Closely-related taxa influence woody species discrimination via DNA barcoding: evidence from global forest dynamics plots

• DOI: 10.1038/srep15127
• Publication Date: 2015-10-12T09:08:53Z
• Authors: Nancai Pei; David L. Erickson; Bufeng Chen; Xuejun Ge; Xiangcheng Mi; Nathan G. Swenson; Jin-Long Zhang; Frank A. Jones; Chun-Lin Huang; Wanhui Ye; Zhanqing Hao; Chang-Fu Hsieh; Shawn Lum; Norman A. Bourg; John D. Parker; Jess K. Zimmerman; William J. McShea; Ida C. Lopez; I-Fang Sun; Stuart J. Davies; Keping Ma; W. John Kress
• Keywords: DNA Barcoding; Monophyly

Abstract To determine how well DNA barcodes from the chloroplast region perform in forest dynamics plots (FDPs) global CTFS-ForestGEO network, we analyzed barcoding sequences of 1277 plant species a wide phylogenetic range (3 FDPs tropics, 5 subtropics and temperate zone) compared rates discrimination (RSD). We quantified RSD by two barcode combinations ( rbc L + mat K trn H- psb A) using monophyly-based method (GARLI). defined indexes closely-related taxa (G m /G t S/G ratios) correlated these ratios with RSD. The combination averagely discriminated 88.65%, 83.84% 72.51% at local, regional scales, respectively. An additional locus A increased 2.87%, 1.49% 3.58% correspondingly. varied along latitudinal gradient were negatively taxa. Successes generally depend on scales FDPs. suggested that is currently applicable for barcoding-based studies communities.