Compound co-occurrence and biosynthetic inference
Identifieur interne : 00C380 ( Main/Exploration ); précédent : 00C379; suivant : 00C381Compound co-occurrence and biosynthetic inference
Auteurs : James E. Rodman [États-Unis]Source :
- Biochemical Systematics and Ecology [ 0305-1978 ] ; 1987.
English descriptors
- KwdEn :
- Allyl, Allylglucosinolate composition, Artificial hybrids, Biosynthesis, Biosynthetic, Biosynthetic linkage, Biosynthetic linkages, Biosynthetic pathways, Biosynthetic relationship, Biosynthetic relationships, Biosynthetically, Cakile, Carrot cultivars, Chain extension, Compound, Correlated, Correlated compounds, Correlated pairs, Correlation analyses, Dataset, Double bond, Double bond formation, First dataset, Genus cakile, Geographic range, Glucosinolates, Hybrid, Independent evidence, Linkage, Myrcene content, Negative correlation, Negative correlations, Negative regression, Other classes, Pairwise combinations, Percentage composition data, Positive correlation, Positive regression, Possible categories, Possible pairwise combinations, Proportional relationship, Random distribution, Rodman, Rodman table, Same biosynthetic reaction sequence, Second dataset, Secondary metabolites, Significant chain, Significant correlations, Spurious correlations, Substitutional relationship, Taxon, Terpenoids, Zavarin.
- Teeft :
- Allyl, Allylglucosinolate composition, Artificial hybrids, Biosynthesis, Biosynthetic, Biosynthetic linkage, Biosynthetic linkages, Biosynthetic pathways, Biosynthetic relationship, Biosynthetic relationships, Biosynthetically, Cakile, Carrot cultivars, Chain extension, Compound, Correlated, Correlated compounds, Correlated pairs, Correlation analyses, Dataset, Double bond, Double bond formation, First dataset, Genus cakile, Geographic range, Glucosinolates, Hybrid, Independent evidence, Linkage, Myrcene content, Negative correlation, Negative correlations, Negative regression, Other classes, Pairwise combinations, Percentage composition data, Positive correlation, Positive regression, Possible categories, Possible pairwise combinations, Proportional relationship, Random distribution, Rodman, Rodman table, Same biosynthetic reaction sequence, Second dataset, Secondary metabolites, Significant chain, Significant correlations, Spurious correlations, Substitutional relationship, Taxon, Terpenoids, Zavarin.
Abstract
Abstract: Zavarin suggested that co-occurrence of terpenoids in plants provides an indication of likely biosynthetic relationships when enzymatic and tracer results are unavailable to determine the matter. Zavarin's proposal is here evaluated with data from another class of secondary metabolites, the glucosinolates, where biosynthetic pathways are well known. Three datasets from taxa of Cakile and Streptanthus (Cruciferae) were analyzed statistically with SPSS programs. Pair-wise comparisons of compounds tested their assignment to one of three possible categories: related by one-carbon chain extension; related by cleavage of terminal methylthio-group to produce a double bond; or no close relationship. While one dataset showed a tendency for chain-extended compounds to correlate significantly, the data exhibited no strong indication overall that co-occurring compounds were any more likely to be biosynthetically linked than not. Furthermore, contrasting positive and negative correlations for biosynthetically related pairs indicated that co-occurrence did not track mechanisms of biosynthesis. Hence, compound co-occurrence by itself provides no clear guide to biosynthetic relationships. By analogy, similar results can be expected for other classes of diverse secondary metabolites such as flavonoids and terpenoids.
Url:
DOI: 10.1016/0305-1978(87)90013-5
Affiliations:
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Le document en format XML
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Rodman</name></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:D4980FBEBE37A6AA4C7AA4153C75CFF736CA1F03</idno><date when="1987" year="1987">1987</date><idno type="doi">10.1016/0305-1978(87)90013-5</idno><idno type="url">https://api.istex.fr/document/D4980FBEBE37A6AA4C7AA4153C75CFF736CA1F03/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">006973</idno><idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Corpus" wicri:corpus="ISTEX">006973</idno><idno type="wicri:Area/Istex/Curation">006973</idno><idno type="wicri:Area/Istex/Checkpoint">005B70</idno><idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Checkpoint">005B70</idno><idno type="wicri:doubleKey">0305-1978:1987:Rodman J:compound:co:occurrence</idno><idno type="wicri:Area/Main/Merge">00CB65</idno><idno type="wicri:Area/Main/Curation">00C380</idno><idno type="wicri:Area/Main/Exploration">00C380</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a">Compound co-occurrence and biosynthetic inference</title><author><name sortKey="Rodman, James E" sort="Rodman, James E" uniqKey="Rodman J" first="James E." last="Rodman">James E. Rodman</name><affiliation wicri:level="2"><country xml:lang="fr">États-Unis</country><wicri:regionArea>Systematic Biology Program, National Science Foundation, Washington, DC 20550</wicri:regionArea><placeName><region type="state">District de Columbia</region></placeName></affiliation></author></analytic><monogr></monogr><series><title level="j">Biochemical Systematics and Ecology</title><title level="j" type="abbrev">BSE</title><idno type="ISSN">0305-1978</idno><imprint><publisher>ELSEVIER</publisher><date type="published" when="1987">1987</date><biblScope unit="volume">15</biblScope><biblScope unit="issue">3</biblScope><biblScope unit="page" from="365">365</biblScope><biblScope unit="page" to="372">372</biblScope></imprint><idno type="ISSN">0305-1978</idno></series></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0305-1978</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Allyl</term><term>Allylglucosinolate composition</term><term>Artificial hybrids</term><term>Biosynthesis</term><term>Biosynthetic</term><term>Biosynthetic linkage</term><term>Biosynthetic linkages</term><term>Biosynthetic pathways</term><term>Biosynthetic relationship</term><term>Biosynthetic relationships</term><term>Biosynthetically</term><term>Cakile</term><term>Carrot cultivars</term><term>Chain extension</term><term>Compound</term><term>Correlated</term><term>Correlated compounds</term><term>Correlated pairs</term><term>Correlation analyses</term><term>Dataset</term><term>Double bond</term><term>Double bond formation</term><term>First dataset</term><term>Genus cakile</term><term>Geographic range</term><term>Glucosinolates</term><term>Hybrid</term><term>Independent evidence</term><term>Linkage</term><term>Myrcene content</term><term>Negative correlation</term><term>Negative correlations</term><term>Negative regression</term><term>Other classes</term><term>Pairwise combinations</term><term>Percentage composition data</term><term>Positive correlation</term><term>Positive regression</term><term>Possible categories</term><term>Possible pairwise combinations</term><term>Proportional relationship</term><term>Random distribution</term><term>Rodman</term><term>Rodman table</term><term>Same biosynthetic reaction sequence</term><term>Second dataset</term><term>Secondary metabolites</term><term>Significant chain</term><term>Significant correlations</term><term>Spurious correlations</term><term>Substitutional relationship</term><term>Taxon</term><term>Terpenoids</term><term>Zavarin</term></keywords><keywords scheme="Teeft" xml:lang="en"><term>Allyl</term><term>Allylglucosinolate composition</term><term>Artificial hybrids</term><term>Biosynthesis</term><term>Biosynthetic</term><term>Biosynthetic linkage</term><term>Biosynthetic linkages</term><term>Biosynthetic pathways</term><term>Biosynthetic relationship</term><term>Biosynthetic relationships</term><term>Biosynthetically</term><term>Cakile</term><term>Carrot cultivars</term><term>Chain extension</term><term>Compound</term><term>Correlated</term><term>Correlated compounds</term><term>Correlated pairs</term><term>Correlation analyses</term><term>Dataset</term><term>Double bond</term><term>Double bond formation</term><term>First dataset</term><term>Genus cakile</term><term>Geographic range</term><term>Glucosinolates</term><term>Hybrid</term><term>Independent evidence</term><term>Linkage</term><term>Myrcene content</term><term>Negative correlation</term><term>Negative correlations</term><term>Negative regression</term><term>Other classes</term><term>Pairwise combinations</term><term>Percentage composition data</term><term>Positive correlation</term><term>Positive regression</term><term>Possible categories</term><term>Possible pairwise combinations</term><term>Proportional relationship</term><term>Random distribution</term><term>Rodman</term><term>Rodman table</term><term>Same biosynthetic reaction sequence</term><term>Second dataset</term><term>Secondary metabolites</term><term>Significant chain</term><term>Significant correlations</term><term>Spurious correlations</term><term>Substitutional relationship</term><term>Taxon</term><term>Terpenoids</term><term>Zavarin</term></keywords></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Abstract: Zavarin suggested that co-occurrence of terpenoids in plants provides an indication of likely biosynthetic relationships when enzymatic and tracer results are unavailable to determine the matter. Zavarin's proposal is here evaluated with data from another class of secondary metabolites, the glucosinolates, where biosynthetic pathways are well known. Three datasets from taxa of Cakile and Streptanthus (Cruciferae) were analyzed statistically with SPSS programs. Pair-wise comparisons of compounds tested their assignment to one of three possible categories: related by one-carbon chain extension; related by cleavage of terminal methylthio-group to produce a double bond; or no close relationship. While one dataset showed a tendency for chain-extended compounds to correlate significantly, the data exhibited no strong indication overall that co-occurring compounds were any more likely to be biosynthetically linked than not. Furthermore, contrasting positive and negative correlations for biosynthetically related pairs indicated that co-occurrence did not track mechanisms of biosynthesis. Hence, compound co-occurrence by itself provides no clear guide to biosynthetic relationships. By analogy, similar results can be expected for other classes of diverse secondary metabolites such as flavonoids and terpenoids.</div></front></TEI><affiliations><list><country><li>États-Unis</li></country><region><li>District de Columbia</li></region></list><tree><country name="États-Unis"><region name="District de Columbia"><name sortKey="Rodman, James E" sort="Rodman, James E" uniqKey="Rodman J" first="James E." last="Rodman">James E. Rodman</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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