Complete Mitochondrial Genome and Phylogenetic Analysis of the Red Algae Chondracanthus tenellus (Rhodophyta, Gigartinales) from South Korea.

IF 2.1 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Maheshkumar Prakash Patil, Hee-Eun Woo, Young-Ryun Kim, Jong-Oh Kim, Kyunghoi Kim
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Abstract

Red algae are widely used as a source of health-promoting bioactive compounds and dietary fibers in health foods. The identification and classification of red algal species based on morphological and molecular characteristics is challenging because of the similarity of the thallus and its high degree of plasticity and because complete mitochondrial genomes have only been reported for a few species. In this study, the complete mitochondrial genome sequencing of the red macroalga Chondracanthus tenellus (Harvey) (Hommersand et al., Hydrobiologia 260:105-120, 1993)) (Rhodophyta, Gigartinales) was performed for the first time. Additionally, we aimed to reconstruct the phylogenetic relationships of the species within the order Gigartinales using complete mitochondrial genome sequences. Genomic DNA was extracted, analyzed by whole-genome sequencing (WGS), and assembled using NOVOPlasty. The mitochondrial genome sequence was annotated, and both a genome map and a phylogenetic tree were constructed using maximum likelihood analysis. The mitochondrial genome was 25,928 bp in length, had strongly biased [AT] content (72.08%), and comprised 3 rRNAs, 23 tRNAs, and 24 protein-coding genes (PCGs). In comparison with the mitochondrial genome of other red algae, that of C. tenellus lacks rpl5 and rpl20. Based on a phylogenetic study of the complete mitochondrial genome, C. tenellus belongs to the family Gigartinaceae and is monophyletic with other species of the order Gigartinales. This is the first report of C. tenellus complete mitochondrial genome; its characteristics are consistent with those of other red algae. The study of genomic data will be beneficial for future comparative genomics, phylogenetics, and evolutionary studies.

韩国红藻Chondracanthus tenellus(红藻目,Gigartinales)线粒体全基因组及系统发育分析。
红藻被广泛用作保健食品中促进健康的生物活性化合物和膳食纤维的来源。基于形态和分子特征的红藻物种鉴定和分类是具有挑战性的,因为其菌体的相似性和高度的可塑性,因为完整的线粒体基因组只报道了少数物种。本研究首次对红色巨藻Chondracanthus tenellus (Harvey) (Hommersand et al., Hydrobiologia 260:105- 120,1993) (Rhodophyta, Gigartinales)进行了线粒体全基因组测序。此外,我们旨在利用完整的线粒体基因组序列重建Gigartinales目物种的系统发育关系。提取基因组DNA,通过全基因组测序(WGS)分析,并使用NOVOPlasty进行组装。对线粒体基因组序列进行了注释,并利用最大似然分析构建了基因组图谱和系统发育树。线粒体基因组长度为25,928 bp,具有强烈偏倚[AT]含量(72.08%),由3个rrna, 23个trna和24个蛋白质编码基因(PCGs)组成。与其他红藻相比,细藻线粒体基因组缺乏rpl5和rpl20。基于线粒体全基因组的系统发育研究,C. tenellus属于Gigartinaceae,与Gigartinales的其他物种是单系的。这是首次报道的线虫线粒体全基因组;其特征与其他红藻一致。基因组数据的研究将有利于未来的比较基因组学、系统发育学和进化研究。
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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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