2019
DOI: 10.1038/s41589-019-0400-9
|View full text |Cite
|
Sign up to set email alerts
|

A computational framework to explore large-scale biosynthetic diversity

Abstract: Genome mining has become a key technology to exploit natural product diversity. While initially performed on a single-genome basis, the process is now being scaled up to mine entire genera, strain collections and microbiomes. However, no bioinformatic framework is currently available for effectively analyzing datasets of this size and complexity. Here, we provide a streamlined computational workflow consisting of two new software tools: The 'Biosynthetic Gene Similarity Clustering And Prospecting Engine' (BiG-… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
519
0
1

Year Published

2020
2020
2022
2022

Publication Types

Select...
5
4
1

Relationship

2
8

Authors

Journals

citations
Cited by 537 publications
(521 citation statements)
references
References 59 publications
1
519
0
1
Order By: Relevance
“…A multi-locus phylogeny of all SGB representatives was inferred with PhyloPhlan v.0.41 19 . Secondary metabolites were identified with AntiSMASH v.5.1.1 20 and DeepBGC v.0.1.18 21 and then characterized with BiGSCAPE 22 . Abricate was used to identify antimicrobial resistance genes.…”
Section: Metagenome Assembly Of Genomes Pipelinementioning
confidence: 99%
“…A multi-locus phylogeny of all SGB representatives was inferred with PhyloPhlan v.0.41 19 . Secondary metabolites were identified with AntiSMASH v.5.1.1 20 and DeepBGC v.0.1.18 21 and then characterized with BiGSCAPE 22 . Abricate was used to identify antimicrobial resistance genes.…”
Section: Metagenome Assembly Of Genomes Pipelinementioning
confidence: 99%
“…Node support comes from 10000 bootstrap generations. For analysis of the genome context of the selected ECF56 homologs shown in figure 3 we used CORASON with an adhoc genomes database including selected organisms (50). the parameters for the search were e-value 1E-12 and bit-score cutoff of 200, the graphical output was modified to follow the order of a phylogenetic tree generated with the protein sequences homologs identified by CORASON with identical parameters to those described above.…”
Section: Methodsmentioning
confidence: 99%
“…Subsequently, the corresponding Genbank file of the flanking region was downloaded. The resulting Genbank file collection was used as an input for BiG-SCAPE 28 , which groups metabolic gene clusters (MGCs) into families. The output networks were visualized using the BiG-SCAPE interactive visualization tool.…”
Section: Analysis Of the Genomic Context Of Fe-s Flavoenzymesmentioning
confidence: 99%