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The microbial characterization of the mammal's gut is an emerging research area, wherein culturomics methodologies applied to human samples are transposed to the animal context without improvement. In this work, using Egyptian mongoose as a model, we explore wet bench conditions to define an effective experimental design based on culturomics and DNA barcoding with potential application to different mammal species. After testing a battery of solid media and enrichments, we show that YCFA-based media, in aerobic and anaerobic conditions, together with PDA supplemented with chloramphenicol, are sufficient to maximize bacterial and fungal microbiota diversity. The pasteurization of the sample enrichment before cultivation is central to gain insight into sporogenic communities. We suggest the application of this optimized culturomics strategy to accurately expand knowledge on the microbial richness of mammals' gut, maximizing the application of common laboratory resources, without dramatic time and consumables expenditure but with high resolution of microbial landscapes. The analysis of ten fecal samples proved adequate to assess the core gastrointestinal microbiota of the mesocarnivore under analysis. This approach may empower most microbiology laboratories, particularly the veterinary, to perform studies on mammal's microbiota, and, in contrast with metagenomics, enabling the recovery of live bacteria for further studies. [ABSTRACT FROM AUTHOR]

Epidemiological surveillance of animal tuberculosis (TB) based on whole genome sequencing (WGS) of Mycobacterium bovis has recently gained track due to its high resolution to identify infection sources, characterize the pathogen population structure, and facilitate contact tracing. However, the workflow from bacterial isolation to sequence data analysis has several technical challenges that may severely impact the power to understand the epidemiological scenario and inform outbreak response. While trying to use archived DNA from cultured samples obtained during routine official surveillance of animal TB in Portugal, we struggled against three major challenges: the low amount of M. bovis DNA obtained from routinely processed animal samples; the lack of purity of M. bovis DNA, i.e., high levels of contamination with DNA from other organisms; and the co-occurrence of more than one M. bovis strain per sample (within-host mixed infection). The loss of isolated genomes generates missed links in transmission chain reconstruction, hampering the biological and epidemiological interpretation of data as a whole. Upon identification of these challenges, we implemented an integrated solution framework based on whole genome amplification and a dedicated computational pipeline to minimize their effects and recover as many genomes as possible. With the approaches described herein, we were able to recover 62 out of 100 samples that would have otherwise been lost. Based on these results, we discuss adjustments that should be made in official and research laboratories to facilitate the sequential implementation of bacteriological culture, PCR, downstream genomics, and computational-based methods. All of this in a time frame supporting data-driven intervention. [ABSTRACT FROM AUTHOR]