Mass Spectrometry‐Based Molecular Networks Applied to Study the Molecular Interaction Between Two Endophytic Fungi Isolated From <i>Tibouchina granulosa</i> (Vell.) Cogn (Melastomataceae)

Establishing a microorganism as an endophyte involves complex molecular interactions with its host plant and a broader microbial community. Precise detection methods and comprehensive metabolite annotation are essential to study these interactions. This study focused on characterizing the chemical composition of metabolites produced by two endophytic fungi, Colletotrichum siamense and Xylaria berteroi, isolated from Tibouchina granulosa leaves in axenic conditions and coculture. We examined the fungal metabolites using ultra-high-performance liquid chromatography coupled with high-resolution mass spectrometry (UHPLC-HR-MS/MS) and analysis tools like Cytoscape and Global Natural Products Social Molecular Networking. Co-cultivation revealed unique compounds not produced in isolation, including N-acetyltryptamine. A total of 32 compounds were identified, many with biotechnological potential due to their bioactivities. The untargeted metabolomics approach demonstrated that interactions among these T. granulosa endophytes can activate inactive metabolic pathways under axenic conditions, potentially producing novel bioactive molecules. This study is the first study of the chemical profile and interaction between endophytes isolated from T. granulosa.

Authors

Institutions

Publication Details

Journal
Chemistry & Biodiversity
Published
2024-12-03
DOI
https://doi.org/10.1002/cbdv.202402334
Primary Topic
Microbial Natural Products and Biosynthesis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mass Spectrometry‐Based Molecular Networks Applied to Study the Molecular Interaction Between Two Endophytic Fungi Isolated From Tibouchina granulosa (Vell.) Cogn (Melastomataceae)

Thomas Kehrwald Fruet, Ellen Carolina Zawoski Gomes, Verônica Elisa Pimenta Vicentini, Anderson Valdiney Gomes Ramos et al.
Chemistry & Biodiversity
Microbial Natural Products and Biosynthesis
article

Mass Spectrometry‐Based Molecular Networks Applied to Study the Molecular Interaction Between Two Endophytic Fungi Isolated From Tibouchina granulosa (Vell.) Cogn (Melastomataceae)

Thomas Kehrwald Fruet, Ellen Carolina Zawoski Gomes, Verônica Elisa Pimenta Vicentini, Anderson Valdiney Gomes Ramos, Débora Cristina Baldoqui, Júlio César Polonio, João Alencar Pamphile, Halison Correia Golias
article en

Abstract

Establishing a microorganism as an endophyte involves complex molecular interactions with its host plant and a broader microbial community. Precise detection methods and comprehensive metabolite annotation are essential to study these interactions. This study focused on characterizing the chemical composition of metabolites produced by two endophytic fungi, Colletotrichum siamense and Xylaria berteroi, isolated from Tibouchina granulosa leaves in axenic conditions and coculture. We examined the fungal metabolites using ultra-high-performance liquid chromatography coupled with high-resolution mass spectrometry (UHPLC-HR-MS/MS) and analysis tools like Cytoscape and Global Natural Products Social Molecular Networking. Co-cultivation revealed unique compounds not produced in isolation, including N-acetyltryptamine. A total of 32 compounds were identified, many with biotechnological potential due to their bioactivities. The untargeted metabolomics approach demonstrated that interactions among these T. granulosa endophytes can activate inactive metabolic pathways under axenic conditions, potentially producing novel bioactive molecules. This study is the first study of the chemical profile and interaction between endophytes isolated from T. granulosa.

Chemistry & BiodiversityVol. 22(4)
Universidade Estadual de Maringá (BR), Universidade Tecnológica Federal do Paraná (BR), Universidade Estadual do Oeste do Paraná (BR), Universidade Estadual do Paraná (BR)
Openalex Percentile: Top 78%
Microbial Natural Products and Biosynthesis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.