scholarly journals MetaCRAST: Reference-guided extraction of CRISPR spacers from unassembled metagenomes

Author(s):  
Abraham G Moller ◽  
Chun Liang

Summary: Clustered regularly interspaced palindromic repeat (CRISPR) systems are prokaryotic adaptive immune systems against phage infection. CRISPR spacer sequences can provide valuable ecological insights by linking environmental viruses to their microbial hosts. Despite this importance, metagenomic CRISPR detection remains a major challenge. Here we present a reference-guided CRISPR detection tool (Metagenomic CRISPR Reference-Aided Search Tool - MetaCRAST) that constrains searches based on user-specified direct repeats. These DRs could be expected from assembly or taxonomic profiles of metagenomic sequence data. Our evaluation shows MetaCRAST improves CRISPR spacer detection in real metagenomes compared to de novo detection methods. Simulations show it performs better than comparable tools when analyzing Illumina metagenomes. Availability and implementation: MetaCRAST is implemented in Perl and takes metagenomic sequence reads and direct repeat queries in FASTA format as input. It is freely available for download at https://github.com/molleraj/MetaCRAST .

2016 ◽  
Author(s):  
Abraham G Moller ◽  
Chun Liang

Summary: Clustered regularly interspaced palindromic repeat (CRISPR) systems are prokaryotic adaptive immune systems against viral infection. CRISPR spacer sequences can provide valuable ecological insights by linking environmental viruses to microbial hosts. Despite this importance, metagenomic CRISPR detection remains a major challenge. Here we present a reference-guided CRISPR spacer detection tool (Metagenomic CRISPR Reference-Aided Search Tool - MetaCRAST) that constrains searches based on user-specified direct repeats (DRs). These DRs could be expected from assembly or taxonomic profiles of metagenomes. Our evaluation shows MetaCRAST improves CRISPR spacer detection in real metagenomes compared to de novo CRISPR detection methods. Simulations show it performs better than de novo tools for Illumina metagenomes. Availability and implementation: MetaCRAST is implemented in Perl and takes metagenomic sequence reads and direct repeat queries (FASTA) as input. It is freely available for download at https://github.com/molleraj/MetaCRAST.


2017 ◽  
Author(s):  
Abraham G Moller ◽  
Chun Liang

Summary: Clustered regularly interspaced palindromic repeat (CRISPR) systems are prokaryotic adaptive immune systems against viral infection. CRISPR spacer sequences can provide valuable ecological insights by linking environmental viruses to microbial hosts. Despite this importance, metagenomic CRISPR detection remains a major challenge. Here we present a reference-guided CRISPR spacer detection tool (Metagenomic CRISPR Reference-Aided Search Tool - MetaCRAST) that constrains searches based on user-specified direct repeats (DRs). These DRs could be expected from assembly or taxonomic profiles of metagenomes. Our evaluation shows MetaCRAST improves CRISPR spacer detection in real metagenomes compared to de novo CRISPR detection methods. Simulations show it performs better than de novo tools for Illumina metagenomes. Availability and implementation: MetaCRAST is implemented in Perl and takes metagenomic sequence reads and direct repeat queries (FASTA) as input. It is freely available for download at https://github.com/molleraj/MetaCRAST.[p]


PeerJ ◽  
2017 ◽  
Vol 5 ◽  
pp. e3788 ◽  
Author(s):  
Abraham G. Moller ◽  
Chun Liang

Clustered regularly interspaced short palindromic repeat (CRISPR) systems are the adaptive immune systems of bacteria and archaea against viral infection. While CRISPRs have been exploited as a tool for genetic engineering, their spacer sequences can also provide valuable insights into microbial ecology by linking environmental viruses to their microbial hosts. Despite this importance, metagenomic CRISPR detection remains a major challenge. Here we present a reference-guided CRISPR spacer detection tool (Metagenomic CRISPR Reference-Aided Search Tool—MetaCRAST) that constrains searches based on user-specified direct repeats (DRs). These DRs could be expected from assembly or taxonomic profiles of metagenomes. We compared the performance of MetaCRAST to those of two existing metagenomic CRISPR detection tools—Crass and MinCED—using both real and simulated acid mine drainage (AMD) and enhanced biological phosphorus removal (EBPR) metagenomes. Our evaluation shows MetaCRAST improves CRISPR spacer detection in real metagenomes compared to the de novo CRISPR detection methods Crass and MinCED. Evaluation on simulated metagenomes show it performs better than de novo tools for Illumina metagenomes and comparably for 454 metagenomes. It also has comparable performance dependence on read length and community composition, run time, and accuracy to these tools. MetaCRAST is implemented in Perl, parallelizable through the Many Core Engine (MCE), and takes metagenomic sequence reads and direct repeat queries (FASTA or FASTQ) as input. It is freely available for download at https://github.com/molleraj/MetaCRAST.


PLoS ONE ◽  
2012 ◽  
Vol 7 (11) ◽  
pp. e49755 ◽  
Author(s):  
Matthew G. Links ◽  
Tim J. Dumonceaux ◽  
Sean M. Hemmingsen ◽  
Janet E. Hill

2017 ◽  
Author(s):  
Abraham G Moller ◽  
Chun Liang

Clustered regularly interspaced short palindromic repeat (CRISPR) systems are the adaptive immune systems of bacteria and archaea against viral infection. While CRISPRs have been exploited as a tool for genetic engineering, their spacer sequences can also provide valuable insights into microbial ecology by linking environmental viruses to their microbial hosts. Despite this importance, metagenomic CRISPR detection remains a major challenge. Here we present a reference-guided CRISPR spacer detection tool (Metagenomic CRISPR Reference-Aided Search Tool - MetaCRAST) that constrains searches based on user-specified direct repeats (DRs). These DRs could be expected from assembly or taxonomic profiles of metagenomes. We compared the performance of MetaCRAST to those of two existing metagenomic CRISPR detection tools – Crass and MinCED – using both real and simulated acid mine drainage (AMD) and enhanced biological phosphorus removal (EBPR) metagenomes. Our evaluation shows MetaCRAST improves CRISPR spacer detection in real metagenomes compared to the de novo CRISPR detection methods Crass and MinCED. Evaluation on simulated metagenomes show it performs better than de novo tools for Illumina metagenomes and comparably for 454 metagenomes. It also has comparable performance dependence on read length and community composition, run time, and accuracy to these tools MetaCRAST is implemented in Perl, parallelizable through the Many Core Engine (MCE), and takes metagenomic sequence reads and direct repeat queries (FASTA or FASTQ) as input. It is freely available for download at https://github.com/molleraj/MetaCRAST.


2017 ◽  
Author(s):  
Abraham G Moller ◽  
Chun Liang

Clustered regularly interspaced short palindromic repeat (CRISPR) systems are the adaptive immune systems of bacteria and archaea against viral infection. While CRISPRs have been exploited as a tool for genetic engineering, their spacer sequences can also provide valuable insights into microbial ecology by linking environmental viruses to their microbial hosts. Despite this importance, metagenomic CRISPR detection remains a major challenge. Here we present a reference-guided CRISPR spacer detection tool (Metagenomic CRISPR Reference-Aided Search Tool - MetaCRAST) that constrains searches based on user-specified direct repeats (DRs). These DRs could be expected from assembly or taxonomic profiles of metagenomes. We compared the performance of MetaCRAST to those of two existing metagenomic CRISPR detection tools – Crass and MinCED – using both real and simulated acid mine drainage (AMD) and enhanced biological phosphorus removal (EBPR) metagenomes. Our evaluation shows MetaCRAST improves CRISPR spacer detection in real metagenomes compared to the de novo CRISPR detection methods Crass and MinCED. Evaluation on simulated metagenomes show it performs better than de novo tools for Illumina metagenomes and comparably for 454 metagenomes. It also has comparable performance dependence on read length and community composition, run time, and accuracy to these tools MetaCRAST is implemented in Perl, parallelizable through the Many Core Engine (MCE), and takes metagenomic sequence reads and direct repeat queries (FASTA or FASTQ) as input. It is freely available for download at https://github.com/molleraj/MetaCRAST.


2008 ◽  
Vol 74 (10) ◽  
pp. 2933-2939 ◽  
Author(s):  
Erin J. Biers ◽  
Kui Wang ◽  
Catherine Pennington ◽  
Robert Belas ◽  
Feng Chen ◽  
...  

ABSTRACT Genes with homology to the transduction-like gene transfer agent (GTA) were observed in genome sequences of three cultured members of the marine Roseobacter clade. A broader search for homologs for this host-controlled virus-like gene transfer system identified likely GTA systems in cultured Alphaproteobacteria, and particularly in marine bacterioplankton representatives. Expression of GTA genes and extracellular release of GTA particles (∼50 to 70 nm) was demonstrated experimentally for the Roseobacter clade member Silicibacter pomeroyi DSS-3, and intraspecific gene transfer was documented. GTA homologs are surprisingly infrequent in marine metagenomic sequence data, however, and the role of this lateral gene transfer mechanism in ocean bacterioplankton communities remains unclear.


Microbiome ◽  
2019 ◽  
Vol 7 (1) ◽  
Author(s):  
Josef Wagner ◽  
Ewan M. Harrison ◽  
Marcos Martinez Del Pero ◽  
Beth Blane ◽  
Gert Mayer ◽  
...  

Abstract Background Ear, nose and throat involvement in granulomatosis with polyangiitis (GPA) is frequently the initial disease manifestation. Previous investigations have observed a higher prevalence of Staphylococcus aureus in patients with GPA, and chronic nasal carriage has been linked with an increased risk of disease relapse. In this cross-sectional study, we investigated changes in the nasal microbiota including a detailed analysis of Staphylococcus spp. by shotgun metagenomics in patients with active and inactive granulomatosis with polyangiitis (GPA). Shotgun metagenomic sequence data were also used to identify protein-encoding genes within the SEED database, and the abundance of proteins then correlated with the presence of bacterial species on an annotated heatmap. Results The presence of S. aureus in the nose as assessed by culture was more frequently detected in patients with active GPA (66.7%) compared with inactive GPA (34.1%). Beta diversity analysis of nasal microbiota by bacterial 16S rRNA profiling revealed a different composition between GPA patients and healthy controls (P = 0.039). Beta diversity analysis of shotgun metagenomic sequence data for Staphylococcus spp. revealed a different composition between active GPA patients and healthy controls and disease controls (P = 0.0007 and P = 0.0023, respectively), and between healthy controls and inactive GPA patients and household controls (P = 0.0168 and P = 0.0168, respectively). Patients with active GPA had a higher abundance of S. aureus, mirroring the culture data, while healthy controls had a higher abundance of S. epidermidis. Staphylococcus pseudintermedius, generally assumed to be a pathogen of cats and dogs, showed an abundance of 13% among the Staphylococcus spp. in our cohort. During long-term follow-up of patients with inactive GPA at baseline, a higher S. aureus abundance was not associated with an increased relapse risk. Functional analyses identified ten SEED protein subsystems that differed between the groups. Most significant associations were related to chorismate synthesis and involved in the vitamin B12 pathway. Conclusion Our data revealed a distinct dysbiosis of the nasal microbiota in GPA patients compared with disease and healthy controls. Metagenomic sequencing demonstrated that this dysbiosis in active GPA patients is manifested by increased abundance of S. aureus and a depletion of S. epidermidis, further demonstrating the antagonist relationships between these species. SEED functional protein subsystem analysis identified an association between the unique bacterial nasal microbiota clusters seen mainly in GPA patients and an elevated abundance of genes associated with chorismate synthesis and vitamin B12 pathways. Further studies are required to further elucidate the relationship between the biosynthesis genes and the associated bacterial species.


2020 ◽  
Vol 87 (1) ◽  
Author(s):  
Rebecca Co ◽  
Laura A. Hug

ABSTRACT Improved sequencing technologies and the maturation of metagenomic approaches allow the identification of gene variants with potential industrial applications, including cellulases. Cellulase identification from metagenomic environmental surveys is complicated by inconsistent nomenclature and multiple categorization systems. Here, we summarize the current classification and nomenclature systems, with recommendations for improvements to these systems. Addressing the issues described will strengthen the annotation of cellulose-active enzymes from environmental sequence data sets—a rapidly growing resource in environmental and applied microbiology.


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