New insights into the echinocandins and other fungal non-ribosomal peptides and peptaibiotics.

Nat Prod Rep

Texas Therapeutics Institute, The Brown Foundation Institute of Molecular Medicine, The University of Texas Health Science Centre at Houston, Houston, Texas 77054, USA.

Published: October 2014

AI Article Synopsis

Article Abstract

Non-ribosomal peptide synthetases (NRPSs) are a primary modality for fungal peptidic natural product assembly and are responsible for some of the best known, most useful, and most destructive fungal metabolites. Through genome sequencing and computer-assisted recognition of modular motifs of catalytic domains, one can now confidently identify most NRPS biosynthetic genes of a fungal strain. The biosynthetic gene clusters responsible for two of the most important classes of NRP fungal derived drugs, cyclosporine and the echinocandins, have been recently characterized by genomic sequencing and annotation. Complete biosynthetic gene clusters for the pneumocandins and echinocandins have been mapped at the genetic level and functionally characterized to some extent. Genomic sequencing of representative strains of most of the variants in the echinocandin family, including the wild-type of the three fungal strains employed for industrial-scale production of caspofungin, micafungin and anidulofungin, has enabled characterization of the basic architecture of the echinocandin NRPS pathways. A comparative analysis of how pathway genes cause variations in lipoinitiation, biosynthesis of the non-proteinogenic amino acids, amino acid substitutions, and hydroxylations and sulfonations of the core peptide and contribute to the molecular diversity of the family is presented. We also review new information on the natural functions of NRPs, the differences between fungal and bacterial NRPSs, and functional characterization of selected NRPS gene clusters. Continuing discovery of the new fungal nonribosomal peptides has contributed new structural diversity and potential insights into their biological functions among other natural peptides and peptaibiotics. We therefore provide an update on new peptides, depsipeptides and peptaibols discovered in the Fungi since 2009.

Download full-text PDF

Source
http://dx.doi.org/10.1039/c4np00046cDOI Listing

Publication Analysis

Top Keywords

gene clusters
12
fungal
8
peptides peptaibiotics
8
biosynthetic gene
8
genomic sequencing
8
insights echinocandins
4
echinocandins fungal
4
fungal non-ribosomal
4
peptides
4
non-ribosomal peptides
4

Similar Publications

Identification of a novel butenolide signal system to regulate high production of tylosin in Streptomyces fradiae.

Appl Microbiol Biotechnol

January 2025

State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China.

Identifying hormone-like quorum sensing (QS) molecules in streptomycetes is challenging due to low production levels but is essential for understanding secondary metabolite biosynthesis and morphological differentiation. This work reports the discovery of a novel γ-butenolide-type signaling molecule (SFB1) via overexpressing its biosynthetic gene (orf18) in Streptomyces fradiae. SFB1 was found to be essential for production of tylosin through dissociating the binding of its receptor TylP (a transcriptional repressor) to target genes, thus activating the expression of tylosin biosynthetic gene cluster (tyl).

View Article and Find Full Text PDF

Background: Altered glucose metabolism is a critical characteristic from the beginning stage of esophageal squamous cell carcinoma (ESCC), and the phenomenon is presented as a pink-color sign under endoscopy after iodine staining. Therefore, calculating the metabolic score based on the glucose metabolic gene sets may bring some novel insights, enabling the prediction of prognosis and the identification of treatment choices for ESCC.

Methods: A total of 8, 99, and 140 individuals from The Gene Expression Omnibus database, The Cancer Genome Atlas database, and the Memorial Sloan Kettering Cancer Center, respectively, were encompassed in the investigation.

View Article and Find Full Text PDF

Comparative transcriptome and metabolome analysis of sweet potato ( (L.) Lam.) tuber development.

Front Plant Sci

January 2025

Institute of Food Crops, Hainan Academy of Agricultural Sciences/Hainan Key Laboratory of Crop Genetics and Breeding, Haikou, China.

Introduction: Sweet potato is an important food, feed and industrial raw material, and its tubers are rich in starch, carotenoids and anthocyanins.

Methods: To elucidate the gene expression regulation and metabolic characteristics during the development of sweet potato tubers, transcriptomic and metabolomic analyses were performed on the tubers of three different sweet potato varieties at three developmental stages (70, 100, and 130 days (d)).

Results: RNA-seq analysis revealed that 16,303 differentially expressed genes (DEGs) were divided into 12 clusters according to their expression patterns, and the pathways of each cluster were annotated.

View Article and Find Full Text PDF

Genome mining has revealed that spp. possess numerous down-regulated or cryptic biosynthetic gene clusters (BGCs). This finding hinted that our investigation of fungal secondary metabolomes is limited.

View Article and Find Full Text PDF

Background: Emerging evidence underscores the comorbidity mechanisms among autoimmune diseases (AIDs), with innovative technologies such as single-cell RNA sequencing (scRNA-seq) significantly advancing the explorations in this field. This study aimed to investigate the shared genes among three AIDs-Multiple Sclerosis (MS), Systemic Lupus Erythematosus (SLE), and Rheumatoid Arthritis (RA) using bioinformatics databases, and to identify potential biomarkers for early diagnosis.

Methods: We retrieved transcriptomic data of MS, SLE, and RA patients from public databases.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!