Guo Cen, Luo Yang, Gao Lian-Ming, Yi Ting-Shuang, Li Hong-Tao, Yang Jun-Bo, Li De-Zhu
Germplasm Bank of Wild Species, Kunming Institute of Botany, the Chinese Academy of Sciences, Kunming, 650201, China.
CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, the Chinese Academy of Sciences, Kunming, 650201, China.
J Integr Plant Biol. 2023 Feb;65(2):299-323. doi: 10.1111/jipb.13415. Epub 2022 Dec 31.
The advances accelerated by next-generation sequencing and long-read sequencing technologies continue to provide an impetus for plant phylogenetic study. In the past decade, a large number of phylogenetic studies adopting hundreds to thousands of genes across a wealth of clades have emerged and ushered plant phylogenetics and evolution into a new era. In the meantime, a roadmap for researchers when making decisions across different approaches for their phylogenomic research design is imminent. This review focuses on the utility of genomic data (from organelle genomes, to both reduced representation sequencing and whole-genome sequencing) in phylogenetic and evolutionary investigations, describes the baseline methodology of experimental and analytical procedures, and summarizes recent progress in flowering plant phylogenomics at the ordinal, familial, tribal, and lower levels. We also discuss the challenges, such as the adverse impact on orthology inference and phylogenetic reconstruction raised from systematic errors, and underlying biological factors, such as whole-genome duplication, hybridization/introgression, and incomplete lineage sorting, together suggesting that a bifurcating tree may not be the best model for the tree of life. Finally, we discuss promising avenues for future plant phylogenomic studies.
下一代测序和长读长测序技术所推动的进展持续为植物系统发育研究提供动力。在过去十年中,出现了大量在众多分支中采用数百到数千个基因的系统发育研究,将植物系统发育学和进化带入了一个新时代。与此同时,为研究人员在其系统基因组学研究设计中跨不同方法做出决策提供路线图迫在眉睫。本综述聚焦于基因组数据(从细胞器基因组到简化代表性测序和全基因组测序)在系统发育和进化研究中的效用,描述实验和分析程序的基线方法,并总结开花植物系统基因组学在目、科、族及更低分类水平上的最新进展。我们还讨论了一些挑战,例如系统误差对直系同源推断和系统发育重建产生的不利影响,以及潜在的生物学因素,如全基因组复制、杂交/基因渗入和不完全谱系分选,共同表明二叉树可能不是生命之树的最佳模型。最后,我们讨论了未来植物系统基因组学研究的有前景的途径。