Genetic-geographic correlation revealed across a broad European ecotypic sample of perennial ryegrass (Lolium perenne) using array-based SNP genotyping

Tina Blackmore, Ianto Thomas, Robert McMahon, Wayne Powell, Matthew Hegarty

Allbwn ymchwil: Cyfraniad at gyfnodolynErthygladolygiad gan gymheiriaid

26 Dyfyniadau (Scopus)
145 Wedi eu Llwytho i Lawr (Pure)

Crynodeb

Key message: Publically available SNP array increases the marker density for genotyping of forage crop,Lolium perenne. Applied to 90 European ecotypes composed of 716 individuals identifies a significant genetic–geographic correlation. Abstract: Grassland ecosystems are ubiquitous across temperate and tropical regions, totalling 37 % of the terrestrial land cover of the planet, and thus represent a global resource for understanding local adaptations to environment. However, genomic resources for grass species (outside cereals) are relatively poor. The advent of next-generation DNA sequencing and high-density SNP genotyping platforms enables the development of dense marker assays for population genetics analyses and genome-wide association studies. A high-density SNP marker resource (Illumina Infinium assay) for perennial ryegrass (Lolium perenne) was created and validated in a broad ecotype collection of 716 individuals sampled from 90 sites across Europe. Genetic diversity within and between populations was assessed. A strong correlation of geographic origin to genetic structure was found using principal component analysis, with significant correlation to longitude and latitude (P < 0.001). The potential of this array as a resource for studies of germplasm diversity and identifying traits underpinning adaptive variation is highlighted.

Iaith wreiddiolSaesneg
Tudalennau (o-i)1917-1932
Nifer y tudalennau16
CyfnodolynTheoretical and Applied Genetics
Cyfrol128
Rhif cyhoeddi10
Dyddiad ar-lein cynnar21 Meh 2015
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 24 Hyd 2015

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