Cross-Species Comparison of Metabolomics to Decipher the Metabolic Diversity in Ten Fruits
Fruits provide humans with multiple kinds of nutrients and protect humans against worldwide nutritional deficiency. Therefore, it is essential to understand the nutrient composition of various fruits in depth. In this study, we performed LC-MS-based non-targeted metabolomic analyses with ten kinds o...
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Veröffentlicht in: | Metabolites 2021-03, Vol.11 (3), p.164, Article 164 |
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description | Fruits provide humans with multiple kinds of nutrients and protect humans against worldwide nutritional deficiency. Therefore, it is essential to understand the nutrient composition of various fruits in depth. In this study, we performed LC-MS-based non-targeted metabolomic analyses with ten kinds of fruit, including passion fruit, mango, starfruit, mangosteen, guava, mandarin orange, grape, apple, blueberry, and strawberry. In total, we detected over 2500 compounds and identified more than 300 nutrients. Although the ten fruits shared 909 common-detected compounds, each species accumulated a variety of species-specific metabolites. Additionally, metabolic profiling analyses revealed a constant variation in each metabolite's content across the ten fruits. Moreover, we constructed a neighbor-joining tree using metabolomic data, which resembles the single-copy protein-based phylogenetic tree. This indicates that metabolome data could reflect the genetic relationship between different species. In conclusion, our work enriches knowledge on the metabolomics of fruits, and provides metabolic evidence for the genetic relationships among these fruits. |
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Therefore, it is essential to understand the nutrient composition of various fruits in depth. In this study, we performed LC-MS-based non-targeted metabolomic analyses with ten kinds of fruit, including passion fruit, mango, starfruit, mangosteen, guava, mandarin orange, grape, apple, blueberry, and strawberry. In total, we detected over 2500 compounds and identified more than 300 nutrients. Although the ten fruits shared 909 common-detected compounds, each species accumulated a variety of species-specific metabolites. Additionally, metabolic profiling analyses revealed a constant variation in each metabolite's content across the ten fruits. Moreover, we constructed a neighbor-joining tree using metabolomic data, which resembles the single-copy protein-based phylogenetic tree. This indicates that metabolome data could reflect the genetic relationship between different species. In conclusion, our work enriches knowledge on the metabolomics of fruits, and provides metabolic evidence for the genetic relationships among these fruits.</description><identifier>ISSN: 2218-1989</identifier><identifier>EISSN: 2218-1989</identifier><identifier>DOI: 10.3390/metabo11030164</identifier><identifier>PMID: 33809004</identifier><language>eng</language><publisher>BASEL: Mdpi</publisher><subject>Amino acids ; Biochemistry & Molecular Biology ; Chromatography ; Comparative analysis ; Evolution ; Flavonoids ; fruit ; Fruits ; Genetic relationship ; Life Sciences & Biomedicine ; Mass spectrometry ; Metabolism ; Metabolites ; metabolome ; Metabolomics ; non-targeted metabolomic analyses ; nutrient ; Nutrient deficiency ; Nutrients ; Phylogenetics ; Phylogeny ; Principal components analysis ; Science & Technology ; Scientific imaging ; Species ; Vitamin deficiency</subject><ispartof>Metabolites, 2021-03, Vol.11 (3), p.164, Article 164</ispartof><rights>2021. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2021 by the authors. 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>13</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000633868900001</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c550t-860ef6d57ecf4ccf396ca093588694d754b8d9e77161dabfb60657bca0046a4e3</citedby><cites>FETCH-LOGICAL-c550t-860ef6d57ecf4ccf396ca093588694d754b8d9e77161dabfb60657bca0046a4e3</cites><orcidid>0000-0003-3588-8743 ; 0009-0004-3816-4200</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/PMC8000971/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8000971/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,728,781,785,865,886,2103,2115,27929,27930,39263,53796,53798</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33809004$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Qi, Jinwei</creatorcontrib><creatorcontrib>Li, Kang</creatorcontrib><creatorcontrib>Shi, Yunxia</creatorcontrib><creatorcontrib>Li, Yufei</creatorcontrib><creatorcontrib>Dong, Long</creatorcontrib><creatorcontrib>Liu, Ling</creatorcontrib><creatorcontrib>Li, Mingyang</creatorcontrib><creatorcontrib>Ren, Hui</creatorcontrib><creatorcontrib>Liu, Xianqing</creatorcontrib><creatorcontrib>Fang, Chuanying</creatorcontrib><creatorcontrib>Luo, Jie</creatorcontrib><title>Cross-Species Comparison of Metabolomics to Decipher the Metabolic Diversity in Ten Fruits</title><title>Metabolites</title><addtitle>METABOLITES</addtitle><addtitle>Metabolites</addtitle><description>Fruits provide humans with multiple kinds of nutrients and protect humans against worldwide nutritional deficiency. Therefore, it is essential to understand the nutrient composition of various fruits in depth. In this study, we performed LC-MS-based non-targeted metabolomic analyses with ten kinds of fruit, including passion fruit, mango, starfruit, mangosteen, guava, mandarin orange, grape, apple, blueberry, and strawberry. In total, we detected over 2500 compounds and identified more than 300 nutrients. Although the ten fruits shared 909 common-detected compounds, each species accumulated a variety of species-specific metabolites. Additionally, metabolic profiling analyses revealed a constant variation in each metabolite's content across the ten fruits. Moreover, we constructed a neighbor-joining tree using metabolomic data, which resembles the single-copy protein-based phylogenetic tree. This indicates that metabolome data could reflect the genetic relationship between different species. In conclusion, our work enriches knowledge on the metabolomics of fruits, and provides metabolic evidence for the genetic relationships among these fruits.</description><subject>Amino acids</subject><subject>Biochemistry & Molecular Biology</subject><subject>Chromatography</subject><subject>Comparative analysis</subject><subject>Evolution</subject><subject>Flavonoids</subject><subject>fruit</subject><subject>Fruits</subject><subject>Genetic relationship</subject><subject>Life Sciences & Biomedicine</subject><subject>Mass spectrometry</subject><subject>Metabolism</subject><subject>Metabolites</subject><subject>metabolome</subject><subject>Metabolomics</subject><subject>non-targeted metabolomic analyses</subject><subject>nutrient</subject><subject>Nutrient deficiency</subject><subject>Nutrients</subject><subject>Phylogenetics</subject><subject>Phylogeny</subject><subject>Principal components analysis</subject><subject>Science & Technology</subject><subject>Scientific imaging</subject><subject>Species</subject><subject>Vitamin deficiency</subject><issn>2218-1989</issn><issn>2218-1989</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>HGBXW</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNks1v1DAQxSMEotW2V44oEhcklNaO468LEkopVCriQLlwsRxn3PUqiRfbKep_j9NtV11O-GLL85sne94rijcYnREi0fkISXceY0QQZs2L4riusaiwFPLls_NRcRrjBuXFEOUIvy6OCBFIItQcF7_a4GOsfmzBOIhl68etDi76qfS2_PagP_jRmVgmX15kaLuGUKY1PBWdKS_cHYTo0n3ppvIGpvIyzC7Fk-KV1UOE08d9Vfy8_HzTfq2uv3-5aj9dV4ZSlCrBEFjWUw7GNsZYIpnRSBIqBJNNz2nTiV4C55jhXne2Y4hR3mUGNUw3QFbF1U6393qjtsGNOtwrr516uPDhVumQnBlAYWSxxJYSjWlDOitQbbqaNxJzXvO6z1ofd1rbuRuhNzCloIcD0cPK5Nbq1t8pkccrOc4C7x8Fgv89Q0xqdNHAMOgJ_BxVTZGgHFPEMvruH3Tj5zDlUS0Uzg7VeQyr4mxHmcWoAHb_GIzUkgJ1mILc8Pb5F_b4k-cZEDvgD3Texuz7ZGCPLTHJKBNySQxuXdLJ-an185Ry64f_byV_AZABzkw</recordid><startdate>20210312</startdate><enddate>20210312</enddate><creator>Qi, Jinwei</creator><creator>Li, Kang</creator><creator>Shi, Yunxia</creator><creator>Li, Yufei</creator><creator>Dong, Long</creator><creator>Liu, Ling</creator><creator>Li, Mingyang</creator><creator>Ren, Hui</creator><creator>Liu, Xianqing</creator><creator>Fang, Chuanying</creator><creator>Luo, Jie</creator><general>Mdpi</general><general>MDPI AG</general><general>MDPI</general><scope>BLEPL</scope><scope>DTL</scope><scope>HGBXW</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QR</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>LK8</scope><scope>M7P</scope><scope>P64</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-3588-8743</orcidid><orcidid>https://orcid.org/0009-0004-3816-4200</orcidid></search><sort><creationdate>20210312</creationdate><title>Cross-Species Comparison of Metabolomics to Decipher the Metabolic Diversity in Ten Fruits</title><author>Qi, Jinwei ; 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Therefore, it is essential to understand the nutrient composition of various fruits in depth. In this study, we performed LC-MS-based non-targeted metabolomic analyses with ten kinds of fruit, including passion fruit, mango, starfruit, mangosteen, guava, mandarin orange, grape, apple, blueberry, and strawberry. In total, we detected over 2500 compounds and identified more than 300 nutrients. Although the ten fruits shared 909 common-detected compounds, each species accumulated a variety of species-specific metabolites. Additionally, metabolic profiling analyses revealed a constant variation in each metabolite's content across the ten fruits. Moreover, we constructed a neighbor-joining tree using metabolomic data, which resembles the single-copy protein-based phylogenetic tree. This indicates that metabolome data could reflect the genetic relationship between different species. 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subjects | Amino acids Biochemistry & Molecular Biology Chromatography Comparative analysis Evolution Flavonoids fruit Fruits Genetic relationship Life Sciences & Biomedicine Mass spectrometry Metabolism Metabolites metabolome Metabolomics non-targeted metabolomic analyses nutrient Nutrient deficiency Nutrients Phylogenetics Phylogeny Principal components analysis Science & Technology Scientific imaging Species Vitamin deficiency |
title | Cross-Species Comparison of Metabolomics to Decipher the Metabolic Diversity in Ten Fruits |
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