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Molecular evolution and SSRs analysis based on the chloroplast genome of Callitropsis funebris.

Authors :
Ping, Jingyao
Feng, Peipei
Li, Jinye
Zhang, Rongjing
Su, Yingjuan
Wang, Ting
Source :
Ecology & Evolution (20457758). May2021, Vol. 11 Issue 9, p4786-4802. 17p.
Publication Year :
2021

Abstract

Chloroplast genome sequences have been used to understand evolutionary events and to infer efficiently phylogenetic relationships. Callitropsis funebris (Cupressaceae) is an endemic species in China. Its phylogenetic position is controversial due to morphological characters similar to those of Cupressus, Callitropsis, and Chamaecyparis. This study used next‐generation sequencing technology to sequence the complete chloroplast genome of Ca. funebris and then constructed the phylogenetic relationship between Ca. funebris and its related species based on a variety of data sets and methods. Simple sequence repeats (SSRs) and adaptive evolution analysis were also conducted. Our results showed that the monophyletic branch consisting of Ca. funebris and Cupressus tonkinensis is a sister to Cupressus, while Callitropsis is not monophyletic; Ca. nootkatensis and Ca. vietnamensis are nested in turn at the base of the monophyletic group Hesperocyparis. The statistical results of SSRs supported the closest relationship between Ca. funebris and Cupressus. By performing adaptive evolution analysis under the phylogenetic background of Cupressales, the Branch model detected three genes and the Site model detected 10 genes under positive selection; and the Branch‐Site model uncovered that rpoA has experienced positive selection in the Ca. funebries branch. Molecular analysis from the chloroplast genome highly supported that Ca. funebris is at the base of Cupressus. Of note, SSR features were found to be able to shed some light on phylogenetic relationships. In short, this chloroplast genomic study has provided new insights into the phylogeny of Ca. funebris and revealed multiple chloroplast genes possibly undergoing adaptive evolution. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20457758
Volume :
11
Issue :
9
Database :
Academic Search Index
Journal :
Ecology & Evolution (20457758)
Publication Type :
Academic Journal
Accession number :
150131349
Full Text :
https://doi.org/10.1002/ece3.7381