Published February 1, 2017
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Fig 1. Bayesian 50 in Alphonsea glandulosa (Annonaceae), a New Species from Yunnan, China
Authors/Creators
- 1. Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, P.R. China, & Guangdong Provincial Key Laboratory of Applied Botany, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China,
- 2. Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, P.R. China, & Guangdong Provincial Key Laboratory of Applied Botany, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China, & University of Chinese Academy of Sciences, Beijing, P.R. China,
- 3. School of Biological Sciences, The University of Hong Kong, Hong Kong, P.R. China,
- 4. Center for Integrative Conservation, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla, Yunnan, P.R. China, & Southeast Asia Biodiversity Research Institute, Chinese Academy of Science, Nay Pyi Taw, Myanmar
Description
Fig 1. Bayesian 50% majority-rule consensus tree under partitioned models (cpDNA data: matK, ndhF, psbA-trnH, rbcL, trnL-F and ycf1; 63 taxa). Numbers at the nodes indicate Bayesian posterior probabilities and maximum parsimony bootstrap values (> 50%), in that order. Thick lines indicating the clades in which glands or specialized pollinator reward tissues have evolved. doi:10.1371/journal.pone.0170107.g001
Notes
Published as part of Xue, Bine, Shao, Yun-Yun, Saunders, Richard M. K. & Tan, Yun-Hong, 2017, Alphonsea glandulosa (Annonaceae), a New Species from Yunnan, China, pp. 1-16 in PLoS ONE (e0170107) 12 (2) on page 5, DOI: 10.1371/journal.pone.0170107, http://zenodo.org/record/12630690
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- Journal article: 10.1371/journal.pone.0170107 (DOI)
- Journal article: urn:lsid:plazi.org:pub:646B3B56FFD80650BE5D770EFFABBA60 (LSID)
- Journal article: http://publication.plazi.org/id/646B3B56FFD80650BE5D770EFFABBA60 (URL)
- Journal article: https://zenodo.org/record/12630690 (URL)