Abstract
Hybridization of Brassica napus with various Brassicaceae species can result in obtaining new forms with increased resistance to blackleg, a dangerous disease caused mainly by Leptosphaeria maculans. In this study, we aimed to correlate the field resistance of selected Brassica hybrids to blackleg with chromosomal structure revealed by Fluorescence in situ hybridization. Tested genotypes varied in the number of chromosomes and rDNA signals. The greatest variation was observed for A1-type chromosomes. Field evaluation also revealed significant differences in L. maculans resistance. Performed analyses allowed to distinguish three B. napus × Brassica fruticulosa genotypes in which variable patterns of chromosomal structure might be connected to field resistance. However, a more thorough study, including the detection of all A-genome chromosomes, is required.
1 Introduction
The Brassicaceae family consists of many agronomically important species, that is, oil plants (rapeseed, oilseed, mustard) and vegetables (mustard cabbage, broccoli, cauliflower), as well as wild and noncultivated species. The natural genetic variability among the Brassicaceae species results in their richness in biotic and abiotic stress resistance genes [1]. Selected genotypes can act as a source of valuable traits which can be transferred through interspecific hybridization [2,3].
Rapeseed (Brassica napus L.), one of the most important sources of vegetable oil in the world [4], is an amphidiploid originating from diploid species Brassica rapa L. and Brassica oleracea L. Interspecific hybridization with species of Brassicaceae may result in broadening B. napus gene pool with useful characteristics such as resistance to Leptosphaeria maculans, the causal agent of blackleg. This disease, distributed worldwide, can lead to a substantial yield loss of – up to 60% in favourable conditions [5]. Breeding of resistant cultivars is an environmentally friendly and reliable method of controlling blackleg disease [6]. Two types of resistance to L. maculans have been discovered: seedling resistance controlled by single major genes (R genes) and adult plant resistance conferred by multiple minor genes (QTL, quantitative trait loci) [7]. Considering the high evolutionary potential of L. maculans, low genetic diversity of rapeseed, as well as reported and predicted breakdowns of qualitative resistance in B. napus, it seems crucial to introduce new sources of resistance other than rapeseed [8–10]. Effective resistance genes can be found among several species of Brassicaceae, for example, Arabidopsis thaliana, B. elongata, B. fruticulosa, B. juncea, B. carinata, B. nigra, and Raphanus sativus [11–13]. That is why interspecific crosses of B. napus with its relatives may lead to transferring of the blackleg resistance genes to rapeseed, as previously reported [14–16]. For example, Rahman et al. [17] crossed susceptible cultivar Westar with resistant B. carinata accession, which resulted in obtaining BC2S3 DH population resistant to pathotype PG2 of L. maculans.
To confirm hybridity and verify the genetic variation at the chromosomal level, genotypes obtained by interspecific crossing may be characterized by methods of in situ hybridization. Genomic in situ hybridization (GISH) is used primarily to identify parental genomes in allopolyploid species. The results of the GISH analysis allow the demonstration of intergenomic structural rearrangements (translocations between individual ancestral genomes) [18–20] and provide information on the similarities between the DNA of related species [21]. However, Hasterok et al. [22] observed nonspecific probes hybridization while analysing the A and C genomes of B. napus, which might have been caused by the high homology of the aforementioned genomes. As the lack of entire chromosome arms painting limits the use of GISH technique in Brassica, another method of chromosome recognition should be applied. Fluorescence in situ hybridization (FISH) is a commonly used technique for analysing the structure of the plant genome. The use of rDNA sequences in the analysis of Brassica species enables the recognition of selected chromosomes (i.e., carrying rDNA sequences) and consequently gives deeper insight into genome structure and composition [23]. The use of the 5S rDNA and 35S rDNA sequences as probes in the FISH technique enables the identification of the A1, A3, A5/A6/A9, and A10 chromosomes in the B. rapa genome, C4, C7, and C8 in the B. oleracea genome, as well as B4, B5, and B6/7 in the genome of B. nigra [24].
This study aimed to correlate the field resistance of chosen Brassica hybrids to L. maculans with chromosomal structure revealed by FISH. The comparison of field evaluation with cytogenetics study allows assessing if the presence or absence of certain chromosome regions is directly connected to plants' response to blackleg disease. The use of FISH technique will additionally allow tracking chromosome rearrangements based on various rDNA loci patterns found in hybrid parental forms.
2 Materials and methods
The F1 generation of hybrids was developed at the Department of Genetics and Plant Breeding (Poznań University of Life Sciences) by performing crosses between B. napus (maternal species) and various Brassicaceae genotypes (paternal species) with known blackleg resistance level. The hybrids were developed using in vitro techniques. Next, chosen genotypes were self-pollinated to obtain F2 plants. The following interspecific hybrids of F2 generation were used as research material: B. napus × B. rapa ssp. pekinensis, B. napus × B. rapa ssp. trilocularis, B. napus × B. rapa ssp. chinensis, B. napus × B. fruticulosa, B. napus × Brassica carinata, B. napus × Brassica juncea. Field evaluation was performed to assess the level of hybrids resistance to L. maculans followed by FISH technique to analyse the chromosome architecture of chosen hybrids.
2.1 FISH
Seeds of studied genotypes were germinated in the dark for 3–4 days. Freshly cut seedlings’ roots were treated with 2 mM 8-hydroxyquinoline under the following conditions: 1 h at 4°C and 2 h at room temperature in the dark. Roots were fixed in ethanol–glacial acetic acid mixture (3:1) and stored at −20°C. Fixed plant material was macerated for 70–90 min depending on the genotype in an enzyme mixture consisting of 20% pectinase (Sigma), 1% cellulase (Calbiochem), and 1% cellulase ‘Onozuka R-10’ (Serva). Next, single root tips were squashed on the glass slide in 10 µL of 45% acetic acid. After a preliminary assessment of prepared slides, coverslips were removed by liquid nitrogen freezing and stored at 4°C until needed.
Two probes, 5S and 35S rDNA, were used in this study. The 5S rDNA sequence was derived from Triticum aestivum genome. The whole sequence (410 bp) was isolated from the plasmid vector with the use of QIAprep Spin Miniprep Kit (Qiagen), and labelled with rhodamine using PCR method under the following conditions: 94°C × 60 s, 35 cycles (94°C × 40 s, 55°C × 40 s, 72°C × 60 s), 72°C × 5 min. 35S rDNA is a 2.3kbp long fragment derived from A. thaliana. Plasmid vector sequence was isolated using QIAprep Spin Miniprep Kit (Qiagen) and labelled with digoxygenin by nick-translation (Nick Translation Kit, Sigma-Aldrich) under following conditions: 15°C × 95 min, 60°C × 10 min.
The double-target FISH procedure was carried out according to Hasterok et al. [22]. For every combination, five genotypes were assessed. The hybridization mixture consisted of 50% de-ionised formamide, 10% dextran sulphate, 2× SSC buffer, 10% SDS, SSS (salmon sperm blocking DNA), 5S and 35S rDNA probes. To detect digoxygenin labelled probe, FITC-conjugated anti-digoxigenin antibodies were used (Sigma-Aldrich). Chromosomes were later counterstained with DAPI (4,6-diamidino-2-phenylindole). Microscope slides were examined with epifluorescence microscope BX-61 (Olympus) equipped with XM10 monochrome camera (Olympus). Captured pictures were further analysed and processed with Micrografx Picture Publisher 10.0 software (Corel Corporation) and Adobe Photoshop software (Adobe). For every genotype we assessed the somatic number of chromosomes, the number of marker chromosomes, and the number of marker chromosome pairs. The chromosomes were identified according to nomenclature established by Xiong and Pires [24].
2.2 Resistance to L. maculans
Field evaluation was conducted in three subsequent years (2018, 2019, 2020) on the testing fields in Poznań University of Life Sciences experimental station Dłoń (51°41′23″N, 17°04′10″E) located 100 km south from Poznań, Poland. The whole experiment was set up in a completely randomized block design with five replications, and each single plot size was 10 m2 with a 0.30 m row distance and a sowing density of 60 seeds/m2. The field experiment in Dłoń was carried out on typical heavy soil of III quality class, with optimal agricultural practices for local agroecological conditions, and no artificial irrigation In crop seasons 2017/2018, 2018/2019, and 2019/2020, the weather conditions were typical for this region of Poland. The seasonal rainfall in Dłoń was 372 mm in 2018, 393 mm in 2019, and 405 mm in 2020, whereas the mean annual temperatures in 2018, 2019, and 2020 were 10.8, 11.1, and 10.5°C respectively. The pre-sowing fertilization on experimental plots consisted of ammonium phosphate (200 kg/ha) and ammonium nitrate (100 kg/ha). Four fertilizers were used during vegetation: Saletrosan 26 (300 kg/ha), ammonium nitrate (200 kg/ha), magnesium sulphate and ADOB Bor, containing borum and nitrogen. No fungicides and pesticides were used on the testing fields. Disease severity was assessed once a year in autumn (BBCH 11–14, leaf development) on five genotypes per combination, according to a percentage scale (Table 1). Whole plants were used to assess the plants' resistance. The average values from ten replications were calculated for each genotype in every combination.
Disease severity percentage scale according to visual symptoms observed on whole plants
| Percentage scale | Disease symptoms | Resistance level |
|---|---|---|
| 0 | No diseased tissue visible | Highly resistant |
| 5 | Lesions occupy 5% of the roots and leaves surface | Resistant/highly resistant |
| 10 | Lesions occupy 10% of the roots and leaves surface | Resistant |
| 20 | Lesions occupy 20% of the roots and leaves surface | Moderately resistant/resistant |
| 25 | Lesions occupy 25% of the roots and leaves surface | Moderately resistant |
| 50 | Lesions occupy 50% of the roots and leaves surface | Moderately susceptible/moderately resistant |
| 75 | Lesions occupy 75% of the roots and leaves surface | Moderately susceptible |
| 90 | Lesions occupy 90% of the roots and leaves surface | Susceptible/moderately susceptible |
| 100 | Dead plant | Susceptible |
2.3 Statistical analysis
The normality of the distribution of the studied trait (L. maculans infestation) was tested using Shapiro–Wilk’s normality test [25]. Two-way analysis of variance (ANOVA) was carried out to determine the effects of combinations and years as well as combination × year interaction on the variability of infestation. The mean values and standard deviations of infestation were calculated. The Fisher’s least significant differences (LSDs) were calculated for infestation and on this basis, homogeneous groups were determined. The relationships between particular years were assessed based on Pearson’s correlation for infestation. These relationships were presented in heatmaps. One-way ANOVA was carried out to determine the effect of genotypes on the variability of infestation, independently for each combination. All analyses were conducted using the GenStat 18th edition statistical software package.
3 Results
3.1 FISH
The FISH technique was used to assess the chromosomal composition of newly generated hybrids that were created by crossing between allotetraploid B. napus with other allopolyploid Brassica species, such as B. carinata and B. juncea, as well as with diploid B. fruticulosa and B. rapa (ssp. pekinensis, trilocularis, and chinensis). Detailed results are presented in Table 2. Generally, performed analyses allowed to assess the general number of chromosomes and distinguish the chromosomal types that are characteristic for A and C genome (Figure 1).
Number of detected chromosomes, rDNA signals, and marker chromosomes revealed by FISH analysis
| Number of marker chromosomes | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Combination | Genomic constitution | No. of genotype | 2n | 5S rDNA loci number | 35S rDNA loci number | A1 | A3 | A10 | A5/A6/A9 | C4 | C7 | C8 | B4 | B5 | B6/7 |
| B. napus × B. rapa ssp. pekinensis | AACC × AA | 1 | 38 | 10 | 12 | 4 | 2 | 2 | 2 | 2 | 2 | 2 | — | — | — |
| 2 | 38 | 10 | 12 | 4 | 2 | 2 | 2 | 2 | 2 | 2 | — | — | — | ||
| 3 | 38 | 12 | 14 | 6 | 2 | 2 | 2 | 2 | 2 | 2 | — | — | — | ||
| 4 | 38 | 10 | 12 | 4 | 2 | 2 | 2 | 2 | 2 | 2 | — | — | — | ||
| 5 | 38 | 12 | 14 | 6 | 2 | 2 | 2 | 2 | 2 | 2 | — | — | — | ||
| B. napus × B. rapa ssp. trilocularis | AACC × AA | 1 | 38 | 11 | 13 | 5 | 2 | 2 | 2 | 2 | 2 | 2 | — | — | — |
| 2 | 38 | 10 | 12 | 4 | 2 | 2 | 2 | 2 | 2 | 2 | — | — | — | ||
| 3 | 38 | 11 | 13 | 5 | 2 | 2 | 2 | 2 | 2 | 2 | — | — | — | ||
| 4 | 38 | 11 | 13 | 5 | 2 | 2 | 2 | 2 | 2 | 2 | — | — | — | ||
| 5 | 38 | 10 | 12 | 4 | 2 | 2 | 2 | 2 | 2 | 2 | — | — | — | ||
| B. napus × B. rapa ssp. chinensis | AACC × AA | 1 | 38 | 10 | 12 | 4 | 2 | 2 | 2 | 2 | 2 | 2 | — | — | — |
| 2 | 38 | 10 | 12 | 4 | 2 | 2 | 2 | 2 | 2 | 2 | — | — | — | ||
| 3 | 38 | 10 | 12 | 4 | 2 | 2 | 2 | 2 | 2 | 2 | — | — | — | ||
| 4 | 38 | 10 | 12 | 4 | 2 | 2 | 2 | 2 | 2 | 2 | — | — | — | ||
| 5 | 38 | 10 | 12 | 4 | 2 | 2 | 2 | 2 | 2 | 2 | — | — | — | ||
| B. napus × B. fruticulosa | AACC × FF | 1 | 36 | 10 | 12 | 4 | 2 | 2 | 2 | 2 | 2 | 2 | — | — | — |
| 2 | 36 | 12 | 13 | 6 | 2 | 2 | 2 | 2 | 1 | 2 | — | — | — | ||
| 3 | 36 | 10 | 12 | 4 | 2 | 2 | 2 | 2 | 2 | 2 | — | — | — | ||
| 4 | 36 | 10 | 12 | 4 | 2 | 2 | 2 | 2 | 2 | 2 | — | — | — | ||
| 5 | 34 | 8 | 10 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | — | — | — | ||
| B. napus × Brassica carinata | AACC × BBCC | 1 | 38 | 10 | 12 | 4 | 2 | 2 | 2 | 2 | 2 | 2 | 0 | 0 | 0 |
| 2 | 38 | 10 | 12 | 4 | 2 | 2 | 2 | 2 | 2 | 2 | 0 | 0 | 0 | ||
| 3 | 38 | 10 | 12 | 4 | 2 | 2 | 2 | 2 | 2 | 2 | 0 | 0 | 0 | ||
| 4 | 38 | 10 | 12 | 4 | 2 | 2 | 2 | 2 | 2 | 2 | 0 | 0 | 0 | ||
| 5 | 38 | 10 | 12 | 4 | 2 | 2 | 2 | 2 | 2 | 2 | 0 | 0 | 0 | ||
| B. napus × Brassica juncea | AACC × AABB | 1 | 37 | 10 | 12 | 4 | 2 | 2 | 2 | 2 | 2 | 2 | 0 | 0 | 0 |
| 2 | 37 | 10 | 12 | 4 | 2 | 2 | 2 | 2 | 2 | 2 | 0 | 0 | 0 | ||
| 3 | 37 | 10 | 12 | 4 | 2 | 2 | 2 | 2 | 2 | 2 | 0 | 0 | 0 | ||
| 4 | 37 | 10 | 12 | 4 | 2 | 2 | 2 | 2 | 2 | 2 | 0 | 0 | 0 | ||
| 5 | 37 | 10 | 12 | 4 | 2 | 2 | 2 | 2 | 2 | 2 | 0 | 0 | 0 | ||
Identification of marker chromosomes in selected Brassica hybrids using 5S rDNA (red) and 35S rDNA (green) probes. (a) B. napus × B. rapa ssp. pekinensis genotype 2, (b) B. napus × B. rapa ssp. trilocularis genotype 2, (c) B. napus × B. rapa ssp. chinensis genotype 5, (d) B. napus × B. fruticulosa genotype 1, (e) B. napus × B. carinata genotype 4, (f) B. napus × B. juncea genotype 3. Scale bars represent 5 µm.
The first group of hybrids – B. napus × B. rapa ssp. pekinensis was invariable in the number of observed chromosomes: all five genotypes had 38 chromosomes. However, the studied hybrids differed in the number of detected rDNA signals. Two types of rDNA patterns were observed: 10 5S rDNA loci and 12 35S rDNA loci as well as 12 5S rDNA loci and 14 35S rDNA loci. In the first group, the following were observed: two A3 chromosomes, four A1 chromosomes, two A10 chromosomes, two chromosomes of the group A5/6/9, two C4 chromosomes, two C7 chromosomes and two C8 chromosomes. In the second group, a similar pattern of individual marker chromosomes was observed, except for A1 chromosomes the number of which was six.
All studied B. napus × B. rapa ssp. trilocularis genotypes had 38 chromosomes. Among tested hybrids, we observed two genotypes containing ten 5S rDNA signals and twelve 35S rDNA signals, which allowed to identify two A3 chromosomes, four A1 chromosomes, two A10 chromosomes, two A5/6/9 chromosomes and two C4 chromosomes, two C7 chromosomes and two C8 chromosomes. For three remaining genotypes, we revealed eleven 5S rDNA signals and thirteen 35S rDNA signals, which enabled us to recognize eleven chromosomes from the A genome – one additional A1 chromosome, and six chromosomes of the C type.
B. napus × B. rapa spp. chinensis hybrids did not vary in the total number of chromosomes. All five genotypes with 38 chromosomes had ten 5S rDNA loci, twelve 35S rDNA loci, and the same number of chromosome types: four A1 chromosomes and two chromosomes of each of A3, A10, A5/A6/A9, C4, C7, C8 chromosome types.
In the B. napus × B. fruticulosa group, a variable number of chromosomes was observed. Genotypes with 36 chromosomes predominated, but one genotype with 34 chromosomes was also observed. Two patterns of rDNA loci were detected in the group with 36 chromosomes: ten 5S rDNA loci and twelve 35S rDNA loci, as well as twelve 5S rDNA loci and thirteen 35S rDNA loci. In a genotype with 34 chromosomes, eight 5S rDNA loci and ten 35S rDNA loci were observed. A constant number of chromosomes was identified in all genotypes of a given combination: two A3 chromosomes, two A10 chromosomes, two A5/6/9 chromosomes, two C4 chromosomes, and two C8 chromosomes. A variable number of chromosomes was revealed for A1 type (two, four, and six chromosomes), and C7 type (one and two chromosomes).
For B. napus × B. carinata hybrids, the total number of chromosomes was consistent – 38 chromosomes were identified in all genotypes. The rDNA loci pattern was constant for all studied genotypes (ten 5S rDNA loci and twelve 35S rDNA loci). Moreover, the number of chromosomes observed was also the same for all individuals: four A1 chromosomes, two A3 chromosomes, two A10 chromosomes, two A5/A6/A9 chromosomes, two C4 chromosomes, two C7 chromosomes, and two C8 chromosomes. Genome B derived chromosomes were not detected.
A constant number of chromosomes of 37 chromosomes and a constant number of 5S and 35S rDNA loci, that is, 10 and 12 rDNA loci was identified in B. napus × B. juncea hybrids. The same number of individual types of marker chromosomes (carrying rDNA sequences) was observed in five genotypes: four A1 chromosomes, two A10 chromosomes, two A3 chromosomes, two chromosomes from the A5/6/9 group, two C4 chromosomes, two C7 chromosomes, and two C8 chromosomes. No chromosomes derived from the B genome were detected.
3.2 Resistance to L. maculans
Field evaluation was used to determine the level of resistance to blackleg of studied genotypes in three following years. The ANOVA analysis revealed that the effect of the combination, year, combination × year was statistically significant for infestation level (Table 3). Table 4 presents the mean values of infestation in three years for six analysed hybrid combinations. In general, the infestation level varied between studied combinations in 2018, 2019, and 2020, which allowed distinguishing groups of the most resistant (least infested) plants in each year. The highest level of infestation (16.866) was observed for B. napus × B. juncea combination in 2019 when the lowest level of L. maculans damage (0.00) was observed in 2019 and 2020 for B. napus × B. fruticulosa. Moreover, the latter combination belonged to the statistically best group in all three consecutive years.
Mean squares (ms) from analysis of variance for L. maculans infestation
| d.f.1 | ms | |
|---|---|---|
| Combination | 5 | 224.74*** |
| Year | 2 | 221.72*** |
| Combination × year | 10 | 57.27*** |
| Residual | 72 | 11.48 |
1Degrees of freedom ***P < 0.001.
Mean values and standard deviations (sd) for L. maculans infestation for combinations and years of study
| Year | 2018 | 2019 | 2020 | 2018–2020 | ||||
|---|---|---|---|---|---|---|---|---|
| Combination | Mean | sd | Mean | sd | Mean | sd | Mean | sd |
| B. napus × B. rapa ssp. pekinensis | 15.998a | 2.042 | 7.732bc | 4.037 | 7.866a | 2.233 | 10.532a | 4.825 |
| B. napus × B. rapa ssp. trilocularis | 7.93bc | 0.548 | 6.066cd | 1.361 | 5.132ab | 2.919 | 6.376b | 2.121 |
| B. napus × B. rapa ssp. chinensis | 12.866ab | 5.007 | 10.4b | 3.782 | 5.866a | 5.709 | 9.711a | 5.438 |
| B. napus × B. fruticulosa | 4.666c | 0.942 | 0e | 0 | 0c | 0 | 1.555c | 2.332 |
| B. napus × B. carinata | 3c | 3 | 3.666d | 1.248 | 0.532c | 0.728 | 2.399c | 2.262 |
| B. napus × B. juncea | 8.53bc | 8.556 | 16.866a | 3.639 | 2.132bc | 0.181 | 9.176a | 7.981 |
| Average | 8.832A | 6.017 | 7.455A | 5.974 | 3.588B | 3.885 | ||
| LSD0.05 | Combination: 2.466; year: 1.744; combination × year: 4.271 | |||||||
Values with different letters in columns are significantly different.
The infestation level was also compared between genotypes of certain combinations (Table 5). For this purpose, we calculated the mean values of infestation from three years for every genotype. For most studied individuals, no significant differences in infestation were observed, however for B. napus × B. fruticulosa we were able to distinguish three genotypes with higher resistance to blackleg (infestation level 1.33). From all analysed plants, B. napus × B. rapa ssp. pekinensis genotype number 5 showed the highest level of infestation (13.67), and the highest resistance (1.00) was noted for B. napus × B. carinata genotype number 2.
Mean values and standard deviations (sd) for L. maculans infestation for genotypes from particular combinations
| Genotype | B. napus × B. rapa ssp. Pekinensis | B. napus × B. rapa ssp. trilocularis | B. napus × B. rapa ssp. Chinensis | B. napus × B. fruticulosa | B. napus × B. carinata | B. napus × B. juncea | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Mean | sd | Mean | sd | Mean | sd | Mean | sd | Mean | sd | Mean | sd | |
| 1 | 7.33a | 5.292 | 6.887a | 1.709 | 9.777a | 6.621 | 1.33b | 2.309 | 2.11a | 2.009 | 11.22a | 7.728 |
| 2 | 8.55a | 5.983 | 5.443a | 2.693 | 10.443a | 9.894 | 1.78ab | 3.077 | 1a | 1.732 | 12.44a | 9.196 |
| 3 | 10.56a | 4.717 | 6.553a | 3.077 | 9.333a | 2.309 | 2.00a | 3.464 | 1.44a | 1.503 | 9.22a | 12.221 |
| 4 | 12.55a | 3.67 | 7.553a | 1.345 | 13.333a | 2.082 | 1.33b | 2.309 | 4.44a | 2.876 | 6.55a | 7.315 |
| 5 | 13.67a | 4.619 | 5.443a | 2.218 | 5.667a | 3.215 | 1.33b | 2.309 | 3a | 2.646 | 6.44a | 7.412 |
| LSD0.05 | 8.94 | 4.178 | 10.35 | 0.66 | 4.033 | 16.31 | ||||||
| F-ANOVA | 0.87 | 0.49 | 0.7 | 0.04 | 1.14 | 0.27 | ||||||
Values with different letters in columns are significantly different.
4 Discussion
Performed FISH analyses allowed to successfully distinguish parental chromosomes in hybrids genomes in most studied combinations. However, the recognition of B genome chromosomes was not accomplished. Hasterok et al. [26] used 5S and 25S rDNA probes to identify genomes of various Brassica species. This approach allowed to distinguish eight out of sixteen B genome chromosomes in B. nigra, as well as 20 out 36 chromosomes in B. juncea, including eight B genome chromosomes. In our study, B type chromosomes would be expected to appear in B. napus × B. carinata and B. napus × B. juncea combination, although such chromosomes have not been detected. This result can be explained simply by the absence of B genome derived chromosomes in analysed hybrids. However, it may be also elucidated by a great similarity in chromosome morphology between A, B, and C genomes, including rDNA-bearing chromosomes, which may consequently lead to misinterpretation of rDNA signals and incorrect recognition.
In this study, we observed a variation in the number of chromosomes for one combination – B. napus × B. fruticulosa, as well as the variation in the number of detected 5S and 35S rDNA signals between genotypes for three combinations. This might be explained by irregular chromosome segregation, conversion of genes, or unequal crossing-over events [27]. The greatest variation was observed for A1 chromosomes – for B. napus × B. rapa ssp. trilocularis their number varied from 4 to 5, for B. napus × B. rapa ssp. pekinensis – from 4 to 6, and for B. napus × B. fruticulosa – from 2 to 6. A study of Sosnowska et al. [23] on resynthesized B. napus also indicates the A1 chromosomes as the most variable in their number.
Thirty-seven chromosomes were observed in the genotypes resulting from the crossing of B. napus and B. juncea. An odd number of chromosomes can reduce plant fertility due to cytogenetic instability during meiosis (incorrect chromosome pairing). Nevertheless, it is in line with expectations, considering the number of chromosomes found in the parental components – B. napus (2n = 38) and B. juncea (2n = 36). In the B. napus (2n = 38) × B. carinata (2n = 34) combination, 38 chromosomes were observed for all genotypes. A higher number of chromosomes than expected may be due to disturbances during the meiotic division.
It is known that the genomes of allopolyploids undergo dynamic changes, which result in intergenomic rearrangements [28]. The polymorphism of rDNA sequences observed in this study might be caused by structural rearrangements. The occurrence of such events would not be surprising since considerable homology exists between A and C genome. Heneen et al. [29] observed pairing of homologous chromosomes of B. rapa and B. oleracea genomes in the monosomic alien addition lines, which confirms the close relationship of species. Translocations may also occur in B. napus genome [30,31].
Our research proved that Brassica species can be a good source of resistance to blackleg disease – especially the B. napus × B. fruticulosa genotypes, which showed a low and stable level of infestation in all three years of the study. Moreover, resistance genes may be successfully transferred to hybrid species, and possibly extend B. napus gene pool. As stated before, interspecific crossing can give rise to new enhanced rapeseed cultivars with improved characteristics [32]. Nevertheless, the use of relative species of rapeseed as a source of L. maculans resistance might be dangerous due to the possibility of rapid overcome of major gene resistance in various cruciferous hosts. This event has been described in a study by Li et al. [33], in which several Brassicaceae species have been analysed in terms of their response to inoculation by L. maculans isolates in Australia. The pathogen was able to overcome the resistance of most tested genotypes, which means that close attention and carefulness should be taken when introducing new sources of resistance to L. maculans into breeding programs.
L. maculans resistance has been identified in several Brassica species including A-genome, B-genome, C-genome, and AC-genome species [14]. It would be expected that lack or addition of certain chromosomes in studied hybrids influence the level of resistance to blackleg, however for most studied individuals such effect was not observed, as for five out of six combinations, no significant differences in resistance level between genotypes were noted. Detailed study of B. napus × B. fruticulosa combination, the only one with the statistically important variation of L. maculans resistance might give more information regarding the correlation of this trait with chromosomal structure. The most resistant genotypes of the aforementioned hybrid combination differed in the number of detected chromosomes and rDNA loci, two of them containing 36 chromosomes, and one containing 34 chromosomes. The latter was also characterized by a lower number of rDNA signals. The variable pattern of chromosomal structure detected in B. napus × B. fruticulosa genotypes might be connected to blackleg resistance, nevertheless, it should be taken into consideration that not all resistance-bearing chromosomes were identified in this study. Major L. maculans resistance genes have been mapped on four A-genome chromosomes: A1, A10, A7, and A2 [8]. The latter two, which contained six resistance genes were not a part of our FISH experiment. Additional detection of previously unrecognized chromosomes combined with continued resistance assessment could provide more information about the connection between chromosomal structure and blackleg resistance, and give deeper insight into Brassica hybrids' genomic composition.
5 Conclusion
The use of 5S rDNA and 35S rDNA probes allow to successfully identify parental genomes in chosen Brassica hybrid combinations.
The observed variable number of chromosomes and the number of 5S and 35S rDNA loci in the genomes of the Brassica hybrid plants may be due to transposition or deletion within the chromatin containing rDNA sequences, elimination of marker chromosomes during meiosis, or deletion or amplification of rDNA loci.
Selected Brassica hybrids can be a good source of L. maculans resistance in rapeseed breeding programs.
Three B. napus × B. fruticulosa genotypes with highest resistance to L. maculans varied in chromosome number and the number of detected rDNA loci. However, a more thorough study, including the detection of all A genome chromosomes, is required.
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Funding information: This research was funded by the Polish Ministry of Agriculture and Rural Development, project number 54.
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Author contributions: Conceptualization – J.N., J.S.; methodology – J.S., J.N., J.M.; software – J.B.; validation – J.S., J.N., J.M.; formal analysis – J.N., J.S., J.K., J.M.; investigation – J.N., J.K.; resources – J.N.; data curation – J.S., J.N., J.B.; original draft preparation – J.S., J.N.; review and editing – J.S., J.N., J.K., J.M., J.B.; visualization – J.M., J.B.; supervision – J.S., J.N., J.K., J.M.; project administration – J.N.; funding acquisition – J.N. All authors have read and approved the manuscript.
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Conflict of interest: Authors state no conflict of interest.
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Data availability statement: The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.
References
[1] Kole C, editor. Wild crop relatives: genomic and breeding resources. Oilseeds. Berlin Heidelberg, Germany: Springer-Verlag; 2011. p. 295, ISBN 978-3-642-14870-5.10.1007/978-3-642-14871-2Search in Google Scholar
[2] Wang R, Ripley VL, Rakow G. Pod shatter resistance evaluation in cultivars and breeding lines of Brassica napus, B. juncea and Sinapis alba. Plant Breed. 2007;126(6):588–95.10.1111/j.1439-0523.2007.01382.xSearch in Google Scholar
[3] Leflon M, Brun H, Eber F, Delourme R, Lucas MO, Vallée P, et al. Detection, introgression and localization of genes conferring specific resistance to Leptosphaeria maculans from Brassica rapa into B. napus. Theor Appl Genet. 2007;115(7):897–906.10.1007/s00122-007-0616-zSearch in Google Scholar
[4] United States Department of Agriculture Foreign Agricultural Service. Oilseeds: World Markets and Trade; 2021.Search in Google Scholar
[5] Fitt BD, Hu BC, Li ZQ, Liu SY, Lange RM, Kharbanda PD, et al. Strategies to prevent spread of Leptosphaeria maculans (phoma stem canker) onto oilseed rape crops in China; costs and benefits. Plant Pathol. 2008;57(4):652–64.10.1111/j.1365-3059.2008.01841.xSearch in Google Scholar
[6] Fernando WGD, Chen Y, Ghanbarnia K. Breeding for blackleg resistance: the biology and epidemiology. Adv Botanical Res. 2007;45:271–311.10.1016/S0065-2296(07)45010-8Search in Google Scholar
[7] Marcroft SJ, Elliott VL, Cozijnsen AJ, Salisbury PA, Howlett BJ, Van, et al. Identifying resistance genes to Leptosphaeria maculans in Australian Brassica napus cultivars based on reactions to isolates with known avirulence genotypes. Crop Pasture Sci. 2012;63(4):338–50.10.1071/CP11341Search in Google Scholar
[8] Neik TX, Barbetti MJ, Batley J. Current status and challenges in identifying disease resistance genes in Brassica napus. Front Plant Sci. 2017;8:1788.10.3389/fpls.2017.01788Search in Google Scholar PubMed PubMed Central
[9] Zhang X, Peng G, Kutcher HR, Balesdent MH, Delourme R, Fernando WD. Breakdown of Rlm3 resistance in the Brassica napus–Leptosphaeria maculans pathosystem in western Canada. Eur J Plant Pathol. 2016;145(3):659–74.10.1007/s10658-015-0819-0Search in Google Scholar
[10] Van de Wouw AP, Marcroft SJ, Ware A, Lindbeck K, Khangura R, Howlett BJ. Breakdown of resistance to the fungal disease, blackleg, is averted in commercial canola (Brassica napus) crops in Australia. Field Crop Res. 2014;166:144–51.10.1016/j.fcr.2014.06.023Search in Google Scholar
[11] Chen CY, Séguin-Swartz G. Reaction of wild crucifers to Leptosphaeria maculans, the causal agent of blackleg of crucifers. Can J Plant Pathol. 1999;21(4):361–7.10.1080/07060669909501172Search in Google Scholar
[12] Siemens J. Interspecific hybridisation between wild relatives and Brassica napus to introduce new resistance traits into the oilseed rape gene pool. Czech J Genet Plant Breed. 2002;38(3/4):155–7.10.17221/6258-CJGPBSearch in Google Scholar
[13] Rimmer SR, Van den Berg CGJ. Resistance of oilseed Brassica spp. to blackleg caused by Leptosphaeria maculans. Can J Plant Pathol. 1992;14(1):56–66.10.1080/07060669209500906Search in Google Scholar
[14] Yu F, Lydiate DJ, Gugel RK, Sharpe AG, Rimmer SR. Introgression of Brassica rapa subsp. sylvestris blackleg resistance into B. napus. Mol Breed. 2012;30(3):1495–506.10.1007/s11032-012-9735-6Search in Google Scholar
[15] Niemann J, Kaczmarek J, Wojciechowski A, Jędryczka M. Resistance to stem canker (Leptosphaeria spp.) in interspecific Brassica hybrids/Odporność mieszańców międzygatunkowych rodzaju Brassica na suchą zgniliznę kapustnych (Leptosphaeria spp.). Prog Plant Prot. 2016;56(2):245–50.Search in Google Scholar
[16] Gaebelein R, Alnajar D, Koopmann B, Mason AS. Hybrids between Brassica napus and B. nigra show frequent pairing between the B and A/C genomes and resistance to blackleg. Chromosome Res. 2019;27(3):221–36.10.1007/s10577-019-09612-2Search in Google Scholar PubMed
[17] Rahman MH, Hawkins G, Avery M, Thiagarajah MR, Sharpe AG, Lange RM et al. Introgression of blackleg (Leptosphaeria maculans) resistance into Brassica napus from B. carinata and identification of microsatellite (SSR) markers. Proceedings of the 12th International Rapeseed Congress, Wuhan, China, March 26–30 2007. Vol. 4. USA: Science Press, USA Inc. Monmouth Junction; 2007. p. 47–50.Search in Google Scholar
[18] Lim KY, Matyasek R, Lichtenstein CP, Leitch AR. Molecular cytogenetic analyses and phylogenetic studies in the Nicotiana section Tomentosae. Chromosoma. 2000;109:245–58.10.1007/s004120000074Search in Google Scholar PubMed
[19] Kosmala A, Zwierzykowski Z, Gasior D, Rapacz M, Zwierzykowska E, Humphreys MW. GISH/FISH mapping of genes for freezing tolerance transferred from Festuca pratensis to Lolium multiflorum. Heredity. 2006;96:243–51.10.1038/sj.hdy.6800787Search in Google Scholar PubMed
[20] Majka J, Zwierzykowski Z, Majka M, Kosmala A. Karyotype reshufflings of Festuca pratensis × Lolium perenne hybrids. Protoplasma. 2018;255:451–8. 10.1007/s00709-017-1161-5.Search in Google Scholar PubMed PubMed Central
[21] Majka J, Majka M, Kwiatek M, Wisniewska H. Similarities and differences in the nuclear genome organization within Pooideae species revealed by comparative genomic in situ hybridization (GISH). J Appl Genet. 2017;58(2):151–61.10.1007/s13353-016-0369-ySearch in Google Scholar PubMed PubMed Central
[22] Hasterok R, Wolny E, Hosiawa M, Kowalczyk M, Kulak-Książczyk S, Książczyk T, et al. Comparative Analysis of rDNA distribution in chromosomes of various species of brassicaceae. Ann Botany. 2006;97:205–16.10.1093/aob/mcj031Search in Google Scholar PubMed PubMed Central
[23] Sosnowska K, Majka M, Majka J, Bocianowski J, Kasprowicz M, Książczyk T, et al. Chromosome instabilities in resynthesized Brassica napus revealed by FISH. J Appl Genet. 2020;61(3):323–35.10.1007/s13353-020-00557-5Search in Google Scholar PubMed PubMed Central
[24] Xiong Z, Pires JC. Karyotype and identification of all homoeologous chromosomes of allopolyploid Brassica napus and its diploid progenitors. Genetics. 2011;187(1):37–49.10.1534/genetics.110.122473Search in Google Scholar PubMed PubMed Central
[25] Shapiro SS, Wilk MB. An analysis of variance test for normality (complete samples). Biometrika. 1965;52:591–611.10.1093/biomet/52.3-4.591Search in Google Scholar
[26] Hasterok R, Jenkins G, Langdon T, Jones RN, Maluszynska J. DNA ribosomal is an effective marker of Brassica chromosomes. Theor Appl Genet. 2001;103(4):486–90.10.1007/s001220100653Search in Google Scholar
[27] Kamiński P, Marasek-Ciolakowska A, Podwyszyńska M, Starzycki M, Starzycka-Korbas E, Nowak K. Development and characteristics of interspecific hybrids between Brassica oleracea L. and B. napus L. Agronomy. 2020;10(9):1339.10.3390/agronomy10091339Search in Google Scholar
[28] Gaeta RT, Pires JC. Homoeologous recombination in allopolyploids: the polyploid ratchet. N Phytologist. 2010;186(1):18–28.10.1111/j.1469-8137.2009.03089.xSearch in Google Scholar PubMed
[29] Heneen WK, Geleta M, Brismar K, Xiong Z, Pires JC, Hasterok R, et al. Seed colour loci, homoeology and linkage groups of the C genome chromosomes revealed in Brassica rapa–B. oleracea monosomic alien addition lines. Ann Botany. 2012;109(7):1227–42.10.1093/aob/mcs052Search in Google Scholar PubMed PubMed Central
[30] Howell EC, Kearsey MJ, Jones GH, King GJ, Armstrong SJ. A and C genome distinction and chromosome identification in Brassica napus by sequential fluorescence in situ hybridization and genomic in situ hybridization. Genetics. 2008;180(4):1849–57.10.1534/genetics.108.095893Search in Google Scholar PubMed PubMed Central
[31] Szadkowski E, Eber F, Huteau V, Lode M, Coriton O, Jenczewski E, et al. Polyploid formation pathways have an impact on genetic rearrangements in resynthesized Brassica napus. N Phytol. 2011;191(3):884–94.10.1111/j.1469-8137.2011.03729.xSearch in Google Scholar PubMed
[32] Katche E, Quezada-Martinez D, Katche EI, Vasquez-Teuber P, Mason AS. Interspecific hybridization for Brassica crop improvement. Crop Breed Genet Genom. 2019;1(1):e190007.Search in Google Scholar
[33] Li H, Barbetti MJ, Sivasithamparam K. Hazard from reliance on cruciferous hosts as sources of major gene-based resistance for managing blackleg (Leptosphaeria maculans) disease. Field Crop Res. 2005;91(2–3):185–98.10.1016/j.fcr.2004.06.006Search in Google Scholar
© 2022 Justyna Szwarc et al., published by De Gruyter
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