Our results indicate that differences in habitat preference and altitude specialities were reflected in the genetic structure patterns and population dynamics of these two species. These dissimilarities in life history traits might have affected the dispersal and survival abilities of these two species differently during environmental fluctuations. The results of this study also enriched our knowledge on population differentiation and connectivity in high altitude mountain ecosystems.展开更多
The habitat selection of Tibetan Snow Cocks in shrub vegetation was investigated in Lhasa,Tibet,China,between March and April,2005.Fourteen parameters were measured.These include altitude,slope,slope aspect,slope posi...The habitat selection of Tibetan Snow Cocks in shrub vegetation was investigated in Lhasa,Tibet,China,between March and April,2005.Fourteen parameters were measured.These include altitude,slope,slope aspect,slope position,vegetation cover,plant type and other environmental parameters.Results show that Snow Cocks favor foraging in areas where vegetation cover was small and close to the residents’houses.Supplementary food supplied by humans has caused Snow Cocks to decrease their foraging range.Snow Cocks also favor roosting in areas with low vegetation,sparse grass,short grass,large rocks and close to houses.The Snow Cocks’activity in the study areas show a close relationship with human activities.展开更多
基金the Strategic Priority Research Program of Chinese Academy of Sciences(XDA2010010103)National Natural Science Foundation of China(NSFC,Grant No.31372195 and 31772436)the Open Foundation of Research Institute of Qilian Mountains,Lanzhou University.
文摘Background: Phylogeographical patterns and population dynamics are usually interpreted by environmental disturbances and geographic barriers of the past. However, sister species may exhibit disparate patterns of genetic structures and population dynamics due to their habitat preference and altitude segregation. In this study, we tested how species-specific altitude habitat affected phylogeographical patterns in two sister snowcock species, Tibetan(Tetraogallus tibetanus) and Himalayan Snowcocks(T. himalayensis).Methods: A panel of seven microsatellite loci and a fragment of Mitochondrial DNA Control Region were used to investigate genetic structures and population dynamics in hope of revealing the underlying evolutionary processes through the identification of possible past demographic events.Results: Our results suggest that T. himalayensis showed a significant phylogeographical signal in mtDNA(FST microsatellite(F the glacial-interglacial cycles in the = 0.66, p < 0.001) and ST Pleistocene and followed demog= 0.11, p < 0.001) data and is stable duringraphic contraction until 0.003 million years(Mys) ago. The phylogeographical signal of T. tibetanus is lower than the level of genetic difference among populations in mtDNA(FST icrosatellite(F= 0.41, p < 0.001) and mST s been experien= 0.09, p < 0.001) data, likely benefiting from stable habitats over a long period of time. T. tibetanus hacing expansion since 0.09 Mys ago. However, an abnormally haplotype H9 from T. himalayensis clustering with T. tibetanus was spotted.Conclusion: Our results indicate that differences in habitat preference and altitude specialities were reflected in the genetic structure patterns and population dynamics of these two species. These dissimilarities in life history traits might have affected the dispersal and survival abilities of these two species differently during environmental fluctuations. The results of this study also enriched our knowledge on population differentiation and connectivity in high altitude mountain ecosystems.
文摘The habitat selection of Tibetan Snow Cocks in shrub vegetation was investigated in Lhasa,Tibet,China,between March and April,2005.Fourteen parameters were measured.These include altitude,slope,slope aspect,slope position,vegetation cover,plant type and other environmental parameters.Results show that Snow Cocks favor foraging in areas where vegetation cover was small and close to the residents’houses.Supplementary food supplied by humans has caused Snow Cocks to decrease their foraging range.Snow Cocks also favor roosting in areas with low vegetation,sparse grass,short grass,large rocks and close to houses.The Snow Cocks’activity in the study areas show a close relationship with human activities.
