秘鲁乌卡亚利地区双子叶桃树(Linnaeus, 1758)(苏亚纳:桃科)有丝分裂全基因组数据的分析

IF 1 Q3 MULTIDISCIPLINARY SCIENCES Data in Brief Pub Date : 2024-12-01 DOI:10.1016/j.dib.2024.111142
Julio César Chávez-Galarza , Victor Manuel Arévalo-Rojas , Gladys Luz Garay Livia , Rubén Dario Ferro-Mauricio , Daniel Vecco , Agustin Cerna-Mendoza , Aldi Alida Guerra-Teixeira , Dora Henriques , Fredy Fabian Domínguez , Wilder Macedo-Córdova , Miguel Alexis Llanto-López
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引用次数: 0

摘要

有领山核桃(Dicotyles tajacu Linnaeus, 1758)是亚马逊居民生存和经济的重要资源。尽管它很重要,但秘鲁有领美洲狮种群的遗传信息明显缺乏。本研究报道了来自秘鲁的D. tajacu的完整有丝分裂基因组,通过Illumina测序获得。线粒体基因组全长16836 bp,核苷酸组成为34.2% a、25.5% T、13.5% G和26.8% C, GC含量为40.3%。基因组包括13个蛋白质编码基因、22个tRNA基因、2个rRNA基因和1个控制区。蛋白质编码基因的系统发育分析表明,秘鲁的D. tajacu与玻利维亚的D. tajacu在狐蝠科中亲缘关系最近。秘鲁D. tajacu有丝分裂基因组的注释为该物种的进化研究提供了有价值的基因组数据,并将为该物种的保护和管理策略提供依据。
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Characterization of the complete mitogenome data of collared peccary, Dicotyles tajacu (Linnaeus, 1758) (Suina: Tayassuidae) from Ucayali, Peru
The collared peccary (Dicotyles tajacu Linnaeus, 1758) is a vital resource for the subsistence and economy of the Amazonian inhabitants. Despite its importance, there is a notable lack of genetic information on Peruvian collared peccary populations. This study presents the complete mitogenome of D. tajacu from Peru, obtained by Illumina sequencing. The mitochondrial genome spans 16,836 bp and has a nucleotide composition of 34.2 % A, 25.5 % T, 13.5 % G, and 26.8 % C, with a GC content of 40.3 %. The genome includes 13 protein-coding genes, 22 tRNA genes, two rRNA genes, and one control region. Phylogenetic analysis of protein-coding genes indicates that Peruvian D. tajacu is most closely related to Bolivian D. tajacu within the family Tayassuidae. The annotated mitogenome of Peruvian D. tajacu provides valuable genomic data for evolutionary research and will serve in conservation and management strategies for the species.
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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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