The complete mitogenome dataset of the heptageniid mayfly Afronurus levis (Ephemeroptera: Heptageniidae: Ecdyonurinae) from South Korea.

IF 1 Q3 MULTIDISCIPLINARY SCIENCES Data in Brief Pub Date : 2024-11-13 eCollection Date: 2024-12-01 DOI:10.1016/j.dib.2024.111137
Seong Duk Do, Dae-Yeul Bae, Jae-Hun Kim, Jae-Sung Rhee
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Abstract

The Heptageniidae family stands out as one of the most abundant and widespread among mayflies, distinguished by its unique mitochondrial characteristics in intergenic spacers and duplication of transfer RNA (tRNA) genes. In this dataset, we present the complete mitochondrial genome sequence of Afronurus levis (Navás, 1912), a member of the Heptageniidae family of mayflies. The total length of the A. levis mitogenome was determined to be 15,362 base pairs, encompassing 13 protein-coding genes (PCGs), 23 tRNA genes, and two ribosomal RNA genes. An additional trnM gene was detected in the A. levis genome, consistent with observations in other Heptageniid species. The base composition of the A. levis mitogenome was determined to be 31.7 % A, 32.7 % T, 14.1% G, and 21.5 % C. Phylogenetic analysis using PCGs confirmed that the newly sequenced A. levis mitogenome clusters within the genus Afronurus, showing closer proximity to that of A. drepanophyllus.

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韩国七喙蜉蝣 Afronurus levis(蜉蝣目:七喙蜉蝣科:Ecdyonurinae)的完整有丝分裂基因组数据集。
七元蝇科(Heptageniidae)是种类最丰富、分布最广的蜉蝣科之一,其独特的线粒体基因间隔和tRNA基因复制特征使其与众不同。在这个数据集中,我们展示了Afronurus levis (Navás, 1912)的完整线粒体基因组序列,这是蜉蝣七氏蝇科的一员。结果表明,拟南麻有丝分裂基因组全长15362个碱基对,包括13个蛋白质编码基因(PCGs)、23个tRNA基因和2个核糖体RNA基因。在A. levis基因组中检测到一个额外的trnM基因,与其他Heptageniid物种的观察结果一致。结果表明,新测序的李氏裂丝基因组碱基组成分别为31.7% A、32.7% T、14.1% G和21.5% c。系统发育分析表明,新测序的李氏裂丝基因组属于Afronurus属,与A. drepanophyllus更接近。
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来源期刊
Data in Brief
Data in Brief MULTIDISCIPLINARY SCIENCES-
CiteScore
3.10
自引率
0.00%
发文量
996
审稿时长
70 days
期刊介绍: Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.
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