Characterization of the complete mitogenome data of collared peccary, Dicotyles tajacu (Linnaeus, 1758) (Suina: Tayassuidae) from Ucayali, Peru

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

Abstract

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 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.