News

News Information

MAGIGENE | 20231027 of the Latest Research Progress of Microbial Diversity


Release time:

2023-11-02

This issue of MAGI's introduction to the research frontier of microbial diversity will be broadcast to you. If you want to read the detailed and intensive reading of any article in this issue, please leave us a message below. We will bring you a detailed interpretation in the later tweets ~

This issue of MAGI's introduction to the research frontier of microbial diversity will be broadcast to you. If you want to read the detailed and intensive reading of any article in this issue, please leave us a message below. We will bring you a detailed interpretation in the later tweets ~

 

Scan the QR code above
Pay attention to the public number of MAGI Kefu

Background reply impact factor
You can get the latest impact factor summary table for 2018-2022.

Background reply macro virus group

100 macro-viroomics literature cases available

 

标题:Metaproteomics, metagenomics and 16S rRNA sequencing provide different perspectives on the aerobic granular sludge microbiome

Macroproteomics, Metagenomics and 16S rRNA Sequencing Offer Different Perspectives for the Study of Aerobic Granular Sludge Microbiome

Author: Hugo B C Kleikamp et al

Time: 2023-10-06

期刊:Water Research

Impact factor: 12.8

DOI:10.1016/j. watles.2023.120700

 

 

Abstract

Huge advances in sequencing technology have made DNA sequencing a regular method for microbiome research. In addition, advances in mass spectrometry have extended traditional proteomics to the field of microbial ecology. However, systematic research is urgently needed to better understand the complementarity of these "omics" methods, especially for complex environments, such as wastewater treatment sludge. Here, the authors describe a comparative metabolomics study of aerobic granular sludge from three different wastewater treatment plants. To this end, the authors used metabonomics, metagenome sequencing and 16S rRNA amplicon sequencing to study the same size of particulate material. In addition, the authors further compared taxonomic features using the Genomic Taxonomy Database (GTDB) to enhance comparability between different methods. Although consistent major taxa were identified in different aerobic granular sludge samples, the taxonomic composition obtained by different omics techniques was significantly different at the low taxonomic level, which affected the interpretation of the nutrient removal process. However, genera identified consistently across all techniques encompass a large portion of the protein biomass, as demonstrated by macroproteomics. The established metabonomics data and contig classification process have been published, which provides a valuable resource for further study of the metabolic processes of aerobic granular sludge.

 

recommend language

The study conducted the first systematic macroomics study of aerobic granular sludge from three different wastewater treatment plants, and also compared different reference sequence databases, including GTDB, RefSeqNR, UniprotKB, MiDAS and SILVA. The data from the study demonstrate how uniomic approaches and databases are biased towards taxonomic and functional interpretation.



 

标题:Validation of 16S rRNA gene sequencing and metagenomics for evaluating microbial immigration in a methanogenic bioreactor

Validation of 16S rRNA Gene Sequencing and Metagenomics for Assessing Microbial Migration in Methanogenic Bioreactors

Author: Tzu-Yu Lin et al

Time: 2023-07-15

期刊:Water Research

Impact factor: 12.8

DOI:10.1016/j. watles.2023.120358

 

 

Abstract

In order to quantitatively evaluate the impact of microbial migration from upstream communities on microbial assembly in downstream communities, a mass balance (EGMB) model based on ecological genomics (ecogenomics) and 16S rRNA gene sequencing was established. This study further validated the EGMB model using a simulated community and demonstrated the feasibility of using a metagenome-based EGMB model to reveal microbial activity and function. A simulated community consisting of Aeromonas, E. coli and Pseudomonas was fed to a laboratory-scale methanogenic bioreactor along with a dissolved organic substrate. Using qPCR, 16S rRNA gene, 16S rRNA gene copy number normalization (GCN) and metagenomic analysis, the results showed that the community composition in feed was highly comparable. In the bioreactor, Aeromonas and Pseudomonas showed negative growth throughout the experiment. The growth rate of E. coli was negative in most biomarker assays, but positive in 16S rRNA gene assays. However, with the increase of the operating time of the reactor, the growth rate of E. coli in all treatments showed a negative growth trend. Uncultured Desulfobacterota, Chloroflexi, Actinobacteriota and Spirochaetota populations were observed to increase in abundance, indicating their contribution to the biomass aspect of the degraded feed. These populations have functions such as hydrolysis, fermentation, fatty acid degradation, or acetate oxidation according to the metabolic reconstitution of the metagenome. Overall, the results support the application of the EGMB model of the 16S rRNA gene and the metagenome to measure microbial growth rates in bioreactors, the latter having advantages in providing insight into microbial functions of uncultured species.

 

recommend language

The study evaluated the specific growth rates of the three bacterial strains by separately combining all four biomarkers (I. e., qPCR,16S rRNA gene, 16S rRNA GCN, and metagenome) in the EGMB model. Metabolic reconstitution was further performed using metagenomic analysis to reveal the potential function of the active population in the bioreactor. The results indicate that the metagenome-based EGMB model has great potential in characterizing microbial activity and the ecological role of microorganisms in full-scale AD.

 


 

标题:Integrating metabolomics, 16S rRNA sequencing, network pharmacology, and metorigin to explore the mechanism of Cinnamomi Cortex in treating chronic atrophic gastritis rats

Combined with metabolomics, 16S rRNA sequencing, network pharmacology and homology to study the mechanism of cinnamon bark in the treatment of chronic atrophic gastritis in rats

Author: Yuetao Liu et al

Time: 2023-09-12

期刊:Phytomedicine

Impact factor: 7.9

DOI:10.1016/j.phymed.2023.155084

 

 

Abstract

Cinnamon bark, known as Rougui (RG), is a widely used medicinal food congener. RG has the potential to treat chronic atrophic gastritis (CAG), a disease with widespread impact in the Chinese population. Based on the comprehensive chemical characterization of UHPLC-Q/TOF MS (ultra-high performance liquid chromatography-quadrupole/time-of-flight mass spectrometry), this study uses network pharmacology to predict the potential effective components and core targets of RG to CAG. The CAG animal model was further used to verify its pharmacodynamics, combined with metabolomics, 16S rRNA sequencing, Met origin metabolite traceability analysis and molecular docking to analyze the intestinal flora of cecal contents, and to explore its CAG confrontation mechanism based on the combined strategy. Network pharmacology was the first to predict the efficacy of RG due to four active ingredients and seven targets. Metabonomics of cecal contents of CAG rats combined with Met origin traceability analysis found that primary bile acid biosynthesis was the targeted metabolic pathway associated with intestinal microbiota metabolism. 16S rRNA sequencing suggests that RG treats CAG by regulating imbalances in the gut microbiota. Molecular docking further confirmed that the active ingredients of RG can interfere with potential targets, homology analysis pathways and key enzymes in the metabolic pathway of intestinal microbiota.

 

recommend language

The results showed that RG had a good effect on CAG. The four active ingredients of quercetin, kaempferol, oleic acid and epicatechin are the key to exert the drug effect, which can intervene against the core target of CAG, primary bile acid biosynthesis and intestinal flora metabolic pathway.

 


 

标题:An early-life microbiota metabolite protects against obesity by regulating intestinal lipid metabolism

An Early Microbiota Metabolite Prevents Obesity by Regulating Intestinal Lipid Metabolism

作者:Catherine D Shelton等

Time: 2023-10-03

期刊:Cell Host & Microbe

Impact factor: 30.3

Change: 10.1016/j.chom.2023.09.002

 

 

Abstract

The mechanisms by which the early life microbiota protects children from environmental factors that promote childhood obesity remain largely unknown. In a mouse model in which young rats are simultaneously exposed to antibiotics and a high-fat (HF) diet, studies have shown that Lactobacillus, a major member of the small intestine (SI) microbiota, regulates intestinal epithelial cells (IECs) early in life to limit diet-induced obesity. The Lactobacillus-derived metabolite phenyllactic acid (PLA) protects against metabolic dysfunction induced by early exposure to antibiotics and HF diet by increasing the abundance of peroxisome proliferator-activated receptor γ(PPAR-γ) in SI IECs. Thus, phenyllactic acid is a microbiota-derived metabolite that activates protective pathways in the intestinal epithelium to regulate intestinal lipid metabolism and prevent early-life antibiotic-associated obesity.

 

recommend language

The study showed that PLA upregulated intestinal PPAR-γ and prevented metabolic dysfunction caused by early exposure to antibiotics and HF diet. Thus, PLA is a microbiota-derived metabolite that activates protective pathways of the SI epithelium to prevent early-life obesity.

 


 

标题:Mefentrifluconazole exposure disrupted hepatic lipid metabolism disorder tightly associated with gut barrier function abnormal in mice

Liver lipid metabolism disorder induced by mefluconazole exposure is closely related to intestinal barrier dysfunction in mice

Author: Hu Zhang et al

Time: 2023-09-23

期刊:Science of the Total Environment

Impact factor: 9.8

DOI:10.1016/j.scitotenv.2023.167317

 

 

Abstract

Mefluconazole (Mefentrifluconazole, MFZ) is an azole fungicide used to control agricultural fungi. However, due to their non-biodegradability, azole fungicides can accumulate in plants, animals and the environment, thus becoming a major health problem worldwide. In this study, 7-week-old C57BL/6 mice were exposed to 10, 30 and 100 mg/kg of MFZ for 28 days to evaluate the toxic effects of MFZ on mouse liver and intestinal tissues. Histopathological, biochemical and transcriptome analysis showed that MFZ exposure disrupted liver structure and liver lipid metabolism, disrupted intestinal barrier function and promoted inflammation. In addition, 16S rRNA sequencing results showed that MFZ exposure significantly increased the abundance of patescibacteria at the genus level. In addition, MFZ exposure increased the abundance of bacterial genera associated with inhibition of glucose and lipid metabolism. These results suggest that the hepatic lipid metabolism disorder induced by MFZ exposure may be caused by changes in the function of intestinal flora. This study provides a new research idea for the risk assessment of MFZ, and also strengthens the attention of new fungicides.

 

recommend language

This study indicates that MFZ destroys liver lipid metabolism in mice, reduces the expression of liver lipid metabolism-related genes in mice, induces intestinal barrier dysfunction in mice, and leads to intestinal microbiota imbalance in mice. This provides a new research idea for the risk assessment of MFZ, and also strengthens the attention of new fungicides.

Magi Gene

Magi Kefu

Contact Us

Web:www.magigene.com

Address: Floor 13, Block B, Building 7, Phase 3, International Innovation Valley, Shenzhen

Address: 28th Floor, Building A, Guanzhou Life Science Center, Guangzhou International BioIsland

Address: 4F, Building 3, Phase 2, Guangzhou International Biological Island

Copyright©2023 Guangdong Magigene Biotechnology Co., Ltd.

SAF Coolest v1.3 设置面板OBFSX-ZNUX-JVSQE-XEW

图片ALT信息: Guangdong Meige Gene Technology Co., Ltd.

无数据提示

Sorry, the current column has no content for the time being.!

You can view other columns or returnHome Page

V1.3.1 SVG图标库请自行添加图标,用div包起来,并命名使用