Literature DB >> 17981878

Phylogeny and biogeography of the genus Ainsliaea (Asteraceae) in the Sino-Japanese region based on nuclear rDNA and plastid DNA sequence data.

Yuki Mitsui1, Shao-Tien Chen, Zhe-Kun Zhou, Ching-I Peng, Yun-Fei Deng, Hiroaki Setoguchi.   

Abstract

BACKGROUND AND AIMS: The flora of the Sino-Japanese plant region of eastern Asia is distinctively rich compared with other floristic regions in the world. However, knowledge of its floristic evolution is fairly limited. The genus Ainsliaea is endemic to and distributed throughout the Sino-Japanese region. Its interspecific phylogenetic relationships have not been resolved. The aim is to provide insight into floristic evolution in eastern Asia on the basis of a molecular phylogenetic analysis of Ainsliaea species.
METHODS: Cladistic analyses of the sequences of two nuclear (ITS, ETS) and one plastid (ndhF) regions were carried out individually and using the combined data from the three markers. KEY
RESULTS: Phylogenetic analyses of three DNA regions confirmed that Ainsliaea is composed of three major clades that correspond to species distributions. Evolution of the three lineages was estimated to have occurred around 1.1 MYA during the early Pleistocene.
CONCLUSIONS: The results suggest that Ainsliaea species evolved allopatrically and that the descendants were isolated in the eastern (between SE China and Japan, through Taiwan and the Ryukyu Islands) and western (Yunnan Province and its surrounding areas, including the Himalayas, the temperate region of Southeast Asia, and Sichuan Province) sides of the Sino-Japanese region. The results suggest that two distinct lineages of Ainsliaea have independently evolved in environmentally heterogeneous regions within the Sino-Japanese region. These regions have maintained rich and original floras due to their diverse climates and topographies.

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Year:  2007        PMID: 17981878      PMCID: PMC2701833          DOI: 10.1093/aob/mcm267

Source DB:  PubMed          Journal:  Ann Bot        ISSN: 0305-7364            Impact factor:   4.357


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