Corrigendum: A westernized diet changed the colonic bacterial composition and metabolite concentration in a dextran sulfate sodium pig model for ulcerative colitis.

[This corrects the article DOI: 10.3389/fmicb.2023.1018242.].

A westernized diet changed the colonic bacterial composition and metabolite concentration in a dextran sulfate sodium pig model for ulcerative colitis.

Introduction: Ulcerative colitis (UC) is characterized by chronic inflammation in the colonic epithelium and has a blurred etiology. A western diet and microbial dysbiosis in the colon were reported to play a role in UC development. In this study, we investigated the effect of a westernized diet, i.e., increasing fat and protein content by including ground beef, on the colonic bacterial composition in a dextran sulfate sodium (DexSS) challenged pig study. Methods: The experiment was carried out in three complete blocks following a 2×2 factorial design including 24 six-week old pigs, fed either a standard diet (CT) or the standard diet substituted with 15% ground beef to simulate a typical westernized diet (WD). Colitis was induced in half of the pigs on each dietary treatment by oral administration of DexSS (DSS and WD+DSS, respectively). Samples from proximal and distal colon and feces were collected. Results and discussion: Bacterial alpha diversity was unaffected by experimental block, and sample type. In proximal colon, WD group had similar alpha diversity to CT group and the WD+DSS group showed the lowest alpha diversity compared to the other treatment groups. There was a significant interaction between western diet and DexSS for beta diversity, based on Bray-Curtis dissimilarly. The westernized diet and DexSS resulted in three and seven differentially abundant phyla, 21 and 65 species, respectively, mainly associated with the Firmicutes and Bacteroidota phyla followed by Spirochaetota, Desulfobacterota, and Proteobacteria. The concentration of short-chain fatty acids (SCFA) was lowest in the distal colon. Treatment had a slight effect on the estimates for microbial metabolites that might have valuable biological relevance for future studies. The concentration of putrescine in the colon and feces and that of total biogenic amines was highest in the WD+DSS group. We conclude that a westernized diet could be a potential risk factor and an exacerbating agent for UC by reducing the abundance of SCFA-producing bacteria, increasing the abundance of pathogens such as Helicobacter trogontum, and by increasing the concentration of microbial proteolytic-derived metabolites in the colon.

Gut Metagenomic Profiling of Gossypol Induced Oxycarenus laetus (Hemiptera: Lygaeidae) Reveals Gossypol Tolerating Bacterial Species.

Oxycarenus laetus is a cotton pest that primarily feeds on seeds that are rich in gossypol. Though gossypol is toxic to general herbivores, O. laetus does not show such complications and instead grows and reproduces well on cotton plants compared to its other hosts. In this study, we have fed O. laetus with natural and induced gossypol-based diets to explore the difference in its gut microbiota. We performed NGS 16S rRNA amplicon sequencing on the Illumina MiSeq platform and analyzed the data using the QIIME2 pipeline supplemented with Greengenes and EZBioCloud reference databases. We also used culture-based methods to identify a few abundant gut bacteria present in O. laetus. Enterococcus faecalis, Wolbachia bourtzisii, Wolbachia pipientis, Corynebacterium glyciniphilum, Staphylococcus sciuri, and Kocuria rosea were some of the major species that formed the core gut microbiome of O. laetus. We have also observed that some species were present only in the sample with the highest concentration of gossypol, signifying that they might have the potential to degrade gossypol. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12088-021-00964-0.

Impact of azithromycin mass drug administration on the antibiotic-resistant gut microbiome in children: a randomized, controlled trial.

BACKGROUND: Mass drug administration (MDA) with azithromycin is the primary strategy for global trachoma control efforts. Numerous studies have reported secondary effects of MDA with azithromycin, including reductions in childhood mortality, diarrhoeal disease and malaria. Most recently, the MORDOR clinical trial demonstrated that MDA led to an overall reduction in all-cause childhood mortality in targeted communities. There is however concern about the potential of increased antimicrobial resistance in treated communities. This study evaluated the impact of azithromycin MDA on the prevalence of gastrointestinal carriage of macrolide-resistant bacteria in communities within the MORDOR Malawi study, additionally profiling changes in the gut microbiome after treatment. For faecal metagenomics, 60 children were sampled prior to treatment and 122 children after four rounds of MDA, half receiving azithromycin and half placebo. RESULTS: The proportion of bacteria carrying macrolide resistance increased after azithromycin treatment. Diversity and global community structure of the gut was minimally impacted by treatment, however abundance of several species was altered by treatment. Notably, the putative human enteropathogen Escherichia albertii was more abundant after treatment. CONCLUSIONS: MDA with azithromycin increased carriage of macrolide-resistant bacteria, but had limited impact on clinically relevant bacteria. However, increased abundance of enteropathogenic Escherichia species after treatment requires further, higher resolution investigation. Future studies should focus on the number of treatments and administration schedule to ensure clinical benefits continue to outweigh costs in antimicrobial resistance carriage. Trial registration ClinicalTrial.gov, NCT02047981. Registered January 29th 2014, https://clinicaltrials.gov/ct2/show/NCT02047981.

Characterizing Enterotypes in Human Metagenomics: A Viral Perspective.

The diversity and high genomic mutation rates of viral species hinder our understanding of viruses and their contributions to human health. Viral enterotypes as a description of the gut virome, its characteristics have not been thoroughly studied. Here we investigated the human gut virome composition using previously published sequencing data of 2,690 metagenomes from seven countries with various phenotypes. We found that the virome was dominated by double-stranded DNA viruses in our data, and young children and adults showed different stages in their fecal enterovirus composition. Beta diversity showed there were significantly less homogeneous in individuals with severe disorders of bile acid secretion, such as cirrhosis. In contrast, there were no significant differences in distances to centroids or viral components between patients with phenotypes unrelated to bile acid, such as hypertension. Enterotypes determined independently from various projects showed similar specific viruses and enrichment direction. Confounding factors, such as different sequencing platforms and library construction, did not confuse enterotyping. The gut virome composition pattern could be described by two viral enterotypes, which supported a discrete, rather than a gradient, distribution. Three main components, enterotype 1 and 2 specific viruses and the other, comprise the total viral variation in these sets. Compared with enterotype 2, enterotype 1 had a higher viral count, Shannon index, and similarity between samples. The relative abundance of enterotype-specific viruses is a crucial determinant of enterotype assignment. Samples not matching any of the defined enterotypes in the database did not necessarily correlate to sickness. Therefore, the background context must be carefully considered when using a viral enterotype as a feature for disease prediction. Our results highlight important insights into the human gut virome composition by exploring two-main viral enterotypes in population and providing an alternate covariate for early disease screening.

LEMON: a method to construct the local strains at horizontal gene transfer sites in gut metagenomics.

BACKGROUND: Horizontal Gene Transfer (HGT) refers to the transfer of genetic materials between organisms through mechanisms other than parent-offspring inheritance. HGTs may affect human health through a large number of microorganisms, especially the gut microbiomes which the human body harbors. The transferred segments may lead to complicated local genome structural variations. Details of the local genome structure can elucidate the effects of the HGTs. RESULTS: In this work, we propose a graph-based method to reconstruct the local strains from the gut metagenomics data at the HGT sites. The method is implemented in a package named LEMON. The simulated results indicate that the method can identify transferred segments accurately on reference sequences of the microbiome. Simulation results illustrate that LEMON could recover local strains with complicated structure variation. Furthermore, the gene fusion points detected in real data near HGT breakpoints validate the accuracy of LEMON. Some strains reconstructed by LEMON have a replication time profile with lower standard error, which demonstrates HGT events recovered by LEMON is reliable. CONCLUSIONS: Through LEMON we could reconstruct the sequence structure of bacteria, which harbors HGT events. This helps us to study gene flow among different microbial species.

Revisit of Machine Learning Supported Biological and Biomedical Studies.

Generally, machine learning includes many in silico methods to transform the principles underlying natural phenomenon to human understanding information, which aim to save human labor, to assist human judge, and to create human knowledge. It should have wide application potential in biological and biomedical studies, especially in the era of big biological data. To look through the application of machine learning along with biological development, this review provides wide cases to introduce the selection of machine learning methods in different practice scenarios involved in the whole biological and biomedical study cycle and further discusses the machine learning strategies for analyzing omics data in some cutting-edge biological studies. Finally, the notes on new challenges for machine learning due to small-sample high-dimension are summarized from the key points of sample unbalance, white box, and causality.

Genomic research of traditional Chinese medicines in vivo metabolism / 中国中药杂志

Gene is the base of in vivo metabolism and effectiveness for traditional Chinese medicines (TCM), and the gene expression, regulation and modification are used as the research directions to perform the TCM multi-component, multi-link and multi-target in vivo metabolism studies, which will improve the research on TCM metabolic proecess, effect target and molecular mechanism. Humans are superorganisms with 1% genes inherited from parents and 99% genes from various parts of the human body, mainly coming from the microorganisms in intestinal flora. These indicate that genetically inherited human genome and "second genome" could affect the TCM in vivo metabolism from inheritance and "environmental" aspects respectively. In the present paper, typical case study was used to discuss related TCM in vivo metabolic genomics research, mainly including TCM genomics research and gut metagenomics research, as well as the personalized medicine evoked from the individual difference of above genomics (metagenomics).

[Genomic research of traditional Chinese medicines in vivo metabolism].

Gene is the base of in vivo metabolism and effectiveness for traditional Chinese medicines (TCM), and the gene expression, regulation and modification are used as the research directions to perform the TCM multi-component, multi-link and multi-target in vivo metabolism studies, which will improve the research on TCM metabolic proecess, effect target and molecular mechanism. Humans are superorganisms with 1% genes inherited from parents and 99% genes from various parts of the human body, mainly coming from the microorganisms in intestinal flora. These indicate that genetically inherited human genome and "second genome" could affect the TCM in vivo metabolism from inheritance and "environmental" aspects respectively. In the present paper, typical case study was used to discuss related TCM in vivo metabolic genomics research, mainly including TCM genomics research and gut metagenomics research, as well as the personalized medicine evoked from the individual difference of above genomics (metagenomics).