Codon usage patterns and genomic variation analysis of chloroplast genomes provides new insights into the evolution of Aroideae.

IF 3.9 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Xinbi Jia, Jiaqi Wei, Yuewen Chen, Chenghong Zeng, Chan Deng, Pengchen Zeng, Yufei Tang, Qinghong Zhou, Yingjin Huang, Qianglong Zhu
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Abstract

Aroideae is an important subfamily of the Araceae family and contains many plants with medicinal and edible value. It is difficult to identify and classify Aroideae species accurately on the basis of morphology alone because of their polymorphic phenotypic traits. The chloroplast genome (CPG) is useful for studying on plant taxonomy and phylogeny, and the analysis of codon usage bias (CUB) in CPGs provides further insights into the intricate phylogenetic relationships among Aroideae. The results showed that the codon third position of the chloroplast genome coding sequence in Aroideae was rich in A and T, with a GC content of 37.91%. The ENC-plot and PR2-plot revealed that the codon usage bias of Aroideae was influenced by multiple factors, with natural selection as the dominant factor. Thirteen to twenty optimal codons ending in A/T were identified in 61 Aroideae species. Additionally, the comparative analysis of CPGs revealed that two single copy regions and non-coding regions were variable in Aroideae. Eight highly divergent regions (Pi > 0.064) were identified (ndhF, rpl32, ccsA, ndhE, ndhG, ndhF-rpl32, ccsA-ndhD, and ndhE-ndhG) , in which ndhE have the potential to serve as a reliable DNA marker to discriminate chloroplasts in Aroideae subfamily. Furthermore, the maximum likelihood-based phylogenetic trees constructed from complete chloroplast genomes and protein-coding sequences presented similar topologies. Principal component clustering analysis based on relative synonymous codon usage values (RSCUs) revealed that Calla was clearly deviated from Montrichardia and Anubias, and that Alocasia was closer to Colocasieae than to Arisaemateae. These findings suggest that the use of RSCU for clustering analysis could offer new theoretical support for species classification and evolution. Our research could provide a theoretical foundation for the chloroplast genetic engineering, taxonomy, and phylogenetic relationships of Aroideae chloroplasts.

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叶绿体基因组的密码子使用模式和基因组变异分析为避免亚科的进化提供了新的见解。
天南星科是天南星科的一个重要亚科,含有许多具有药用和食用价值的植物。由于其多态表型特征,仅凭形态学难以准确地对其进行鉴定和分类。叶绿体基因组(CPG)在植物分类和系统发育研究中具有重要意义,而CPG密码子使用偏差(CUB)的分析有助于进一步了解亚科植物之间复杂的系统发育关系。结果表明,黄花蒿叶绿体基因组编码序列密码子第3位富含A和T, GC含量为37.91%。enc -图和pr2 -图显示,避蚊科的密码子使用偏向受多种因素的影响,自然选择是主要因素。61种避蚊科共鉴定出13 ~ 20个以A/T结尾的最佳密码子。此外,CPGs的比较分析表明,在避免的两个单拷贝区和非编码区是可变的。鉴定出8个高度分化的区域(ndhF、rpl32、ccsA、ndhE、ndhG、ndhF-rpl32、ccsA- ndhd和ndhE-ndhG),其中ndhE有可能作为鉴别黄龙亚科叶绿体的可靠DNA标记。此外,由完整叶绿体基因组和蛋白质编码序列构建的基于最大似然的系统发育树具有相似的拓扑结构。基于相对同义密码子使用值(RSCUs)的主成分聚类分析表明,Calla与Montrichardia和Anubias有明显的差异,Alocasia与Colocasieae的关系比与Arisaemateae的关系更接近。这些结果表明,利用RSCU进行聚类分析可以为物种分类和进化提供新的理论支持。本研究可为齿形亚目叶绿体的遗传工程、分类和系统发育关系提供理论依据。
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来源期刊
Scientific Reports
Scientific Reports Natural Science Disciplines-
CiteScore
7.50
自引率
4.30%
发文量
19567
审稿时长
3.9 months
期刊介绍: We publish original research from all areas of the natural sciences, psychology, medicine and engineering. You can learn more about what we publish by browsing our specific scientific subject areas below or explore Scientific Reports by browsing all articles and collections. Scientific Reports has a 2-year impact factor: 4.380 (2021), and is the 6th most-cited journal in the world, with more than 540,000 citations in 2020 (Clarivate Analytics, 2021). •Engineering Engineering covers all aspects of engineering, technology, and applied science. It plays a crucial role in the development of technologies to address some of the world''s biggest challenges, helping to save lives and improve the way we live. •Physical sciences Physical sciences are those academic disciplines that aim to uncover the underlying laws of nature — often written in the language of mathematics. It is a collective term for areas of study including astronomy, chemistry, materials science and physics. •Earth and environmental sciences Earth and environmental sciences cover all aspects of Earth and planetary science and broadly encompass solid Earth processes, surface and atmospheric dynamics, Earth system history, climate and climate change, marine and freshwater systems, and ecology. It also considers the interactions between humans and these systems. •Biological sciences Biological sciences encompass all the divisions of natural sciences examining various aspects of vital processes. The concept includes anatomy, physiology, cell biology, biochemistry and biophysics, and covers all organisms from microorganisms, animals to plants. •Health sciences The health sciences study health, disease and healthcare. This field of study aims to develop knowledge, interventions and technology for use in healthcare to improve the treatment of patients.
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