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It is commonly recognized that immunodeficiency modifies the gut microbiota in mammals. However, little information on the gut microbiota is available for athymic nude mice; one of the most popular animals for modeling immunodeficiency and tumors. In this study, 16S rDNA amplicon sequencing was performed to investigate the gut microbial composition of pup nude BALB/c mice during a 30-day experimental period. In contrast to pup normal mice, pup nude mice showed a significant variation in gut microbiota. Continuously decreased dynamics of the gut bacterial Shannon index, abnormal Firmicutes/Bacteroidetes ratio, the rarity of Bifidobacterium and Lactobacillus species, and a developmental lag of gut bacterial functions were observed in nude mice. The shift in gut microbiota and abnormal colonization of beneficial bacterial species in nude mice provide an updated insight into the nude mouse tumor model and a new perspective for establishing an animal model for study on dysbacteriosis.
Pubmed ID: 30965569 RIS Download
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THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 23,2023.Software package for comparison and analysis of microbial communities, primarily based on high-throughput amplicon sequencing data, but also supporting analysis of other types of data. QIMME analyzes and transforms raw sequencing data generated on Illumina or other platforms to publication quality graphics and statistics.
View all literature mentionsIntegrated database resource consisting of 16 main databases, broadly categorized into systems information, genomic information, and chemical information. In particular, gene catalogs in completely sequenced genomes are linked to higher-level systemic functions of cell, organism, and ecosystem. Analysis tools are also available. KEGG may be used as reference knowledge base for biological interpretation of large-scale datasets generated by sequencing and other high-throughput experimental technologies.
View all literature mentionsTHIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 28,2023. Algorithm for high-dimensional biomarker discovery and explanation that identifies genes, pathways, or taxa characterizing the differences between two or more biological conditions. The algorithm identifies features that are statistically different among biological classes, then performs additional tests to assess whether these differences are consistent with respect to expected biological behavior. Statistical significance and biological relevance are emphasized.
View all literature mentionslaboratory mouse with name BALB/cAnNCrl from MGI.
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