Abstract

Human selection has reshaped crop genomes. Here we report an apple genome variation map generated through genome sequencing of 117 diverse accessions. A comprehensive model of apple speciation and domestication along the Silk Road is proposed based on evidence from diverse genomic analyses. Cultivated apples likely originate from Malus sieversii in Kazakhstan, followed by intensive introgressions from M. sylvestris. M. sieversii in Xinjiang of China turns out to be an “ancient” isolated ecotype not directly contributing to apple domestication. We have identified selective sweeps underlying quantitative trait loci/genes of important fruit quality traits including fruit texture and flavor, and provide evidences supporting a model of apple fruit size evolution comprising two major events with one occurring prior to domestication and the other during domestication. This study outlines the genetic basis of apple domestication and evolution, and provides valuable information for facilitating marker-assisted breeding and apple improvement.

Introduction

Crop domestication is an artificial selection process, fostering co-dependence between human and crop plants. This process often includes an initial phase of unconscious selection by farmers for several thousand years, followed by a subsequent breeding phase of intentional selection of favorable traits by breeders1. As a result, cultivated crops diverge from their wild progenitors morphologically and genetically in response to human selection. Recently, rapid advances in sequencing technologies have allowed researchers to sequence entire crop genomes efficiently and the resultant information can help elucidate how human-involved evolutionary processes have shaped modern crop genomes, as demonstrated in peach2, date palm3, tomato4, maize5, soybean6, and rice7. These studies provide valuable information for facilitating future crop improvement and thus securing global food production.

Cultivated apple (Malus domestica Borkh.), one of the most widely produced and economically important fruit crops in temperate regions, has been domesticated from M. sieversii in the Tian Shan Mountains for 4000–10,000 years, and dispersed from Central Asia to West Europe along the Silk Road, allowing hybridization and introgression of wild crabapples from Siberia (M. baccata (L.) Borkh.), Caucasus (M. orientalis Uglitz.), and Europe (M. sylvestris Mill.)8. It has been reported that M. sieversii is the primary progenitor and M. sylvestris is a major secondary contributor of cultivated apples9. Centuries of human exploitation and selection have produced thousands of apple cultivars with diverse fruit sizes and flavors10. In addition, apples are characterized with lengthy juvenile phases, self-incompatibility, and vegetative propagation8, 11. These characteristics together with its unique domestication history indicate that the impact of domestication on the genomes of apples would be much different from that on the genomes of seed-propagated annual crops as well as self-compatible tree fruits such as peach. However, very limited information is available on how the apple genome has been reshaped by human selections and how small and sour wild ancestors have evolved into modern large and sweet apples. In this study, we performed deep genome sequencing of 117 diverse Malus accessions. The large amount of genomic variation resources has not only allowed us to gain new insights into apple evolution and domestication, but also provided invaluable information for accelerating the usage of wild species in apple breeding and improvement.

Results

Genome resequencing and variation calling

A total of 117 Malus accessions from 24 species were selected for genome sequencing, including 35 M. domestica (24 scion and 11 rootstock cultivars), 10 M. sylvestris, 29 M. sieversii, 9 M. robusta, 6 M. baccata, 4 M. asiatica, 4 M. hupehensis, and 20 in the remaining 17 wild species with one or two accessions per species (Supplementary Data 1). Among the 29 M. sieversii accessions, 15 originated in Kazakhstan, on the west side of the Tian Shan Mountains, and 14 were collected from natural forests in Xinjiang of China, on the east side of the Tian Shan Mountains. Six out of the 24 species are native to China, four native to North America, and two to Europe, while some Malus species are considered as intrageneric hybrids, such as M. robusta and M. asiatica (Supplementary Data 2). Chinese soft apples, such as “Pinpo”, “Xiangguo”, M. asiatica and M. prunifolia have been cultivated as dessert apples for more than 2000 years in China (Supplementary Note 1). Analysis of the phenotypical data recorded in the USDA-GRIN database (https://npgsweb.ars-grin.gov/) indicated that domesticated apples are significantly bigger, firmer, and sweeter than M. sieversii in Kazakhstan, while less acidulated and much bigger than M. sylvestris (Supplementary Fig. 1).

Resequencing of the 117 apple genomes generated a total of 1060 Gb high-quality cleaned sequences, with an average of 9.06 Gb per accession that represented ~12.2× of the apple genome (Supplementary Data 1). After aligning the reads to the pseudo-haplotype apple genome12 (v1.0p), we identified a final set of 7,218,060 single nucleotide polymorphisms (SNPs) (Supplementary Note 2 and Supplementary Tables 1 and 2). Furthermore, we identified 431,597 small insertions and deletions (indels). Polymerase chain reaction (PCR) amplification and Sanger sequencing on genomic regions containing 958 randomly selected SNP loci in six apple accessions indicated a high accuracy rate (98.1%) for our genotype calling.

An apple evolutionary map

We first examined the phylogeny among wild and cultivated apples by constructing a neighbor-joining phylogenetic tree with pear as the outgroup using SNPs at fourfold degenerate sites (4D SNPs). The tree showed that accessions of M. domestica and its introgression contributor M. sylvestris formed a subclade within a large mixed clade comprising M. sieversii accessions that are considered as progenitors of cultivated apples8, 9, while accessions of other wild species position outside this domestication-related clade (Fig. 1a). Wild species native to North America (M. ioensis, M. angustifolia, M. fusca, and M. coronaria) are the closest to pear, followed by Asian wild species M. baccata and M. hupehensis. Notably, the recent introgression from M. sylvestris into M. domestica has been so intensive that the cultivated apples now appear to be closer to European crabapple M. sylvestris than to their progenitor M. sieversii, which is consistent with a previous report9. A principal component analysis (PCA) illustrated a similar pattern to the phylogenetic tree in that M. domestica, M. sieversii, and M. sylvestris accessions formed closely related clusters that were clearly separated from the dispersed accessions of other wild species (Fig. 1b).

Figure 1
Figure 1

Population structure of 117 domesticated and wild apples. a Neighbor-joining phylogenetic tree constructed using SNPs at fourfold degenerate sites. Each species group is color coded, with red squares representing rootstocks and red dots scions. b Principal component analysis (PCA) of the 117 apple accessions. c Bayesian model-based clustering of the 117 apple accessions with the number of ancestry kinship (K) from 3 to 5. Each vertical bar represents one apple accession and the x axis shows different apple accessions. Each color represents one putative ancestral background and the y axis quantifies ancestry membership. Asi M. asiatica, Bac M. baccata, Dom M. domestica, Hup M. hupehensis, Other other wild species, Rob M. robusta, Sie_K M. sieversii in Kazakhstan, Sie_X M. sieversii in Xinjiang, Syl M. sylvestris

To further understand the evolutionary history of apple, we used a Bayesian clustering algorithm with admixed models13 to estimate ancestry proportions for each accession (Fig. 1c). Our ΔK analysis revealed that five populations (K = 5) represent the best model for these 117 accessions (Supplementary Fig. 2). For K = 3, M. domestica and its wild relatives, M. sieversii and M. sylvestris, were clearly separated from other wild species, supporting the evolutionary history of domesticated apple8, 9, 14. With K from 4 to 5, two new subpopulations arose from the wild species other than M. sieversii and M. sylvestris, indicating their high diversity and further distance from domesticated apples. M. sieversii accessions from the two sides of the Tian Shan Mountains segregated into two different subpopulations reflecting their geographical distributions. M. sieversii accessions in Kazakhstan showed admixed ancestry possibly from hybridizations with wild apples such as M. orientalis along the Silk Road, and/or domesticated apples cultivated nearby, while Xinjiang accessions kept their homogeneous genetic background probably due to their geographical isolation that blocks interspecific hybridization. In addition to M. sieversii in Xinjiang, six other species in distinct habitats, such as M. ioensis and M. angustifolia in North America and M. baccata in East Asia, were also identified with homogeneous genetic background, which gave rise to other hybrid species and possess tremendous value in apple breeding practices (Supplementary Fig. 3). The structure of several hybrid species was consistent with their known pedigrees recorded in the USDA-GRIN database, including M. asiatica, M. prunifolia, M. robusta, and several rootstocks, while that of M. platycarpa did not agree with its pedigree in the database (Supplementary Figs. 4 and 5 and Supplementary Note 3). Together, these findings prompt us to propose a comprehensive apple evolutionary map across Eurasia continent, illustrating the initial domestication from M. sieversii in Kazakhstan, the hybridization between M. sylvestris and the ancient domesticated apples spread from Central Asia to Europe via the Silk Road westward, and the rise of orient hybrid species from crosses between M. baccata and M. sieversii in Kazakhstan distributed and cultivated along the Silk Road eastward (Fig. 2a and Supplementary Note 4). During the domestication process, cultivated apples retained the large fruit size from M. sieversii, gained the firm texture and appetizing flavor from the hybridization with M. sylvestris and continued to be bred into larger and firmer fruit with better flavor and aroma.

Figure 2
Figure 2

Apple evolutionary map. a Apple evolutionary map along the west and east bounds of the Silk Route with center of origin at Kazakhstan in central Asia. b Decay of linkage disequilibrium (LD) measured as the squared correlation coefficient (r 2) by pairwise physical distance in M. domestica, M. sieversii in Kazakhstan, M. sieversii in Xinjiang, M. sylvestris, and other wild species. c Multidimensional scaling (MDS) plot for the pairwise F ST matrix. The Euclidean distances between each pair of groups significantly represent the corresponding F ST values (Spearman rank-sum correlation ρ = 0.95; p < 10−14). d Major alleles of scion and rootstock cultivars derived from M. sieversii in Kazakhstan and M. sylvestris. Asi M. asiatica, Bac M. baccata, Dom M. domestica, Hup M. hupehensis, Rob M. robusta, Sie_K M. sieversii in Kazakhstan, Sie_X M. sieversii in Xinjiang, Syl M. sylvestris

We then evaluated the genetic diversity of different apple subpopulations. The genome-wide nucleotide diversity (π) of M. domestica (2.20 × 10−3) was lower than that of M. sieversii in Kazakhstan (2.35 × 10−3), M. sylvestris (2.55 × 10−3), and other wild species (4.26 × 10−3), while M. sieversii in Xinjiang exhibited the lowest diversity level (1.30 × 10−3). Compared to other domesticated perennial crops, the nucleotide diversity in cultivated apple is higher than that of peach2 (1.5 × 10−3), but lower than that of cassava15 (2.6 × 10−3) and date palm3 (9.2 × 10−3). The similar level of nucleotide diversity between M. domestica and its progenitor M. sieversii in Kazakhstan indicated a very weak bottleneck, if any, during apple domestication, consistent with findings in previous studies8, 9. Linkage disequilibrium (LD) analyses for each group further supported a very weak and nearly undetectable domestication bottleneck (Fig. 2b and Supplementary Note 5). The rapid LD decay of domesticated apple suggested that a large set of markers densely covering the genome is preferred for a high-resolution population genetic analysis, as indicated in a recent study16. Here we also demonstrated the power of our high-density SNPs in enhancing the resolution of genome-wide association studies (GWAS) (Supplementary Note 6, Supplementary Fig. 6, Supplementary Table 3, and Supplementary Data 3 and 4).

To further investigate population divergence among different species groups, we computed pairwise FST values, demonstrating consistent relationships among the subpopulations with our proposed evolutionary scenario (Fig. 2c and Supplementary Fig. 7). Genome-wide inference of major allele origins in M. domestica from M. sieversii in Kazakhstan or M. sylvestris revealed that 46% of the M. domestica genome was probably derived from its progenitor M. sieversii in Kazakhstan and 21% from its secondary contributor M. sylvestris, while the origin of the remaining 33% was uncertain. The genomic introgression from M. sylvestris to scion cultivars is about 10% higher than that to rootstock cultivars, raising the possibility that M. sylvestris may have contributed important alleles for fruit quality and production traits to dessert apple cultivars (Fig. 2d and Supplementary Fig. 8).

Differential selection of domesticated apples

Considering the remarkable role of M. sylvestris in shaping modern domesticated apples, genomic regions dramatically affected by selection during apple domestication were identified in two contrasts: M. domestica vs. M. sieversii in Kazakhstan for initial domestication (Dom_SieK) and M. domestica vs. M. sylvestris for secondary introgression (Dom_Syl) (Fig. 3 and Supplementary Figs. 9 and 10). The selected regions of Dom_SieK and Dom_Syl had a mean size of 33.1 and 42.8 kb, covered a total length of 13.9 Mb (3.7 % of genome) and 17.2 Mb (4.6%), and harbored 840 and 1089 genes, respectively, among which 246 (29.3%) and 336 (30.9%) showed differential expression during apple fruit development (Supplementary Data 58). The identified selective sweeps are enriched with genes associated with fruit sugar content, firmness, color, hormone, and secondary metabolism in both Dom_SieK and Dom_Syl contrasts, while genes related to fruit acidity were only enriched in Dom_Syl (Fig. 3 and Supplementary Data 9). Notably, the enriched genes included those encoding six sugar transporters, several key enzymes in the glycolysis/gluconeogenesis pathway, two sucrose synthases and three cellulose synthases in Dom_SieK, two aluminum-activated malate transporters, a malate dehydrogenase, and a citrate synthase in Dom_Syl, and two sucrose synthases, one pyruvate decarboxylase, and one cellulose synthase in both Dom_SieK and Dom_Syl, highlighting the constant selection of sweet and firm fruits in the history of apple domestication (Fig. 3). Together, these candidate domestication-related genes are indicative of different selective forces for improving different agronomic traits from the two wild contributors during domestication.

Figure 3
Figure 3

Genome-wide distribution of selective sweeps in M. domestica. a Selective sweeps in M. domestica compared with M. sieversii in Kazakhstan. b Selective sweeps in M. domestica compared with M. sylvestris. XP-CLR scores are plotted across the 17 chromosomes in the apple genome with key functional enzyme genes labeled above the dot peaks. Red vertical boxes illustrate selective sweeps, and blue boxes represent local GO enriched regions with associated traits labeled below. Selective regions shared by both comparisons are shaded with light blue bars, while interesting regions only identified in one of the two comparisons are shaded with light yellow bars. Traits include fruit acidity (A), color (C), firmness (F), hormone (H), soluble sugar (S), and secondary metabolites (M). Gene abbreviations: ALMT aluminum-activated malate transporter, ACO 1-aminocyclopropane-1-carboxylate oxidase, ACS 1-aminocyclopropane-1-carboxylate synthase, AE aldose 1-epimerase, AR aldose reductase, BG beta-galactosidase, CAS cycloartenol synthase, CTS citrate synthase, CLS cellulose synthase, FH flavanone 3-hydroxylase, GA3OX gibberellin 3-beta-dioxygenase, GG glucan endo-1,3-b-glucosidase, GMD GDP-mannose 4,6-dehydratase, IFR isoflavone reductase, IMS, 2-isopropylmalate synthase, MD malate dehydrogenase, PDC pyruvate decarboxylase, PDK pyruvate dehydrogenase kinase, PE pectin esterase, PFK 6-phospho-fructokinase, PG polygalacturonase, PL pectate lyase, SPD sorbitol 6-phosphate dehydrogenase, SPS sucrose phosphate synthase, SS sucrose synthase, ST sugar transporter

We further scanned SNPs that were highly divergent between M. domestica and different wild species groups using the top 1% FST values (Supplementary Data 10). A large number of disease resistance (R) genes and genes involved in various different abiotic stresses were found to contain non-synonymous SNPs highly divergent between M. domestica and other wild species groups, suggesting their adaptations to different growth environments. Within M. domestica accessions, genes underlying dwarf quantitative trait loci (QTLs) (Dw1 and Dw2)17, 18, R genes and receptor kinase genes were identified to have non-synonymous SNPs highly divergent between rootstock and scion cultivars, which could facilitate the study of important apple rootstock traits, such as dwarfing, precocity, and disease resistance (Supplementary Data 11). The highly divergent SNPs and the associated genes discovered in this study provided ample information for broadening our understanding of apple speciation, differentiation, and evolution.

Increase of fruit size prior to and during apple domestication

One essential aspect of domestication process for most crop species is to increase fruit and/or seed size, which is also referred to as “domestication syndrome”19. Fruit sizes of M. sylvestris are significantly smaller than those of both M. domestica and M. sieversii, while domesticated apples have larger fruits than M. sieversii (Supplementary Fig. 1d, e). Two previously reported fruit weight QTLs20 (designated as fw1 on chromosome 15 and fw2 on chromosome 8) were found to be co-located with selective sweeps (Fig. 4a). QTLs fw1 and fw2 harbor 11 and 7 genes, respectively, in selective regions of M. domestica from M. sieversii, and 8 and 21 genes, respectively, in sweeps from M. sylvestris (Supplementary Data 12). Genes encoding regulators of cell division, such as fw2.2 in tomato21 and CNR1 in maize22, have been reported to control organ size, and recently a β-galactosidase gene was found to be involved in the regulation of fruit weight and size in strawberry, besides fruit softening23. We found that one cell division regulatory gene (MDP0000223854) and two β-galactosidase genes (MDP0000921848 and MDP0000179821) in fw1 were under human selection. Interestingly, the β-galactosidase gene, MDP0000179821, was in selected regions of both Dom_SieK and Dom_Syl and showed differential expression during apple fruit development with highest expression at the active cell division stage (Supplementary Data 12). Furthermore, several cell division regulatory genes (e.g., MDP0000555176, MDP0000802780, MDP0000846861, and MDP0000681201) and a gene (MDP0000241347) homologous to rice GS3 that controls grain size24 were found in several other selected regions, and they all showed highest expression at the active cell division stage of fruit development (Supplementary Data 6 and 8), suggesting their potential contribution to the increase of fruit size during apple domestication.

Figure 4
Figure 4

Evolution of fruit size during speciation and domestication in apple. a Domestication sweeps underlying apple fruit size QTLs. Within the physical intervals (orange boxes) of the two fruit weight QTLs fw1 and fw2, distributions of XP-CLR scores are shown. Selective sweeps are marked with red bars and interesting genes are labeled above peaks. b MiRNA172g/miRNA172h and the two target genes that contain highly divergent SNPs (pointed by arrows) between M. domestica with large fruits and other wild species bearing very small fruits. c Schematic diagram of the two-step evolution of apple fruit size. BG beta-galactosidase, FBP fructose-1,6-bisphosphatase, FD ferredoxin, PPD pyruvate phosphate dikinase, P4 patellin-4, UGE UDP-glucose 4-epimerase

MiRNA172p was recently reported to regulate apple fruit size by targeting AP2 transcription factors25. Using their precursor sequences, the 16 miRNA172 genes identified in apple26 were clustered into four clades (Supplementary Fig. 11). We detected a highly differentiated SNP only between domesticated and other wild apples in the precursor sequences of miRNA172g and miRNA172h, two miRNAs sharing the same precursor sequences (Fig. 4b). No differentiated SNPs were detected in the 16 miRNA172 genes between M. domestica and M. sieversii. Furthermore, we found that five out of the eight target AP2 genes of miRNA172g and miRNA172h carried highly differentiated SNPs in the comparison between M. domestica and other wild species, two of which comprised non-synonymous SNPs (Fig. 4b and Supplementary Fig. 11). Therefore, besides the previously discovered miRNA172p25, we identified two additional miRNA172 genes (miRNA172g and miRNA172h) that might have contributed to the increase of fruit size during Malus speciation prior to domestication.

Taken together, we propose a two-step evolution model for fruit size enlargement in apple to characterize its unique evolution process (Fig. 4c). Unlike modern maize and tomato whose domestication process started with ancestral species bearing very small seeds or fruits4, 5, apple domestication was initiated from M. sieversii whose fruits are larger than all other wild apples8. As fruit size is one of the most desirable traits for crop domestication and improvement, apple domestication started with a great advantage and much lower evolutionary pressure than other crops. The finding of fruit weight QTLs, and miRNA172s, and their target genes from comparisons between small-fruited wild apples and large-fruited cultivars helped explain why a weak selection in a highly heterozygous perennial crop can still yield favorable large fruits. The mild increase in fruit size during several thousand years of domestication after speciation, partially contributed by QTLs fw1 and fw2, suggests that apple fruit size has great potential to be increased in future breeding practices, considering that the modern tomato fruit is approximately 100 times larger than its direct wild progenitor.

Enhancement of fruit firmness during apple domestication

Besides large fruits, humans also have been selecting firm flesh texture, not only for crispy taste, but also for a longer shelf life, better post-harvest disease resistance, and reduced bruising during harvest and transportation. Fruit firmness is directly linked to enzyme-mediated cell wall modification27. To decipher the genetic mechanism underlying the selection for firm apples, we mined selective sweeps for genes that were potentially involved in regulating fruit firmness. We found a region on chromosome 16 was under intensive human selection in the Dom_SieK contrast, harboring genes encoding key cell wall modifying enzymes including three polygalacturonases (MDP0000512850, MDP0000939625, and MDP0000873268), and one glucan endo-1,3-beta-glucosidase (MDP0000295938) (Fig. 5a). Furthermore, several other selective regions were also found to contain genes related to cell wall modifications. For example, one selective sweep on chromosome 17 from the Dom_SieK comparison comprised three cellulose synthase genes (MDP0000190520, MDP0000289339, and MDP0000184309), and another sweep from the same chromosome harbored one pectate lyase (MDP0000301545), one glucan endo-1,3-beta-glucosidase (MDP0000206670), and one aldose 1-epimerase (MDP0000737131) (Fig. 5b). Similarly, another sweep on chromosome 12 from the Dom_Syl contrast harbored one endo-beta-1,4-mannase (MDP0000832632) and two pectinesterase genes (MDP0000278119 and MDP0000278118) (Fig. 5c). A number of these cell wall-related genes were differentially regulated during fruit development (Supplementary Data 6 and 8). Therefore, the evolution of these genes might have contributed to the firm fruit texture of domesticated apples.

Figure 5
Figure 5

Domestication sweeps underlying apple fruit firmness. Distributions of XP-CLR scores and nucleotide diversity (π) in selective regions on chromosomes 6 (a) and 17 (b) in M. domestica from M. sieversii in Kazakhstan (Dom_SieK) and chromosome 12 (c) from M. sylvestris (Dom_syl), which harbor genes known to be associated with fruit firmness. Distributions of XP-CLR scores are shown in top panels with selective sweeps marked with red bars and interesting genes labeled above peaks. Distributions of π are shown in bottom panels with M. domestica in orange lines, and M. sieversii and M. sylvestris in green lines. AE aldose 1-epimerase, CLS cellulose synthase, GG glucan endo-1,3-b-glucosidase, MM endo-beta-1,4-mannase, PE pectinesterase, PG polygalacturonase, PL pectate lyase

Enrichment of fruit flavor during apple domestication

Fruit flavor, mainly a balance between sugars and acids, is another important trait under human selection. Although it has been reported that fruit acidity rather than sweetness is likely to undergo artificial selection28, we found that both fruit sugar content and acidity have been altered during apple domestication using historical phenotype data in the USDA-GRIN database (Supplementary Fig. 1). During the domestication from M. sieversii in Kazakhstan, a region on chromosome 12 has undergone intensive selection and co-localizes with a sorbitol QTL29. Interestingly, genes encoding four sorbitol transporters and two sugar transporters cluster within this sorbitol QTL under selection, and all four sorbitol transporter genes were differentially expressed during apple fruit development (Fig. 6a and Supplementary Data 13). Similarly, another genomic region on chromosome 13 enriched with genes encoding key enzymes of sugar metabolism is under intensive selection from M. sylvestris (Fig. 6b). Notably, the two sucrose synthase genes in this region are also in selective sweeps from M. sieversii in Kazakhstan.

Figure 6
Figure 6

Domestication of fruit sweetness and acidity in apples. a Selective sweeps from M. sieversii in Kazakhstan that co-localize with a sorbitol QTL. b Domestication sweeps from M. sylvestris that contain key genes for sugar metabolism. Distributions of XP-CLR scores are shown. Selective sweeps are marked with red bars and interesting genes are labeled above peaks. cf Domestication of the Ma1 gene that regulates apple fruit acidity. c Distributions of nucleotide diversity (π) of M. domestica (red), M. sieversii in Kazakhstan (blue), and M. sylvestris (green) in the Ma1 genome region. d Ma1 selective sweeps during domestication from M. sieversii in Kazakhstan (blue) and M. sylvestris (green). Sweep regions are marked with filled boxes. e Distribution of F ST between M. domestica and M. sieversii in Kazakhstan in the Ma1 genome region. f Distribution of F ST between M. domestica and M. sylvestris in the Ma1 genome region. bHLH transcription factor, CTS citrate synthase, HK hexokinase, MYB transcription factor, PDK pyruvate dehydrogenase kinase, PE pectin esterase, PG polygalacturonase, PK pyruvate kinase, SBT sorbitol transporter, SS sucrose synthase, ST sugar transporter

To study fruit acidity during apple domestication, we investigated the nucleotide diversity of gene Ma1, which underlies the major fruit acidity QTL Ma and encodes an aluminum-activated malate transporter30. We identified a region around 1.5 kb upstream of Ma1 coding sequence (CDS) with substantially reduced nucleotide diversity in M. domestica compared to M. sylvestris, and another region about 750 bp downstream of Ma1 CDS when compared to M. sieversii in Kazakhstan (Fig. 6c–f), indicating that the Ma1 might be under strong selection during apple domestication. The distributions of FST of SNPs surrounding the Ma1 gene region further underpinned the selective sweep regions. In addition to Ma1, two other aluminum-activated malate transporter genes and a gene encoding malate dehydrogenase were identified in selection sweeps from M. sylvestris, assisting in explaining the significantly reduced acidity level in domesticated apples when compared to M. sylvestris (Fig. 3 and Supplementary Fig. 1).

Discussion

We report here a comprehensive genome variation map of apple through deep resequencing the genomes of 117 wild and cultivated apples. The population analyses reveal that modern cultivated apples originate from M. sieversii in Kazakhstan with intensive recent introgressions from M. sylvestris, while M. sieversii in Xinjiang is an isolated ecotype with a homogeneous genetic background that holds great potential for future apple improvement. Chinese native species, such as M. asiatica and M. prunifolia, are very likely to be hybrids between M. baccata and M. sieversii in Kazakhstan. The similar level of genetic diversity between M. domestica and its direct wild progenitor M. sieversii in Kazakhstan is consistent with the comparably fast LD decays in these two species and an undetectable bottleneck in apple domestication. The weak selection during apple domestication might be explained by its unique physiological characteristics, such as self-incompatibility, lengthy juvenile phases, and limited sexual reproduction. However, several thousand years of selection still has accumulated a considerable amount of desirable fruit traits that make apple one of the most important fruit crops worldwide. We identified selective sweeps underlying fruit size, flesh firmness, sweetness, and acidity, as well as highly divergent SNPs between rootstock and scion cultivars that are associated with dwarfing and disease resistance. The identified large set of SNPs, highly confident candidate genes associated with important apple traits, and the insight gained regarding apple evolution and domestication provide valuable information for facilitating future apple marker assisted breeding, QTL mapping, and population-structured association studies.

Methods

Sample preparation and sequencing

A total of 117 apple accessions were included in this study, of which 70 were provided by USDA-ARS Plant Genetics Resources Unit (Geneva, NY, USA), 33 by Institute of Pomology of Chinese Academy of Agricultural Sciences (Xingcheng, Liaoning, China), and 14 were collected from the Tian Shan Mountains (Xinjiang, China). Genomic DNA was extracted from young leaves using the DNeasy Plant Mini Kit (Qiagen, Venlo, the Netherlands). Paired-end Illumina genomic libraries were prepared and sequenced on an Illumina Hiseq 2500 platform following the manufacturer’s instructions (Illumina, San Diego, CA).

Mapping and variant calling

The Illumina paired-end reads from each apple accession were first processed to collapse duplicated read pairs into unique read pairs. Duplicated read pairs were defined as those having identical bases at positions of 15-90 in both left and right reads. The resulting unique reads were processed to remove adaptor and low-quality sequences using Trimmomatic31. The cleaned unique reads were aligned to the apple reference genome12 (v1.0p, https://www.rosaceae.org/species/malus/malus_x_domestica/genome_v1.0p) using BWA32, and only uniquely mapped reads were retained. Following mapping, genotypes were assigned to each genomic position for each accession based on the alignment mpileup files generated by SAMtools33. SNPs and small indels in the population of 117 apple accessions were then identified if they were supported by at least two mapped reads, and had an allele frequency ≥0.3. Furthermore, SNP sites with the nearest SNPs less than 5 bp away, containing only heterozygous SNPs, or with more than 50% missing data were excluded.

To validate the SNP calling, we randomly selected 958 homozygous SNP loci across the genome and PCR-amplified and Sanger-sequenced the corresponding genomic regions in six apple accessions (M. domestica, Dom_01; M. sieversii, Sie_K_04, Sie_X_03 and Sie_X_09; M. sylvestris, Syl_01; and M. hupehensis, Hup_01).

Phylogenetic and population structure analyses

We selected a total of 24,326 SNPs at fourfold degenerate sites (4D SNPs) with minor allele frequency (MAF) ≥5% and missing rate per site ≤10% for phylogenetic and population structure analyses. The rationale for choosing 4D SNPs is that they do not cause amino-acid changes and thus, should be under less selective pressure and more reliably reflect population structure and demography18. PCA was performed using program EIGENSOFT34. A neighbor-joining phylogenetic tree was constructed using MEGA635 in 1000 bootstrap replicates with pear “Pyrus × bretschneideri” as the outgroup. Pear genomic sequence reads36 were downloaded from the NCBI SRA database (accession no. SRP016889) and aligned to the apple genome v1.0p for SNP calling. Population structure was investigated using STRUCTURE13. To determine the most likely number of ancestral kinships (K) in the apple population, STRUCTURE was run 20 times on 2000 randomly selected 4D SNPs for each K value from 3 to 19. The statistic “∆K”, which indicates the change in likelihood of different numbers of clusters, was calculated, and the cluster number with the highest ∆K value, which indicated the most likely number of clusters in the population, was obtained. We then used the whole set of 4D SNPs to calculate the cluster membership for each accession with 10,000 iterations. According to the phylogenetic and population structure analyses, nine accessions (M. domestica, Dom_15, Dom_29, Dom_32, Dom_34, and Dom_35; other wild species, Kir_01, Ori_01, and Pum_01; M. sylvestris, Syl_10) were positioned into unexpected species groups and thus excluded from downstream population genetics analyses.

Inferring population genetic statistics

Nucleotide diversity (π) is often used as a measurement of the degree of the genotype variability within a population or species37. Values of π were calculated for 10-kb non-overlapping windows across the apple genome with the final set of 7,218,060 SNPs using the BioPerl module PopGen38.

Population differentiation is evaluated by the fixation index FST39. Pairwise FST values were calculated among the eight species groups listed in the Supplementary Data 1 for the final SNP set using a variance component approach implemented in the R package HIERFSTAT40. To visualize the 8 × 8 pairwise FST matrix, multidimensional scaling (MDS) was performed using an R function cmdscale to transfer FST values into two dimensional values for plotting. To test the accuracy of this MDS visualization, the Spearman rank-sum correlation ρ was calculated between Euclidean distances between all pairs of values in the MDS plot and the corresponding FST values. SNPs with top 1% FST values were identified as highly divergent variations in comparisons between M. domestica and each of the four wild groups, including M. sieversii in Kazakhstan, M. sieversii in Xinjiang, M. sylvestris, and other wild species, as well as between rootstock and scion cultivars. To better reflect selective pressure on nucleotide variants, non-synonymous SNPs were further identified from the highly divergent SNPs with top 1% FST values, and the corresponding genes containing these non-synonymous SNPs were determined.

LD

Correlation coefficient (r2) of genotypes was calculated to measure LD level in each of the five groups using Haploview41 with the following parameters: -nogui -minMAF 0.10 -hwcutoff 0.001 -dprime. SNPs within each group were extracted for the analysis. SNPs within 500-kb sliding windows were used to estimate average r2 at various physical distance classes, and the LD decay was plotted as a function of the derived average r2 and physical distances. Tag SNPs were also identified using Haploview with parameters set as follows: -nogui -minMAF 0.05 -hwcutoff 0.001 -dprime -blockoutput GAB -minGeno 0.8 -pairwiseTagging.

Inferring-derived alleles

To evaluate whether major alleles of M. domestica (Dom) are derived from those of M. sieversii in Kazakhstan (Sie_K) or M. sylvestris (Syl), the entire genome was scanned using SNPs with MAF ≥5% and missing rate per site ≤10%. First, allele frequency per site was computed in each species group and the allele with the frequency >0.6 was assigned as the major allele. For each site, we considered the major allele in Sie_K as the ancestral allele in Dom if these two groups share consistent major alleles; similarly, Syl was considered as the allelic ancestor for Dom when they had the same major alleles. For each non-overlapping 100-kb window, if the count of ancestral alleles as Sie_K was greater than two times of that as Syl and the total SNP count was larger than five, we regarded this region as being derived from Sie_K; similarly, if the ancestral-allele count ratio between Syl and Sie_K was larger than two and the window contained more than five SNPs, we considered this window as originating from Syl.

Identification of selective sweeps

Selective sweeps across the genome were identified using a XP-CLR method that models the allele frequency spectrum to search for signals of differentiation between two populations42, following previous studies43, 44 with modifications. Briefly, selection screening was performed in two contrasts: M. domestica vs. M. sieversii in Kazakhstan for initial domestication (Dom_SieK) and M. domestica vs. M. sylvestris for introgressive domestication (Dom_Syl). Genetic distances between adjacent SNPs were calculated according to their physical distances in a widely used genetic map reported with the apple reference genome12. Parameters “-w1 0.0005 100 100 -p0 0.7” were adopted to run the program for each chromosome, allowing XP-CLR scores to be calculated for each 100-bp region using unphased SNPs with correlation level at 0.7 and no more than 100 SNPs per window (in size of 0.05 cM). The XP-CLR scores per 100 bp were averaged across non-overlapping 10-kb windows on each chromosome. Adjacent 10-kb windows with an average XP-CLR score no less than 80% of the genome-wide average XP-CLR score were joined as putative selective regions, which were further merged together if two regions were separated by only one low-score 10-kb window. The maximum of window-wise average XP-CLR scores in a merged region was assigned as the region-wise XP-CLR score. Merged regions with top 10% of region-wise XP-CLR scores were considered as candidate selective sweeps. To improve the prediction accuracy, only candidate selective sweeps having top 50% of π ratios between the ancestral and domesticated species were kept.

Genes in the candidate selective sweeps were grouped by their physical locations into each 1-Mb non-overlapping segments throughout the genome. Adjacent segments and segments separated by no more than 1-Mb were merged together, while segments containing no more than five genes were discarded. GO term enrichment analyses were conducted for genes in each merged segment along the genome using GO::TermFinder45.

Genome-wide association study

The USDA-GRIN database archives phenotypic observations for 105 different traits in 4123 apple accessions from 1995 to 2014 (https://npgsweb.ars-grin.gov/gringlobal/cropdetail.aspx?type=descriptor&id=115). The phenotypic scores of fruit flavor, weight, width, length, flesh firmness, skin color, and soluble solid content were downloaded for 66 out of the 70 accessions from USDA-ARS that are included in the USDA-GRIN database. Phenotype scores recorded in multiple years for a particular accession were screened to exclude outliers (more than 1.5 times the interquartile range below the first quartile or above the third quartile) and then averaged across the years. Tukey’s HSD mean separation tests were conducted to analyze these phenotypes in pairwise comparisons between M. domestica, M. sieversii in Kazakhstan, and M. sylvestris.

Phenotypic data of skin color was used for the association study. To improve phenotyping of fruit skin color, we manually examined fruit pictures in the USDA-GRIN database and assigned a score of fruit skin color for each accession using the following scoring system: 0, green; 1, yellow; 2, light red (green base with pink-red area and/or stripes less than half of the fruit); 3, medium red (green-yellow base with blush more than half of the fruit); 4, red (without green or yellow base); 5, dark red. Same was done on 13 accessions collected from China (Supplementary Table 3). The final set SNPs were filtered by keeping those with missing rate ≤10%, MAF ≥5%, SNP calling rate per accession ≥80%, and P value of Hardy-Weinberg equilibrium test ≤0.001. The resulting SNPs were used to perform GWAS for fruit skin color using a linear mixed model (LMM) implemented in the FaST-LMM program46. Raw P values were adjusted for multiple testing using the Benjamini-Hochberg procedure47 and a significant association was based on a threshold of false discovery rate of 0.1 (corresponding to raw P value of 3.03 × 10−6).

RNA-seq data generation and gene expression analysis

Fruit samples were taken at five stages of fruit development from the apple cultivar “Greensleeves”: 18 days after bloom (DAB) (active cell division), 37 DAB (the end of cell division), 67 DAB (rapid cell expansion), 90 DAB (rapid cell expansion), and 132 DAB (ripening). Three biological replicates were collected for each stage. Fresh tissues were immediately frozen in liquid nitrogen and ground to fine powder. Total RNA was extracted using the QIAGEN RNeasy Plant Mini Kit (Qiagen, USA) followed by treatment with RNase-free DNase I (Promega, USA) according to the manufacturers’ protocols. Strand-specific Illumina RNA-Seq libraries were constructed following the protocol described in Zhong et al.48 and sequenced on the Illumina HiSeq 2000 system using single-end 51-bp mode. Around 20–50 million reads were generated for each of the 15 libraries. Raw reads were first processed to remove adapter and low-quality sequences using Trimmomatic31. Reads shorter than 40 bp after trimming were discarded. The resulting reads were then aligned to the ribosomal RNA database49 using Bowtie50, allowing up to three mismatches. The aligned reads were discarded and the remaining reads were aligned to the apple genome (v1.0) using HISAT51. Raw counts for each apple gene were derived from the read alignments and normalized to reads per kilobase of exon model per million mapped reads (RPKM). Differential expression analyses were performed using edgeR52. Genes with adjusted P values less than 0.01, expression changes of at least twofold, and expression levels of at least 1 RPKM in at least one of the five stages were identified as differentially expressed genes during fruit development.

Data availability

Sequence reads of genome and transcriptome resequencing have been deposited into the NCBI sequence read archive under accessions SRP075497 and SRP102350, respectively. SNP data sets can be accessed at ftp://bioinfo.bti.cornell.edu/pub/Apple_SNP/.

Additional Information

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Acknowledgements

We thank Dr Eric Richards for critical reading of this manuscript. This research was supported by grants from the National Natural Science Foundation of China (31572091), the Special Fund for Agro-Scientific Research in the Public Interest of China (201303093), and the US National Science Foundation (IOS-0923312, IOS-1339287, and IOS-1539831).

Author information

Author notes

  1. Naibin Duan, Yang Bai, Honghe Sun and Nan Wang contributed equally to this work.

Affiliations

  1. State Key Laboratory of Crop Biology, Shandong Agricultural University, Tai’an, Shandong, 271000, People’s Republic of China

    • Naibin Duan
    • , Nan Wang
    • , Shouqian Feng
    • , Zongying Zhang
    • , Zhiquan Mao
    • , Xiang Shen
    • , Xiaoliu Chen
    • , Yuanmao Jiang
    • , Shujing Wu
    • , Chengmiao Yin
    • , Shunfeng Ge
    • , Long Yang
    • , Shenghui Jiang
    • , Haifeng Xu
    • , Jingxuan Liu
    • , Deyun Wang
    • , Changzhi Qu
    • , Yicheng Wang
    • , Weifang Zuo
    • , Li Xiang
    • , Huairui Shu
    •  & Xuesen Chen
  2. Shandong Centre of Crop Germplasm Resources, Shandong Academy of Agricultural Sciences, Jinan, Shandong, 250100, People’s Republic of China

    • Naibin Duan
    •  & Yumin Ma
  3. Boyce Thompson Institute, Cornell University, Ithaca, NY, 14853, USA

    • Yang Bai
    • , Honghe Sun
    • , Xin Wang
    • , Chen Jiao
    • , Noah Legall
    • , Linyong Mao
    • , Yimin Xu
    •  & Zhangjun Fei
  4. State Key Laboratory of Crop Stress Biology in Arid Areas, College of Horticulture, Northwest A&F University, Yangling, Shaanxi, 712100, People’s Republic of China

    • Mingjun Li
  5. Section of Horticulture, School of Integrative Plant Science, Cornell University, Ithaca, NY, 14853, USA

    • Sibao Wan
    • , Kenong Xu
    •  & Lailiang Cheng
  6. The Institute of Pomology, Chinese Academy of Agricultural Sciences, Xingcheng, Liaoning, 125100, People’s Republic of China

    • Kun Wang
    •  & Yuan Gao
  7. College of Forestry and Horticulture, Research Centre of Specialty Fruits, Xinjiang Agricultural University, Urumqi, Xinjiang, 830000, People’s Republic of China

    • Tianming He
  8. Mudanjiang Branch of Heilongjiang Academy of Agricultural Science, Mudanjiang, Heilongjiang, 157500, People’s Republic of China

    • Chang Liu
  9. Key Laboratory of Biogeography and Bioresource in Arid Land, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, Xinjiang, 830011, People’s Republic of China

    • Daoyuan Zhang
  10. USDA-Agricultural Research Service, Plant Genetic Resources Unit, Geneva, NY, 14456, USA

    • Thomas Chao
    • , Gennaro Fazio
    •  & Gan-Yuan Zhong
  11. USDA-Agricultural Research Service, Robert W. Holley Center for Plant and Health, Ithaca, NY, 14853, USA

    • Zhangjun Fei

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Contributions

X.C., Z.F., Y.B., N.D., L.C., G.Z., and H.S. designed and managed the project. N.D., N.W., Y.M., C.J., S.W., Y.X., C.T.C., K.W., T.H., Z.Z., S.J., H.X., J.L., D.W., C.Q., Y.W., L.X., W.Z., C.L., D.Z., and Y.G. collected samples and performed biological experiments for DNA sequencing. N.D., Y.B., H.S., X.W., N.L., L.M., Z.M., X.S., X.C., S.W., S.F., C.Y., S.G., L.Y., and K.X. performed data analyses. Y.B. and N.D. wrote the manuscript. Z.F., L.C., G.-Y.Z., and K.X. revised the manuscript. All authors read and approved the manuscript.

Competing interests

The authors declare no competing financial interests.

Corresponding authors

Correspondence to Yang Bai or Zhangjun Fei or Xuesen Chen.

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