TY - JOUR
T1 - Chemical elicitors induce rare bioactive secondary metabolites in deep-sea bacteria under laboratory conditions
AU - de Felício, Rafael
AU - Ballone, Patricia
AU - Bazzano, Cristina Freitas
AU - Alves, Luiz F.G.
AU - Sigrist, Renata
AU - Infante, Gina Polo
AU - Niero, Henrique
AU - Rodrigues-Costa, Fernanda
AU - Fernandes, Arthur Zanetti Nunes
AU - Tonon, Luciane A.C.
AU - Paradela, Luciana S.
AU - Costa, Renna Karoline Eloi
AU - Dias, Sandra Martha Gomes
AU - Dessen, Andréa
AU - Telles, Guilherme P.
AU - da Silva, Marcus Adonai Castro
AU - de Souza Lima, Andre Oliveira
AU - Trivella, Daniela Barretto Barbosa
N1 - Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2021/2
Y1 - 2021/2
N2 - Bacterial genome sequencing has revealed a vast number of novel biosynthetic gene clusters (BGC) with potential to produce bioactive natural products. However, the biosynthesis of secondary metabolites by bacteria is often silenced under laboratory conditions, limiting the controlled expression of natural products. Here we describe an integrated methodology for the construction and screening of an elicited and pre-fractionated library of marine bacteria. In this pilot study, chemical elicitors were evaluated to mimic the natural environment and to induce the expression of cryptic BGCs in deep-sea bacteria. By integrating high-resolution untargeted metabolomics with cheminformatics analyses, it was possible to visualize, mine, identify and map the chemical and biological space of the elicited bacterial metabolites. The results show that elicited bacterial metabolites correspond to ~45% of the compounds produced under laboratory conditions. In addition, the elicited chemical space is novel (~70% of the elicited compounds) or concentrated in the chemical space of drugs. Fractionation of the crude extracts further evidenced minor compounds (~90% of the collection) and the detection of biological activity. This pilot work pinpoints strategies for constructing and evaluating chemically diverse bacterial natural product libraries towards the identification of novel bacterial metabolites in natural product-based drug discovery pipelines.
AB - Bacterial genome sequencing has revealed a vast number of novel biosynthetic gene clusters (BGC) with potential to produce bioactive natural products. However, the biosynthesis of secondary metabolites by bacteria is often silenced under laboratory conditions, limiting the controlled expression of natural products. Here we describe an integrated methodology for the construction and screening of an elicited and pre-fractionated library of marine bacteria. In this pilot study, chemical elicitors were evaluated to mimic the natural environment and to induce the expression of cryptic BGCs in deep-sea bacteria. By integrating high-resolution untargeted metabolomics with cheminformatics analyses, it was possible to visualize, mine, identify and map the chemical and biological space of the elicited bacterial metabolites. The results show that elicited bacterial metabolites correspond to ~45% of the compounds produced under laboratory conditions. In addition, the elicited chemical space is novel (~70% of the elicited compounds) or concentrated in the chemical space of drugs. Fractionation of the crude extracts further evidenced minor compounds (~90% of the collection) and the detection of biological activity. This pilot work pinpoints strategies for constructing and evaluating chemically diverse bacterial natural product libraries towards the identification of novel bacterial metabolites in natural product-based drug discovery pipelines.
KW - Bacterial natural products
KW - Chemical elicitors
KW - Chemical space
KW - Cryptic gene clusters
KW - Deep-sea bacteria
KW - Dereplication
KW - Drug discovery
KW - LC-MS/MS data mining
KW - Molecular networking
KW - Natural product libraries
UR - http://www.scopus.com/inward/record.url?scp=85101219942&partnerID=8YFLogxK
U2 - 10.3390/metabo11020107
DO - 10.3390/metabo11020107
M3 - Article
AN - SCOPUS:85101219942
SN - 2218-1989
VL - 11
SP - 1
EP - 26
JO - Metabolites
JF - Metabolites
IS - 2
M1 - 107
ER -