Harnessing the strategy of metagenomics for exploring the intestinal microecology of sable (Martes zibellina), the national first-level protected animal

Autor: Xiaoyang Wu, Honghai Zhang, Jun Chen, Jiakuo Yan, Yao Chen
Rok vydání: 2020
Předmět:
Zdroj: AMB Express, Vol 10, Iss 1, Pp 1-16 (2020)
AMB Express
ISSN: 2191-0855
DOI: 10.1186/s13568-020-01103-6
Popis: Sable (Martes zibellina), belongs to Carnivora, Mustelidae and Maretes, was mainly distributed among the cold northern zone of Eurasia. The purpose of this study is to explore the intestinal flora of the sable by the method of the metagenomic library-based technique, libraries were sequenced on an Illumina HiSeq 4000 instrument. Effective Data volume of each sample is above 6000M, the ratio of the Effective Data (the Clean Data) to original Data (Raw Data) is over 98%. According to the analysis of statistical data, the Total length of ORF is about 603,031, which is 347.36 Mbp. We contrast the unique function of genes with KEGG database, we acquire 7140 genes (KO), a total of all the samples KO is 129788. We selected higher abundance genes to draw cluster heat maps, and according to the results of the KEGG metabolic pathway annotations, we acquire the gene function，including metabolism, environmental information processing, genetic information processing, cellular process and organismal systems. We contrast the unique function of genes with CAZy database, the functional carbohydrate hydrolases have corresponding genes in the intestinal microorganisms of the sable. This is closely related to the fact that the sable is adapted to cold environments and requires a large amount of energy to maintain its metabolic activity. We contrast the unique function of genes with eggNOG database，the main functions of genes included gene duplication, recombination and repair, transport and metabolism of amino acids, transport and metabolism of carbohydrates, etc. In this study, we intended to identify the complex microbial population structure of sables based on metagenomic sequencing method, which uses the whole metagenomic data, mapping the sequences to the known genes or the pathways in the existing databases, such as CAZy, KEGG, or eggNOG, and then exploring the genetic composition and functional diversity of microbial community based on the mapped functional categories.
Databáze: OpenAIRE
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