2021
DOI: 10.1186/s12864-021-07607-0
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Long-read metagenomics retrieves complete single-contig bacterial genomes from canine feces

Abstract: Background Long-read sequencing in metagenomics facilitates the assembly of complete genomes out of complex microbial communities. These genomes include essential biologic information such as the ribosomal genes or the mobile genetic elements, which are usually missed with short-reads. We applied long-read metagenomics with Nanopore sequencing to retrieve high-quality metagenome-assembled genomes (HQ MAGs) from a dog fecal sample. Results We used n… Show more

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Cited by 45 publications
(37 citation statements)
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“…Additionally, multiple genes and non-coding regions have often been deciphered in one single long read, thus revealing the actual genomic structures which consequently contributed to assembling the high-quality metagenome-assembled genomes (MAGs) from metagenomic samples ( Overholt et al, 2020 ; Xie et al, 2020 ; Ciuffreda et al, 2021 ). Complete and circular genomes were reported from long-read metagenomic studies, with and without coupling with short-read data for error-corrections ( Moss et al, 2020 ; Cuscó et al, 2021 ). The MAGs generated with long-read data were much longer, if not complete, hence recovering more genomic elements as well as the gene arrangements which are useful for accurate strain tracking and providing more meaningful insights to the functions of the metagenomes ( Quick, 2019 ; Haro-Moreno et al, 2020 ; Maguire et al, 2021 ).…”
Section: Introductionmentioning
confidence: 99%
“…Additionally, multiple genes and non-coding regions have often been deciphered in one single long read, thus revealing the actual genomic structures which consequently contributed to assembling the high-quality metagenome-assembled genomes (MAGs) from metagenomic samples ( Overholt et al, 2020 ; Xie et al, 2020 ; Ciuffreda et al, 2021 ). Complete and circular genomes were reported from long-read metagenomic studies, with and without coupling with short-read data for error-corrections ( Moss et al, 2020 ; Cuscó et al, 2021 ). The MAGs generated with long-read data were much longer, if not complete, hence recovering more genomic elements as well as the gene arrangements which are useful for accurate strain tracking and providing more meaningful insights to the functions of the metagenomes ( Quick, 2019 ; Haro-Moreno et al, 2020 ; Maguire et al, 2021 ).…”
Section: Introductionmentioning
confidence: 99%
“…As with other genomic, transcriptomic and epigenomic areas, microbiome analyses (microbiomics) require appropriate bioinformatics tools [184]. TGS is particularly useful in metagenomic analyses, since it can be used to generate almost or even complete genomes with single reads, significantly reducing or not requiring contig assembly [185]. Therefore, TGS platforms are being used to find microorganisms present in human microbiomes, foodstuff and beverages like milk, aquaculture, soil and many other ecological niches, allowing to identify both beneficial and pathogenic microorganisms [186][187][188], including serotypes with closely related, or even the same, antigenic formulae [189].…”
Section: Metagenomicsmentioning
confidence: 99%
“…With respect to metabarcoding, the ONT MinION platform has been successfully applied in several studies, including the characterization of bacterial mock communities [25,27,28]; microbiota profiling of species and tissues such as dog skin [29], canine feces [30], equine gut [31], water buffalo milk [32], sea louse [33], and microalgae [34]; identification of fungi [35]; and characterization of plastic-associated species in the Mediterranean sea [36]. Additionally, metagenetic analyses of environmental samples obtained from glacial regions [37], aquatic environments (e.g., ocean water column [38], river water [39], wastewater [40], and freshwater [41]), building dust [22], and the International Space Station [42] demonstrate the potential and applicability of nanopore sequencing for microorganism detection across diverse environments and field settings.…”
Section: Introductionmentioning
confidence: 99%