Resistance associated metabolite profiling of Aspergillus leaf spot in cotton through non-targeted metabolomics

Aspergillus tubingensis is an important pathogen of economically important crops. Different biotic stresses strongly influence the balance of metabolites in plants. The aim of this study was to understand the function and response of resistance associated metabolites which, in turn are involved in m...

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Veröffentlicht in:PloS one 2020-02, Vol.15 (2), p.e0228675-e0228675
Hauptverfasser: Khizar, Maria, Shi, Jianxin, Saleem, Sadia, Liaquat, Fiza, Ashraf, Muhammad, Latif, Sadia, Haroon, Urooj, Hassan, Syed Waqas, Rehman, Shafiq Ur, Chaudhary, Hassan Javed, Quraishi, Umar Masood, Munis, Muhammad Farooq Hussain
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container_title PloS one
container_volume 15
creator Khizar, Maria
Shi, Jianxin
Saleem, Sadia
Liaquat, Fiza
Ashraf, Muhammad
Latif, Sadia
Haroon, Urooj
Hassan, Syed Waqas
Rehman, Shafiq Ur
Chaudhary, Hassan Javed
Quraishi, Umar Masood
Munis, Muhammad Farooq Hussain
description Aspergillus tubingensis is an important pathogen of economically important crops. Different biotic stresses strongly influence the balance of metabolites in plants. The aim of this study was to understand the function and response of resistance associated metabolites which, in turn are involved in many secondary metabolomics pathways to influence defense mechanism of cotton plant. Analysis of non-targeted metabolomics using ultra high performance liquid chromatography-mass spectrometry (UPLC-MS) revealed abundant accumulation of key metabolites including flavonoids, phenylpropanoids, terpenoids, fatty acids and carbohydrates, in response to leaf spot of cotton. The principal component analysis (PCA), orthogonal partial least squares discriminant analysis (OPLS-DA) and partial least squares discriminant analysis (PLS-DA) score plots illustrated the evidences of variation between two varieties of cotton under mock and pathogen inoculated treatments. Primary metabolism was affected by the up regulation of pyruvate and malate and by the accumulation of carbohydrates like cellobiose and inulobiose. Among 241 resistance related (RR) metabolites, 18 were identified as resistance related constitutive (RRC) and 223 as resistance related induced (RRI) metabolites. Several RRI metabolites, identified in the present study were the precursors for many secondary metabolic pathways. These included phenylpropanoids (stilbenes and furanocoumarin), flavonoids (phlorizin and kaempferol), alkaloids (indolizine and acetylcorynoline) and terpenoids (azelaic acid and oleanolic acid). Our results demonstrated that secondary metabolism, primary metabolism and energy metabolism were more active in resistant cultivar, as compared to sensitive cultivar. Differential protein and fatty acid metabolism was also depicted in both cultivars. Accumulation of these defense related metabolites in resistant cotton cultivar and their suppression in susceptible cotton cultivar revealed the reason of their respective tolerance and susceptibility against A. tubingensis.
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Different biotic stresses strongly influence the balance of metabolites in plants. The aim of this study was to understand the function and response of resistance associated metabolites which, in turn are involved in many secondary metabolomics pathways to influence defense mechanism of cotton plant. Analysis of non-targeted metabolomics using ultra high performance liquid chromatography-mass spectrometry (UPLC-MS) revealed abundant accumulation of key metabolites including flavonoids, phenylpropanoids, terpenoids, fatty acids and carbohydrates, in response to leaf spot of cotton. The principal component analysis (PCA), orthogonal partial least squares discriminant analysis (OPLS-DA) and partial least squares discriminant analysis (PLS-DA) score plots illustrated the evidences of variation between two varieties of cotton under mock and pathogen inoculated treatments. Primary metabolism was affected by the up regulation of pyruvate and malate and by the accumulation of carbohydrates like cellobiose and inulobiose. Among 241 resistance related (RR) metabolites, 18 were identified as resistance related constitutive (RRC) and 223 as resistance related induced (RRI) metabolites. Several RRI metabolites, identified in the present study were the precursors for many secondary metabolic pathways. These included phenylpropanoids (stilbenes and furanocoumarin), flavonoids (phlorizin and kaempferol), alkaloids (indolizine and acetylcorynoline) and terpenoids (azelaic acid and oleanolic acid). Our results demonstrated that secondary metabolism, primary metabolism and energy metabolism were more active in resistant cultivar, as compared to sensitive cultivar. Differential protein and fatty acid metabolism was also depicted in both cultivars. Accumulation of these defense related metabolites in resistant cotton cultivar and their suppression in susceptible cotton cultivar revealed the reason of their respective tolerance and susceptibility against A. tubingensis.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0228675</identifier><identifier>PMID: 32049975</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Abiotic stress ; Accumulation ; Alkaloids ; Aspergillus - pathogenicity ; Biology and Life Sciences ; Carbohydrates ; Cellobiose ; Chromatography ; Cotton ; Coumarins - metabolism ; Crop diseases ; Cultivars ; Discriminant analysis ; Disease Resistance ; Energy metabolism ; Experiments ; Fatty acids ; Fatty Acids - metabolism ; Flavonoids ; Flavonoids - metabolism ; Genomes ; Gossypium - metabolism ; Gossypium - microbiology ; High performance liquid chromatography ; Instrument industry (Equipment) ; International economic relations ; Isoflavones ; Kaempferol ; Leafspot ; Least squares ; Life sciences ; Liquid chromatography ; Malate ; Mass spectrometry ; Mass spectroscopy ; Metabolic pathways ; Metabolism ; Metabolites ; Metabolome ; Metabolomics ; Oleanolic acid ; Pathogens ; Pathways ; Phenylpropanoids ; Physical Sciences ; Physiological aspects ; Plant Leaves - metabolism ; Plant Leaves - microbiology ; Plant sciences ; Principal components analysis ; Profiling ; Protein turnover ; Pyruvic acid ; Reason ; Seeds ; Spectroscopy ; Stilbenes - metabolism ; Terpenes ; Terpenes - metabolism</subject><ispartof>PloS one, 2020-02, Vol.15 (2), p.e0228675-e0228675</ispartof><rights>COPYRIGHT 2020 Public Library of Science</rights><rights>2020 Khizar et al. 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Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Khizar, Maria</au><au>Shi, Jianxin</au><au>Saleem, Sadia</au><au>Liaquat, Fiza</au><au>Ashraf, Muhammad</au><au>Latif, Sadia</au><au>Haroon, Urooj</au><au>Hassan, Syed Waqas</au><au>Rehman, Shafiq Ur</au><au>Chaudhary, Hassan Javed</au><au>Quraishi, Umar Masood</au><au>Munis, Muhammad Farooq Hussain</au><au>Ulaganathan, Kandasamy</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Resistance associated metabolite profiling of Aspergillus leaf spot in cotton through non-targeted metabolomics</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2020-02-12</date><risdate>2020</risdate><volume>15</volume><issue>2</issue><spage>e0228675</spage><epage>e0228675</epage><pages>e0228675-e0228675</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Aspergillus tubingensis is an important pathogen of economically important crops. Different biotic stresses strongly influence the balance of metabolites in plants. The aim of this study was to understand the function and response of resistance associated metabolites which, in turn are involved in many secondary metabolomics pathways to influence defense mechanism of cotton plant. Analysis of non-targeted metabolomics using ultra high performance liquid chromatography-mass spectrometry (UPLC-MS) revealed abundant accumulation of key metabolites including flavonoids, phenylpropanoids, terpenoids, fatty acids and carbohydrates, in response to leaf spot of cotton. The principal component analysis (PCA), orthogonal partial least squares discriminant analysis (OPLS-DA) and partial least squares discriminant analysis (PLS-DA) score plots illustrated the evidences of variation between two varieties of cotton under mock and pathogen inoculated treatments. Primary metabolism was affected by the up regulation of pyruvate and malate and by the accumulation of carbohydrates like cellobiose and inulobiose. Among 241 resistance related (RR) metabolites, 18 were identified as resistance related constitutive (RRC) and 223 as resistance related induced (RRI) metabolites. Several RRI metabolites, identified in the present study were the precursors for many secondary metabolic pathways. These included phenylpropanoids (stilbenes and furanocoumarin), flavonoids (phlorizin and kaempferol), alkaloids (indolizine and acetylcorynoline) and terpenoids (azelaic acid and oleanolic acid). Our results demonstrated that secondary metabolism, primary metabolism and energy metabolism were more active in resistant cultivar, as compared to sensitive cultivar. Differential protein and fatty acid metabolism was also depicted in both cultivars. Accumulation of these defense related metabolites in resistant cotton cultivar and their suppression in susceptible cotton cultivar revealed the reason of their respective tolerance and susceptibility against A. tubingensis.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>32049975</pmid><doi>10.1371/journal.pone.0228675</doi><tpages>e0228675</tpages><orcidid>https://orcid.org/0000-0002-6897-2012</orcidid><oa>free_for_read</oa></addata></record>
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subjects Abiotic stress
Accumulation
Alkaloids
Aspergillus - pathogenicity
Biology and Life Sciences
Carbohydrates
Cellobiose
Chromatography
Cotton
Coumarins - metabolism
Crop diseases
Cultivars
Discriminant analysis
Disease Resistance
Energy metabolism
Experiments
Fatty acids
Fatty Acids - metabolism
Flavonoids
Flavonoids - metabolism
Genomes
Gossypium - metabolism
Gossypium - microbiology
High performance liquid chromatography
Instrument industry (Equipment)
International economic relations
Isoflavones
Kaempferol
Leafspot
Least squares
Life sciences
Liquid chromatography
Malate
Mass spectrometry
Mass spectroscopy
Metabolic pathways
Metabolism
Metabolites
Metabolome
Metabolomics
Oleanolic acid
Pathogens
Pathways
Phenylpropanoids
Physical Sciences
Physiological aspects
Plant Leaves - metabolism
Plant Leaves - microbiology
Plant sciences
Principal components analysis
Profiling
Protein turnover
Pyruvic acid
Reason
Seeds
Spectroscopy
Stilbenes - metabolism
Terpenes
Terpenes - metabolism
title Resistance associated metabolite profiling of Aspergillus leaf spot in cotton through non-targeted metabolomics
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