State Key Laboratory of Plant Diversity and Specialty Crops / State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China; China National Botanical Garden, Beijing 100093, China; University of Chinese Academy of Sciences, Beijing 100049, China.
Meise Botanic Garden, Nieuwelaan 38, BE-1860 Meise, Belgium; Department of Biology, KU Leuven, Kasteelpark Arenberg 31, BE-3001 Leuven, Belgium.
Mol Phylogenet Evol. 2024 Jan;190:107956. doi: 10.1016/j.ympev.2023.107956. Epub 2023 Oct 26.
Phylogenomic conflicts are widespread among genomic data, with most previous studies primarily focusing on nuclear datasets instead of organellar genomes. In this study, we investigate phylogenetic conflict analyses within and between plastid and mitochondrial genomes using Potentilla as a case study. We generated three plastid datasets (coding, noncoding, and all-region) and one mitochondrial dataset (coding regions) to infer phylogenies based on concatenated and multispecies coalescent (MSC) methods. Conflict analyses were then performed using PhyParts and Quartet Sampling (QS). Both plastid and mitochondrial genomes divided the Potentilla into eight highly supported clades, two of which were newly identified in this study. While most organellar loci were uninformative for the majority of nodes (bootstrap value < 70%), PhyParts and QS detected conflicting signals within the two organellar genomes. Regression analyses revealed that conflict signals mainly occurred among shorter loci, whereas longer loci tended to be more concordant with the species tree. In addition, two significant disagreements between the two organellar genomes were detected, likely attributed to hybridization and/or incomplete lineage sorting. Our results demonstrate that mitochondrial genes can fully resolve the phylogenetic relationships among eight major clades of Potentilla and are not always linked with plastome in evolutionary history. Stochastic inferences appear to be the primary source of observed conflicts among the gene trees. We recommend that the loci with short sequence length or containing limited informative sites should be used cautiously in MSC analysis, and suggest the joint application of concatenated and MSC methods for phylogenetic inference using organellar genomes.
系统发育冲突在基因组数据中广泛存在,大多数先前的研究主要集中在核数据集上,而不是细胞器基因组。在这项研究中,我们以委陵菜属为例,研究了质体和线粒体基因组内部和之间的系统发育冲突分析。我们生成了三个质体数据集(编码区、非编码区和全区域)和一个线粒体数据集(编码区),基于联合和多物种合并(MSC)方法推断系统发育。然后使用 PhyParts 和四分体抽样(QS)进行冲突分析。质体和线粒体基因组都将委陵菜属分为 8 个高度支持的分支,其中两个是在本研究中新发现的。虽然大多数细胞器基因座对于大多数节点(自举值<70%)都没有信息,但 PhyParts 和 QS 在两个细胞器基因组内检测到了冲突信号。回归分析表明,冲突信号主要发生在较短的基因座之间,而较长的基因座往往与种系发生更一致。此外,还检测到两个细胞器基因组之间存在两个显著的分歧,可能归因于杂交和/或不完全谱系分选。我们的研究结果表明,线粒体基因可以完全解决委陵菜属的 8 个主要分支之间的系统发育关系,并且在进化历史上并不总是与质体基因组相关联。随机推断似乎是基因树中观察到的冲突的主要来源。我们建议在 MSC 分析中谨慎使用序列长度较短或包含有限信息位点的基因座,并建议联合应用联合和 MSC 方法来推断细胞器基因组的系统发育。