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1.
Gut Microbes ; 15(2): 2286675, 2023 Dec.
Article in English | MEDLINE | ID: mdl-38059748

ABSTRACT

Inflammatory bowel disease (IBD) is a persistent inflammatory condition that affects the gastrointestinal tract and presents significant challenges in its management and treatment. Despite the knowledge that within-host bacterial evolution occurs in the intestine, the disease has rarely been studied from an evolutionary perspective. In this study, we aimed to investigate the evolution of resident bacteria during intestinal inflammation and whether- and how disease-related bacterial genetic changes may present trade-offs with potential therapeutic importance. Here, we perform an in vivo evolution experiment of E. coli in a gnotobiotic mouse model of IBD, followed by multiomic analyses to identify disease-specific genetic and phenotypic changes in bacteria that evolved in an inflamed versus a non-inflamed control environment. Our results demonstrate distinct evolutionary changes in E. coli specific to inflammation, including a single nucleotide variant that independently reached high frequency in all inflamed mice. Using ex vivo fitness assays, we find that these changes are associated with a higher fitness in an inflamed environment compared to isolates derived from non-inflamed mice. Further, using large-scale phenotypic assays, we show that bacterial adaptation to inflammation results in clinically relevant phenotypes, which intriguingly include collateral sensitivity to antibiotics. Bacterial evolution in an inflamed gut yields specific genetic and phenotypic signatures. These results may serve as a basis for developing novel evolution-informed treatment approaches for patients with intestinal inflammation.


Subject(s)
Gastrointestinal Microbiome , Inflammatory Bowel Diseases , Humans , Mice , Animals , Escherichia coli/genetics , Clinical Relevance , Inflammatory Bowel Diseases/genetics , Bacteria , Inflammation , Genotype
2.
Arch Microbiol ; 204(9): 546, 2022 Aug 08.
Article in English | MEDLINE | ID: mdl-35939214

ABSTRACT

Two bacterial strains, KH365_2T and KH569_7, were isolated from the cecum contents of wild-derived house mice. The strains were characterized as Gram-negative, rod-shaped, strictly anaerobic, and non-motile. Phylogenetic analysis based on 16S rRNA gene sequences revealed that both strains were most closely related to Bacteroides uniformis ATCC 8492T. Whole genome sequences of KH365_2T and KH569_7 strains have a DNA G + C content of 46.02% and 46.03% mol, respectively. Most morphological and biochemical characteristics did not differ between the newly isolated strains and classified Bacteroides strains. However, the average nucleotide identity (ANI) and dDNA-DNA hybridization (dDDH) values clearly distinguished the two strains from described members of the genus Bacteroides. Here, we present the phylogeny, morphology, and physiology of a novel species of the genus Bacteroides and propose the name Bacteroides muris sp. nov., with KH365_2T (DSM 114231T = CCUG 76277T) as type strain.


Subject(s)
Bacteroides , Gastropoda , Animals , Bacterial Typing Techniques , Bacteroides/genetics , Cecum/microbiology , DNA, Bacterial/chemistry , DNA, Bacterial/genetics , Fatty Acids/analysis , Mice , Phylogeny , RNA, Ribosomal, 16S/genetics , Sequence Analysis, DNA
3.
Microbiology (Reading) ; 168(4)2022 04.
Article in English | MEDLINE | ID: mdl-35467500

ABSTRACT

The type VI secretion system (T6SS) is a molecular puncturing device that enables Gram-negative bacteria to kill competitors, manipulate host cells and take up nutrients. Who would want to miss such superpowers? Indeed, many studies show how widespread the secretion apparatus is among microbes. However, it is becoming evident that, on multiple taxonomic levels, from phyla to species and strains, some bacteria lack a T6SS. Here, we review who does and does not have a type VI secretion apparatus and speculate on the dynamic process of gaining and losing the secretion system to better understand its spread and distribution across the microbial world.


Subject(s)
Type VI Secretion Systems , Bacteria/genetics , Bacterial Proteins/genetics , Gram-Negative Bacteria/genetics , Type VI Secretion Systems/genetics
4.
J Mol Model ; 21(10): 252, 2015 Oct.
Article in English | MEDLINE | ID: mdl-26361768

ABSTRACT

Initiation of the Tuberculosis Structural Consortium has resulted in the expansion of the Mycobacterium tuberculosis (MTB) protein structural database. Currently, 969 experimentally solved structures are available for 354 MTB proteins. This includes multiple crystal structures for a given protein under different functional conditions, such as the presence of different ligands or mutations. In depth analysis of the multiple structures reveal that subtle differences exist in conformations of a given protein under varied conditions. Therefore, it is immensely important to understand the conformational differences between the multiple structures of a given protein in order to select the most suitable structure for molecular docking and structure-based drug designing. Here, we introduce a web portal ( http://bmi.icmr.org.in/mtbsd/torsion.php ) that we developed to provide comparative data on the ensemble of available structures of MTB proteins, such as Cα root means square deviation (RMSD), sequence identity, presence of mutations and torsion angles. Additionally, torsion angles were used to perform principal component analysis (PCA) to identify the conformational differences between the structures. Additionally, we present a few case studies to demonstrate this database. Graphical Abstract Conformational changes seen in the structures of the enoyl-ACP reductase protein encoded by the Mycobacterial gene inhA.


Subject(s)
Bacterial Proteins/chemistry , Models, Molecular , Mycobacterium tuberculosis/chemistry , Protein Conformation , Web Browser , Antitubercular Agents/chemistry , Antitubercular Agents/pharmacology , Bacterial Proteins/antagonists & inhibitors , Catalytic Domain , Computational Biology/methods , Databases, Protein , Drug Discovery , Ligands , Protein Interaction Domains and Motifs , Quantitative Structure-Activity Relationship
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