Mitochondrial Genome Characteristics of Rhodobryum laxelimbatum and Comparative Analysis of RNA Editing and Codon Usage Bias With the Chloroplast Genome.

IF 2.6 2区 生物学 Q2 ECOLOGY
Ecology and Evolution Pub Date : 2026-10-14 eCollection Date: 2026-10-01 DOI:10.1002/ece3.74421
Jingyuan Niu, Shuo Shi, Shuangling Li, Jiancheng Zhao, Lin Li
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Abstract

Rhodobryum laxelimbatum is a traditional medicinal plant belonging to the genus Rhodobryum. To date, studies on this genus have focused primarily on its geographical distribution, chemical constituents, and biological activities, whereas genomic data within the genus are limited. The mitochondrial genome of R. laxelimbatum was sequenced, assembled, and annotated. Genomic structural features and simple sequence repeats (SSRs) were comprehensively characterized. Comparative analyses of RNA editing patterns and codon usage bias were performed using the mitochondrial and chloroplast genomes of R. laxelimbatum. The results revealed that the complete mitochondrial genome of R. laxelimbatum was 103,071 bp in length. It comprises 40 protein-coding genes (Nad7 is a pseudogene), 24 transfer RNA genes, and 3 ribosomal RNA genes. In total, 76 SSRs were detected. The mitochondrial and chloroplast genomes contained 189 and 608 RNA editing sites, respectively, with the conversion of hydrophilic amino acids to hydrophobic amino acids being dominant. Both organellar genomes exhibited the highest GC content at the first codon position. GC12 was significantly associated with GC3 only in chloroplasts with steeper regression trends. Mitochondrial genes exhibited greater variation in the effective number of codons (ENC), and most genes in both genomes clustered near the expected ENC curve. Parity Rule 2 plot revealed a distinct base-composition imbalance at synonymous third codon positions-mitochondria exhibited T3s > A3s with comparable G3s and C3s, whereas chloroplasts exhibited T3s > A3s and G3s > C3s. Five optimal codons were identified in the mitochondrial genome, predominantly ending in G/A/C, whereas nine were identified in the chloroplast genome, ending in A/U. Correspondence analysis demonstrated that codon usage bias was shaped by multiple interacting factors rather than a single determinant. This study provides crucial evidence for clarifying the evolutionary patterns of organelle genomes in Rhodobryum, and for understanding its genetic characteristics and molecular basis.

柔石杜鹃线粒体基因组特征及与叶绿体基因组RNA编辑和密码子使用偏向的比较分析。
红杜鹃花是一种传统药用植物,属红杜鹃花属。迄今为止,对该属的研究主要集中在其地理分布、化学成分和生物活性方面,而该属的基因组数据有限。对大鼠的线粒体基因组进行了测序、组装和注释。基因组结构特征和简单重复序列(SSRs)全面表征。利用线粒体基因组和叶绿体基因组进行了RNA编辑模式和密码子使用偏向性的比较分析。结果表明,大鼠线粒体基因组全长103071 bp。它由40个蛋白质编码基因(Nad7为假基因)、24个转移RNA基因和3个核糖体RNA基因组成。共检测到76例ssr。线粒体和叶绿体基因组分别含有189个和608个RNA编辑位点,亲水氨基酸向疏水氨基酸的转化占主导地位。两个细胞体基因组在第一个密码子位置的GC含量最高。GC12与GC3仅在叶绿体中显著相关,且回归趋势较陡。线粒体基因在有效密码子数(ENC)上表现出更大的差异,两个基因组中的大多数基因都聚集在预期的ENC曲线附近。奇偶性规则2图显示,在同义的第三密码子位置上存在明显的碱基组成不平衡——线粒体显示出具有类似G3s和C3s的T3s > A3s,而叶绿体则显示出T3s > A3s和G3s > C3s。在线粒体基因组中鉴定出5个最佳密码子,以G/A/C结尾,而在叶绿体基因组中鉴定出9个最佳密码子,以A/U结尾。对应分析表明,密码子使用偏向是由多个相互作用的因素而不是单一的决定因素形成的。本研究为阐明红杜鹃细胞器基因组的进化模式,了解其遗传特征和分子基础提供了重要依据。
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来源期刊
CiteScore
4.40
自引率
3.80%
发文量
1027
审稿时长
3-6 weeks
期刊介绍: Ecology and Evolution is the peer reviewed journal for rapid dissemination of research in all areas of ecology, evolution and conservation science. The journal gives priority to quality research reports, theoretical or empirical, that develop our understanding of organisms and their diversity, interactions between them, and the natural environment. Ecology and Evolution gives prompt and equal consideration to papers reporting theoretical, experimental, applied and descriptive work in terrestrial and aquatic environments. The journal will consider submissions across taxa in areas including but not limited to micro and macro ecological and evolutionary processes, characteristics of and interactions between individuals, populations, communities and the environment, physiological responses to environmental change, population genetics and phylogenetics, relatedness and kin selection, life histories, systematics and taxonomy, conservation genetics, extinction, speciation, adaption, behaviour, biodiversity, species abundance, macroecology, population and ecosystem dynamics, and conservation policy.
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