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1.
Appl Microbiol Biotechnol ; 106(19-20): 6799-6817, 2022 Oct.
Artículo en Inglés | MEDLINE | ID: mdl-36100751

RESUMEN

Musk deer are famous for their secretion of musk; however, the scale of artificial breeding of musk deer is limited. Considering the lack of a comprehensive understanding of the gut microbiota, there is a need to study the gut microbiota of Siberian musk deer (SMD). Quantitative PCR analysis and high-throughput sequencing were used to show the differences in gut microbial communities and functions between SMD and forest musk deer (FMD). The relative abundance of Firmicutes was significantly higher in SMD than in FMD, with a corresponding decrease in Bacteroidetes, and showed significant seasonal variation. The gut microbiome of FMD has enriched activity for carbohydrate metabolism, while in SMD, amino acids and energy metabolism was higher. The key enzymatic reactions were related to pyruvate metabolism in SMD; however, in FMD, enzymes that digest cellulose (EC:3.2.1.21, EC:3.2.1.4.) were more abundant, and these were related to the living environment and feeding habits. This indicates that FMD and SMD have significant differences in their microbial communities and functions. Furthermore, antibiotic resistances were identified and significantly different in gut microbes of SMD and FMD. For SMD, seasonal variations alter microbial communities and function. The key enzymes of the short-chain fatty acids (EC:1.3.1.44, EC:6.4.1.2) were significantly different, with higher relative abundance in winter-a mechanism of natural selection and environmental adaptation. This study is the first to analyze the composition of the gut microbiota of SMD and can be used to develop or modify conservation and husbandry strategies for musk deer, to improve their productivity. KEY POINTS: • Significant differences in microbial communities and their function between FMD and SMD. • The energy metabolism and the relative abundance of Firmicutes were significantly higher in SMD. • Seasonal variations alter microbial function in SMD, carbohydrate metabolism was higher in summer.


Asunto(s)
Ciervos , Microbioma Gastrointestinal , Aminoácidos , Animales , Antibacterianos , Celulosa , Bosques , Piruvatos
2.
BMC Genomics ; 21(1): 108, 2020 Jan 31.
Artículo en Inglés | MEDLINE | ID: mdl-32005147

RESUMEN

BACKGROUND: Siberian musk deer, one of the seven species, is distributed in coniferous forests of Asia. Worldwide, the population size of Siberian musk deer is threatened by severe illegal poaching for commercially valuable musk and meat, habitat losses, and forest fire. At present, this species is categorized as Vulnerable on the IUCN Red List. However, the genetic information of Siberian musk deer is largely unexplored. RESULTS: Here, we produced 3.10 Gb draft assembly of wild Siberian musk deer with a contig N50 of 29,145 bp and a scaffold N50 of 7,955,248 bp. We annotated 19,363 protein-coding genes and estimated 44.44% of the genome to be repetitive. Our phylogenetic analysis reveals that wild Siberian musk deer is closer to Bovidae than to Cervidae. Comparative analyses showed that the genetic features of Siberian musk deer adapted in cold and high-altitude environments. We sequenced two additional genomes of Siberian musk deer constructed demographic history indicated that changes in effective population size corresponded with recent glacial epochs. Finally, we identified several candidate genes that may play a role in the musk secretion based on transcriptome analysis. CONCLUSIONS: Here, we present a high-quality draft genome of wild Siberian musk deer, which will provide a valuable genetic resource for further investigations of this economically important musk deer.


Asunto(s)
Mapeo Contig/veterinaria , Ciervos/genética , Perfilación de la Expresión Génica/veterinaria , Secuenciación Completa del Genoma/veterinaria , Adaptación Biológica , Animales , Ciervos/clasificación , Evolución Molecular , Femenino , Tamaño del Genoma , Anotación de Secuencia Molecular , Filogenia , Densidad de Población , Análisis de Secuencia de ARN/veterinaria
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