1. Introduction
Ornamental kale (
Brassica oleracea var.
acephala DC.), as a cultivated variety of
Brassica oleracea (CC, 2n = 18), is an excellent ornamental foliage plant with a range of leaf colors and shapes. It is widely cultivated as a landscaping plant, potted plant, and for cut foliage. The plants are sufficiently tolerant of frost and chilling that they can grow vigorously in regions that experience low temperatures [
1]. The ornamental value and cold tolerance make it a desirable bedding plant in cold seasons and areas. Compared with other
Brassica crops, fewer varieties of ornamental kale are available commercially and the availability of breeding resources is limited, which has greatly hindered germplasm innovation and the breeding of new varieties.
Brassica oleracea shows obvious heterosis, and cross-breeding is used to produce F
1 hybrids, which ensures strong uniformity and protection of varietal rights, and is the main method used to breed new ornamental kale varieties. Inbred (true-breeding) lines that are homozygous at virtually all loci enable both consistent production of superior hybrid plants as well as genetic analysis [
2,
3,
4]. Traditional inbreeding, however, requires 6–8 generations of selfing or sib-mating to generate inbred lines, which is labor-intensive and time-consuming. However, the recent technique of isolated microspore culture offers a faster way to produce doubled-haploid (DH) plants, which are essential for consistent hybrid production and genetic analysis [
5,
6]. Consequently, this technique has been successfully applied to morphotypes of
B. oleracea, such as cabbage, broccoli and kale, and large-scale DH lines have been developed and used in breeding [
6,
7,
8].
Populations of DH lines have been used extensively for high-density genetic linkage map construction and quantitative trait locus (QTL) mapping, as they are permanent and completely homozygous. DH lines have clear advantages over F
2 populations, which consist of individual plants that are often heterozygous. However, the rate of recombination between the parental genomes is lower in DH lines compared to recombinant inbred lines. Creating and maintaining recombinant inbred lines is challenging due to the self-incompatibility of most
B. oleracea accessions [
9]. A DH population provides many homozygous progenies with abundant phenotypic diversity suitable as breeding resources.
Agronomic traits, which are vital for crop improvement, are often complex. Genetic maps, built over the past 30 years for
B. oleracea, serve as a foundation for studies like QTL mapping and gene fine mapping. Considering all these genetic linkage maps, molecular markers ranging in number from 92 to 4,787 were used and the linkage group lengths ranged from 65 to 1,738 cM [
10]. The first high-density genetic linkage map of
B. oleracea, with 1,257 molecular markers including sequence-related amplified polymorphism and simple sequence repeat (SSR) markers spanning 703 cM in nine linkage groups, was constructed based on a F
2 population derived from a broccoli and cauliflower cross [
11]. The second high-density genetic linkage map was constructed including 1,227 markers (602 SSR and 625 single-nucleotide polymorphism (SNP) markers) in nine linkage groups spanning a total of 1197.9 cM with an average of 0.98 cM, using a cabbage DH population. This map also allowed the assembled scaffolds to be anchored to pseudochromosomes [
12]. Next-generation sequencing (NGS) technologies have enabled the development of genome-wide methodologies for construction of ultra-high-density genetic linkage maps in different crops, thus allowing placement of candidate loci within several kilobases in a genome [
13]. With advances in sequencing technologies, several reference genomes have been generated for different morphotypes of
B. oleracea, including kale [
14], cabbage [
15,
16,
17,
18], cauliflower [
18,
19], and broccoli [
20], which greatly facilitates development of a large number of SNP markers for genetic map construction, leading to the improved efficiency of fine mapping. A high-density genetic linkage map of cabbage was constructed with 4,103 genotyping-by-sequencing SNP markers in F
2:3 progenies; this map covered a total genetic distance of 879.9 cM [
21]. A genetic map of cauliflower was constructed with 1,776 specific locus amplified fragment (SLAF) markers spanning a total genetic length of 890.01 cM with an average marker interval of 0.50 cM [
22]. Recently, a genetic map was constructed with 4,787 SLAF markers with a mean marker distance of 0.22 cM in a DH population of broccoli, and loci controlling the hollow stem trait were identified in the genetic map [
23]. No high-density linkage genetic maps of ornamental kale have been reported, which limits gene mapping and molecular breeding for agronomic traits to some extent.
To generate new breeding materials and map the genes that control important agronomic traits of ornamental kale, an ornamental kale F1-derived doubled-haploid (F1DH) population derived from parents that differed markedly in leaf shape and color was constructed using microspore culture. Based on this permanent genetic population, a high-density genetic linkage map was constructed with 1,696 bin-markers containing 982,642 SNPs by high-throughput whole-genome resequencing. This map covered a total genetic distance of 775.81 cM in nine linkage groups with an average marker interval of 0.46 cM. This research will lay a foundation for proliferation of ornamental kale breeding and the cloning of agronomically important genes.
4. Discussion
4.1. Development of DH lines is an effective method for germplasm innovation of ornamental kale
The development of DH lines is an effective approach for germplasm innovation in plant breeding. The DH lines are genetically uniform and are true-breeding lines, and thus have the same genetic constitution as the original haploid plant from which they were derived. As a result, they are useful for development of new cultivars with desirable traits, such as disease resistance, improved quality, and higher yield. The DH lines can be generated by several methods, including microspore culture, anther culture, and ovule culture. These methods allow for the rapid production of genetically uniform DH lines, which can be used to improve the efficiency of plant breeding programs [
37]. By using DH lines, plant breeders can reduce the time required by traditional breeding methods, which can take several years. The DH lines can be used to evaluate and select desirable traits in a shorter period, allowing breeders to quickly develop new cultivars with improved characteristics.
Ornamental kale is a popular plant on account of its colorful foliage and unique appearance, but compared with other brassicaceous crops, limited germplasm resources are available for this plant. This can limit the potential for development of new and improved cultivars with desirable traits. Breeding ornamental kale can be challenging owing to its complex genetics and reproductive characteristics. This can make it difficult to develop new cultivars or to transfer desirable traits between varieties.
In this study, we developed a stable and efficient microspore culture system for ornamental kale to produce double haploids. The regenerated plants can be generated by different pathways from embryoids. The spontaneous chromosome-doubling rate was relatively high (>75%) during microspore regeneration, and the percentage of diploids was more than 20%. The F1DH progenies exhibited rich phenotypic diversity, especially in leaf shape and color, and represented novel phenotypes that were not present in the parents. These results indicated that development of DH lines by microspore culture is an effective method for germplasm innovation of ornamental kale.
4.2. The F1DH population will play important roles in genetic analysis of ornamental kale
The F
1DH population is a type of mapping population that is commonly used in genetic map construction and QTL analysis. The F
1DH lines are homozygous at all loci and hence are ideal for genetic mapping and QTL analysis. This enables accurate and consistent mapping of genetic loci and precise identification of QTLs [
4]. The F
1DH lines can be derived from F
1 hybrids that possess desirable traits, allowing for the efficient transfer of these traits to the mapping population. This is particularly useful in plant breeding, where desirable traits can be selected and incorporated into new varieties [
38]. The homozygosity of F
1DH lines allows for the generation of high-density genetic maps and precise identification of QTLs. This is particularly useful in QTL analysis, where high-resolution mapping is required to identify the genetic loci responsible for complex traits [
39].
Ornamental kale exhibits conspicuous variation in leaf color and shape, and is a suitable material to reveal the genes responsible. In this study, two ornamental kale DH lines differing markedly in leaf color and shape (one parent with red round leaves and the other parent with white feather leaves) were used as the parents and 300 diploid individuals were selected to construct the F1DH population. The F1DH progenies represented abundant genetic diversity in leaf color and shape, which exhibited a continuum from white to purple and from deeply lobed to entire. The F1DH population provides an excellent genetic resource and will shorten the time required for breeding new varieties, and also lays the foundation for mapping the genes that control leaf color and shape in ornamental kale.
4.3. Features of the high-density genetic map of ornamental kale
A genetic map, which is a representation of the location of genes, genetic markers, and other genetic features on a chromosomes or genome, is important for finding loci of interest, fine mapping, gene identification, map-based cloning, comparative genomics, genome assembly, and MAS breeding [
13,
40]. The rapid development of NGS technologies, and the publication of the kale genome [
14] and several other high-quality
B. oleracea reference genomes [
16,
17,
18,
19,
20], have made it possible to construct a high-density genetic map of ornamental kale using SNP markers and accurate genotyping. Several NGS-based genetic maps for
B. oleracea have been published in recent years [
21,
22,
23,
41]. However, these genetic maps were all used simplified genome sequencing, such as genotyping by sequencing or SLAF markers. There are few reports of
B. oleracea genetic maps based on WGR and no high-density genetic maps of ornamental kale have been reported previously. This sequence-based genotyping method is faster and more accurate than marker-based genotyping methods for constructing a genetic map and detecting recombination breakpoints [
33,
42]. The WGR mapping method significantly improves the efficiency of QTL mapping and marker development [
43]. Based on the WGR method, 982,642 SNP markers have been mapped on the genetic map. Many more SNP markers were mapped to the genetic map than in previous studies on other
B. oleracea crops [
21,
22,
23], which will provide valuable tools for future candidate-gene identification, map-based gene cloning, and MAS.
In this study, we sequenced both parental lines at a high coverage depth and sequenced the F
1DH offspring at a low coverage depth. A prominent feature of the WGR method for construction of genetic maps that was used in the present research is that it integrates SNP discovery, SNP validation, and genotyping [
36,
44,
45]. We sequenced parental lines with more than 30-fold sequencing depth and each F
1DH progeny with an average 2.6-fold sequencing depth, which was sufficient to detect the recombination breakpoints. We obtained 43.45, 21.83, and 208.09 Gb of high-quality clean reads from the female parent, the male parent, and their progenies, respectively. By implementing rigorous analysis criteria, recombination intervals were removed, and bin markers were created using precise genotypic data to develop a high-density genetic map. The outcomes revealed that the WGR approach is an effective method for discovering markers and constructing linkage maps with high density. By using the WGR mapping technique, a vast number of genome-wide SNPs were identified that accurately represent the genomic and genetic diversity characteristics, and provided an abundance of polymorphisms for constructing the map [
46,
47].
In total, 1,696 recombination bin markers representing 982,642 SNP markers were mapped to nine linkage groups. The total length of the linkage map was 775.81 cM, with an average distance of 0.46 cM between adjacent bin markers. The collinearity of the genetic and physical maps was generally uniform for all nine chromosomes, which suggested that the markers accurately cover the chromosomes. Visual evaluation of the haplotype and heat maps of the genetic map suggested that the F1DH population was suitable for genetic analysis. These results indicated that the high-density genetic map of ornamental kale contained a high marker density and was accurately constructed.
4.4. The application prospects of the high-density genetic map of ornamental kale
The high-density genetic map of ornamental kale can be applied in multiple areas of research and has excellent application prospects. It can be used in genome assembly and annotation to improve genome assembly and annotation accuracy by providing a scaffold for the assembly and identification of gaps or errors. It can be also used in comparative genomics to compare the genetic organization and evolution of different varieties of B. oleracea or other species of Brassica, which may provide insights into the mechanisms of speciation and genome rearrangement. Moreover, it can be used in QTL mapping to identify QTLs that control complex traits, such as leaf shape, leaf color, and disease resistance, in ornamental kale. It will also play important roles in the development of molecular breeding strategies for ornamental kale improvement, including MAS breeding, genomic selection, and gene editing. Overall, the high-density genetic map of ornamental kale is a powerful tool for genetic analysis and breeding, and its application is likely to continue to expand with continuing advances in genomic technologies.
Figure 1.
Phenotypes of the parental lines ‘05-DH-65′ (female) and ‘06-DH-71′ (male), the F1 progeny, and different morphotypes among the F1DH progeny raised by microspore culture.
Figure 1.
Phenotypes of the parental lines ‘05-DH-65′ (female) and ‘06-DH-71′ (male), the F1 progeny, and different morphotypes among the F1DH progeny raised by microspore culture.
Figure 2.
Embryoid formation and plant regeneration by microspore culture, and ploidy detection among regenerated plants derived from the ornamental kale F1 progeny. Globular, heart, torpedo, and cotyledon-stage embryos in the same Petri dish (a). Episomal embryoids from microspore culture (b). Regenerated shoots directly generated from embryoids (c, d). Adventitious buds formed secondary embryos through somatic embryogenesis (e, f). Flow cytometry was used for ploidy detection among the regenerated plants (g–l).
Figure 2.
Embryoid formation and plant regeneration by microspore culture, and ploidy detection among regenerated plants derived from the ornamental kale F1 progeny. Globular, heart, torpedo, and cotyledon-stage embryos in the same Petri dish (a). Episomal embryoids from microspore culture (b). Regenerated shoots directly generated from embryoids (c, d). Adventitious buds formed secondary embryos through somatic embryogenesis (e, f). Flow cytometry was used for ploidy detection among the regenerated plants (g–l).
Figure 3.
Heatmap of the distribution of SNPs across the nine chromosomes of the ornamental kale genome. A window size of 0.1 Mb was selected on the genome to count the number of SNPs. The color ranges from green to red indicating the density of SNPs from low to high.
Figure 3.
Heatmap of the distribution of SNPs across the nine chromosomes of the ornamental kale genome. A window size of 0.1 Mb was selected on the genome to count the number of SNPs. The color ranges from green to red indicating the density of SNPs from low to high.
Figure 4.
High-density genetic map of ornamental kale constructed from bin markers based on whole-genome resequencing.
Figure 4.
High-density genetic map of ornamental kale constructed from bin markers based on whole-genome resequencing.
Figure 5.
Haplotype map of the genetic map. Each row represents a marker, arranged in the order in the linkage map. Each column represents one sample. Red represents the female parent, blue represents the male parent, and gray indicates missing data. Where the color changes in a column is the location of a recombination event.
Figure 5.
Haplotype map of the genetic map. Each row represents a marker, arranged in the order in the linkage map. Each column represents one sample. Red represents the female parent, blue represents the male parent, and gray indicates missing data. Where the color changes in a column is the location of a recombination event.
Figure 6.
Heatmap of the genetic map. The x and y axes represent markers. The order of markers in a row and column are arranged according to their genetic distance. Each cell represents the recombination rate of two markers. Yellow and purple indicate a low and high recombination rate, respectively.
Figure 6.
Heatmap of the genetic map. The x and y axes represent markers. The order of markers in a row and column are arranged according to their genetic distance. Each cell represents the recombination rate of two markers. Yellow and purple indicate a low and high recombination rate, respectively.
Figure 7.
Relationship between genetic and physical positions for each chromosome. The x-axis represents the genetic distance on the genetic map, and the y-axis represents the physical position on the genome.
Figure 7.
Relationship between genetic and physical positions for each chromosome. The x-axis represents the genetic distance on the genetic map, and the y-axis represents the physical position on the genome.
Table 1.
Statistics for the whole-genome resequencing data
Table 1.
Statistics for the whole-genome resequencing data
Sample |
Total Clean Reads |
Total Clean Bases |
Q30 Percentage (%) |
GC Percentage (%) |
05-DH-65 |
145,119,251 |
43,453,720,350 |
91.45 |
37.59 |
06-DH-71 |
72,896,717 |
21,830,253,446 |
85.59 |
36.74 |
F1DH offspring |
694,710,016 |
208,094,995,584 |
90.88 |
37.07 |
Total |
912,725,984 |
273,378,969,380 |
90.84 |
37.07 |
Table 2.
Statistics for the mapping results
Table 2.
Statistics for the mapping results
Sample |
Clean Reads |
Mapped (%) |
Properly mapped (%) |
05-DH-65 |
145,119,251 |
94.12 |
80.85 |
06-DH-71 |
72,896,717 |
92.59 |
78.45 |
F1DH offspring (average) |
9,199,180 |
93.55 |
81.41 |
Table 3.
Distribution of genetic markers on the high-density genetic map
Table 3.
Distribution of genetic markers on the high-density genetic map
LG ID |
Total Bin Marker |
Total Distance (cM) |
Average Distance (cM) |
Max Gap (cM) |
Gaps<5cM (%) |
LG1 |
156 |
85.73 |
0.55 |
2.67 |
100 |
LG2 |
164 |
81.89 |
0.5 |
2.73 |
98.36 |
LG3 |
272 |
132.88 |
0.49 |
5.35 |
99.73 |
LG4 |
221 |
96.06 |
0.43 |
2.67 |
98.89 |
LG5 |
179 |
88.25 |
0.49 |
2 |
100 |
LG6 |
170 |
62.4 |
0.37 |
3.34 |
100 |
LG7 |
126 |
51.34 |
0.41 |
2.67 |
100 |
LG8 |
180 |
72.45 |
0.4 |
2 |
100 |
LG9 |
228 |
104.81 |
0.46 |
0.02 |
100 |
Total |
1696 |
775.81 |
0.46 |
|
99.66 |
Table 4.
Spearman correlation coefficients between the genetic and physical positions of each linkage group (LG).
Table 4.
Spearman correlation coefficients between the genetic and physical positions of each linkage group (LG).
LG ID |
Spearman |
LG1 |
0.9987 |
LG2 |
0.9926 |
LG3 |
0.9778 |
LG4 |
0.9816 |
LG5 |
0.9842 |
LG6 |
0.9976 |
LG7 |
0.9981 |
LG8 |
0.9641 |
LG9 |
0.9803 |