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Navigating natural variation in herbivory-induced secondary metabolism in coyote tobacco populations using MS/MS structural analysis
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| Veröffentlicht in: | Proceedings of the National Academy of Sciences of the United States of America 112(2015), 30, Seite E4147-E4155 |
|---|---|
| Personen und Körperschaften: | , , |
| Titel: | Navigating natural variation in herbivory-induced secondary metabolism in coyote tobacco populations using MS/MS structural analysis/ Dapeng Li, Ian T. Baldwin, Emmanuel Gaquerel |
| Format: | E-Book-Kapitel |
| Sprache: | Englisch |
| veröffentlicht: |
June 11, 2015
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| Gesamtaufnahme: |
National Academy of Sciences (Washington, DC): Proceedings of the National Academy of Sciences of the United States of America, 112(2015), 30, Seite E4147-E4155
, volume:112 |
| Quelle: | Verbunddaten SWB Lizenzfreie Online-Ressourcen |
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| 520 | |a Natural variation can be extremely useful in unraveling the determinants of phenotypic trait evolution but has rarely been analyzed with unbiased metabolic profiling to understand how its effects are organized at the level of biochemical pathways. Native populations of Nicotiana attenuata, a wild tobacco species, have been shown to be highly genetically diverse for traits important for their interactions with insects. To resolve the chemodiversity existing in these populations, we developed a metabolomics and computational pipeline to annotate leaf metabolic responses to Manduca sexta herbivory. We selected seeds from 43 accessions of different populations from the southwestern United States—including the well-characterized Utah 30th generation inbred accession—and grew 183 plants in the glasshouse for standardized herbivory elicitation. Metabolic profiles were generated from elicited leaves of each plant using a high-throughput ultra HPLC (UHPLC)-quadrupole TOFMS (qTOFMS) method, processed to systematically infer covariation patterns among biochemically related metabolites, as well as unknown ones, and finally assembled to map natural variation. Navigating this map revealed metabolic branch-specific variations that surprisingly only partly overlapped with jasmonate accumulation polymorphisms and deviated from canonical jasmonate signaling. Fragmentation analysis via indiscriminant tandem mass spectrometry (idMS/MS) was conducted with 10 accessions that spanned a large proportion of the variance found in the complete accession dataset, and compound spectra were computationally assembled into spectral similarity networks. The biological information captured by this networking approach facilitates the mining of the mass spectral data of unknowns with high natural variation, as demonstrated by the annotation of a strongly herbivory-inducible phenolic derivative, and can guide pathway analysis. | ||
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| contents | Natural variation can be extremely useful in unraveling the determinants of phenotypic trait evolution but has rarely been analyzed with unbiased metabolic profiling to understand how its effects are organized at the level of biochemical pathways. Native populations of Nicotiana attenuata, a wild tobacco species, have been shown to be highly genetically diverse for traits important for their interactions with insects. To resolve the chemodiversity existing in these populations, we developed a metabolomics and computational pipeline to annotate leaf metabolic responses to Manduca sexta herbivory. We selected seeds from 43 accessions of different populations from the southwestern United States—including the well-characterized Utah 30th generation inbred accession—and grew 183 plants in the glasshouse for standardized herbivory elicitation. Metabolic profiles were generated from elicited leaves of each plant using a high-throughput ultra HPLC (UHPLC)-quadrupole TOFMS (qTOFMS) method, processed to systematically infer covariation patterns among biochemically related metabolites, as well as unknown ones, and finally assembled to map natural variation. Navigating this map revealed metabolic branch-specific variations that surprisingly only partly overlapped with jasmonate accumulation polymorphisms and deviated from canonical jasmonate signaling. Fragmentation analysis via indiscriminant tandem mass spectrometry (idMS/MS) was conducted with 10 accessions that spanned a large proportion of the variance found in the complete accession dataset, and compound spectra were computationally assembled into spectral similarity networks. The biological information captured by this networking approach facilitates the mining of the mass spectral data of unknowns with high natural variation, as demonstrated by the annotation of a strongly herbivory-inducible phenolic derivative, and can guide pathway analysis. |
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| spelling | Li, Dapeng 1986- VerfasserIn (DE-588)1124709711 (DE-627)87892521X (DE-576)483109274 aut, Navigating natural variation in herbivory-induced secondary metabolism in coyote tobacco populations using MS/MS structural analysis Dapeng Li, Ian T. Baldwin, Emmanuel Gaquerel, June 11, 2015, 9, Text txt rdacontent, Computermedien c rdamedia, Online-Ressource cr rdacarrier, Gesehen am 08.06.2017, Natural variation can be extremely useful in unraveling the determinants of phenotypic trait evolution but has rarely been analyzed with unbiased metabolic profiling to understand how its effects are organized at the level of biochemical pathways. Native populations of Nicotiana attenuata, a wild tobacco species, have been shown to be highly genetically diverse for traits important for their interactions with insects. To resolve the chemodiversity existing in these populations, we developed a metabolomics and computational pipeline to annotate leaf metabolic responses to Manduca sexta herbivory. We selected seeds from 43 accessions of different populations from the southwestern United States—including the well-characterized Utah 30th generation inbred accession—and grew 183 plants in the glasshouse for standardized herbivory elicitation. Metabolic profiles were generated from elicited leaves of each plant using a high-throughput ultra HPLC (UHPLC)-quadrupole TOFMS (qTOFMS) method, processed to systematically infer covariation patterns among biochemically related metabolites, as well as unknown ones, and finally assembled to map natural variation. Navigating this map revealed metabolic branch-specific variations that surprisingly only partly overlapped with jasmonate accumulation polymorphisms and deviated from canonical jasmonate signaling. Fragmentation analysis via indiscriminant tandem mass spectrometry (idMS/MS) was conducted with 10 accessions that spanned a large proportion of the variance found in the complete accession dataset, and compound spectra were computationally assembled into spectral similarity networks. The biological information captured by this networking approach facilitates the mining of the mass spectral data of unknowns with high natural variation, as demonstrated by the annotation of a strongly herbivory-inducible phenolic derivative, and can guide pathway analysis., Baldwin, Ian T. 1958- VerfasserIn (DE-588)102710634X (DE-627)728270390 (DE-576)372477844 aut, Gaquerel, Emmanuel VerfasserIn (DE-588)1124181636 (DE-627)877879494 (DE-576)482380500 aut, Enthalten in National Academy of Sciences (Washington, DC) Proceedings of the National Academy of Sciences of the United States of America Washington, DC : National Acad. of Sciences, 1915 112(2015), 30, Seite E4147-E4155 Online-Ressource (DE-627)254235379 (DE-600)1461794-8 (DE-576)073260509 1091-6490 nnns, volume:112 year:2015 number:30 pages:E4147-E4155 extent:9, http://dx.doi.org/10.1073/pnas.1503106112 Verlag Resolving-System kostenfrei Volltext, http://www.pnas.org/content/112/30/E4147 Verlag kostenfrei Volltext, http://dx.doi.org/10.1073/pnas.1503106112 LFER, LFER 2017-06-08T00:00:00Z |
| spellingShingle | Li, Dapeng, Baldwin, Ian T., Gaquerel, Emmanuel, Navigating natural variation in herbivory-induced secondary metabolism in coyote tobacco populations using MS/MS structural analysis, Natural variation can be extremely useful in unraveling the determinants of phenotypic trait evolution but has rarely been analyzed with unbiased metabolic profiling to understand how its effects are organized at the level of biochemical pathways. Native populations of Nicotiana attenuata, a wild tobacco species, have been shown to be highly genetically diverse for traits important for their interactions with insects. To resolve the chemodiversity existing in these populations, we developed a metabolomics and computational pipeline to annotate leaf metabolic responses to Manduca sexta herbivory. We selected seeds from 43 accessions of different populations from the southwestern United States—including the well-characterized Utah 30th generation inbred accession—and grew 183 plants in the glasshouse for standardized herbivory elicitation. Metabolic profiles were generated from elicited leaves of each plant using a high-throughput ultra HPLC (UHPLC)-quadrupole TOFMS (qTOFMS) method, processed to systematically infer covariation patterns among biochemically related metabolites, as well as unknown ones, and finally assembled to map natural variation. Navigating this map revealed metabolic branch-specific variations that surprisingly only partly overlapped with jasmonate accumulation polymorphisms and deviated from canonical jasmonate signaling. Fragmentation analysis via indiscriminant tandem mass spectrometry (idMS/MS) was conducted with 10 accessions that spanned a large proportion of the variance found in the complete accession dataset, and compound spectra were computationally assembled into spectral similarity networks. The biological information captured by this networking approach facilitates the mining of the mass spectral data of unknowns with high natural variation, as demonstrated by the annotation of a strongly herbivory-inducible phenolic derivative, and can guide pathway analysis. |
| swb_id_str | 489554989 |
| title | Navigating natural variation in herbivory-induced secondary metabolism in coyote tobacco populations using MS/MS structural analysis |
| title_auth | Navigating natural variation in herbivory-induced secondary metabolism in coyote tobacco populations using MS/MS structural analysis |
| title_full | Navigating natural variation in herbivory-induced secondary metabolism in coyote tobacco populations using MS/MS structural analysis Dapeng Li, Ian T. Baldwin, Emmanuel Gaquerel |
| title_fullStr | Navigating natural variation in herbivory-induced secondary metabolism in coyote tobacco populations using MS/MS structural analysis Dapeng Li, Ian T. Baldwin, Emmanuel Gaquerel |
| title_full_unstemmed | Navigating natural variation in herbivory-induced secondary metabolism in coyote tobacco populations using MS/MS structural analysis Dapeng Li, Ian T. Baldwin, Emmanuel Gaquerel |
| title_in_hierarchy | Navigating natural variation in herbivory-induced secondary metabolism in coyote tobacco populations using MS/MS structural analysis / Dapeng Li, Ian T. Baldwin, Emmanuel Gaquerel, |
| title_short | Navigating natural variation in herbivory-induced secondary metabolism in coyote tobacco populations using MS/MS structural analysis |
| title_sort | navigating natural variation in herbivory induced secondary metabolism in coyote tobacco populations using ms ms structural analysis |
| url | http://dx.doi.org/10.1073/pnas.1503106112, http://www.pnas.org/content/112/30/E4147 |