Cereal Simulation
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB53392 | ENA |
REPOSITORIES: ENA
Similar Datasets
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Project description:The domestication and transmission of cereals is one of the most fundamental components of early farming, but direct evidence of their use in early culinary practices and economies has remained frustratingly elusive. Using analysis of a well-preserved Early Bronze Age wooden container from Switzerland, we propose novel criterial for the identification of cereal residues. Using gas chromatography mass spectrometry (GC-MS), we identified compounds typically associated with plant products, including a series of phenolic lipids (alkylresorcinols) found only at appreciable concentration in wheat and rye bran. The value of these lipids as cereal grain biomarkers were independently corroborated by the presence of macrobotanical remains embedded in the deposit, and wheat and rye endosperm peptides extracted from residue. These findings demonstrate the utility of a lipid-based biomarker for wheat and rye bran and offer a methodological template for future investigations of wider range of archaeological contexts. Alkylresorcinols provide a new tool for residue analysis which can help explore spread and exploitation of cereal grains, a economically fundamental component the advent and spread of farming.
2017-08-04 | PXD005908 | Pride
Project description:The legacy effect of cover crops on soil fungal populations in a cereal rotation
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Project description:Cereal aphids continue to be an important agricultural pest, with complex lifecycle and dispersal behaviours. Spatially-explicit models that are able to simulate flight initiation, movement direction, distance and timing of arrival of key aphid species can be highly valuable to area-wide pest management programmes. Here I present an overview of how knowledge about cereal aphid flight and migration can be utilized by mechanistic simulation models. This article identifies specific gaps in knowledge for researchers who may wish to further scientific understanding of aphid flight behaviour, whilst at the same time provides a synopsis of the knowledge requirements for a mechanistic approach applicable to the simulation of a wide range of insect species. Although they are one of the most comprehensively studied insect groups in entomology, it is only recently that our understanding of cereal aphid flight and migration has been translated effectively into spatially-explicit simulation models. There are now a multitude of examples available in the literature for modelling methods that address each of the four phases of the aerial transportation process (uplift, transport in the atmosphere, initial distribution, and subsequent movement). I believe it should now be possible to draw together this knowledgebase and the range of modelling methods available to simulate the entire process: integrating mechanistic simulations that estimate the initiation of migration events, with the large scale migration modelling of cereal aphids and their subsequent local movement.
| S-EPMC4337770 | biostudies-literature
Project description:Comprehensive Metabolomic Comparison of Five Cereal Vinegars Using Non-Targeted and Chemical Isotope Labeling LC-MS Analysis
2022-05-10 | MSV000089449 | MassIVE
Project description:In this study, the transcriptome of the introgression tomato breeding line BC5S2 and its parental line, Moneymaker (MM) were comparatively analyzed to identify candidate genes related to the differential induction effect of methyl-jasmonate (MeJA) on trichome-mediated resistance responses in these tomato lines.
2015-03-24 | E-MTAB-2898 | biostudies-arrayexpress
Project description:cereal vinegar sediment (CVS) was concentrated from solid-state fermentation cereal vinegar from Zhangjiajie, Hebei Province, China.
CVS metabolites were extracted by 80% methanol method.
Vanquish was used as LC source of this study.
2021-05-06 | MSV000087375 | GNPS
Project description:Saliva was collected from c.40,000 diet reared aphids, pooled and concentrated. Samples were coming from 2 aphid species: Metopolophium dirhodum and Sitobion avenae. Proteins were fractionated using SDS PAGE and visible bands were subjected to in gel digestion. Tryptic peptides were analysised on a Thermo LTQ-FT. Protein identification from the MS/MS data was performed using the TurboSEQUEST algorithm in BioWorks v. 3.2 (Thermo Fisher Scientific) to correlate the data against ACYPIproteins v2.1, the official protein set of the pea aphid genome assembly (33291 predicted protein models; accessed November 2011) available at http://www.aphidbase.com/aphidbase/downloads. The following search parameters were used: precursor-ion mass tolerance of 1.5 Da, fragment ion tolerance of 1.0 Da with methionine oxidation and cysteine carboxyamidomethylation specified as differential modifications and a maximum of two missed cleavage sites allowed. Two filters were applied: XCorr vs. charge state (1, 2, 3 and 4 = 1.50, 2.00, 2.50 and 3.00 respectively) and peptide probability (p<0.001). Matches with multiple unique peptides and a cumulative XCorr >20 are reported. PLoS One accepted: Proteomic profiling of cereal aphid saliva reveals ubiquitous and adaptative secreted proteins. Rao S.A.K., Carolan, J.C. and Wilkinson, T.L.W.
2013-04-09 | PXD000113 | Pride