» Articles » PMID: 35809200

Plastome Evolution of Aeonium and Monanthes (Crassulaceae): Insights into the Variation of Plastomic TRNAs, and the Patterns of Codon Usage and Aversion

Overview
Journal Planta
Specialty Biology
Date 2022 Jul 9
PMID 35809200
Authors
Affiliations
Soon will be listed here.
Abstract

This study reported 13 new plastomes from Aeonium and Monanthes, and observed new markers for phylogeny and DNA barcoding, such as novel tRNA structures and codon usage bias and aversion. The Macaronesian clade of Crassulaceae consists of three genera: Aichryson, with about 15 species; Monanthes, with about 10 species; Aeonium, with about 40 species. Within this clade, Aeonium, known as "the botanical equivalent of Darwin's finches", is regarded as an excellent model plant for researching adaptive evolution. Differing from the well-resolved relationships among three genera of the Macaronesian clade, the internal branching patterns within the genus Aeonium are largely unclear. In this study, we first reported 13 new plastomes from genus Aeonium and the closely related genus Monanthes. We further performed comprehensive analyses of the plastomes, with focuses on the secondary structures of pttRNAs and the patterns of codon usage and aversion. With a typical circular and quadripartite structure, the 13 plastomes ranged from 149,900 to 151,030 bp in size, and the unique pattern in IR junctions might become a family-specific marker for Crassulaceae species. Surprisingly, the π values of plastomes from Monanthes were almost twice those from Aeonium. Most importantly, we strongly recommend that highly polymorphic regions, novel putative pttRNA structures, patterns of codon usage bias and aversion derived from plastomes might have phylogenetic implications, and could act as new markers for DNA barcoding of plants. The results of phylogenetic analyses strongly supported a clear internal branching pattern in Macaronesian clade (represented by Aeonium and Monanthes), with higher nodal support values. The findings reported here will provide new insights into the variation of pttRNAs, and the patterns of codon usage and aversion of the family Crassulaceae.

Citing Articles

Complete Chloroplast Genome of : Comparative Genomic Analysis and Phylogenetic Relationships.

Park K, Son O Genes (Basel). 2024; 15(11).

PMID: 39596600 PMC: 11594095. DOI: 10.3390/genes15111399.


Sturnidae Mitogenomics: Novel Insights into Codon Aversion, Selection, and Phylogeny.

Han S, Ding H, Peng H, Dai C, Zhang S, Yang J Animals (Basel). 2024; 14(19).

PMID: 39409726 PMC: 11475038. DOI: 10.3390/ani14192777.


Intraspecific and Intrageneric Genomic Variation across Three Species (Crassulaceae): A Plastomic Perspective.

Zhang S, Han S, Bi D, Yang J, Ge W, Ye Y Genes (Basel). 2024; 15(4).

PMID: 38674379 PMC: 11049395. DOI: 10.3390/genes15040444.


Exploring Plastomic Resources in (Crassulaceae): Implications for Phylogenetics.

Kan J, Zhang S, Wu Z, Bi D Genes (Basel). 2024; 15(4).

PMID: 38674377 PMC: 11049882. DOI: 10.3390/genes15040441.


Phylogenomics and plastomics offer new evolutionary perspectives on Kalanchoideae (Crassulaceae).

Han S, Zhang S, Yi R, Bi D, Ding H, Yang J Ann Bot. 2024; 133(4):585-604.

PMID: 38359907 PMC: 11037489. DOI: 10.1093/aob/mcae017.


References
1.
Abdullah , Mehmood F, Shahzadi I, Waseem S, Mirza B, Ahmed I . Chloroplast genome of Hibiscus rosa-sinensis (Malvaceae): Comparative analyses and identification of mutational hotspots. Genomics. 2019; 112(1):581-591. DOI: 10.1016/j.ygeno.2019.04.010. View

2.
Amiryousefi A, Hyvonen J, Poczai P . IRscope: an online program to visualize the junction sites of chloroplast genomes. Bioinformatics. 2018; 34(17):3030-3031. DOI: 10.1093/bioinformatics/bty220. View

3.
Berry J, Yerramsetty P, Zielinski A, Mure C . Photosynthetic gene expression in higher plants. Photosynth Res. 2013; 117(1-3):91-120. DOI: 10.1007/s11120-013-9880-8. View

4.
Bi Y, Zhang M, Xue J, Dong R, Du Y, Zhang X . Chloroplast genomic resources for phylogeny and DNA barcoding: a case study on Fritillaria. Sci Rep. 2018; 8(1):1184. PMC: 5775360. DOI: 10.1038/s41598-018-19591-9. View

5.
Bouckaert R, Heled J, Kuhnert D, Vaughan T, Wu C, Xie D . BEAST 2: a software platform for Bayesian evolutionary analysis. PLoS Comput Biol. 2014; 10(4):e1003537. PMC: 3985171. DOI: 10.1371/journal.pcbi.1003537. View