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

T. Blackmore, I. Thomas, R. McMahon, W. Powell, M. Hegarty*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

19 Citations (Scopus)
19 Downloads (Pure)


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.
Original languageEnglish
Pages (from-to)1917-1932
Number of pages16
JournalTheoretical and Applied Genetics
Issue number10
Early online date21 Jun 2015
Publication statusPrint publication - Oct 2015
Externally publishedYes


  • Perennial Ryegrass
  • Cluster Position
  • Putative SNPs
  • Principal Component Analysis Plot
  • Lolium Perenne


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