Dataset Information

GNPS - Lipidomics data for

ABSTRACT: We performed untargeted, high-resolution liquid chromatography-tandem mass spectrometry to generate lipidomic and proteomic profiles of eggs and larvae from three sea urchin species: the lecithotroph Heliocidaris erythrogramma, the closely-related planktotroph Heliocidaris tuberculata, and the more distantly-related planktotroph Lytechinus variegatus. We identify numerous molecular changes involving several previously undescribed physiological adaptations possibly associated with the evolution of lecithotrophic development including upregulated carbohydrate metabolism during embryonic development and long-term storage of maternally-derived diacylglycerol ether lipids for post-metamorphic survivorship. These findings demonstrate how mass spectrometry can enrich our understanding of life history evolution by identifying specific molecules associated with distinct life history strategies.

INSTRUMENT(S): Synapt G2 HDMS, ACQUITY UPLC

ORGANISM(S): Lytechinus Variegatus (ncbitaxon:7654) Heliocidaris Tuberculata (ncbitaxon:7635) Heliocidaris Erythrogramma (ncbitaxon:7634)

SUBMITTER: Gregory Wray Dr. J. Will Thompson

PROVIDER: MSV000082501 | GNPS | Mon Jun 25 10:17:00 BST 2018

REPOSITORIES: GNPS

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Restif2006 - Whooping cough This model is described in the article: Integrating life history and cross-immunity into the evolutionary dynamics of pathogens. Restif O, Grenfell BT. Proc. Biol. Sci. 2006 Feb; 273(1585): 409-416 Abstract: Models for the diversity and evolution of pathogens have branched into two main directions: the adaptive dynamics of quantitative life-history traits (notably virulence) and the maintenance and invasion of multiple, antigenically diverse strains that interact with the host's immune memory. In a first attempt to reconcile these two approaches, we developed a simple modelling framework where two strains of pathogens, defined by a pair of life-history traits (infectious period and infectivity), interfere through a given level of cross-immunity. We used whooping cough as a potential example, but the framework proposed here could be applied to other acute infectious diseases. Specifically, we analysed the effects of these parameters on the invasion dynamics of one strain into a population, where the second strain is endemic. Whereas the deterministic version of the model converges towards stable coexistence of the two strains in most cases, stochastic simulations showed that transient epidemic dynamics can cause the extinction of either strain. Thus ecological dynamics, modulated by the immune parameters, eventually determine the adaptive value of different pathogen genotypes. We advocate an integrative view of pathogen dynamics at the crossroads of immunology, epidemiology and evolution, as a way towards efficient control of infectious diseases. This version of the model can be used for both the stochastic and the deterministic simulations described in the article. For deterministic interpretations with infinite population sizes, set the population size N = 1. The model reproduces the deterministic time courses. Stochastic interpretation with Copasi UI gave results similar to the article, but was not extensively tested. The initial conditions for competition simulations can be derived by equilibrating the system for one pathogen and then adding a starting concentration for the other. Originally created by libAntimony v1.3 (using libSBML 4.1.0-b1) This model is hosted on BioModels Database and identified by: BIOMD0000000249. To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

Dataset Information

GNPS - Lipidomics data for

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets