Plant DNA barcodes and a community phylogeny of a tropical forest dynamics plot in Panama
Plant DNA barcodes and a community phylogeny of a tropical forest dynamics plot in Panama
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DOI：
10.1073/pnas.0909820106
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发表时间：
2009-11-03
影响因子：
11.1
通讯作者：
Bermingham, Eldredge
中科院分区：
文献类型：
--
作者：
Kress, W. John;Erickson, David L.;Bermingham, Eldredge
DNA条形码库的组装在物种丰富的自然群落中特别相关，准确的物种鉴定将使详细的生态法医学研究成为可能。此外，来自这些DNA条形码序列的解析良好的分子遗传学有可能改善对社区组装和功能性状进化机制的研究。迄今为止，没有研究以这种方式有效地应用严格意义上的DNA条形码。在这份报告中，我们证明了一个三位点的DNA条形码时，应用于296种木本树木，灌木，和棕榈树内发现的50公顷的森林动力学情节的巴罗科罗拉多岛（BCI），巴拿马，导致>98%的正确识别。这些DNA条形码序列也用于重建一个强大的社区系统，采用超矩阵方法的296种植物中的281个。三个位点的条形码数据足以可靠地重建植物类群之间的进化关系的阴谋，是一致的，与广泛接受的开花植物（APG II）的亲缘关系。早期的BCI森林动态图的系统发育结构的工作，采用较低的解决probogenies揭示了显着差异的进化和生态推论相比，我们的数据，并表明，未解决的社区probogenies可能增加了I型和II型错误。这些结果说明了基于DNA条形码序列数据的高分辨率遗传学将如何加强对群落生态学和进化之间界面的研究。
The assembly of DNA barcode libraries is particularly relevant within species-rich natural communities for which accurate species identifications will enable detailed ecological forensic studies. In addition, well-resolved molecular phylogenies derived from these DNA barcode sequences have the potential to improve investigations of the mechanisms underlying community assembly and functional trait evolution. To date, no studies have effectively applied DNA barcodes sensu strictu in this manner. In this report, we demonstrate that a three-locus DNA barcode when applied to 296 species of woody trees, shrubs, and palms found within the 50-ha Forest Dynamics Plot on Barro Colorado Island (BCI), Panama, resulted in >98% correct identifications. These DNA barcode sequences are also used to reconstruct a robust community phylogeny employing a supermatrix method for 281 of the 296 plant species in the plot. The three-locus barcode data were sufficient to reliably reconstruct evolutionary relationships among the plant taxa in the plot that are congruent with the broadly accepted phylogeny of flowering plants (APG II). Earlier work on the phylogenetic structure of the BCI forest dynamics plot employing less resolved phylogenies reveals significant differences in evolutionary and ecological inferences compared with our data and suggests that unresolved community phylogenies may have increased type I and type II errors. These results illustrate how highly resolved phylogenies based on DNA barcode sequence data will enhance research focused on the interface between community ecology and evolution.