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Research paper | Open Access

RAD-seq data reveals robust phylogeny and morphological evolutionary history of Rhododendron

Yuanting Shena,b,c,1,Gang Yaoa,b,1Yunfei Lid,1Xiaoling TianeShiming LidNian WangfChengjun ZhanggFei WanghYongpeng Maa,b( )
Yunnan Key Laboratory for Integrative Conservation of Plant Species with Extremely Small Populations, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan 650201, China
Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan 650201, China
University of Chinese Academy of Sciences, Beijing 100049, China
Beijing Genomics of Institute, Shenzhen, Guangdong 518120, China
Guiyang Institute of Humanities and Technology, Guiyang, Guizhou 550025, China
State Forestry and Grassland Administration Key Laboratory of Silviculture in Downstream Areas of the Yellow River, College of Forestry, Shandong Agricultural University, Tai'an, Shandong 271018, China
The Southwest China of Germplasm Bank of Wild Species, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan 650201, China
West China Subalpine Botanical Garden, Institute of Botany, Chinese Academy of Sciences, Chengdu, Sichuan 611834, China

1 These authors contributed equally to this work.

Peer review under responsibility of Chinese Society of Horticultural Science (CSHS) and Institute of Vegetables and Flowers (IVF), Chinese Academy of Agricultural Sciences (CAAS).

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Abstract

Rhododendron is famous for its high ornamental value. However, the genus is taxonomically difficult and the relationships within Rhododendron remain unresolved. In addition, the origin of key morphological characters with high horticulture value need to be explored. Both problems largely hinder utilization of germplasm resources. Most studies attempted to disentangle the phylogeny of Rhododendron, but only used a few genomic markers and lacked large-scale sampling, resulting in low clade support and contradictory phylogenetic signals. Here, we used restriction-site associated DNA sequencing (RAD-seq) data and morphological traits for 144 species of Rhododendron, representing all subgenera and most sections and subsections of this species-rich genus, to decipher its intricate evolutionary history and reconstruct ancestral state. Our results revealed high resolutions at subgenera and section levels of Rhododendron based on RAD-seq data. Both optimal phylogenetic tree and split tree recovered five lineages among Rhododendron. Subg. Therorhodion (clade Ⅰ) formed the basal lineage. Subg. Tsutsusi and Azaleastrum formed clade Ⅱ and had sister relationships. Clade Ⅲ included all scaly rhododendron species. Subg. Pentanthera (clade Ⅳ) formed a sister group to Subg. Hymenanthes (clade Ⅴ). The results of ancestral state reconstruction showed that Rhododendron ancestor was a deciduous woody plant with terminal inflorescence, ten stamens, leaf blade without scales and broadly funnelform corolla with pink or purple color. This study shows significant distinguishability to resolve the evolutionary history of Rhododendron based on high clade support of phylogenetic tree constructed by RAD-seq data. It also provides an example to resolve discordant signals in phylogenetic trees and demonstrates the application feasibility of RAD-seq with large amounts of missing data in deciphering intricate evolutionary relationships. Additionally, the reconstructed ancestral state of six important characters provides insights into the innovation of key characters in Rhododendron.

Horticultural Plant Journal
Pages 866-878
Cite this article:
Shen Y, Yao G, Li Y, et al. RAD-seq data reveals robust phylogeny and morphological evolutionary history of Rhododendron. Horticultural Plant Journal, 2024, 10(3): 866-878. https://doi.org/10.1016/j.hpj.2022.11.010

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Received: 09 December 2022
Revised: 24 February 2023
Accepted: 08 April 2023
Published: 15 September 2023
© 2023 Chinese Society for Horticultural Science (CSHS) and Institute of Vegetables and Flowers (IVF), Chinese Academy of Agricultural Sciences (CAAS).

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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