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Clonostachys rosea ‘omics profiling: identification of putative metabolite-gene associations mediating its in vitro antagonism against Fusarium graminearum

BACKGROUND: Clonostachys rosea is an established biocontrol agent. Selected strains have either mycoparasitic activity against known pathogens (e.g. Fusarium species) and/or plant growth promoting activity on various crops. Here we report outcomes from a comparative ‘omics analysis leveraging a temp...

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Autores principales: Bahadoor, Adilah, Robinson, Kelly A., Loewen, Michele C., Demissie, Zerihun A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10291803/
https://www.ncbi.nlm.nih.gov/pubmed/37365507
http://dx.doi.org/10.1186/s12864-023-09463-6
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author Bahadoor, Adilah
Robinson, Kelly A.
Loewen, Michele C.
Demissie, Zerihun A.
author_facet Bahadoor, Adilah
Robinson, Kelly A.
Loewen, Michele C.
Demissie, Zerihun A.
author_sort Bahadoor, Adilah
collection PubMed
description BACKGROUND: Clonostachys rosea is an established biocontrol agent. Selected strains have either mycoparasitic activity against known pathogens (e.g. Fusarium species) and/or plant growth promoting activity on various crops. Here we report outcomes from a comparative ‘omics analysis leveraging a temporal variation in the in vitro antagonistic activities of C. rosea strains ACM941 and 88–710, toward understanding the molecular mechanisms underpinning mycoparasitism. RESULTS: Transcriptomic data highlighted specialized metabolism and membrane transport related genes as being significantly upregulated in ACM941 compared to 88–710 at a time point when the ACM941 strain had higher in vitro antagonistic activity than 88–710. In addition, high molecular weight specialized metabolites were differentially secreted by ACM941, with accumulation patterns of some metabolites matching the growth inhibition differences displayed by the exometabolites of the two strains. In an attempt to identify statistically relevant relationships between upregulated genes and differentially secreted metabolites, transcript and metabolomic abundance data were associated using IntLIM (Integration through Linear Modeling). Of several testable candidate associations, a putative C. rosea epidithiodiketopiperazine (ETP) gene cluster was identified as a prime candidate based on both co-regulation analysis and transcriptomic-metabolomic data association. CONCLUSIONS: Although remaining to be validated functionally, these results suggest that a data integration approach may be useful for identification of potential biomarkers underlying functional divergence in C. rosea strains. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-023-09463-6.
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spelling pubmed-102918032023-06-27 Clonostachys rosea ‘omics profiling: identification of putative metabolite-gene associations mediating its in vitro antagonism against Fusarium graminearum Bahadoor, Adilah Robinson, Kelly A. Loewen, Michele C. Demissie, Zerihun A. BMC Genomics Research BACKGROUND: Clonostachys rosea is an established biocontrol agent. Selected strains have either mycoparasitic activity against known pathogens (e.g. Fusarium species) and/or plant growth promoting activity on various crops. Here we report outcomes from a comparative ‘omics analysis leveraging a temporal variation in the in vitro antagonistic activities of C. rosea strains ACM941 and 88–710, toward understanding the molecular mechanisms underpinning mycoparasitism. RESULTS: Transcriptomic data highlighted specialized metabolism and membrane transport related genes as being significantly upregulated in ACM941 compared to 88–710 at a time point when the ACM941 strain had higher in vitro antagonistic activity than 88–710. In addition, high molecular weight specialized metabolites were differentially secreted by ACM941, with accumulation patterns of some metabolites matching the growth inhibition differences displayed by the exometabolites of the two strains. In an attempt to identify statistically relevant relationships between upregulated genes and differentially secreted metabolites, transcript and metabolomic abundance data were associated using IntLIM (Integration through Linear Modeling). Of several testable candidate associations, a putative C. rosea epidithiodiketopiperazine (ETP) gene cluster was identified as a prime candidate based on both co-regulation analysis and transcriptomic-metabolomic data association. CONCLUSIONS: Although remaining to be validated functionally, these results suggest that a data integration approach may be useful for identification of potential biomarkers underlying functional divergence in C. rosea strains. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-023-09463-6. BioMed Central 2023-06-26 /pmc/articles/PMC10291803/ /pubmed/37365507 http://dx.doi.org/10.1186/s12864-023-09463-6 Text en © Crown 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Bahadoor, Adilah
Robinson, Kelly A.
Loewen, Michele C.
Demissie, Zerihun A.
Clonostachys rosea ‘omics profiling: identification of putative metabolite-gene associations mediating its in vitro antagonism against Fusarium graminearum
title Clonostachys rosea ‘omics profiling: identification of putative metabolite-gene associations mediating its in vitro antagonism against Fusarium graminearum
title_full Clonostachys rosea ‘omics profiling: identification of putative metabolite-gene associations mediating its in vitro antagonism against Fusarium graminearum
title_fullStr Clonostachys rosea ‘omics profiling: identification of putative metabolite-gene associations mediating its in vitro antagonism against Fusarium graminearum
title_full_unstemmed Clonostachys rosea ‘omics profiling: identification of putative metabolite-gene associations mediating its in vitro antagonism against Fusarium graminearum
title_short Clonostachys rosea ‘omics profiling: identification of putative metabolite-gene associations mediating its in vitro antagonism against Fusarium graminearum
title_sort clonostachys rosea ‘omics profiling: identification of putative metabolite-gene associations mediating its in vitro antagonism against fusarium graminearum
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10291803/
https://www.ncbi.nlm.nih.gov/pubmed/37365507
http://dx.doi.org/10.1186/s12864-023-09463-6
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