scholarly journals A Systematic Analysis of Biosynthetic Gene Clusters in the Human Microbiome Reveals a Common Family of Antibiotics

Cell ◽  
2014 ◽  
Vol 158 (6) ◽  
pp. 1402-1414 ◽  
Author(s):  
Mohamed S. Donia ◽  
Peter Cimermancic ◽  
Christopher J. Schulze ◽  
Laura C. Wieland Brown ◽  
John Martin ◽  
...  
Keyword(s):  
Human Microbiome ◽  
Gene Clusters ◽  
Biosynthetic Gene ◽  
Biosynthetic Gene Clusters ◽  
Systematic Analysis

scholarly journals mSphere of Influence: Systematically Decoding Microbial Chemical Communication

mSphere ◽  
2019 ◽  
Vol 4 (4) ◽  
Author(s):  
Laura A. Mike
Keyword(s):  
Secondary Metabolites ◽  
Secondary Metabolism ◽  
Global Analysis ◽  
Human Microbiome ◽  
Gene Clusters ◽  
Bacterial Pathogenesis ◽  
Biosynthetic Gene ◽  
Interspecies Interactions ◽  
Biosynthetic Gene Clusters ◽  
Systematic Analysis

ABSTRACT Laura A. Mike works in the field of bacterial pathogenesis. In this mSphere of Influence article, she reflects on how “Insights into Secondary Metabolism from a Global Analysis of Prokaryotic Biosynthetic Gene Clusters” by P. Cimermancic et al. (Cell 158:412–421, 2014, https://doi.org/10.1016/j.cell.2014.06.034) and “A Systematic Analysis of Biosynthetic Gene Clusters in the Human Microbiome Reveals a Common Family of Antibiotics” by M. S. Donia et al. (Cell 158:1402–1414, 2014, https://doi.org/10.1016/j.cell.2014.08.032) made an impact on her by systematically identifying microbiome-associated biosynthetic gene clusters predicted to synthesize secondary metabolites, which may facilitate interspecies interactions.

scholarly journals Multigenome analysis implicates miniature inverted-repeat transposable elements (MITEs) in metabolic diversification in eudicots

2018 ◽  
Vol 115 (28) ◽  
pp. E6650-E6658 ◽  
Author(s):  
Alexander M. Boutanaev ◽  
Anne E. Osbourn
Keyword(s):  
Transposable Elements ◽  
Inverted Repeat ◽  
Cluster Formation ◽  
Gene Clusters ◽  
Biosynthetic Gene Cluster ◽  
Terpene Synthase ◽  
Biosynthetic Gene ◽  
Biosynthetic Gene Clusters ◽  
Systematic Analysis ◽  
Plant Genomes

Plants produce a plethora of natural products, including many drugs. It has recently emerged that the genes encoding different natural product pathways may be organized as biosynthetic gene clusters in plant genomes, with >30 examples reported so far. Despite superficial similarities with microbes, these clusters have not arisen by horizontal gene transfer, but rather by gene duplication, neofunctionalization, and relocation via unknown mechanisms. Previously we reported that two Arabidopsis thaliana biosynthetic gene clusters are located in regions of the genome that are significantly enriched in transposable elements (TEs). Other plant biosynthetic gene clusters also harbor abundant TEs. TEs can mediate genomic rearrangement by providing homologous sequences that enable illegitimate recombination and gene relocation. Thus, TE-mediated recombination may contribute to plant biosynthetic gene cluster formation. TEs may also facilitate establishment of regulons. However, a systematic analysis of the TEs associated with plant biosynthetic gene clusters has not been carried out. Here we investigate the TEs associated with clustered terpene biosynthetic genes in multiple plant genomes and find evidence to suggest a role for miniature inverted-repeat transposable elements in cluster formation in eudicots. Through investigation of the newly sequenced Amborella trichopoda, Aquilegia coerulea, and Kalanchoe fedtschenkoi genomes, we further show that the “block” mechanism of founding of biosynthetic gene clusters through duplication and diversification of pairs of terpene synthase and cytochrome P450 genes that is prevalent in the eudicots arose around 90–130 million years ago, after the appearance of the basal eudicots and before the emergence of the superrosid clade.

scholarly journals TaxiBGC: a Taxonomy-guided Approach for the Identification of Experimentally Verified Microbial Biosynthetic Gene Clusters in Shotgun Metagenomic Data

2021 ◽  
Author(s):  
Utpal Bakshi ◽  
Vinod K Gupta ◽  
Aileen R Lee ◽  
John M Davis ◽  
Sriram Chandrasekaran ◽  
...  
Keyword(s):  
Large Scale ◽  
Human Microbiome ◽  
Gene Clusters ◽  
Human Microbiome Project ◽  
Metagenomic Data ◽  
Biosynthetic Gene ◽  
Case Control Studies ◽  
Biosynthetic Gene Clusters ◽  
Host Interactions ◽  
Microbiome Data

Biosynthetic gene clusters (BGCs) in microbial genomes encode for the production of bioactive secondary metabolites (SMs). Given the well-recognized importance of SMs in microbe-microbe and microbe-host interactions, the large-scale identification of BGCs from microbial metagenomes could offer novel functional insights into complex chemical ecology. Despite recent progress, currently available tools for predicting BGCs from shotgun metagenomes have several limitations, including the need for computationally demanding read-assembly and prediction of a narrow breadth of BGC classes. To overcome these limitations, we developed TaxiBGC (Taxonomy-guided Identification of Biosynthetic Gene Clusters), a computational pipeline for identifying experimentally verified BGCs in shotgun metagenomes by first pinpointing the microbial species likely to produce them. We show that our species-centric approach was able to identify BGCs in simulated metagenomes more accurately than by solely detecting BGC genes. By applying TaxiBGC on 5,423 metagenomes from the Human Microbiome Project and various case-control studies, we identified distinct BGC signatures of major human body sites and candidate stool-borne biomarkers for multiple diseases, including inflammatory bowel disease, colorectal cancer, and psychiatric disorders. In all, TaxiBGC demonstrates a significant advantage over existing techniques for systematically characterizing BGCs and inferring their SMs from microbiome data.

scholarly journals Mining metagenomes for natural product biosynthetic gene clusters: unlocking new potential with ultrafast techniques

2021 ◽  
Author(s):  
Emiliano Pereira-Flores ◽  
Marnix Medema ◽  
Pier Luigi Buttigieg ◽  
Peter Meinicke ◽  
Frank Oliver Glöckner ◽  
...  
Keyword(s):  
Natural Products ◽  
Natural Product ◽  
Human Microbiome ◽  
Gene Clusters ◽  
Human Microbiome Project ◽  
Biosynthetic Gene Cluster ◽  
Metagenomic Data ◽  
Biosynthetic Gene ◽  
Biosynthetic Gene Clusters ◽  
Wide Range

Microorganisms produce an immense variety of natural products through the expression of Biosynthetic Gene Clusters (BGCs): physically clustered genes that encode the enzymes of a specialized metabolic pathway. These natural products cover a wide range of chemical classes (e.g., aminoglycosides, lantibiotics, nonribosomal peptides, oligosaccharides, polyketides, terpenes) that are highly valuable for industrial and medical applications1. Metagenomics, as a culture-independent approach, has greatly enhanced our ability to survey the functional potential of microorganisms and is growing in popularity for the mining of BGCs. However, to effectively exploit metagenomic data to this end, it will be crucial to more efficiently identify these genomic elements in highly complex and ever-increasing volumes of data2. Here, we address this challenge by developing the ultrafast Biosynthetic Gene cluster MEtagenomic eXploration toolbox (BiG-MEx). BiG-MEx rapidly identifies a broad range of BGC protein domains, assess their diversity and novelty, and predicts the abundance profile of natural product BGC classes in metagenomic data. We show the advantages of BiG-MEx compared to standard BGC-mining approaches, and use it to explore the BGC domain and class composition of samples in the TARA Oceans3 and Human Microbiome Project datasets4. In these analyses, we demonstrate BiG-MEx’s applicability to study the distribution, diversity, and ecological roles of BGCs in metagenomic data, and guide the exploration of natural products with clinical applications.

scholarly journals A Systematic Analysis of Mosquito-Microbiome Biosynthetic Gene Clusters Reveals Antimalarial Siderophores that Reduce Mosquito Reproduction Capacity

2020 ◽  
Vol 27 (7) ◽  
pp. 817-826.e5
Author(s):  
Jack G. Ganley ◽  
Ashmita Pandey ◽  
Kayla Sylvester ◽  
Kuan-Yi Lu ◽  
Maria Toro-Moreno ◽  
...  
Keyword(s):  
Gene Clusters ◽  
Biosynthetic Gene ◽  
Biosynthetic Gene Clusters ◽  
Systematic Analysis

scholarly journals A Systematic Analysis of Mosquito-Microbiome Biosynthetic Gene Clusters Reveals Antimalarial Siderophores that Reduce Mosquito Reproduction Capacity

2020 ◽  
Author(s):  
Jack G. Ganley ◽  
Ashmita Pandey ◽  
Kayla Sylvester ◽  
Kuan-Yi Lu ◽  
Maria Toro-Moreno ◽  
...  
Keyword(s):  
Small Molecules ◽  
Genetic Manipulation ◽  
Control Strategies ◽  
Gene Clusters ◽  
Blood Feeding ◽  
Biosynthetic Gene ◽  
Biosynthetic Gene Clusters ◽  
Systematic Analysis ◽  
Depth Analysis

ABSTRACTAdvances in infectious disease control strategies through genetic manipulation of insect microbiomes have heightened interest in microbially produced small molecules within mosquitoes. Herein, 33 mosquito-associated bacterial genomes were mined and over 700 putative biosynthetic gene clusters (BGCs) were identified, 135 of which belong to known classes of BGCs. After an in-depth analysis of the 135 BGCs, iron-binding siderophores were chosen for further investigation due to their high abundance and well-characterized bioactivities. Through various metabolomic strategies, eight siderophore scaffolds were identified in six strains of mosquito-associated bacteria. Among these, serratiochelin A and pyochelin were found to reduce female Anopheles gambiae overall fecundity likely by lowering their blood feeding rate. Serratiochelin A and pyochelin were further found to inhibit the Plasmodium parasite asexual blood and liver stages in vitro. Our work supplies a bioinformatic resource for future mosquito microbiome studies and highlights an understudied source of bioactive small molecules.

Sign in / Sign up

Export Citation Format

Share Document