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Get Free AccessAbstract Shared ancestral polymorphism and introgression are two main causes of chloroplast DNA (cpDNA) haplotype sharing among closely related angiosperms. In this study, we explored the roles of these two processes in shaping the phylogeographic patterns of East Asian Cerris oaks by examining the geographic distributions of randomly and locally distributed shared haplotypes, which coincide with the expectations of shared ancestry and introgression, respectively. We sequenced 1340 bp of non‐coding cpDNA from Quercus acutissima ( n = 418) and Q. chenii ( n = 183) and compiled previously published sequence data of Q. variabilis ( n = 439). The phylogenetic relationships among haplotypes were examined using a median‐joining network. The geographic patterns of interspecifically shared haplotypes were assessed to test whether nearby populations have a higher degree of interspecific cpDNA sharing than distant ones. We identified a total of 27 haplotypes that were grouped into three non‐species‐specific lineages with overlapping distributions. Ancestral haplotypes were extensively shared and randomly distributed across populations of the three species. Some young haplotypes were locally shared in mountainous areas that may have been shared refugia. The local exchange of cpDNA resulted in an excess of similar haplotypes between nearby populations. Our study demonstrated that the haplotype sharing pattern among East Asian Cerris oaks reflected the imprints of both shared ancestral polymorphism and introgression. This pattern was also associated with the relatively stable climates and complex landscapes in East Asia, which not only allowed the long‐term persistence of ancestral lineages but also connected the survived populations across refugia.
Yao Li, Lu Wang, Xingwang Zhang, Hongzhang Kang, Chunjiang Liu, Lingfeng Mao, Yanming Fang (2022). Extensive sharing of chloroplast haplotypes among East Asian Cerris oaks: The imprints of shared ancestral polymorphism and introgression. , 12(8), DOI: https://doi.org/10.1002/ece3.9142.
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Type
Article
Year
2022
Authors
7
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1002/ece3.9142
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