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1.
Methods Mol Biol ; 2601: 379-401, 2023.
Article in English | MEDLINE | ID: mdl-36445596

ABSTRACT

The construction and screening of metagenomic expression libraries have a great potential to identify novel genes with desired functions. Here, we describe metagenomic library preparation from fecal DNA, screening of libraries for antibiotic resistance genes (ARGs), massively parallel DNA sequencing of the enriched DNA fragments, and a computational pipeline for high-throughput assembly and annotation of functionally selected DNA.


Subject(s)
Metagenome , Metagenomics , Drug Resistance, Microbial/genetics , Gene Library , Sequence Analysis, DNA
2.
Nat Commun ; 13(1): 7485, 2022 12 05.
Article in English | MEDLINE | ID: mdl-36470885

ABSTRACT

International travel contributes to the global spread of antimicrobial resistance. Travelers' diarrhea exacerbates the risk of acquiring multidrug-resistant organisms and can lead to persistent gastrointestinal disturbance post-travel. However, little is known about the impact of diarrhea on travelers' gut microbiomes, and the dynamics of these changes throughout travel. Here, we assembled a cohort of 159 international students visiting the Andean city of Cusco, Peru and applied next-generation sequencing techniques to 718 longitudinally-collected stool samples. We find that gut microbiome composition changed significantly throughout travel, but taxonomic diversity remained stable. However, diarrhea disrupted this stability and resulted in an increased abundance of antimicrobial resistance genes that can remain high for weeks. We also identified taxa differentially abundant between diarrheal and non-diarrheal samples, which were used to develop a classification model that distinguishes between these disease states. Additionally, we sequenced the genomes of 212 diarrheagenic Escherichia coli isolates and found those from travelers who experienced diarrhea encoded more antimicrobial resistance genes than those who did not. In this work, we find the gut microbiomes of international travelers' are resilient to dysbiosis; however, they are also susceptible to colonization by multidrug-resistant bacteria, a risk that is more pronounced in travelers with diarrhea.


Subject(s)
Escherichia coli Infections , Gastrointestinal Microbiome , Humans , Diarrhea/microbiology , Gastrointestinal Microbiome/genetics , Travel , Escherichia coli Infections/microbiology , Escherichia coli , Anti-Bacterial Agents/pharmacology , Anti-Bacterial Agents/therapeutic use
3.
Genome Med ; 13(1): 79, 2021 06 07.
Article in English | MEDLINE | ID: mdl-34092249

ABSTRACT

BACKGROUND: Antimicrobial-resistant bacteria and their antimicrobial resistance (AMR) genes can spread by hitchhiking in human guts. International travel can exacerbate this public health threat when travelers acquire AMR genes endemic to their destinations and bring them back to their home countries. Prior studies have demonstrated travel-related acquisition of specific opportunistic pathogens and AMR genes, but the extent and magnitude of travel's effects on the gut resistome remain largely unknown. METHODS: Using whole metagenomic shotgun sequencing, functional metagenomics, and Dirichlet multinomial mixture models, we investigated the abundance, diversity, function, resistome architecture, and context of AMR genes in the fecal microbiomes of 190 Dutch individuals, before and after travel to diverse international locations. RESULTS: Travel markedly increased the abundance and α-diversity of AMR genes in the travelers' gut resistome, and we determined that 56 unique AMR genes showed significant acquisition following international travel. These acquisition events were biased towards AMR genes with efflux, inactivation, and target replacement resistance mechanisms. Travel-induced shaping of the gut resistome had distinct correlations with geographical destination, so individuals returning to The Netherlands from the same destination country were more likely to have similar resistome features. Finally, we identified and detailed specific acquisition events of high-risk, mobile genetic element-associated AMR genes including qnr fluoroquinolone resistance genes, blaCTX-M family extended-spectrum ß-lactamases, and the plasmid-borne mcr-1 colistin resistance gene. CONCLUSIONS: Our results show that travel shapes the architecture of the human gut resistome and results in AMR gene acquisition against a variety of antimicrobial drug classes. These broad acquisitions highlight the putative risks that international travel poses to public health by gut resistome perturbation and the global spread of locally endemic AMR genes.


Subject(s)
Bacteria/classification , Bacteria/drug effects , Bacteria/genetics , Bacterial Infections/epidemiology , Bacterial Infections/microbiology , Drug Resistance, Microbial , Travel-Related Illness , Computational Biology/methods , Databases, Genetic , Gastrointestinal Microbiome/drug effects , Humans , Metagenome , Metagenomics , Netherlands/epidemiology , Public Health Surveillance , beta-Lactamases/genetics
4.
mBio ; 12(3)2021 05 11.
Article in English | MEDLINE | ID: mdl-33975936

ABSTRACT

In agricultural settings, microbes and antimicrobial resistance genes (ARGs) have the potential to be transferred across diverse environments and ecosystems. The consequences of these microbial transfers are unclear and understudied. On dairy farms, the storage of cow manure in manure pits and subsequent application to field soil as a fertilizer may facilitate the spread of the mammalian gut microbiome and its associated ARGs to the environment. To determine the extent of both taxonomic and resistance similarity during these transitions, we collected fresh manure, manure from pits, and field soil across 15 different dairy farms for three consecutive seasons. We used a combination of shotgun metagenomic sequencing and functional metagenomics to quantitatively interrogate taxonomic and ARG compositional variation on farms. We found that as the microbiome transitions from fresh dairy cow manure to manure pits, microbial taxonomic compositions and resistance profiles experience distinct restructuring, including decreases in alpha diversity and shifts in specific ARG abundances that potentially correspond to fresh manure going from a gut-structured community to an environment-structured community. Further, we did not find evidence of shared microbial community or a transfer of ARGs between manure and field soil microbiomes. Our results suggest that fresh manure experiences a compositional change in manure pits during storage and that the storage of manure in manure pits does not result in a depletion of ARGs. We did not find evidence of taxonomic or ARG restructuring of soil microbiota with the application of manure to field soils, as soil communities remained resilient to manure-induced perturbation.IMPORTANCE The addition of dairy cow manure-stored in manure pits-to field soil has the potential to introduce not only organic nutrients but also mammalian microbial communities and antimicrobial resistance genes (ARGs) to soil communities. Using shotgun sequencing paired with functional metagenomics, we showed that microbial community composition changed between fresh manure and manure pit samples with a decrease in gut-associated pathobionts, while ARG abundance and diversity remained high. However, field soil communities were distinct from those in manure in both microbial taxonomic and ARG composition. These results broaden our understanding of the transfer of microbial communities in agricultural settings and suggest that field soil microbial communities are resilient against the deposition of ARGs or microbial communities from manure.


Subject(s)
Anti-Bacterial Agents/pharmacology , Manure/microbiology , Metagenomics , Microbiota/drug effects , Microbiota/genetics , Soil Microbiology , Agriculture , Animals , Cattle , Dairying , Drug Resistance, Microbial/genetics , Farms , Female , Genes, Bacterial , Metagenome , Seasons
5.
Nat Commun ; 11(1): 1427, 2020 03 18.
Article in English | MEDLINE | ID: mdl-32188862

ABSTRACT

Anthropogenic environments have been implicated in enrichment and exchange of antibiotic resistance genes and bacteria. Here we study the impact of confined and controlled swine farm environments on temporal changes in the gut microbiome and resistome of veterinary students with occupational exposure for 3 months. By analyzing 16S rRNA and whole metagenome shotgun sequencing data in tandem with culture-based methods, we show that farm exposure shapes the gut microbiome of students, resulting in enrichment of potentially pathogenic taxa and antimicrobial resistance genes. Comparison of students' gut microbiomes and resistomes to farm workers' and environmental samples revealed extensive sharing of resistance genes and bacteria following exposure and after three months of their visit. Notably, antibiotic resistance genes were found in similar genetic contexts in student samples and farm environmental samples. Dynamic Bayesian network modeling predicted that the observed changes partially reverse over a 4-6 month period. Our results indicate that acute changes in a human's living environment can persistently shape their gut microbiota and antibiotic resistome.


Subject(s)
Anti-Bacterial Agents/pharmacology , Bacteria/drug effects , Drug Resistance, Bacterial , Gastrointestinal Microbiome , Swine/microbiology , Adult , Animals , Bacteria/classification , Bacteria/genetics , Bacteria/isolation & purification , Farms , Gastrointestinal Tract/microbiology , Humans , Male , Occupational Exposure , Schools, Veterinary , Students/statistics & numerical data , Young Adult
6.
Nat Rev Genet ; 20(6): 356-370, 2019 06.
Article in English | MEDLINE | ID: mdl-30886350

ABSTRACT

Antimicrobial resistance extracts high morbidity, mortality and economic costs yearly by rendering bacteria immune to antibiotics. Identifying and understanding antimicrobial resistance are imperative for clinical practice to treat resistant infections and for public health efforts to limit the spread of resistance. Technologies such as next-generation sequencing are expanding our abilities to detect and study antimicrobial resistance. This Review provides a detailed overview of antimicrobial resistance identification and characterization methods, from traditional antimicrobial susceptibility testing to recent deep-learning methods. We focus on sequencing-based resistance discovery and discuss tools and databases used in antimicrobial resistance studies.


Subject(s)
Bacteria/drug effects , Drug Resistance, Multiple, Bacterial/genetics , Genome, Bacterial , High-Throughput Nucleotide Sequencing/methods , Sequence Analysis, DNA/statistics & numerical data , Whole Genome Sequencing/methods , Anti-Bacterial Agents/pharmacology , Bacteria/classification , Bacteria/genetics , Bacteria/isolation & purification , Bacterial Infections/drug therapy , Bacterial Infections/microbiology , Base Sequence , High-Throughput Nucleotide Sequencing/instrumentation , Humans , Machine Learning , Metagenomics , Sequence Analysis, DNA/methods , Whole Genome Sequencing/instrumentation
7.
mSystems ; 3(3)2018.
Article in English | MEDLINE | ID: mdl-29963641

ABSTRACT

Environmental microbes have harbored the capacity for antibiotic production for millions of years, spanning the evolution of humans and other vertebrates. However, the industrial-scale use of antibiotics in clinical and agricultural practice over the past century has led to a substantial increase in exposure of these agents to human and environmental microbiota. This perturbation is predicted to alter the ecology of microbial communities and to promote the evolution and transfer of antibiotic resistance (AR) genes. We studied wild and captive baboon populations to understand the effects of exposure to humans and human activities (e.g., antibiotic therapy) on the composition of the primate fecal microbiota and the antibiotic-resistant genes that it collectively harbors (the "resistome"). Using a culture-independent metagenomic approach, we identified functional antibiotic resistance genes in the gut microbiota of wild and captive baboon groups and saw marked variation in microbiota architecture and resistomes across habitats and lifeways. Our results support the view that antibiotic resistance is an ancient feature of gut microbial communities and that sharing habitats with humans may have important effects on the structure and function of the primate microbiota. IMPORTANCE Antibiotic exposure results in acute and persistent shifts in the composition and function of microbial communities associated with vertebrate hosts. However, little is known about the state of these communities in the era before the widespread introduction of antibiotics into clinical and agricultural practice. We characterized the fecal microbiota and antibiotic resistomes of wild and captive baboon populations to understand the effect of human exposure and to understand how the primate microbiota may have been altered during the antibiotic era. We used culture-independent and bioinformatics methods to identify functional resistance genes in the guts of wild and captive baboons and show that exposure to humans is associated with changes in microbiota composition and resistome expansion compared to wild baboon groups. Our results suggest that captivity and lifestyle changes associated with human contact can lead to marked changes in the ecology of primate gut communities.

8.
Methods Mol Biol ; 1520: 307-329, 2017.
Article in English | MEDLINE | ID: mdl-27873261

ABSTRACT

The construction and screening of metagenomic expression libraries has great potential to identify novel genes and their functions. Here, we describe metagenomic library preparation from fecal DNA, screening of libraries for antibiotic resistance genes (ARGs), massively parallel DNA sequencing of the enriched DNA fragments, and a computational pipeline for high-throughput assembly and annotation of functionally selected DNA.


Subject(s)
Drug Resistance, Microbial/genetics , Metagenomics/methods , Anti-Bacterial Agents/pharmacology , Computational Biology , DNA/metabolism , Drug Resistance, Microbial/drug effects , Sequence Analysis, DNA
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