Obiettivo
Through animal domestication humans profoundly altered their relationship with nature, controlling the breeding of their major food sources for material, social or symbolic profit. Understanding this complex process is a compelling research aim. There is a need to develop new high-resolution genetic tools to put flesh on the bones of this two-millenium long transition. These will take advantage of very recent advances: targeted next generation DNA sequencing, high throughput screening of expertly provenanced archaeological samples, and emerging knowledge of modern cattle, sheep and goat genome science plus their genetic geographies. Combining these, this proposal will develop an ancient DNA data matrix that will be unparalleled in archaeological science. These data will unlock the key genetic changes that accompany the domestic state and the breeding structures that are a consequence of human management. It will also identify the wild and proto-domestic populations that later herds emerge from. A more precise geography and timing of the key changes will enable richer contextualising inform our assessement of why these changes take place. The 10,000 year matrix for each species will function as a standard spatiotemporal reference grid on which any subsequent bone or animal artefact may be placed i.e. via genetic postcoding. Exceptional discontinuities in the matrix will highlight points of strong historical interest such as the emergence of new trade networks, migrations and periods of economic turbulence - perhaps driven by climate fluctuations or plagues. The final work objectives will focus on diachronic sample assemblages selected to have particular import for both historical events and transitions in material culture. For example, manuscript vellum samples will give a uniquely dated series that will enable correlation of genetic change with historical studies of the timing and impact of past animal plagues (e.g. in C 14th and C 18th Europe).
Campo scientifico (EuroSciVoc)
CORDIS classifica i progetti con EuroSciVoc, una tassonomia multilingue dei campi scientifici, attraverso un processo semi-automatico basato su tecniche NLP.
CORDIS classifica i progetti con EuroSciVoc, una tassonomia multilingue dei campi scientifici, attraverso un processo semi-automatico basato su tecniche NLP.
- scienze naturaliscienze biologichegeneticaDNA
- scienze umanistichestoria e archeologiaarcheologiaarcheometria
- scienze agricolescienze veterinarie e della produzione lattiero-caseariaanimali domesticizootecnia
- scienze naturaliscienze biologichegeneticagenomi
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Invito a presentare proposte
ERC-2011-ADG_20110406
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Meccanismo di finanziamento
ERC-AG - ERC Advanced GrantIstituzione ospitante
D02 CX56 Dublin
Irlanda