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.
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.
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