Dataset Information

Metabolic fingerprinting of different populations of Phyllanthus niruri L. from Punjab using electrospray ionization mass spectrometry (ESI–MS)

ABSTRACT: There is growing interest of healthcare and food industry in ingredients of plant origin as they are potent sources of antioxidant, anti-inflammatory, antimicrobial and anticancer agents. In the present work different extracts of Phyllanthus niruri L. from various regions of Punjab were screened for their phenolic profiles and antioxidant properties. Crude extracts obtained by solid–liquid extraction with different solvents were tested for total anthocyanins, flavonoids, phenolic content, and free radical scavenging activity. Out of all the solvents used, methanol was regarded as best to be used for soxhlet extraction of plant metabolites, as it provided highest phenolic, flavonoid, antioxidant, and anthocyanin contents. Similarly, ESI–MS was employed to obtain mass profiles of phenolic and other metabolites present in various P. niruri populations. Out of 72 compounds detected, 51 are reported for the first time in P. niruri L. Similarly, different populations of P. niruri were discriminated through metabolic fingerprinting using ESI–MS.

INSTRUMENT(S): LTQ XL (Thermo Scientific)

SUBMITTER: Navneet Kaur

PROVIDER: MTBLS224 | MetaboLights | 2017-01-31

REPOSITORIES: MetaboLights

ACCESS DATA

Dataset's files

Source:

Items per page:

1 - 5 of 24

Similar Datasets

Project description:Light conditions significantly influence grape berry ripening and the accumulation of phenolic compounds, but the underlying molecular basis remains partially understood. Here, we applied integrated transcriptomics and pathway-level metabolomics analyses to investigate the effect of cluster bagging during various developmental stages on phenolic metabolism in Cabernet Sauvignon grapes. Bagging treatments had limited effects on berry quality attributes at harvest and did not consistently affect phenolic acid biosynthesis between seasons. Significantly elevated flavan-3-ol and flavonol contents were detected in re-exposed berries after bagging during early-developmental stages, while bagging after véraison markedly inhibited skin anthocyanin accumulation. Several anthocyanin derivatives and flavonol glycosides were identified as marker phenolic metabolites for distinguishing bagged and non-bagged grapes. Coordinated transcriptional changes in the light signaling components CRY2 and HY5/HYHs, transcription regulator MYBA1, and enzymes LAR, ANR, UFGT and FLS4, coincided well with light-responsive biosynthesis of the corresponding flavonoids. The activation of multiple hormone signaling pathways after both light exclusion and re-exposure treatments was inconsistent with the changes in phenolic accumulation, indicating a limited role of plant hormones in mediating light/darkness-regulated phenolic biosynthesis processes. Furthermore, gene-gene and gene-metabolite network analyses discovered that the light-responsive expression of genes encoding bHLH, MYB, WRKY, NAC, and MADS-box transcription factors, and proteins involved in genetic information processing and epigenetic regulation such as nucleosome assembly and histone acetylation, showed a high positive correlation with grape berry phenolic accumulation in response to different light regimes. Altogether, our findings provide novel insights into the understanding of berry phenolic biosynthesis under light/darkness and practical guidance for improving grape features.

Project description:Pollinators are of crucial importance for maintaining biodiversity in ecosystems and for agriculture, including the Buff-tailed bumblebee Bombus terrestris. The health decline in these populations is thought to be linked to various abiotic and biotic stressors. In the hope of protecting these populations, deciphering their immune response in stress conditions represent a critical issue. To assess this metric, we analysed the bumblebee hemolymph, as a readout of the immune status. Here, we show in laboratory conditions that bacterial infections with two entomopathogenic strains and a well-recognised inducer of defence reactions in insects, impact the systemic immune response. Analysis of the hemolymph was carried out using a two-stage approach of mass spectrometry that combines MALDI molecular mass fingerprinting (MALDI MFP or MALDI-BeeTyping®) for its effectiveness in assessing the immune status of the bumblebee through a basic “blood” test and LC-ESI-MS/MS to measure the impact of our infectious models on the “haemoproteome”. By carrying out three different types of bacterial infections, we found that the bumblebee reacts in a specific way to bacterial attacks. Indeed, bacteria impact mortality and stimulate an immune response in infected individuals that is visible through changes in the molecular composition of their hemolymph. The characterisation and label-free quantification of proteins involved in specific signalling pathways in bumblebees by LC-ESI-MS/MS revealed differences in the protein expression between the non-experimentally infected and the infected bumblebees. Our results highlights differences in the molecular composition of their hemolymph to distinguish these different infections from non-experimentally infected bumblebees, and an alteration of pathways involved in (i) immunity and defences, (ii) the metabolism of carbohydrates (glycolysis), (iii) oxidative stress and (iv) amino acid biosynthesis. To conclude, we established bioinformatics models based on molecular markers reflecting the health status of these pollinators to enable diagnosis/prognosis at the population level in response to environmental stress.

			Action	DRS
	MTBLS224	Other
	14-5-28 AE.pdf	Pdf
	14-5-28 AM.pdf	Pdf
	14-5-28 Aa.pdf	Pdf
	14-5-28 BA.pdf	Pdf

Dataset Information

Metabolic fingerprinting of different populations of Phyllanthus niruri L. from Punjab using electrospray ionization mass spectrometry (ESI–MS)

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets