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      Comparative Genomics Revealed Wide Intra-Species Genetic Heterogeneity and Lineage-Specific Genes of Akkermansia muciniphila

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          ABSTRACT

          Akkermansia muciniphila has potential as a next-generation probiotic, but few previous studies attempted to analyze its intraspecies population diversity. In this study, we performed a comparative genomic analysis of 112 filtered genomes from the NCBI database. The populations formed three clades (A-C) on the phylogenetic tree, suggesting the existence of three genetic lineages though clades B and C were phylogenetically closer than clade A. The three clades also showed geographic-based clustering, different genetic characteristics, and clade-specific genes. Two putative functional genes ( RecD2 and xerD) were specific to clade C due to genomic islands. These lineage-specific genes might be associated with differences in genomic features (number of phages/genomic islands, pan-core genome, recombination rate, genetic diversity) between genetic lineages. The carbohydrate utilization gene profile (particularly for glycolytic hydrolases and carbohydrate esterases) also varied between clades, suggesting different carbohydrate metabolism potential/requirements between genetic lineages. Our findings provide important implications for future research on A. muciniphila.

          IMPORTANCE Akkermansia muciniphila has been widely accepted as part of the next generation of probiotics. However, most current studies on A. muciniphila have focused on the application of type strain BAA835 T in the treatment of diseases, while few studies have reported on the genomic specificity, population structure, and functional characteristics of A. muciniphila species. By comparing the genomes of 112 strains from NCBI which met the quality control conditions, we found that the A. muciniphila population could be divided into three main clades (clades A to C) and presented a certain regional aggregation. There are significant differences among the three clades in their genetic characteristics and functional genes (the type strain BAA835 T was located in clade A), especially in genes related to carbohydrate metabolism. It should be mentioned that probiotics should be a concept at the strain level rather than at the gut species level, so the probiotic properties of A. muciniphila need to be carefully interpreted.

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          Prokka: rapid prokaryotic genome annotation.

          T Seemann (2014)
          The multiplex capability and high yield of current day DNA-sequencing instruments has made bacterial whole genome sequencing a routine affair. The subsequent de novo assembly of reads into contigs has been well addressed. The final step of annotating all relevant genomic features on those contigs can be achieved slowly using existing web- and email-based systems, but these are not applicable for sensitive data or integrating into computational pipelines. Here we introduce Prokka, a command line software tool to fully annotate a draft bacterial genome in about 10 min on a typical desktop computer. It produces standards-compliant output files for further analysis or viewing in genome browsers. Prokka is implemented in Perl and is freely available under an open source GPLv2 license from http://vicbioinformatics.com/. © The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.
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            Gut microbiome influences efficacy of PD-1–based immunotherapy against epithelial tumors

            Immune checkpoint inhibitors (ICI) targeting the PD-1/PD-L1 axis induce sustained clinical responses in a sizeable minority of cancer patients. Here, we show that primary resistance to ICI can be due to abnormal gut microbiome composition. Antibiotics (ATB) inhibited the clinical benefit of ICI in patients with advanced cancer. Fecal microbiota transplantation (FMT) from cancer patients who responded to ICI (but not from non-responding patients) into germ-free or ATB-treated mice ameliorated the antitumor effects of PD-1 blockade. Metagenomics of patient stools at diagnosis revealed correlations between clinical responses to ICI and the relative abundance of Akkermansia muciniphila. Oral supplementation with A. muciniphila post-FMT with non-responder feces restored the efficacy of PD-1 blockade in an IL-12-dependent manner, by increasing the recruitment of CCR9+CXCR3+CD4+ T lymphocytes into tumor beds.
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              Roary: rapid large-scale prokaryote pan genome analysis

              Summary: A typical prokaryote population sequencing study can now consist of hundreds or thousands of isolates. Interrogating these datasets can provide detailed insights into the genetic structure of prokaryotic genomes. We introduce Roary, a tool that rapidly builds large-scale pan genomes, identifying the core and accessory genes. Roary makes construction of the pan genome of thousands of prokaryote samples possible on a standard desktop without compromising on the accuracy of results. Using a single CPU Roary can produce a pan genome consisting of 1000 isolates in 4.5 hours using 13 GB of RAM, with further speedups possible using multiple processors. Availability and implementation: Roary is implemented in Perl and is freely available under an open source GPLv3 license from http://sanger-pathogens.github.io/Roary Contact: roary@sanger.ac.uk Supplementary information: Supplementary data are available at Bioinformatics online.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                Microbiol Spectr
                Microbiol Spectr
                spectrum
                Microbiology Spectrum
                American Society for Microbiology (1752 N St., N.W., Washington, DC )
                2165-0497
                10 May 2022
                May-Jun 2022
                10 May 2022
                : 10
                : 3
                : e02439-21
                Affiliations
                [a ] Key Laboratory of Dairy Biotechnology and Engineering (IMAU), Ministry of Education; Key Laboratory of Dairy Products Processing, Ministry of Agriculture and Rural Affairs; Inner Mongolia Key Laboratory of Dairy Biotechnology and Engineering; Collaborative Innovative Center of Ministry of Education for Lactic Acid Bacteria and Fermented Dairy Products, Inner Mongolia Agricultural Universitygrid.411638.9, , Hohhot, China
                [b ] Center of Information and Network Technology, Inner Mongolia Agricultural Universitygrid.411638.9, , Hohhot, China
                [c ] Inner Mongolia Engineering Research Center of Genomic Big Data for Agriculture, Inner Mongolia Agricultural Universitygrid.411638.9, , Hohhot, China
                National Health Research Institutes
                Author notes

                Weicheng Li, Jiaqi Sun, and Yongjian Jing contributed equally to this article. Author order was determined by drawing straws.

                The authors declare no conflict of interest.

                Author information
                https://orcid.org/0000-0001-9880-9390
                https://orcid.org/0000-0002-7605-2048
                https://orcid.org/0000-0002-2773-8043
                Article
                02439-21 spectrum.02439-21
                10.1128/spectrum.02439-21
                9241678
                35536024
                28f94d13-3194-48c4-b30a-8e80ef6a51c9
                Copyright © 2022 Li et al.

                This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license.

                History
                : 1 December 2021
                : 17 April 2022
                Page count
                supplementary-material: 1, Figures: 5, Tables: 0, Equations: 0, References: 49, Pages: 14, Words: 7620
                Funding
                Funded by: National Natural Science Foundation of China (NSFC), FundRef https://doi.org/10.13039/501100001809;
                Award ID: 31901670
                Award Recipient :
                Funded by: Natural Science Foundation of Inner Mongolia (Inner Mongolia Natural Science Foundation), FundRef https://doi.org/10.13039/501100004763;
                Award ID: 2020ZD12
                Award Recipient :
                Funded by: Natural Science Foundation of Inner Mongolia (Inner Mongolia Natural Science Foundation), FundRef https://doi.org/10.13039/501100004763;
                Award ID: 2019BS03003
                Award Recipient :
                Funded by: Natural Science Foundation of Inner Mongolia (Inner Mongolia Natural Science Foundation), FundRef https://doi.org/10.13039/501100004763;
                Award ID: 2019MS03020
                Award Recipient :
                Funded by: National Natural Science Foundation of China (NSFC), FundRef https://doi.org/10.13039/501100001809;
                Award ID: 31972095
                Award Recipient :
                Categories
                Research Article
                microbial-genetics, Microbial Genetics
                Custom metadata
                May/June 2022

                akkermansia muciniphila,carbohydrate metabolism,gut microbe,next-generation probiotics,recombination

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