Genetic variability and gene flow in the globally, critically-endangered Taita thrush

被引：47

作者：

Galbusera P. ^{[1
]}

Lens L. ^{[1
,2
]}

Schenck T. ^{[1
]}

Waiyaki E. ^{[2
]}

Matthysen E. ^{[1
]}

机构：

[1] Laboratory of Animal Ecology, Department of Biology, University of Antwerp (UIA), B-2610 Wilrijk

[2] Department of Ornithology, National Museums of Kenya, Nairobi

来源：

Conservation Genetics | 2000年 / 1卷 / 1期

关键词：

Assignment test; Effective population size; Gene flow; Habitat fragmentation; Microsatellite DNA markers;

D O I：

10.1023/A:1010184200648

中图分类号：

学科分类号：

摘要：

Analysis of 155 individuals with seven polymorphic microsatellite DNA markers showed significant genetic differentiation between the only three remaining subpopulations of the globally, critically-endangered Taita thrush. Small, recently-disturbed subpopulations such as studied here may violate the assumptions of mutation-drift and gene flow-drift equilibrium inherent to most population genetic tools that estimate gene flow. We therefore identified putative dispersers using two recently-developed assignment tests based on individual genotypes. Previous-generation and current migration rates between any two subpopulations were estimated at one and zero individuals per generation, respectively. Strong congruence with non-genetic estimates of between-fragment dispersal provided indirect evidence for the accuracy of the assignment test. From a conservation perspective, the available demographic and genetic data suggest a substantial threat to the long-term survival of at least the smallest subpopulation.

引用

页码：45 / 55

页数：10

共 61 条

[1] Beentje H.J., An ecological and floristic study of the forests of the Taita Hill, Kenya, Utafiti, 1, pp. 23-66, (1987)
[2] Beerli P., Felsenstein J., Maximum-likelihood estimation of migration rates and population numbers of two populations using a coalescent approach, Genetics, 152, pp. 763-773, (1999)
[3] Brooks T., Lens L., Barnes J., Barnes R., Kihuria J.K., Wilder C., The conservation status of the forest birds of the Taita Hills, Kenya, Bird Conserv. Intern., 8, pp. 119-139, (1998)
[4] Caro T.M., Laurenson M.K., Ecological and genetic factors in conservation: A cautionary tale, Science, 263, pp. 485-486, (1994)
[5] Collar N.J., Stattersfield A.J., Crosby M.J., Birds to Watch 2. The World List of Threatened Birds, BirdLife Conserv. Ser. No. 4, (1994)
[6] Cornuet J.M., Luikart G., Description and power analysis of two tests for detecting recent population bottlenecks from allele frequency data, Genetics, 144, pp. 2001-2014, (1996)
[7] Dallimer M., Cross-species amplification success of avian microsatellites in the redbilled quelea Quelea quelea, Mol. Ecol., 8, pp. 685-702, (1999)
[8] Davies N., Villablanca F.X., Roderick G.K., Determining the source of individuals: Multilocus genotyping in nonequilibrium population genetics, TREE, 14, pp. 17-21, (1999)
[9] Degnan S.M., Robertson B.C., Clegg S.M., Moritz C.C., Microsatellite primers for studies of gene flow and mating systems in white-eyes (Zosterops), Mol Ecol., 8, pp. 159-160, (1999)
[10] Ellegren H., Lifjeld J.T., Slagsvold T., Primmer C.R., Handicapped males and extrapair paternity in pied flycatchers: A study using microsatellite markers, Mol. Ecol., 4, pp. 739-744, (1995)

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