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We have used new generation sequencing (NGS) technologies to identify single nucleotide polymorphism (SNP) markers from three European pear (Pyrus communis L.) cultivars and subsequently developed a subset of 1096 pear SNPs into high throughput markers by combining them with the set of 7692 apple SNPs on the IRSC apple Infinium® II 8K array. We then evaluated this apple and pear Infinium® II 9K SNP array for large-scale genotyping in pear across several species, using both pear and apple SNPs. The segregating populations employed for array validation included a segregating population of European pear (‘Old Home’בLouise Bon Jersey’) and four interspecific breeding families derived from Asian (P. pyrifolia Nakai and P. bretschneideri Rehd.) and European pear pedigrees. In total, we mapped 857 polymorphic pear markers to construct the first SNP-based genetic maps for pear, comprising 78% of the total pear SNPs included in the array. In addition, 1031 SNP markers derived from apple (13% of the total apple SNPs included in the array) were polymorphic and were mapped in one or more of the pear populations. These results are the first to demonstrate SNP transferability across the genera Malus and Pyrus. Our construction of high density SNP-based and gene-based genetic maps in pear represents an important step towards the identification of chromosomal regions associated with a range of horticultural characters, such as pest and disease resistance, orchard yield and fruit quality. [ABSTRACT FROM AUTHOR]

Understanding how pathogens evolve according to pressures exerted by their plant hosts is essential for the derivation of strategies aimed at the durable management of resistant cultivars. The spectrum of action of the resistance factors in the partially resistant cultivars is thought to be an important determinant of resistance durability. However, it has not yet been demonstrated whether the pressures exerted by quantitative resistance are different according to their spectrum of action., To investigate selection pressures exerted by apple genotypes harbouring various resistance quantitative trait loci ( QTLs) on a mixed inoculum of the scab disease agent, Venturia inaequalis, we monitored V. inaequalis isolate proportions on diseased apple leaves of an F1 progeny using quantitative pyrosequencing technology and QTL mapping., Broad-spectrum resistances did not exert any differential selection pressures on the mixed inoculum, whereas narrow-spectrum resistances decreased the frequencies of some isolates in the mixture relative to the susceptible host genotypes., Our results suggest that the management of resistant cultivars should be different according to the spectrum of action of their resistance factors. The pyramiding of broad-spectrum factors or the use of a mixture of apple genotypes that carry narrow-spectrum resistance factors are two possible strategies for the minimization of resistance erosion. [ABSTRACT FROM AUTHOR]

Genetic resistance is a useful strategy to control plant disease, but its effectiveness may be reduced over time due to the emergence of pathogens able to circumvent the defenses of the plant. However, the pyramiding of different resistance factors in the same plant can improve the effectiveness and durability of the resistance. To investigate the potential for this approach in apple to control scab disease we surveyed scab incidence in two experimental orchards located at a distance of more than 300 km planted with apple genotypes carrying quantitative resistance and major gene resistance alone or in combination. Our results showed that the effectiveness of pyramiding in controlling scab was dependent on the site and could not be completely explained by the effectiveness level of the resistances alone. [ABSTRACT FROM AUTHOR]

Regardless of whether the articles they examined were ultimately published, the editors would like to express their appreciation and thank the following reviewers for the time and dedication that they have shown I Plants i : ht Footnotes 1 B Disclaimer/Publisher's Note: b The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). I Plants i was able to uphold its high standards for published papers due to the outstanding efforts of our reviewers. Thanks to the efforts of our reviewers in 2022, the median time to first decision was 14 days and the median time to publication was 36 days. [Extracted from the article]

Genomic selection is an attractive strategy for apple breeding that could reduce the length of breeding cycles. A possible limitation to the practical implementation of this approach lies in the creation of a training set large and diverse enough to ensure accurate predictions. In this study, we investigated the potential of combining two available populations, i.e., genetic resources and elite material, in order to obtain a large training set with a high genetic diversity. We compared the predictive ability of genomic predictions within-population, across-population or when combining both populations, and tested a model accounting for population-specific marker effects in this last case. The obtained predictive abilities were moderate to high according to the studied trait and small increases in predictive ability could be obtained for some traits when the two populations were combined into a unique training set. We also investigated the potential of such a training set to predict hybrids resulting from crosses between the two populations, with a focus on the method to design the training set and the best proportion of each population to optimize predictions. The measured predictive abilities were very similar for all the proportions, except for the extreme cases where only one of the two populations was used in the training set, in which case predictive abilities could be lower than when using both populations. Using an optimization algorithm to choose the genotypes in the training set also led to higher predictive abilities than when the genotypes were chosen at random. Our results provide guidelines to initiate breeding programs that use genomic selection when the implementation of the training set is a limitation. [ABSTRACT FROM AUTHOR]

Apple blue mold causes significant postharvest economic losses worldwide. A blue mold resistance locus, qM-Pe3.1, was previously identified on chromosome 3 of Malus sieversii PI 613981, a wild accession with inferior fruit quality. Introgression of the resistance allele into elite breeding germplasm is difficult and success of introgression and the effect of the PI 613981 genome on fruit quality cannot be phenotypically evaluated until fruiting, which occurs approximately 5 years from seed. In this study, introgression of the qM-Pe3.1 resistance allele was achieved by rapid cycle breeding, utilizing the transgenic line T1190 constitutively expressing the BpMADS4 early-flowering gene. This was supported by DNA-based diagnostic information that enabled marker-assisted selection for blue mold resistance using a locus-specific DNA test developed to detect the qM-Pe3.1 resistance allele in offspring (foreground selection). Of 75 second-generation (['Gala' × PI 613981] × T1190) offspring carrying BpMADS4, 43 also carried the qM-Pe3.1 resistance allele. DNA tests for other trait loci were used to identify other desirable alleles related to fruit quality in progeny and 6874 genome-wide SNP markers (from an apple 20K Illumina® SNP array) were used to identify undesirable genomic segments of PI 613981 (background selection). Three individuals identified with favorable recombination close to qM-Pe3.1 and less than 25% of M. sieversii unimproved genome were selected as best suited for the elimination of unimproved DNA segments in subsequent generations. Our pipeline for introgression of qM-Pe3.1, facilitated by marker-assisted foreground and background selection, successfully advanced this promising germplasm in readiness for the next generation. [ABSTRACT FROM AUTHOR]

Apple industries suffer from major apple diseases because of widely planted susceptible cultivars. Developed disease-resistant cultivars that often carry only a single source of resistance are not expected to be durable over time. Cultivars with multiple sources of resistance are often commercially unacceptable due to unsatisfactory fruit quality alleles inherited from unimproved and improved parents. To improve fruit quality, approximately five modified backcrossing generations have been used with phenotypic selection for offspring with the least proportion of unimproved genome and elite fruit quality. Modified backcrossing is time-consuming owing to the long juvenility of apple. Unimproved parents are always assumed to carry undesirable alleles in addition to the targeted resistance allele. To efficiently identify favorable offspring each generation, DNA-based markers would be useful. Locus-specific DNA tests are unavailable to detect many sources of resistance alleles. Known numbers of DNA segments from unimproved parents could help subsequent parent selection among offspring because of the direct connection to the probability of eliminating such segments each generation. Accurately estimating the proportion and number of unimproved segments requires precise information on genomic positions of recombinations that can be detected with effective genetic marker sets. High-resolution and genome-wide apple SNP arrays can be used to characterize unimproved DNA segments present in disease-resistant offspring to efficiently achieve durable resistance and elite fruit quality. To hasten apple flowering, a rapid generation cycling approach with transgenic genetic stocks is available. Using these tools is expected to effectively exploit additional unimproved germplasm toward apple genetic improvement. [ABSTRACT FROM AUTHOR]

Theoretical approaches predict that host quantitative resistance selects for pathogens with a high level of pathogenicity, leading to erosion of the resistance. This process of erosion has, however, rarely been experimentally demonstrated. To investigate the erosion of apple quantitative resistance to scab disease, we surveyed scab incidence over time in a network of three orchards planted with susceptible and quantitatively resistant apple genotypes. We sampled Venturia inaequalis isolates from two of these orchards at the beginning of the experiment and we tested their quantitative components of pathogenicity (i.e., global disease severity, lesion density, lesion size, latent period) under controlled conditions. The disease severity produced by the isolates on the quantitatively resistant apple genotypes differed between the sites. Our study showed that quantitative resistance may be subject to erosion and even complete breakdown, depending on the site. We observed this evolution over time for apple genotypes that combine two broad-spectrum scab resistance QTLs, F11 and F17, showing a significant synergic effect of this combination in favour of resistance (i.e., favourable epistatic effect). We showed that isolates sampled in the orchard where the resistance was inefficient presented a similar level of pathogenicity on both apple genotypes with quantitative resistance and susceptible genotypes. As a consequence, our results revealed a case where the use of quantitative resistance may result in the emergence of a generalist pathogen population that has extended its pathogenicity range by performing similarly on susceptible and resistant genotypes. This emphasizes the need to develop quantitative resistances conducive to trade-offs within the pathogen populations concerned. [ABSTRACT FROM AUTHOR]

Abstract: Apple (Malus × domestica) leaf phenolics, in particular the three major dihydrochalcones, phloridzin, trilobatin and sieboldin, were studied for their potential contribution to the resistance to Erwinia amylovora, the causative agent of fire blight. The constitutive phenolic compositions of part of a progeny resulting from a cross between two apple genotypes, displaying contrasted susceptibilities to fire blight, were investigated by RP–HPLC–DAD. With regards to the major dihydrochalcones, offsprings were found to display the parent profile: either phloridzin alone or a combination of phloridzin, trilobatin and sieboldin. Despite a strong antioxidant activity that could interfere with the oxidative burst triggered by the bacteria, sieboldin did not segregate with resistance even though it was strongly associated with a high constitutive antioxidant capacity of leaf extracts. Several hydroxycinnamic acids and flavonols were identified in the progeny but profiles were very similar. However, concentrations of several flavonols positively correlated with resistance in the genotypes that possessed trilobatin and sieboldin. The major dihydrochalcones that represent more than 200mg/g of leaf DW are not directly responsible for resistance to fire blight in this system. In addition, a high constitutive antioxidant activity is unlikely to be sufficient to block bacterial spread. [Copyright &y& Elsevier]

Background: The mechanism underlying the interaction between host plant and host-selective toxin (HST)-producing Alternaria alternata during infection is of particular interest for sustainable crop production. Alternaria blotch of apple (Malus × domestica Borkh.) caused by A. alternata apple pathotype is a major disease particularly in East Asia, which is the largest producer of apples globally. A single dominant gene, Alt, controls the susceptibility of the apple cultivar 'Delicious' to Alternaria blotch. In this study, we fine mapped the Alt locus and characterized three potential candidate genes. Results: We used 797 F1 individuals derived from 15 crosses between apple accessions susceptible (Alt/alt) and resistant (alt/alt) to Alternaria blotch to construct physical and genetic maps of the Alt locus located on the top of chromosome 11. Susceptible accessions were derived from 'Delicious.' To fine map the Alt locus, we constructed a BAC library of 'Starking Delicious,' a sport of 'Delicious,' and used graphical genotyping to delimit the Alt locus to a region of 43 kb. Three genes predicted within the candidate Alt region were potentially involved in plant defense response, among which the gene encoding a coiled coil-nucleotide binding-leucine rich repeat (CC-NB-LRR) type disease resistance protein was the most promising. Moreover, a 12-bp insertion was uniquely identified in the 5′ untranslated region of the Alt-associated allele of this gene, the presence or absence of which co-segregated with the susceptibility or resistance to A. alternata apple pathotype, respectively, among 43 tested cultivars including old ones and founders of modern apple breeding. Conclusion: A disease resistance protein has been suggested as a determinant of susceptibility/resistance to HST-producing A. alternata for the first time. Our finding provides new insight into the mechanism of HST-mediated disease control used by A. alternata against host plants. [ABSTRACT FROM AUTHOR]