Metabolomics to Exploit the Primed Immune System of Tomato Fruit
<b< </b<Tomato is a major crop suffering substantial yield losses from diseases, as fruit decay at a postharvest level can claim up to 50% of the total production worldwide. Due to the environmental risks of fungicides, there is an increasing interest in exploiting plant immunity through...
Ausführliche Beschreibung
Autor*in: |
Estrella Luna [verfasserIn] Amélie Flandin [verfasserIn] Cédric Cassan [verfasserIn] Sylvain Prigent [verfasserIn] Chloé Chevanne [verfasserIn] Camélia Feyrouse Kadiri [verfasserIn] Yves Gibon [verfasserIn] Pierre Pétriacq [verfasserIn] |
---|
Format: |
E-Artikel |
---|---|
Sprache: |
Englisch |
Erschienen: |
2020 |
---|
Schlagwörter: |
---|
Übergeordnetes Werk: |
In: Metabolites - MDPI AG, 2012, 10(2020), 3, p 96 |
---|---|
Übergeordnetes Werk: |
volume:10 ; year:2020 ; number:3, p 96 |
Links: |
---|
DOI / URN: |
10.3390/metabo10030096 |
---|
Katalog-ID: |
DOAJ008594910 |
---|
LEADER | 01000caa a22002652 4500 | ||
---|---|---|---|
001 | DOAJ008594910 | ||
003 | DE-627 | ||
005 | 20230310012317.0 | ||
007 | cr uuu---uuuuu | ||
008 | 230225s2020 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.3390/metabo10030096 |2 doi | |
035 | |a (DE-627)DOAJ008594910 | ||
035 | |a (DE-599)DOAJfaf7e91ce4224f02a3d593a43347315d | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
050 | 0 | |a QR1-502 | |
100 | 0 | |a Estrella Luna |e verfasserin |4 aut | |
245 | 1 | 0 | |a Metabolomics to Exploit the Primed Immune System of Tomato Fruit |
264 | 1 | |c 2020 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a Computermedien |b c |2 rdamedia | ||
338 | |a Online-Ressource |b cr |2 rdacarrier | ||
520 | |a <b< </b<Tomato is a major crop suffering substantial yield losses from diseases, as fruit decay at a postharvest level can claim up to 50% of the total production worldwide. Due to the environmental risks of fungicides, there is an increasing interest in exploiting plant immunity through priming, which is an adaptive strategy that improves plant defensive capacity by stimulating induced mechanisms. Broad-spectrum defence priming can be triggered by the compound ß-aminobutyric acid (BABA). In tomato plants, BABA induces resistance against various fungal and bacterial pathogens and different methods of application result in durable protection. Here, we demonstrate that the treatment of tomato plants with BABA resulted in a durable induced resistance in tomato fruit against <i<Botrytis </i<<i<cinerea</i<, <i<Phytophthora </i<<i<infestans</i< and <i<Pseudomonas </i<<i<syringae</i<. Targeted and untargeted metabolomics were used to investigate the metabolic regulations that underpin the priming of tomato fruit against pathogenic microbes that present different infection strategies. Metabolomic analyses revealed major changes after BABA treatment and after inoculation. Remarkably, primed responses seemed specific to the type of infection, rather than showing a common fingerprint of BABA-induced priming. Furthermore, top-down modelling from the detected metabolic markers allowed for the accurate prediction of the measured resistance to fruit pathogens and demonstrated that soluble sugars are essential to predict resistance to fruit pathogens. Altogether, our results demonstrate that metabolomics is particularly insightful for a better understanding of defence priming in fruit. Further experiments are underway in order to identify key metabolites that mediate broad-spectrum BABA-induced priming in tomato fruit. | ||
650 | 4 | |a tomato | |
650 | 4 | |a metabolomics | |
650 | 4 | |a biochemical phenotyping | |
650 | 4 | |a priming | |
650 | 4 | |a baba | |
650 | 4 | |a <i<botrytis cinerea | |
650 | 4 | |a phytophthora infestans | |
650 | 4 | |a pseudomonas syringae</i< | |
653 | 0 | |a Microbiology | |
700 | 0 | |a Amélie Flandin |e verfasserin |4 aut | |
700 | 0 | |a Cédric Cassan |e verfasserin |4 aut | |
700 | 0 | |a Sylvain Prigent |e verfasserin |4 aut | |
700 | 0 | |a Chloé Chevanne |e verfasserin |4 aut | |
700 | 0 | |a Camélia Feyrouse Kadiri |e verfasserin |4 aut | |
700 | 0 | |a Yves Gibon |e verfasserin |4 aut | |
700 | 0 | |a Pierre Pétriacq |e verfasserin |4 aut | |
773 | 0 | 8 | |i In |t Metabolites |d MDPI AG, 2012 |g 10(2020), 3, p 96 |w (DE-627)718627164 |w (DE-600)2662251-8 |x 22181989 |7 nnns |
773 | 1 | 8 | |g volume:10 |g year:2020 |g number:3, p 96 |
856 | 4 | 0 | |u https://doi.org/10.3390/metabo10030096 |z kostenfrei |
856 | 4 | 0 | |u https://doaj.org/article/faf7e91ce4224f02a3d593a43347315d |z kostenfrei |
856 | 4 | 0 | |u https://www.mdpi.com/2218-1989/10/3/96 |z kostenfrei |
856 | 4 | 2 | |u https://doaj.org/toc/2218-1989 |y Journal toc |z kostenfrei |
912 | |a GBV_USEFLAG_A | ||
912 | |a SYSFLAG_A | ||
912 | |a GBV_DOAJ | ||
912 | |a GBV_ILN_20 | ||
912 | |a GBV_ILN_22 | ||
912 | |a GBV_ILN_23 | ||
912 | |a GBV_ILN_24 | ||
912 | |a GBV_ILN_39 | ||
912 | |a GBV_ILN_40 | ||
912 | |a GBV_ILN_60 | ||
912 | |a GBV_ILN_62 | ||
912 | |a GBV_ILN_63 | ||
912 | |a GBV_ILN_65 | ||
912 | |a GBV_ILN_69 | ||
912 | |a GBV_ILN_70 | ||
912 | |a GBV_ILN_73 | ||
912 | |a GBV_ILN_74 | ||
912 | |a GBV_ILN_95 | ||
912 | |a GBV_ILN_105 | ||
912 | |a GBV_ILN_110 | ||
912 | |a GBV_ILN_151 | ||
912 | |a GBV_ILN_161 | ||
912 | |a GBV_ILN_170 | ||
912 | |a GBV_ILN_213 | ||
912 | |a GBV_ILN_230 | ||
912 | |a GBV_ILN_285 | ||
912 | |a GBV_ILN_293 | ||
912 | |a GBV_ILN_602 | ||
912 | |a GBV_ILN_2014 | ||
912 | |a GBV_ILN_4012 | ||
912 | |a GBV_ILN_4037 | ||
912 | |a GBV_ILN_4112 | ||
912 | |a GBV_ILN_4125 | ||
912 | |a GBV_ILN_4126 | ||
912 | |a GBV_ILN_4249 | ||
912 | |a GBV_ILN_4305 | ||
912 | |a GBV_ILN_4306 | ||
912 | |a GBV_ILN_4307 | ||
912 | |a GBV_ILN_4313 | ||
912 | |a GBV_ILN_4322 | ||
912 | |a GBV_ILN_4323 | ||
912 | |a GBV_ILN_4324 | ||
912 | |a GBV_ILN_4325 | ||
912 | |a GBV_ILN_4338 | ||
912 | |a GBV_ILN_4367 | ||
912 | |a GBV_ILN_4700 | ||
951 | |a AR | ||
952 | |d 10 |j 2020 |e 3, p 96 |
author_variant |
e l el a f af c c cc s p sp c c cc c f k cfk y g yg p p pp |
---|---|
matchkey_str |
article:22181989:2020----::eaooisoxlitermdmuey |
hierarchy_sort_str |
2020 |
callnumber-subject-code |
QR |
publishDate |
2020 |
allfields |
10.3390/metabo10030096 doi (DE-627)DOAJ008594910 (DE-599)DOAJfaf7e91ce4224f02a3d593a43347315d DE-627 ger DE-627 rakwb eng QR1-502 Estrella Luna verfasserin aut Metabolomics to Exploit the Primed Immune System of Tomato Fruit 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <b< </b<Tomato is a major crop suffering substantial yield losses from diseases, as fruit decay at a postharvest level can claim up to 50% of the total production worldwide. Due to the environmental risks of fungicides, there is an increasing interest in exploiting plant immunity through priming, which is an adaptive strategy that improves plant defensive capacity by stimulating induced mechanisms. Broad-spectrum defence priming can be triggered by the compound ß-aminobutyric acid (BABA). In tomato plants, BABA induces resistance against various fungal and bacterial pathogens and different methods of application result in durable protection. Here, we demonstrate that the treatment of tomato plants with BABA resulted in a durable induced resistance in tomato fruit against <i<Botrytis </i<<i<cinerea</i<, <i<Phytophthora </i<<i<infestans</i< and <i<Pseudomonas </i<<i<syringae</i<. Targeted and untargeted metabolomics were used to investigate the metabolic regulations that underpin the priming of tomato fruit against pathogenic microbes that present different infection strategies. Metabolomic analyses revealed major changes after BABA treatment and after inoculation. Remarkably, primed responses seemed specific to the type of infection, rather than showing a common fingerprint of BABA-induced priming. Furthermore, top-down modelling from the detected metabolic markers allowed for the accurate prediction of the measured resistance to fruit pathogens and demonstrated that soluble sugars are essential to predict resistance to fruit pathogens. Altogether, our results demonstrate that metabolomics is particularly insightful for a better understanding of defence priming in fruit. Further experiments are underway in order to identify key metabolites that mediate broad-spectrum BABA-induced priming in tomato fruit. tomato metabolomics biochemical phenotyping priming baba <i<botrytis cinerea phytophthora infestans pseudomonas syringae</i< Microbiology Amélie Flandin verfasserin aut Cédric Cassan verfasserin aut Sylvain Prigent verfasserin aut Chloé Chevanne verfasserin aut Camélia Feyrouse Kadiri verfasserin aut Yves Gibon verfasserin aut Pierre Pétriacq verfasserin aut In Metabolites MDPI AG, 2012 10(2020), 3, p 96 (DE-627)718627164 (DE-600)2662251-8 22181989 nnns volume:10 year:2020 number:3, p 96 https://doi.org/10.3390/metabo10030096 kostenfrei https://doaj.org/article/faf7e91ce4224f02a3d593a43347315d kostenfrei https://www.mdpi.com/2218-1989/10/3/96 kostenfrei https://doaj.org/toc/2218-1989 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2020 3, p 96 |
spelling |
10.3390/metabo10030096 doi (DE-627)DOAJ008594910 (DE-599)DOAJfaf7e91ce4224f02a3d593a43347315d DE-627 ger DE-627 rakwb eng QR1-502 Estrella Luna verfasserin aut Metabolomics to Exploit the Primed Immune System of Tomato Fruit 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <b< </b<Tomato is a major crop suffering substantial yield losses from diseases, as fruit decay at a postharvest level can claim up to 50% of the total production worldwide. Due to the environmental risks of fungicides, there is an increasing interest in exploiting plant immunity through priming, which is an adaptive strategy that improves plant defensive capacity by stimulating induced mechanisms. Broad-spectrum defence priming can be triggered by the compound ß-aminobutyric acid (BABA). In tomato plants, BABA induces resistance against various fungal and bacterial pathogens and different methods of application result in durable protection. Here, we demonstrate that the treatment of tomato plants with BABA resulted in a durable induced resistance in tomato fruit against <i<Botrytis </i<<i<cinerea</i<, <i<Phytophthora </i<<i<infestans</i< and <i<Pseudomonas </i<<i<syringae</i<. Targeted and untargeted metabolomics were used to investigate the metabolic regulations that underpin the priming of tomato fruit against pathogenic microbes that present different infection strategies. Metabolomic analyses revealed major changes after BABA treatment and after inoculation. Remarkably, primed responses seemed specific to the type of infection, rather than showing a common fingerprint of BABA-induced priming. Furthermore, top-down modelling from the detected metabolic markers allowed for the accurate prediction of the measured resistance to fruit pathogens and demonstrated that soluble sugars are essential to predict resistance to fruit pathogens. Altogether, our results demonstrate that metabolomics is particularly insightful for a better understanding of defence priming in fruit. Further experiments are underway in order to identify key metabolites that mediate broad-spectrum BABA-induced priming in tomato fruit. tomato metabolomics biochemical phenotyping priming baba <i<botrytis cinerea phytophthora infestans pseudomonas syringae</i< Microbiology Amélie Flandin verfasserin aut Cédric Cassan verfasserin aut Sylvain Prigent verfasserin aut Chloé Chevanne verfasserin aut Camélia Feyrouse Kadiri verfasserin aut Yves Gibon verfasserin aut Pierre Pétriacq verfasserin aut In Metabolites MDPI AG, 2012 10(2020), 3, p 96 (DE-627)718627164 (DE-600)2662251-8 22181989 nnns volume:10 year:2020 number:3, p 96 https://doi.org/10.3390/metabo10030096 kostenfrei https://doaj.org/article/faf7e91ce4224f02a3d593a43347315d kostenfrei https://www.mdpi.com/2218-1989/10/3/96 kostenfrei https://doaj.org/toc/2218-1989 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2020 3, p 96 |
allfields_unstemmed |
10.3390/metabo10030096 doi (DE-627)DOAJ008594910 (DE-599)DOAJfaf7e91ce4224f02a3d593a43347315d DE-627 ger DE-627 rakwb eng QR1-502 Estrella Luna verfasserin aut Metabolomics to Exploit the Primed Immune System of Tomato Fruit 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <b< </b<Tomato is a major crop suffering substantial yield losses from diseases, as fruit decay at a postharvest level can claim up to 50% of the total production worldwide. Due to the environmental risks of fungicides, there is an increasing interest in exploiting plant immunity through priming, which is an adaptive strategy that improves plant defensive capacity by stimulating induced mechanisms. Broad-spectrum defence priming can be triggered by the compound ß-aminobutyric acid (BABA). In tomato plants, BABA induces resistance against various fungal and bacterial pathogens and different methods of application result in durable protection. Here, we demonstrate that the treatment of tomato plants with BABA resulted in a durable induced resistance in tomato fruit against <i<Botrytis </i<<i<cinerea</i<, <i<Phytophthora </i<<i<infestans</i< and <i<Pseudomonas </i<<i<syringae</i<. Targeted and untargeted metabolomics were used to investigate the metabolic regulations that underpin the priming of tomato fruit against pathogenic microbes that present different infection strategies. Metabolomic analyses revealed major changes after BABA treatment and after inoculation. Remarkably, primed responses seemed specific to the type of infection, rather than showing a common fingerprint of BABA-induced priming. Furthermore, top-down modelling from the detected metabolic markers allowed for the accurate prediction of the measured resistance to fruit pathogens and demonstrated that soluble sugars are essential to predict resistance to fruit pathogens. Altogether, our results demonstrate that metabolomics is particularly insightful for a better understanding of defence priming in fruit. Further experiments are underway in order to identify key metabolites that mediate broad-spectrum BABA-induced priming in tomato fruit. tomato metabolomics biochemical phenotyping priming baba <i<botrytis cinerea phytophthora infestans pseudomonas syringae</i< Microbiology Amélie Flandin verfasserin aut Cédric Cassan verfasserin aut Sylvain Prigent verfasserin aut Chloé Chevanne verfasserin aut Camélia Feyrouse Kadiri verfasserin aut Yves Gibon verfasserin aut Pierre Pétriacq verfasserin aut In Metabolites MDPI AG, 2012 10(2020), 3, p 96 (DE-627)718627164 (DE-600)2662251-8 22181989 nnns volume:10 year:2020 number:3, p 96 https://doi.org/10.3390/metabo10030096 kostenfrei https://doaj.org/article/faf7e91ce4224f02a3d593a43347315d kostenfrei https://www.mdpi.com/2218-1989/10/3/96 kostenfrei https://doaj.org/toc/2218-1989 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2020 3, p 96 |
allfieldsGer |
10.3390/metabo10030096 doi (DE-627)DOAJ008594910 (DE-599)DOAJfaf7e91ce4224f02a3d593a43347315d DE-627 ger DE-627 rakwb eng QR1-502 Estrella Luna verfasserin aut Metabolomics to Exploit the Primed Immune System of Tomato Fruit 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <b< </b<Tomato is a major crop suffering substantial yield losses from diseases, as fruit decay at a postharvest level can claim up to 50% of the total production worldwide. Due to the environmental risks of fungicides, there is an increasing interest in exploiting plant immunity through priming, which is an adaptive strategy that improves plant defensive capacity by stimulating induced mechanisms. Broad-spectrum defence priming can be triggered by the compound ß-aminobutyric acid (BABA). In tomato plants, BABA induces resistance against various fungal and bacterial pathogens and different methods of application result in durable protection. Here, we demonstrate that the treatment of tomato plants with BABA resulted in a durable induced resistance in tomato fruit against <i<Botrytis </i<<i<cinerea</i<, <i<Phytophthora </i<<i<infestans</i< and <i<Pseudomonas </i<<i<syringae</i<. Targeted and untargeted metabolomics were used to investigate the metabolic regulations that underpin the priming of tomato fruit against pathogenic microbes that present different infection strategies. Metabolomic analyses revealed major changes after BABA treatment and after inoculation. Remarkably, primed responses seemed specific to the type of infection, rather than showing a common fingerprint of BABA-induced priming. Furthermore, top-down modelling from the detected metabolic markers allowed for the accurate prediction of the measured resistance to fruit pathogens and demonstrated that soluble sugars are essential to predict resistance to fruit pathogens. Altogether, our results demonstrate that metabolomics is particularly insightful for a better understanding of defence priming in fruit. Further experiments are underway in order to identify key metabolites that mediate broad-spectrum BABA-induced priming in tomato fruit. tomato metabolomics biochemical phenotyping priming baba <i<botrytis cinerea phytophthora infestans pseudomonas syringae</i< Microbiology Amélie Flandin verfasserin aut Cédric Cassan verfasserin aut Sylvain Prigent verfasserin aut Chloé Chevanne verfasserin aut Camélia Feyrouse Kadiri verfasserin aut Yves Gibon verfasserin aut Pierre Pétriacq verfasserin aut In Metabolites MDPI AG, 2012 10(2020), 3, p 96 (DE-627)718627164 (DE-600)2662251-8 22181989 nnns volume:10 year:2020 number:3, p 96 https://doi.org/10.3390/metabo10030096 kostenfrei https://doaj.org/article/faf7e91ce4224f02a3d593a43347315d kostenfrei https://www.mdpi.com/2218-1989/10/3/96 kostenfrei https://doaj.org/toc/2218-1989 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2020 3, p 96 |
allfieldsSound |
10.3390/metabo10030096 doi (DE-627)DOAJ008594910 (DE-599)DOAJfaf7e91ce4224f02a3d593a43347315d DE-627 ger DE-627 rakwb eng QR1-502 Estrella Luna verfasserin aut Metabolomics to Exploit the Primed Immune System of Tomato Fruit 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <b< </b<Tomato is a major crop suffering substantial yield losses from diseases, as fruit decay at a postharvest level can claim up to 50% of the total production worldwide. Due to the environmental risks of fungicides, there is an increasing interest in exploiting plant immunity through priming, which is an adaptive strategy that improves plant defensive capacity by stimulating induced mechanisms. Broad-spectrum defence priming can be triggered by the compound ß-aminobutyric acid (BABA). In tomato plants, BABA induces resistance against various fungal and bacterial pathogens and different methods of application result in durable protection. Here, we demonstrate that the treatment of tomato plants with BABA resulted in a durable induced resistance in tomato fruit against <i<Botrytis </i<<i<cinerea</i<, <i<Phytophthora </i<<i<infestans</i< and <i<Pseudomonas </i<<i<syringae</i<. Targeted and untargeted metabolomics were used to investigate the metabolic regulations that underpin the priming of tomato fruit against pathogenic microbes that present different infection strategies. Metabolomic analyses revealed major changes after BABA treatment and after inoculation. Remarkably, primed responses seemed specific to the type of infection, rather than showing a common fingerprint of BABA-induced priming. Furthermore, top-down modelling from the detected metabolic markers allowed for the accurate prediction of the measured resistance to fruit pathogens and demonstrated that soluble sugars are essential to predict resistance to fruit pathogens. Altogether, our results demonstrate that metabolomics is particularly insightful for a better understanding of defence priming in fruit. Further experiments are underway in order to identify key metabolites that mediate broad-spectrum BABA-induced priming in tomato fruit. tomato metabolomics biochemical phenotyping priming baba <i<botrytis cinerea phytophthora infestans pseudomonas syringae</i< Microbiology Amélie Flandin verfasserin aut Cédric Cassan verfasserin aut Sylvain Prigent verfasserin aut Chloé Chevanne verfasserin aut Camélia Feyrouse Kadiri verfasserin aut Yves Gibon verfasserin aut Pierre Pétriacq verfasserin aut In Metabolites MDPI AG, 2012 10(2020), 3, p 96 (DE-627)718627164 (DE-600)2662251-8 22181989 nnns volume:10 year:2020 number:3, p 96 https://doi.org/10.3390/metabo10030096 kostenfrei https://doaj.org/article/faf7e91ce4224f02a3d593a43347315d kostenfrei https://www.mdpi.com/2218-1989/10/3/96 kostenfrei https://doaj.org/toc/2218-1989 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2020 3, p 96 |
language |
English |
source |
In Metabolites 10(2020), 3, p 96 volume:10 year:2020 number:3, p 96 |
sourceStr |
In Metabolites 10(2020), 3, p 96 volume:10 year:2020 number:3, p 96 |
format_phy_str_mv |
Article |
institution |
findex.gbv.de |
topic_facet |
tomato metabolomics biochemical phenotyping priming baba <i<botrytis cinerea phytophthora infestans pseudomonas syringae</i< Microbiology |
isfreeaccess_bool |
true |
container_title |
Metabolites |
authorswithroles_txt_mv |
Estrella Luna @@aut@@ Amélie Flandin @@aut@@ Cédric Cassan @@aut@@ Sylvain Prigent @@aut@@ Chloé Chevanne @@aut@@ Camélia Feyrouse Kadiri @@aut@@ Yves Gibon @@aut@@ Pierre Pétriacq @@aut@@ |
publishDateDaySort_date |
2020-01-01T00:00:00Z |
hierarchy_top_id |
718627164 |
id |
DOAJ008594910 |
language_de |
englisch |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ008594910</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230310012317.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230225s2020 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.3390/metabo10030096</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ008594910</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJfaf7e91ce4224f02a3d593a43347315d</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">QR1-502</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Estrella Luna</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Metabolomics to Exploit the Primed Immune System of Tomato Fruit</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2020</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a"><b< </b<Tomato is a major crop suffering substantial yield losses from diseases, as fruit decay at a postharvest level can claim up to 50% of the total production worldwide. Due to the environmental risks of fungicides, there is an increasing interest in exploiting plant immunity through priming, which is an adaptive strategy that improves plant defensive capacity by stimulating induced mechanisms. Broad-spectrum defence priming can be triggered by the compound ß-aminobutyric acid (BABA). In tomato plants, BABA induces resistance against various fungal and bacterial pathogens and different methods of application result in durable protection. Here, we demonstrate that the treatment of tomato plants with BABA resulted in a durable induced resistance in tomato fruit against <i<Botrytis </i<<i<cinerea</i<, <i<Phytophthora </i<<i<infestans</i< and <i<Pseudomonas </i<<i<syringae</i<. Targeted and untargeted metabolomics were used to investigate the metabolic regulations that underpin the priming of tomato fruit against pathogenic microbes that present different infection strategies. Metabolomic analyses revealed major changes after BABA treatment and after inoculation. Remarkably, primed responses seemed specific to the type of infection, rather than showing a common fingerprint of BABA-induced priming. Furthermore, top-down modelling from the detected metabolic markers allowed for the accurate prediction of the measured resistance to fruit pathogens and demonstrated that soluble sugars are essential to predict resistance to fruit pathogens. Altogether, our results demonstrate that metabolomics is particularly insightful for a better understanding of defence priming in fruit. Further experiments are underway in order to identify key metabolites that mediate broad-spectrum BABA-induced priming in tomato fruit.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">tomato</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">metabolomics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">biochemical phenotyping</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">priming</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">baba</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a"><i<botrytis cinerea</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">phytophthora infestans</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">pseudomonas syringae</i<</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Microbiology</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Amélie Flandin</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Cédric Cassan</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Sylvain Prigent</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Chloé Chevanne</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Camélia Feyrouse Kadiri</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Yves Gibon</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Pierre Pétriacq</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Metabolites</subfield><subfield code="d">MDPI AG, 2012</subfield><subfield code="g">10(2020), 3, p 96</subfield><subfield code="w">(DE-627)718627164</subfield><subfield code="w">(DE-600)2662251-8</subfield><subfield code="x">22181989</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:10</subfield><subfield code="g">year:2020</subfield><subfield code="g">number:3, p 96</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.3390/metabo10030096</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/faf7e91ce4224f02a3d593a43347315d</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://www.mdpi.com/2218-1989/10/3/96</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2218-1989</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">10</subfield><subfield code="j">2020</subfield><subfield code="e">3, p 96</subfield></datafield></record></collection>
|
callnumber-first |
Q - Science |
author |
Estrella Luna |
spellingShingle |
Estrella Luna misc QR1-502 misc tomato misc metabolomics misc biochemical phenotyping misc priming misc baba misc <i<botrytis cinerea misc phytophthora infestans misc pseudomonas syringae</i< misc Microbiology Metabolomics to Exploit the Primed Immune System of Tomato Fruit |
authorStr |
Estrella Luna |
ppnlink_with_tag_str_mv |
@@773@@(DE-627)718627164 |
format |
electronic Article |
delete_txt_mv |
keep |
author_role |
aut aut aut aut aut aut aut aut |
collection |
DOAJ |
remote_str |
true |
callnumber-label |
QR1-502 |
illustrated |
Not Illustrated |
issn |
22181989 |
topic_title |
QR1-502 Metabolomics to Exploit the Primed Immune System of Tomato Fruit tomato metabolomics biochemical phenotyping priming baba <i<botrytis cinerea phytophthora infestans pseudomonas syringae</i< |
topic |
misc QR1-502 misc tomato misc metabolomics misc biochemical phenotyping misc priming misc baba misc <i<botrytis cinerea misc phytophthora infestans misc pseudomonas syringae</i< misc Microbiology |
topic_unstemmed |
misc QR1-502 misc tomato misc metabolomics misc biochemical phenotyping misc priming misc baba misc <i<botrytis cinerea misc phytophthora infestans misc pseudomonas syringae</i< misc Microbiology |
topic_browse |
misc QR1-502 misc tomato misc metabolomics misc biochemical phenotyping misc priming misc baba misc <i<botrytis cinerea misc phytophthora infestans misc pseudomonas syringae</i< misc Microbiology |
format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
format_main_str_mv |
Text Zeitschrift/Artikel |
carriertype_str_mv |
cr |
hierarchy_parent_title |
Metabolites |
hierarchy_parent_id |
718627164 |
hierarchy_top_title |
Metabolites |
isfreeaccess_txt |
true |
familylinks_str_mv |
(DE-627)718627164 (DE-600)2662251-8 |
title |
Metabolomics to Exploit the Primed Immune System of Tomato Fruit |
ctrlnum |
(DE-627)DOAJ008594910 (DE-599)DOAJfaf7e91ce4224f02a3d593a43347315d |
title_full |
Metabolomics to Exploit the Primed Immune System of Tomato Fruit |
author_sort |
Estrella Luna |
journal |
Metabolites |
journalStr |
Metabolites |
callnumber-first-code |
Q |
lang_code |
eng |
isOA_bool |
true |
recordtype |
marc |
publishDateSort |
2020 |
contenttype_str_mv |
txt |
author_browse |
Estrella Luna Amélie Flandin Cédric Cassan Sylvain Prigent Chloé Chevanne Camélia Feyrouse Kadiri Yves Gibon Pierre Pétriacq |
container_volume |
10 |
class |
QR1-502 |
format_se |
Elektronische Aufsätze |
author-letter |
Estrella Luna |
doi_str_mv |
10.3390/metabo10030096 |
author2-role |
verfasserin |
title_sort |
metabolomics to exploit the primed immune system of tomato fruit |
callnumber |
QR1-502 |
title_auth |
Metabolomics to Exploit the Primed Immune System of Tomato Fruit |
abstract |
<b< </b<Tomato is a major crop suffering substantial yield losses from diseases, as fruit decay at a postharvest level can claim up to 50% of the total production worldwide. Due to the environmental risks of fungicides, there is an increasing interest in exploiting plant immunity through priming, which is an adaptive strategy that improves plant defensive capacity by stimulating induced mechanisms. Broad-spectrum defence priming can be triggered by the compound ß-aminobutyric acid (BABA). In tomato plants, BABA induces resistance against various fungal and bacterial pathogens and different methods of application result in durable protection. Here, we demonstrate that the treatment of tomato plants with BABA resulted in a durable induced resistance in tomato fruit against <i<Botrytis </i<<i<cinerea</i<, <i<Phytophthora </i<<i<infestans</i< and <i<Pseudomonas </i<<i<syringae</i<. Targeted and untargeted metabolomics were used to investigate the metabolic regulations that underpin the priming of tomato fruit against pathogenic microbes that present different infection strategies. Metabolomic analyses revealed major changes after BABA treatment and after inoculation. Remarkably, primed responses seemed specific to the type of infection, rather than showing a common fingerprint of BABA-induced priming. Furthermore, top-down modelling from the detected metabolic markers allowed for the accurate prediction of the measured resistance to fruit pathogens and demonstrated that soluble sugars are essential to predict resistance to fruit pathogens. Altogether, our results demonstrate that metabolomics is particularly insightful for a better understanding of defence priming in fruit. Further experiments are underway in order to identify key metabolites that mediate broad-spectrum BABA-induced priming in tomato fruit. |
abstractGer |
<b< </b<Tomato is a major crop suffering substantial yield losses from diseases, as fruit decay at a postharvest level can claim up to 50% of the total production worldwide. Due to the environmental risks of fungicides, there is an increasing interest in exploiting plant immunity through priming, which is an adaptive strategy that improves plant defensive capacity by stimulating induced mechanisms. Broad-spectrum defence priming can be triggered by the compound ß-aminobutyric acid (BABA). In tomato plants, BABA induces resistance against various fungal and bacterial pathogens and different methods of application result in durable protection. Here, we demonstrate that the treatment of tomato plants with BABA resulted in a durable induced resistance in tomato fruit against <i<Botrytis </i<<i<cinerea</i<, <i<Phytophthora </i<<i<infestans</i< and <i<Pseudomonas </i<<i<syringae</i<. Targeted and untargeted metabolomics were used to investigate the metabolic regulations that underpin the priming of tomato fruit against pathogenic microbes that present different infection strategies. Metabolomic analyses revealed major changes after BABA treatment and after inoculation. Remarkably, primed responses seemed specific to the type of infection, rather than showing a common fingerprint of BABA-induced priming. Furthermore, top-down modelling from the detected metabolic markers allowed for the accurate prediction of the measured resistance to fruit pathogens and demonstrated that soluble sugars are essential to predict resistance to fruit pathogens. Altogether, our results demonstrate that metabolomics is particularly insightful for a better understanding of defence priming in fruit. Further experiments are underway in order to identify key metabolites that mediate broad-spectrum BABA-induced priming in tomato fruit. |
abstract_unstemmed |
<b< </b<Tomato is a major crop suffering substantial yield losses from diseases, as fruit decay at a postharvest level can claim up to 50% of the total production worldwide. Due to the environmental risks of fungicides, there is an increasing interest in exploiting plant immunity through priming, which is an adaptive strategy that improves plant defensive capacity by stimulating induced mechanisms. Broad-spectrum defence priming can be triggered by the compound ß-aminobutyric acid (BABA). In tomato plants, BABA induces resistance against various fungal and bacterial pathogens and different methods of application result in durable protection. Here, we demonstrate that the treatment of tomato plants with BABA resulted in a durable induced resistance in tomato fruit against <i<Botrytis </i<<i<cinerea</i<, <i<Phytophthora </i<<i<infestans</i< and <i<Pseudomonas </i<<i<syringae</i<. Targeted and untargeted metabolomics were used to investigate the metabolic regulations that underpin the priming of tomato fruit against pathogenic microbes that present different infection strategies. Metabolomic analyses revealed major changes after BABA treatment and after inoculation. Remarkably, primed responses seemed specific to the type of infection, rather than showing a common fingerprint of BABA-induced priming. Furthermore, top-down modelling from the detected metabolic markers allowed for the accurate prediction of the measured resistance to fruit pathogens and demonstrated that soluble sugars are essential to predict resistance to fruit pathogens. Altogether, our results demonstrate that metabolomics is particularly insightful for a better understanding of defence priming in fruit. Further experiments are underway in order to identify key metabolites that mediate broad-spectrum BABA-induced priming in tomato fruit. |
collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 |
container_issue |
3, p 96 |
title_short |
Metabolomics to Exploit the Primed Immune System of Tomato Fruit |
url |
https://doi.org/10.3390/metabo10030096 https://doaj.org/article/faf7e91ce4224f02a3d593a43347315d https://www.mdpi.com/2218-1989/10/3/96 https://doaj.org/toc/2218-1989 |
remote_bool |
true |
author2 |
Amélie Flandin Cédric Cassan Sylvain Prigent Chloé Chevanne Camélia Feyrouse Kadiri Yves Gibon Pierre Pétriacq |
author2Str |
Amélie Flandin Cédric Cassan Sylvain Prigent Chloé Chevanne Camélia Feyrouse Kadiri Yves Gibon Pierre Pétriacq |
ppnlink |
718627164 |
callnumber-subject |
QR - Microbiology |
mediatype_str_mv |
c |
isOA_txt |
true |
hochschulschrift_bool |
false |
doi_str |
10.3390/metabo10030096 |
callnumber-a |
QR1-502 |
up_date |
2024-07-03T18:56:09.895Z |
_version_ |
1803585291440619520 |
fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ008594910</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230310012317.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230225s2020 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.3390/metabo10030096</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ008594910</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJfaf7e91ce4224f02a3d593a43347315d</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">QR1-502</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Estrella Luna</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Metabolomics to Exploit the Primed Immune System of Tomato Fruit</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2020</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a"><b< </b<Tomato is a major crop suffering substantial yield losses from diseases, as fruit decay at a postharvest level can claim up to 50% of the total production worldwide. Due to the environmental risks of fungicides, there is an increasing interest in exploiting plant immunity through priming, which is an adaptive strategy that improves plant defensive capacity by stimulating induced mechanisms. Broad-spectrum defence priming can be triggered by the compound ß-aminobutyric acid (BABA). In tomato plants, BABA induces resistance against various fungal and bacterial pathogens and different methods of application result in durable protection. Here, we demonstrate that the treatment of tomato plants with BABA resulted in a durable induced resistance in tomato fruit against <i<Botrytis </i<<i<cinerea</i<, <i<Phytophthora </i<<i<infestans</i< and <i<Pseudomonas </i<<i<syringae</i<. Targeted and untargeted metabolomics were used to investigate the metabolic regulations that underpin the priming of tomato fruit against pathogenic microbes that present different infection strategies. Metabolomic analyses revealed major changes after BABA treatment and after inoculation. Remarkably, primed responses seemed specific to the type of infection, rather than showing a common fingerprint of BABA-induced priming. Furthermore, top-down modelling from the detected metabolic markers allowed for the accurate prediction of the measured resistance to fruit pathogens and demonstrated that soluble sugars are essential to predict resistance to fruit pathogens. Altogether, our results demonstrate that metabolomics is particularly insightful for a better understanding of defence priming in fruit. Further experiments are underway in order to identify key metabolites that mediate broad-spectrum BABA-induced priming in tomato fruit.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">tomato</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">metabolomics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">biochemical phenotyping</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">priming</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">baba</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a"><i<botrytis cinerea</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">phytophthora infestans</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">pseudomonas syringae</i<</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Microbiology</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Amélie Flandin</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Cédric Cassan</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Sylvain Prigent</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Chloé Chevanne</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Camélia Feyrouse Kadiri</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Yves Gibon</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Pierre Pétriacq</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Metabolites</subfield><subfield code="d">MDPI AG, 2012</subfield><subfield code="g">10(2020), 3, p 96</subfield><subfield code="w">(DE-627)718627164</subfield><subfield code="w">(DE-600)2662251-8</subfield><subfield code="x">22181989</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:10</subfield><subfield code="g">year:2020</subfield><subfield code="g">number:3, p 96</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.3390/metabo10030096</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/faf7e91ce4224f02a3d593a43347315d</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://www.mdpi.com/2218-1989/10/3/96</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2218-1989</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">10</subfield><subfield code="j">2020</subfield><subfield code="e">3, p 96</subfield></datafield></record></collection>
|
score |
7.4006405 |