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Omics in gut microbiome analysis
Tae Woong Whon , Na-Ri Shin , Joon Yong Kim , Seong Woon Roh
J. Microbiol. 2021;59(3):292-297.   Published online February 23, 2021
DOI: https://doi.org/10.1007/s12275-021-1004-0
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AbstractAbstract
Our understanding of the interactions between microbial communities and their niche in the host gut has improved owing to recent advances in environmental microbial genomics. Integration of metagenomic and metataxonomic sequencing data with other omics data to study the gut microbiome has become increasingly common, but downstream analysis after data integration and interpretation of complex omics data remain challenging. Here, we review studies that have explored the gut microbiome signature using omics approaches, including metagenomics, metataxonomics, metatranscriptomics, and metabolomics. We further discuss recent analytics programs to analyze and integrate multi-omics datasets and further utilization of omics data with other advanced techniques, such as adaptive immune receptor repertoire sequencing, microbial culturomics, and machine learning, to evaluate important microbiome characteristics in the gut.

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Journal Articles
Mucibacter soli gen. nov., sp. nov., a new member of the family Chitinophagaceae producing mucin
Min-Kyeong Kim , Sewook Park , Tae-Su Kim , Yochan Joung , Ji-Hye Han , Seung Bum Kim
J. Microbiol. 2019;57(5):356-361.   Published online February 22, 2019
DOI: https://doi.org/10.1007/s12275-019-8512-1
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AbstractAbstract
A Gram-stain-negative, mucus-forming, motile by gliding, non-spore-forming and short rod-shaped bacterial strain designated R1-15T was isolated from soil and its taxonomic position was evaluated using a polyphasic approach. Strain R1-15T grew at 15–37°C (optimum, 30°C), at pH 6–7 (optimum, pH 6) and in the presence of 0–1% (w/v) NaCl (optimum, 0%) on 0.1X TSA. On the basis of 16S rRNA gene sequence similarity, the novel strain was assigned to the family Chitinophagaceae of the phylum Bacteroidetes, and its closest related taxa were species of the genera Taibaiella (88.76– 90.02% sequence similarity), Lacibacter (89.24–90.00%), Chitinophaga (88.61–89.76%), and Terrimonas (89.04%). Flexirubin- type pigments were produced. The only isoprenoid quinone was MK-7, and the major polar lipid was phosphatidylethanolamine. Based on whole genome comparisons between the strain R1-15T and the type strains of relatives, the orthologous average nucleotide identity values were 66.9– 67.0%. The DNA G+C content of strain R1-15T was 43.8 mol%. The combination of phylogenetic, chemotaxonomic and phenotypic data clearly supported separation of strain R1-15T from related taxa, and thus the name Mucibacter soli gen. nov., sp. nov. is proposed. The type strain is R1-15T (= KCTC 62274T = JCM 31190T).

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Identification of essential genes of Pseudomonas aeruginosa for its growth in airway mucus
Mohammed Abd Alrahman , Sang Sun Yoon
J. Microbiol. 2017;55(1):68-74.   Published online December 30, 2016
DOI: https://doi.org/10.1007/s12275-017-6515-3
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  • 8 Crossref
AbstractAbstract
Pseudomonas aeruginosa has been identified as an important causative agent of airway infection, mainly in cystic fibrosis. This disease is characterized by defective mucociliary clearance induced in part by mucus hyper-production. Mucin is a major component of airway mucus and is heavily O-glycosylated, with a protein backbone. Airway infection is known to be established with bacterial adhesion to mucin. However, the genes involved in mucin degradation or utilization remain elusive. In this study, we sought to provide a genetic basis of P. aeruginosa airway growth by identifying those genes. First, using RNASeq analyses, we compared genome-wide expression profiles of PAO1, a prototype P. aeruginosa laboratory strain, grown in M9-mucin (M9M) and M9-glucose (M9G) media. Additionally, a PAO1 transposon (Tn) insertion mutants library was screened for mutants defective in growth in M9M medium. One mutant with a Tn insertion in the xcpU gene (PA3100) was determined to exhibit faulty growth in M9M medium. This gene contributes to the type II secretion system, suggesting that P. aeruginosa uses this secretion system to produce a number of proteins to break down and assimilate the mucin molecule. Furthermore, we screened the PAO1 genome for genes with protease activity. Of 13 mutants, one with mutation in PA3247 gene exhibited defective growth in M9M, suggesting that the PA3247-encoded protease plays a role in mucin utilization. Further mechanistic dissection of this particular process will reveal new drug targets, the inhibition of which could control recalcitrant P. aeruginosa infections.

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Carbohydrate-binding specificities of potential probiotic Lactobacillus strains in porcine jejunal (IPEC-J2) cells and porcine mucin
Valerie Diane Valeriano , Bernadette B. Bagon , Marilen P. Balolong , Dae-Kyung Kang
J. Microbiol. 2016;54(7):510-519.   Published online June 28, 2016
DOI: https://doi.org/10.1007/s12275-016-6168-7
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AbstractAbstract
Bacterial lectins are carbohydrate-binding adhesins that recognize glycoreceptors in the gut mucus and epithelium of hosts. In this study, the contribution of lectin-like activities to adhesion of Lactobacillus mucosae LM1 and Lactobacillus johnsonii PF01, which were isolated from swine intestine, were compared to those of the commercial probiotic Lactobacillus rhamnosus GG. Both LM1 and PF01 strains have been reported to have good adhesion ability to crude intestinal mucus of pigs. To confirm this, we quantified their adhesion to porcine gastric mucin and intestinal porcine enterocytes isolated from the jejunum of piglets (IPEC-J2). In addition, we examined their carbohydrate-binding specificities by suspending bacterial cells in carbohydrate solutions prior to adhesion assays. We found that the selected carbohydrates affected the adherences of LM1 to IPEC-J2 cells and of LGG to mucin. In addition, compared to adhesion to IPEC-J2 cells, adhesion to mucin by both LM1 and LGG was characterized by enhanced specific recognition of glycoreceptor components such as galactose, mannose, and N-acetylglucosamine. Hydrophobic interactions might make a greater contribution to adhesion of PF01. A similar adhesin profile between a probiotic and a pathogen, suggest a correlation between shared pathogen–probiotic glycoreceptor recognition and the ability to exclude enteropathogens such as Escherichia coli K88 and Salmonella Typhimurium KCCM 40253. These findings extend our understanding of the mechanisms of the intestinal adhesion and pathogen-inhibition abilities of probiotic Lactobacillus strains.

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