Summary of Study ST001990
This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR001264. The data can be accessed directly via it's Project DOI: 10.21228/M8B39F This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.
| Study ID | ST001990 |
| Study Title | Metabolomics of the interaction between a consortium of entomopathogenic fungi and their target insect: mechanisms of attack and survival |
| Study Type | Untargeted Metabolomics |
| Study Summary | One of the most concerning pests that attack strawberries in Brazil is Duponchelia fovealis, a non-native moth with no registered control methods to date. Our group recently observed that a fungal consortium formed by two strains of Beauveria bassiana increased the mortality of D. fovealis more than inoculation with each strain on its own. However, the molecular interaction between the fungal consortium and the caterpillars is unknown, raising several questions about the enhanced pest control observed. Furthermore, concerns over the emergency of resistance and the selection for resistance to chemical and biological products that are constantly applied in agriculture highlight the need for careful examination of novel pest control methods. Thus, in this work, we sought to pioneer the evaluation of the molecular interaction between a fungal consortium of B. bassiana and D. fovealis caterpillars. We aimed to understand the biocontrol process involved in this interaction and the defense system of the caterpillar. Therefore, seven days after D. fovealis caterpillars were inoculated with the B. bassiana consortium, the dead and surviving caterpillars were analyzed using GC-MS and LC-MS/MS. |
| Institute | Universidade Federal do Paraná |
| Department | Patologia Básica |
| Laboratory | Laboratório de Microbiologia e Biologia Molecular |
| Last Name | Katiski da Costa Stuart |
| First Name | Andressa |
| Address | Av. Cel. Francisco Heráclito dos Santos, 100, Curitiba, Paraná, 81530-000, Brazil |
| andressa.katiski@gmail.com | |
| Phone | 55 41 991922779 |
| Submit Date | 2021-11-12 |
| Num Groups | 7 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | cdf, raw(Waters) |
| Analysis Type Detail | API-MS |
| Release Date | 2023-05-12 |
| Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Combined analysis:
| Analysis ID | AN003242 | AN003243 | AN003244 | AN003245 | AN003246 | AN003247 |
|---|---|---|---|---|---|---|
| Analysis type | MS | MS | MS | MS | MS | MS |
| Chromatography type | GC | GC | Reversed phase | Reversed phase | Reversed phase | Reversed phase |
| Chromatography system | Agilent 7890A | Agilent 7890A | Waters Acquity UPLC | Waters Acquity UPLC | Waters Acquity UPLC | Waters Acquity UPLC |
| Column | Agilent DB-5 (20m x 0.18mm, 0.18um); Restek RX-T 17 (0.9m x 0.10mm, 0.10um) | Agilent DB-5 (20m x 0.18mm, 0.18um); Restek RX-T 17 (0.9m x 0.10mm, 0.10um) | Waters Acquity UPLC HSS (100 x 2.1mm, 1.7um) | Waters Acquity UPLC HSS (100 x 2.1mm, 1.7um) | Waters Acquity UPLC HSS (100 x 2.1mm, 1.7um) | Waters Acquity UPLC HSS (100 x 2.1mm, 1.7um) |
| MS Type | EI | API | ESI | ESI | ESI | ESI |
| MS instrument type | GC x GC-TOF | GC x GC-TOF | QTOF | QTOF | QTOF | QTOF |
| MS instrument name | Leco Pegasus 4D GCxGC TOF | Leco Pegasus 4D GCxGC TOF | Waters Acquity UPLC | Waters Acquity UPLC | Waters Acquity UPLC | Waters Acquity UPLC |
| Ion Mode | UNSPECIFIED | UNSPECIFIED | NEGATIVE | POSITIVE | NEGATIVE | POSITIVE |
| Units | peak area | Relative intensity | Relative intensity | Relative intensity | Relative intensity |
MS:
| MS ID: | MS003015 |
| Analysis ID: | AN003242 |
| Instrument Name: | Leco Pegasus 4D GCxGC TOF |
| Instrument Type: | GC x GC-TOF |
| MS Type: | EI |
| MS Comments: | Data from GC-MS was processed using ChromaTOF 4.32 software to conduct baseline correction, deconvolution, retention index (RI), retention time correction (RT), identification, and alignment of peaks. NIST library version 11 was used for the identification of metabolites. Only metabolites with a score of 700 or above were considered. The intensity of each metabolite was normalized by the total ion count (TIC) of each sample. Statistical analyses were performed using the MetaboAnalyst 4.0 online software (available at http://www.metaboanalyst.ca/MetaboAnalyst/) |
| Ion Mode: | UNSPECIFIED |
| Fragmentation Method: | EI |
| Ion Source Temperature: | 250 ºC |
| Ionization Energy: | 70 eV |
| Analysis Protocol File: | metabolomics_methods.pdf |
| MS ID: | MS003016 |
| Analysis ID: | AN003243 |
| Instrument Name: | Leco Pegasus 4D GCxGC TOF |
| Instrument Type: | GC x GC-TOF |
| MS Type: | API |
| MS Comments: | Data from GC-MS was processed using ChromaTOF 4.32 software to conduct baseline correction, deconvolution, retention index (RI), retention time correction (RT), identification, and alignment of peaks. NIST library version 11 was used for the identification of metabolites. Only metabolites with a score of 700 or above were considered. The intensity of each metabolite was normalized by the total ion count (TIC) of each sample. Statistical analyses were performed using the MetaboAnalyst 4.0 online software (available at http://www.metaboanalyst.ca/MetaboAnalyst/) |
| Ion Mode: | UNSPECIFIED |
| Fragmentation Method: | EI |
| Ion Source Temperature: | 250 ºC |
| Ionization Energy: | 70 eV |
| Analysis Protocol File: | metabolomics_methods.pdf |
| MS ID: | MS003017 |
| Analysis ID: | AN003244 |
| Instrument Name: | Waters Acquity UPLC |
| Instrument Type: | QTOF |
| MS Type: | ESI |
| MS Comments: | Generated data were pre-processed using MassLynx 4.1 software (Waters Corporation, MA, USA) and then analyzed using MetaboAnalyst 4.0 online software. Fragmentation was performed under the same conditions as the ionization source, using collision energies between 15 and 50 eV. The search for metabolites was performed in the Human Metabolome Database (HMDB) using a mass tolerance of up to 0.1 Da and considering the adduct of [M-H]-. The structures of the molecules were imported and underwent in silico fragmentation using ACD/MS Structure ID software suite (ACD/labs, Toronto, Canada). The fragmentation profile of each molecule proposed by the program was then compared to the fragments generated by MS/MS to accept or reject the identification of metabolites according to similarity. |
| Ion Mode: | NEGATIVE |
| Capillary Voltage: | 3 kV |
| Dry Gas Flow: | 50 L/hr |
| Source Temperature: | 150 ºC |
| Desolvation Gas Flow: | 550 L/hr. |
| Analysis Protocol File: | metabolomics_methods.pdf |
| MS ID: | MS003018 |
| Analysis ID: | AN003245 |
| Instrument Name: | Waters Acquity UPLC |
| Instrument Type: | QTOF |
| MS Type: | ESI |
| MS Comments: | Generated data were pre-processed using MassLynx 4.1 software (Waters Corporation, MA, USA) and then analyzed using MetaboAnalyst 4.0 online software. Fragmentation was performed under the same conditions as the ionization source, using collision energies between 15 and 50 eV. The search for metabolites was performed in the Human Metabolome Database (HMDB) using a mass tolerance of up to 0.1 Da and considering the adduct of [M-H]-. The structures of the molecules were imported and underwent in silico fragmentation using ACD/MS Structure ID software suite (ACD/labs, Toronto, Canada). The fragmentation profile of each molecule proposed by the program was then compared to the fragments generated by MS/MS to accept or reject the identification of metabolites according to similarity. |
| Ion Mode: | POSITIVE |
| Capillary Voltage: | 3 kV |
| Dry Gas Flow: | 50 L/hr |
| Source Temperature: | 150 ºC |
| Desolvation Gas Flow: | 550 L/hr |
| Analysis Protocol File: | metabolomics_methods.pdf |
| MS ID: | MS003019 |
| Analysis ID: | AN003246 |
| Instrument Name: | Waters Acquity UPLC |
| Instrument Type: | QTOF |
| MS Type: | ESI |
| MS Comments: | Generated data were pre-processed using MassLynx 4.1 software (Waters Corporation, MA, USA) and then analyzed using MetaboAnalyst 4.0 online software. Fragmentation was performed under the same conditions as the ionization source, using collision energies between 15 and 50 eV. The search for metabolites was performed in the Human Metabolome Database (HMDB) using a mass tolerance of up to 0.1 Da and considering the adduct of [M-H]-. The structures of the molecules were imported and underwent in silico fragmentation using ACD/MS Structure ID software suite (ACD/labs, Toronto, Canada). The fragmentation profile of each molecule proposed by the program was then compared to the fragments generated by MS/MS to accept or reject the identification of metabolites according to similarity. |
| Ion Mode: | NEGATIVE |
| Capillary Voltage: | 3 kV |
| Dry Gas Flow: | 50 L/hr |
| Source Temperature: | 150 ºC |
| Desolvation Gas Flow: | 550 L/hr |
| Analysis Protocol File: | metabolomics_methods.pdf |
| MS ID: | MS003020 |
| Analysis ID: | AN003247 |
| Instrument Name: | Waters Acquity UPLC |
| Instrument Type: | QTOF |
| MS Type: | ESI |
| MS Comments: | Generated data were pre-processed using MassLynx 4.1 software (Waters Corporation, MA, USA) and then analyzed using MetaboAnalyst 4.0 online software. Fragmentation was performed under the same conditions as the ionization source, using collision energies between 15 and 50 eV. The search for metabolites was performed in the Human Metabolome Database (HMDB) using a mass tolerance of up to 0.1 Da and considering the adduct of [M-H]-. The structures of the molecules were imported and underwent in silico fragmentation using ACD/MS Structure ID software suite (ACD/labs, Toronto, Canada). The fragmentation profile of each molecule proposed by the program was then compared to the fragments generated by MS/MS to accept or reject the identification of metabolites according to similarity. |
| Ion Mode: | POSITIVE |
| Capillary Voltage: | 3 kV |
| Dry Gas Flow: | 50 L/hr |
| Source Temperature: | 150 ºC |
| Desolvation Gas Flow: | 550 L/hr |
| Analysis Protocol File: | metabolomics_methods.pdf |
