Natural variation of root exudates in Arabidopsis thaliana-linking metabolomic and genomic data. ↗
Mönchgesang S, Strehmel N, Schmidt S, Westphal L, Taruttis F, Müller E, Herklotz S, Neumann S, Scheel D.
Vad undersöktes?
- Hur undersöktes det?
- In this study, we analysed exudate metabolic patterns of Arabidopsis thaliana and their variation in genetically diverse accessions.
- Vilka undersöktes?
- the 19 parental accessions of the Arabidopsis MAGIC collection
- Vilken ämnesform?
- 9,12,13-trihydroxyoctadec-10-enoic acid
- Vilken mängd användes?
- Ingen uppgift i sammanställningen
- Hur länge pågick studien?
- Ingen uppgift i sammanställningen
Studieuppgifterna återges som originalcitat. Uppgifter som saknas här kan finnas i originalutdraget.
Vad kom studien fram till?
Författarna rapporterar att 9,12,13-trihydroxyoctadec-10-enoic acid inte påvisades i rotutsöndringar från accessionerna Edi-0 och Zu-0; frånvaron sammanföll med ett SNP-mönster som för in ett stoppkodon i en gen för long-chain-alcohol O-fatty-acyltransferase. Den omättade varianten påvisades däremot i dessa accessioner. Resultatet gäller växtaccessioner och rotutsöndringar, inte människor.
Vad behöver resultatet vägas mot?
Författarna beskriver ett samband mellan metabolitens frånvaro och ett SNP-mönster; utdraget fastställer inte att genvarianten ensam orsakar frånvaron. Underlaget omfattar endast utvalda artikelstycken; någon samlad bedömning kan inte göras.
Läs de originalstycken som sammanställningen bygger på
AbstractMany metabolomics studies focus on aboveground parts of the plant, while metabolism within roots and the chemical composition of the rhizosphere, as influenced by exudation, are not deeply investigated. In this study, we analysed exudate metabolic patterns of Arabidopsis thaliana and their variation in genetically diverse accessions. For this project, we used the 19 parental accessions of the Arabidopsis MAGIC collection. Plants were grown in a hydroponic system, their exudates were harvested before bolting and subjected to UPLC/ESI-QTOF-MS analysis. Metabolite profiles were analysed together with the genome sequence information. Our study uncovered distinct metabolite profiles for root exudates of the 19 accessions. Hierarchical clustering revealed similarities in the exudate metabolite profiles, which were partly reflected by the genetic distances. An association of metabolite absence with nonsense mutations was detected for the biosynthetic pathways of an indolic glucosinolate hydrolysis product, a hydroxycinnamic acid amine and a flavonoid triglycoside. Consequently, a direct link between metabolic phenotype and genotype was detected without using segregating populations. Moreover, genomics can help to identify biosynthetic enzymes in metabolomics experiments. Our study elucidates the chemical composition of the rhizosphere and its natural variation in A. thaliana, which is important for the attraction and shaping of microbial communities.
Matching metabolic and genetic patterns can indicate compound classThe hydroxylated fatty acid 9,12,13-trihydroxyoctadec-10-enoic acid (9,12,13-TriHOME, KEGG ) was not present in the exudates of Edi-0 and Zu-0 (). Its lack corresponds to a SNP pattern introducing a stop codon into a long-chain-alcohol O-fatty-acyltransferase gene (AT5G55360.1). The unsaturated variant 9,12,13-trihydroxyoctadec-10(E),15(Z)-enoic acid, however, could be detected in Edi-0 and Zu-0 exudates, but not in the Ct-1 accession, and accordingly, pointed to different polymorphism patterns. Besides, similar intensity distributions of both hydroxylated fatty acids were found across the exudates of the 19 accessions ().
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