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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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. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2020 Khizar et al 2020 Khizar et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-5cd1bce611f3c69314858ffce149829248acbf9dd95e172775306d63e69647e23</citedby><cites>FETCH-LOGICAL-c692t-5cd1bce611f3c69314858ffce149829248acbf9dd95e172775306d63e69647e23</cites><orcidid>0000-0002-6897-2012</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7015376/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7015376/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32049975$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Ulaganathan, Kandasamy</contributor><creatorcontrib>Khizar, Maria</creatorcontrib><creatorcontrib>Shi, Jianxin</creatorcontrib><creatorcontrib>Saleem, Sadia</creatorcontrib><creatorcontrib>Liaquat, Fiza</creatorcontrib><creatorcontrib>Ashraf, Muhammad</creatorcontrib><creatorcontrib>Latif, Sadia</creatorcontrib><creatorcontrib>Haroon, Urooj</creatorcontrib><creatorcontrib>Hassan, Syed Waqas</creatorcontrib><creatorcontrib>Rehman, Shafiq Ur</creatorcontrib><creatorcontrib>Chaudhary, Hassan Javed</creatorcontrib><creatorcontrib>Quraishi, Umar Masood</creatorcontrib><creatorcontrib>Munis, Muhammad Farooq Hussain</creatorcontrib><title>Resistance associated metabolite profiling of Aspergillus leaf spot in cotton through non-targeted metabolomics</title><title>PloS one</title><addtitle>PLoS One</addtitle><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.</description><subject>Abiotic stress</subject><subject>Accumulation</subject><subject>Alkaloids</subject><subject>Aspergillus - pathogenicity</subject><subject>Biology and Life Sciences</subject><subject>Carbohydrates</subject><subject>Cellobiose</subject><subject>Chromatography</subject><subject>Cotton</subject><subject>Coumarins - metabolism</subject><subject>Crop diseases</subject><subject>Cultivars</subject><subject>Discriminant analysis</subject><subject>Disease Resistance</subject><subject>Energy metabolism</subject><subject>Experiments</subject><subject>Fatty acids</subject><subject>Fatty Acids - metabolism</subject><subject>Flavonoids</subject><subject>Flavonoids - metabolism</subject><subject>Genomes</subject><subject>Gossypium - metabolism</subject><subject>Gossypium - microbiology</subject><subject>High performance liquid chromatography</subject><subject>Instrument industry (Equipment)</subject><subject>International economic relations</subject><subject>Isoflavones</subject><subject>Kaempferol</subject><subject>Leafspot</subject><subject>Least squares</subject><subject>Life sciences</subject><subject>Liquid chromatography</subject><subject>Malate</subject><subject>Mass spectrometry</subject><subject>Mass spectroscopy</subject><subject>Metabolic pathways</subject><subject>Metabolism</subject><subject>Metabolites</subject><subject>Metabolome</subject><subject>Metabolomics</subject><subject>Oleanolic acid</subject><subject>Pathogens</subject><subject>Pathways</subject><subject>Phenylpropanoids</subject><subject>Physical Sciences</subject><subject>Physiological aspects</subject><subject>Plant Leaves - metabolism</subject><subject>Plant Leaves - microbiology</subject><subject>Plant sciences</subject><subject>Principal components analysis</subject><subject>Profiling</subject><subject>Protein turnover</subject><subject>Pyruvic acid</subject><subject>Reason</subject><subject>Seeds</subject><subject>Spectroscopy</subject><subject>Stilbenes - 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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> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2020-02, Vol.15 (2), p.e0228675-e0228675 |
issn | 1932-6203 1932-6203 |
language | eng |
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source | PubMed Central Free; MEDLINE; DOAJ Directory of Open Access Journals; Public Library of Science (PLoS) Journals Open Access; EZB-FREE-00999 freely available EZB journals; Free Full-Text Journals in Chemistry |
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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