Bayesian QTL analyses using pedigreed families of an outcrossing species, with application to fruit firmness in apple.

KEY MESSAGE: Proof of concept of Bayesian integrated QTL analyses across pedigree-related families from breeding programs of an outbreeding species. Results include QTL confidence intervals, individuals' genotype probabilities and genomic breeding values. Bayesian QTL linkage mapping approaches offer the flexibility to study multiple full sib families with known pedigrees simultaneously. Such a joint analysis increases the probability of detecting these quantitative trait loci (QTL) and provide insight of the magnitude of QTL across different genetic backgrounds. Here, we present an improved Bayesian multi-QTL pedigree-based approach on an outcrossing species using progenies with different (complex) genetic relationships. Different modeling assumptions were studied in the QTL analyses, i.e., the a priori expected number of QTL varied and polygenic effects were considered. The inferences include number of QTL, additive QTL effect sizes and supporting credible intervals, posterior probabilities of QTL genotypes for all individuals in the dataset, and QTL-based as well as genome-wide breeding values. All these features have been implemented in the FlexQTL(™) software. We analyzed fruit firmness in a large apple dataset that comprised 1,347 individuals forming 27 full sib families and their known ancestral pedigrees, with genotypes for 87 SSR markers on 17 chromosomes. We report strong or positive evidence for 14 QTL for fruit firmness on eight chromosomes, validating our approach as several of these QTL were reported previously, though dispersed over a series of studies based on single mapping populations. Interpretation of linked QTL was possible via individuals' QTL genotypes. The correlation between the genomic breeding values and phenotypes was on average 90 %, but varied with the number of detected QTL in a family. The detailed posterior knowledge on QTL of potential parents is critical for the efficiency of marker-assisted breeding.

Genetic diversity of Armillaria spp. infecting highbush blueberry in northern Italy (Trentino region).

Armillaria spp. are the causal agents of root rots of several woody plants, including highbush blueberry. Since 2003, highbush blueberry plants infected by Armillaria spp. have been found in Valsugana Valley, Trentino region, northern Italy. Our aim was to identify the Armillaria spp. involved in these infections, as well as possible sources of inoculum in blueberry fields. Samples of Armillaria spp. were collected from diseased blueberry plants in 13 infected blueberry fields, from bark spread along the blueberry rows, from infected trees in the vicinity of the fields, and from four forest locations. The identification of Armillaria spp. was accomplished using a species-specific multiplex polymerase chain reaction method and by sequencing the rDNA at a specific locus. The differentiation between genotypes was performed by using simple-sequence repeat analysis. Armillaria mellea and A. gallica were the most frequently observed species infecting blueberry in the Valsugana Valley. Three to eight Armillaria genotypes were identified in each blueberry field. No individual genotypes were found in more than one blueberry field. Two-thirds of the genotypes found colonizing trees in the immediate vicinity of infected fields and two-thirds of the genotypes found colonizing the bark spread in blueberry rows were also isolated from blueberry plants in the field, indicating that bark used as mulch and infected trees surrounding the fields may be important sources of inoculum.

Development of a High-Throughput Method for Quantification of Plasmopara viticola DNA in Grapevine Leaves by Means of Quantitative Real-Time Polymerase Chain Reaction.

ABSTRACT Plasmopara viticola is a strictly biotrophic oomycete that causes downy mildew, which is one of the most important grapevine diseases. Control of the disease is most often achieved by fungicide applications, which may have severe environmental consequences. Therefore, alternative control strategies based on biocontrol agents (BCAs) are currently in development. Thousands of potential BCAs have to be screened for their antagonist efficacy against Plasmopara viticola. Evaluation of their effect on the pathogen can be achieved by detecting the amount of P. viticola DNA in leaves treated with potential antagonists and infected with the pathogen. In this study, a rapid high-throughput method was developed for relative quantification of P. viticola DNA directly from Vitis vinifera leaves by means of multiplex real-time quantitative polymerase chain reaction (PCR) with TaqMan chemistry. This method allows simultaneous amplification, but independent detection, of pathogen and host DNA by using species-specific primers and TaqMan probes that are labeled with different fluorescent dyes. Including detection of V. vinifera DNA in the tests is fundamental because it provides an endogenous reference and allows normalization for variations caused by sample-to-sample differences in DNA extraction, PCR efficiencies, and pipetting volumes. The developed method allows highly sensitive and specific detection of P. viticola DNA (minimal detectable quantity of 0.1 pg). Moreover, high precision and reproducibility of TaqMan assays were observed over a linear range of four orders of magnitude, confirming the reliability of the developed PCR assay. Potential applications range from screening for BCA efficiency to evaluation of fungicide efficacy, or assessment of host resistance.

Sequence variation and evolution of Cryphonectria hypovirus 1 (CHV-1) in Europe.

Cryphonectria hypovirus 1 (CHV-1) acts as a naturally occurring biological control agent for chestnut blight, a destructive fungal disease of chestnut trees, which has been introduced into Europe in the 1930s. We have determined partial nucleotide and deduced amino acid sequences of the ORF A of 47 CHV-1 isolates collected in Europe over a period of 28 years. Phylogenetic analysis revealed the presence of four groups or single viruses, which showed sequence divergences ranging from 11 to 19%. These results confirm the previous subtype classification based on RFLP markers, with the exception of the two CHV-1 subtypes E and D, which appear to be related closer than anticipated previously. Dates of divergences between CHV-1 subtypes, calculated from nucleotide substitution rates, indicate that the CHV-1 subtypes diverged several hundreds years ago. Our results suggest that the genetic variation among CHV-1 subtypes did not evolve in Europe and support the hypothesis of multiple introductions of CHV-1 into Europe.