The Complete Mitochondrial Genome of Nephropsis grandis: Insights into the Phylogeny of Nephropidae Mitochondrial Genome.

IF 2.1 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Xinjie Liang, Yuman Sun, Jian Chen, Jiji Li, Yingying Ye
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引用次数: 0

Abstract

The systematic phylogeny of Pleocyemata species, particularly within the family Nephropidae, remains incomplete. In order to enhance the taxonomy and systematics of Nephropidae within the evolutionary context of Pleocyemata, we embarked upon a comprehensive study aiming to elucidate the phylogenetic position of Nephropsis grandis. Consequently, we determined the complete mitochondrial DNA sequence for N. grandis. The circular genome spans a length of 15,344 bp and exhibits a gene composition analogous to that observed in other metazoans, encompassing a comprehensive set of 37 genes. Additionally, the genome features an AT-rich region. The rRNAs exhibited the highest AT content among the 37 genes (70.41%), followed by tRNAs (67.42%) and protein-coding genes (PCGs) (62.76%). The absence of a dihydrouracil arm in trnS1 prevented the formation of the canonical cloverleaf secondary structure. Selective pressure analysis indicated that the PCGs underwent purifying selection. The Ka/Ks ratios for cox1, cox2, cox3, and cob were considerably lower compared to other PCGs, implying strong purifying selection acting upon these particular genes. The mitochondrial gene order in N. grandis was consistent with the reported order in ancestral Pleocyemata. Phylogenetic revealed that N. grandis forms a cluster with the genus Metanephrops, and this cluster further groups with Homarus and the genus Nephrops within the Nephropidae family. These findings provide robust support for N. grandis as an ancestral member of the Nephropidae family. This study highlights the significance of employing complete mitochondrial genomes in phylogenetic analysis and deepens our understanding of the evolution of the Nephropidae family.

鹅掌楸线粒体基因组全图:鹅掌楸科线粒体基因组系统发育的启示。
褶皱目物种的系统发育,尤其是尼泊尔蛙科(Nephropidae)内的系统发育,仍然不完整。为了在褶皱鱼类的进化背景下加强尼泊尔蛙科的分类学和系统学研究,我们开始了一项全面的研究,旨在阐明大尼泊尔蛙的系统发育位置。因此,我们测定了N. grandis的完整线粒体DNA序列。该环状基因组的长度为 15,344 bp,其基因组成类似于在其他后生动物中观察到的基因组成,包含 37 个基因。此外,该基因组还有一个富含 AT 的区域。在 37 个基因中,rRNA 的 AT 含量最高(70.41%),其次是 tRNA(67.42%)和蛋白质编码基因(62.76%)。由于 trnS1 中缺少二氢尿嘧啶臂,因此无法形成典型的苜蓿叶二级结构。选择压力分析表明 PCGs 经历了纯化选择。与其他 PCGs 相比,cox1、cox2、cox3 和 cob 的 Ka/Ks 比值要低得多,这意味着这些特定基因受到了强烈的纯化选择作用。N.grandis的线粒体基因顺序与所报道的祖先Pleocyemata的顺序一致。系统发育显示,N. grandis 与 Metanephrops 属形成一个群集,该群集又与 Nephropidae 科中的 Homarus 和 Nephrops 属形成群集。这些发现有力地支持了 N. grandis 是 Nephropidae 科的祖先成员。这项研究强调了在系统发育分析中采用完整线粒体基因组的重要性,并加深了我们对肾蛙科演化的了解。
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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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