El-Tody, G., Khalid, A., Elwakil, H., Abdelsalam, N. (2014). Genetic Description of Acacia Species Based on Different Markers. Journal of the Advances in Agricultural Researches, 19(1), 82-99. doi: 10.21608/jalexu.2014.160312
Gehan El-Tody; Ahmed Khalid; Hossam Elwakil; Nader Abdelsalam. "Genetic Description of Acacia Species Based on Different Markers". Journal of the Advances in Agricultural Researches, 19, 1, 2014, 82-99. doi: 10.21608/jalexu.2014.160312
El-Tody, G., Khalid, A., Elwakil, H., Abdelsalam, N. (2014). 'Genetic Description of Acacia Species Based on Different Markers', Journal of the Advances in Agricultural Researches, 19(1), pp. 82-99. doi: 10.21608/jalexu.2014.160312
El-Tody, G., Khalid, A., Elwakil, H., Abdelsalam, N. Genetic Description of Acacia Species Based on Different Markers. Journal of the Advances in Agricultural Researches, 2014; 19(1): 82-99. doi: 10.21608/jalexu.2014.160312
Genetic Description of Acacia Species Based on Different Markers
1International Center for Training and Development in New Lands, Ministry of Agriculture and Land Reclamation
2Agricultural Botany Department Faculty of Agriculture, 21531, Saba Bacha, Alexandria University, Egypt
Abstract
Five Acacia species: Acacia Tortilis ssp. radiana, Acacia farnesiana, Acacia stenophylla, Acacia sclerospermaand Acacia saligna were used in the current research. Morphological, biochemical and molecular markers used to describe the genetic variations among Acacia species. Data showed highly significant differences among the five species concerning the morphological parameters. Acacia Tortilis ssp. Radiana collected from (Siwa Oasis and Borg Al- Arab city) showed the highest values comparing with other species. The highest values for spine length (mm) were 28.75 and 19.25 mm, in respect. The lowest mean value 6.50 mm was recorded in Acacia farnesianafor Leaf length (cm) data showed that Acacia sclerosperma and Acacia saligna have the highest mean values (19.25 and 26.08 cm). While the lowest leaf length (2.85 cm) was recorded in Acacia Tortilis ssp. Radiana collected from Siwa. One cathode common band (Pex.C1) was found for all the species. While, five anodal (Pex.A1; Pex.A2; Pex.A3, Pex.A4 and Pex.A5) bands were recorded for all species in different molecular weights. (Pex.A2, Pex.A3 and Pex.A5) was recorded in Acacia tortilisssp. radiana (Siwa), (Pex.A2,andA4) were recorded in Acacia tortilis ssp. radiana (Borg Al-Arab). In molecular markers measured, out of 156 fragments, 5 fragments were produced for the primer OPA-18 in the six samples of Acacia species with molecular weights ranging from 251 to 832 bp. and polymorphism (40%). While, 18 fragments were observed with OPB-03 primer (11 unique) and 3 polymorphic with polymorphism (93.3%). Ten fragments with molecular weights from 326 to 1503 bp were recorded for OPC-02 primer and (70 %) polymorphism. Eleven fragments with wide molecular weight range extended from 299 to 3178 bp recorded to OPD-03. This primer revealed (72.7%) polymorphism. Finally, primer OPE-12 gave nine fragment bands with 77.8 % polymorphism.
INTRODUCTION Genetic markers represent genetic differences between individuals or species. There are three major types of genetic markers: (1) morphological (classical or visible) markers which themselves are phenotypic traits or characters; (2) biochemical markers, which include allelic variants of enzymes called isozymes; and (3) DNA or molecular markers, which reveal sites of variation in DNA (Jones, et al., 1997). Morphological markers are usually visually characterized phenotypic characters such as flower colour, seed shape, growth habits or pigmentation. J. Adv. Agric. Res. (Fac. Agric. Saba Basha)
83 - - Vol. 19 (1), 2014 Isozyme markers are differences in enzymes that are detected by electrophoresis using specific stains. The major disadvantages of morphological and biochemical markers are that they may be limited in number and are influenced by environmental factors or the developmental stage of the plant (Winter and Kahl, 1995). DNA markers are widely accepted as potentially valuable tools for crop improvement in rice (Mackill, et al., 1999), Wheat (Koebner and Summers, 2003), maize (Tuberosa, et al., 2003) and oilseeds (Snowdon and Friedt, 2004. Genetic markers are of great value in genetic research and practical breeding programs, since they reflect the genetic variation among individuals. Morphological markers, or mutations in morphological markers, or mutations in genes with visible consequences, have been used in genetic studies since early in the twentieth century (Hussium, et al., 2000).Isozymes loci are excellent biochemical markers since they are usually co-dominantly inherited do show pleiotropic effects, rarely exhibit epistasis and are not affected by the environment. Isozymes have been used very successlly in certain aspects of plant breeding and genetics as nearly neutral genetic markers (Tanksley, et al., 1989). Unfortunately, the number of genetic markers provided by isozyme assays is insufficient for most applications in plant breeding. As a result, even with the use of isozymes as biochemical markers, the fill potential of genetic mapping in plant breeding have not been achieved (Tanksley, 1983). Proline is the only organic cytosolute which able to make the major contribution or osmotic adjustment at sever salinity in roots, while in shoots and spikes the contribution of Proline in osmoregulation might be reduced. We concluded that there is no stable situation in usage of organic or inorganic soluble components in osmotic adjustment in the cultivars and lines on different salinity levels. This is happened not only in different cultivars but also in different organs which conferring the contrasting opinions about the physiological significance of Proline which has remained controversial among physiologists. Many reports have pointed out that Proline is mostly accumulated when plants growth ceased (Joly, et al., 2000). RAPD is one of the widely used molecular markers, where it was applied in determination of paternity, gene mapping, identification of markers linked to traits of interest without the necessity for mapping the entire genome, plant and animal breeding, to understand the complexity of the transmission cycles of insects vectors and population and evolutionary genetics (Marcili et al., 2009 and Sharma et al., 2009). This wide range of applications due to that tiny amounts of DNA are sufficient for the amplification, no prior knowledge of a DNA sequence is required, commercially primers kits are available, simple, no expertise is required, low cost of the unit of assay, relatively quick, produce high number of fragments and able to distinguish between closely related individuals (Hadrys, et al., 1992 and Bardakci, 2000). Acacia is the common name for plants of the genus Acacia in the bean family, Leguminosae. This genus consists of approximately 1,100-1,200 species primarily of trees, but also including some shrubs and climbers. Globally distributed, acacia species are located in Asia, Madagascar, the Caribbean and J. Adv. Agric. Res. (Fac. Agric. Saba Basha)
84 - - Vol. 19 (1), 2014 Pacic islands, the Americas, and most prominently in Australia and Africa in arid and semiarid tropical zones. Those tropical regions that have long, dry winters and short wet summers often support shrubby vegetation known as thorn scrub or savanna. Acacia trees constitute much of the woody vegetation in such plant communities (Ross, 1981). Because of the wide distribution of Acacias in the arid lands, and their multiple uses that include fodder, fuel, medicine besides the environmental values of soil fixation and fertility (Shaw, et al., 2002). Acacia is the second largest genus in the family Leguminosae with about 1350 species (Maslin, 2003 and Maslin et al., 2003).The current classification of Acacia differentiates three subgenera (Ross,1979 and Maslin et al., 2003): Acacia, Heterophylum and Aculeiferum, Acacia raddiana belongs to the acacia subgenus. The base chromosome number in the genus Acacia is x=13 with polyploidy occurring in several species, (Blakesley et al., 2002; Khatoon and Ali, 2006). There are 129 Acacia species in Africa. They are intermediate in plant succession and colonize degraded land. They restore soil fertility and can be maintained indefinitely in agricultural systems. Despite their benefits, they are disliked for their thorns and invasiveness (Barnes, 2001). Acacia are allelopathic, and their toxic aqueous leachates are used to detect differences in the patterns of expression of cytoplasmic root proteins in crop plants, indicative of biochemical alterations at the cellular level (Bukhari, 2002).The main objective of the current research is genetic description and phylogenetic relationships among Acacia species in Egypt based on different markers by calculate the morphological variation among Acacia species, assay peroxidase activity and proline content, estimate the level of polymorphism via RABD-PCR markers. MATERIALS AND METHODS A- Morphological Marker: Leaves of five Acacia species: Acacia Tortilis ssp. radiana, Acacia farnesiana, Acacia stenophylla, Acacia sclerosperma and Acacia saligna were collected completely random from 20 individual Acacia trees natural habitats along different localities in Egypt i.e. Abis Station Farm, Faculty of Agriculture Saba Basha., Borg Al-Arab, Marsa Matroh City and EL-Gara (Siwa Oasis). Leaf lengths (cm), pinna length (cm), leaflet length (mm), spine length (mm) were measured. In addition to, some qualitative characters recorded such as leaves type, growth form, crown shape, stem number and spine shape. B- Biochemical Marker: Leaves from each species were grounded separately, using a cooled mortar with a pestle, and adding 0.23 M Tris-acetate, pH 5.0. Homogenate was extracted by the solution containing Tris (27.7 g) and citric acid (11.0 g) in 1L volume adjusted with distilled water. Electrophoresis was carried out by the prescriptions recommending 1% agar-starch-polyvinyl-pyrrolidone gel and Tris-orate or Trisacetate separation buffers. Electrophoresis was conducted at 270 v, 4ºC for 100 min. 100 ml of0.01 M acetate buffer pH 5.0, containing 0.1% benzidine and 0.5% hydrogen peroxide (H2O2) were layered over the gel immediately before staining. J. Adv. Agric. Res. (Fac. Agric. Saba Basha)
85 - - Vol. 19 (1), 2014 Proline was determined according to the method of Bates et al. (1973) by 3% Aqueous Sulfosalicylic Acid, Acid Ninhydrin:1.25 g Ninhydrin ,30 ml glacial acetic acid,20 ml 6M phosphoric acid. C- Molecular Marker: RAPD has been developed, in which DNA is amplified by the polymerase chain reaction (PCR) using arbitrary short (10 nucleotides) primers (Williams et al. 1990). DNA extracted from 50 mg samples of leaves using either the DNeasy Plant System. RAPD analyze was carried out using 5 oligonucleotide primers (Table 1) that were selected from the Operon Kit (Operon Technologies Inc., Alabameda, CA). The polymerase chain reaction mixture (25μl) consisted of 0.8U of Taq DNA polymerase; 25pmol dNTPs; 25pmol of primer and 50ng of genomic DNA. PCR amplification was performed in a Biometra T1 gradient thermal cycler for 40 cycles after initial denaturation for 3 min at 94°C. Each cycle consisted of denaturation at 94°C for 1min; annealing at 36°C for 1min; extension at 72°C for 2min and final extension at 72°C for 10min (Williames, et al. 1990). Amplification products were separated on 1% Agarose gels at 100 volts for 1.30 hrs with 1 x TBE buffer. To detect ethidium bromide/DNA complex, Agarose gels were examined on ultraviolet transilluminator (302nm wavelength) and photographed. Table 1. Primers name and their oligonucleotide sequences used in the study primer number primer Code Sequence 3/---5/ 1 OPA-18 AGGTGACCGT 2 OPB-03 CATCCCCCTG 3 OPC-02 GTGAGGCGTC 4 OPD-03 GTCGCCGTCA 5 OPE-12 TTATCGCCCC RESULTS AND DISCUSSION A- Morphological Markers: The morphological variations among the five Acacia species were calculated using; spine, pinna, leaf and leaflet length. The results were recorded in Table (2). Analysis of the variance showed high significant differences among the different species concerning the marker measured. As for spine length (mm) data , it indicates clearly highly significant variations among different species. The highest values were recorded in Acacia Tortilis ssp. Radiana collected from(Siwa Oasis), followed by Acacia Tortilis ssp. Radiana (collected from Borg Al-Arab city) in means 28.75 and 19.25 mm, respectively. The lowest mean value was recorded in Acacia farnesiana, the mean 6.50 mm with LSD=1.36. No spines were observed in the other three species. Data showed inverse relationship between the spine and pinna length, epically in the desert localities, these species grew in very hard conditions such as drought, salt etc. the plants try to make modification in increasing the spine length and vice versa decrease the pinna length to subject the J. Adv. Agric. Res. (Fac. Agric. Saba Basha)
86 - - Vol. 19 (1), 2014 biotic and Abiotic stress. The results showed that Acacia Tortilis ssp. Radiana collected from Siwa and Borg Al-Arab, have the lowest values of pinna length (0.68 and 0.98cm), respectively, compared with the highest value of (4.28 cm) in Acacia farnesiana. For Leaf length (cm), data in Table 2 showed that Acacia sclerosperma and Acacia saligna have the highest mean values (19.25and 26.08 cm), in respect. While the lowest leaf length was recorded in Acacia Tortilis ssp. Radiana collected from Siwa(2.85 cm), flowered by Acacia Tortilis ssp. Radiana collected from Borg Al-Arab by mean (3.15 cm) and finally Acacia farnesiana with mean (3.80 cm), while, no significant differences were observed among other species, the means ranged from (2.0 to 2.50 mm) in the Acacia Tortilis ssp. Radiana collected from(Siwa=2mm), followed by Acacia Tortilis ssp. Radiana collected from Borg Al- Arab=2.50) and Acacia farnesiana=2.25mm. High similarities were found between Acacia farnesiana and Acacia Tortilis ssp. Radiana in leaves type it were pinnately compound. On the other hand, Acacia saligna, Acacia sclerosperma and Acacia stenophylla had simple leaves (Table 3).The same trend for growth form Shrub/small tree compared with other spices were shrub or tree. For stem number, the highest number recorded for Acacia farnesiana (2-5 stems) forward by both Acacia Tortilis ssp by (1-4 stems) and finally Acacia stenophylla usually one stem. Concerning to spine shape, data in Table 3 showed that, spine shape was small in Acacia farnesiana compared with long white straight in both Acacia Tortilis ssp which collected from Siwa and Borg EL-Arab. Table 2. Morphological variations of Acacia species: spine length, pinna length, leaf length and leaflet length Leaflet length (mm) Leaf length (cm) Pinna length (cm) Spine length(mm) Species Acacia farnesiana *6.50c 4.28a 3.80d 2.25a Acacia Tortilis ssp.Radiana 19.25b 0.98b 3.15e 2.50a (Borg) Acacia Tortilis ssp. Radiana 28.75a 0.68c 2.85e 2.00a (Siwa) Acacia saligna - - 23.28b - Acacia sclerosperma - - 26.08a - Acacia stenophylla - - 19.25c - L.S.D 0.05 1.36 0.252 0.508 0.705 *Mean followed by the same letter is not significantly different at 0.05 levels (-) not found J. Adv. Agric. Res. (Fac. Agric. Saba Basha)
87 - - Vol. 19 (1), 2014 Table 3 . Qualitative description of some Acacia species in Egypt Spine shape Number of stems Crown shape Growth form Leaves type Species often 2-5 small spread Shrub/small tree Pinnately compound Acacia farnesiana Long white straight irregular/ 1-4 round Shrub/small tree Pinnately compound Acacia Tortilis ssp. Radiana (Borg Al- Arab) Long white straight irregular/ 2-4 round Shrub/small tree Pinnately compound Acacia Tortilis ssp. Radiana (Siwa) Acacia saligna Simple shrub or tree spread 1 - Acacia sclerosperma Simple shrub or tree spread 1 - Acacia stenophylla Simple shrub or tree rounded usually 1 - These results are in the line with Fatima, et al., (2011) who studied the morphological variations on Acacia species in Morocco. The authors assessed the variability in eight pod traits of 300 genotypes (mother-tree) of A. tortilis ssp. raddiana (Savi) Brenan collected from southern regions of Morocco. The results showed that, in the analysis of variance, that Acacia raddiana have significant differences in all traits due to genotype within provenances, but only in pod length, seed weight per pod, seed number per pod, infected seed number per pod and 100-seed weight due to provenances. Results showed that analyses of the three traits showed significant species differences. Our study in agree with those Boxshall and Jenkyn (2001) and Wasowski and Wasowski, (2003) which studied the morphological variation in Acacia stenophylla, they proved whole description for this species via morphological parameters such as spreading shrub or small tree, tree tall, leaves, branches, leaf arrangement, leaf venation: pinnate, leaf margin: entire leaf apex: acute, leaf base: oblique, size notes. These results is alien with Boulos, (1999) and Orwa, et al.(2009) described that Acacia tortilis is a small to medium-sized evergreen tree or shrub that grows up to 21 m tall. Leaves glabrous to densely pubescent, glandular, short at 1.25-3.75 cm long; petiole 0.2- 0.9 cm long, with a gland; rachis 0.3-2 cm long. B. Biochemical Markers: - Peroxidase assay: Peroxidase iso-enzyme assay was applied as the most appropriate technique for the evaluation of wild acacia and domesticated acacia species .In contrast, as shown in (Table4), Peroxidase isozymes exhibited a wide range of variability among the different species at different localities. One cathode (Pex.C1) were found as common band for all the species. While, five anodal (Pex.A1; Pex.A2; Pex.A3, Pex.A4 and Pex.A5) bands were recorded for all species in different molecular weight. (Pex.A2, A3 and A5) was recorded in Acacia tortilisssp. radiana (Siwa), (Pex.A2,and A4) was recorded Acacia tortilis ssp. radiana(Borg).While, Acacia stenophylla, and Acacia sclerosperma showed (Pex.A3).and finally Acacia saligna showed Pex. A4. From the data it can be conducted that the peroxidase patterns in the Acacia radiana (Siwa) wild and the five domesticated Acacia plants leaves showed two kinds of banding profiles. First, J. Adv. Agric. Res. (Fac. Agric. Saba Basha)
88 - - Vol. 19 (1), 2014 it was evident that all plants expressed the (Pex.C1) and the five domesticated plants exhibited the same banding profile containing the sesame loci. Indicated that, these one common locus was consistently monomorphic expressed. Second, the Acacia radiana (Siwa) wild types displayed one common locus (Pex.C1). The banding pattern activity of Acacia displayed a unique marker band at(Pex.A5) locus indicating that (Pex.A2, Pex.A3and Pex.A4) loci are polymorphic specifically. Isozyme have been used as markers in a number of genetic studies, such as genetic diversity in Brassica juncea Persson, et al., (2001). Peroxidase are enzymes related to polymer synthesis in cell wall (Bowles, 1990), as well as in the prevention of oxidative damage caused by environmental stress to the membrane lipids (Kalir, et al., 1984). It was found that salt stress increased peroxidase bands intensity. Acacia Tortilis ssp. radiana (Siwa) showed higher band intensity compared with the other species. Plant peroxidase have been used as biochemical markers for various types of biotic and Abiotic stresses due to their role in very important physiological processes, like control of growth by lignifications, cross linking of pectins and structural proteins in cell wall, catabolism of auxins (Gaspar, et al., 1982). Table 4 . Different loci of peroxidase activity among Acacia species - Proline content (μmoles / g fresh weight) Proline is an amino acid and compatible solute commonly accumulates in many plants exposed to various stress conditions such as salinity. Under stress condition, Proline is synthesized from glutamate due to loss of feedback regulation in the Proline biosynthetic pathway (Boggess and Stewart, 1980). Data in (Figure 1) indicated clearly that, Acacia Tortilis ssp. Radiana (Siwa) had the highest value of proline content was 43.4 μmoles / g fresh weight compared with the lowest one 7.6 μmoles / g fresh weight for Acacia sclerosperma. There were highly significant variations among all species in relation to proline content and this formula is gained by the environmental effects and conditions. Siwa oasis had special conditions in addition to increase the level of salt soil compared with other localities. Acacia Tortilis ssp. Radiana (Borg Al-Arab) had the second value in proline content by 23.1 (μmoles / g fresh weight). The aforementioned results supported the conclusion that proline was more accumulated in the salt, dry soil genotype, and may be useful as a possible salt injury sensor in plants. This variation of proline could be useful in selection for salt tolerance and used as a marker of salt tolerant plants. Similar results were obtained by Shen and Shen, (1992). They observed that under high NaCl concentrations, the percentage of free Genotypes Pex.C1 Pex.A1 Pex.A2 Pex.A3 Pex.A4 ◌ Pex.A5 Tortilis ssp.radiana(Siwa) 1 0 1 1 0 1 Tortilis ssp.radiana(Borg) 1 0 1 0 1 0 Acacia farnesiana 1 1 0 0 0 0 Acacia stenophylla 1 0 0 1 0 0 Acacia sclerosperma 1 0 0 1 0 0 Acacia saligna 1 0 0 0 1 0 J. Adv. Agric. Res. (Fac. Agric. Saba Basha)
89 - - Vol. 19 (1), 2014 proline in total amino acids markedly increased in barley seedlings. Genotypic variations in proline accumulation have been observed in many studies and attempts were made to correlate its accumulation with tolerance of plants to stress. This apparent correlation between proline accumulation and environmental stress suggests that proline could have a protective function (Ahmed and Hasan, 2011). Figure 1. Proline content (μmoles/g fresh weight) in some Acacia species C- Molecular Markers: Plant molecular geneticists are currently used RAPD markers routinely to identify genetic variations (Irwin et al., 1998 and Sun et al., 1998). RAPD markers have been also used successfully in various taxonomic and phylogenetic studies (Wilkie, et al., 1993). In addition, it locates regions of the genome linked to agronomically important genes (Pillay and Kenny 1996). Furthermore, it facilitates introgression of desirable genes into commercial accessions (Lavi et al. ,1994). In a total of 156 fragments, DNA banding pattern OPA-18 primer is presented in Table (5). Five fragments were produced in the six samples of Acacia species with molecular weight ranging from 251 to 832 bp. Three monomorphic and two polymorphic bands were recorded with polymorphism degree reach to 40%.While 18 fragments were observed with OPB-03 primer. Molecular weight ranged from 469 to 2264 bp. one monomorphic DNA bands, eleven unique bands and three polymorphic bands were recorded with polymorphism degree reach to 93.3%. Ten fragments with molecular weight 326 to 1503 bp were recorded for OPC-02 primer and polymorphism degree reach to 70 %. Three monomorphic DNA band, four unique DNA bands and three polymorphic bands were recorded. The amplified DNA fragments of the studied of Acacia species with primer OPD-03 are tabulated in Table (5). Eleven fragment with wide molecular weight extended from 299 to 3178 bp. Three monomorphic bands, four unique bands and four polymorphic bands were observed. This primer revealed polymorphism degree reach to 72.7%. Finally, primer OPE-12 gave nine fragment bands with the six samples of Acacia species their molecular weightwere 295 to 1600 bp. two monomorphic bands, two unique bands and five polymorphic bands were recorded with polymorphism level 77.8 %. RAPDs are generated by applying the polymerase chain reaction (PCR) to genomic DNA samples, using randomly constructed oligonucleotides as primers. Since the technique is relatively easy to apply to a wide array of plant J. Adv. Agric. Res. (Fac. Agric. Saba Basha)
90 - - Vol. 19 (1), 2014 and animal taxa, and the number of loci that can be examined is essentially unlimited, RAPDs are viewed as having several advantages over RFLPs and DNA fingerprints. When the primers are of intermediate size (on the order of 10 base pairs), multiple amplifiable fragments (from different loci) are usually present for each set of primers in each genome. The fragments can be separated by size on a standard Agarose gel and visualized by ethidium bromide s t a i n i n g , elim inat ing the need for radio labeled probes. Since the primers consist of random sequences, and do not discriminate between coding and nonbonding regions, it is reasonable to expect the technique to sample the genome more randomly than conventional methods. Morphological and genetic diversity among Acacia aroma, A. macracantha, A. caven, and A. furcatispina were studied with morphometric, isozymal, and RAPD approaches by Paola et al. (2002). The analysis of seven isozyme systems revealed 21 loci, and RAPD analysis showed 34 loci. Most of these loci allowed us to differentiate the species, with the exception of A. aroma and A. macracantha, the two most similar species. The levels of genetic variability estimated by isozymes were higher than those obtained from RAPD analyses. Morphometric characters showed highly significant differences among the species, although A. aroma and A. macracantha are differentiated only by thorn length. J. Adv. Agric. Res. (Fac. Agric. Saba Basha)
92 - - Vol. 19 (1), 2014 High similarities and high indirect gene flow were found between A. aroma and A. macracantha, results that call the relationship between them into question. To study the genetic similarities and phylogenetic relationships among the six tested samples of Acacia species were based RAPD-PCR. The obtained data were subjected to cluster analysis with dice equation by using SPSS (ver.15) computer program to calculate proximity matrix and design dendogram.Genetic similarity values generated from RAPD marker varied between 0.60 and 0.78 with an average of 0.69. Dendogram based on similarity values (Table 6) from RAPD was constructed to reveal similarities between the five different Acacia species. The dendogram (Figure 2) demonstrated that the sample of Acacia species fall into two main groups. The first one was divided into two clusters containing 4 and the second continue 5 and 6 in similarity from 73 to 77%. The second one divided into two sub clusters. According to similarity, the first one contained 3 and the second continue 1 and 2 in similarity from 71 to 74 %. C A S E 0 5 10 15 20 25 Label Num +---------+---------+---------+---------+---------+ Tortilis (wild) 1─┬───────────────────────┐ Tortilis (domes.)2─┘ ├───────────────────────┐ Farnesiana 3 ─────────────────────────┘ │ Sclerosperma 5 ─────┬───────────────────┐ │ Saligna 6─────┘ ├───────────────────────┘ Stenophylla 4 ─────────────────────────┘ Figure 2. Dendrogram of similiratiy of different Acacia species based on 5 RAPD primers. Table 6. DNA specific unique markers based on RAPD-PCR primers of different Acacia species. Species DNA specific unique marker Length (bp) Total 1-Tortilis ssp. radiana (wild ) 1600, 1616 and 3178 3 2-Tortilis ssp. radiana (domesticated) 793,833 and 622 3 3-Farnesiana 326, 483, 542, 609, 625, 932 and 1103 7 4-Stenophylla 1374 and 2264 2 5-Sclerosperma 295, 1601 and 3035 3 6-Saligna 1218, 1479 and 2085 3 Total 21 The characterization of a DNA sample by Random Amplified Polymorphic DNA (RAPD) analysis, which is often referred to as DNA "fingerprinting", has attracted considerable attention in the last ten years. RAPD is possibly the simplest test of all recently applied DNA-based tests for date palm identification (Trifi et al., 2000).RAPD as a molecular marker system has also been successfully applied in cultivar identification. RAPD analysis is normally found to be easy to perform but J. Adv. Agric. Res. (Fac. Agric. Saba Basha)
93 - - Vol. 19 (1), 2014 has the major disadvantage that reproducibility is difficult to achieve between different laboratories and often even between different people in the same laboratory (Jones et al., 1997). Any diagnostic laboratory, which intends to use RAPD analysis as a quality control tool, has, therefore; firstly to ensure constant detection of identical DNA amplification products by several-fold repeated experiments preferably by different people. Elimination of possible variation in both DNA concentration and purity and assurance of consistent reaction conditions maybe a first step to overcome difficulties with assay reproducibility (Williames et al., 1990). Fagg and Allison (2004) reported variation in chemical composition, molecular as well as morphological characteristics between Ugandan and Sudanese populations of A. senegal. Our results in a lien with Shrestha et al. (2000) on A. raddiana populations and reported that there are a high degree of polymorphism, contrary to the conventional expectation of small, isolated populations. It is a maxim of conservation biology that the maintenance of genetic variation is important because future evolutionary adaptation depends on the existence of genetic variation. Isozyme studies have also indicated that the West African provenances of A. senegalvar. Senegal show little variation (Boer, 2002). Lower H values were also obtained in four Argentinean species of Acacia by Casiva et al. (2002) using isozymes and RAPD markers. Similar to the range of our H value, Playford et al. (1993) found high levels of genetic diversity (0.208) in Acacia melanoxylon population in association with a great genetic differentiation among geographic areas. The percent polymorphic loci (P) values obtained in this study were by far higher than those observed in Acacia caven (29.4%) (Casiva et al., 2002), Acacia anomala (43%) (Coates, 1988) and Faidherbia albida (42.7%) (Dangasuk and Gudu, 2000). However, similar results were obtained in Haloxylon ammodendron (74.9%) by Sheng et al. (2005) using ISSR markers, in Changium smyrnioides (69%) by Fu, et al. (2003) using RAPD markers and in F. albida (90%) reported by Joly, et al. (1992) using isozymes. Several authors have studied the taxonomy of Acacia using morphological characters (Vassal, 1972; Guinet and Vassal, 1978; Cialdella, 1984, 1997and Pedley, 1986), in the last ten years some have used biochemical and molecular markers instead (Playford, et al., 1992; Bukhari, 1997a and Clarke, et al., 2000). Biochemical and molecular studies have been conducted on African and Australian Acacia species to provide markers useful for plant breeding and conservation programs (Moran, et al., 1989a, b; Muona, et al., 1991; Joly, et al., 1992; Sedgley, et al., 1992; Playford, et al., 1993; Fagg, et al., 1997 and McGranahan, et al., 1997). However, no population genetic studies have been carried out so far on Argentinean species of Acacia. Isozyme electrophoresis and random amplified polymorphic DNA (RAPD) analysis are broadly used in plant population genetic studies (Soltis and Soltis, 1990; Avise, 1994; Soltis, et al., 1998 and Hollingsworth, et al., 1999). Mainly, RAPD has allowed the resolution of complex taxonomic relationships (Voigt, et al., J. Adv. Agric. Res. (Fac. Agric. Saba Basha)
94 - - Vol. 19 (1), 2014 1995; Comincini, et al., 1997; Cottrell, et al., 1997and Wolff and Richards, 1999).
References
Ahmed, J., and M. Hasan . 2011. Evaluation of seedling proline content of wheat genotypes in relation to heat tolerance. Bang J Bot., 40, 17-22. Avise , J. C. 1994.Molecular markers, natural history, and evolution. Chapman & Hall, New York, New York, USA. Bardakci, F. 2000.Random amplified polymorphic DNA (RAPD) markers. Turkish Journal of Biology, 25: 185-196. Barnes, R.D.2001.The African Acacia: A thorny subject. South African Fore.J.,190: 9–18. Bates, L.S., R.P. Waldren and L.D.Tear. 1973.Rapid determination of free proline for water-stress studies. Plant Soil. 39: 205-207. Blakesley, D., A. Allen, T.K. Pellny and A.V. Roberts. 2002.Natural and induced polyploidy in Acacia dealbata link and Acacia mangium Willd. Ann. Bot., 90: 391- 398. Boer, E. 2002.Acacia senegal (L.) Willd. Record from Protabase. In:Oyen, LPA, Lemmens RHMJ, (eds) PROTA (Plant Resources of Tropical Africa), Wageningen, the Netherlands Boggess, S.F. and C.R. Stewart. 1980. The relationship between water stress induced proline accumulation and inhibition of protein synthesis in tobacco leaves. Plant Sci. Letts., 17: 245-252. Boulos, L.1999.Flora of Egypt, Vol. 1, AL-Hadara Pub., Cairo, Egypt. Bowles, D.J. 1990.Defense-related proteins in higher plants, Ann. Rev., 59: 873-907. Boxshall, B. and T. Jenkyn. 2001.Eumong- River Cooba, Acacia stenophylla, Farm Forestry Species Profile for North Central Victoria, Department of Primary Industries, Victoria (DPI). Bukhari, Y.M. 2002.Seed weight and protein concentration of whole seed, cotyledons and seed coat of 57 accessions of Acacia and Prosopis (Mimosaceae): Phylogenetic and nutritional implications. Indian For.,128: 686–99. Bukhari,Y. M.1997a.Nuclear DNA amounts in Acacia and Prosopis (Mimosaceae) and their evolutionary implications. Hereditas, 126: 45-51. Casiva, P.V., B.O.Saidman, J.C. Vilardi and A.M. Cialdella. 2002.First comparative phenetic studies of Argentinean species of Acacia (Fabaceae), using morphometric isozymal and RAPD approaches. Am. J. Bot. 89: 843-853. Cialdella, A. M. 1984. El género Acacia (Leguminosae) en la Argentina. Darwiniana, 25: 59-111. Cialdella, A. M. 1997. Acacia. In A. T. Hunziker [ed.], Flora fanerogámica Argentina, fascicle 25, 3–21.Proflora Conicet, Córdoba, Argentina. Clarke, H. D., S. R. Downi and D. S. Seigler. 2000. Implications of chloroplast DNA restriction site variation for systematics of Acacia (Fabaceae: Mimosoideae). Systematic Botany, 25: 618-632.
Coates, D.J. 1988.Genetic Diversity and Population Genetic Structure in the rare Chittering Grass Wattle, Acacia anomala Court. Australian Journal of Botany. 36:273-286. Comincini, S. M., Sironi C., Bandi C., Giunta M., Rubuini , F. F., Cottrell J. E. ,G. I. Forrest and I. M. S. White. 1997.The use of random amplified polymorphic DNA markers to identify and estimate the relatedness of clones belonging to the genus Populus. Botanical Journal of Scotland, 49: 89-102. Cottrell, J.E, G. I. Forrest. and I.M.S. White. 1997.The use of Random Amplified Polymorphic DNA markers to identify and estimate the relatedness of clones belonging to the genus Populus.Bot J. Scotl., 49, 89-102. Fagg , C.W. and G.E. Allison. 2004. Acacia senegal and gum Arabic trade. Oxford Forestry Institute. Trop. For. papers No. 42. Fagg, C. W., R. D. Barnes and C. Marunda.1997. African AcaciaTrials Network: a seed collection of six species for provenance-progeny test: held at the Oxford Forestry Institute. FAO-Forest Genetic Resources, 25, Oxford, UK. Fatima, E.A., N. A. Aabd, A. E. Finti, F. Msanda, F. Baniaameur and A. El Mousadik. 2011.Genetic variability of Wild Provenances of Acacia tortilis ssp. raddiana (Savi) Brenan in South of Morocco. Asian Journal of Plant Sciences, 10: 43-51. Fu, C., Y. Qiu. and H. Kong. 2003.RAPD analysis for genetic diversity in Changium smyrnioides (Apiaceae), an endangered plant. Austr. J. Bot., 36:263-276. Gaspar, T., C. Penel, T. Thorpe, and H. Greppin.1982. Peroxidases: A survey of their biochemiappropriate peroxidase substrates availcal and physiological roles in higher plants.Univ. of Geneva, Switzerland. Guinet,P. and J. Vassal. 1978.Hypotheses on the differentiation of the major groups in the genus Acacia (Leguminosae).Kew Bulletin, 32: 509–527. Hadrys, H., M. Balick, and B. Schierwater. 1992.Applications of random amplified polymorphic DNA (RAPD) in molecular ecology. Molecular Ecology, 1: 55-63. Hollingsworth, P. M., R. M. Bateman and R. J. Gornall.1999.Molecular systematics and plant evolution. Taylor and Francis, London, UK. Hussium, S.L. , R. Vierling, and R.G.Sears. 2000. Identification and napping of polymorphism in cereal based on the polymerase chain reaction // Theor. Appl. Genet., 82: 209 - 216. Irwin, S. V., P. Kaufusi, K. Banks, R. de la Pena and J. J. Cho.1998. Molecular characterization of taro (Colocasia esculenta) using RAPD markers. Euphytica, 99:183-189. Joly, H. I ., M. Zeh-Nio, P. Danthu and C. Aygalent. 1992. Population genetics of an African acacia: Acacia albida. Genetic diversity of populations from West Africa. Austr. J. Bot., 40: 59-73. Joly, R.J., A. Maggio and M.P. Reddy. 2000. Leaf gas exchange and solute accumulation in the halophyte Salvadora persica grown at moderate salinity. Env. Exp. Bot., 44.31-38.
Jones, C.J., K.J. Edwards, and et al. 1997.Reproducibility testing of RAPD, AFLP and SSR markers in plants by a network of European laboratories. Mol. Breed., 3: 381-390. Kalir, A., G. Omri and A. Poljakoff-Mayber. 1984. Peroxidase and catalase activity in leaves of Halimione portulacoides exposed to salinity. Physiologia Plantarum, 62: 238-244. Khatoon, S. and S.I. Ali. 2006.Chromosome numbers and polyploidy in the Legumes of Pakistan. Pak. J. Bot., 38: 935-945. Koebner, R.M.D. and R.W. Summers. 2003.21st century wheat breeding:Plot selection or plate detectionTrends Biotechnol 21: 59– 63. Lavi, V., M. Akkaya, A. Bhagwat, E. Lahav, and P.B. Cregan. 1994. Methodology of generation and characteristics of SSR DNA repeat in Avocado (Persea Americana M.).Euphytica ,80: 171-177. Mackill, D.J., H.T. Nguyen and J. Zhan.1999. Use of molecular markers in plant improvement programs for rainfed lowland rice. Field Crops Res., 64: 177–185. Marcili, A. et. al. 2009.Trypanosoma cruzi in Brazilian Amazonia: Lineages TCI and TCIIa in wild mates,Rhodnius spp. and in humans with Changes disease associated with oral transmission. International Journal of Parasitology, 39(5): 615-23. Maslin, B. 2003. Proposed name changes in Acacia. Native Plants: Newsletter of the Australian Plants Society, New South Wales, 38(1), pp. 12–18. Maslin, B.R., J.T. Miller and D.S. Seigler. 2003. Overview of the generic status of Acacia (Leguminosae: Mimosoideae). Australian Systematic Botany, 16, 1–18. McGranahan, M., J.C. Bell, G.F. Moran and M. Slee. 1997.High genetic divergence between geographic regions in the highly out crossing species Acacia aulacocarpa (Cunn.Ex Benth.).For.Genet., 4: 1-13. Moran, G. F. O. Muona and J. C. Bell. 1989a. Acacia mangium: a tropical forest tree of the coastal lowlands with low genetic diversity. Evolution, 43: 231-235. Moran, G. F. O. Muona and J. C. Bell.1989b. Breeding systems and genetic diversity in Acacia auriculiformis and Acacia crassicarpa. Biotropica, 21: 250-256. Muona, O., G. F. Moran and J. C. Bell. 1991. Hierarchical patterns Of correlated mating in Acacia melanoxylon. Genetics, 127: 619-626. Orwa, C., A. Mutua, R. Kindt, R. Jamnadass and S. Anthony. 2009. Agrofores tree Primary Industries, Victoria (DPI).prolinefor water stress studies. Plant and Soil, 39: 205-207. Paola,V.C., B.O.Saidman, J.C.Vilardi and A.M.Cialdella .2002. First comparative phenetic studies of Argentinean species of Acacia (Fabaceae), using morphometric, isozymal, and RAPD approaches Am. J. Bot., 89:843-853. Pedley, L. 1986. Derivation and dispersal of Acacia (Leguminosae), with particular reference to Australia, and the recognition of Senegalia and Racosperma. Botanical Journal of the Royal Linnean Society, 92: 219–254. Persson, K., A.S. Falt and R. Von Bothmer. 2001. Genetic diversity of allozymes in turnip (Brassica rapa L. var. rapa) from the Nordic area. Hereditas, 134: 43-52.
Pillay, M. and S.T. Kenny. 1996. Structure and inheritance of ribosomal DNA variants in cultivated and wild hop, Humulus lupulus L. Theor. Appl. Genet., 93:333–340. Playford, J. R. Appels and B. R. Baum. 1992.The 5S DNA units of Acacia Species (Mimosaceae). Plant Systematics and Evolution, 183: 235-247. Playford, J., J.C. Bell and G.F. Moran. 1993.A major disjunction in genetic diversity over the geographic range of Acacia melanoxylon R. Br. Austr. J. Bot., 41: 355-368 Ross, J.H. 1979.A conspectus of the African Acacia species. In:Memoirs of the Botanical Survey of South Africa n_44 (ed. Killick DJB), p. 155. Botanical Research Institute, Pretoria. Ross, J.H. 1981. Analysis of the African Acacia species: their distribution, Possible origins and relationships. Bothalia, 13:389-413. Sedgley, M., J. R. Harbard, M. M. Smith, R. Wickneswari and A. R. Griffin. 1992. Reproductive biology and interspecific hybridization of Acacia mangium and A. auriculiformis A. Cunn. ex Benth. (Leguminosae: Mimosoideae). Australian Journal of Botany, 40: 37-48. Sharma, R. K. , A. Ahuja, M. Sharada and C.M. Govil. 2009. Biochemical changes associated with morphogenesis in saffron. In, Plant Tissue Culture and Moelcular Markers; Their Role in Improving Crop Productivity. Edited by Ashwani Kumar, N.S. Shekhawat, Sudhir Sopory, 2009 I.K. International Publishing House Pvt. Ltd.. New Delhi, India, pp 531-547. Shaw, P.J., G. Tononi, R.J. Greenspan and D.F. Robinson. 2002. Stress response genes protect against lethal effects of sleep deprivation in Drosophila. Nature, 417(6886): 287--291. Shen, Z.G. and Q.R. Shen. 1992.Effect of NaCl stress on the accumulation of Some nitrogenous components in barley seedlings under different nitrogen levels. Plant Physiol Comm., 28 (3) : 189-191. Sheng, Y., W. Zheng, K. Pei and K. Ma .2005. Genetic variation within and Among populations of a dominant desert tree Haloxylon ammodendron (Amaranthaceae) in China. Ann. Bot., 96(2): 245-252. Shrestha, M.K., D. Ward and A. Golan-Goldhirsh. 2000.Genetic diversity and water stress in isolated Negev desert populations of, Acacia raddiana.Communicating and Advancing Ecology. The Ecological Society of America 85th Annual meeting. (Abstract), p. 337. Snowdon, R. and W. Friedt. 2004. Molecular markers in Brassica oilseeds breeding: Currentstatus and future possibilities. Plant Breed., 123: 1–8. Soltis, D. and P. Soltis.1990.RAPD analysis of systematic relationships among the Cervidae. Heredity, 76: 215-221. Soltis, D., P. Soltis and J. Doyle.1998. Molecular systematics of plants II: DNA sequencing. Kluwer Academic, Norwell, Massachusetts, USA. Sun, Q., Z. Ni., Z. Litu, J. Gao and T. Huang. 1998.Genetic relationships and diversity among Tibelian whets, common wheat and European spelt wheat revealed by RAPD markers. Euphytica., 99: 205 - 211. Tanksley, S.D. 1983.Molecular markers in plant breeding. Plant Mol.Biol.Rep.,1:3-8.
Tanksley, S.D., N .D. Young, A.H. Paterson, and M.W. Bonierbale. 1989. RFLP mapping in plant breeding: New tools for an old science. Bio/Techn., 7:257-264. Trifi, M., A. Rhouma and M. Marrakchi. 2000.Phylogenetic relationships in Tunisian date palm (Phoenix dactylifera L.) germplasm collection using DNA amplification fingerprinting. Agronomie ,20: 665-671. Tuberosa, R., S. Salvi, M.C. Sanguineti, M. Maccaferri, S. Giuliani and P. Landi. 2003.Searching for quantitative trait loci controlling root traits in maize: A critical appraisal. Plant and Soil ,255: 35–54. Vassal, J. 1972.Apport des recherches ontogeniques et seminologiques a l'etude morphologique, taxonomique et phylogenique du genre Acacia Bull.de la Societe d'Histoire Naturelle (Toulouse),108:105-247. Voigt, K. S. Schleiler and B. Brückner. 1995. Genetic variability in Gibberella fujikuroiI and some related species of the genus Fusarium based on random amplification of polymorphic DNA (RAPD). Current Genetics 27,: 528-535. Wasowski, S. and A. Wasowski.2003.Native Gardens for Dry Climates. Published by Clarkson Potter Publishers, New York, U.S.A. Wilkie, S.E., P.G. Isaac and R.J. Slater. 1993. Random amplified polymorphic DNA (RAPD) markers for genetic analysis in Allium. Theoretical and Applied Genetics, 86: 497–504. Williames, J.K., A. Kubelik, K.J. Livak, J. A. Rafalski and S.V. Tingey. 1990. DNA polymorphisms amplified by arbitrary primers are useful as genetic markers. Nucleic Acids Res., 18:6531-6535. Winter P. and G. Kahl.1995. Molecular marker technologies for plant improvement. World Journal of Microbiology &Biotechnology, 11: 438- 448. Wolff, K. M. and M. Richards.1999.The use of RAPD data in the analysis of population genetic structure: case studies of Alkanna (Boraginaceae) and Plantago (Plantaginaceae).In P. M. Hollingsworth, R. M. Bateman, and R. J.Gornall [eds.], Molecular systematic and plant evolution, 51–73.Taylor and Francis, London, UK.