Hola,
¿eres nuevo aquí?

Regístrate gratis y conecta tu empresa con financiación pública, partners y proyectos.

Tengo cuenta

Regístrate

Ver video

MAFRI

Financiado

Cerrado

Molecular Ancient Fish Remains Identification

One main issue facing fisheries management is uncertainty regarding how fish populations will respond to changes in fishers’ behaviour or the environment. With fish resources under increasing pressure, accurate, cumulative histori... ver más

08/06/2018

UNIVERSITY OF YORK

195K€

Presupuesto del proyecto: 195K€

Líder del proyecto

UNIVERSITY OF YORK No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2018-06-08

MSCA-IF-2014-EF: Marie Skłodowska-Curie Individual F...

I+D

Cerrada hace 10 años

0% 100%

Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

1 Participantes

UNIVERSITY OF YORK

195.45K€ | Lider

Proyectos interesantes

ORCA

Medical Technol...

Data Science

209K€ Cerrado

PID2019-104940GA-I00

Medical Technol...

Data Science

218K€ Cerrado

ParaKrill

Medical Technol...

Data Science

278K€ Cerrado

ABFT SNP

Medical Technol...

Data Science

158K€ Cerrado

CTM2013-48163-C2-2-R

Medical Technol...

Data Science

206K€ Cerrado

SSPIN

Medical Technol...

Data Science

150K€ Cerrado

Conecta tu I+D

¿Tienes un proyecto y buscas un partner? Gracias a nuestro motor inteligente podemos recomendarte los mejores socios y ponerte en contacto con ellos. Te lo explicamos en este video

Duración del proyecto: 35 meses Fecha Inicio: 2015-06-26
Fecha Fin: 2018-06-08

Líder del proyecto

UNIVERSITY OF YORK No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 195K€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto One main issue facing fisheries management is uncertainty regarding how fish populations will respond to changes in fishers’ behaviour or the environment. With fish resources under increasing pressure, accurate, cumulative histories of anthropogenic and environmental change are a key tool in developing effective management policies. Archaeology can help overcome this issue by providing detailed, long-range histories of local inshore fisheries and their exploitation by humans, but only if techniques for the identification and analysis of fishbone are refined. Fishbones are underrepresented in the archaeological literature because they are less stable than other taxa. Identification to species is often difficult or impossible. During my MSc I developed an identification system for fishbone: ZooMS (Zooarchaeology by Mass Spectrometry), based upon protein barcoding. As proteins can be cleaved enzymatically and analyzed by mass spectrometry in a repeatable way, protein barcoding is used widely for quick and inexpensive protein identification. Mass spectra reflect the differences in protein sequence and can therefore be reproducibly linked to a particular protein or fragment. Since I left the lab, this method for fish identification has stalled, despite earnest requests from the community for a robust method. ZooMS uses peptide fingerprinting of collagen as a method for rapid identification of archaeological bone. Identifying masses to peptides of known sequence is required. For mammals, sufficient sequence information is available, but, for freshwater fish, species are highly diverse and few sequences are available. This project will develop biomolecular techniques to overcome these hurdles, creating a database of fish collagen sequences and testing the method at several archaeological sites. With these new techniques archaeologists can provide more accurate histories of fisheries. The results will enhance our knowledge of part of our diet inform fisheries management.

Conecta tu I+D

Entra hoy

¿Olvidé mi contraseña?

Financiación

Empresas

CTIs/Universidades

Proyectos

Investigadores