Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/130706
Título: Utilising ancient DNA to understand crop population dynamics across a millennium: A case study of archaeological barley (Hordeum vulgare L.) from Gran Canaria, Spain
Autores/as: Hagenblad ,Jenny 
Morales Mateos, Jacob Bentejui 
Leino, Matti W.
Abbey-Lee, Robin
Rodríguez-Rodríguez, Amelia C.
Santana Cabrera, Jonathan Alberto 
Clasificación UNESCO: 550501 Arqueología
Palabras clave: Ancient Dna
Canary Islands
Genetic Diversity
Hordeum Vulgare
Landrace Crops, et al.
Fecha de publicación: 2024
Publicación seriada: Journal Of Archaeological Science
Resumen: Landraces are described as genetically diverse, dynamic populations of unimproved crops. However, studying the development of a landrace population over longer periods of time has rarely been done due to a lack of suitable archaeological materials. The indigenous grain silos of Gran Canaria provide a unique opportunity for genetically analysing multiple specimens from the same time period as well as sampling the same population at multiple time points. Here we report a genetic study of a landrace barley (Hordeum vulgare L.) sampled repeatedly over a period of 1400 years. We successfully enriched extracted aDNA for the barley exome using capture techniques and present sequencing data from ten archaeological and six extant samples. The results show that the landrace barley population of Gran Canaria has not undergone any dramatic genetic turnover or influx of new genetic material since the 7th century CE, but that the scale of cultivation seems to have varied. We detect smaller temporal changes of the genetic composition during the studied period and suggest that these changes reflect natural selection for adaptation to a changing climate and a dynamic agricultural society.
URI: http://hdl.handle.net/10553/130706
ISSN: 0305-4403
DOI: 10.1016/j.jas.2024.106001
Fuente: Journal Of Archaeological Science [ISSN 0305-4403], v. 167, (Julio 2024)
Colección:Artículos
Vista completa

Visitas

78
actualizado el 09-nov-2024

Google ScholarTM

Verifica

Altmetric


Comparte



Exporta metadatos



Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.