Chloroplast Genome of Arisaema takesimense: Comparative Genomics and Phylogenetic Insights into the Arisaema.

IF 1.6 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Biochemical Genetics Pub Date : 2026-02-01 Epub Date: 2025-03-17 DOI:10.1007/s10528-025-11082-7
Asif S Tamboli, Jin-Suk Youn, Suhas K Kadam, Jae Hong Pak, Yeon-Sik Choo
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Abstract

Arisaema takesimense (Araceae) is a unique species found exclusively in Ulleung Island of Korea. This study presents the complete chloroplast (cp.) genome of A. takesimense, which comprises 174, 361 base pairs and exhibits a typical tetrad structure. The genome encodes 112 unique genes, including 78 protein-coding genes (CDS), 30 tRNA genes, and 4 rRNA genes. In this study, a total of 49 long repeats and 139 simple sequence repeats (SSRs) were identified, predominantly located in intergenic spacer regions (IGS). Additionally, several hotspot regions, including trnS-G, accD-psaI, ndhF and rps15-ycf1, were identified, which are commonly shared among Araceae species. The analysis of these repeats revealed species-specific SSR types and hotspot regions that can be utilized for population genetic studies and species identification. A comparative genomic analysis of eleven Arisaema taxa revealed that the large single copy region (LSC) exhibits the most variability, with non-coding genes displaying more variation than coding genes. The borders between the LSC-IR-SSC regions in Arisaema taxa were generally well-preserved, and there were notable exceptions in the positions of LSC/IRa, LSC/IRb and SSC/IRb junctions for A. takesimense, A. ringens, and A. nepenthoides. A phylogenetic analysis based on the cp. genome revealed a close relationship between A. takesimense and A. bockii. The outcomes of this study substantially increase the genomic resources available for Araceae, serving as a valuable resource for species identification and evaluating intraspecific diversity within the Arisaema genus.

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鸢尾叶绿体基因组巨大:鸢尾的比较基因组学和系统发育研究。
天南星(arisema takesimense)是韩国郁陵岛特有的一种植物。本研究获得了竹属植物(a . takesimense)的叶绿体全基因组,包含174,361个碱基对,具有典型的四分体结构。基因组编码112个独特的基因,包括78个蛋白质编码基因(CDS)、30个tRNA基因和4个rRNA基因。本研究共鉴定出49个长重复序列(long repeats)和139个简单序列重复序列(simple sequence repeats, SSRs),主要位于基因间隔区(IGS)。此外,还发现了天南星科物种共有的trnS-G、accD-psaI、ndhF和rps15-ycf1等热点区域。这些重复序列的分析揭示了物种特异性的SSR类型和热点区域,可用于群体遗传研究和物种鉴定。对11个天南星类群的比较基因组分析表明,大单拷贝区(large single copy region, LSC)变异最大,非编码基因比编码基因变异更大。柽柳类群LSC- ir -SSC区域间的边界基本保持完好,但A. takesimense、A. ringens和A. nepenthoides的LSC/IRa、LSC/IRb和SSC/IRb连接位置存在明显的例外。基于cp.基因组的系统发育分析表明,A. takesimense与A. bockii亲缘关系密切。本研究的结果大大增加了天南星科植物的基因组资源,为天南星属植物的物种鉴定和种内多样性评估提供了宝贵的资源。
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来源期刊
Biochemical Genetics
Biochemical Genetics 生物-生化与分子生物学
CiteScore
3.90
自引率
0.00%
发文量
133
审稿时长
4.8 months
期刊介绍: Biochemical Genetics welcomes original manuscripts that address and test clear scientific hypotheses, are directed to a broad scientific audience, and clearly contribute to the advancement of the field through the use of sound sampling or experimental design, reliable analytical methodologies and robust statistical analyses. Although studies focusing on particular regions and target organisms are welcome, it is not the journal’s goal to publish essentially descriptive studies that provide results with narrow applicability, or are based on very small samples or pseudoreplication. Rather, Biochemical Genetics welcomes review articles that go beyond summarizing previous publications and create added value through the systematic analysis and critique of the current state of knowledge or by conducting meta-analyses. Methodological articles are also within the scope of Biological Genetics, particularly when new laboratory techniques or computational approaches are fully described and thoroughly compared with the existing benchmark methods. Biochemical Genetics welcomes articles on the following topics: Genomics; Proteomics; Population genetics; Phylogenetics; Metagenomics; Microbial genetics; Genetics and evolution of wild and cultivated plants; Animal genetics and evolution; Human genetics and evolution; Genetic disorders; Genetic markers of diseases; Gene technology and therapy; Experimental and analytical methods; Statistical and computational methods.
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