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Sex-specific and multi-generational effects of an optimized diet

Total Cost €


EC-Contrib. €






 SESAME project word cloud

Explore the words cloud of the SESAME project. It provides you a very rough idea of what is the project "SESAME" about.

dietary    coding    fact    harness    organisms    predict    despite    transition    sex    parental    alone    organism    nutrition    roles    genes    natural    builds    sequence    filled    gap    portions    biology    questions    matched    transmitted    edge    generations    genomic    shaped    springboard    uncovering    maximise    reproductive    translated    exome    expands    reproduction    amino    populations    expertise    independent    conflict    experimental    explored    evolutionary    optimal    interacting    diets    environments    strategies    universities    genetic    skills    resolve    date    principally    group    sexual    dna    ecology    accepted    evident    heritable    centre    created    australia    offspring    changing    climate    social    extinction    content    outstanding    serve    spanish    little    acid    diet    academic    prepare    inheritance    understand    mechanisms    environmental    it    variedly    act    framework    fundamentally    leader    components    yield    adapt    longevity    aren    cutting   

Project "SESAME" data sheet

The following table provides information about the project.


Organization address
address: CALLE SERRANO 117
city: MADRID
postcode: 28006

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Spain [ES]
 Total cost 269˙939 €
 EC max contribution 269˙939 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2018
 Funding Scheme MSCA-IF-GF
 Starting year 2020
 Duration (year-month-day) from 2020-01-01   to  2022-12-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 


 Project objective

It is a well-accepted concept that organisms aren’t shaped by their genes alone, but respond variedly to different environments. In recent years it has become evident that these responses to environments are in fact heritable and can be transmitted across generations. In rapidly changing environments this may have important consequences for the ability of populations to adapt and avoid extinction. To date, we know very little about the role of non-genetic mechanisms on adaptation and evolutionary processes, a gap that needs to be filled if we want to be able to understand and predict how climate change is going to affect natural populations. Here, I will harness an emerging framework for the study of dietary ecology, in which diets that maximise components of reproduction and longevity can be created, based on the amino acid content of the translated exome (i.e., the DNA sequence of the coding portions of genes) of an organism. This so-called “exome-matched” diet will help to resolve outstanding questions in the rapidly developing field of non-genetic inheritance, principally by uncovering the role of non-genetic effects in evolutionary adaptation. In addition, sex-specific effects may serve to prepare offspring for environmental conditions in a sex-specific way, but despite fundamentally different reproductive strategies the interacting roles of parental and offspring sex is so far under explored. The project builds upon my expertise with social and diet-induced effects and expands my skills into the fields of optimal nutrition and sexual conflict. Using cutting edge experimental and genomic approaches in collaboration with a major Spanish Research Centre and one of Australia’s top Universities, this project will yield high impact results in evolutionary biology, and act as a springboard for my own academic development, facilitating my transition to becoming an independent group leader.

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The information about "SESAME" are provided by the European Opendata Portal: CORDIS opendata.

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