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

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https://ir.library.oregonstate.edu/concern/articles/2f75r958f

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  • To determine how well DNA barcodes from the chloroplast region perform in forest dynamics plots (FDPs) from global CTFS-ForestGEO network, we analyzed DNA barcoding sequences of 1277 plant species from a wide phylogenetic range (3 FDPs in tropics, 5 in subtropics and 5 in temperate zone) and compared the rates of species discrimination (RSD). We quantified RSD by two DNA barcode combinations (rbcL + matK and rbcL + matK + trnH-psbA) using a monophyly-based method (GARLI). We defined two indexes of closely-related taxa (G[subscript]m/G[subscript]t and S/G ratios) and correlated these ratios with RSD. The combination of rbcL + matK averagely discriminated 88.65%, 83.84% and 72.51% at the local, regional and global scales, respectively. An additional locus trnH-psbA increased RSD by 2.87%, 1.49% and 3.58% correspondingly. RSD varied along a latitudinal gradient and were negatively correlated with ratios of closely-related taxa. Successes of species discrimination generally depend on scales in global FDPs. We suggested that the combination of rbcL + matK + trnH-psbA is currently applicable for DNA barcoding-based phylogenetic studies on forest communities.
  • Supplementary information accompanies this paper at http://www.nature.com/srep. This is the publisher’s final pdf. The published article is copyrighted by the author(s) and published by Nature Publishing Group. The published article can be found at: http://www.nature.com/articles/srep15127
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  • Pei, N., Erickson, D. L., Chen, B., Ge, X., Mi, X., Swenson, N. G., ... & Kress, W. J. (2015). Closely-related taxa influence woody species discrimination via DNA barcoding: evidence from global forest dynamics plots. Scientific Reports, 5, 15127. doi:10.1038/srep15127
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  • 5
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  • Funding was provided by the Special Fund for Forest Scientific Research in the Public Welfare (20140430105), NSF-China (31200471), the Ministry of Finance of the People's Republic of China (RITFYWZX201208), China Scholarship Council (201303270006), and CFERN & GENE Award Funds on Ecological Paper.
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