Random amplified polymorphic DNA (RAPD) and intersimple sequence repeat (ISSR) were assayed to determine the genetic diversity of 80 barley specimens from South Tunisia. The ISSR primers showed variation in the percentage of polymorphism, band informativeness (Ib), and resolving power (Rp). The percentage of polymorphism is 66.67%, the average Ib ranged from 0.24 to 0.39, while Rp ranged from 0.74 to 1.16. In RAPD analysis, three primers yielded a total of 17 scorable bands, which are all polymorphic. The three polymorphic primers exhibited variation with regard to average band informativeness (AvIb) and resolving power (Rp). RAPD and ISSR marker systems were found to be useful for the genetic diversity among the barley specimens. The two dendrograms obtained through these markers show different clustering of 80 barely specimens, but we noted that some clusters were similar in some cases. A poor correlation (r=0.12) was found between both sets of genetic similarity data, suggesting that both sets of markers revealed unrelated estimates of genetic relationships. Therefore, the ISSR and RAPD molecular markers show two genetic grouping of studied barely specimens.
1. Introduction
Barley (Hordeum vulgare L.) is one of the most important crop species in the World and has been subject to considerable genetic studies. It is a diploid (2n=2x=14), largely self-fertilizing species with a large genome [1].
Barley is cultivated on about 450.000 hectares in Tunisia. During centuries, early domestication and local knowledge have generated diverse local barley used mainly for feed and lowly for food [2]. In semiarid regions, barley is mostly cultivated by sheep owners and gazed one or two times as early winter crop when forage and pasture are not available. The conservation and use of plant genetic resources are essential to the continued maintenance and improvement of agricultural production.
The identification of varieties of crop plants has become increasingly important to the documentation of genetic resources and to the protection of the breeders’ interests. To the malting and brewing industries, this is especially important because different varieties of barley (Hordeum vulgare L. ssp. vulgare) have widely different qualities and use characteristics. Farmers need positive identification for the protection of their proprietary rights on varieties. The grower needs assurance that the seed lot is of the variety he intends to use. Processors must be assured of varietal identity and that it is free from mixtures. Examination of grain morphological characteristics is the standard method of identifying barley cultivars, but not all of them can be distinguished on this basis. Several biochemical techniques have been used to complement morphological examination of barley cultivars, and most of them rely on variations among isoenzymes [3] and seed storage proteins [4]. Nevertheless, characterization with these kinds of markers was not very efficient for barley varieties due to the low levels of allelic variation in many isoenzymatic loci, the high degree of genetic relationship among the different varieties, and the high degree of polymorphism within barley varieties.
Molecular markers have been proved to be valuable tools in the characterization and evaluation of genetic diversity within and between species and populations. It has been showed that different markers might reveal different classes of variation [5, 6]. It is correlated with the genome fraction surveyed by each kind of marker, their distribution throughout the genome and the extent of the DNA target which is analyzed by each specific assay [7]. The advent of the polymerase chain reaction (PCR) favored the development of different molecular techniques such as random amplified of polymorphic DNA (RAPD), simple sequence repeats (SSR or microsatellite), sequence-tagged sites (STS), random amplified microsatellite polymorphism (RAMP), and intersimple sequence repeat polymorphic DNA (ISSR) [8]. These molecular markers had been used in barley for detecting genetic diversity, genotype identification, and genetic mapping [9–11]. Of these techniques, RAPD has several advantages, such as simplicity of use, low cost, and the use of small amount of plant material. RAPDs were proved to be useful as genetic markers in the case of self-pollinating species with a relatively low level of intraspecific polymorphism, such as hexaploid wheat [12, 13] and cultivated barley [14]. Bernard et al. [15], used RAPD markers and have revealed extensive polymorphism between different genotypes of wild barley. They showed that out of total genetic diversity estimated, 75% of the variation detected was partitioned within the genotypes and 25% among the populations, whereas no substantial differences were found between countries. ISSR markers, which involve PCR amplifications of DNA using a primer, composed of a microsatellite sequence anchored at 3′ or 5′ end by 2–4 arbitrary, could be used to assess genetic diversity [16]. ISSRs have been used for cultivar identification for potatoes [17], wheat [18], bean [19], and barley [10, 11].
In this study, we evaluate the level and organization of the genetic diversity and relationship in barely specimens cultivated in south Tunisia using RAPD and ISSR markers, in order to establish a base line to assist future conservation and breeding programmes of this species. Also we aim to report the usefulness of RAPD and ISSR for the assessment of genetic diversity and relationships among barley specimens.
2. Materials and Methods2.1. Plant Material
Eighty barley (Hordeum vulgare L.) specimens selected from “Institut des régions arides de Médenine” (South Tunisia) were used in this study. The specimen numbers and country of origin are listed in Table 1.
Studied barley specimens and their geographical origins.
Specimens name
Code
Location
Region
Provence
1
Elmejni
19
Elmejni
Gabes
Gabes
2
Elmdou
43
Elmdou
Gabes
Gabes
3
Mazreet ben slama
74
Mazreet ben slama
Gabes
Gabes
4
Mareth
10
Mareth
Mareth
Gabes
5
Aiin tounine
69
Aiin tounine
Matmata
Gabes
6
Dkilet toujene
17
Dkilet toujene
Matmata
Gabes
7
Matmatta jdida 1
30
Matmatta jdida
Matmata
Gabes
8
Matmata jdida 2
34
Matmata jdida
Matmata
Gabes
9
Zmerten
50
Zmerten
Matmata
Gabes
10
Belkir
20
Belkir
Belkir
Gafsa
11
Belkhir 3
22
Belkhir
Belkhir
Gafsa
12
Essaidane
29
Essaidane
Ben Guerdane
Medenine
13
Bniri
48
Bniri
Ben guerdane
Medenine
14
Oued erbaii
49
Oued erbaii
Ben guerdane
Medenine
15
Jellala
70
Jellala
Ben guerdane
Medenine
16
Oued el khil 2
4
Oued el khil
Ben keddache
Medenine
17
Labyar 2
11
Labyar
Ben keddache
Medenine
18
Manzel mgor 1
26
Manzel mgor
Ben khddache
Medenine
19
Manzel mgor 2
27
Manzel mgor
Ben khddache
Medenine
20
Labyar 1
35
Labyar
Ben khddache
Medenine
21
Switir 1
77
Switir
Medenine
Medenine
22
Swittir
12
Swittir
Medenine
Medenine
23
Bir ezwai
13
Bir ezwai
Medenine
Medenine
24
El bhira 1
31
El bhira
Medenine
Medenine
25
El bhira 2
32
El bhira
Medenine
Medenine
26
Hjar
36
Hjar
Medenine
Medenine
27
Tarf ellil
41
Tarf ellil
Medenine
Medenine
28
Ben khddache centre
44
Ben khddache centre
Medenine
Medenine
29
Bir ezzwai
46
Bir ezzwai
Medenine
Medenine
30
Ferjania 2
53
Ferjania
Medenine
Medenine
31
Oued elhalouf
56
Oued elhalouf
Medenine
Medenine
32
Ksar ejdid
59
Ksar ejdid
Medenine
Medenine
33
Lagrabette
63
Lagrabette
Medenine
Medenine
34
Ben gzayel
73
Ben gzayel
Medenine
Medenine
35
Thahret el gbour 2
57
Thahret el gbour
Medenine
Medenine
36
Thahret elgbour
71
Thahret elgbour
Medenine
Medenine
37
Errssifett
37
Errssifett
Zarzis
Medenine
38
Essolb
51
Essolb
Zarzis
Medenine
39
Orge Pakestani
79
Orge Pakestani
Pakistan
Pakistan
40
Echahbania 1
2
Echahbania
Tataouine
Tataouine
41
Tataouine ejdida
3
Tataouine ejdida
Tataouine
Tataouine
42
El bagbag 3
6
El bagbag
Tataouine
Tataouine
43
Lamaat
7
Lamaat
Tataouine
Tataouine
44
El ferch 1
8
El ferch
Tataouine
Tataouine
45
Ksar ouled boubaker
9
Ksar ouled boubaker
Tataouine
Tataouine
46
Tlalite
14
Tlalite
Tataouine
Tataouine
47
Bir 30
15
Bir 30
Tataouine
Tataouine
48
Oued el khil
16
Oued el khil
Tataouine
Tataouine
49
Amadi
18
Amadi
Tataouine
Tataouine
50
Mgitt 2
21
Mgitt
Tataouine
Tataouine
51
Missawa
23
Missawa
Tataouine
Tataouine
52
Gomrassen
24
Gomrassen
Tataouine
Tataouine
53
Gattouffa
25
Gattouffa
Tataouine
Tataouine
54
Bir lahmer 2
28
Bir lahmer
Tataouine
Tataouine
55
El bag bag 1
33
El bag bag
Tataouine
Tataouine
56
Erremtha 2
38
Erremtha
Tataouine
Tataouine
57
El ferch 2
39
El ferch
Tataouine
Tataouine
58
Oued el khil 3
42
Oued el khil
Tataouine
Tataouine
59
Misstawa1
45
Missawa
Tataouine
Tataouine
60
Grager 2
47
Grager
Tataouine
Tataouine
61
Gormassa
52
Gormassa
Tataouine
Tataouine
62
Ksar oun 1
54
Ksar oun
Tataouine
Tataouine
63
Bir addim
55
Bir addim
Tataouine
Tataouine
64
Ksar ouled dbab
58
Ksar ouled dbab
Tataouine
Tataouine
65
El mawouna
60
El mawouna
Tataouine
Tataouine
66
Ezzahra 2
61
Ezzahra
Tataouine
Tataouine
67
Elmziraa
62
Elmziraa
Tataouine
Tataouine
68
Bouzrida
64
Bouzrida
Tataouine
Tataouine
69
Echahbania
65
Echahbania
Tataouine
Tataouine
70
Gormassa 2
66
Gormassa
Tataouine
Tataouine
71
Lahyet mars
67
Lahyet mars
Tataouine
Tataouine
72
Gomrassen 1
68
Gomrassen
Tataouine
Tataouine
73
Elbagbag 2
72
Elbagbag
Tataouine
Tataouine
74
Gragre 1
75
Gragre
Tataouine
Tataouine
75
Oued el khil 1
76
Oued el khil
Tataouine
Tataouine
76
Chenenni
78
Chenenni
Tataouine
Tataouine
77
Gasbett gomri
5
Gasbett gomri
Tataouine
Tataouine
78
Chehbania 2
40
Chehbania
Tataouine
Tataouine
79
El mourra
1
El mourra
Tataouine
Tataouine
80
Rihane
80
Rihane
Tunis
Tunis
2.2. DNA Extraction
Total DNA was extracted from fresh leaves as described by J. J. Doyle and J. L. Doyle [20] with some modifications. DNA concentration was determined by both spectrophotometry at 260 nm and by 2% agarose gel electrophoresis.
2.3. ISSR-PCR Analysis
A set of 10 ISSR primers was procured from Operon molecular for life (Table 2). Initially 3 specimens were used for PCR amplification using all the 10 primers. Three primers gave clear and polymorphic patterns and were used for further analysis of 80 specimens. For each primer, 20 μL amplification reaction contained 2.5 μL buffer (Taq Buffer avec (NH4)2SO4 5x), 100 ng of genomic DNA, 2 mM of MgCl2 and 1 U of Taq DNA polymerase. PCR amplifications were performed in gen-Amp PCR 9700 thermal cycler system, with initial denaturation at 94°C for 5 min followed by 35 cycles: denaturation at 94°C for 1 min, annealing at 36°C for 1 min, extension at 72°C for 2 min, with final extension at 72°C for 7 min. PCR products were separated on 2% agarose gels, stained with ethidium bromide, and visualised on UV. The gel was photographed using Bio-print camera.
ISSR and RAPD primers tested in this study.
ISSR primers
Sequence of primer (5′–3′)
1
UBC-888
BDBCACACACACACACA
2
UBC-890
VHVGTGTGTGTGTGTGT
3
A12
(GA)6 CC
4
UBC-810
GAGAGAGAGAGAGAGAT
5
UBC-812
GAGAGAGAGAGAGAGAA
6
UBC-814
CTCTCTCTCTCTCTCTA
7
UBC-815
CTCTCTCTCTCTCTCTG
8
UBC-822
TCTCTCTCTCTCTCTCA
9
UBC-834
AGAGAGAGAGAGAGAGYT
10
UBC-845
CTCTCTCTCTCTCTCTRG
RAPD Primers
Sequence of primer (5′–3′)
1
UBC- 402
-CCCGCCGTTG-
2
UBC-475
-CCAGCGTATT-
3
UBC-490
-AGTCGACCTT-
4
UBC-534
-CACCCCCTGC-
5
UBC-102
-GGTGGGGACT-
6
OPA-04
-AATCGGGCTG-
7
OPA-18
-AGGTGACCGT-
8
OPA-11
-CAATCGCCGT-
9
BY-15
-CTCACCGTCC-
10
W07
-CTGGACGTCA-
2.4. RAPD-PCR Analysis
RAPD analysis was carried out with 10 decamer random primers from Operon molecular for life (Table 2). PCR amplifications were carried out also with 3 specimens. Three primers gave clear and polymorphic amplification patterns and were used for further analysis of 80 specimens. For each primer, 20 μL amplification reaction contained: 100 ng of genomic DNA, 5 mM of MgCl2, 1 U of Taq DNA polymerase, and 4 μL de buffer (Taq Buffer avec (NH4)2SO4 10x). PCR amplifications were performed in a gen-Amp PCR 9700 thermal cycler system. The PCR conditions included initial denaturation at 94°C for 5 min, followed by 45 cycles: denaturation at 92°C for 1 min, annealing at 50°C for 2 min and extension at 72°C for 2 min with final extension at 72°C for 7 min.
2.5. Reproducibility of Amplification Patterns
DNA amplifications with each ISSR and RAPD primers were repeated at least thrice to ensure reproducibility. The bands were considered reproducible and scorable only after observing and comparing them in three separate amplifications for each primer. Clear and intense bands were scored while faint bands against background smear were not considered for the further analysis.
2.6. Scoring and Data Analysis
For each specimen, each fragment/band that was amplified using ISSR and RAPD primers was treated as unit character. Molecular weight of each of the potential specific bands was calculated using the software Gel-pro analyser. Unequivocally scorable and consistently reproducible amplified DNA fragments were transformed into binary character matrices (1 for presence, 0 for absence). The commercial software package SPSS 16 was used to develop similarity matrices based on the Dice coefficient which is defined as 2a/2a+u, where “a” is the number of positive matches and “u” is the number of nonmatches. These data were then used to construct dendrogram for cluster analysis based on the Dice coefficient and on the simple link as the algorithm aggregation method. Two separate dendrograms for ISSR and RAPD data were generated. The distance matrices obtained in RAPD and ISSR analyses were compared using correlation analysis. Average band informativeness (AvIb) is a measure of closeness of a band to be present in 50% of the genotypes under study, and resolving power (Rp) is the sum of Ib values of all the bands amplified by a primer. Band informativeness (Ib) and resolving power (Rp) were calculated as given by Prevost and Wilkinson [17]. The formulae used for the above-mentioned parameters are
Band informativeness of a given band: Ib=1-(2×|0.5-p|), where p is the proportion of the total genotypes containing the band;
resolving power of a primer is the sum of band informativeness: Rp=ΣIb.
The hierarchical classification ascendant (HCA) was conducted on ISSR and RAPD data based on dissimilarity (Dice index) and the simple link as the algorithm aggregation method.
3. Results3.1. Identification and Evaluation of RAPD and ISSR Primers for Diversity Estimation
Out of 10 decamer random primers used for initial screening with three representative genotypes, only three primers amplified polymorphic patterns. These primers were then used for RAPD analysis of all the 80 genotypes. Amplification products of the 80 genotypes with these three primers yielded a total of 17 scorable bands, which are all polymorphic (Table 3). The highest number of bands (8) was obtained with primer BY-15, while the lowest number (4) was obtained with primer UBC-402. Different primers showed the same variation in their ability to detect polymorphism (100%). The three polymorphic primers exhibited variation with regard to average band informativeness (AvIb) and resolving power (Rp). The AvIb and Rp values of these polymorphic primers have been depicted in Table 6. The primer OPA-11 showed the lowest AvIb (0.37) and Rp (1.85), while the highest AvIb (0.65) and Rp (5.20) values were exhibited by the primers BY-15.
Polymorphism exhibited by ISSR and RAPD primers in barley.
Primers
Tm (°C)
Total bands
Polymorphic
(%) Polymorphism
Resolving power (Rp)
Average ofinformativenessbands (AvIb)
Theoretical
Optimal
ISSR
UBC-890
56.39
56
3
2
66.67
1.16
0.39
UBC-888
56.39
55
3
2
66.67
0.86
0.29
A12
55
55
3
2
66.67
0.74
0.24
Total
—
—
9
6
—
—
—
Mean
—
—
—
—
66.67
0.92
0.30
RAPD
UBC-402
55
47
4
4
100
1.90
0.47
OPA-11
50
47.5
5
5
100
1.89
0.37
BY-15
32
34
8
8
100
5.20
0.65
total
—
—
17
17
—
—
—
Mean
—
—
—
—
100
2.99
0.49
Rp: Resolving power.
Ib: Band informativeness.
For ISSR markers, a total of 10 primers consisting of di- and tri-repeat motifs were used for initial screening with 3 specimens. Out of these, 7 primers gave no amplification at all, while only 3 primers were found to give clear and polymorphic patterns and were subsequently used to analyze the entire set of 80 genotypes. These ISSR primers amplified a total of 9 bands out of which 6 bands were polymorphic. These primers showed variation in the percentage of polymorphism band informativeness (Ib) and resolving power (Rp). The percentage of polymorphism is 66.66%; the average Ib ranged from 0.24 to 0.39 while Rp ranged from 0.74 to 1.16 (Table 3). The primer UBC 890 showed the highest values of average Ib (0.39) and Rp (1.16).
3.2. Genetic Diversity and Clustering Based on RAPD and ISSR Polymorphism Data
The dendrogram obtained using RAPD data indicates nine main clusters (Figure 2, Table 5). The cluster 8 includes the specimen “Lahyet mars” collected from Tataouine, characterized by the low number of locus (only 3). The class 7 includes only two specimens “Thahet el gbour 2” from Médenine and “Grager 2” from Tataouine, which present the height number of locus (ten loci). The cluster 1 includes the majority of specimens (54 specimens), characterized by the absence of 2 locus having molecular size 900 and 390 pb, respectively. The position of specimens regrouped in clusters 6, 9, 11, 12, 13, 14, and 15 obtained by ISSR markers (Table 4), remained the same as in the RAPD dendrogram clusters 2, 4, 5, 6, 7, 8, and 9.
Different classes obtained by dendrogram clustering using ISSR data.
Comparison of polymorphism detected by RAPD and ISSR markers in 80 barley specimens.
Average band/Primer
Average polymorphic band/Primer
Correlation RAPD/ISSR
RAPD
5.66
5.66
ISSR
3
2
0.12
According the ISSR data, a dendrogram was developed for 80 genotypes and indicates 18 main clusters; the cluster 5 includes 29 specimens (Table 3), characterized by the presence of 7 locus with molecular size ranging from 225 to 400 bp. The cluster 4 includes 18 specimens, characterized by the presence of 6 loci whose molecular size ranged from 225 to 300 bp. The different clusters 1, 7, 12, and 18 would constitute one group characterized by the presence of 6 loci with variable molecular size. The cluster 13 includes two specimens “Ezzahra 2” and “Bouzrida” collected from Tataouine, having low number of bands: 2 loci whose molecular sizes were 275 and 295 pb. The specimen “Bir addim” from Tataouine included in cluster 11, covering 3 loci with molecular sizes 225, 275, and 300 pb.
3.3. Comparison of RAPD and ISSR Markers in Diversity Assessment of Barley Genotypes
The composition of clusters obtained using independently RAPD and ISSR markers have revealed similar groupings in only some clusters. The performance of these markers was evaluated using various parameters such as percentage of polymorphism, average band informativeness, resolving power, and clusters formed in the dendrogram. The comparison of these parameters done using two marker systems is summarized in Table 6. Percentage of polymorphic markers: the three ISSR primers yielded average three bands per primer, while the three RAPD primers amplified average 5.66 bands per primer. The average number of polymorphic bands per primer was higher in case of RAPDs (5.22) as compared to that in ISSRs (2). The range of band informativeness (Ib) values of both marker systems is reported in Table 6. The highest value (0.49) displayed by RAPD markers is higher than the ISSR markers (0.30). Resolving power is a characteristic of a primer which reflects overall suitability of a marker system for the purpose of identification, as it is related to the number of specimens distinguished by that primer [17]. Rp value for both RAPD and ISSR polymorphic primers was calculated, and it was observed that RAPD primers had greater Rp (2.99) than ISSR primers (0. 92).
The correlation coefficient for the elements of the RAPD GS (Genetic Similarity) and ISSR-GS matrices was calculated using the mantel test [21]. There was no significant correlation (r=0.12) between the RAPD GS and ISSR-GS matrices, indicating that both sets of markers revealed the unrelated estimates of genetic relationships.
4. Discussion
The results indicated that the percentage of RAPD polymorphic bands (100%) was higher than that of ISSR (66.67%). The mean number of amplification RAPD bands (5.66) was more than that of ISSR (3). Moreover, the total number of polymorphic bands (17) detected by three RAPD primers was much higher than that of the three ISSR primers (6), which suggested that the RAPD markers were superior to ISSR markers in the capacity of revealing more informative bands in a single amplification. The similar results were observed by Fernández et al. [11] and Tanyolac [10].
Due to its worldwide distribution, the valuation of the genetic diversity among barley germplasm from different countries has been performed [7, 9, 11, 22–24]. Bernard et al. [15] analyzed the genetic diversity in 88 genotypes from 20 populations of wild barley from Israel, Turkey, and Iran by RAPD markers. When the total genetic diversity were estimated, 75% of the variation detected was partitioned within the 88 genotypes and 25% among the populations. When variation between countries was assessed, no substantial differences were found, because most of the variation detected (97%) was partitioned within the 20 populations and the remainder among the countries. Therefore, the barely specimens were closed together independently of their geographic origin. In this study, both dendrograms based on RAPD and on ISSR markers do not show geographic profiling between barely specimens (Figures 1 and 2). Moreover, it has been reported that the dendrogram generated by the ISSR matrix agrees better with the genealogy and the known pedigree of the barley cultivars than the dendrogram generated by the RAPD results [11]. On the other hand, it has been found that the data based on RAPD-GS were more correlated with the geographic distribution of the genus Houttuynia thunb, while the data based on ISSRs were closely related with their number of chromosomes [8]. It could be partially explained by the different number of informative PCR products (84 for RAPDs and 105 for ISSRs). They reinforced again the importance of the number of loci and their coverage of the overall genome and obtained reliable estimates of genetic relationship among the studied materials [11].
Dendrogram clustering revealed by 80 barley specimens (a) and clusters (b) using ISSR data and constructed based on the Dice dissimilarity index.
Dendrogram clustering revealed by 80 barley specimens (a) and clusters (b) using RAPD data and constructed based on the Dice dissimilarity index.
The microsatellites or intersimple sequence repeat (ISSR) markers and randomly amplified polymorphic DNA (RAPD) markers have proved to be the most polymorphic markers in barley and hence are highly useful markers for various applications in barley [11]. Apart from using them in diversity analysis, ISSR markers have been showed to be associated with various agronomically important traits, namely, dwarfing and vernalization response [25], leaf rust resistance [26], kernel hardness [27], cadmium uptake [28] preharvest sprouting tolerance [29], protein content [30] resistance to common bunt [31], powdery mildew resistance [32], kernel traits [33], flour viscosity [34]. RAPD markers were also shown to be associated with various traits such as the Aegilops speltoides leaf rust resistance gene Lr 28 in wheat [35], various traits contributing to kernel hardness in bread wheat [36], and cadmium intake in durum wheat [28]. These markers can be used for selection of important agronomic traits which would increase the efficiency and precision of breeding. In a previous study [37], some traits were used to evaluate the agronomical potentiality of barely specimens in south Tunisia. It has been noted that although the importance of agronomic parameters, it is necessary to use other markers to study diversity and select genotypes with high potential.
Comparing our results with other work on the study of molecular polymorphism in barley by RAPD markers and using the same primers, we deduced differences in the number and size of bands. Among the primers used by Owuor et al. [38], to study the polymorphism in wild barley (Hordeum spontaneum) in Palestine, it has been noted that the OPA-04 and OPA-18 primers were also used for the study of diversity in Morocco barley specimens [39]. The UBC-534 and UBC-490 primers were used to study the diversity of Palestine barley specimens [40].
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