Literature DB >> 34256691

Genome sequence of Apostasia ramifera provides insights into the adaptive evolution in orchids.

Weixiong Zhang1, Guoqiang Zhang2,3,4, Peng Zeng1, Yongqiang Zhang2,3,4,5, Hao Hu1, Zhongjian Liu5, Jing Cai6.   

Abstract

BACKGROUND: The Orchidaceae family is one of the most diverse among flowering plants and serves as an important research model for plant evolution, especially "evo-devo" study on floral organs. Recently, sequencing of several orchid genomes has greatly improved our understanding of the genetic basis of orchid biology. To date, however, most sequenced genomes are from the Epidendroideae subfamily. To better elucidate orchid evolution, greater attention should be paid to other orchid lineages, especially basal lineages such as Apostasioideae.
RESULTS: Here, we present a genome sequence of Apostasia ramifera, a terrestrial orchid species from the Apostasioideae subfamily. The genomes of A. ramifera and other orchids were compared to explore the genetic basis underlying orchid species richness. Genome-based population dynamics revealed a continuous decrease in population size over the last 100 000 years in all studied orchids, although the epiphytic orchids generally showed larger effective population size than the terrestrial orchids over most of that period. We also found more genes of the terpene synthase gene family, resistant gene family, and LOX1/LOX5 homologs in the epiphytic orchids.
CONCLUSIONS: This study provides new insights into the adaptive evolution of orchids. The A. ramifera genome sequence reported here should be a helpful resource for future research on orchid biology.
© 2021. The Author(s).

Entities:  

Keywords:  Adaptive evolution; Apostasia ramifera; Comparative genomics; Orchidaceae

Year:  2021        PMID: 34256691     DOI: 10.1186/s12864-021-07852-3

Source DB:  PubMed          Journal:  BMC Genomics        ISSN: 1471-2164            Impact factor:   3.969


  45 in total

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10.  The Apostasia genome and the evolution of orchids.

Authors:  Guo-Qiang Zhang; Ke-Wei Liu; Zhen Li; Rolf Lohaus; Yu-Yun Hsiao; Shan-Ce Niu; Jie-Yu Wang; Yao-Cheng Lin; Qing Xu; Li-Jun Chen; Kouki Yoshida; Sumire Fujiwara; Zhi-Wen Wang; Yong-Qiang Zhang; Nobutaka Mitsuda; Meina Wang; Guo-Hui Liu; Lorenzo Pecoraro; Hui-Xia Huang; Xin-Ju Xiao; Min Lin; Xin-Yi Wu; Wan-Lin Wu; You-Yi Chen; Song-Bin Chang; Shingo Sakamoto; Masaru Ohme-Takagi; Masafumi Yagi; Si-Jin Zeng; Ching-Yu Shen; Chuan-Ming Yeh; Yi-Bo Luo; Wen-Chieh Tsai; Yves Van de Peer; Zhong-Jian Liu
Journal:  Nature       Date:  2017-09-13       Impact factor: 49.962

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