Abstract
Dragon fruits are tropical fruits economically important for agricultural industries. As members of the family of Cactaceae, they have evolved to adapt to the arid environment. Here we report the draft genome of Hylocereus undatus, commercially known as the white-fleshed dragon fruit. The chromosomal level genome assembly contains 11 longest scaffolds corresponding to the 11 chromosomes of H. undatus. Genome annotation of H. undatus found ~29,000 protein-coding genes, similar to Carnegiea gigantea (saguaro). Whole-genome duplication (WGD) analysis revealed a WGD event in the last common ancestor of Cactaceae followed by extensive genome rearrangements. The divergence time between H. undatus and C. gigantea was estimated to be 9.18 MYA. Functional enrichment analysis of orthologous gene clusters (OGCs) in six Cactaceae plants found significantly enriched OGCs in drought resistance. Fruit flavor-related functions were overrepresented in OGCs that are significantly expanded in H. undatus. The H. undatus draft genome also enabled the discovery of carbohydrate and plant cell wall-related functional enrichment in dragon fruits treated with trypsin for a longer storage time. Lastly, genes of the betacyanin (a red-violet pigment and antioxidant with a very high concentration in dragon fruits) biosynthetic pathway were found to be co-localized on a 12 Mb region of one chromosome. The consequence may be a higher efficiency of betacyanin biosynthesis, which will need experimental validation in the future. The H. undatus draft genome will be a great resource to study various cactus plants.
Subject terms: Comparative genomics, Genome duplication, Genome evolution
Introduction
Dragon fruits (pitahaya or pitaya) are a group of Hylocereus species in the Cactaceae family. The genus Hylocereus was classified into 19 species based on morphological characteristics, and all of these species are indigenous to tropical America1. Among them, Hylocereus undatus (commonly known as the white-fleshed pitaya) is the most commonly cultivated species as a fruit crop2. The precise origin of H. undatus is not clear, but it is generally considered a native to Southern Mexico and Central America3. Today, this species has been commercially grown throughout tropical and subtropical regions of the world, particularly in Southeast Asia and Southern Mexico4,5.
In recent years, dragon fruits (including H. undatus and the red-fleshed H. polyrhizus) have been accepted as important fruit crops for their rich nutrient content6,7, including high amounts of antioxidants (e.g., betacyanin and other phenolics), dietary fibers, prebiotics, vitamins, and minerals (e.g., calcium and potassium). These nutrients have numerous benefits to human health, which may also explain the increased consumption of dragon fruit for health purposes6,7.
In Asia, dragon fruits are the fifth most popular tropical fruits, and the global production of H. undatus has been increasing. In Vietnam alone, there are 40,000 hectares (Ha) of land dedicated for dragon fruit production, which is worth ~$895 million annually8. In addition to being consumed as a fruit, H. undatus is also known as an ornamental plant owing to its exotic appearance and night flowering7. Also, its fruit rind or peel has a high content of betacyanins (one type of betalains), and therefore H. undatus has been used to produce coloring dyes and additives in the food and cosmetic industries6,7.
In addition to their significance in agricultural industries, as members of the family of Cactaceae dragon fruits are also important for the study of cactus plants in general. For example, species of Cactaceae are well known to be highly drought resistant. To adapt to an arid environment, dragon fruits and other cacti have developed fascinating structures, including succulent stems, acicular leaves, and watery fruits. In fact, the family Cactaceae arose ~28.8 (median with a range 15–45) millions of years ago (Mya)9,10, when the Earth underwent a drop in atmospheric CO2 concentration and a global expansion of aridity. As a result, plants in this family have gone through rapid genome evolution (e.g., whole-genome duplication and gene family expansion/contraction11,12) and species diversification, as well as drastic changes at the phenotypic level13,14, which leads to a conflict between molecular phylogeny and classification based on morphological characters15,16. Recently, five cacti genomes have been sequenced to study homoplasy among different cacti and its impact on molecular phylogenies17. Obviously, more genomes sequenced in Cactaceae will certainly further improve our understanding of the cacti evolution and adaptation to dry and hot climates.
Due to their economic importance, an increasing number of research papers have been published in recent years to study dragon fruits from the food science perspective18–22 and using RNA sequencing (RNA-seq) technology. For the latter, RNA-seq of Hylocereus species has been used to study abiotic stress response23–25, betalain synthetic pathway26,27, disease-resistant genes28, and antioxidant resistance during storage29,30. Due to the lack of a reference genome, all of these studies are based on mapping RNA-seq reads to de novo assembled transcripts instead of mapping to a reference genome.
In this study, we provide a high-quality genome assembly of H. undatus at the chromosome level. This highly continuous draft genome has allowed us to (i) study the whole-genome duplication of dragon fruits, (ii) date the divergence of H. undatus from other cacti, (iii) identify gene ontology functional groups that distinguish cacti from non-cacti plants, and distinguish H. undatus from other cacti, (iv) better understand the genomic adaptation of H. undatus to drought resistance, (v) study differentially expressed genes in trypsin-treated dragon fruit during storage by mapping RNA-seq reads to the H. undatus draft genome, and lastly, (vi) identify key enzymes that are involved in the synthesis of betacyanin, a red-violet pigment and antioxidant with a very high concentration in dragon fruits.
Results
The draft genome of H. undatus contains 11 long scaffolds at the chromosomal level
The genome of the H. undatus cultivar “David Bowie” (from Puerto Rico, Fig. 1A) was sequenced using a combination of 10X chromium sequencing, Chicago and Hi-C chromatin proximity ligation from Dovetail Genomics (see “Methods“ for details). The initial 10X raw read assembly had a contig N50 = 31 kb, and scaffold N50 = 769 kb. This assembly was significantly improved with Chicago and Hi-C data for scaffolding using the HiRise pipeline, which produced a much-improved assembly with a scaffold N50 = 109.7 Mb and assembly size = 1.33 Gb. Previous studies have indicated that the chromosome number of H. undatus is 2n = 2231, which has been further confirmed by flow cytometry32–34. Furthermore, the genome size of H. undatus was estimated to be 1.44 Gb33 with DNA 2C content = 3.63, using Arabidopsis as a reference (DNA 2C content = 0.32)35. Therefore, it is estimated that over 92.4% (1.33/1.44) of the H. undatus genome was assembled into 33,691 scaffolds. Interestingly, 88.7% of the assembled genome were present in the 11 longest scaffolds (Fig. 1B), corresponding to the 11 chromosomes reported in dragon fruit32. This suggests that our H. undatus genome assembly is close to the chromosomal level.
The completeness of the draft genome was further evaluated by BUSCO (Benchmarking Universal Single-Copy Orthologs)36. Of the 2121 single-copy orthologous genes in the BUSCO eudicotyledons_odb10 database, 1972 (93.0%) were identified in our draft genome (Supplementary Table S1). The distribution of genes (see below) in assembled scaffolds showed that almost all of these genes resided in the 11 longest scaffolds (Fig. 1C). A total of 89.1% RNA-seq reads, obtained from NCBI (SRR323454637, sampled from the shoot of H. polyrhizus cultivar Zihonglong), were mapped to the draft genome. All these evaluations suggested high completeness and high continuity of the dragon fruit draft genome at the chromosome level.
Genome annotation of H. undatus found ~29,000 protein-coding genes close to the number in Carnegiea gigantea (saguaro)
Repeat regions in the genome were annotated using a combination of ab initio and homology search methods (see “Methods”). As the result, 58.89% of the genome were identified as repeat regions (Supplementary Table S2). Long terminal repeat (LTR) elements were the largest category of classified/annotated repeats (22.47% of the genome). Most of the repeat regions (28.58%) were unclassified (Supplementary Table S2). For noncoding gene prediction, in total, 5637 tRNAs, 2364 rRNAs, and 5698 other noncoding RNAs were predicted in the dragon fruit draft genome (Fig. 1C).
For protein-coding gene prediction, MAKER38 was run with three iterations using RNA-seq and protein homology data as supporting evidence (see “Methods”). In total, 28,992 genes (length > 50 aa) were predicted (Table 1). Of the 28,992 proteins, 21,655 (74.7%) were annotated by eggNOG39, of which 10,093 were assigned to GO terms and 9920 were assigned to KEGG pathways.
Table 1.
Genome | Number of scaffolds | Scaffold N50 | Assembly size (Mb) | Gene number (>=150 bp) | Average number of exons per gene | Average exon length (bp) | Average intergenic length (bp)a | Average protein length (aa) |
---|---|---|---|---|---|---|---|---|
Cgig | 57,405 | 61.5 kb | 980.4 | 28,288 | 5.35 | 243.93 | 7941.11 | 373.55 |
Hund | 33,691 | 109 Mb | 1332.5 | 28,992 | 5.29 | 263.44 | 35806.20 | 361.51 |
Lsch | 158,705 | 9.3 kb | 797.8 | 94,756 | 2.32 | 210.07 | 2521.97 | 205.03 |
Phum | 126,352 | 4.4 kb | 413.9 | 30,016 | 3.35 | 263.47 | 1960.61 | 294.75 |
Ppri | 171,584 | 5.4 kb | 629.3 | 41,825 | 3.43 | 230.01 | 2414.47 | 265.32 |
Sthu | 159,478 | 10.5 kb | 853.2 | 93,917 | 2.29 | 212.64 | 2807.56 | 203.95 |
Hund Hylocereus undatus, Sthu Stenocereus thurberi, Lsch Lophocereus schottii, Cgig Carnegiea gigantea, Ppri Pachycereus pringlei, Phum Pereskia humboldtii
aThis is likely underestimated for all genomes except Hund due to the low N50 values (genomes are too fragmented)
In order to conduct a comparative genomic analysis, MAKER was also run to predict protein-coding genes in draft genomes of Stenocereus thurberi, Lophocereus schottii, Pachycereus pringlei, and Pereskia humboldtii, which were previously sequenced in ref. 17. The same previous paper also sequenced Carnegiea gigantea with a better genome assembly and the author has kindly provided us the predicted protein sequences, so MAKER prediction was not needed for this species. The statistics of protein-coding genes in the six cactus species (including H. undatus) are provided in Table 1. Notably, for L. schottii and S. thurberi, MAKER predicted 94,756 and 93,917 protein-coding genes, respectively. These numbers were three to four times larger than those of other cactus species, implicating possible whole-genome duplications (WGDs) in these two species (see more details below).
Whole-genome duplication analysis predicts a WGD event in the last common ancestor of Cactaceae followed by extensive genome rearrangements in H. undatus
The large variation in the gene contents of the six cactus species (Table 1) demanded a whole-genome duplication (WGD) analysis. The paralogous and orthologous genes were identified by using a reciprocal best hit (RBH) approach with BlastP. The synonymous substitution rates (Ks) and the rate of transversions on fourfold degenerate synonymous sites (4dTv) of global paralogous genes within each species were calculated to infer potential WGD events. Similarly, the Ks and 4dTv rates of global orthologous genes between different species were also calculated. In addition to the six genomes of the family Cactaceae, we have also collected five sequenced genomes representing other families within the order of Caryophyllales: Beta vulgaris (Bv)40 and Spinacia oleracea (So)41 of Chenopodiaceae, Aldrovanda vesiculosa (Av) of Droseraceae42, Simmondsia chinensis (Sc) of Simmondsiaceae43, and Fagopyrum tataricum (Ft) of Polygonaceae44.
Using 507 single-copy genes identified in the 12 genomes (six Cactaceae + five other Caryophyllales + Arabidopsis thaliana), a phylogeny (Fig. 2A) was built to depict the phylogenetic relationship among these species. According to this phylogeny genomes of Cactaceae are closer to Chenopodiaceae, then to Simmondsiaceae, and lastly to Droseraceae and Polygonaceae. This is also supported by the 4dTv (Fig. 2B) and the Ks (Supplementary Fig. S1A) distributions of orthologous genes between Hund and the five Caryophyllales genomes.
The intragenome 4dTv distributions (Fig. 2C) of paralogous genes reveal three peaks in Hund. This is also true for two other Caryophyllales genomes (Ft and Sc) and the distant At. In contrast, Bv and So have two peaks. However, all the 12 genomes have the last peak (γ), which corresponds to the ancient whole-genome triplication (WGT) shared by all eudicot plants. The middle peak (β) is found in all species except for Bv and So, while its exact position differs slightly among different species. While this β peak is the largest peak in Hund, At, and Ft, it is very small and almost neglectable in Av. Remarkably, Av also distinguishes itself from other species with a very large first peak (α), which has been reported to be a very recent WGT event unique in Av42. In all other species, this α peak is much smaller and has very small 4dTv values, suggesting it might not represent a WGD but rather a smaller scale recent duplications such as tandem or dispersed duplications. The reason is that more recent WGD tends to result in larger peaks (e.g., the WGT in Av creates the largest α peak), as more recently duplicated genes have not degenerated as much as more anciently duplicated genes. We also provided the Ks distributions of the paralogous genes in Supplementary Fig. S1A, where the separation of the α and β peaks is not very evident in most species.
Further 4dTv analysis of the other five Cactaceae genomes (Fig. 2D), despite their low N50 assemblies, found that they all share the β peak and the γ peak with Hund. The positions of the two peaks are also fairly consistent in these six genomes. In contrast, the α peak differs significantly: it is the largest in Lsch and Sthu, very small in Phum (almost neglectable), and medium in Ppri, Hund, and Cgig. Considering that the gene numbers in Lsch and Sthu are at least three times larger than the other four genomes (Table 1), one can speculate that this α peak might correspond to a more recent WGT event that had only happened in Lsch and Sthu. However, this speculation needs a more vigorous study once the genome assemblies of the two species are much-improved. The current very fragmented assemblies of two genomes hinder the verification of the putative WGT in these genomes via a syntenic block analysis.
According to Fig. 2B, the β peak (first dashed line) has a lower 4dTv value than the Hund-Bv and Hund-So 4dTv values (box plot), suggesting that the WGD event happened after the divergence of Cactaceae from other Caryophyllales families. Similarly, the γ peak (second dashed line) has a higher 4dTv value than the Hund-At values (box plot), confirming that the ancient WGT event happened before the emergence of the common ancestor of Hund and At, i.e., at the base of all dicot plants. To approximately estimate the absolute dates of the three WGD events, we used the formula: T = Ks/2γ, where γ = 1.5 × 10−8 is the rate of synonymous substitutions per site per year for dicots following45. From the Ks distributions of the paralogous genes in the six Cactaceae (Supplementary Fig. S2B), we estimated that the α peak (WGT in Lsch and Sthu) corresponds to 6.0 MYA, the β peak (WGD in the last common ancestor of Cactaceae) corresponds to 25.7 MYA, and the γ peak (the ancient core dicot WGT) corresponds to 135.0 MYA.
With the chromosome-level assembly of Hund, we have also performed a whole-genome self-alignment (Fig. 2E), an intragenome syntenic block analysis (Fig. 2F), as well as an inter-genome syntenic block analysis (Fig. 2F) of Hund vs. the previously published chromosome-level assemblies of Bv40 and So41. These results show that dragon fruit had experienced a WGD event followed by extensive genome rearrangements (e.g., chromosome breakage and reorganization) (Fig. 2E). For example, Chr11 (Scaffold 2055) shares large syntenic gene blocks with Chr8 (Scaffold 33675) and Chr3 (Scaffold 33676), while Chr10 (Scaffold 3410) shares large syntenic gene blocks with three chromosomes: Chr2, Chr8, and Chr9. It also appears that the genomic synteny is fairly conserved between Cactaceae and Chenopodiaceae genomes according to the inter-genome Hund-Bv and Hund-So synteny alignments (Fig. 2F). The inter-genome alignments of Hund-Bv and Hund-So were also made (Supplementary Fig. S8A, B). These alignments show that there is a clear two-to-one relationship between Hund and the other two genomes with respect to the aligned syntenic blocks, which supports the lack of the β WGD peak in Bv and So (Fig. 2C).
Notably, Bv and So are among the earliest sequenced Caryophyllales genomes and both have high-quality chromosome-level assemblies. The chromosome-level assembly of Bv has been achieved by genetic and physical mapping as well as classic BAC/Fosmid clones and long-read Sanger/454 sequencing40. The chromosome-level assembly of So has been supported by BioNano optical mapping data and long-range mate-pair sequencing libraries41. Therefore, the inter-genome synteny alignments shown in Fig. 2F also suggest that our chromosome-level assembly of Hund genome is of high quality. In contrast, we were not able to perform the intragenome and inter-genome syntenic block analyses for the other five cacti because their genome assemblies have much lower continuity (low N50 and too many contigs) (Table 1).
To study which of the three 4dTv peaks in Fig. 2D correspond to the Hund intragenome syntenic blocks plotted in Fig. 2E, F, we have extracted the paralogous genes located in the syntenic blocks only and plotted their 4dTv distribution. The inset plot of Fig. 2F clearly shows that these Hund syntenic blocks correspond to the β peak in Fig. 2D. This again supports that the small α peak in Hund is not derived from a WGD; otherwise, the 4dTv distribution of Hund syntenic blocks will have a peak corresponding to the α peak. Furthermore, the Ks distributions of the six Cactaceae genomes (Supplementary Fig. S2B) also reveal that the α peak is only evident in Hund, Lsch, and Sthu, and it is much smaller than the β peak in Hund. Overall, all the evidence suggests that unlike Lsch and Sthu, Hund does not have a very recent WGD after its divergence from other Cactaceae species.
To further study this small α peak of Hund in Fig. 2D, we have extracted 2,250 Hund genes with 4dTv < = 0.116 (the entire α peak) and performed Pfam (Supplementary Table S3) and GO (Supplementary Table S4) annotation on them. Interestingly, 632 (28%) of these 2250 genes are located within 10 genes from each other, indicating that these genes were derived from tandem duplications. The Pfam annotation showed that the most abundant protein families include plant transposases, protein kinases, plant disease resistance proteins (leucine-rich repeat), cytochrome P450, and 2OG-Fe(II) oxygenases (Supplementary Table S3). All these protein families might have been selected in Hund to have tandem gene duplications as a genomic adaptation to the hot and dry environments.
The last common ancestor of H. undatus and C. gigantea is estimated to appear 9.18 MYA
To examine the evolutionary relationship within the six cactus plants and between cactus plants and other plants, we have included ten additional plant genomes in our analyses. These include three C3 plants (Oryza sativa46, Arabidopsis thaliana47, and Cannabis sativa48), three C4 plants (Zea mays49, Sorghum bicolor50, and Setaria italica51), and four CAM (crassulacean acid metabolism) plants (Phalaenopsis equestris52, Ananas comosus53, Kalanchoe fedtschenkoi54, and Sedum album55). Using OrthoFinder56, 645,270 proteins of these 16 plant genomes were clustered into 31,276 orthologous gene clusters (OGCs) with each cluster containing more than two proteins. A phylogenetic tree was built using 130 single-copy genes to represent the species tree (Fig. 3). The topology of the grass family agrees with the previous analysis57, and the topology of the cactus family is also in line with the cactus phylogeny described in ref. 17, suggesting the high quality of this species tree.
With the species tree, r8s58 was employed to estimate the divergence time of different cactus plants. Three divergence times from the TimeTree database59 were used as references: (i) 50 MYA (million years ago) between O. sativa and S. bicolor, (ii) 106 MYA between C. sativa and A. thaliana, and (iii) 114 MYA between A. comosus and P. equestris. Shown in Fig. 3, the divergence times of cactus family species were estimated to be: (i) 5.36 MYA between C. gigantea and P. pringlei, (ii) 6.49 MYA between C. gigantea and L. schottii, (iii) 7.59 MYA beween C. gigantea and S. thurberi, (iv) 9.18 MYA between C. gigantea and H. undatus, and (v) 21.12 MYA between C. gigantea and P. humboldtii. As expected, the estimated time of P. humboldtii diverging from other cacti (21.12 MYA) was more recent than the estimations made for the cactus crown clade in ref. 17 (26.88 MYA) and in ref. 60 (30–30.5 MYA).
Functional enrichment analysis of orthologous gene clusters (OGCs) in cactus plants finds significantly enriched OGCs in drought resistance
Of these 31,276 OGCs, 30,678 contain proteins from more than two species. We have performed gene ontology (GO) enrichment analysis between OGCs of different groups of plants following the method in our previous paper61. The goal was to investigate, comparing to the shared OGCs (as control), what GO functional terms are significantly overrepresented in the cactus-specific OGCs. These enriched GO terms may highlight what biological functions are critical for cacti to adapt to their unique living environments. Briefly, the 30,678 OGCs were separated into three groups according to what species are present in the OGCs (Fig. 4A). A cactus-specific OGC was defined as a cluster containing proteins from at least two cactus species but not from any noncactus species. A shared OGC contained at least one cactus and one noncactus species. Then for each GO term, a binomial test P value was calculated to measure the statistical enrichment of this GO term in cactus-specific OGCs, by considering the count of cactus-specific OGCs and the count of shared OGCs assigned to this GO.
Comparing to noncactus plants, cactus plants can survive in arid environments with high light, hot temperature extremes, and little water. We anticipated that the GO enrichment analysis could reveal functions that can help explain these traits unique in cactus plants. Indeed, among the list of significantly enriched GO terms shown in Fig. 4B, 23 (63.8%) can be classified into five groups of functions that are related to cactus adapting to the dry and hot environments.
1. Group I (green) contains GO terms related to ion-channel functions. This is expected as they are highly related to osmotic stress and controlling movements of the stoma. For example, during the daytime, cactus plants (and all CAM species) close their stoma to reduce water transpiration.
2. Group II (red) is antioxidant defense-related. To survive in an arid environment, cactus plants must possess the drought response mechanism62, particularly the antioxidant defense system. The constant drought stress will lead to the accumulation of the oxidizing substance, such as O2, H2O2, O2-, and OH, which will damage the cells and even cause the death62. Hence, antioxidant defense system-related GO terms are enriched in cactus plant genomes.
3. Group III (purple) is related to biosynthetic metabolism, particularly amino acid biosynthesis. Evidence has been shown in model plant organisms that drought stress can induce alterations in almost all primary metabolisms63 including carbohydrates (e.g., glycosides), amino acids (e.g., branched-chain amino acids64), and lipids, as well as secondary metabolisms (e.g., glucosinolate65). Hence, these enriched GO terms can be associated with the drought resistance response of cactus plants as well.
4. Group IV (blue) contains GO:0003852 (2-isopropylmalate synthase activity) and GO:0010177 (2-(2’-methylthio) ethylmalate synthase activity), which are related to the CAM pathway. Therefore, these enriched functions should contribute to the CAM photosynthesis in cactus plants to conserve water and adapt to arid environments.
5. Group V (orange) is highly related to phosphoryl and methyl metabolism. O-methyltransferase is related to the biosynthesis of flavonoid, one of the most abundant classes of plant secondary metabolites66. All the other GO terms in this group are related to phosphorylation of proteins, carbohydrates, and lipids, which are critical responses to abiotic stresses including heat and drought67.
Similar enrichment analysis was also conducted on KEGG pathways (Supplementary Fig. S2). The enriched KEGG terms were classified into two groups: one contains pathways involved in environmental information processing and signal transduction, and the other contains pathways for the metabolism of various molecules (carbohydrates, proteins, lipids, glucosinolate, 2-oxocarboxylic acid, terpenoids, and polyketides). The first KEGG-term group corresponds to enriched GO group I and V, while the second group corresponds to enriched GO group II, III, and IV. Overall, the KEGG enrichment result is consistent with the GO enrichment result.
Fruit flavor-related GO terms are found to be enriched in OGCs significantly expanded in H. undatus
In addition to the GO enrichment analysis performed on cactus-specific OGCs, we have also taken advantage of the species tree reconstructed from the 130 single-copy OGCs to identify OGCs significantly expanded along with specific nodes in the tree (Fig. 5A and Supplementary Fig. S3). The significantly contracted and expanded OGCs on different nodes in the tree were determined by CAFE68. Particularly, we have focused on the 67 OGCs that are significantly expanded in only dragon fruit (Fig. 5A).
The 67 OGCs were used as the foreground for statistical analysis. For background, we have selected conserved OGCs that contain at least one species from each of the three major clades of the species tree: cactus clade (six species), other dicot clade (four species), and monocot clade (six species). Then, for each GO term in the foreground, the P value of the binomial test was calculated to measure the significance of the GO enrichment.
Most enriched GO terms in these 67 OGCs were related to metabolisms of saccharide, amino acid, and carboxylic acid (colored in red in Fig. 5B) (gene and GO list in Supplementary Table S5). Sugar and acid metabolism processes have been shown to be related to the fruit flavor69–72. Therefore, OGCs significantly expanded in H. undatus have likely contributed to the dragon fruit maturity and ripening or its unique nutrition and flavor. In addition, evidence has also been shown that soluble sugars73 and other primary metabolites63 confer tolerance to drought stress. Other enriched GO terms include metal ion response functions (green in Fig. 5B), nucleoside and ribonucleotide metabolic processes (blue in Fig. 5B), terpenoid metabolic processes (brown in Fig. 5B), which are all related to drought resistance and fruit flavor as well74,75.
Plant cell wall-related functions are enriched in differentially expressed genes (DEGs) in trypsin-treated dragon fruit during storage
Recent work has revealed that antioxidant functions were enriched in the differentially expressed genes (DEGs) between dragon fruit peels treated with and without trypsin30. The analysis was based on the de novo assembled transcripts without a reference genome. Hence, in this study, we mapped the RNA-seq reads to the dragon fruit draft genome for a more accurate reference-based DEG analysis. Briefly, the trypsin-treated (SRR8327215, H. undatus cultivar Viet 1 peel) and control (SRR8327214, H. undatus cultivar Viet 1 peel) clean reads were aligned to the H. undatus draft genome. After a reference-based transcript assembly, transcripts corresponding to 18,808 MAKER predicted genes (Supplementary Table S6) were analyzed by DESeq276 for DEGs. As the result, 1065 significantly upregulated genes (P.adjusted < 0.05, log2FoldChange > 1) and 1279 significantly downregulated genes (P.adjusted < 0.05, log2FoldChange < −1) were identified and subject to GO enrichment analysis with all the 18,808 expressed genes as the background.
As shown in Fig. 6A, the enriched GO terms in upregulated DEGs were classified into groups and colored differently. Group I (red) contained five terpenoid metabolic GO terms, which are antioxidants-related77,78 and consistent with the previous DEGs analysis based on de novo assembled transcripts30,79. Very interestingly, ten GO terms of group II (blue in Fig. 6A) contained various carbohydrate and plant cell wall-related processes, particularly those regulating functions. This was not found in ref. 30 but was expected as trypsin treatment may indirectly affect the cell wall integrity and carbohydrate metabolisms by directly acting on cell wall proteins. In addition, there were also other GO terms that respond to various biotic and abiotic stresses, such as regulation of phytoalexin metabolic process, ubiquinone metabolic process, phosphatase activity, and photosynthesis-related processes. The downregulated DEGs were also enriched with eight carbohydrate and plant cell wall-related processes (particularly those biosynthetic functions, blue in Fig. 6B), which is also the largest GO group. The other GO groups were related to ion transporting activities, which was found previously30. Overall, the genome reference-based DEG analysis revealed many more enriched GO terms than the previous DEG analysis based on de novo assembled transcripts.
Most betalain biosynthetic genes are co-localized in a single H. undatus chromosome
Betalains are red-violet (betacyanin) and yellow (betaxanthin) pigments uniquely found in the order Caryophyllales. The betacyanin synthesis pathway is illustrated in Fig. 7A, where the enzymes and their orthologs found in H. undatus genome are indicated. Betaxanthin is made from betalamic acid without enzymes by spontaneously connecting with amino acids, which is not shown in Fig. 7A. Two key enzyme families, L‐DOPA 4,5‐dioxygenase (DODA) and cytochrome P450 enzyme CYP76AD, in the betalain synthesis pathway, had been phylogenetically studied in Caryophyllales80. As a result, two DODA subfamilies (DODA-α and DODA-β) and three CYP76AD subfamilies (CYP76AD-α, CYP76AD-β, and CYP76AD-γ) were characterized. Only DODA-α, CYP76AD-α, and CYP76AD-β have been shown to be involved in the betalain synthesis pathway. Two glucosyltransferases (cyclo‐DOPA 5‐O‐glucosyltransferase [cDOPA5GT] and betanidin glucosyl‐transferase [5GT/6GT]) of glycosyltransferase family 1 (GT1), which are involved in structural modifications of betalains, were also more recently investigated81.
A homology search of the three enzyme families (DODA, CYP76AD, and GT1) followed by detailed phylogenetic analyses found that all of them have orthologs in the H. undatus genome (Fig. 7A and Supplementary Table S7). Specifically, Hund06497, Hund06498, and Hund26081 are the orthologs of CYP76AD-α, Hund06499 is the ortholog of CYP76AD-β, Hund27099, and Hund27100 are the orthologs of CYP76AD-γ (Supplementary Fig. S4). In the dragon fruit genome, CYP76AD genes seem to have many recently duplicated copies; these genes have a low Ks <0.3 (see above) and are located adjacently in the genome, suggesting a significant tandem duplication of CYP76AD in the dragon fruit genome. Similarly, for DODA enzymes, Hund07190 and Hund21767 are the orthologs of DODA-α; Hund21766 is the ortholog of DODA-β (Supplementary Fig. S5). Note that Hund21767 is located next to Hund21766 in the genome and shares 48.3% sequence identity. Lastly, Hund06336 is the ortholog of betanidin 5GT, Hund14114 and Hund14115 are the orthologs of betanidin 6GT, and Hund31521 and Hund31522 are the orthologs of cDOPA5GT (Supplementary Fig. S6).
Interestingly, Hund06336 (5GT), Hund06497 (CYP76AD-α), Hund06498 (CYP76AD-α), Hund06499 (CYP76AD-β), and Hund07190 (DODA-α) are all located in a ~12 Mb region of the Chr3 (Scaffold 33676) (total length 117.6 Mb) (Fig. 7B). Therefore, all the major genes in the betacyanin biosynthetic pathway except for cDOPA5GT are co-localized in one single chromosome of H. undatus. All these genes were also found in the closely related H. polyrhizus (Supplementary Table S7), which currently only have transcriptomes. As a comparison, in Beta vulgaris, these genes are located on three different chromosomes (Fig. 7B), although two key genes of them (CYP76AD-α and DODA-α) have been known to be adjacent to each other in one gene cluster in B. vulgaris and representative genomes of Amaranthaceae family82. We also attempted to locate these genes in the C. gigantea genome. However, as it is very fragmented compared to H. undatus and B. vulgaris, all these C. gigantea genes are found on different short contigs and thus it is not possible to determine if they are also clustered in C. gigantea genome.
A recent study has generated RNA-seq data in H. polyrhizus aiming to identify differentially expressed genes in different stages of dragon fruit pulp development (white pulp vs. red pulp)27. We have mapped ~12 Gb reads of this dataset to our H. undatus genome and found that 93% of the reads were mapped. Interestingly, 9 out of the 11 betacyanin biosynthetic genes in Fig. 7A have expression changes, among them, four have significantly increased expression changes (P value < 0.05 and log2 (fold change) > 1) from white pulp to red pulp development. Particularly, Hund06497 (CYP76AD-α) is the third most upregulated gene with a log2(fold change) = 10.2 among all Hund genes, followed by Hund07190 (DODA-α) with a log2 (fold change) = 2.6 (Fig. 7B and Supplementary Table S8).
Interestingly, crassulacean acid metabolism (CAM) genes are also differentially expressed in dragon fruit development. The CAM pathway genes were identified by using a list of query proteins (11 families) from Kalanchoe fedtschenkoi54 for a BlastP search in H. undatus followed by detailed phylogenetic analyses. As expected, all the main enzymes in the CAM pathway were found in H. undatus. Interestingly, among 38 H. undatus genes of the 11 enzyme families (Supplementary Table S9), 34 genes are differentially expressed (P value < 0.05) from white pulp to red pulp in dragon fruit development27. Ten of these genes are significantly upregulated (log2 (fold change) >1) and nine are significantly downregulated (log2 (fold change) < −1). The increased gene expression is especially evident for enzymes active in daytime. What this implicates will need further in-depth studies in the future.
Discussion
Dragon fruits contain many species of the genus Hylocereus and are increasingly important for food and agricultural industries. In this study, we have sequenced the H. undatus draft genome, the first genome of the Hylocereus genus. This genome is also the sixth sequenced genome of the Cactaceae family. Compared to the previously published five Cactaceae genomes (S. thurberi (Sthu), L. schottii (Lsch), C. gigantea (Cgig), P. pringlei (Ppri), and P. humboldtii (Phum)), the H. undatus genome has the longest scaffold N50 (109 M vs 61.5 k of C. gigantea, the best assembled in ref. 17, i.e., >1700 times longer) and the largest genome completeness (92.4% vs. 75.3% of C. gigantea).
The chromosome-level assembly of H. undatus genome is achieved by using the Dovetail Genomics HiRise™ scaffolding software with long-range Chicago libraries and Hi-C libraries sequencing. This pipeline has been widely used by a number of large plant and animal genome-sequencing projects83–86. Evaluation of its performance by resequencing reference genomes of model organisms such as humans has demonstrated that it is an accurate and inexpensive approach to building long-range sequence scaffolds at the chromosome-level even86–88. The density report in the Hi-C scaffolding run on our H. undatus genome shows that the Hi-C data is in agreement with the placement and orientation of the input scaffolds in the final chromosome-level assembly (Supplementary Fig. S7). In addition, the inter-genome synteny alignments of H. undatus against four other chromosome-level genomes of Caryophyllales (Fig. 2F and Supplementary Fig. S8) also suggest that our H. undatus genome assembly is in a high quality.
With this high-quality draft genome, comparative analysis against other cacti genomes revealed a number of interesting findings as described in “Results”. These findings have led to new understandings ranging from whole-genome duplication, species divergence time, to significantly enriched GO functions in Cactaceae and in H. undatus, as well as betacyanin biosynthetic genes co-localized in a 12 Mb region of one single chromosome.
Particularly, the highly continuous chromosome-level assembly of H. undatus genome has allowed us to detect and confidently verify the WGD in H. undatus. This WGD event (Fig. 2) happened most likely in the last common ancestor of all cactus plants (β node in Fig. 2A). This is because the 4dTv β peak is clearly shared by all the six studied cacti. In addition, it is obvious that S. thurberi and L. schottii have had an extra recent WGT event (α peak in Fig. 2D). This observation is also consistent with the peculiarly higher numbers of protein-coding genes predicted from S. thurberi and L. schottii draft genomes (Table 1).
Similarly, it is the chromosome-level H. undatus genome that made it possible to locate the betacyanin pathway genes within a 12-Mb genomic region of the Chr3 (Fig. 7B). In contrast, although orthologous genes were also identified in C. gigantea and H. polyrhizus, it is unknown if these genes are also co-localized in other cactus genomes. The future improvement of these fragmented draft genome to a chromosome-level assembly will help to answer this question. It is interesting to note that although CYP76AD-α and DODA-α genes are adjacent in Chr2 of the well-assembled B. vulgaris genome, other core genes in the pathway are located on two other chromosomes (Chr6 and Chr9) (Fig. 7B). The chromosome-level co-localization of betacyanin biosynthetic genes in H. undatus may implicate a more efficient biosynthesis of betacyanin. The experimental verification of this hypothesis in the future is very necessary, given that betacyanin is one type of highly active and abundant antioxidants found in many cactus plants.
Lastly, it is widely accepted that reference-based RNA-seq assembly and expression quantification are preferred whenever a reference genome is available89. This is because de novo transcript assembly tends to have various issues (e.g., more fragmented and redundant contigs, missing low-abundance transcripts, mis-assembled transcripts), which may lead to inaccurate or incomplete results in downstream differential expression analysis. Indeed, by using the available H. undatus draft genome as the reference, we have identified antioxidant-related GO terms enriched in differentially expressed genes (DEGs) in trypsin-treated dragon fruits, which confirmed the results in refs. 30,79. Furthermore, we were also able to identify carbohydrate and plant cell wall-related biological processes to be also highly enriched in DEGs.
In summary, the H. undatus draft genome will be a significant contribution to the dragon fruit research community. With a chromosome-level assembly and high genome completeness, it will also be a great reference for the study of various cactus plants. As dragon fruits are increasingly consumed as an important tropical fruit, various dragon fruit cultivars have been developed all over the world. This H. undatus draft genome will be a great resource to develop genomic tools such as SNPs and other molecular markers for genetic characterization of various dragon fruit cultivars.
Materials and methods
The detailed methods can be found in the Supplementary Method file. Here, we only briefly describe the materials and methods used in this study.
Plant material, 10X library prep, and sequencing
Stem (cladode) samples of H. undatus cultivar “David Bowie” (Fig. 1A) were collected from the USDA-ARS Tropical Agriculture Research Station in Mayaquez, Puerto Rico. Whole-genome sequencing libraries were prepared using Chromium Genome Library & Gel Bead Kit v.2 (10X Genomics, cat. no. 120258) and sequenced on a NovaSeq6000 sequencer (Illumina, San Diego, CA) with paired-end 150 bp reads.
Chicago library preparation and sequencing
Two Chicago libraries were prepared as described previously88. The libraries were sequenced on an Illumina HiSeq X. The number and length of read pairs produced for each library were: 145 million, 2 × 150 bp for library 1; 181 million, 2 × 150 bp for library 2. Together, these Chicago library reads provided 235.75× physical coverage of the genome (1–100 kb pairs).
Dovetail Hi-C library preparation and sequencing
Two Dovetail Hi-C libraries were prepared in a similar manner as described previously88. The libraries were sequenced on an Illumina HiSeq X. The number and length of read pairs produced for each library were: 204 million, 2 × 150 bp for library 1; 177 million, 2 × 150 bp for library 2. Together, these Dovetail Hi-C library reads provided 6,171.67× physical coverage of the genome (10–10,000 kb pairs).
Scaffolding the assembly with HiRise
The input de novo assembly, shotgun reads, Chicago library reads, and Dovetail Hi-C library reads were used as input data for HiRise, a software pipeline designed specifically for using proximity ligation data to scaffold genome assemblies90. An iterative analysis was conducted.
Repeat and noncoding RNA annotation
RepeatModeler91 and RepeatMasker92 were employed to annotate repetitive elements in the draft dragon fruit genome and other cactus genomes. tRNA-scan293 was used to identify tRNA genes. Infernal package94 and Rfam95 were employed to identify noncoding RNA genes.
Protein-coding gene prediction
MAKER38 was employed to predict protein-coding genes by combining ab initio and homology-based approaches. Three rounds of MAKER runs considered transcriptome and protein evidence as well as ab initio gene prediction. The result of the third round of MAKER run was used as the final protein-coding gene model. In addition to H. undatus, MAKER gene predictions were also performed on four of the five cactus draft genomes sequenced by17 except for C. gigantea following the same procedure as described above for H. undatus. The redundant proteins from MAKER predictions were removed using seqkit96, so were proteins < 50 aa.
Orthologous gene clusters and phylogenetic analyses
Proteins of a total of 16 sequenced plant genomes were selected to define orthologous gene clusters (OGCs) and for phylogenetic analyses. These genomes include three C3 plants, three C4 plants, and ten CAM plants. Six of the ten CAM plants are cacti, and their proteins were obtained by the processes described above. Some genomes have proteins from alternative splicing, and such genomes were processed to only keep the longest isoform protein of each gene.
Proteins of the 16 genomes were combined as input to OrthoFinder56. All of the single-copy orthologs were aligned with MUSCLE97. The alignments of single-copy OGCs were concatenated into one super alignment, which was further processed by Gblocks98. A phylogenetic tree was built using RAxML99 to represent the species tree with 100 times of bootstrap and the evolutionary model -m PROTGAMMAJTT. The divergence time of the 16 plants was estimated by r8s58 with three calibrations. The input tree to r8s was the tree built by RAxML. All the OGCs generated by OrthoFinder were analyzed by CAFE68 to identify significantly expanded and contracted OGCs in different nodes of the species tree.
GO and KEGG enrichment analysis
OGCs generated by OrthoFinder were classified into different groups according to what plant species that a CGC contains proteins from. For GO and KEGG annotation, all the proteins within a CGC were BlastP searched against the eggNOG database39. The eggNOG hit contains GO term and KEGG term, which were transferred to the query protein. For each CGC, duplicated GO terms or KEGG terms were only counted once for the enrichment analysis. See “Results” for how we have defined foreground and background datasets depending on what questions we wanted to address. The same approach had been used in our previous papers61,100.
Whole-genome duplication analysis
To examine the WGD in cactus species, wgd101 and MCScanX102 were used (unless stated otherwise) to analyze the synteny and calculate the synonymous substitution rate (Ks) and the rate of transversions on fourfold degenerate synonymous sites (4dTv).
RNA-seq data analysis
For the expression analysis of trypsin-treated dragon fruit during storage, the control (SRR8327214) and trypsin-treated (SRR8327215) raw reads were downloaded from the NCBI SRA database. For the expression analysis of betacyanin biosynthetic genes and CAM genes, the white pulp (SRR2924904) and red pulp (SRR3203780) raw reads were downloaded from the NCBI SRA database. The reference genome-based differential expression analysis used HISAT2103 and StringTie pipeline following104. DEseq276 was used to calculate the log2 fold change and the adjusted P value of each gene between control and treatment.
Phylogenetic trees of CODA, CYP76AD, cDOPA5GT, and betanidin 5GT/6GT
For CYP76AD, three CYP76AD-α proteins (GenBank accession: HQ656026, HQ656025, and HQ656024) from105 combined with the other 151 CYP76AD proteins (KR376350–KR376501) from ref. 80 were used as queries to collect homologs from cactus plants.
DODA-α proteins of Beta vulgaris (GenBank accession: HQ656027), Portulaca grandiflora (AJ580598), and Mirabilis jalapa (AB435372) combined with the DODA protein sequences (GenBank accession: KR376141–KR376346) previously studied in ref. 80 were used as queries to collect homologs from cactus plants.
cDOPA5GT and betanidin 5GT/6GT proteins were collected from ref. 106 and ref. 107, and used as query to collect homologs from cactus plants.
Homologs were filtered with domain e-value < 10−6 and coverage > = 0.3 (alignment length/HMM length). Filtered full-length protein sequences were aligned by MAFFT108, and then the phylogenies were built by FastTree109 and visualized with iTOL server110.
Supplementary information
Acknowledgements
We would like to acknowledge all of our lab members for helpful discussions. We thank Dr. Baolong Liu of Northwest Institute of Plateau Biology of China for providing the assembled UniGene sequences for red- and white-fleshed dragon fruits of their published paper. This work was partially completed utilizing the Holland Computing Center of the University of Nebraska, which receives support from the Nebraska Research Initiative. This work was primarily supported by the United States Department of Agriculture (USDA)/Agricultural Research Service (ARS) award [58-8042-9-089], and partially by National Science Foundation (NSF) CAREER award [DBI-1933521], start-up grant of UNL [2019-YIN] to Y.Y. Mention of trade names or commercial products in this publication is solely for the purpose of providing specific information and does not imply recommendation or endorsement by the U.S. Department of Agriculture. USDA is an equal opportunity provider and employer.
Author contributions
Y.Y., D.Z., L.W.M., and R.G. conceived and designed the project. D.Z., L.W.M., and R.G. collected the plant materials and generated the sequencing data. J.Z. performed all the data analysis under the supervision of Y.Y. J.Z. and Y.Y. draft the paper. All authors contributed and approved the final paper.
Data availability
The raw DNA sequencing reads and the assembled genome of Hylocereus undatus cultivar “David Bowie” have been submitted to NCBI. The BioProject ID is PRJNA664414, and the BioSample ID is SAMN16213845. The Whole Genome Shotgun accession number is JACYFF000000000.
Conflict of interest
The authors declare no competing interests.
Contributor Information
Dapeng Zhang, Email: dapeng.zhang@usda.gov.
Yanbin Yin, Email: yyin@unl.edu.
Supplementary information
The online version contains supplementary material available at 10.1038/s41438-021-00501-6.
References
- 1.Bauer, R. A Synopsis of the Tribe Hylocereeae F. Buxb (Hunt, 2003).
- 2.Nerd, A., Tel-Zur, N. & Mizrahi, Y. in Cacti: Biology and Uses (ed. Nobel, P. S.) 185–197 (University of California Press, 2002).
- 3.Medina EDH. Benzing vascular epiphytes, general biology and related biota Cambridge University Press, Cambridge (1990) J. Tropical Ecol. 1992;8:55–56. doi: 10.1017/S0266467400006088. [DOI] [Google Scholar]
- 4.Hoa T, Clark C, Waddell B, Woolf A. Postharvest quality of Dragon fruit (Hylocereus undatus) following disinfesting hot air treatments. Postharvest Biol. Technol. 2006;41:62–69. doi: 10.1016/j.postharvbio.2006.02.010. [DOI] [Google Scholar]
- 5.Andrew, P. Invasive Species Compendium (CAB International, 2020).
- 6.Le Bellec F, Vaillant F, Imbert E. Pitahaya (Hylocereus spp.): a new fruit crop, a market with a future. Fruits. 2006;61:237–250. doi: 10.1051/fruits:2006021. [DOI] [Google Scholar]
- 7.Rachel Nall, M. C. What are the proven benefits of dragon fruit? https://www.medicalnewstoday.com/articles/324655 (2019).
- 8.Paull, R. E. & Chen, N. J. Overall dragon fruit production and global marketing. FFTC, http://ap.fftc.agnet.org/ap_db.php (2019).
- 9.Arakaki M, et al. Contemporaneous and recent radiations of the world’s major succulent plant lineages. Proc. Natl Acad. Sci. USA. 2011;108:8379–8384. doi: 10.1073/pnas.1100628108. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Magallón S, Gómez‐Acevedo S, Sánchez‐Reyes LL, Hernández‐Hernández T. A metacalibrated time‐tree documents the early rise of flowering plant phylogenetic diversity. N. Phytologist. 2015;207:437–453. doi: 10.1111/nph.13264. [DOI] [PubMed] [Google Scholar]
- 11.Kohler M, Reginato M, Souza-Chies TT, Majure LC. Insights into chloroplast genome evolution across Opuntioideae (Cactaceae) reveals robust yet sometimes conflicting phylogenetic topologies. Front Plant Sci. 2020;11:729. doi: 10.3389/fpls.2020.00729. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Wang N, et al. Evolution of Portulacaceae marked by gene tree conflict and gene family expansion associated with adaptation to harsh environments. Mol. Biol. Evol. 2019;36:112–126. doi: 10.1093/molbev/msy200. [DOI] [PubMed] [Google Scholar]
- 13.Gibson, A. C. & Nobel, P. S. The Cactus Primer (Harvard University Press, 1986).
- 14.Hernández‐Hernández T, Brown JW, Schlumpberger BO, Eguiarte LE, Magallón S. Beyond aridification: multiple explanations for the elevated diversification of cacti in the New World Succulent Biome. N. Phytologist. 2014;202:1382–1397. doi: 10.1111/nph.12752. [DOI] [PubMed] [Google Scholar]
- 15.Anderson, E. F. The Cactus Family (Timber Press, 2001).
- 16.Demaio PH, Barfuss MH, Kiesling R, Till W, Chiapella JO. Molecular phylogeny of Gymnocalycium (Cactaceae): assessment of alternative infrageneric systems, a new subgenus, and trends in the evolution of the genus. Am. J. Bot. 2011;98:1841–1854. doi: 10.3732/ajb.1100054. [DOI] [PubMed] [Google Scholar]
- 17.Copetti D, et al. Extensive gene tree discordance and hemiplasy shaped the genomes of North American columnar cacti. Proc. Natl Acad. Sci. USA. 2017;114:12003–12008. doi: 10.1073/pnas.1706367114. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Wichienchot S, Jatupornpipat M, Rastall RA. Oligosaccharides of pitaya (dragon fruit) flesh and their prebiotic properties. Food Chem. 2010;120:850–857. doi: 10.1016/j.foodchem.2009.11.026. [DOI] [Google Scholar]
- 19.Rebecca OPS, Boyce AN, Chandran S. Pigment identification and antioxidant properties of red dragon fruit (Hylocereus polyrhizus) Afr. J. Biotechnol. 2010;9:1450–1454. doi: 10.5897/AJB09.1603. [DOI] [Google Scholar]
- 20.Nurliyana R d, Syed Zahir I, Mustapha Suleiman K, Aisyah M, Kamarul Rahim K. Antioxidant study of pulps and peels of dragon fruits: a comparative study. Int. Food Res. J. 2010;17:367–375. [Google Scholar]
- 21.Suh DH, et al. Metabolite profiling of red and white pitayas (Hylocereus polyrhizus and Hylocereus undatus) for comparing betalain biosynthesis and antioxidant activity. J. Agric. Food Chem. 2014;62:8764–8771. doi: 10.1021/jf5020704. [DOI] [PubMed] [Google Scholar]
- 22.Nurmahani M, Osman A, Hamid AA, Ghazali FM, Dek MP. Antibacterial property of Hylocereus polyrhizus and Hylocereus undatus peel extracts. Int. Food Res. J. 2012;19:77. [Google Scholar]
- 23.Zhou J, et al. Proteogenomic analysis of pitaya reveals cold stress-related molecular signature. PeerJ. 2020;8:e8540. doi: 10.7717/peerj.8540. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Nong Q, et al. RNA-Seq de novo assembly of red pitaya (Hylocereus polyrhizus) roots and differential transcriptome analysis in response to salt stress. Tropical Plant Biol. 2019;12:55–66. doi: 10.1007/s12042-019-09217-3. [DOI] [Google Scholar]
- 25.Fan QJ, Yan FX, Qiao G, Zhang BX, Wen XP. Identification of differentially-expressed genes potentially implicated in drought response in pitaya (Hylocereus undatus) by suppression subtractive hybridization and cDNA microarray analysis. Gene. 2014;533:322–331. doi: 10.1016/j.gene.2013.08.098. [DOI] [PubMed] [Google Scholar]
- 26.Xi, X. et al. Transcriptome analysis clarified genes involved in betalain biosynthesis in the fruit of red pitayas (Hylocereus costaricensis). Molecules24, 10.3390/molecules24030445 (2019). [DOI] [PMC free article] [PubMed]
- 27.Qingzhu H, et al. Transcriptomic analysis reveals key genes related to betalain biosynthesis in pulp coloration of Hylocereus polyrhizus. Front Plant Sci. 2015;6:1179. doi: 10.3389/fpls.2015.01179. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Xu M, et al. Transcriptomic de novo analysis of pitaya (Hylocereus polyrhizus) canker disease caused by Neoscytalidium dimidiatum. BMC Genomics. 2019;20:10. doi: 10.1186/s12864-018-5343-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Xiong R, et al. Transcriptomic analysis of flower induction for long-day pitaya by supplementary lighting in short-day winter season. BMC Genomics. 2020;21:329. doi: 10.1186/s12864-020-6726-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Li X, et al. Transcriptomic analysis reveals key genes related to antioxidant mechanisms of Hylocereus undatus quality improvement by trypsin during storage. Food Funct. 2019;10:8116–8128. doi: 10.1039/C9FO00809H. [DOI] [PubMed] [Google Scholar]
- 31.Pinkava DJ, McLeod MG. Chromosome numbers in some cacti of western North America. Brittonia. 1971;23:171–176. doi: 10.2307/2805433. [DOI] [Google Scholar]
- 32.Lichtenzveig, J., Abbo, S., Nerd, A., Tel-Zur, N. & Mizrahi, Y. Cytology and mating systems in the climbing cacti Hylocereus and Selenicereus. Am. J. Bot. 87, 1058–1065, https://www.ncbi.nlm.nih.gov/pubmed/10898783 (2000). [PubMed]
- 33.Tel-Zur N, et al. Phenotypic and genomic characterization of vine cactus collection (Cactaceae) Genet. Resour. Crop Evolution. 2011;58:1075–1085. doi: 10.1007/s10722-010-9643-8. [DOI] [Google Scholar]
- 34.Cisneros A, Tel-Zur N. Genomic analysis in three Hylocereus species and their progeny: evidence for introgressive hybridization and gene flow. Euphytica. 2013;194:109–124. doi: 10.1007/s10681-013-0979-y. [DOI] [Google Scholar]
- 35.Bennett MD, Leitch IJ, Price HJ, Johnston JS. Comparisons with Caenorhabditis (approximately 100 Mb) and Drosophila (approximately 175 Mb) using flow cytometry show genome size in Arabidopsis to be approximately 157 Mb and thus approximately 25% larger than the Arabidopsis genome initiative estimate of approximately 125 Mb. Ann. Bot. 2003;91:547–557. doi: 10.1093/aob/mcg057. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Simao FA, Waterhouse RM, Ioannidis P, Kriventseva EV, Zdobnov EM. BUSCO: assessing genome assembly and annotation completeness with single-copy orthologs. Bioinformatics. 2015;31:3210–3212. doi: 10.1093/bioinformatics/btv351. [DOI] [PubMed] [Google Scholar]
- 37.Wu, Y. et al. Comparative transcriptome analysis combining SMRT- and Illumina-based RNA-Seq identifies potential candidate genes involved in betalain biosynthesis in pitaya fruit. Int. J. Mol. Sci. 21, 10.3390/ijms21093288 (2020). [DOI] [PMC free article] [PubMed]
- 38.Cantarel BL, et al. MAKER: an easy-to-use annotation pipeline designed for emerging model organism genomes. Genome Res. 2008;18:188–196. doi: 10.1101/gr.6743907. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Huerta-Cepas J, et al. eggNOG 5.0: a hierarchical, functionally and phylogenetically annotated orthology resource based on 5090 organisms and 2502 viruses. Nucleic Acids Res. 2019;47:D309–D314. doi: 10.1093/nar/gky1085. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Dohm JC, et al. The genome of the recently domesticated crop plant sugar beet (Beta vulgaris) Nature. 2014;505:546–549. doi: 10.1038/nature12817. [DOI] [PubMed] [Google Scholar]
- 41.Xu C, et al. Draft genome of spinach and transcriptome diversity of 120 Spinacia accessions. Nat. Commun. 2017;8:15275. doi: 10.1038/ncomms15275. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Palfalvi G, et al. Genomes of the Venus flytrap and close relatives unveil the roots of plant carnivory. Curr. Biol. 2020;30:2312–2320.e5. doi: 10.1016/j.cub.2020.04.051. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Sturtevant D, et al. The genome of jojoba (Simmondsia chinensis): a taxonomically isolated species that directs wax ester accumulation in its seeds. Sci. Adv. 2020;6:eaay3240. doi: 10.1126/sciadv.aay3240. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Zhang L, et al. The Tartary buckwheat genome provides insights into rutin biosynthesis and abiotic stress tolerance. Mol. Plant. 2017;10:1224–1237. doi: 10.1016/j.molp.2017.08.013. [DOI] [PubMed] [Google Scholar]
- 45.Wang Y, et al. The sacred lotus genome provides insights into the evolution of flowering plants. Plant J. 2013;76:557–567. doi: 10.1111/tpj.12313. [DOI] [PubMed] [Google Scholar]
- 46.Yu J, et al. A draft sequence of the rice genome (Oryza sativa L. ssp. indica) Science. 2002;296:79–92. doi: 10.1126/science.1068037. [DOI] [PubMed] [Google Scholar]
- 47.Arabidopsis Genome, I. Analysis of the genome sequence of the flowering plant Arabidopsis thaliana. Nature. 2000;408:796–815. doi: 10.1038/35048692. [DOI] [PubMed] [Google Scholar]
- 48.Gao S, et al. A high-quality reference genome of wild Cannabis sativa. Hortic. Res. 2020;7:73. doi: 10.1038/s41438-020-0295-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Jiao Y, et al. Improved maize reference genome with single-molecule technologies. Nature. 2017;546:524–527. doi: 10.1038/nature22971. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Paterson AH, et al. The Sorghum bicolor genome and the diversification of grasses. Nature. 2009;457:551–556. doi: 10.1038/nature07723. [DOI] [PubMed] [Google Scholar]
- 51.Bennetzen JL, et al. Reference genome sequence of the model plant Setaria. Nat. Biotechnol. 2012;30:555–561. doi: 10.1038/nbt.2196. [DOI] [PubMed] [Google Scholar]
- 52.Cai J, et al. The genome sequence of the orchid Phalaenopsis equestris. Nat. Genet. 2015;47:65–72. doi: 10.1038/ng.3149. [DOI] [PubMed] [Google Scholar]
- 53.Ming R, et al. The pineapple genome and the evolution of CAM photosynthesis. Nat. Genet. 2015;47:1435–1442. doi: 10.1038/ng.3435. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Yang X, et al. The Kalanchoe genome provides insights into convergent evolution and building blocks of crassulacean acid metabolism. Nat. Commun. 2017;8:1899. doi: 10.1038/s41467-017-01491-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Wai CM, et al. Time of day and network reprogramming during drought induced CAM photosynthesis in Sedum album. PLoS Genet. 2019;15:e1008209. doi: 10.1371/journal.pgen.1008209. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Emms DM, Kelly S. OrthoFinder: phylogenetic orthology inference for comparative genomics. Genome Biol. 2019;20:238. doi: 10.1186/s13059-019-1832-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Gaut BS. Evolutionary dynamics of grass genomes. New Phytologist. 2002;154:15–28. doi: 10.1046/j.1469-8137.2002.00352.x. [DOI] [Google Scholar]
- 58.Sanderson MJ. r8s: inferring absolute rates of molecular evolution and divergence times in the absence of a molecular clock. Bioinformatics. 2003;19:301–302. doi: 10.1093/bioinformatics/19.2.301. [DOI] [PubMed] [Google Scholar]
- 59.Kumar S, Stecher G, Suleski M, Hedges SB. TimeTree: a resource for timelines, timetrees, and divergence times. Mol. Biol. Evol. 2017;34:1812–1819. doi: 10.1093/molbev/msx116. [DOI] [PubMed] [Google Scholar]
- 60.Guerrero PC, Majure LC, Cornejo-Romero A, Hernandez-Hernandez T. Phylogenetic relationships and evolutionary trends in the cactus family. J. Hered. 2019;110:4–21. doi: 10.1093/jhered/esy064. [DOI] [PubMed] [Google Scholar]
- 61.Fitzek E, et al. Cell wall enzymes in Zygnema circumcarinatum UTEX 1559 respond to osmotic stress in a plant-like fashion. Front. Plant Sci. 2019;10:732. doi: 10.3389/fpls.2019.00732. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Fang Y, Xiong L. General mechanisms of drought response and their application in drought resistance improvement in plants. Cell Mol. Life Sci. 2015;72:673–689. doi: 10.1007/s00018-014-1767-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Yang, L. et al. Deciphering drought-induced metabolic responses and regulation in developing maize kernels. Plant Biotechnol. J.10.1111/pbi.12899 (2018). [DOI] [PMC free article] [PubMed]
- 64.Huang T, Jander G. Abscisic acid-regulated protein degradation causes osmotic stress-induced accumulation of branched-chain amino acids in Arabidopsis thaliana. Planta. 2017;246:737–747. doi: 10.1007/s00425-017-2727-3. [DOI] [PubMed] [Google Scholar]
- 65.Del Carmen Martinez-Ballesta M, Moreno DA, Carvajal M. The physiological importance of glucosinolates on plant response to abiotic stress in Brassica. Int. J. Mol. Sci. 2013;14:11607–11625. doi: 10.3390/ijms140611607. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Winkel-Shirley B. Flavonoid biosynthesis. A colorful model for genetics, biochemistry, cell biology, and biotechnology. Plant Physiol. 2001;126:485–493. doi: 10.1104/pp.126.2.485. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Cramer GR, Urano K, Delrot S, Pezzotti M, Shinozaki K. Effects of abiotic stress on plants: a systems biology perspective. BMC Plant Biol. 2011;11:163. doi: 10.1186/1471-2229-11-163. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.De Bie T, Cristianini N, Demuth JP, Hahn MW. CAFE: a computational tool for the study of gene family evolution. Bioinformatics. 2006;22:1269–1271. doi: 10.1093/bioinformatics/btl097. [DOI] [PubMed] [Google Scholar]
- 69.Dong X, et al. De novo assembly of a wild pear (Pyrus betuleafolia) genome. Plant Biotechnol. J. 2020;18:581–595. doi: 10.1111/pbi.13226. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Sadka, A., Shlizerman, L., Kamara, I. & Blumwald, E. Primary metabolism in citrus fruit as affected by its unique structure. Front. Plant Sci.10, 10.3389/fpls.2019.01167 (2019). [DOI] [PMC free article] [PubMed]
- 71.Desnoues E, et al. Profiling sugar metabolism during fruit development in a peach progeny with different fructose-to-glucose ratios. BMC Plant Biol. 2014;14:336. doi: 10.1186/s12870-014-0336-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Li M, Li P, Ma F, Dandekar AM, Cheng L. Sugar metabolism and accumulation in the fruit of transgenic apple trees with decreased sorbitol synthesis. Hortic. Res. 2018;5:60. doi: 10.1038/s41438-018-0064-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Redillas MCFR, et al. Accumulation of trehalose increases soluble sugar contents in rice plants conferring tolerance to drought and salt stress. Plant Biotechnol. Rep. 2012;6:89–96. doi: 10.1007/s11816-011-0210-3. [DOI] [Google Scholar]
- 74.Oikawa A, et al. Metabolic profiling of developing pear fruits reveals dynamic variation in primary and secondary metabolites, including plant hormones. PLoS ONE. 2015;10:e0131408. doi: 10.1371/journal.pone.0131408. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Aharoni A, et al. Gain and loss of fruit flavor compounds produced by wild and cultivated strawberry species. Plant Cell. 2004;16:3110–3131. doi: 10.1105/tpc.104.023895. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Love MI, Huber W, Anders S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 2014;15:550. doi: 10.1186/s13059-014-0550-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Pichersky E, Raguso RA. Why do plants produce so many terpenoid compounds? N. Phytol. 2018;220:692–702. doi: 10.1111/nph.14178. [DOI] [PubMed] [Google Scholar]
- 78.Zhang X, et al. Identification and functional characterization of three new terpene synthase genes involved in chemical defense and abiotic stresses in Santalum album. BMC Plant Biol. 2019;19:115. doi: 10.1186/s12870-019-1720-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Pang, X. et al. Transcriptomic analysis reveals Cu/Zn SODs acting as hub genes of SODs in Hylocereus undatus induced by trypsin during storage. Antioxidants9, 10.3390/antiox9020162 (2020). [DOI] [PMC free article] [PubMed]
- 80.Brockington SF, et al. Lineage-specific gene radiations underlie the evolution of novel betalain pigmentation in Caryophyllales. N. Phytol. 2015;207:1170–1180. doi: 10.1111/nph.13441. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Timoneda A, et al. The evolution of betalain biosynthesis in Caryophyllales. N. Phytol. 2019;224:71–85. doi: 10.1111/nph.15980. [DOI] [PubMed] [Google Scholar]
- 82.Sheehan H, et al. Evolution of l-DOPA 4,5-dioxygenase activity allows for recurrent specialisation to betalain pigmentation in Caryophyllales. N. Phytol. 2020;227:914–929. doi: 10.1111/nph.16089. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83.Warren, W. C. et al. Sequence diversity analyses of an improved rhesus macaque genome enhance its biomedical utility. Science370, 10.1126/science.abc6617 (2020). [DOI] [PMC free article] [PubMed]
- 84.Ghosh A, et al. A high-quality reference genome assembly of the saltwater crocodile, Crocodylus porosus, reveals patterns of selection in Crocodylidae. Genome Biol. Evol. 2020;12:3635–3646. doi: 10.1093/gbe/evz269. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85.Jarvis DE, et al. The genome of Chenopodium quinoa. Nature. 2017;542:307–312. doi: 10.1038/nature21370. [DOI] [PubMed] [Google Scholar]
- 86.Dudchenko O, et al. De novo assembly of the Aedes aegypti genome using Hi-C yields chromosome-length scaffolds. Science. 2017;356:92–95. doi: 10.1126/science.aal3327. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87.Kadota, M. et al. Multifaceted Hi-C benchmarking: what makes a difference in chromosome-scale genome scaffolding? Gigascience9, 10.1093/gigascience/giz158 (2020). [DOI] [PMC free article] [PubMed]
- 88.Putnam NH, et al. Chromosome-scale shotgun assembly using an in vitro method for long-range linkage. Genome Res. 2016;26:342–350. doi: 10.1101/gr.193474.115. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 89.Conesa A, et al. A survey of best practices for RNA-seq data analysis. Genome Biol. 2016;17:13. doi: 10.1186/s13059-016-0881-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90.Lieberman-Aiden E, et al. Comprehensive mapping of long-range interactions reveals folding principles of the human genome. Science. 2009;326:289–293. doi: 10.1126/science.1181369. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91.Smit, A. F. A., Hubley, R. & Green, P. RepeatMasker Open-4.0. 2013–2015.
- 92.Smit, A., Hubley, R. & Green, P. J. D. D. RepeatMasker Open-4.0. http://www.repeatmasker.org (2018).
- 93.Chan PP, Lowe TM. tRNAscan-SE: searching for tRNA genes in genomic sequences. Methods Mol. Biol. 2019;1962:1–14. doi: 10.1007/978-1-4939-9173-0_1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94.Nawrocki EP, Eddy SR. Infernal 1.1: 100-fold faster RNA homology searches. Bioinformatics. 2013;29:2933–2935. doi: 10.1093/bioinformatics/btt509. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 95.Kalvari I, et al. Rfam 13.0: shifting to a genome-centric resource for non-coding RNA families. Nucleic Acids Res. 2018;46:D335–D342. doi: 10.1093/nar/gkx1038. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 96.Shen W, Le S, Li Y, Hu F. SeqKit: a cross-platform and ultrafast toolkit for FASTA/Q file manipulation. PLoS ONE. 2016;11:e0163962. doi: 10.1371/journal.pone.0163962. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97.Edgar RC. MUSCLE: multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res. 2004;32:1792–1797. doi: 10.1093/nar/gkh340. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 98.Castresana J. Selection of conserved blocks from multiple alignments for their use in phylogenetic analysis. Mol. Biol. Evol. 2000;17:540–552. doi: 10.1093/oxfordjournals.molbev.a026334. [DOI] [PubMed] [Google Scholar]
- 99.Stamatakis A. RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies. Bioinformatics. 2014;30:1312–1313. doi: 10.1093/bioinformatics/btu033. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 100.Orton LM, et al. Zygnema circumcarinatum UTEX 1559 chloroplast and mitochondrial genomes provide insight into land plant evolution. J. Exp. Bot. 2020;71:3361–3373. doi: 10.1093/jxb/eraa149. [DOI] [PubMed] [Google Scholar]
- 101.Zwaenepoel A, Van de Peer Y. wgd-simple command line tools for the analysis of ancient whole-genome duplications. Bioinformatics. 2019;35:2153–2155. doi: 10.1093/bioinformatics/bty915. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 102.Wang Y, et al. MCScanX: a toolkit for detection and evolutionary analysis of gene synteny and collinearity. Nucleic Acids Res. 2012;40:e49. doi: 10.1093/nar/gkr1293. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 103.Kim D, Langmead B, Salzberg SL. HISAT: a fast spliced aligner with low memory requirements. Nat. Methods. 2015;12:357–360. doi: 10.1038/nmeth.3317. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 104.Pertea M, Kim D, Pertea GM, Leek JT, Salzberg SL. Transcript-level expression analysis of RNA-seq experiments with HISAT, StringTie and Ballgown. Nat. Protoc. 2016;11:1650–1667. doi: 10.1038/nprot.2016.095. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 105.Hatlestad GJ, et al. The beet R locus encodes a new cytochrome P450 required for red betalain production. Nat. Genet. 2012;44:816–820. doi: 10.1038/ng.2297. [DOI] [PubMed] [Google Scholar]
- 106.Sasaki N, et al. Isolation and characterization of cDNAs encoding an enzyme with glucosyltransferase activity for cyclo-DOPA from four o’clocks and feather cockscombs. Plant Cell Physiol. 2005;46:666–670. doi: 10.1093/pcp/pci064. [DOI] [PubMed] [Google Scholar]
- 107.Vogt T. Substrate specificity and sequence analysis define a polyphyletic origin of betanidin 5- and 6-O-glucosyltransferase from Dorotheanthus bellidiformis. Planta. 2002;214:492–495. doi: 10.1007/s00425-001-0685-1. [DOI] [PubMed] [Google Scholar]
- 108.Katoh K, Asimenos G, Toh H. Multiple alignment of DNA sequences with MAFFT. Methods Mol. Biol. 2009;537:39–64. doi: 10.1007/978-1-59745-251-9_3. [DOI] [PubMed] [Google Scholar]
- 109.Price MN, Dehal PS, Arkin AP. FastTree 2–approximately maximum-likelihood trees for large alignments. PLoS ONE. 2010;5:e9490. doi: 10.1371/journal.pone.0009490. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 110.Letunic I, Bork P. Interactive Tree Of Life (iTOL) v4: recent updates and new developments. Nucleic Acids Res. 2019;47:W256–W259. doi: 10.1093/nar/gkz239. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 111.Hao Z, et al. RIdeogram: drawing SVG graphics to visualize and map genome-wide data on the idiograms. J Comput. Sci. 2020;6:e251. doi: 10.7717/peerj-cs.251. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The raw DNA sequencing reads and the assembled genome of Hylocereus undatus cultivar “David Bowie” have been submitted to NCBI. The BioProject ID is PRJNA664414, and the BioSample ID is SAMN16213845. The Whole Genome Shotgun accession number is JACYFF000000000.