ArticleBMC plant biology2025
Integration of lipidomics and widely targeted metabolomics provides a comprehensive metabolic landscape of Poa pratensis under cadmium stress.
Article in BMC plant biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Integrated Methylome and Transcriptome Analyses Reveal Methylation-Associated Cadmium Stress Responses inPlants (Basel, Switzerland) · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
backgroundSoil cadmium (Cd) contamination poses significant environmental challenges globally. Kentucky bluegrass is considered a viable plant for remediating Cd-contaminated soils due to its high tolerance to Cd and accumulation capacity. Yet, the complete metabolic landscape underlying Cd detoxification mechanisms of Kentucky bluegrass remains incompletely understood.
resultsHere, widely targeted metabolomics was used to identify key metabolites of Kentucky bluegrass that were responsive to Cd stress in comparisons between Cd-resistant (M) and sensitive (R) varieties. Moreover, lipidomics analyses were used to assess the content, composition, and saturation levels of lipid molecular species. The M variety exhibited higher levels of free amino acids, saccharides, and flavonoids (flavones, flavonols, isoflavones, and flavanones) after Cd stress that likely enhance its tolerance to Cd stress. Within the M variety, 183 lipid species (81%) were less abundant after Cd stress, representing a much larger number than the 81 lipid species (41.54%) similarly less abundant in the R variety. The lipid species with increased abundances primarily comprised diacylglycerols, monogalactosyldiacylglycerol, phosphatidylcholine, triacylglycerol, and lysophosphatidylcholine that exhibited higher saturation levels. Conversely, the lipid species with decreased abundances largely comprised those with shorter acyl chains including free fatty acids, phosphatidic acid, and lysophosphatidic acid, as well as those with higher unsaturation levels, including phosphatidylglycerol, diacylglycerol, triacylglycerol, phosphatidylcholine, and lysophosphatidylcholine. The elongation of these lipid acyl chains under Cd stress contributes to the increased membrane thickness and rigidity in Kentucky bluegrass, resulting from the dense packing of hydrophobic tails and enhanced lipid-lipid interactions. The changes in these metabolites and lipids may play a significant role in enhancing Cd tolerance, distribution, and accumulation in Kentucky bluegrass.
conclusionThe results of this study provide a comprehensive metabolite profile for Kentucky bluegrass in response to Cd stress, elucidating the key metabolite characteristics essential for Cd detoxification under Cd-induced stress. Furthermore, the results provide insights into the metabolic regulation of metabolites and lipid homeostasis that contribute to enhanced Cd tolerance in Kentucky bluegrass.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.