Abstract
Human gut microbiota modulates normal physiological functions, such as maintenance of barrier homeostasis and modulation of metabolism, as well as various chronic diseases including type 2 diabetes and gastrointestinal cancer. Despite decades of research, the composition of the gut microbiota remains poorly understood. Here, we established an effective extraction method to obtain high quality gut microbiota genomes, and analyzed them with third-generation sequencing technology. We acquired a large quantity of data from each sample and assembled large numbers of reliable contigs. With this approach, we constructed tens of completed bacterial genomes in which there were several new bacteria species. We also identified a new conditional pathogen, Enterococcus tongjius, which is a member of Enterococci. This work provided a novel and reliable approach to recover gut microbiota genomes, facilitating the discovery of new bacteria species and furthering our understanding of the microbiome that underlies human health and diseases.
Highlights
There is increasing evidence that the gut microbiota, the human commensals, influences normal physiological functions, such as maintenance of barrier homeostasis and modulation of metabolism, inflammation, immunity, and development[1,2,3]
Through analysis of genome databases in NCBI, we found that most of the bacterial genomes are larger than 0.5 Mb and the smallest bacteria genome was approximately 0.1 Mb (Supplementary Table 1 and Supplementary Fig. 1b)
Through analysis of the functional potential of coding sequences (CDSs), we found that many CDSs were correlated with the metabolism of amino acids and carbohydrates
Summary
There is increasing evidence that the gut microbiota, the human commensals, influences normal physiological functions, such as maintenance of barrier homeostasis and modulation of metabolism, inflammation, immunity, and development[1,2,3]. The gut microbiota influences drug effectiveness because of its effects on drug metabolism[7,8]. As only a single region of 16s rRNA in the genome is detected, it provides limited information about the microbial community[13,14]. Compared with 16s rRNA sequencing, WGS technology examines whole bacterial genomes, and provides more accurate detection at the species and diversity levels[15]. There are several drawbacks in Official journal of the Cell Death Differentiation Association
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
