Molecular and Cytogenetic Characterization of Wild Musa Species

The production of bananas is threatened by rapid spreading of various diseases and adverse environmental conditions. The preservation and characterization of banana diversity is essential for the purposes of crop improvement. The world''s largest banana germplasm collection maintained at the Bioversity International Transit Centre (ITC) in Belgium is continuously expanded by new accessions of edible cultivars and wild species. Detailed morphological and molecular characterization of the accessions is necessary for efficient management of the collection and utilization of banana diversity. In this work, nuclear DNA content and genomic distribution of 45S and 5S rDNA were examined in 21 diploid accessions recently added to ITC collection, representing both sections of the genus Musa. 2C DNA content in the section Musa ranged from 1.217 to 1.315 pg. Species belonging to section Callimusa had 2C DNA contents ranging from 1.390 to 1.772 pg. While the number of 45S rDNA loci was conserved in the section Musa, it was highly variable in Callimusa species. 5S rRNA gene clusters were found on two to eight chromosomes per diploid cell. The accessions were genotyped using a set of 19 microsatellite markers to establish their relationships with the remaining accessions held at ITC. Genetic diversity done by SSR genotyping platform was extended by phylogenetic analysis of ITS region. ITS sequence data supported the clustering obtained by SSR analysis for most of the accessions. High level of nucleotide diversity and presence of more than two types of ITS sequences in eight wild diploids pointed to their origin by hybridization of different genotypes. This study significantly expands the number of wild Musa species where nuclear genome size and genomic distribution of rDNA loci is known. SSR genotyping identified Musa species that are closely related to the previously characterized accessions and provided data to aid in their classification. Sequence analysis of ITS region provided further information about evolutionary relationships between individual accessions and suggested that some of analyzed accessions were interspecific hybrids and/or backcross progeny.     

Genetic variation of a global germplasm collection of chickpea (<Emphasis Type="Italic">Cicer arietinum</Emphasis> L.) including Italian accessions at risk of genetic erosion

Chickpea (Cicer arietinum L.) is one of the most important legumes worldwide. We addressed this study to the genetic characterization of a germplasm collection from main chickpea growing countries. Several Italian traditional landraces at risk of genetic erosion were included in the analysis. Twenty-two simple sequence repeat (SSR) markers, widely used to explore genetic variation in plants, were selected and yielded 218 different alleles. Structure analysis and hierarchical clustering indicated that a model with three distinct subpopulations best fits the data. The composition of two subpopulations, named K1 and K2, broadly reflects the commercial classification of chickpea in the two types desi and kabuli, respectively. The third subpopulation (K3) is composed by both desi and kabuli genotypes. Italian accessions group both in K2 and K3. Interestingly, this study highlights genetic distance between desi genotypes cultivated in Asia and Ethiopia, which respectively represent the chickpea primary and the secondary centres of diversity. Moreover, European desi are closer to the Ethiopian gene pool. Overall, this study will be of importance for chickpea conservation genetics and breeding, which is limited by the poor characterization of germplasm collection.     

Assessment of Genetic Diversity in <Emphasis Type="Italic">Secale cereale</Emphasis> Based on SSR Markers

The primary aim of this study was to estimate genetic diversity among Secale cereale L. accessions using 22 previously published simple sequence repeat (SSR) markers. The plant material included 367 rye accessions comprising historical and contemporary cultivars, cultivated materials, landraces, and breeding strains from the Polish breeding company Danko. The studied accessions represented a wide geographical diversity. Several methods were employed to analyze genetic diversity among the Secale cereale L. accessions and to determine population structure: principal coordinate analysis (PCoA), neighbor-joining (NJ), and Bayesian clustering. We also defined a core collection of 25 rye accessions representing over 93 % of SSR alleles. The results of these analyses showed that accessions from the rye gene bank are clearly divergent in comparison with materials received directly from European breeding companies. Our findings suggest also that the genetic pool of current rye cultivars is becoming narrower during breeding processes. The selected panel of SSR markers performed well in detection of genetic diversity patterns and can be recommended for future germplasm characterization studies in rye.     

Genetic diversity,population structure,and linkage disequilibrium of elite and local apple accessions from Belgium using the IRSC array

The identification of molecular markers associated with economic and quality traits will help improve breeding for new apple (Malus × domestica Borkh.) cultivars. Tools such as the 8K apple SNP array developed by the RosBREED consortium allow for high-throughput genotyping of SNP polymorphisms within collections. However, genetic characterization and the identification of population stratification and kinship within germplasm collections is a fundamental prerequisite for identifying robust marker–trait associations. In this study, a collection of apple germplasm originally developed for plant architectural studies and consisting of both non-commercial/local and elite accessions was genotyped using the 8K apple SNP array to identify cryptic relationships between accessions, to analyze population structure and to calculate the linkage disequilibrium (LD). A total of nine pairs of synonyms and several triploids accessions were identified within the 130 accessions genotyped. In addition, most of the known parent-child relations were confirmed, and several putative, previously unknown parent-child relations were identified among the local accessions. No clear subgroups could be identified although some separation between local and elite accessions was evident. The study of LD showed a rapid decay in our collection, indicating that a larger number of SNPs is necessary to perform whole genome association mapping. Finally, an association mapping effort for architectural traits was carried out on a small number of accessions to estimate the feasibility of this approach.     

Simple Sequence Repeat and <Emphasis Type="Italic">S</Emphasis>-locus Genotyping to Explore Genetic Variability in Polyploid <Emphasis Type="Italic">Prunus spinosa</Emphasis> and <Emphasis Type="Italic">P. insititia</Emphasis>

Polyploid Prunus spinosa (2n = 4×) and P. insititia (2n = 6×) represent enormous genetic potential in Central Europe, which can be exploited in breeding programmes. In Hungary, 17 cultivar candidates were selected from wild-growing populations including 10 P. spinosa, 4 P. insititia and three P. spinosa × P. domestica hybrids (2n = 5×). Their taxonomic classification was based on their phenotypic characteristics. Six simple sequence repeats (SSRs) and the multiallelic S-locus genotyping were used to characterize genetic variability and reliable identification of the tested accessions. A total of 98 SSR alleles were identified, which presents 19.5 average allele number per locus, and each of the 17 genotypes could be discriminated based on unique SSR fingerprints. A total of 23 S-RNase alleles were identified. The complete and partial S-genotype was determined for 8 and 9 accessions, respectively. The identification of a cross-incompatible pair of cultivar candidates and several semi-compatible combinations help maximize fruit set in commercial orchards. Our results indicate that the S-allele pools of wild-growing P. spinosa and P. insititia are overlapping in Hungary. A phylogenetic and principal component analysis confirmed the high level of diversity and genetic differentiation present within the analysed genotypes and helped clarify doubtful taxonomic identities. Our data confirm that S-locus genotyping is suitable for diversity studies in polyploid Prunus species. The analysed accessions represent huge genetic potential that can be exploited in commercial cultivation.     

Assessment of genetic diversity among okra genotypes using SSR markers

Okra (Abelmoschus esculentus) is an important nutritious vegetable. Despite its high economic and industrial value, very little attention has been paid to assess genetic diversity of okra at molecular level. For effective conservation and proper deployment of germplasm, a study on diversity analysis of okra germplasm was conducted with DNA markers. Microsatellite/Simple sequence repeat (SSR) markers were utilized to evaluate the genetic diversity among 96 accessions of Abelmoschus, of which 92 accessions were of A. esculentus and one accession each of A. tuberculatus, A. moschatus, A. moschatus subspecies tuberosus and A. manihot. A set of 40 SSR primers were tested, of which 30 primers gave reproducible amplification which were used further for diversity analysis. With a mean of 7.1 bands per SSR, DNA amplification with 30 SSRs generated a total 213 bands, of which 60.66 % were recorded polymorphic. Polymorphic information content ranged between 0.11 and 0.80 with an average of 0.52, indicating that the majority of primers were informative. The Jaccard’s coefficient ranged from 0.107 to 0.969. The UPGMA analysis grouped Abelmoschus genotypes into three main clusters at a cut-off of 0.20. Results of present study revealed that sufficient variation exists among the studied accessions and GAO-5 which was found highly diverse can be exploited for okra improvement. The outcome of present research would assist to make use of Ablemoschus germplasm for okra breeding.     

Development of species diagnostic SNP markers for quality control genotyping in four rice (<Emphasis Type="Italic">Oryza</Emphasis> L.) species

Species misclassification (misidentification) and handling errors have been frequently reported in various plant species conserved at diverse gene banks, which could restrict use of germplasm for correct purpose. The objectives of the present study were to (i) determine the extent of genotyping error (reproducibility) on DArTseq-based single-nucleotide polymorphisms (SNPs); (ii) determine the proportion of misclassified accessions across 3134 samples representing three African rice species complex (Oryza glaberrima, O. barthii, and O. longistaminata) and an Asian rice (O. sativa), which are conserved at the AfricaRice gene bank; and (iii) develop species- and sub-species (ecotype)-specific diagnostic SNP markers for rapid and low-cost quality control (QC) analysis. Genotyping error estimated from 15 accessions, each replicated from 2 to 16 times, varied from 0.2 to 3.1%, with an overall average of 0.8%. Using a total of 3134 accessions genotyped with 31,739 SNPs, the proportion of misclassified samples was 3.1% (97 of the 3134 accessions). Excluding the 97 misclassified accessions, we identified a total of 332 diagnostic SNPs that clearly discriminated the three indigenous African species complex from Asian rice (156 SNPs), O. longistaminata accessions from both O. barthii and O. glaberrima (131 SNPs), and O. sativa spp. indica from O. sativa spp. japonica (45 SNPs). Using chromosomal position, minor allele frequency, and polymorphic information content as selection criteria, we recommended a subset of 24 to 36 of the 332 diagnostic SNPs for routine QC genotyping, which would be highly useful in determining the genetic identity of each species and correct human errors during routine gene bank operations.     

Unravelling genetic diversity and cultivar parentage in the Danish apple gene bank collection

Characterization of apple germplasm is important for conservation management and breeding strategies. A set of 448 Malus domestica accessions, primarily of local Danish origin, were genotyped using 15 microsatellite markers. Ploidy levels were determined by flow cytometry. Special emphasis was given to pedigree reconstruction, cultivar fingerprinting and genetic clustering. A reference set of cultivars, mostly from other European countries, together with a private nursery collection and a small set of Malus sieversii, Malus sylvestris and small-fruited, ornamental Malus cultivars, was also included. The microsatellite markers amplified 17–30 alleles per loci with an average degree of heterozygosity at 0.78. We identified 104 (23%) duplicate genotypes including colour sports. We could infer first-degree relationships for many cultivars with previously unknown parentages. STRUCTURE analysis provided no evidence for a genetic structure but allowed us to present a putative genetic assembly that was consistent with both PCA analysis and parental affiliation. The Danish cultivar collection contains 10% duplicate genotypes including colour sports and 22% triploids. Many unique accessions and considerable genetic diversity make the collection a valuable resource within the European apple germplasm. The findings presented shed new light on the origin of Danish apple cultivars. The fingerprints can be used for cultivar identification and future management of apple genetic resources. In addition, future genome-wide association studies and breeding programmes may benefit from the findings concerning genetic clustering and diversity of cultivars.     

Genetic Diversity,Genotype Discrimination,and Population Structure of Mexican <Emphasis Type="Italic">Opuntia</Emphasis> sp., Determined by SSR Markers

The Opuntia (prickly pear) genus, an important horticultural crop in Mexico, is essentially a fruit crop with two variants: sweet (“tunas”) or acid (“xoconostles”) fruits; it is also a source of vegetables “nopalitos” or fodder for livestock, among other uses. Its taxonomical classification has been reported as complex, although few studies on the genetic structure of Mexican Opuntia are available, and genetic differences between the two types of fruits are unknown. Opuntia genotype identification and classification are still mainly based on morphological characters. In this study, the genetic diversity of Mexican Opuntia germplasm with agronomic and economic importance was revealed, using 88 accessions and 13 SSR markers, in an attempt to explore the genetic relationships among them. A total of 159 alleles were detected ranging from 7 to 23 per locus with an average of 12.2. The SSR markers generated unique fingerprints for each Opuntia accession confirming their usefulness for genetic analysis. The accessions’ grouping was defined by several complementary clustering methods, and the moderate incongruences between the different methods did not influence the overall clustering. DAPC and STRUCTURE analyses grouped the accessions into five groups, thus confirming the incorrect delimitation of species in this genus. The following species had no clear boundaries: Opuntia ficus-indica, Opuntia albicarpa, Opuntia megacantha, Opuntia streptacantha, Opuntia lasiacantha, and Opuntia hyptiacantha. However, Opuntia robusta was separated from the rest of the species. Opuntia joconostle and Opuntia matudae, which produce acid fruits, tended to differ from the others. Median-joining simulation classified all genotypes into a complex network, and both linear and reticular ties between Mexican Opuntia genotypes were revealed. The genetic distance revealed in the present study shows the importance of Mexican accessions for conservation and use in breeding programs.     

Population structure analysis and association mapping of bacterial blight resistance in <Emphasis Type="Italic">indica</Emphasis> rice (<Emphasis Type="Italic">Oryza sativa</Emphasis> L.) accessions

Bacterial blight, caused by Xanthomonas oryzae pv. oryzae (Xoo), is a serious disease in rice production worldwide. To understand the genetic diversity of bacterial blight resistance a population consisting of 175 indica accessions from nine countries was collected and detected their association between SSR (Simple Sequence Repeat) markers and resistance to six bacterial races. The resistance phenotypes of various rice accessions were evaluated through artificial inoculation under controlled conditions in 2013 and 2014. Association analysis showed that 17 SSR markers were significantly associated with resistance to four bacterial races and the phenotypic variations explained (PVE) ranged from 7.43 to 15.05%. Among the 17 associated SSR markers, two SSR markers located in previously reported genes regions, and 15 SSR markers were newly identified in this study. These results validated a new approach to map resistance genes of rice to bacterial blight. These markers could be used for marker-assisted selection (MAS) in rice bacterial blight resistance breeding programs.     

<Emphasis Type="Italic">Miscanthus</Emphasis> sp.: Genetic Diversity and Phylogeny in China

Miscanthus genetic resources are widely distributed throughout China. However, genetic studies on Miscanthus lagged far behind other crops (e.g., sorghum, maize). To establish the comprehensive genetics knowledge of Miscnathus in China, here we report the genetic and phylogenetic diversity of 174 domestic Miscanthus accessions, along with an external Miscanthus × giganteus control. Cytological observations and flow cytometry analyses indicated that there were two major Miscanthus cytotypes in China: diploid (86.86%) and tetraploid (12.57%) without triploid. A total of 108 polymorphic loci generated from 25 SSR primers were used to evaluate the genetic variation. Large variations in genetic similarity coefficients (GSCs), ranging from 0.08 to 0.97 with a mean value of 0.39, were observed between these Miscanthus accessions. Our phylogenetic data revealed that these accessions were clustered into four main clades: M. section Miscanthus, M. section Diandranthus, M. section Triarrhena, and hybrids. The average percentage of polymorphic loci (P), gene diversity (H), and Shannon’s diversity index (I) among Miscanthus species are 70.93%, 0.22, and 0.34, respectively. These were consistent with the analysis of molecular variance (AMOVA) results, showing that 85% of genetic variation was found within clades. This study investigated the clear phylogenetic relationship of Miscanthus species in China, which will be valuable for further utilization of the germplasm in genetic improvement and hybrid breeding of Miscanthus.     

Genetic Diversity in Various Accessions of Pineapple [<Emphasis Type="Italic">Ananas comosus</Emphasis> (L.) Merr.] Using ISSR and SSR Markers

Inter simple sequence repeat (ISSR) and simple sequence repeat (SSR) markers were used to assess the genetic diversity of 36 pineapple accessions that were introduced from 10 countries/regions. Thirteen ISSR primers amplified 96 bands, of which 91 (93.65%) were polymorphic, whereas 20 SSR primers amplified 73 bands, of which 70 (96.50%) were polymorphic. Nei’s gene diversity (h = 0.28), Shannon’s information index (I = 0.43), and polymorphism information content (PIC = 0.29) generated using the SSR primers were higher than that with ISSR primers (h =  0.23, I = 0.37, PIC = 0.24), thereby suggesting that the SSR system is more efficient than the ISSR system in assessing genetic diversity in various pineapple accessions. Mean genetic similarities were 0.74, 0.61, and 0.69, as determined using ISSR, SSR, and combined ISSR/SSR, respectively. These results suggest that the genetic diversity among pineapple accessions is very high. We clustered the 36 pineapple accessions into three or five groups on the basis of the phylogenetic trees constructed based on the results of ISSR, SSR, and combined ISSR/SSR analyses using the unweighted pair-group with arithmetic averaging (UPGMA) method. The results of principal components analysis (PCA) also supported the UPGMA clustering. These results will be useful not only for the scientific conservation and management of pineapple germplasm but also for the improvement of the current pineapple breeding strategies.     

SSR-based molecular profiling of 237 persimmon (<Emphasis Type="Italic">Diospyros kaki</Emphasis> Thunb.) germplasms using an <Emphasis Type="Italic">ASTRINGENCY</Emphasis>-linked marker

Pollination-constant non-astringent (PCNA) trait is desirable in persimmon production because it confers natural astringency loss in mature persimmon fruit. Expression of the PCNA trait requires six homozygous recessive PCNA (ast) alleles at the single ASTRINGENCY (AST) locus in hexaploid persimmon. When crossing non-PCNA accessions to breed PCNA offspring, knowledge of ast and non-PCNA (AST) allele dosage in the parental accessions is important, because more PCNA offspring can segregate from a non-PCNA parent with more ast and fewer AST alleles. Previously, we have demonstrated that a region linked to the AST locus has numerous fragment size polymorphisms with varying numbers of simple sequence repeats. Here, we reveal the polymorphisms in this region in a broad collection of persimmon germplasms. Among 237 accessions, we distinguished 21 AST- and 5 ast-linked fragments with different sizes. Based on the number of fragments detected per individual, we identified 21 non-PCNA accessions with three different ast alleles; by crossing these with a PCNA parent, we obtain PCNA offspring under autohexaploid inheritance. Furthermore, AST and ast allelic combination patterns in hexaploid persimmon were shown to be applicable to cultivar identification of non-PCNA accessions. We directly sequenced ast-linked fragments from 48 accessions with one-size peak of ast-linked fragment and found two distinctive groups of fragments based on single nucleotide polymorphisms. This result suggests that a bottleneck event occurred during ast allele development. We conclude that our fragment size profile can be used to accelerate PCNA breeding that uses non-PCNA parents and to study ast allele accumulation in persimmon.     

Development and validation of genomic simple sequence repeat markers in <Emphasis Type="Italic">Erianthus arundinaceus</Emphasis>

Erianthus arundinaceus, a member of the Saccharum complex, is of interest as a potential resource for sugarcane improvement and as a bioenergy crop. Genetic analyses of germplasm collections of E. arundinaceus are being used increasingly. To expand the genomic resources in E. arundinaceus, we aimed at developing simple sequence repeat markers. Using pyrosequencing on the 454 GS FLX system, we sequenced genomic DNA from “JW630” collected in Japan. A total of 1682 candidate loci were used to design the primers, and 1234 primer pairs amplified fragments of the expected size in the primer screening with three wild E. arundinaceus accessions (JW630, “JW4,” and “IJ76-349”). The efficiency of genotyping was validated with a subset of 174 primer pairs and 8 E. arundinaceus accessions. Of these primer pairs, 171 amplified fragments in all accessions tested and 162 detected polymorphic loci. The average values of genetic parameters were estimated as 0.30 (range, 0.09–0.49) for polymorphic information content, 1.65 (0.00–5.87) for marker index, and 2.78 (0.00–8.75) for resolving power. Using these parameters, we selected 61 primer pairs with large discriminatory power for the analyzed loci. Of the 174 primer pairs, 45 (25.9%) were also applicable to Saccharum and 33 (19.0%) to Miscanthus species. These markers would provide a valuable tool for estimating genetic diversity and constructing linkage maps in E. arundinaceus, which would be useful for genetic study and breeding.     

Genome-wide association mapping for seedling and field resistance to <Emphasis Type="Italic">Puccinia striiformis</Emphasis> f. sp. <Emphasis Type="Italic">tritici</Emphasis> in elite durum wheat

Key message

Genome-wide association analysis in tetraploid wheat revealed novel and diverse loci for seedling and field resistance to stripe rust in elite spring durum wheat accessions from worldwide.

Abstract

Improving resistance to stripe rust, caused by Puccinia striiformis f. sp. tritici, is a major objective for wheat breeding. To identify effective stripe rust resistance loci, a genome-wide association study (GWAS) was conducted using 232 elite durum wheat (Triticum turgidum ssp. durum) lines from worldwide breeding programs. Genotyping with the 90 K iSelect wheat single nucleotide polymorphism (SNP) array resulted in 11,635 markers distributed across the genome. Response to stripe rust infection at the seedling stage revealed resistant and susceptible accessions present in rather balanced frequencies for the six tested races, with a higher frequency of susceptible responses to United States races as compared to Italian races (61.1 vs. 43.1% of susceptible accessions). Resistance at the seedling stage only partially explained adult plant resistance, which was found to be more frequent with 67.7% of accessions resistant across six nurseries in the United States. GWAS identified 82 loci associated with seedling stripe rust resistance, five of which were significant at the false discovery rate adjusted P value <0.1 and 11 loci were detected for the field response at the adult plant stages in at least two environments. Notably, Yrdurum-1BS.1 showed the largest effect for both seedling and field resistance, and is therefore considered as a major locus for resistance in tetraploid wheat. Our GWAS study is the first of its kind for stripe rust resistance in tetraploid wheat and provides an overview of resistance in elite germplasm and reports new loci that can be used in breeding resistant cultivars.

     

Study on chloroplast DNA diversity of cultivated and wild pears (<Emphasis Type="Italic">Pyrus</Emphasis> L.) in Northern China

Eight pairs of chloroplast DNA (cpDNA) universal primers selected from 34 pairs were used to assess the genetic diversity of 132 pear accessions in Northern China. Among them, six amplified cpDNA fragments showed genetic diversity. A total of 24 variable sites, including 1 singleton variable site and 23 parsimony informative sites, as well as 21 insertion-deletion fragments, were obtained from the combined cpDNA sequences (5309–5535 bp). Two trnL-trnF-487 haplotypes, five trnL-trnF-413 haplotypes, five rbcL haplotypes, six trnS-psbC haplotypes, eight accD-psaI haplotypes and 12 rps16-trnQ haplotypes were identified among the individuals. Twenty-one haplotypes were identified based on the combined fragments. The values of nucleotide diversity (P_i), average number of nucleotide differences (k) and haplotype diversity (H_d) were 0.00070, 3.56408 and 0.7960, respectively. No statistical significance was detected in Tajima’s D test. Remarkably, the important cpDNA haplotypes and their representing accessions were identified clearly in this study. H_19 was considered as one of the ancient haplotypes and was a divergent centre. H_16 was the most common haplotype of the wild accessions. H_2 was the haplotype representing the most pear germplasm resources (46 cultivars and two wild Ussurian Pear accessions), followed by haplotype H_5 (30 cultivars, two wild Ussurian Pear accessions and four sand pears in outgroups) representing the cultivars ‘Dangshan Suli’ and ‘Yali’, which harbour the largest and the second largest cultivation areas in China. More importantly, this study demonstrated, for the first time, the supposed evolution routes of Pyrus based on cpDNA divergence in the background of pear phylogeny in Northern China.     

The southwestern origin and eastward dispersal of pear (<Emphasis Type="Italic">Pyrus pyrifolia</Emphasis>) in East Asia revealed by comprehensive genetic structure analysis with SSR markers

Pyrus pyrifolia is considered one of the most important cultivated Pyrus species. Hundreds of landraces and bred cultivars have been developed through the natural and artificial hybridizations necessary due to self-incompatibility. In this study, the genetic diversity of 478 Pyrus accessions, including Chinese landraces, bred cultivars, and wild samples, as well as introduced pear cultivars from Japan and Korea, was investigated with a set of 17 simple sequence repeat (SSR) markers distributed across all 17 linkage groups of the pear genome. A total of 121 alleles were detected, including 4 rare alleles with a frequency lower than 5%. Diversity statistics indicated a high level of genetic variation as quantified by the average values of the observed heterozygosity, the expected heterozygosity, and Wright’s fixation index, at 0.76, 0.78, and 0.02, respectively. Population structure and discriminant analysis of principal component analysis implied extensive genetic communication between sand pears in China and revealed four contiguous geographical clusters with overlapping geographical regions. The diversity of the four clusters and approximate Bayesian computation (ABC) indicated that sand pear spread from west to east along the Pearl River and Yangtze River valleys. High diversity and polyphyletic genetic components of cultivars in southwestern China further support southwestern China as the probable center of divergence for Pyrus species. A core collection of 80 out of 470 cultivars was selected, accounting for about 17% of accessions, and capturing 91% of all alleles, including all rare alleles. Our research provides a comprehensive understanding of sand pear germplasm in East Asia and constructs a preliminary core collection, which will be useful for association genetics studies, germplasm conservation, and breeding programs.