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PMID: 23850510 已发表 · ppublish 英语

Molecular phylogeny of the nettle family (Urticaceae) inferred from multiple loci of three genomes and extensive generic sampling.

Molecular phylogenetics and evolution ·第 69 卷 ·第 3 期 ·2014-04-22

Wu Zeng-Yuan, Monro Alex K, Milne Richard I, Wang Hong, Yi Ting-Shuang, Liu Jie, Li De-Zhu

摘要

Urticaceae is one of the larger Angiosperm families, but relationships within it remain poorly known. This study presents the first densely sampled molecular phylogeny of Urticaceae, using maximum likelihood (ML), maximum parsimony (MP) and Bayesian inference (BI) to analyze the DNA sequence data from two nuclear (ITS and 18S), four chloroplast (matK, rbcL, rpll4-rps8-infA-rpl36, trnL-trnF) and one mitochondrial (matR) loci. We sampled 169 accessions representing 122 species, representing 47 of the 54 recognized genera within Urticaceae, including four of the six sometimes separated as Cecropiaceae. Major results included: (1) Urticaceae including Cecropiaceae was monophyletic; (2) Cecropiaceae was biphyletic, with both lineages nested within Urticaceae; (3) Urticaceae can be divided into four well-supported clades; (4) previously erected tribes or subfamilies were broadly supported, with some additions and alterations; (5) the monophyly of many genera was supported, whereas Boehmeria, Pellionia, Pouzolzia and Urera were clearly polyphyletic, while Urtica and Pilea each had a small genus nested within them; (6) relationships between genera were clarified, mostly with substantial support. These results clarify that some morphological characters have been overstated and others understated in previous classifications of the family, and provide a strong foundation for future studies on biogeography, character evolution, and circumscription of difficult genera.

关键词
Cecropiaceae Molecular phylogeny Phylogenetic trees Three genomes Urticaceae infra-familial relationships
文献信息
期刊
Molecular phylogenetics and evolution
期刊简称
Mol Phylogenet Evol
发表日期
2014-04-22
收录日期
2013-09-30
更新日期
2013-09-30
语言
英语
国家/地区
United States
NLM ID
9304400
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