Yu Zhang , Xin Heng , Fengping Li , Chunsheng Liu , Qi Li , Aimin Wang , Yi Yang
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引用次数: 0
Abstract
The infraclass Pteriomorphia within the phylum Mollusca, class Bivalvia, encompasses a diverse group of bivalve mollusks characterized by their unique morphological and ecological traits. However, the molecular data of Pteriomorphia remains limited, constraining classification and phylogenetic analysis within the infraclass Pteriomorphia. In this study, we sequenced the mitogenomes of 15 pteriomorphians using high-throughput sequencing technology and conducted comparative genomic analysis with 58 sequences available on GenBank. The newly sequenced mitogenomes all exhibited a circular double-stranded structure, ranging in size from 12,844 to 28,105 bp. Mitogenome features, including nucleotide composition, codon usage, and amino acid content, exhibited significant deviations. The mitochondrial gene orders (MGOs) in pteriomorphians also exhibited significant diversity, with 44 distinct patterns identified (excluding the tRNA gene). The gene rearrangement analysis inferred that the ancestral MGO evolution pathway supported the hypothesis that the common ancestor MGO of Mytilida is the closest to that of the entire infraclass Pteriomorphia. The reconstructed phylogeny also indicated the order Mytilida as the basal group of Pteriomorphia. Furthermore, the analysis revealed that Ostreida and Pectinida were sister taxa, while Ostreoidea and the Pinnoidea were sister taxa within Ostreida. Gene rearrangement analysis further suggested that the MGOs of Arcida and Pectinida likely evolved from the ancestral MGO of Ostreida. Our study provided new insights into the phylogenetic relationships and evolution of gene rearrangements within the subclass Pteriomorphia.
期刊介绍:
Comparative Biochemistry & Physiology (CBP) publishes papers in comparative, environmental and evolutionary physiology.
Part D: Genomics and Proteomics (CBPD), focuses on “omics” approaches to physiology, including comparative and functional genomics, metagenomics, transcriptomics, proteomics, metabolomics, and lipidomics. Most studies employ “omics” and/or system biology to test specific hypotheses about molecular and biochemical mechanisms underlying physiological responses to the environment. We encourage papers that address fundamental questions in comparative physiology and biochemistry rather than studies with a focus that is purely technical, methodological or descriptive in nature.