Louise Bach Jensen

QTL mapping of vernalization response in perennial ryegrass (Lolium perenne L.) reveals co-location with an orthologue of wheat VRN1.

The objective of this study was to map quantitative trait loci (QTL) for the vernalization response in perennial ryegrass (Lolium perenne L.). The mapping population consisted of 184 F2 genotypes produced from a cross between one genotype of a synthetic perennial ryegrass variety “Veyo” and one genotype from the perennial ryegrass ecotype “Falster”. Veyo and Falster were chosen among four different populations because of their contrasting vernalization requirements. In total, five QTL for the vernalization response, measured as days to heading, were identified and mapped to linkage groups (LG) LG2, LG4, LG6 and LG7. Individually, these QTL explained between 5.4 and 28.0% of the total phenotypic variation. The overall contribution of these five QTL was 80% of the total phenotypic variation. A putative orthologue of Triticum monococcum VRN1 was amplified from genomic DNA from perennial ryegrass. PCR fragments covering the proximal part of the promoter and the 5′ end of the orthologue were subsequently PCR-amplified from both parents of the mapping population and shown to possess 95% DNA sequence identity to VRN1. Several polymorphisms were identified between Veyo and Falster in this fragment of the putative VRN1 orthologue. A CAPS marker, vrn-1, was developed and found to co-segregate with a major QTL on LG4 for the vernalization response. This indicates that the CAPS marker vrn-1 could be located in an orthologous gene of the wheat VRN1.

Vernalization Response in Perennial Ryegrass (Lolium perenne L.) Involves Orthologues of Diploid Wheat (Triticum monococcum) VRN1 and Rice (Oryza sativa) Hd1

Flowering time is important when adapting crop plants to different environments. While high feeding quality of forage grasses is facilitated by repression of flowering, flowering should also be inducible to facilitate grass seed production. Consequently, the identification and characterization of the genes controlling flowering time in forage grasses, including perennial ryegrass (Lolium perenne L.), is of great interest. In this study, three candidate genes for vernalization response genes in perennial ryegrass were identified based on DNA sequence homology to TmVRN1 and TmVRN2 of diploid wheat (Triticum monococcum), and Hd1 of rice (Oryza sativa). High sequence similarity between LpVRN1 and TmVRN1, co-localization of LpVRN1 with a major quantitative trait loci (QTL) for vernalization response in perennial ryegrass, synteny between map-positions of LpVRN1 and TmVRN1, mRNA expression analysis of LpVRN1 alleles during vernalization, and the correspondence between LpVRN1 mRNA expression levels and flowering time leads us to conclude that LpVRN1 is orthologous to TmVRN1 and that its function is conserved between diploid wheat and perennial ryegrass. Of the remaining two candidate genes, a putative Hd1 orthologue, LpCO, co-localized with a second QTL for vernlization response. LpCO has recently been shown to be involved in the photoperiodic regulation of flowering time. While epistasis, at the level of LpVRN1 transcription, was observed between the LpVRN1 and LpCO genomic regions, no differential expression of LpCO transcripts was observed during vernalization. While orthologous genes controlling flowering time can thus be identified, future allele sequencing efforts will reveal if causative polymorphisms are conserved across the grasses.

Genetic characterisation of seed yield and fertility traits in perennial ryegrass (Lolium perenne L.)

Seed yield is a trait of major interest for the key grassland species Lolium perenne L. An F2 mapping population of perennial ryegrass (VrnA), recently characterised for vernalisation response, was assessed in a glasshouse for traits related to seed yield based on a lattice design with four replications over 2 years. The traits heading date, plant height, length of panicles, number of panicles per plant, seed yield per panicle, flag leaf length, flag leaf width and seed yield per plant revealed repeatabilities ranging from 41 to 76% and a considerable amount of genetic variation in the VrnA population. Path analysis partitioned the direct and indirect effects of seed yield components on seed yield per plant. Seed yield per panicle showed the highest effect on total seed yield. The adjusted mean values of each trait and a genetic linkage map consisting of 97 anonymous and 85 gene associated DNA markers were used for quantitative trait loci (QTL) analysis. Of particular interest were two QTL on linkage group (LG) 1 and LG 2, explaining 41 and 18%, respectively, of the observed phenotypic variation for the trait seed yield per panicle. Both QTL co-located with two major QTL for total seed yield per plant possibly representing the S and Z loci of the gametophytic self incompatibility (SI) system of perennial ryegrass. The diversity of SI alleles in mapping parents and the degree of heterozygosity at SI loci in the full sib progeny determines the interference of self incompatibility with seed production.

“Blind” mapping of genic DNA sequence polymorphisms in Lolium perenne L. by high resolution melting curve analysis

High resolution melting curve analysis (HRM) measures dissociation of double stranded DNA of a PCR product amplified in the presence of a saturating fluorescence dye. Recently, HRM proved successful to genotype DNA sequence polymorphisms such as SSRs and SNPs based on the shape of the melting curves. In this study, HRM was used for simultaneous screening and genotyping of genic DNA sequence polymorphisms identified in the Lolium perenne F2 mapping population VrnA. Melting profiles of PCR products amplified from previously published gene loci and from a novel gene putatively involved in vernalization response successfully discriminated genotypes in absence of allelic sequence information, and allowed to determine allele segregation in VrnA. Here we introduce the concept of “blind” mapping based on HRM as a powerful, fast and cheap method to map any DNA sequence polymorphisms without prior knowledge of allelic sequences in the key grassland species perennial ryegrass (Lolium perenne L.).

Minimising inter-laboratory variation when constructing a unified molecular database of plant varieties in an allogamous crop.

The construction of large-scale databases of molecular profiles of plant varieties for variety identification and diversity analyses is of considerable interest. When varieties of an allogamous species such as oilseed rape are analysed and described using molecular markers such as microsatellites, care is needed to represent the variety in a meaningful yet useful way. It is possible to characterise such heterogeneous genotypes by analysing bulked samples comprising more than one individual seed or plant, but this approach may result in complex microsatellite profiles. Intuitively it would be reasonable to represent a variety by the common ‘major alleles’ in a profile, but how to define these ‘major alleles’ remains problematic. This paper describes methods of analysing DNA microsatellite data that will allow independent and objective data production at a number of laboratories. Methods for establishing allele scoring rules (thresholding) are described and the effect of these rules on the utility of the data is discussed.