Kress W John, Erickson David L, Jones F Andrew, Swenson Nathan G, Perez Rolando, Sanjur Oris, Bermingham Eldredge
Department of Botany, MRC-166, National Museum of Natural History, Smithsonian Institution, PO Box 37012, Washington, DC 20013-7012, USA.
Proc Natl Acad Sci U S A. 2009 Nov 3;106(44):18621-6. doi: 10.1073/pnas.0909820106. Epub 2009 Oct 19.
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.
对于物种丰富的自然群落而言,DNA条形码文库的构建尤为重要,因为准确的物种鉴定能够开展详细的生态法医学研究。此外,从这些DNA条形码序列得出的分辨率高的分子系统发育树,有可能改进对群落构建和功能性状进化潜在机制的研究。迄今为止,尚无研究以这种方式有效应用严格意义上的DNA条形码。在本报告中,我们证明,将一个包含三个基因座的DNA条形码应用于巴拿马巴罗科罗拉多岛(BCI)50公顷森林动态监测样地中发现的296种木本乔木、灌木和棕榈时,正确鉴定率超过98%。这些DNA条形码序列还被用于采用超级矩阵法为该样地中296种植物中的281种重建一个可靠的群落系统发育树。包含三个基因座的条形码数据足以可靠地重建样地中植物类群之间的进化关系,这些关系与广泛接受的开花植物系统发育树(APG II)一致。早期关于BCI森林动态监测样地系统发育结构的研究采用的是分辨率较低的系统发育树,与我们的数据相比,这些研究揭示了进化和生态推断方面的显著差异,并表明未解决的群落系统发育树可能增加了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系统发育树将如何加强针对群落生态学与进化之间界面的研究。