Phylogeography of Thlaspi arvense (Brassicaceae) in China Inferred from Chloroplast and Nuclear DNA Sequences and Ecological Niche Modeling

被引:15
作者
An, Miao [1 ,2 ]
Zeng, Liyan [3 ]
Zhang, Ticao [1 ,4 ]
Zhong, Yang [1 ,5 ]
机构
[1] Fudan Univ, Sch Life Sci, Shanghai 200433, Peoples R China
[2] Chinese Acad Sci, Shanghai Chenshan Bot Garden, Shanghai Chenshan Plant Sci Res Ctr, Shanghai 201602, Peoples R China
[3] Fudan Univ, Shanghai Publ Hlth Clin Ctr, Shanghai 201508, Peoples R China
[4] Chinese Acad Sci, Kunming Inst Bot, Key Lab Plant Divers & Biogeog East Asia, Kunming 650201, Peoples R China
[5] Tibet Univ, Inst Biodivers Sci & Geobiol, Lhasa 850000, Peoples R China
关键词
QINGHAI-TIBETAN PLATEAU; ENVIRONMENTAL-CHANGE; QUATERNARY CLIMATE; NONCODING REGIONS; CANADIAN WEEDS; DIVERSITY; EVOLUTION; PLANTS; UPLIFT; BIODIESEL;
D O I
10.3390/ijms160613339
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Thlaspi arvense is a well-known annual farmland weed with worldwide distribution, which can be found from sea level to above 4000 m high on the Qinghai-Tibetan Plateau (QTP). In this paper, a phylogeographic history of T. arvense including 19 populations from China was inferred by using three chloroplast (cp) DNA segments (trnL-trnF, rpl32-trnL and rps16) and one nuclear (n) DNA segment (Fe-regulated transporter-like protein, ZIP). A total of 11 chloroplast haplotypes and six nuclear alleles were identified, and haplotypes unique to the QTP were recognized (C4, C5, C7 and N4). On the basis of molecular dating, haplotypes C4, C5 and C7 have separated from others around 1.58 Ma for cpDNA, which corresponds to the QTP uplift. In addition, this article suggests that the T. arvense populations in China are a mixture of diverged subpopulations as inferred by hT/vT test (hT <= vT, cpDNA) and positive Tajima's D values (1.87, 0.05 < p < 0.10 for cpDNA and 3.37, p < 0.01 for nDNA). Multimodality mismatch distribution curves and a relatively large shared area of suitable environmental conditions between the Last Glacial Maximum (LGM) as well as the present time recognized by MaxEnt software reject the sudden expansion population model.
引用
收藏
页码:13339 / 13355
页数:17
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