• Title/Summary/Keyword: Metagenome analysis

Search Result 60, Processing Time 0.028 seconds

Functional Metagenome Mining of Soil for a Novel Gentamicin Resistance Gene

  • Im, Hyunjoo;Kim, Kyung Mo;Lee, Sang-Heon;Ryu, Choong-Min
    • Journal of Microbiology and Biotechnology
    • /
    • v.26 no.3
    • /
    • pp.521-529
    • /
    • 2016
  • Extensive use of antibiotics over recent decades has led to bacterial resistance against antibiotics, including gentamicin, one of the most effective aminoglycosides. The emergence of resistance is problematic for hospitals, since gentamicin is an important broad-spectrum antibiotic for the control of bacterial pathogens in the clinic. Previous study to identify gentamicin resistance genes from environmental samples have been conducted using culture-dependent screening methods. To overcome these limitations, we employed a metagenome-based culture-independent protocol to identify gentamicin resistance genes. Through functional screening of metagenome libraries derived from soil samples, a fosmid clone was selected as it conferred strong gentamicin resistance. To identify a specific functioning gene conferring gentamicin resistance from a selected fosmid clone (35-40 kb), a shot-gun library was constructed and four shot-gun clones (2-3 kb) were selected. Further characterization of these clones revealed that they contained sequences similar to that of the RNA ligase, T4 rnlA that is known as a toxin gene. The overexpression of the rnlA-like gene in Escherichia coli increased gentamicin resistance, indicating that this toxin gene modulates this trait. The results of our metagenome library analysis suggest that the rnlA-like gene may represent a new class of gentamicin resistance genes in pathogenic bacteria. In addition, we demonstrate that the soil metagenome can provide an important resource for the identification of antibiotic resistance genes, which are valuable molecular targets in efforts to overcome antibiotic resistance.

Diversity and cluster analysis of pine mushroom's endophytes using metagenome analysis

  • Seo, Jong Beom;Choi, Ah Hyeon;Rusaati, Butoto Imani wa;Kang, Jun Won
    • Korean Journal of Agricultural Science
    • /
    • v.48 no.3
    • /
    • pp.493-503
    • /
    • 2021
  • Tricholoma matsutake (Pinus mushroom, PM) is one of the most valued ectomycorrhizal fungi in Asia because it is an expensive forest product with a unique flavor and taste. Therefore, many studies have tried to successfully cultivate Tricholoma matsutake artificially in Korea and other countries. However, its physiological and ecological characteristics are still unknown. Thus, we need to understand the diversity and clusters of microorganisms related to Tricholoma matsutake and to identify their core microorganisms related to their growth and production. In this study, we obtained an average of 11,661 fragments from three pine mushrooms with metagenome (an assemblage of genes of all microorganisms in the natural world) analysis from a pine forest located in Pohang, Gyeongsang-Bukdo. Of these, the valid reads were on average 5,073 per sample available for analysis, and the average length of a read was 456 bp. There were an average of 33.3 phyla in the metagenome analysis. Firmicutes phylum made up on an average 46% of the phyla and was dominant among the phyla. The next dominant phylum was Proteobacteria at 27% followed by Bacteroidetes at 17%, Actinobacteria at 5% and Verrucomicrobia at 2%. The Proteobacteria phylum consisted of the γ-proteobacteria class at 54% followed by β-proteobacteria at 37%, α-proteobacteria at 6%, δ-proteobacteria at 2% and ζ-proteobacteria at 0%. The metagenome consisted of the Ruminococcaceae family at 17% followed by Pseudomonadaceae at 13%, Burkholderiaceae at 7%, Bacteroidaceae at 7%, Lachnospiraceae at 7% and Clostridiaceae at 6%.

A novice’s guide to analyzing NGS-derived organelle and metagenome data

  • Song, Hae Jung;Lee, JunMo;Graf, Louis;Rho, Mina;Qiu, Huan;Bhattacharya, Debashish;Yoon, Hwan Su
    • ALGAE
    • /
    • v.31 no.2
    • /
    • pp.137-154
    • /
    • 2016
  • Next generation sequencing (NGS) technologies have revolutionized many areas of biological research due to the sharp reduction in costs that has led to the generation of massive amounts of sequence information. Analysis of large genome data sets is however still a challenging task because it often requires significant computer resources and knowledge of bioinformatics. Here, we provide a guide for an uninitiated who wish to analyze high-throughput NGS data. We focus specifically on the analysis of organelle genome and metagenome data and describe the current bioinformatic pipelines suited for this purpose.

Selection and Characterization of Forest Soil Metagenome Genes Encoding Lipolytic Enzymes

  • Hong, Kyung-Sik;Lim, He-Kyoung;Chung, Eu-Jin;Park, Eun-Jin;Lee, Myung-Hwan;Kim, Jin-Cheol;Cho, Gyung-Ja;Cho, Kwang-Yun;Lee, Seon-Woo
    • Journal of Microbiology and Biotechnology
    • /
    • v.17 no.10
    • /
    • pp.1655-1660
    • /
    • 2007
  • A metagenome is a unique resource to search for novel microbial enzymes from the unculturable microorganisms in soil. A forest soil metagenomic library using a fosmid and soil microbial DNA from Gwangneung forest, Korea, was constructed in Escherichia coli and screened to select lipolytic genes. A total of seven unique lipolytic clones were selected by screening of the 31,000-member forest soil metagenome library based on tributyrin hydrolysis. The ORFs for lipolytic activity were subcloned in a high copy number plasmid by screening the secondary shortgun libraries from the seven clones. Since the lipolytic enzymes were well secreted in E. coli into the culture broth, the lipolytic activity of the subclones was confirmed by the hydrolysis of p-nitrophenyl butyrate using culture supernatant. Deduced amino acid sequence analysis of the identified ORFs for lipolytic activity revealed that 4 genes encode hormone-sensitive lipase (HSL) in lipase family IV. Phylogenetic analysis indicated that 4 proteins were clustered with HSL in the database and other metagenomic HSLs. The other 2 genes and 1 gene encode non-heme peroxidase-like enzymes of lipase family V and a GDSL family esterase/lipase in family II, respectively. The gene for the GDSL enzyme is the first description of the enzyme from metagenomic screening.

Characterization of a Soil Metagenome-Derived Gene Encoding Wax Ester Synthase

  • Kim, Nam Hee;Park, Ji-Hye;Chung, Eunsook;So, Hyun-Ah;Lee, Myung Hwan;Kim, Jin-Cheol;Hwang, Eul Chul;Lee, Seon-Woo
    • Journal of Microbiology and Biotechnology
    • /
    • v.26 no.2
    • /
    • pp.248-254
    • /
    • 2016
  • A soil metagenome contains the genomes of all microbes included in a soil sample, including those that cannot be cultured. In this study, soil metagenome libraries were searched for microbial genes exhibiting lipolytic activity and those involved in potential lipid metabolism that could yield valuable products in microorganisms. One of the subclones derived from the original fosmid clone, pELP120, was selected for further analysis. A subclone spanning a 3.3 kb DNA fragment was found to encode for lipase/esterase and contained an additional partial open reading frame encoding a wax ester synthase (WES) motif. Consequently, both pELP120 and the full length of the gene potentially encoding WES were sequenced. To determine if the wes gene encoded a functioning WES protein that produced wax esters, gas chromatography-mass spectroscopy was conducted using ethyl acetate extract from an Escherichia coli strain that expressed the wes gene and was grown with hexadecanol. The ethyl acetate extract from this E. coli strain did indeed produce wax ester compounds of various carbon-chain lengths. DNA sequence analysis of the full-length gene revealed that the gene cluster may be derived from a member of Proteobacteria, whereas the clone does not contain any clear phylogenetic markers. These results suggest that the wes gene discovered in this study encodes a functional protein in E. coli and produces wax esters through a heterologous expression system.

Metagenome, the Untapped Microbial Genome, toward Discovery of Novel Microbial Resources and Application into the Plant Pathology

  • Lee, Seon-Woo
    • The Plant Pathology Journal
    • /
    • v.21 no.2
    • /
    • pp.93-98
    • /
    • 2005
  • Molecular ecological studies of microbial communities revealed that only tiny fraction of total microorganisms in nature have been identified and characterized, because the majority of them have not been cultivated. A concept, metagenome, represents the total microbial genome in natural ecosystem consisting of genomes from both culturable microorganisms and viable but non-culturable bacteria. The construction and screening of metagenomic libraries in culturable bacteria constitute a valuable resource for obtaining novel microbial genes and products. Several novel enzymes and antibiotics have been identified from the metagenomic approaches in many different microbial communities. Phenotypic analysis of the introduced unknown genes in culturable bacteria could be an important way for functional genomics of unculturable bacteria. However, estimation of the number of clones required to uncover the microbial diversity from various environments has been almost impossible due to the enormous microbial diversity and various microbial population structure. Massive construction of metagenomic libraries and development of high throughput screening technology should be necessary to obtain valuable microbial resources. This paper presents the recent progress in metagenomic studies including our results and potential of metagenomics in plant pathology and agriculture.

Identification of Antibiotic Resistance Genes in Orofacial Abscesses Using a Metagenomics-based Approach: A Pilot Study

  • Yeeun Lee;Joo-Young Park;Youngnim Choi
    • Journal of Korean Dental Science
    • /
    • v.16 no.1
    • /
    • pp.35-46
    • /
    • 2023
  • Purpose: Culture-based methods for microbiological diagnosis and antibiotic susceptibility tests have limitations in the management of orofacial infections. We aimed to profile pus microbiota and identify antibiotic resistance genes (ARGs) using a culture-independent approach. Materials and Methods: Genomic DNA samples extracted from the pus specimens of two patients with orofacial abscesses were subjected to shotgun sequencing on the NovaSeq system. Taxonomic profiling and prediction of ARGs were performed directly from the metagenomic raw reads. Result: Taxonomic profiling revealed obligate anaerobic polymicrobial communities associated with infections of odontogenic origins: the microbial community of Patient 1 consisted of one predominant species (Prevotella oris 74.6%) with 27 minor species, while the sample from Patient 2 contained 3 abundant species (Porphyromonas endodontalis 33.0%; P. oris 31.6%; and Prevotella koreensis 13.4%) with five minor species. A total of 150 and 136 putative ARGs were predicted in the metagenome of each pus sample. The coverage of most predicted ARGs was less than 10%, and only the CfxA2 gene identified in Patient 1 was covered 100%. ARG analysis of the seven assembled genome/metagenome datasets of P. oris revealed that strain C735 carried the CfxA2 gene. Conclusion: A metagenomics-based approach is useful to profile predominantly anaerobic polymicrobial communities but needs further verification for reliable ARG detection.

Metagenomic SMRT Sequencing-Based Exploration of Novel Lignocellulose-Degrading Capability in Wood Detritus from Torreya nucifera in Bija Forest on Jeju Island

  • Oh, Han Na;Lee, Tae Kwon;Park, Jae Wan;No, Jee Hyun;Kim, Dockyu;Sul, Woo Jun
    • Journal of Microbiology and Biotechnology
    • /
    • v.27 no.9
    • /
    • pp.1670-1680
    • /
    • 2017
  • Lignocellulose, composed mostly of cellulose, hemicellulose, and lignin generated through secondary growth of woody plant, is considered as promising resources for biofuel. In order to use lignocellulose as a biofuel, biodegradation besides high-cost chemical treatments were applied, but knowledge on the decomposition of lignocellulose occurring in a natural environment is insufficient. We analyzed the 16S rRNA gene and metagenome to understand how the lignocellulose is decomposed naturally in decayed Torreya nucifera (L) of Bija forest (Bijarim) in Gotjawal, an ecologically distinct environment. A total of 464,360 reads were obtained from 16S rRNA gene sequencing, representing diverse phyla; Proteobacteria (51%), Bacteroidetes (11%) and Actinobacteria (10%). The metagenome analysis using single molecules real-time sequencing revealed that the assembled contigs determined originated from Proteobacteria (58%) and Actinobacteria (10.3%). Carbohydrate Active enZYmes (CAZy)- and Protein families (Pfam)-based analysis showed that Proteobacteria was involved in degrading whole lignocellulose, and Actinobacteria played a role only in a part of hemicellulose degradation. Combining these results, it suggested that Proteobacteria and Actinobacteria had selective biodegradation potential for different lignocellulose substrates. Thus, it is considered that understanding of the systemic microbial degradation pathways may be a useful strategy for recycle of lignocellulosic biomass, and the microbial enzymes in Bija forest can be useful natural resources in industrial processes.

Analysis of antibiotic resistance genes in pig feces during the weaning transition using whole metagenome shotgun sequencing

  • Gi Beom Keum;Eun Sol Kim;Jinho Cho;Minho Song;Kwang Kyo Oh;Jae Hyoung Cho;Sheena Kim;Hyeri Kim;Jinok Kwak;Hyunok Doo;Sriniwas Pandey;Hyeun Bum Kim;Ju-Hoon Lee
    • Journal of Animal Science and Technology
    • /
    • v.65 no.1
    • /
    • pp.175-182
    • /
    • 2023
  • Antibiotics have been used in livestock production for not only treatment but also for increasing the effectiveness of animal feed, aiding animal growth, and preventing infectious diseases at the time when immunity is lowered due to stress. South Korea and the EU are among the countries that have prohibited the use of antibiotics for growth promotion in order to prevent indiscriminate use of antibiotics, as previous studies have shown that it may lead to increase in cases of antibiotic-resistant bacteria. Therefore, this study evaluated the number of antibiotic resistance genes in piglets staging from pre-weaning to weaning. Fecal samples were collected from 8 piglets just prior to weaning (21 d of age) and again one week after weaning (28 d of age). Total DNA was extracted from the 200 mg of feces collected from the 8 piglets. Whole metagenome shotgun sequencing was carried out using the Illumina Hi-Seq 2000 platform and raw sequence data were imported to Metagenomics Rapid Annotation using Subsystem Technology (MG-RAST) pipeline for microbial functional analysis. The results of this study did not show an increase in antibiotic-resistant bacteria although confirmed an increase in antibiotic-resistant genes as the consequence of changes in diet and environment during the experiment.

Cloning and Characterization of a Novel ${\alpha}$-Amylase from a Fecal Microbial Metagenome

  • Xu, Bo;Yang, Fuya;Xiong, Caiyun;Li, Junjun;Tang, Xianghua;Zhou, Junpei;Xie, Zhenrong;Ding, Junmei;Yang, Yunjuan;Huang, Zunxi
    • Journal of Microbiology and Biotechnology
    • /
    • v.24 no.4
    • /
    • pp.447-452
    • /
    • 2014
  • To isolate novel and useful microbial enzymes from uncultured gastrointestinal microorganisms, a fecal microbial metagenomic library of the pygmy loris was constructed. The library was screened for amylolytic activity, and 8 of 50,000 recombinant clones showed amylolytic activity. Subcloning and sequence analysis of a positive clone led to the identification a novel gene (amyPL) coding for ${\alpha}$-amylase. AmyPL was expressed in Escherichia coli BL21 (DE3) and the purified AmyPL was enzymatically characterized. This study is the first to report the molecular and biochemical characterization of a novel ${\alpha}$-amylase from a gastrointestinal metagenomic library.