• Title/Summary/Keyword: Metagenomic Sequencing

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Microbiological Characteristics of Gouda Cheese Manufactured with Pasteurized and Raw Milk during Ripening Using Next Generation Sequencing

  • Park, Wonseo;Yoo, Jayeon;Oh, Sangnam;Ham, Jun-sang;Jeong, Seok-geun;Kim, Younghoon
    • Food Science of Animal Resources
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    • v.39 no.4
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    • pp.585-600
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    • 2019
  • Gouda cheese, one of most popular cheeses in the Korea, has been produced from only pasteurized milk in Korean dairy farms. Recently, it has become legally possible to produce ripened cheese manufactured with raw milk in Korea. In the present study, we investigated the physico-chemical and microbiological characteristics of Gouda cheese manufactured with raw (R-GC) or pasteurized milk (P-GC) during manufacturing and ripening. Particularly, this study characterized the bacterial community structure of two cheese types, which are produced without pasteurization during ripening based on next generation sequencing of 16S rRNA gene amplicons. During ripening, protein and fat content increased slightly, whereas moisture content decreased in both P-GC and R-GC. At the 6 wk of ripening, R-GC became softer and smoother and hence, the values of hardness and gumminess, chewiness in R-GC was lower than that of P-GC. Metagenomic analysis revealed that the bacterial genera used a starter cultures, namely Lactococcus and Leuconostoc were predominant in both P-GC and R-GC. Moreover, in R-GC, the proportion of coliform bacteria such as Escherichia, Leclercia, Raoultella, and Pseudomonas were detected initially but not during ripening. Taken together, our finding indicates the potential of manufacturing with Gouda cheese from raw milk and the benefits of next generation sequencing for microbial community composition during cheese ripening.

Metagenomic Approach to Identifying Foodborne Pathogens on Chinese Cabbage

  • Kim, Daeho;Hong, Sanghyun;Kim, You-Tae;Ryu, Sangryeol;Kim, Hyeun Bum;Lee, Ju-Hoon
    • Journal of Microbiology and Biotechnology
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    • v.28 no.2
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    • pp.227-235
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    • 2018
  • Foodborne illness represents a major threat to public health and is frequently attributed to pathogenic microorganisms on fresh produce. Recurrent outbreaks often come from vegetables that are grown close to or within the ground. Therefore, the first step to understanding the public health risk of microorganisms on fresh vegetables is to identify and describe microbial communities. We investigated the phyllospheres on Chinese cabbage (Brassica rapa subsp. pekinensis, N = 54). 16S rRNA gene amplicon sequencing targeting the V5-V6 region of 16S rRNA genes was conducted by employing the Illumina MiSeq system. Sequence quality was assessed, and phylogenetic assessments were performed using the RDP classifier implemented in QIIME with a bootstrap cutoff of 80%. Principal coordinate analysis was performed using a weighted Fast UniFrac matrix. The average number of sequence reads generated per sample was 34,584. At the phylum level, bacterial communities were composed primarily of Proteobacteria and Bacteroidetes. The most abundant genera on Chinese cabbages were Chryseobacterium, Aurantimonadaceae_g, Sphingomonas, and Pseudomonas. Diverse potential pathogens, such as Pantoea, Erwinia, Klebsiella, Yersinia, Bacillus, Staphylococcus, Salmonella, and Clostridium were also detected from the samples. Although further epidemiological studies will be required to determine whether the detected potential pathogens are associated with foodborne illness, our results imply that a metagenomic approach can be used to detect pathogenic bacteria on fresh vegetables.

Metagenomic Analysis of Airborne Bacteria Community and Diversity in Gyeonggi-do, Korea, during March 2016, Asian Dust Event (2016년 한국 경기도의 3월 황사기간 동안 부유세균 군집과 다양성에 대한 메타지노믹 분석)

  • Jang, Jun Hyeong;Kim, Ji Hye;Bae, Kyung-seon;Kim, Jeong Myeong;Lee, Won seok;Chung, Hyen-mi;Park, Sangjung;Seo, Taegun
    • Journal of Environmental Health Sciences
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    • v.43 no.6
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    • pp.491-498
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    • 2017
  • Objective: Bacterial abundance and community compositions have been examined in Asian dust events, clarifying their impacts on public health. This study aims to determine the bacterial community compositions and viable bacteria in Asian dust particles in the Asian dust or non-Asian dust event of March 2016. Methods: The dust samples were collected using the high volume air sampler or high volume cascade impactor, and bacterial 16S rRNA genes were amplified using PCR, followed by pyrosequencing. Bacterial diversity index, richness estimate and community composition in the particles were analyzed from the sequencing data using Mothur software. Results: The results showed that the diversity and richness during Asian dust events were higher than them in non-Asian dust events. The total bacterial community analysis showed that at the phylum Proteobacteria, Actinobacteria and Firmicutes were the most dominant of Asian dust events and non-Asian dust events. In addition, the bacterial colony counts were higher during Asian dust event, comparing with non-Asian dust event. Conclusions: This study showed that bacterial community and richness of Asian dust samples was more complex and higher than non-Asian dust samples in Gyeonggi-do, Korea, which could affect public health and environment. Thus, the continuous monitoring of Asian dust could be an alternative for managing airborne bacteria.

Prebiotics enhance the biotransformation and bioavailability of ginsenosides in rats by modulating gut microbiota

  • Zhang, Xiaoyan;Chen, Sha;Duan, Feipeng;Liu, An;Li, Shaojing;Zhong, Wen;Sheng, Wei;Chen, Jun;Xu, Jiang;Xiao, Shuiming
    • Journal of Ginseng Research
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    • v.45 no.2
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    • pp.334-343
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    • 2021
  • Background: Gut microbiota mainly function in the biotransformation of primary ginsenosides into bioactive metabolites. Herein, we investigated the effects of three prebiotic fibers by targeting gut microbiota on the metabolism of ginsenoside Rb1 in vivo. Methods: Sprague Dawley rats were administered with ginsenoside Rb1 after a two-week prebiotic intervention of fructooligosaccharide, galactooligosaccharide, and fibersol-2, respectively. Pharmacokinetic analysis of ginsenoside Rb1 and its metabolites was performed, whilst the microbial composition and metabolic function of gut microbiota were examined by 16S rRNA gene amplicon and metagenomic shotgun sequencing. Results: The results showed that peak plasma concentration and area under concentration time curve of ginsenoside Rb1 and its intermediate metabolites, ginsenoside Rd, F2, and compound K (CK), in the prebiotic intervention groups were increased at various degrees compared with those in the control group. Gut microbiota dramatically responded to the prebiotic treatment at both taxonomical and functional levels. The abundance of Prevotella, which possesses potential function to hydrolyze ginsenoside Rb1 into CK, was significantly elevated in the three prebiotic groups (P < 0.05). The gut metagenomic analysis also revealed the functional gene enrichment for terpenoid/polyketide metabolism, glycolysis, gluconeogenesis, propanoate metabolism, etc. Conclusion: These findings imply that prebiotics may selectively promote the proliferation of certain bacterial stains with glycoside hydrolysis capacity, thereby, subsequently improving the biotransformation and bioavailability of primary ginsenosides in vivo.

Changes in planktonic bivalve larvae of Tegillarca granosa and Anadara kagoshimensis in the Boseong coastal waters of South Korea (보성 연안해역에서 꼬막과 새꼬막 부유유생 출현의 변화)

  • Kim, Hyun-Jung;Kang, JunSu;Jung, Seung Won;Park, Yong-Joo
    • Korean Journal of Environmental Biology
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    • v.37 no.3
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    • pp.351-361
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    • 2019
  • To investigate the temporal distribution of planktonic larvae of Tegillarca granosa and Anadara kagoshimensis in the Boseong coastal waters of South Korea, samples of planktonic bivalve larvae were taken from the coastal waters from June to September 2018 (this consisted of monthly sampling in June, July, and September with three- or four-day interval sampling in August). The samples were analyzed using metagenomic next-generation sequencing methods (target gene: mitochondria cytochrome c oxidase 1 region). In this study, a total of 21 bivalve operational taxonomic units (OTUs) were detected with the most abundant bivalve OTUs (relative mean abundance >1%) belonging to Magallana sikamea, Xenostrobus atratus, Musculista senhousia, Magallana gigas, Sinonovacula constricta, Anadara kagoshimensis, Kurtiella aff. bidentata, and Tegillarca granosa. In particular, Tegillarca granosa and Anadara kagoshimensis (the main fishery resources on the Boseong coast) accounted for 0.51-12.50% (average 4.00%) and 0.01-12.50% (1.92%), respectively. The planktonic bivalve larvae were most abundant from July to August. Anadara kagoshimensis was most abundant in early August but rare in the other investigated periods, whereas Tegillarca granosa was more abundant in late August. Bivalve larvae monitoring is important to predict the production of bivalve fisheries. Therefore, intensive monitoring is needed to understand the changes in planktonic bivalve larvae because potentially rapid turnover can respond to the ecological interaction of spawning bivalves.

Metagenomic analysis of bacterial community structure and diversity of lignocellulolytic bacteria in Vietnamese native goat rumen

  • Do, Thi Huyen;Dao, Trong Khoa;Nguyen, Khanh Hoang Viet;Le, Ngoc Giang;Nguyen, Thi Mai Phuong;Le, Tung Lam;Phung, Thu Nguyet;Straalen, Nico M. van;Roelofs, Dick;Truong, Nam Hai
    • Asian-Australasian Journal of Animal Sciences
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    • v.31 no.5
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    • pp.738-747
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    • 2018
  • Objective: In a previous study, analysis of Illumina sequenced metagenomic DNA data of bacteria in Vietnamese goats' rumen showed a high diversity of putative lignocellulolytic genes. In this study, taxonomy speculation of microbial community and lignocellulolytic bacteria population in the rumen was conducted to elucidate a role of bacterial structure for effective degradation of plant materials. Methods: The metagenomic data had been subjected into Basic Local Alignment Search Tool (BLASTX) algorithm and the National Center for Biotechnology Information non-redundant sequence database. Here the BLASTX hits were further processed by the Metagenome Analyzer program to statistically analyze the abundance of taxa. Results: Microbial community in the rumen is defined by dominance of Bacteroidetes compared to Firmicutes. The ratio of Firmicutes versus Bacteroidetes was 0.36:1. An abundance of Synergistetes was uniquely identified in the goat microbiome may be formed by host genotype. With regard to bacterial lignocellulose degraders, the ratio of lignocellulolytic genes affiliated with Firmicutes compared to the genes linked to Bacteroidetes was 0.11:1, in which the genes encoding putative hemicellulases, carbohydrate esterases, polysaccharide lyases originated from Bacteroidetes were 14 to 20 times higher than from Firmicutes. Firmicutes seem to possess more cellulose hydrolysis capacity showing a Firmicutes/Bacteroidetes ratio of 0.35:1. Analysis of lignocellulolytic potential degraders shows that four species belonged to Bacteroidetes phylum, while two species belonged to Firmicutes phylum harbouring at least 12 different catalytic domains for all lignocellulose pretreatment, cellulose, as well as hemicellulose saccharification. Conclusion: Based on these findings, we speculate that increasing the members of Bacteroidetes to keep a low ratio of Firmicutes versus Bacteroidetes in goat rumen has resulted most likely in an increased lignocellulose digestion.

High-throughput sequencing-based metagenomic and transcriptomic analysis of intestine in piglets infected with salmonella

  • KyeongHye, Won;Dohyun, Kim;Donghyun, Shin;Jin, Hur;Hak-Kyo, Lee;Jaeyoung, Heo;Jae-Don, Oh
    • Journal of Animal Science and Technology
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    • v.64 no.6
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    • pp.1144-1172
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    • 2022
  • Salmonella enterica serovar Typhimurium isolate HJL777 is a virulent bacterial strain in pigs. The high rate of salmonella infection are at high risk of non-typhoidal salmonella gastroenteritis development. Salmonellosis is most common in young pigs. We investigated changes in gut microbiota and biological function in piglets infected with salmonella via analysis of rectal fecal metagenome and intestinal transcriptome using 16S rRNA and RNA sequencing. We identified a decrease in Bacteroides and increase in harmful bacteria such as Spirochaetes and Proteobacteria by microbial community analysis. We predicted that reduction of Bacteroides by salmonella infection causes proliferation of salmonella and harmful bacteria that can cause an intestinal inflammatory response. Functional profiling of microbial communities in piglets with salmonella infection showed increasing lipid metabolism associated with proliferation of harmful bacteria and inflammatory responses. Transcriptome analysis identified 31 differentially expressed genes. Using gene ontology and Innate Immune Database analysis, we identified that BGN, DCN, ZFPM2 and BPI genes were involved in extracellular and immune mechanisms, specifically salmonella adhesion to host cells and inflammatory responses during infection. We confirmed alterations in gut microbiota and biological function during salmonella infection in piglets. Our findings will help prevent disease and improve productivity in the swine industry.

Decoding the intestinal microbiota repertoire of sow and weaned pigs using culturomic and metagenomic approaches

  • Mun, Daye;Kim, Hayoung;Shin, Minhye;Ryu, Sangdon;Song, Minho;Oh, Sangnam;Kim, Younghoon
    • Journal of Animal Science and Technology
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    • v.63 no.6
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    • pp.1423-1432
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    • 2021
  • To elucidate the role and mechanism of microbes, we combined culture-dependent and culture-independent approaches to investigate differences in gut bacterial composition between sows and weaned pigs. Under anaerobic conditions, several nonselective and selective media were used for isolation from fecal samples. All isolated bacteria were identified and classified through 16S rRNA sequencing, and the microbiota composition of the fecal samples was analyzed by metagenomics using next generation sequencing (NGS) technology. A total of 278 and 149 colonies were acquired from the sow and weaned pig fecal samples, respectively. Culturomics analysis revealed that diverse bacterial genus and species belonged to Firmicutes, Actinobacteria, Proteobacteria, and Bacteroidetes were isolated from sow and weaned pigs. When comparing culture-dependent and culture-independent analyses, 191 bacterial species and 2 archaeal bacterial species were detected through culture-independent analysis, and a total of 23 bacteria were isolated through a culture-dependent approach, of which 65% were not detected by metagenomics. In conclusion, culturomics and metagenomics should be properly combined to fully understand the intestinal microbiota, and livestock-derived microbial resources should be informed by culturomic approaches to understand and utilize the mechanism of host-microbe interactions.

Genome-Based Virus Taxonomy with the ICTV Database Extension

  • Kang, Shinduck;Kim, Young-Chang
    • Genomics & Informatics
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    • v.16 no.4
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    • pp.22.1-22.5
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    • 2018
  • In 1966, the International Classification of Viruses (ICNV) was established to standardize the naming of viruses. In 1975, the organization was renamed "International Committee on Taxonomy of Viruses (ICTV)," by which it is still known today. The primary virus classification provided by ICTV in 1971 was for viruses infecting vertebrates, which includes 19 genera, 2 families, and 24 unclassified groups. Presently, the 10th virus taxonomy has been published. However, the early classification of viruses was based on clinical results "in vivo" and "in vitro," as well as on the shape of the Phenotype virus. Due to the development of next-generation sequencing and the accompanying bioinformatics analysis pipelines, a reconstruction of the classification system has been proposed. At a meeting held in Boston, USA between June 9-11, 2016, there was even an in-depth discussion regarding the classification of viruses using metagenomic data. One suggested activity that arose from the meeting was that viral taxonomy should be reconstructed, based on genotype and bioinformatics analysis "in silico." This article describes our efforts to achieve this goal by construction of a web-based system and the extension of an associated database, based on ICTV taxonomy. This virus taxonomy web system was designed specifically to extend the virus taxonomy up to strain and isolation, which was then connected with the NCBI database to facilitate searches for specific viral genes; there are also links to journals provided by the EMBL RESTful API that improves accessibility for academic groups.

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
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    • v.16 no.1
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    • pp.35-46
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    • 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.