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The apple ( Malus x domestica ) scab ( Venturia inaequalis ) resistance genes Rvi4 and Rvi15 were mapped to a similar region on the top of linkage group 2 and both resistance genes elicit the same type of resistance reaction, i.e., a hypersensitive response; hence, it is suspected that the two genes may be the same. As the two resistance genes Rvi4 and Rvi15 are currently used in apple breeding, it is important to clarify whether the two resistance genes are the same or not. Several approaches were used to make this determination. First, the pedigree of the genotype GMAL 2473, the source of Rvi15 , was reconstructed. GMAL 2473 was found to be an F1 of 'Russian seedling', the genotype, which is known to also be the source of Rvi4 . Next, it was further demonstrated that 'Regia', a cultivar known to carry Rvi4 (and Rvi2 ), carries the same gene ( Vr2-C ), which was demonstrated to be the gene inducing Rvi15 resistance. Finally, it was shown that transgenic lines carrying Vr2-C are compatible with race 4 apple scab isolates. Taken all together, these results definitively demonstrate that Rvi4 and Rvi15 are the same resistance gene. For future studies, we suggest referring to this resistance with the first name that was assigned to this gene, namely Rvi4 ., Supplementary Information: The online version contains supplementary material available at 10.1007/s11032-023-01421-0., Competing Interests: Competing interestsThe authors declare no competing interests., (© The Author(s) 2023.)

The USDA-ARS National Plant Germplasm System (NPGS) apple collection in Geneva, NY, USA maintains accessions of the primary Malus domestica (Suckow) Borkh. progenitor species M. sieversii (Ledeb.) M. Roem., M. orientalis Uglitzk., and M. sylvestris (L.) Mill. Many of these accessions originated from seeds that were collected from wild populations in the species' centers of diversity. Some of these accessions have fruit phenotypes that suggest recent M. domestica hybridization, which if true would represent crop contamination of wild species populations and mislabeled species status of NPGS accessions. Pedigree connections and admixture between M. domestica and its progenitor species can be readily identified with apple SNP array data, despite such arrays not being designed for these purposes. To investigate species purity, most (463 accessions) of the NPGS accessions labeled as these three progenitor species were genotyped using the 20K apple SNP array. DNA profiles obtained were compared with a dataset of more than 5000 unique M. domestica apple cultivars. Only 212 accessions (151 M. sieversii , 26 M. orientalis , and 35 M. sylvestris ) were identified as "pure" species representatives because their DNA profiles did not exhibit genotypic signatures of recent hybridization with M. domestica . Twenty-one accessions (17 M. sieversii , 1 M. orientalis , and 3 M. sylvestris ) previously labeled as wild species were instead fully M. domestica . Previously unrealized hybridization and admixture between wild species and M. domestica was identified in 230 accessions (215 M. sieversii , 9 M. orientalis , and 6 M. sylvestris ). Among these species-mislabeled accessions, 'Alexander', 'Gold Reinette', 'Charlamoff', 'Rosmarina Bianca', and 'King of the Pippins' were the most frequently detected M. domestica parents or grandparents. These results have implications for collection management, including germplasm distribution, and might affect conclusions of previous research focused on these three progenitor species in the NPGS apple collection. Specifically, accessions received from the NPGS for breeding and genomics, genetics, and evolutionary biology research might not be truly representative of their previously assigned species., Competing Interests: Author NH is employed by Fresh Forward Breeding and Marketing. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Volk, Peace, Henk and Howard.)

Brassica oleracea is a vegetable crop with an amazing morphological diversity. Among the various crops derived from B. oleracea , kale has been in the spotlight globally due to its various health-benefitting compounds and many different varieties. Knowledge of the existing genetic diversity is essential for the improved breeding of kale. Here, we analyze the interrelationships, population structures, and genetic diversity of 72 kale and cabbage varieties by extending our previous diversity analysis and evaluating the use of summed potential lengths of shared haplotypes (SPLoSH) as a new method for such analyses. To this end, we made use of the high-density Brassica 60K SNP array, analyzed SNPs included in an available Brassica genetic map, and used these resources to generate and evaluate the information from SPLoSH data. With our results we could consistently differentiate four groups of kale across all analyses: the curly kale varieties, Italian, American, and Russian varieties, as well as wild and cultivated types. The best results were achieved by using SPLoSH information, thus validating the use of this information in improving analyses of interrelations in kale. In conclusion, our definition of kale includes the curly varieties as the kales in a strict sense, regardless of their origin. These results contribute to a better understanding of the huge diversity of kale and its interrelations.

Unordered parent-offspring (PO) relationships are an outstanding issue in pedigree reconstruction studies. Resolution of the order of these relationships would expand the results, conclusions, and usefulness of such studies; however, no such PO order resolution (POR) tests currently exist. This study describes two such tests, demonstrated using SNP array data in the outcrossing species apple (Malus × domestica) on a PO relationship of known order ("Keepsake" as a parent of "Honeycrisp") and two PO relationships previously ordered only via provenance information. The first test, POR-1, tests whether some of the extended haplotypes deduced from homozygous SNP calls from one individual in an unordered PO duo are composed of recombinant haplotypes from accurately phased SNP genotypes from the second individual. If so, the first individual would be the offspring of the second individual, otherwise the opposite relationship would be present. The second test, POR-2, does not require phased SNP genotypes and uses similar logic as the POR-1 test, albeit in a different approach. The POR-1 and POR-2 tests determined the correct relationship between "Keepsake" and "Honeycrisp". The POR-2 test confirmed "Reinette Franche" as a parent of "Nonpareil" and "Brabant Bellefleur" as a parent of "Court Pendu Plat". The latter finding conflicted with the recorded provenance information, demonstrating the need for these tests. The successful demonstration of these tests suggests they can add insights to future pedigree reconstruction studies, though caveats, like extreme inbreeding or selfing, would need to be considered where relevant., (© The Author(s) 2022. Published by Oxford University Press. All rights reserved.)

We recently reported an early hospital discharge (EHD) care strategy following intensive acute myeloid leukemia (AML)-like chemotherapy is safe. To evaluate its impact on infectious outcomes, we compared all adults treated from 8/1/2014 to 7/31/2018 discharging within 72 h of completing chemotherapy (EHD) with hospitalized patients (controls) across 354 induction and 259 post-remission cycles. While overall outcomes were similar, gram-positive bacteremias were more common in EHD patients than control ( p <.001), although they received fewer days of IV antimicrobials ( p < .001). Notably, cumulative infection risks in EHD patients were similar after induction and post-remission therapy. In multivariable analysis, only EHD status was independently associated with risk for gram-positive bacteremia ( p = .01), whereas the only independent risk factor for fungal infection was fluconazole ( vs. posaconazole) use ( p < .001). The observation of increased rates of gram-positive bacteremias with EHD identifies improvements in catheter management as one area to further increase the safety of this care approach.

The 'Honeycrisp' apple, an economically important cultivar and breeding parent, is prone to soft scald and soggy breakdown postharvest physiological disorders. Phenotypic evaluation of soft scald is time consuming and costly, making it an excellent target for DNA-informed breeding. The objective of this study was to develop a DNA test for a soft scald and soggy breakdown quantitative trait locus (QTL) on linkage group two (LG2) that was characterized in a previous study. 'Honeycrisp' is homozygous for the undesirable high disorder incidence haplotype (HDI) at this QTL. In this study, sixteen single nucleotide polymorphism markers were evaluated for their associations with the HDI haplotype in a set of 132 unique cultivars and important breeding parents. A DNA test was successfully developed utilizing KASP™ (Kompetitive Allele Specific PCR) chemistry to identify the number of HDI haplotypes in individuals. This test had a 100% accuracy for detecting homozygous unfavorable HDI individuals and has an expected 88% accuracy over all three haplotype copy groups across the evaluated germplasm. This DNA test is a promising tool for minimizing the chances of selecting individuals that exhibit high incidence of soft scald postharvest disorder in 'Honeycrisp'-related germplasm., Supplementary Information: The online version contains supplementary material available at 10.1007/s11032-021-01245-w., Competing Interests: Conflict of interestThe University of Minnesota receives royalty payments related to the ‘Honeycrisp,’ ‘Minnewashta,’ ‘Wildung,’ ‘Minneiska,’ ‘MN55,’ and ‘MN80’ apple cultivars. JJL and the University of Minnesota have a royalty interest in these cultivars. These relationships have been reviewed and managed by the University of Minnesota in accordance with its Conflict of Interest policies., (© The Author(s) 2021.)

Pedigree information is of fundamental importance in breeding programs and related genetics efforts. However, many individuals have unknown pedigrees. While methods to identify and confirm direct parent-offspring relationships are routine, those for other types of close relationships have yet to be effectively and widely implemented with plants, due to complications such as asexual propagation and extensive inbreeding. The objective of this study was to develop and demonstrate methods that support complex pedigree reconstruction via the total length of identical by state haplotypes (referred to in this study as "summed potential lengths of shared haplotypes", SPLoSH). A custom Python script, HapShared, was developed to generate SPLoSH data in apple and sweet cherry. HapShared was used to establish empirical distributions of SPLoSH data for known relationships in these crops. These distributions were then used to estimate previously unknown relationships. Case studies in each crop demonstrated various pedigree reconstruction scenarios using SPLoSH data. For cherry, a full-sib relationship was deduced for 'Emperor Francis, and 'Schmidt', a half-sib relationship for 'Van' and 'Windsor', and the paternal grandparents of 'Stella' were confirmed. For apple, 29 cultivars were found to share an unknown parent, the pedigree of the unknown parent of 'Cox's Pomona' was reconstructed, and 'Fameuse' was deduced to be a likely grandparent of 'McIntosh'. Key genetic resources that enabled this empirical study were large genome-wide SNP array datasets, integrated genetic maps, and previously identified pedigree relationships. Crops with similar resources are also expected to benefit from using HapShared for empowering pedigree reconstruction., (© 2021. The Author(s).)

Background: Early hospital discharge (EHD) after intensive acute myeloid leukemia (AML) induction chemotherapy has become routine at the University of Washington/Seattle Cancer Care Alliance over the past several years. We assessed the financial implications of EHD over the first 4 years after its broad adoption for patients with AML and other high-grade myeloid neoplasms undergoing AML-like induction chemotherapy., Patients and Methods: We retrospectively compared charges between 189 patients with EHD who received all postinduction inpatient/outpatient care within our care system between August 2014 and July 2018 and 139 medically matched control patients who remained hospitalized for logistical reasons. Charges from the day of initial discharge (patients with EHD) or end of chemotherapy (control patients) until blood count recovery, additional chemotherapy or care transition, hospital discharge (for control patients only), an elapse of 42 days, or death were extracted from financial databases and separated into categories: facility/provider, emergency department, transfusions, laboratory, imaging, pharmacy, and miscellaneous., Results: Combined charges averaged $4,157/day (range, $905-$13,119/day) for patients with EHD versus $9,248/day (range, $4,363-$48,522/day) for control patients (P<.001). The EHD cohort had lower mean facility/provider, transfusion, laboratory, and pharmacy charges but not imaging or miscellaneous charges. During readmissions, there was no statistically significant difference in daily inpatient charges between the EHD and control cohorts. After multivariable adjustment, average charges were $3,837/day lower for patients with EHD (P<.001)., Conclusions: Together with previous data from our center showing that EHD is safe and associated with reduced healthcare resource utilization, this study further supports this care approach for AML and other high-grade myeloid neoplasms if infrastructure is available to enable close outpatient follow-up.

Background: Single nucleotide polymorphism (SNP) array technology has been increasingly used to generate large quantities of SNP data for use in genetic studies. As new arrays are developed to take advantage of new technology and of improved probe design using new genome sequence and panel data, a need to integrate data from different arrays and array platforms has arisen. This study was undertaken in view of our need for an integrated high-quality dataset of Illumina Infinium® 20 K and Affymetrix Axiom® 480 K SNP array data in apple (Malus × domestica). In this study, we qualify and quantify the compatibility of SNP calling, defined as SNP calls that are both accurate and concordant, across both arrays by two approaches. First, the concordance of SNP calls was evaluated using a set of 417 duplicate individuals genotyped on both arrays starting from a set of 10,295 robust SNPs on the Infinium array. Next, the accuracy of the SNP calls was evaluated on additional germplasm (n = 3141) from both arrays using Mendelian inconsistent and consistent errors across thousands of pedigree links. While performing this work, we took the opportunity to evaluate reasons for probe failure and observed discordant SNP calls., Results: Concordance among the duplicate individuals was on average of 97.1% across 10,295 SNPs. Of these SNPs, 35% had discordant call(s) that were further curated, leading to a final set of 8412 (81.7%) SNPs that were deemed compatible. Compatibility was highly influenced by the presence of alternate probe binding locations and secondary polymorphisms. The impact of the latter was highly influenced by their number and proximity to the 3' end of the probe., Conclusions: The Infinium and Axiom SNP array data were mostly compatible. However, data integration required intense data filtering and curation. This work resulted in a workflow and information that may be of use in other data integration efforts. Such an in-depth analysis of array concordance and accuracy as ours has not been previously described in the literature and will be useful in future work on SNP array data integration and interpretation, and in probe/platform development.

Breeding of apple is a long-term and costly process due to the time and space requirements for screening selection candidates. Genomics-assisted breeding utilizes genomic and phenotypic information to increase the selection efficiency in breeding programs, and measurements of phenotypes in different environments can facilitate the application of the approach under various climatic conditions. Here we present an apple reference population: the apple REFPOP, a large collection formed of 534 genotypes planted in six European countries, as a unique tool to accelerate apple breeding. The population consisted of 269 accessions and 265 progeny from 27 parental combinations, representing the diversity in cultivated apple and current European breeding material, respectively. A high-density genome-wide dataset of 303,239 SNPs was produced as a combined output of two SNP arrays of different densities using marker imputation with an imputation accuracy of 0.95. Based on the genotypic data, linkage disequilibrium was low and population structure was weak. Two well-studied phenological traits of horticultural importance were measured. We found marker-trait associations in several previously identified genomic regions and maximum predictive abilities of 0.57 and 0.75 for floral emergence and harvest date, respectively. With decreasing SNP density, the detection of significant marker-trait associations varied depending on trait architecture. Regardless of the trait, 10,000 SNPs sufficed to maximize genomic prediction ability. We confirm the suitability of the apple REFPOP design for genomics-assisted breeding, especially for breeding programs using related germplasm, and emphasize the advantages of a coordinated and multinational effort for customizing apple breeding methods in the genomics era.

The human genome encodes millions of regulatory elements, of which only a small fraction are active within a given cell type. Little is known about the global impact of chromatin remodelers on regulatory DNA landscapes and how this translates to gene expression. We use precision genome engineering to reawaken homozygously inactivated SMARCA4, a central ATPase of the human SWI/SNF chromatin remodeling complex, in lung adenocarcinoma cells. Here, we combine DNase I hypersensitivity, histone modification, and transcriptional profiling to show that SMARCA4 dramatically increases both the number and magnitude of accessible chromatin sites genome-wide, chiefly by unmasking sites of low regulatory factor occupancy. By contrast, transcriptional changes are concentrated within well-demarcated remodeling domains wherein expression of specific genes is gated by both distal element activation and promoter chromatin configuration. Our results provide a perspective on how global chromatin remodeling activity is translated to gene expression via regulatory DNA., Competing Interests: Declaration of Interests All authors are employees of the not-for-profit Altius Institute for Biomedical Sciences., (Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved.)

High-quality genotypic data is a requirement for many genetic analyses. For any crop, errors in genotype calls, phasing of markers, linkage maps, pedigree records, and unnoticed variation in ploidy levels can lead to spurious marker-locus-trait associations and incorrect origin assignment of alleles to individuals. High-throughput genotyping requires automated scoring, as manual inspection of thousands of scored loci is too time-consuming. However, automated SNP scoring can result in errors that should be corrected to ensure recorded genotypic data are accurate and thereby ensure confidence in downstream genetic analyses. To enable quick identification of errors in a large genotypic data set, we have developed a comprehensive workflow. This multiple-step workflow is based on inheritance principles and on removal of markers and individuals that do not follow these principles, as demonstrated here for apple, peach, and sweet cherry. Genotypic data was obtained on pedigreed germplasm using 6-9K SNP arrays for each crop and a subset of well-performing SNPs was created using ASSIsT. Use of correct (and corrected) pedigree records readily identified violations of simple inheritance principles in the genotypic data, streamlined with FlexQTL software. Retained SNPs were grouped into haploblocks to increase the information content of single alleles and reduce computational power needed in downstream genetic analyses. Haploblock borders were defined by recombination locations detected in ancestral generations of cultivars and selections. Another round of inheritance-checking was conducted, for haploblock alleles (i.e., haplotypes). High-quality genotypic data sets were created using this workflow for pedigreed collections representing the U.S. breeding germplasm of apple, peach, and sweet cherry evaluated within the RosBREED project. These data sets contain 3855, 4005, and 1617 SNPs spread over 932, 103, and 196 haploblocks in apple, peach, and sweet cherry, respectively. The highly curated phased SNP and haplotype data sets, as well as the raw iScan data, of germplasm in the apple, peach, and sweet cherry Crop Reference Sets is available through the Genome Database for Rosaceae., Competing Interests: The authors have declared that no competing interests exist.

In 2010, a major scientific milestone was achieved for tree fruit crops: publication of the first draft whole genome sequence (WGS) for apple ( Malus domestica ). This WGS, v1.0, was valuable as the initial reference for sequence information, fine mapping, gene discovery, variant discovery, and tool development. A new, high quality apple WGS, GDDH13 v1.1, was released in 2017 and now serves as the reference genome for apple. Over the past decade, these apple WGSs have had an enormous impact on our understanding of apple biological functioning, trait physiology and inheritance, leading to practical applications for improving this highly valued crop. Causal gene identities for phenotypes of fundamental and practical interest can today be discovered much more rapidly. Genome-wide polymorphisms at high genetic resolution are screened efficiently over hundreds to thousands of individuals with new insights into genetic relationships and pedigrees. High-density genetic maps are constructed efficiently and quantitative trait loci for valuable traits are readily associated with positional candidate genes and/or converted into diagnostic tests for breeders. We understand the species, geographical, and genomic origins of domesticated apple more precisely, as well as its relationship to wild relatives. The WGS has turbo-charged application of these classical research steps to crop improvement and drives innovative methods to achieve more durable, environmentally sound, productive, and consumer-desirable apple production. This review includes examples of basic and practical breakthroughs and challenges in using the apple WGSs. Recommendations for "what's next" focus on necessary upgrades to the genome sequence data pool, as well as for use of the data, to reach new frontiers in genomics-based scientific understanding of apple., Competing Interests: The authors declare that they have no conflict of interest.

'Honeycrisp' is a widely grown and acclaimed apple cultivar that is commonly used in breeding programs. It also has a well-documented tendency to develop the physiological disorder, zonal leaf chlorosis (ZLC). This disorder causes reduced photosynthetic capacity and is thought to be due to a problem with phloem loading, although the underlying genetics of the disorder have not previously been discerned. In order to understand the breeding implications of the disorder, six families with 'Honeycrisp' as a parent and one family with 'Honeycrisp' as both a maternal and paternal grandparent were evaluated for ZLC incidence over two years. One major quantitative trait locus (QTL) for ZLC incidence was identified on linkage group (LG) 9. A haplotype in 'Honeycrisp' that originated from grandparent 'Duchess of Oldenburg' was associated with increased ZLC incidence in offspring in both years and all families evaluated. The LG9 QTL was 5 to 10 cM from MdMYB1, which is a major gene regulating fruit skin anthocyanin production. 'Honeycrisp' is heterozygous for red fruit skin overcolor at MdMYB1. The 'Honeycrisp' haplotype at the LG9 QTL associated with increased ZLC is in linkage phase with the allele at MdMYB1 associated with red color. Selection for the red allele from 'Honeycrisp' at MdMYB1 will result in most offspring also inheriting the haplotype at the LG9 QTL associated with high ZLC. The occurrence of two copies of this haplotype was sub-lethal in seedlings of a family where both parents inherited both the red overcolor allele at MdMYB1 and the haplotype at the LG9 QTL associated with high ZLC. This is the first study to have identified a genetic component of ZLC with clear breeding implications., Competing Interests: Nicholas P. Howard, John Tillman and James J. Luby were employees of the University of Minnesota when this research was performed. The Honeycrisp apple cultivar was developed at and owned by the University of Minnesota. The Regents of the University of Minnesota have been granted or have applied for intellectual property rights including plant patents, plant breeders rights and trademarks related to Honeycrisp, and its mutants LJ1000 and MinnB42, in the United States, Canada, the European Union, New Zealand, Australia, Chile, Switzerland, China and South Africa. The University of Minnesota has licensed nurseries and/or fruit producers in each of these territories rights to propagate trees and/or sell fruit of Honeycrisp or the mutants. The University of Minnesota receives royalties in return for these licensed rights and James Luby is entitled to received a portion of these royalties under policies of the Regents of the University of Minnesota. This relationship has been reviewed and managed by the University of Minnesota in accordance with its Conflict of Interest policies. The authors do not have financial interests in businesses licensed by the University of Minnesota for the Honeycrisp cultivar or its mutants. These relationships do not alter our adherence to PLOS ONE policies on sharing data. Sharing of plant material may be subject to existing license or phytosanitary restrictions depending on the territory of the recipient.

The apple ( Malus×domestica ) cultivar Honeycrisp has become important economically and as a breeding parent. An earlier study with SSR markers indicated the original recorded pedigree of 'Honeycrisp' was incorrect and 'Keepsake' was identified as one putative parent, the other being unknown. The objective of this study was to verify 'Keepsake' as a parent and identify and genetically describe the unknown parent and its grandparents. A multi-family based dense and high-quality integrated SNP map was created using the apple 8 K Illumina Infinium SNP array. This map was used alongside a large pedigree-connected data set from the RosBREED project to build extended SNP haplotypes and to identify pedigree relationships. 'Keepsake' was verified as one parent of 'Honeycrisp' and 'Duchess of Oldenburg' and 'Golden Delicious' were identified as grandparents through the unknown parent. Following this finding, siblings of 'Honeycrisp' were identified using the SNP data. Breeding records from several of these siblings suggested that the previously unreported parent is a University of Minnesota selection, MN1627. This selection is no longer available, but now is genetically described through imputed SNP haplotypes. We also present the mosaic grandparental composition of 'Honeycrisp' for each of its 17 chromosome pairs. This new pedigree and genetic information will be useful in future pedigree-based genetic studies to connect 'Honeycrisp' with other cultivars used widely in apple breeding programs. The created SNP linkage map will benefit future research using the data from the Illumina apple 8 and 20 K and Affymetrix 480 K SNP arrays., Competing Interests: The University of Minnesota receives royalty payments related to the ‘Honeycrisp’ apple cultivar. JJL and DSB, and the University of Minnesota have a royalty interest in this cultivar. These relationships have been reviewed and managed by the University of Minnesota in accordance with its Conflict of Interest policies. The remaining authors declare no conflict of interest.