Geographic distribution of microsatellite alleles in geladas (Primates, Cercopithecidae): Evidence for three evolutionary units
Geographic distribution of microsatellite alleles in geladas (Primates, Cercopithecidae): Evidence for three evolutionary units
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狒狒(灵长类、鹿科)微卫星等位基因的地理分布:三个进化单位的证据
DOI:
10.1111/zsc.12451
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发表时间:
2020
影响因子:
2.5
通讯作者:
Moges, Amera
中科院分区:
文献类型:
--
作者:
Trede, Franziska;Lemkul, Anna;Atickem, Anagaw;Beehner, Jacinta C.;Bergman, Thore J.;Burke, Ryan;Fashing, Peter J.;Knauf, Sascha;Mekonnen, Addisu;Moges, Amera
The subspecific taxonomy and distribution of geladas (Theropithecus geladaRüppell, 1835) remains uncertain. Recent molecular studies based on mitochondrial sequence data revealed a geographically structured, three‐deme population, suggesting that there are three evolutionary units of geladas. However, mitochondrial distributions do not always recover population relationships, particularly in taxa with a complex history of isolation and gene flow. We therefore analysed the nuclear genetic population structure of the global gelada population based on 20 microsatellite loci in 43 samples from across its geographic range.FSTvalues, a STRUCTURE analysis and a principal coordinate analysis (PCoA) confirmed the three‐deme population structure corresponding to the mitochondrial population structure. Therefore, our analyses provide additional support for three evolutionary units in geladas, corresponding to (a) a northern (north of Lake Tana, primarily in the Simien Mountains, previously classified asTheropithecus gelada geladaRüppell, 1835), (b) a central (between Addis Ababa and the highlands east of Lake Tana, previously classified asTheropithecus gelada obscurusHeuglin, 1863) and (c) a southern (south of the Rift Valley, previously tentatively classified asTheropithecus gelada arsiShotake et al., 2016,Anthropological Science, 124, 157) population. These results pave the way for future conservation decisions and highlight that the gelada population boundaries need more fine‐grained genetic sampling and phenotypic analyses, in particular for their taxonomic ranking.
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影响因子:
3.3
作者:
J. K. Pritchard;Matthew Stephens;Peter Donnelly
通讯作者:
J. K. Pritchard;Matthew Stephens;Peter Donnelly
影响因子:
2.1
作者:
S. Dray;A. Dufour;D. Chessel
通讯作者:
S. Dray;A. Dufour;D. Chessel
影响因子:
3.7
作者:
D. Zinner;Anagaw Atickem;J. Beehner;A. Bekele;T. Bergman;R. Burke;S. Dolotovskaya;Peter J. Fashing;S. Gippoliti;S. Knauf;Y. Knauf;Addisu Mekonnen;Amera Moges;Nga Nguyen;N. Stenseth;C. Roos
通讯作者:
C. Roos
影响因子:
3.2
作者:
D. Geraads;L. de Bonis
通讯作者:
L. de Bonis
影响因子:
1.7
作者:
A. Mori;G. Belay
通讯作者:
G. Belay