Whole-genome sequencing and analysis of two azaleas, Rhododendron ripense and Rhododendron kiyosumense

Abstract

To enhance the genomics and genetics of azalea, the whole-genome sequences of two species of Rhododendron were determined and analysed in this study: Rhododendron ripense, the cytoplasmic donor and ancestral species of large-flowered and evergreen azalea cultivars; and Rhododendron kiyosumense, a native of Chiba prefecture (Japan) seldomly bred and cultivated. A chromosome-level genome sequence assembly of R. ripense was constructed by single-molecule real-time sequencing and genetic mapping, while the genome sequence of R. kiyosumense was assembled using the single-tube long fragment read sequencing technology. The R. ripense genome assembly contained 319 contigs (506.7 Mb; N50 length: 2.5 Mb) and was assigned to the genetic map to establish 13 pseudomolecule sequences. On the other hand, the genome of R. kiyosumense was assembled into 32,308 contigs (601.9 Mb; N50 length: 245.7 kb). A total of 34,606 genes were predicted in the R. ripense genome, while 35,785 flower and 48,041 leaf transcript isoforms were identified in R. kiyosumense through Iso-Seq analysis. Overall, the genome sequence information generated in this study enhances our understanding of genome evolution in the Ericales and reveals the phylogenetic relationship of closely related species. This information will also facilitate the development of phenotypically attractive azalea cultivars.

1. Introduction

Azalea is a popular woody ornamental plant grown all around the world. In Japan, evergreen azalea varieties (genus Rhododendron; subgenus Tsutsusi; section Tsutsusi), with high ornamental value, were collected from the natural habitat and have served as founding genotypes for breeding phenotypically attractive cultivars since the 17th century.¹ Many of the derived cultivars were introduced into Western countries as new Oriental ornamentals and have been utilized as breeding materials for potted and garden azalea.² To determine the phylogenetic relationship among Rhododendron and to facilitate the breeding of new varieties with more attractive phenotypes, genome sequence data of the species are needed. However, while the genomic resources of vegetable and fruit crops as well as cereals have dramatically increased because of significant advancements in the next-generation (or second generation) sequencing technologies, following the first generation Sanger method,³ those of woody ornamentals remain limited.

Long-read sequencing technology, also known as the third generation sequencing technology, has revolutionized the field of genomics by improving the contiguity of de novo genome sequence assemblies from the contig- and scaffold-level (generated by the second generation sequencing technologies) to the chromosome- or telomere-to-telomere-level.⁴ Single-molecule long-read sequencing technologies generate sequence reads containing more than 10k or 100k nucleotides (PacBio, Oxford Nanopore Technologies [ONT]). However, short reads generated by the second generation sequencing technologies could be assembled together using commercially available methods to form long single DNA molecules known as synthetic long reads (Illumina), linked reads (10× Genomics), and single-tube long fragment reads (stLFRs) (MGI tech).

Chromosome-level genome sequence assemblies of two Rhododendron, R. williamsianum Rehder and E. H. Wilson and R. simsii Planch., have been published recently^5,6; the former is a typical rhododendron of the subgenus Hymenanthes, while the latter is one of the Rhododendron native to China. In addition, a draft genome sequence of Rhododendron delavayi (subgenus Hymenanthes, subsection Arborea) is also available.⁷Rhododendronsimsii is considered to be the main ancestral species of Belgian azaleas; however, the results of amplified fragment length polymorphism⁸ and chloroplast DNA analyses¹ indicate that R. simsii is more distantly related to azalea cultivars, while Rhododendron ripense Makino played a greater role in the development of Belgian pot azalea and large-flowered cultivars. As R. ripense, endemic to West Japan, is likely to be a potential maternal line of the current large-flowered and evergreen ornamental cultivars of azalea,¹ the genome sequence information would be important to clarify the phylogeny of Rhododendron, which could be easily crossed with relatives to generate interspecific hybrids under natural conditions as well as in breeding programs. In contrast to R. ripense, since Rhododendron kiyosumense Makino (subgenus Tsutsusi, section Brachycaryx) is a wild species and has seldom been used as a material to develop any ornamental azalea cultivars, it might be expected to possess new genes and alleles potentially useful for breeding and phylogenetic classification. In addition, R. ripense and R. kiyosumense are evergreen and deciduous plants, respectively, the genome information of the two species would be helpful to reveal molecular mechanisms leading to their difference even though both are members of Rhododendron. In this study, we determined the whole-genome sequences of R. ripense and R. kiyosumense by single-molecule real-time (SMRT) sequencing and stLFR technology, respectively, to enhance the phylogenetic analysis of azalea cultivars.

2. Materials and methods

2.1. Plant materials

Leaf samples of R. ripense were collected from a tree, namely ‘Hi-Oni1’, growing at the natural habitat of the Oninoshitaburui Valley (Okuizumo, Shimane, Japan), while those of R. kiyosumense, i.e. ‘KMT1’, were collected from a tree growing in front of the entrance of Kazusa DNA Research Institute (Kisarazu, Chiba, Japan), respectively. Genomic DNA was extracted from the leaf samples of both species using Genomic-Tip (Qiagen, Hilden, Germany). A mapping population of 136 plants was developed from a four-way cross using paternal and maternal genotypes derived from the Rhododendron × hannoense ‘Amagi-beni-chōjyu’ and Rhododendron × pulchrum ‘Oomurasaki’ cross and the Rhododendron indicum ‘Chōjyu-hō’ and Rhododendron obtusum ‘Kirin’ cross, respectively.

2.2. Whole-genome sequencing and assembly of R. ripense

Rhododendron ripense DNA library preparation and sequencing were performed as described previously.⁹ Briefly, a short-read DNA library was constructed using the PCR-free Swift 2S Turbo Flexible DNA Library Kit (Swift Sciences, Ann Arbor, MI, USA), which was then converted into a DNA nanoball sequencing library using the MGI Easy Universal Library Conversion Kit (MGI Tech, Shenzhen, China). The library was sequenced using the DNBSEQ G400 (MGI Tech) instrument to generate 101 bp paired-end reads. After removing low-quality bases (<10 quality value) with PRINSEQ and adaptor sequences (AGATCGGAAGAGC) with fastx_clipper in the FASTX-Toolkit, the genome size of R. ripense was estimated with Jellyfish. In parallel, a long-read DNA library of R. ripense was constructed using the SMRTbell Express Template Prep Kit 2.0 (PacBio, Menlo Park, CA, USA) and sequenced on the PacBio Sequel system (PacBio). The obtained long reads were assembled with Falcon_Unzip to obtain two haplotype-resolved sequences, primary contigs and haplotigs. Potential sequencing errors in the assembled sequences were corrected with ARROW using the long reads. Haplotype duplications in the primary contigs were removed with Purge_Dups. Organelle genome sequences, identified by sequence similarity searches of the reported plastid (R. × pulchrum, DDBJ accession number: MN182619) and mitochondrial (Vaccinium macrocarpon, KF386162) genome sequences of the Rhododendron relatives using Minimap2, were also deleted. Assembly completeness was evaluated with the embryophyta_odb10 data using Benchmarking Universal Single-Copy Orthologs (BUSCO). The software tools used for data analyses are listed in Supplementary Table S1.

2.3. Pseudomolecule sequence construction based on genetic mapping

A genetic map of Rhododendron was constructed with single nucleotide polymorphisms (SNPs) identified by double digest restriction-site associated DNA sequencing (ddRAD-Seq) of mapping population derived from the four-way cross. Genomic DNA of each genotype in the population was digested with PstI and MspI restriction endonucleases and ligated with adaptors to construct a DNA sequence library, as described previously.¹⁰ The library was sequenced in paired-end mode using the DNBSEQ G400 (MGI Tech) instrument. Sequence reads were subjected to the ddRAD-Seq pipeline¹⁰ and mapped onto the genome sequence assembly of R. ripense with Bowtie2. High-confidence biallelic SNPs were identified using the mpileup option of SAMtools and filtered using VCFtools with the following conditions: read depth ≥ 5; SNP quality = 999; minor allele frequency ≥0.2; proportion of missing data <50%. A linkage analysis of the SNPs was performed with Lep-Map3 to establish a genetic map. The contig sequences were anchored to the genetic map, and pseudomolecule sequences were established with ALLMAPS. The genome structure of R. ripense was compared with those of R. williamsianum, R. simsii, and 114 additional plant species³ whose genome sequences have been assembled at the chromosome level, with minimap2, and visualized using D-GENIES.

2.4. Gene prediction and repeat sequence analysis of the R. ripense genome

Protein-coding genes were predicted using the MAKER pipeline, based on the peptide sequences of R. williamsianum and R. simsii, and expressed sequence tags of R. ripense (DDBJ accession numbers: FY995432–FY996693). Short gene sequences (<300 bp) as well as genes predicted with an annotation edit distance (AED) >0.5, which is proposed as a threshold for good annotations in the MAKER protocol, were removed to facilitate the selection of high-confidence genes. Functional annotation of the predicted genes was performed with Hayai-Annotation Plants.

Repetitive sequences in the pseudomolecule sequences were identified with RepeatMasker using repeat sequences registered in Repbase and a de novo repeat library built with RepeatModeler. The repeat elements were classified into nine types, in accordance with RepeatMasker: short-interspersed nuclear elements (SINEs), long-interspersed nuclear elements (LINEs), long-terminal repeat (LTR) elements, DNA elements, small RNAs, satellites, simple repeats, low complexity repeats, and unclassified.

2.5. Whole-genome sequencing and analysis of R. kiyosumense

The whole-genome sequence of R. kiyosumense was determined using stLFR technology. An stLFR library of R. kiyosumense was constructed using the MGIEasy stLFR Library Prep Kit (MGI Tech) and sequenced in paired-end mode using the DNBSEQ G400 (MGI Tech) instrument. The obtained reads were used to estimate the genome size with Jellyfish, as described above. The sequence reads were assembled into contigs with the stLFRdenovo pipeline (https://github.com/BGI-biotools/stLFRdenovo). Sequences from the organelle genomes were eliminated, as described above. The R. kiyosumense contig sequences were mapped onto the R. ripense pseudomolecule sequences with minimap2.

2.6. Transcriptome analysis of R. kiyosumense

Total RNA was extracted from flowers and leaves of R. kiyosumense using the Plant Total RNA Purification Mini Kit (Favorgen, Ping-Tung, Taiwan). The isolated total RNA was converted into cDNA with NEBNext Single Cell/Low Input cDNA Synthesis & Amplification Module (New England BioLabs, Ipswich, MA, USA). A sequence library for isoform sequencing (Iso-Seq) was prepared using the Iso-Seq Express Template Preparation Kit (PacBio) and sequenced on the PacBio Sequel system (PacBio). Transcript isoforms for each sample were generated with the Iso-Seq3 pipeline (PacBio) implemented in SMRTlink (PacBio). The transcript sequences were aligned to the pseudomolecule sequences of R. ripense with Minmap2.

3. Results and data description

3.1. De novo assembly of the R. ripense genome

To estimate the size of the R. ripense genome, short reads (39.9 Gb) were subjected to k-mer distribution analysis. The results indicated that the R. ripense genome was highly heterozygous, with a haploid genome size of 527.0 Mb (Fig. 1). A total of 3.0 million sequence reads (58.8 Gb; 111.6× coverage of the estimated genome size) were obtained from four SMRT cells on the PacBio Sequel system. The sequence reads were assembled into primary contigs and alternative sequences, resolved into primary contigs and haplotigs, and then polished to correct potential sequencing errors. Hence, haplotype duplications in the primary contigs as well as possible organelle genome sequences were removed. The final assembly, named RRI_r1.0, consisted of 506.7 Mb of primary contigs (including 318 sequences with an N50 length of 2.5 Mb) and 437.0 Mb haplotigs (including 1,821 sequences with an N50 length of 435.1 kb).

Figure 1.

Estimation of the genome size of Rhododendron ripense and Rhododendron kiyosumense, based on k-mer analysis (k = 17) with the given multiplicity values.

The genome sequence assembly of R. ripense was validated by genetic mapping, for which we employed a mapping population derived from an interspecific four-way cross among Rhododendron species not including R. ripense. Since the chromosome structures of the four parental species and R. ripense are well conserved,¹¹ we considered that it was possible to use the resultant genetic map as a reference of the R. ripense genome. To construct a genetic map, 87 million ddRAD-seq reads were obtained from the mapping population (n = 136) and parental lines (Supplementary Table S2). High-quality reads were aligned to RRI_r1.0 as a reference, with an average mapping rate of 82.9% (Supplementary Table S2), and 12,463 high-confidence SNPs were detected, which were then employed for linkage analysis. Thirteen linkage groups (LGs), corresponding to the number of chromosomes of R. ripense, were obtained, and marker order in each group and map distances between the markers were calculated. The resultant genetic map consisted of 8,723 SNP loci in 1,673 genetic bins spanning a genetic distance of 1,012.3 cM (Fig. 2; Table 1; Supplementary Table S3). The nomenclature and orientation of each LG were based on those of R. williamsianum.⁵ In this mapping process, a probable error in assembly was found in contig Rri1.0p098F_1.1, where upstream and downstream sequences were genetically mapped onto two different LGs: LG4 and LG6. Therefore, this contig was split into two sequences, Rri1.1p098F_1.1 and Rri1.1p098F_2.1. The sequence dataset was named RRI_r1.1 (Table 2). The total length of the resultant 319 primary contigs (RRI_r1.1) was 506.7 Mb (96.1% of the estimated genome size) with an N50 length of 2.5 Mb. BUSCO analysis of the primary contigs indicated that 96.9% of the sequences were complete BUSCOs (Table 2). Based on the genetic map, 254 primary contig sequences spanning 487.3 Mb (96.2% of RRI_r1.0, and 92.5% of the estimated genome size) were anchored to the genetic map (Table 3). The sequences were connected with 100 Ns to construct pseudomolecule sequences, namely, the RRI_r1.1.pmol dataset.

Figure 2.

Genetic linkage map of Rhododendron. Red and blue bars represent the dominant SNPs in the paternal line (F1 hybrid of R. × hannoense ‘Amagi-beni-chōjyu’ and R. × pulchrum ‘Oomurasaki’) and maternal line (F1 hybrid of R. indicum ‘Chōjyu-hō’ and R. obtusum ‘Kirin’), respectively. Black bars indicate co-dominant SNPs between the parental lines. Detailed information of the genetic map and SNP markers is shown in Supplementary Tables S3.

Table 1.

Details of the genetic map of Rhododendron

Linkage group	Number of SNP loci	Genetic distance (cM)	Genetic bin
RRI1.1ch01	912	80.5	131
RRI1.1ch02	674	84.7	144
RRI1.1ch03	794	79.4	139
RRI1.1ch04	840	76.6	147
RRI1.1ch05	839	78.5	148
RRI1.1ch06	694	76.7	119
RRI1.1ch07	552	76.9	123
RRI1.1ch08	643	76.8	128
RRI1.1ch09	518	85.9	129
RRI1.1ch10	667	68.2	124
RRI1.1ch11	627	68.9	107
RRI1.1ch12	483	85.2	120
RRI1.1ch13	480	74.1	114
Total	8,723	1,012.3	1,673

Table 2.

Statistics of the genome assemblies of R. ripense (RRI_r1.1) and R. kiyosumense (RKI_r1.0)

	RRI_r1.1	RRI_r1.1.haplotigs	RKI_r1.0
Total contig size (bp)	506,708,990	437,018,679	601,919,567
Number of contigs	318	1,821	32,308
Contig N50 length (bp)	2,455,795	435,106	245,700
Longest contig size (bp)	13,760,855	4,402,178	7,536,965
Gap (bp)	0	0	57,426,200
Complete BUSCOs	96.9	−	90.9
Single-copy BUSCOs	90.3	−	83.1
Duplicated BUSCOs	6.6	−	7.8
Fragmented BUSCOs	0.9	−	4.2
Missing BUSCOs	2.2	−	4.9
Number of genes	34,606	−	−

Table 3.

Statistics of the R. ripense pseudomolecule sequences

Chromosome	No. of contigs	%	Total contig size (bp)	%	No. of genes	%
RRI1.1ch01	22	6.9	38,575,883	7.6	2,674	7.7
RRI1.1ch02	24	7.5	37,582,075	7.4	2,755	8.0
RRI1.1ch03	22	6.9	45,737,217	9.0	2,968	8.6
RRI1.1ch04	15	4.7	33,588,965	6.6	2,501	7.2
RRI1.1ch05	15	4.7	36,413,676	7.2	2,722	7.9
RRI1.1ch06	22	6.9	41,427,417	8.2	2,893	8.4
RRI1.1ch07	26	8.2	41,295,524	8.1	2,839	8.2
RRI1.1ch08	18	5.6	30,448,779	6.0	2,199	6.4
RRI1.1ch09	20	6.3	43,884,683	8.7	2,573	7.4
RRI1.1ch10	18	5.6	35,801,850	7.1	2,292	6.6
RRI1.1ch11	19	6.0	34,455,432	6.8	2,282	6.6
RRI1.1ch12	18	5.6	37,020,540	7.3	2,622	7.6
RRI1.1ch13	15	4.7	31,133,301	6.1	2,124	6.1
Unanchored	65	20.4	19,367,748	3.8	1,162	3.4
Total	319	100.0	506,733,090	100.0	34,606	100.0

3.2. Repetitive sequences and genes in the R. ripense genome

Repetitive sequences occupied a physical distance of 260.3 Mb, amounting to 51.4% of the RRI_r1.1.pmol assembly (506.7 Mb). Nine major types of repeats were identified in varying proportions (Table 4). The dominant repeat types in the pseudomolecule sequences were LTR retroelements (77.2 Mb), followed by DNA transposons (38.6 Mb). Repeat sequences unavailable in public databases totaled 116.6 Mb.

Table 4.

Repetitive sequences in the R. ripense genome

Repeat type	No. of repetitive elements	Length (bp)	%
SINEs	26,849	3,854,405	0.8
LINEs	31,674	11,213,921	2.2
LTR elements	103,972	77,240,248	15.2
DNA transposons	162,900	38,589,314	7.6
Unclassified	547,765	116,584,817	23
Small RNA	28,312	4,355,386	0.9
Satellites	2,068	328,499	0.1
Simple repeats	138,314	7,082,380	1.4
Low complexity	15,978	746,163	0.2

The initial gene prediction suggested 148,286 putative gene sequences in the R. ripense genome assembly. This gene number decreased to 34,606 (Table 2) after the removal of 102,466 low-confidence genes (AED ≥ 0.5), 6,679 genes in repetitive sequence regions, 4,534 short genes (<300 bp), and one redundant sequence. BUSCO analysis of 34,606 genes indicated that 84.6% of the sequences were complete BUSCOs. We concluded that these 34,606 sequences (45.7 Mb in total length) represent high-confidence R. ripense genes. Functional annotation analysis of 34,606 genes revealed that 2,313, 3,878, and 2,652 sequences were assigned to Gene Ontology slim terms in the biological process, cellular component, and molecular function categories, respectively, and 773 genes had enzyme commission numbers (Supplementary Table S4).

3.3. Genome and transcriptome analyses of R. kiyosumense

A total of 144.4 Gb reads (100 bp length) were obtained by sequencing the stLFR library of R. kiyosumense on two lanes of the MGI DNBSEQ-G400 sequencer. The genome size of R. kiyosumense was estimated as 591.6 Mb (Fig. 1). The stLFR reads were trimmed to obtain 99.4 Gb clean reads, which were assembled into 32,308 contigs spanning a physical distance of 601.9 Mb, with an N50 length of 245.7 kb (Table 2); the resultant assembly was named RKI_r1.0. The complete BUSCO scores reached 90.9% (Table 2). Of the 32,308 RKI_r1.0 contigs, 22,658 (568.3 Mb) were aligned to the RRI_r1.1.pmol assembly of R. ripense (Supplementary Fig. S1). Transcript isoforms were obtained in parallel from flowers and leaves of R. kiyosumense by Iso-Seq analysis. The obtained Iso-Seq reads were clustered into 35,785 and 48,041 transcript isoforms (mean length: 2,243 bp) in flowers and leaves, respectively. A total of 34,410 flower transcripts and 46,090 leaf transcripts were mapped onto 3,653 and 4,386 contig sequences of RKI_r1.0. Out of the contigs, 391 contigs including 596 flower and 984 leaf isoforms were not assigned to RRI_r1.1.pmol, suggesting that these genome and gene sequences might be absent from the R. ripense genome.

3.4. Comparative genome analysis of R. ripense and its relatives

The genome structure of R. ripense was compared with those of R. williamsianum and R. simsii. In both comparisons, genome structures were well conserved (Fig. 3) at the chromosome level, even though the nomenclature and orientation of R. simsii chromosomes were different to those of R. ripense and R. williamsianum chromosomes. The genome structure of R. ripense was also compared with those of 114 plant species,³ whose chromosome-level genome assemblies were publicly available in genome databases. Among these 114 species, in addition, the R. ripense genome showed high sequence similarity at the chromosome-segment level with those of Actinidia chinensis, Actinidia eriantha, and Diospyros lotus (Fig. 3; Supplementary Fig. S2), all of which belong to the same order as Rhododendron (Ericales).

Figure 3.

Comparative analysis of the genome sequence and structure of R. ripense, R. williamsianum, R. simsii, and 114 additional plant species. Similarities in the genome sequence and structure of R. ripense, R. williamsianum, R. simsii, Actinidia chinensis, and Diospyros lotus are shown by dots.

4. Conclusion and future perspectives

Here, we report the first genome assembly of R. ripense, which covered 96.1% of the estimated genome size and included 96.9% of the core gene set of Embryophyta represented by BUSCO (Table 2). The map-based chromosome-level genome sequence covered 96.2% of the assembled sequences (Table 3). This coverage is the highest for any species in the Rhododendron (91.1% in R. simsii and 68.3% in R. williamsianum).^5,6 In parallel, we established a draft genome sequence of R. kiyosumense, with 90.9% complete BUSCOs (Table 2); however, the assembled sequence contiguity represented by N50 was ∼10 times less than that of R. ripense contigs. This difference in contig lengths between the two assemblies might be caused by the difference in the sequencing technologies used: the MGI stLFR technique for R. kiyosumense, and the PacBio SMRT sequencing technology for R. ripense. This possibility is supported by the whole-genome sequencing results of Macadamia jansenii, in which the genome assembly generated using the stLFR sequencing technology is more fragmented than that generated by other long-read technologies, e.g. PacBio and ONT.¹² The stLFR could be used to extend genome sequence assemblies with hybrid assemblies using the PacBio and ONT long-read technologies, as suggested by Murigneux et al.¹² Furthermore, the stLFR sequencing and assembly technology might be sufficient to capture most gene spaces in the genomes, which could be sources of ortholog group discovery and regulatory sequences controlling spatial and temporal gene expressions.

The opposing classification systems proposed by various taxonomists for more than 1,000 species in the Rhododendron pose systematic problems at the subgenus level. Recent molecular phylogenetic research, based on several genomic regions, provided a reconstructed phylogeny of the Rhododendron.¹³ However, the molecular information based on randomly selected genome regions is not sufficient for investigating the phylogenetic relationships of closely related species in the Tsutsusi section. Even though chloroplast marker analysis suggests that R. ripense is a potential maternal line of evergreen azalea cultivars,¹ the detailed ancestral relationship between Japanese wild species and traditional cultivars developed by interspecific hybridization remains ambiguous. The chromosome-genome assembly could be a reference in ddRAD-Seq analysis across our collection of Rhododendron species to identify genome introgressions and identity by descent segments from ancestor lines of the relatives. Since bud sport mutants with a different flower colour and/or shape represent important azalea cultivars,² the genome sequence information could be used to find the causative mutations underlying the attractive trait with high ornament value. The genetic map and the pseudomolecule sequences will also be useful for the identification of several important loci in the Rhododendron by a map-based cloning strategy, which can take more than 3 years (from seeding to flowering) using conventional breeding approaches.

The comparative analysis of the sequences of the R. ripense genome and the R. kiyosumense genome and transcriptome (Supplementary Fig. S1) would reveal presence/absence variants as well as sequence variants at the gene level, from which novel genes and/or alleles to differentiate the two species could be discovered for the Rhododendron breeding programs and the phylogenetic 2classification of Rhododendron. Moreover, the genome structure of R. ripense was conserved not only within the genus Rhododendron but also in the order Ericales (Fig. 3). The mechanisms of dioecy have been extensively studied in Actinidia and Diospyros, both of which belong to Ericales.¹⁴ Since Rhododendron bear hermaphroditic flowers, comparative genomics in Ericales might provide insights into the molecular mechanisms underlying sex determination in plants. The genome sequence information generated in this study will enhance our understanding of plant genome evolution and will facilitate the development of phenotypically attractive Rhododendron cultivars.

Supplementary data

Supplementary data are available at DNARES online.

Accession numbers

Sequence reads are available from the Sequence Read Archive (DRA) of the DNA Data Bank of Japan (DDBJ) under the accession numbers DRA012151 (whole-genome sequences for R. ripense), DRA012152 (ddRAD-Seq for the mapping population), and DRA012155 (whole-genome and transcriptome sequences for R. kiyosumense). The DDBJ accession numbers of assembled genome sequences are BPLT01000001−BPLT01000319 (R. ripense) and BPLS01000001−BPLS01032308 (R. kiyosumense), and those of transcriptome sequences for R. kiyosumense are ICRO01000001−ICRO01035785 (flower) and ICRP01000001−ICRP01048041 (leaf). The genome sequence information generated in this study is available at Plant GARDEN (https://plantgarden.jp).

Funding

This work was supported by the Kazusa DNA Research Institute Foundation.

Conflict of interest

None declared.