Outline
Comptes Rendus

Molecular biology and genetics/Biologie et génétique moléculaires
Genetic diversity and population structure of Brassica oleracea germplasm in Ireland using SSR markers
Comptes Rendus. Biologies, Volume 339 (2016) no. 3-4, pp. 133-140.

Abstract

The most economically important Brassica oleracea species is endangered in Ireland, with no prior reported genetic characterization studies. This study assesses the genetic diversity, population structure and relationships of B. oleracea germplasm in Ireland using microsatellite (SSRs) markers. A total of 118 individuals from 25 accessions of Irish B. oleracea were genotyped. The SSR loci used revealed a total of 47 alleles. The observed heterozygosity (0.699) was higher than the expected one (0.417). Moreover, the average values of fixation indices (F) were negative, indicating excess of heterozygotes in all accessions. Polymorphic information content (PIC) values of SSR loci ranged from 0.27 to 0.66, with an average of 0.571, and classified 10 loci as informative markers (PIC > 0.5) to differentiate among the accessions studied. The genetic differentiation among accessions showed that 27.1% of the total genetic variation was found among accessions, and 72.9% of the variation resided within accessions. The averages of total heterozygosity (HT) and intra-accession genetic diversity (HS) were 0.577 and 0.442, respectively. Cluster analysis of SSR data distinguished among kale and Brussels sprouts cultivars. This study provided a new insight into the exploitation of the genetically diverse spring cabbages accessions, revealing a high genetic variation, as potential resources for future breeding programs. SSR loci were effective for differentiation among the accessions studied.

Metadata
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Accepted:
Published online:
DOI: 10.1016/j.crvi.2016.02.002
Keywords: Brassica oleracea, Genetic diversity, Population structure, Relationships, SSR markers

Mohamed A. El-Esawi 1, 2; Kieran Germaine 3; Paula Bourke 1; Renee Malone 1

1 School of Food Science and Environmental Health, College of Sciences, Dublin Institute of Technology (DIT), Dublin, Ireland
2 Botany Department, Faculty of Science, Tanta University, Tanta, Egypt
3 Department of Science and Health, Institute of Technology, Carlow, Ireland
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     author = {Mohamed A. El-Esawi and Kieran Germaine and Paula Bourke and Renee Malone},
     title = {Genetic diversity and population structure of {\protect\emph{Brassica} oleracea} germplasm in {Ireland} using {SSR} markers},
     journal = {Comptes Rendus. Biologies},
     pages = {133--140},
     publisher = {Elsevier},
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Mohamed A. El-Esawi; Kieran Germaine; Paula Bourke; Renee Malone. Genetic diversity and population structure of Brassica oleracea germplasm in Ireland using SSR markers. Comptes Rendus. Biologies, Volume 339 (2016) no. 3-4, pp. 133-140. doi : 10.1016/j.crvi.2016.02.002. https://comptes-rendus.academie-sciences.fr/biologies/articles/10.1016/j.crvi.2016.02.002/

Original version of the full text

1 Introduction

The genus Brassica L., belonging to the family Brassicaceae, contains six economically important species cultivated worldwide [1]. These species are Boleracea, Brapa, Bnigra, Bnapus, Bjuncea, and Bcarinata. Boleracea L. is an important vegetable crop species, including many economic cultivars called cole crops [2]. The cole crops include cauliflower (Boleracea subsp. botrytis), cabbage (Boleracea subspecies capitata), Brussels sprout (Boleracea subsp. gemmifera), kale and collards (Boleracea subsp. acephala), broccoli (Boleracea subsp. italica), and kohlrabi (Boleracea subsp. gongylodes). The evaluation of genetic diversity within crop species is vital for establishing efficient conservation and breeding practices [3–7] in order to develop new and more productive crops that are resistant to diseases and adapted to changing environments.

Many studies have assessed the genetic diversity and relationships of Brassica species worldwide [8–12]. However, there are no reported molecular genetic studies to our knowledge on the endangered Boleracea species in Ireland that requires a long-term commitment to ensure that important endangered genetic resources are conserved and that existing collections are properly characterised, stored and maintained either in situ or ex situ as appropriate [13]. Those endangered Boleracea germplasms have been collected from different locations throughout Ireland in 1980s, and maintained at the Horticultural Research Institute (HRI) in the United Kingdom. Their use is still very limited due to the lack of genetic characterisation and poor phylogenetic studies [13]. Therefore, our novel current study aimed to evaluate the genetic variation and relationships of a core collection of those endangered Irish Boleracea genetic resources in order to improve their utilisation and conservation strategies.

Molecular markers proved to be powerful tools for evaluating genetic variation and relationships in plant species. Among these are simple sequence repeats (SSRs), alternatively known as microsatellite markers, which have been successfully used for assessing the genetic variability and distinguishing among closely related Brassica genotypes [8–12,14,15], because of their codominance, high polymorphism and ability to reveal a high number of alleles for each locus, resulting in a high degree of variability and reproducibility [16].

Leroy et al. [14] used four microsatellite primers to characterise Boleracea accessions. Among the 136 reproducible fragments generated, 25 (18.4%) fragments were common for all Brassica, 27 (19.9%) were unique, and 84 (61.7%) were phylogenetically informative. Flannery et al. [15] assessed polymorphisms in Brassica, Arabidopsis, Camelina, Raphanus and Sinapis using 10 plastid SSR primer sets. Eight loci were polymorphic, and separated the individuals of Brassicaceae into taxon-specific groups (Arabidopsis, Camelina, Sinapis and Brassica genera). Louarn et al. [8] also evaluated 59 Boleracea cultivars for microsatellite polymorphisms. All SSR markers, except one, produced a polymorphic information content (PIC value) of 0.5 or above. Ofori et al. [9] evaluated the genetic diversity in European winter Brapa using microsatellie markers, and found that the majority of genetic variation (83%) resided within cultivars. Furthermore, Moghaddam et al. [10] studied the genetic variability among 32 rapeseed cultivars based on SSRs markers, and reported that the polymorphic information content (PIC) of SSRs loci varied from 0.60 to 0.91. All of these studies confirmed that microsatellite markers are very useful for assessing genetic diversity and relationships in Brassica species. Therefore, this current study aimed to evaluate the genetic diversity and phylogenetic relationships in the endangered Boleracea cultivars in Ireland using microsatellite markers.

2 Material and methods

2.1 Plant material

Twenty-five accessions of Irish Boleracea were obtained from the germplasm collection maintained at the Horticultural Research Institute (HRI), Wellesbourne, United Kingdom (Table 1). These accessions were selected based on their sampling site covering a diverse geographical range of Ireland. The accessions represented 4 subspecies within Boleracea species (Boleracea capitata, Boleracea acephala, Boleracea botrytis and Boleracea gemmifera).

Table 1

Accession numbers, crop names, and collection sites of the accessions of Brassica oleracea studied.

Table 1
No. Accession number Subspecies Accession name Crop name Geographical origin
1 HRIGRU 4502 Brassica oleracea acephala Marrow Stem Fodder kale Kildare
2 HRIGRU 4503 Brassica oleracea acephala Thousand Head Fodder kale Kildare
3 HRIGRU 7229 Brassica oleracea acephala Cut and Come Again Kale Tipperary
4 HRIGRU 7556 Brassica oleracea acephala Cut and Come Again Kale Cork
5 HRIGRU 7227 Brassica oleracea acephala Raggedy Jack Kale Sligo
6 HRIGRU 4492 Brassica oleracea botrytis Winter Roscoff Winter cauliflower Dublin
7 HRIGRU 4565 Brassica oleracea botrytis Winter cauliflower Cork
8 HRIGRU 4495 Brassica oleracea botrytis Winter Roscoff Winter cauliflower Ballykea
9 HRIGRU 4579 Brassica oleracea capitata Flat Dutch Cattle cabbage Donegal
10 HRIGRU 4561 Brassica oleracea capitata Flat Dutch Cattle cabbage Galway
11 HRIGRU 4508 Brassica oleracea capitata Flat Dutch Cattle cabbage Ballina
12 HRIGRU 4506 Brassica oleracea capitata Flat Dutch Cattle cabbage Ballinrobe
13 HRIGRU 4585 Brassica oleracea capitata Flat Dutch Common cabbage Donegal
14 HRIGRU 4586 Brassica oleracea capitata Flat Dutch Common cabbage Mayo
15 HRIGRU 4497 Brassica oleracea capitata Flat Dutch Cabbage Roscommon
16 HRIGRU 4498 Brassica oleracea capitata Flat Dutch Cabbage Roscommon
17 HRIGRU 4588 Brassica oleracea capitata Flat Dutch Cabbage Donegal
18 HRIGRU 5915 Brassica oleracea capitata Flat Dutch Cabbage Limerick
19 HRIGRU12532 Brassica oleracea capitata Delaway Cabbage Cabbage Mayo
20 HRIGRU 4566 Brassica oleracea capitata Spring cabbage Cork
21 HRIGRU 4564 Brassica oleracea capitata Spring cabbage Cork
22 HRIGRU 4571 Brassica oleracea capitata Spring cabbage Cork
23 HRIGRU 5914 Brassica oleracea capitata Spring Greens Spring cabbage Limerick
24 HRIGRU 4491 Brassica oleracea gemmifera Brussels sprout Dublin
25 HRIGRU 4494 Brassica oleracea gemmifera Brussels sprout Dublin

2.2 DNA extraction

Genomic DNA was isolated from 3-week-old leaf tissue using DNeasy Plant Mini Kit (Qiagen, United Kingdom), following the procedures described by manufacturers. Three to five DNA samples were prepared from each of the 25 accessions studied and were subjected to SSRs analysis.

2.3 SSRs analysis

Initially, a set of 17 SSR primer sets specific to Brassica chromosomes were selected based on the analysis of the relevant literature [11,12,17,18] and were screened for polymorphisms using three different cabbage accessions. Following screening, 12 primer sets revealed polymorphism and were used to analyse all the accessions (Table 2).

Table 2

SSR primer sets, number and size of alleles amplified in the 25 accessions of Brassica oleracea studied.

Table 2
SSR primer sets (loci) Sequences Size range (bp) Total number of alleles Number of unique alleles
Ol10-A03a F: CTGGTTTTCTCCTTCATCAG
R: CTGTGTAGCTTTTAGTCTTT
50–160 5 0
Ol10-F11a F: TTTGGAACGTCCGTAGAAGG
R: CAGCTGACTTCGAAAGGTCC
64–240 5 1
Ol10-H02 F: AACAGGAAGAAACGACGAGG
R: AGAGAGCCATGAGAAGCACC
98–260 4 0
Ol11-G11 F: GTTGCGGGCGAAACAGAGAAG
R: GAGTAGGCGATCAAACCGAG
70–210 4 0
Ol11-H02 F: TCTTCAGGGTTTCCAACGAC
R: AGGCTCCTTCATTTGATCCC
96–250 4 2
Ol12-E03 F: CTTGAAGAGCTTCCGACACC
R: GACGGCTAACAGTGGTGGAC
160–190 2 0
Ol12-F11 F: AAGGACTCATCGTGCAATCC
R: GTGTCAGTGGCTACAGAGAC
100–276 4 1
Ol13-C12 F: AGAGGCCAACAAAGAACACC
R: GAAGCAGCACCAGTGACAAG
84–196 3 0
Ra2-E03 F: AGGTAGGCCCATCTCTCTCC
R: CCAAAACTTGCTCAAAACCC
110–245 5 0
Ra2-E11 F: GGAGCCAGGAGAGAAGAAGG
R: CCCAAAACTTCCAAGAAAAGC
74–208 3 0
Na12-C08 F: GCAAACGATTTGTTTACCCG
R: CGTGTAGGGTGATCTATGATGGG
68–190 4 0
Na14-C12 F: CACATTTTGGTTCAATTCGG
R: TACGACCTGGTTTCGATTC
92–198 4 0

The PCR reactions were performed in a final volume of 25 μL containing 2 μL of genomic DNA (25 ng/μL), 1.5 μL of forward primer (50 ng/μL), 1.5 μL of reverse primer (50 ng/μL), 12.5 μL of GoTaq® green master mixture and 7.5 μL of water (nuclease free). The same reaction mixture without genomic DNA was set up to serve as a negative control. The PCR reactions were then amplified in a DNA thermocycler (G-Storm GS1 thermal cycler, GRI Ltd., Gene House, Essex, United Kingdom) programmed as follows: (1) 94 °C for 2 min (initial denaturation); (2) 94 °C for 1 min (denaturation), (3) 54 °C for 1 min (annealing), 72 °C for 1 min (extension) per 35 cycles; (4) 72 °C for 20 min (final extension), then 4 °C (infinitive). The amplified PCR products were resolved on 2% (w/v) agarose gels stained with ethidium bromide. A 50 bp DNA ladder was used as a DNA molecular size standard. Bands were detected and photographed using a UVP gel documentation system (Ultra-Violet Products Ltd., Cambridge, United Kingdom).

2.4 Data analysis

Because of the codominance of the markers, microsatellites were scored as homozygotic and heterozygotic genotypes. The SSR data were analysed using GelCompar II version 6.0 Applied Maths, GenAlEx version 6 [19] and POPGENE version 1.31 software packages. The dendrogram was constructed based on Nei's genetic distance using UPGMA [20]. The partitioning of total genetic diversity into within- and among accession components was examined using Nei's [20,21] genetic diversity statistics. The polymorphic information content (PIC) of each SSR marker was also calculated using the following formula:

PICi=1j=1nPij2
where PICi is the polymorphic information content of a marker I, and Pij is the frequency of the jth pattern for marker I, and the summation extends over n patterns.

3 Results

3.1 SSR markers and alleles scored

The 12 nuclear SSR markers used in this study were single-locus and polymorphic. These SSR primer pairs (loci) revealed a total of 47 alleles (Table 2). The alleles generated ranged in size from 50 to 276 bp. The number of alleles amplified by each primer pair (locus) varied from 2 to 5, with an average value of 3.92 alleles per locus. The primer pair Ol12-E03 amplified the lowest number of alleles (2), with sizes ranging from 160 to 190 bp. The primer pairs Ol10-A03a, Ol10-F11a and Ra2-E03 amplified the highest number of alleles (5), with sizes ranging from 50 to 160 bp, 64 to 240 bp and 110 to 245 bp, respectively. A total of 4 unique alleles were detected at 3 SSR loci. The accession of winter cauliflower HRIGRU4495 had a unique allele with a size of 220 bp at locus Ol12-F11 (Table 2), whereas the accession of kale HRIGRU7227 had 3 unique alleles with sizes of 240 bp, 210 bp and 248 bp at the loci Ol10-F11a and Ol11-H02, respectively (Table 2).

3.2 Genetic diversity and accession-level homozygosity

As shown in Table 3, the observed heterozygosity (Ho) varied from 0.467 in the accession of spring cabbage HRIGRU4571 to 0.80 in the accessions of kale HRIGRU7227, cauliflowers HRIGRU4492 and HRIGRU4495, cattle cabbage HRIGRU4508, cabbages HRIGRU4588 and HRIGRU5915, and spring cabbage HRIGRU5914, with an average of 0.699. The expected heterozygosity (He) ranged from 0.333 in the accessions of cauliflower HRIGRU4565 and cabbage HRIGRU4497 to 0.556 in the accession of spring cabbage HRIGRU4566, with an average of 0.417. Moreover, the effective number of alleles per locus (Ae) varied from 1.597 in the accession of cabbage HRIGRU4497 to 2.394 in the accession of spring cabbage HRIGRU4566, with a mean of 1.906 (Table 3). The mean number of alleles per locus (A) ranged from 1.8 to 2.8 with an average of 2.096. These results indicated that the SSR loci in Boleracea accessions analysed presented uneven allele frequencies (Ae = 1.906). The average fixation indices values (F) were lower than zero for all accessions studied (Table 3). These negative values indicated an excess of heterozygotes.

Table 3

Sample sizes, estimates of genetic diversity, and average fixation index (F) in the 25 accessions of Brassica oleracea studied.

Table 3
Accession number H o H e A A e F
Fodder kale HRIGRU 4502 0.733 0.433 2.2 1.989 –0.693
Fodder kale HRIGRU 4503 0.667 0.422 2.4 1.914 –0.581
Kale HRIGRU 7229 0.600 0.389 2.2 1.760 –0.542
Kale HRIGRU 7556 0.667 0.378 1.8 1.720 –0.765
Kale HRIGRU 7227 0.800 0.422 2.0 1.914 –0.896
Cauliflower HRIGRU 4492 0.800 0.467 2.4 2.143 –0.713
Cauliflower HRIGRU 4565 0.533 0.333 2.0 1.789 –0.601
Cauliflower HRIGRU 4495 0.800 0.400 1.8 1.800 –1.000
Cattle cabbage HRIGRU 4579 0.733 0.456 2.2 2.114 –0.607
Cattle cabbage HRIGRU 4561 0.733 0.411 2.0 1.874 –0.783
Cattle cabbage HRIGRU 4508 0.800 0.444 2.2 2.029 –0.802
Cattle cabbage HRIGRU 4506 0.667 0.378 1.8 1.720 –0.765
Common cabbage HRIGRU 4585 0.733 0.422 2.2 1.914 –0.737
Common cabbage HRIGRU 4586 0.733 0.389 1.8 1.760 –0.884
Cabbage HRIGRU 4497 0.533 0.333 1.8 1.597 –0.601
Cabbage HRIGRU 4498 0.667 0.378 2.0 1.791 –0.765
Cabbage HRIGRU 4588 0.800 0.400 1.8 1.800 –1.000
Cabbage HRIGRU 5915 0.800 0.422 2.0 1.914 –0.896
Cabbage HRIGRU 12532 0.600 0.433 2.2 1.989 –0.386
Spring cabbage HRIGRU 4566 0.667 0.556 2.8 2.394 –0.199
Spring cabbage HRIGRU 4564 0.667 0.456 2.4 2.103 –0.463
Spring cabbage HRIGRU 4571 0.467 0.344 1.8 1.637 –0.358
Spring cabbage HRIGRU 5914 0.800 0.400 1.8 1.800 –1.000
Brussels sprout HRIGRU 4491 0.733 0.544 2.6 2.263 –0.347
Brussels sprout HRIGRU 4494 0.733 0.422 2.2 1.914 –0.737
Mean ± standard deviation 0.699 ± 0.094 0.417 ± 0.054 2.096 ± 0.278 1.906 ± 0.191 –0.676 ± 0.216

Table 4 shows the estimates of genetic diversity at the level of each subspecies analysed in this study. In Boleracea capitata (cabbages), the values of observed and expected heterozygosity were 0.693 and 0.548, respectively, whereas the inter-accession genetic differentiation as measured by Fst showed that 24.3% of the total genetic variation was found among accessions of Boleracea capitata (cabbages) and 75.7% of the variation resided within these accessions. In Boleracea botrytis (cauliflowers), the values of observed and expected heterozygosity were 0.689 and 0.446, respectively, whereas the inter-accession genetic differentiation showed that 11.1% of the total genetic variation was found among accessions of Boleracea botrytis, and 88.9% of the variation resided within them. Moreover, in Boleracea acephala (kales), the values of observed and expected heterozygosity were 0.693 and 0.459, respectively, and the inter-accession genetic differentiation showed that 11% of the total genetic variation was found among accessions of Boleracea acephala (kales), and 89% of the variation resided within them. In Boleracea gemmifera (sprouts), the values of observed and expected heterozygosity were 0.733 and 0.536, respectively, whereas the inter-accession genetic differentiation showed that 9.8% of the total genetic variation was found among accessions of Boleracea gemmifera, and 90.2% of the microsatellites variation resided within them (Table 4).

Table 4

Estimates of genetic diversity in the subspecies of Brassica oleracea studied based on SSR data.

Table 4
Subspecies The observed heterozygosity (Ho) The expected heterozygosity (He) The inter-accession genetic differentiation (FST)
Bo. capitata (cabbages) 0.693 0.548 0.243
Bo. botrytis (cauliflowers) 0.689 0.446 0.111
Bo. acephala (kales) 0.693 0.459 0.110
Bo. gemmifera (sprouts) 0.733 0.536 0.098

3.3 Genetic structure and gene flow

The 12 SSR loci selected were statistically significant (P < 0.001) for discriminating among the 25 accessions studied (Table 5). The polymorphic information content (PIC) values based on SSR markers ranged from 0.27 (locus Ol12-E03) to 0.66 (locus Ol10-A03a) with an average of 0.571. The SSR marker Ol10-A03a had the highest PIC value, which was expected as it produced the highest number of alleles.

Table 5

F-statistics, Nei's [21] genetic diversity indices, polymorphic information content, and estimates of inter-accession gene flow.

Table 5
SSR primer loci F-statistics Nei's genetic diversity indices PIC Nmw χ 2 P
F IS F IT F ST H T H S D ST
Ol10-A03a –0.545 –0.209 0.215 0.662 0.517 0.145 0.66 0.900 52.57 0.000*
Ol10-F11a –0.684 –0.320 0.214 0.647 0.507 0.140 0.65 0.906 32.25 0.0004*
Ol10-H02 –0.850 –0.588 0.142 0.588 0.505 0.084 0.59 0.514 56.85 0.000*
Ol11-G11 –0.681 –0.319 0.214 0.642 0.504 0.138 0.62 0.900 32.04 0.000*
Ol11-H02 –0.544 –0.208 0.217 0.661 0.516 0.145 0.65 0.601 52.50 0.000*
Ol12-E03 1.000 1.000 0.632 0.267 0.098 0.169 0.27 0.145 77.84 0.000*
Ol12-F11 –0.736 –0.489 0.142 0.609 0.523 0.087 0.61 0.709 51.17 0.000*
Ol13-C12 –0.682 –0.318 0.212 0.640 0.503 0.136 0.62 0.905 31.50 0.0000*
Ra2-E03 –0.543 –0.207 0.217 0.662 0.517 0.145 0.65 0.600 52.57 0.000*
Ra2-E11 1.000 1.000 0.633 0.269 0.099 0.170 0.28 0.144 77.80 0.000*
Na12-C08 –0.680 –0.317 0.212 0.642 0.504 0.138 0.63 0.902 30.15 0.000*
Na14-C12 –0.544 –0.208 0.216 0.660 0.516 0.144 0.65 0.903 50.42 0.000*
Mean ± standard deviation –0.374 ± 0.649 –0.100 ± 0.526 0.271 ± 0.170 0.577 ± 0.147 0.442 ± 0.161 0.137 ± 0.026 0.571 ± 0.145 0.676 ± 0.288 49.81 ± 16.49 0.0001*

* Significant at P < 0.001

F-statistics revealed varying fixation indices among the loci (Table 5). The estimates of fixation indices (Fis) revealed 10 SSR loci (Ol10-A03a, Ol10-F11a, Ol10-H02, Ol11-G11, Ol11-H02, Ol12-F11, Ol13-C12, Ra2-E03, Na12-C08 and Na14-C12) with heterozygotes excess, as indicated by the negative average values of fixation indices. The two loci Ol12-E03 and Ra2-E11 exhibited heterozygote deficiency. The Fis values calculated ranged from –0.850 at locus Ol10-H02 to 1.0 at loci Ol12-E03 and Ra2-E11, with an average of –0.374. Moreover, the mean inbreeding coefficient (Fit) values of all accessions ranged from –0.588 at locus Ol10-H02 to 1.0 at loci Ol12-E03 and Ra2-E11, with an average of –0.1. The inter-accession genetic differentiation (Fst) ranged from 0.142 to 0.633 with an average of 0.271.

The estimates of accessions genetic structure using Nei's [21] genetic diversity statistics are shown in Table 5. The level and distribution of genetic variation and heterozygosity were estimated. The averages of total heterozygosity (HT) and intra-accession genetic diversity (HS) were 0.577 and 0.442, respectively. Moreover, the inter-accession genetic diversity (DST) varied from 0.084 to 0.170, with an average of 0.137. The number of migrants per generation based on Wright's equation (Nmw) was 0.676 (Table 5).

3.4 Cluster analysis

The dendrogram constructed based on Nei's [20] genetic distance using UPGMA showed the relationships among the 25 accessions of Boleracea studied (Fig. 1). It revealed two major groups. The first group included two distinct clusters; the first cluster contained the two accessions of Brussels sprout, whereas the second one included the two accessions of spring cabbage (HRIGRU4571 and HRIGRU4564). The second group splits into three subgroups; the first one contained the accession of winter cauliflower HRIGRU4565, whereas the second one included all the accessions of kales. The four accessions of cattle cabbage formed a distinct cluster in the third subgroup. The two accessions of winter cauliflower HRIGRU4492 and 4495 and all remaining accessions of cabbages were distributed among different clusters within the third subgroup (Fig. 1).

Fig. 1

UPGMA dendrogram based on Nei's [20] genetic distance, showing the relationship among 25 accessions of Brassica oleracea based on SSR data.

4 Discussion

Molecular characterization of plant genetic diversity and relationships using microsatellite markers is promising because of their codominance and ability to reveal a high number of alleles per polymorphic locus. This is the first comprehensive study that assesses genetic diversity, population structure, and relationships in Irish Boleracea species using the powerful microsatellite technique. The 12 SSR loci used in this study were significantly polymorphic and useful for differentiation among the accessions studied. These results were in agreement with that reported by Raybould et al. [22] who revealed that all microsatellite loci were polymorphic, and displayed significant spatial differentiation of genetic variation in Boleracea. Moreover, the 12 SSR loci revealed a total of 47 alleles with an average value of 3.92 alleles per locus. This average value was higher than that reported by Cui et al. [23] for Brapa (2.91). Four unique alleles were detected for two accessions (winter cauliflower HRIGRU4495 and kale HRIGRU7227) at 3 SSR loci, representing 8.5% of the total number of alleles generated. This percentage was lower than that reported by Leroy et al. [14] for Boleracea accessions (19.9%). This could be due to the difference in the SSR loci and/or the accessions assessed. The unique alleles could be used as markers to genetically distinguish among Brassica genotypes.

In the present study, the observed heterozygosity was higher than the expected one for the 25 accessions studied. However, the average values of fixation indices (F) were lower than zero, indicating an excess of heterozygotes in all accessions studied. The heterozygote excess observed could be attributed to the outcrossing breeding system and the low effective population size of the accessions studied. The expected heterozygosity (He = 0.417) and the mean number of alleles per locus (A = 2.096) in our results were lower than those reported by Ofori et al. [9] for Brapa (He = 0.507 and A = 3.58). The difference in this data could be attributed to the differences in Brassica species or the methodology used.

In the present study, F-statistics revealed varying fixation indices among the loci. Ten SSR loci showed heterozygotes excess. However, the accessions analysed contained a high genetic diversity, but the distribution of this variation was not homogenous. The genetic differentiation among accessions as measured by Fst showed that 27.1% of the total genetic variation was due to differences among accessions, and 72.9% of the microsatellites variation resided within accessions. Therefore, the majority of the total genetic variation resided within accessions. This result agreed with that reported by Lázaro and Aguinagalde [24], Watson-Jones et al. [25] and Hintum et al. [26]. These results also correspond to the short-lived herbaceous plants, which gained a relatively high genetic variation, but most of this genetic diversity resided within accessions. The distribution of SSR variation within and among the accessions studied is the product of interactions among several evolutionary factors, including selection, effective population size and the ability of the species to disperse pollen and seeds.

The average value of the total heterozygosity (HT) in our results was 0.577. This value was higher than that reported by Hintum et al. [26], Watson-Jones et al. [25] and Lázaro and Aguinagalde [24,27] for Boleracea (0.249, 0.25, 0.338 and 0.294, respectively). The intra-accessional genetic diversity (HS) was 0.44, whereas this value was higher than that reported by Hintum et al. [26] for Boleracea (0.13). The differences in this data could again be attributed to the differences in Brassica accessions or the methodology used. The low levels of genetic differentiation among accessions (FST = 0.271, χ2 = 49.81, P < 0.001) and the inter-accession genetic diversity (DST = 0.137) were probably indicative of a relatively high gene flow, which was confirmed by the estimates of the number of migrants per generation based on Wright's equation (Nmw = 0.676). However, this result confirmed the presence of a high percentage of cross-pollination in the plant.

Polymorphic information content (PIC) is considered as one of the important features of the molecular markers and could be used to assess the differentiation ability of the markers [28]. PIC values ranged from 0.27 to 0.66, and classified 10 SSR loci as informative markers (PIC > 0.5). The average PIC value of all SSR markers was 0.571, indicating the ability of the utilised markers to differentiate the Boleracea accessions studied. However, this average value was lower than that reported by Moghaddam et al. [10] for Boleracea (0.69), but higher than that reported by Cui et al. [23] for Brapa (0.54). The difference in these data may be attributed to the differences in the Brassica species or the SSR loci used. The cluster analysis of our SSR data distinguished many cultivars. It showed that the kale and Brussels sprouts formed distinct clusters, but the cauliflowers could not be fully distinguished. Furthermore, the analysis showed that spring cabbages had a considerable level of genetic variation, and were distributed among different clusters. This study provided a new insight into the use of those promising genetically diverse spring cabbages accessions, revealing a high genetic variation, as potential resources for future breeding programs to develop new and more productive crops indeed. SSR markers showed that the gene pool of Irish Boleracea has a high genetic variation. SSRs markers, revealed high polymorphism in this study, may also be used for genetic analysis studies in other related crops [29–35].

5 Conclusions

This study assessed the genetic diversity, population structure and relationships of Boleracea germplasm across Ireland using 12 microsatellite markers. SSR loci were found to be significantly polymorphic and effective for differentiation among the accessions studied. The observed heterozygosity was higher than the expected one for all the accessions, which had an excess of heterozygotes. The majority of the genetic variation resided within accessions. Those genetic features of Irish Boleracea could provide insights and guidelines for protecting this species from extinction as well as developing its practical conservation strategies. This study also provided new interesting results and provides insight into the choice and use of the most variable spring cabbages accessions, identified here as potential resources for future breeding programs to develop new and more productive crops. SSR markers proved to be an effective platform for Brassica germplasm characterization and association mapping studies. Further analysis should analyse the variation of Irish accessions in relation to those found in Europe.

Authors’ contributions

ME designed and performed the experiments, analyzed the data, and wrote the manuscript. KG contributed to the experimental design, data analysis, and the writing of the manuscript. PB contributed to the experimental design and the writing of the manuscript. RM contributed to the experimental design, data analysis and the writing of the manuscript. All authors read and approved the final version of the manuscript.

Disclosure of interest

The authors declare that they have no competing interest.

Acknowledgements

We would like to thank the Horticultural Research Institute at the University of Warwick in United Kingdom for providing us with the Brassica material used in this study. We also thank Dr. Barry Murphy (Teagasc Research Centre, Ireland) for his support during selecting Brassica accessions. This work was financially supported by the Department of Agriculture, Fisheries and Food (DAFF, Ireland) under the Conservation of Genetic Resources for Food and Agriculture Scheme 2009 and the Dublin Institute of Technology ABBEST PhD Scholarship Grant, Ireland.


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