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Indian Journal of Pure & Applied Biosciences (IJPAB)
Year : 2020, Volume : 8, Issue : 4
First page : (267) Last page : (281)
Article doi: : http://dx.doi.org/10.18782/2582-2845.8261

Karyological and Genetic Diversity Study Using Molecular Marker among Three Species of Oilseed Brassica L.

Faria Akbar , Madhury Paul and Kazi Nahida Begum*
Department of Botany, Faculty of Life and Earth Science,
Jagannath University, Chittaranjan Avenue, Dhaka-1100, Bangladesh
*Corresponding Author E-mail: kazinahida@yahoo.com
Received: 17.06.2020 | Revised: 23.07.2020 | Accepted: 29.07.2020

ABSTRACT

Brassica campestris var. Agrani, B. juncea var. BARI Sharisha-16 (BS-16) and B. napus var. BARI Sharisha-13 (BS-13) are the three different oilseed crops belonging to the genus Brassica, have been investigated to amass genetic information through cytogenetic characterization by orcein staining and to unveil phylogenetic relationships among these three species by karyomorphological analyses with respect to their asymmetry indices. B. campestris var. Agrani, B. juncea var. BS-16 and B. napus var. BS-13 were found to possess different somatic chromosome number along with varied karyotype formulae, 2n=20=20m, 2n=36=30m+6sm and 2n=38=34m+4sm, respectively. The investigation also aimed at exploring the genetic divergence and selection of improved variety among the three Brassica species by protein banding pattern obtained from polyacrylamide gel electrophoresis (PAGE). According to Nei’s genetic distance analysis, the highest genetic distance found between B. juncea var. BS-16 was 0.4700. Contrastingly, the lowest genetic distance found between B. campestris var. Agrani and B. napus var. BS-13 was 0.2877. B. juncea var. BS-16 was found at distant position in the phylogenetic tree and may displayed diverse nature from other two species of Brassica L. The values of different karyomorphological indices also presaged that B. juncea var. BS-16 exhibited some degree of asymmetry and may express with relatively advanced nature than the other two studied species in respect of evolutionary perspective. Therefore, this study regarding detailed karyomorphological data and determination of genetic relationship would be beneficial to the breeders of Brassica for proper characterization, designing upcoming breeding programs and conservation purposes of plant genetic resources of Brassica variants.

Keywords:Karyotype, Asymmetry, PAGE, Brassica L.

Full Text : PDF; Journal doi : http://dx.doi.org/10.18782

Cite this article: Akbar, F., Paul, M., & Nahida Begum, K. (2020). Karyological and Genetic Diversity Study Using Molecular Marker among Three Species of Oilseed Brassica L., Ind. J. Pure App. Biosci. 8(4), 267-281. doi: http://dx.doi.org/10.18782/2582-2845.8261

INTRODUCTION

Brassicaceae is one of the vast families of angiosperm comprising of 338 genera and 3709 species and distributed all across the world, mostly in temperate areas of the Northern Hemisphere (Kasem et al., 2011). Among these genera, the genus Brassica L. includes around 37 economically important species worldwide, along a broad range of inherited and morphological diversities (Rakow, 2004). The genus - Brassica is significant for producing more important agronomical and horticultural crops such as oilseed, vegetables, remedy, flavoring materials and plenty of end products utilized by humans than other genus (Akbar & Begum,2020). In Bangladesh, the Brassicaceae family is mentioned with 12 genera and 24 species (Ahmed et al., 2008).
Identification of chromosome and karyotype construction is a stand out amongst the most vital objectives in cytogenetic investigations. Karyotyping, a helpful tool in cytogenetic examinations, which uncovers the number and attributes of chromosomes and can be utilized to illustrate the origin, ploidy and phylogenetic relationship among plants (Xiong et al.,2011; Eroğlu et al., 2013). The karyotype and its different component characteristics are utilized as a measure to decode karyoevolutionary patterns (Lavania & Srivastava, 1992). Therefore, comparative analysis of karyotype of related species has been used classically to delimitate patterns and the way of evolution of chromosomes within plant groups and to deduce the evolutionary mechanism of chromosomal changes in evolution of plants (Kamel et al., 2014).
For appropriate conservation and management of particular species, it is necessary to characterize with genetic makeup. When extensive genetic diversity and the data of these genetic resources are accessible, genetic improvement of crops can be accelerated. Molecular marker analysis helps in deciding parental forms for population mapping, marker aided choices and schemes of back cross and as a consequence different molecular markers are utilized to carry out diversity studies that help the breeders to ameliorate crop species (Begum & Alam, 2019; Paul et al., 2020). Storage proteins been employed as biochemical markers in various field such as study of genetic diversity between and within accessions, establishment of genome relationships and as an implement for improvement of crop (Ahmed, 2012). Characterization based on proteins and choice of alluring genotypes is extraordinary significant for mustard-rapeseed breeders. Hence the electrophoresis of storage protein of Brassica species is considered as a feasible method to investigate genetic variation and to align plant varieties (Turi et al., 2010).
A number of studies have been accomplished by various researchers from different parts of the world on the molecular characterization and evaluation of genetic diversity of Brassica germplasm with seed storage protein through SDS-PAGE (Rabbani et al., 2001; Rahman & Hirata, 2004; Sadia et al., 2009; Turi et al., 2010; Toosi et al., 2011; Choudhary et al., 2015). But no study has yet been found on the assessment of genetic divergence and molecular characterization of Brassica L. with only PAGE technique. In this present study, our investigation was put through with the assistance of PAGE technique from stored protein of leaf to assess genetic diversity and relationship of Brassica L. Olin-Faith and Heneen (1992), Olin-Faith (1994; 1996) and Hasterok and Maluszynska (2000) studied on the identification and basic cytogenetical characterization of B. campestris and B. napus, while B. juncea was reported by Mukherjee (1975), Kulak et al. (2002), Ma et al. (2019) and Sun et al. (2019) where all of them performed different methodological approaches with differential staining techniques. On the contrary, in our current study- cytogenetical analysis has been carried out by orcein staining with detailed karyomorphological characterization of three species of Brassica L. Reports of comprehensive karyological study along with the study of molecular characterization and genetic diversity through biochemical marker (PAGE) on available variants of Brassica L. hasn’t been found from Bangladesh yet.
Though Brassica L. are financially imperative oilseed crop everywhere throughout the world, numerous studies have been inaugurated globally with a view to characterize and extend distinctive chemical constitute by developing new variants with optimized bio-productivity. In these sorts of research the information on hereditary constituents is absolutely vital. Thereupon, to attain the complete success over the on-going studies of molecular genetics, the traditional cytogenetical investigations are nonetheless required due to the fact that they offer significant corroborations regarding numerical and structural attributes of chromosome complements in the light of karyotype construction. No advanced cytogenetical research has so far been led to characterize every species in Bangladesh, hence in the present research work, three oilseed crops of Brassica L. (B. campestris var. Agrani, B. juncea var. BS-16 and B. napus var. BS-13) were analyzed cytogenetically for proper identification and characterization with karyomorphological data to explain the structural alteration of karyotype within chromosome sets and at the same time to determine the possible phylogenetic relationship, genetic divergence and selection of improved variety among the three species within the genus Brassica L. through Polyacrylamide Gel Electrophoresis.

MATERIALS AND METHODS

Plant materials
Three oilseed crops of Brassica L. namely, B. campestris var. Agrani, B. juncea var. BS-16 and B. napus var. BS-13 were studied in this experiment. Among the three Brassica species, the seeds of B. campestris var. Agrani were collected fromBangladesh Institute of Nuclear Agriculture (BINA), Mymensingh, Bangladesh. On the other hand, the seeds of B. juncea var. BS-16 and B. napus var. BS-13 were collected from the Oilseeds Research Center (ORC) of Bangladesh Agricultural Research Institute (BARI), Joydebpur, Gazipur, Bangladesh. These three species were planted in earthen pots in the net house and maintained in the Botanical garden of Jagannath University; whereas cytogenetical analysis and the analysis of genetic diversity from leaf storage protein by polyacrylamide gel electrophoresis was carried out in the Cytogenetics Laboratory of department of Botany, Jagannath University, Dhaka, Bangladesh.
Cytogenetical Analysis
The seeds of studied species were germinated on filter paper moistened with distilled water on Petri dishes. Healthy roots of 31.5-32 hours old germinating seeds were collected and pre-treated for 45-50 minutes at room temperature with 8- hydroxiquinoline (0.002%). Afterwards, fixation was done in 45% acetic acid for 15 minutes at 4 ºC, washed with distilled water for 3-4 times and preserved in 70% alcohol at 4 ºC for further use. The pre-treated roots were then hydrolyzed for 8-10 minutes in 1N HCl at 65 ºC. The root tips were squashed and stained in 1% aceto-orcein for 5-6 hours. Then these slides were observed, the best metaphase plates were photographed (100x) with a digital camera (model - 8 mega pixels Canon power shoot PC1564, 7.0X magnification, auto mode mounted on Nikon eclipse 100 microscope).
Chromosome counts were conducted on metaphase plates with well spread chromosomes. At least five metaphase plates were chosen for getting ready the karyotype of each species. Karyotypes were arranged according to the total length of homologous pair of diploid chromosomes. Karyotype formula for every species was determined from the number of somatic chromosomes as well as the centromeric position of respective chromosomes. Proposal of Levan et al. (1964) was followed for the nomenclature of chromosomes. The ideograms were prepared depend on the size of haploid chromosomes in descending manner. Individual and total haploid chromosome lengths were also determined. “Microsoft Excel” and the computer based programs “KaryoType_Win_2” (Altınordu et al.,2016), have been both used to prepare ideogram and to evaluate various karyological parameters.
Various karyomorphological parameters, indices of symmetry and asymmetry were performed to enunciate the degree of asymmetry of karyotype with such as coefficient of variation of centromeric index and chromosome length (CVCI and CVCL) (Paszko, 2006), the total form percent (TF%) (Huziwara, 1962), the index of karyotype symmetry and chromosomal size resemblance (Syi% and Rec%) (Greilhuber and Speta, 1976), mean centromeric asymmetry (MCA) (Peruzzi and Eroğlu, 2013), the Karyotype asymmetry index (AsK%) (Arano, 1963), the intra and inter chromosomal asymmetry index (A1and A2) (Zarco, 1986), the degree of asymmetry of karyotype (A) (Watanabe et al., 1999), the asymmetry index (AI) (Paszko, 2006) and Stebbins’s classification (Stebbins, 1971).
Molecular Identification
Isolation and Estimation of Leaf Protein
Crude protein of three studied Brassica species were extracted using fresh and young leaves collected from about one month old seedlings following the modified method of Paul et al. (2020). For diverging the spores of microorganisms and other dirt, young and fresh leaves were rinsed with distilled water and ethanol, respectively and kept on clean filter paper for few minutes in order to soak the excess ethanol from the surface of leaves. 2 gm of fresh leaves of each sample was grinded with the help of ice-cold mortar pestle and the unrefined homogenates were then centrifuged at 4 ºC with 13000 rpm for 15 minutes. After centrifugation of the samples, the protein recovered as clear supernatant on the top of the eppendorf tube. Then the supernatant was preserved at -20 ºC as samples for the vertical polyacrylamide gel electrophoresis until its use.
To estimate the concentration of leaf storage protein from the three studied species of Brassica, method of Lowry et al. (1951) was followed. Absorbance of each sample Brassica species were obtained with the help of spectrophotometer (model – SV 1600) by 660 nm wavelength.
Polyacrylamide Gel Electrophoresis (PAGE)
Vertical polyacrylamide gel electrophoresis was performed for three protein samples following the method of Majumder et al. (2012) with little modification. Protein samples were directly analyzed by polyacrylamide gel electrophoresis using 10.0% polyacrylamide as separating gel and 4.0% as stacking gel. The gels were prepared as follows:
Preparation of separating gel:
2.5 ml of 1.5 M Tris-HCl buffer stock solution (pH 8.8), 4 ml of 30% polyacrylamide stock solution (2.9 g acrylamide and 0.1 g bis-acrylamide), 100 µl of freshly prepared 10% APS (Ammonium per sulfate), 3.4 ml of deionised doubled distilled water and 5 µl of TEMED were mixed gently within a falcon tube. The solution was then immediately poured with a micro- pipette into the gel casting plate to a height of 7 cm and left unimpeded for about 15-20 minutes at room temperature for polymerization.
Preparation of stacking gel:
After the polymerization of separating gel in the gel casting plate, stacking gel was prepared by adding 500 µl of 1.0 M Tris-HCl (pH 8.0), 2.78 ml of deionised doubled distilled water, 40 ml of 10% APS (freshly prepared), 3 µl of TEMED in a falcon tube and mixed with 670 µl of 30% polyacrylamide stock solution. The solution was then shaken mildly, and carefully poured over the separating gel. Just then, a comb was placed on the stacking gel solution and waited for few minutes at room temperature until the stacking gel settled down completely.
Loading dye preparation and sample loading:
Loading dye was prepared from a solution of 0.5 M Tris-HCl (pH 6.8), glycerol and deionised doubled distilled water in a volumetric ratio of 1: 1: 3 with a pinch of Bromo Phenol Blue (BPB), and mixed all of them thoroughly with the help of vortex machine. 25 μl of each protein sample along with 20 μl BPB loading dye were loaded into the wells of the stacking gel.
Gel Electrophoresis:
When loading of the protein samples in the wells was done, the process of electrophoresis was performed by using TETRAD 10-PS MINI PACK vertical electrophoresis unit with multiSUB MINI Pack constant power supply unit. The total process of electrophoresis was carried out by setting the voltage at 90 V and current at 120 amp constantly in 10X diluted Tris-glycine running buffer solution (1 TrisHCl : 5 glycine in volume ratios), pH 8.3. When the BPB dye front reached to 2 mm above to the lower end of the gel, the supply of current was then switched off. Each of the gel run took 3-3.5 hours to complete.
Staining and destaining:
Immediately after the completion of electrophoresis, the gel was get off from the gel casting plate and then stained with 0.25% Coomassie Brilliant Blue (CBB) R-250 in acetic acid : methanol : distilled water (1 : 4 : 5 volume ratios) for 20 minutes and destained in acetic acid : methanol : distilled water (1 : 4 : 5 volume ratios) for 3 hours.
Photographs:
After destaining, the gel was placed on a glass plate carefully without creating any air bubbles and the glass plate was set over a thick white paper. Then photographs of the gel were taken by a digital camera (18 mega pixels Canon EOS 700 D model).
Data analysis
Amount of protein bands observed from the gel was scored. Scoring of bands was performed on the basis of the presence (1) and absence (0) of protein bands and all the monomorphic and polymorphic bands that visible to the eyes were scored. Banding patterns were scored for each studied species from at least three gel runs. From the presence and absence of bands, genetic distance matrix (Nei, 1972) was computed to estimate genetic relationship among the studied three Brassica species using UPGMA. Computer based program “Popgene 32” (Version 1.32) (Yeh et al., 1999) was used for the construction of the phylogenetic tree.

RESULTS AND DISCUSSION

Ample karyological observations for the three species of Brassica L., viz. B. campestris var. Agrani, B. juncea var. BS-16 and B. napus var. BS-13 were carried out in the present investigation.
Cytogenetical Analysis
Somatic chromosome numbers
An analytical observations of the three species of Brassica L. were made from karyomorphological features and found to possess different mitotic complements comprising of 2n=20 in Brassica campestris var. Agrani, 2n=36 in B. juncea var. BS-16, 2n=38 in B. napus var. BS-13, respectively (Figure 1a-c, Table 1). The current report concerning 2n chromosome number of the three species of Brassica L. found consistent with the findings of antecedent researchers which are given in Table 2, and made us implied that the somatic chromosome number is a stable character for the studied species of the genus Brassica.
Karyological Analysis
Karyotypic formulae of three studied species of Brassica L. were observed diverse. B. campestris var. Agrani was found to have a karyotypic formula with 20m , in B. juncea var. BS-16, it was 30m+6sm and B. napus var. BS-13 was observed with a karyotype formula of 34m+4sm. Previously, Hasterok and Maluszynska (2000) reported 2n=20 in B. campestris having centromeric formula 10m (SAT)+6sm+4st (st=subterminal), of which a secondary constriction was observed on 10 no. chromosome along with a prominent satellite on the short arm. 30m+6sm centromeric formula was reported from B. juncea by Ma et al. (2019), which was found identical with our present disclosures. Sun et al. (2018) reported B. napus 2n=38 with karyotypic formula 28m+10sm (2SAT), two satellites were discerned at the thirteen no. pair of chromosomes. Furthermore, Skarzhinskaya et al. (1998) also delineated B. napus with karyotype formula 2n=38=20m+10sm+8st (2SAT). The disparity in the karyotypic formula made us envisaged that the modification or evolution of karyotype in these species as a result of having diverse topographical and natural variables and allude them as particular lineage. In accordance with the present investigation, there was predominance of metacentric chromosomes in the karyotypes of the three species of Brassica L. (Figure 1d-f, Table 1). The karyotype of B. campestris var. Agrani was consisted of all metacentric chromosomes (2n=20m), whereas 3 pairs of sub - metacentric and 15 pairs of metacentric chromosomes (2n=30m+6sm) were observed in B. juncea var. BS-16 and B. napus var. BS-13 was found with 4 sub - metacentric chromosomes and 34 metacentric chromosomes (2n=34m+4sm). Pericentric inversion, deletion, unequal translocation, dysploidy, spontaneous mutation, interspeciﬁc hybridization and so on may set about the differences in karyotypes. A significant and well established aspect in the evolutionary history of B. juncea and B. napus is - both of them are the product of natural interspeciﬁc hybridization. Interspeciﬁc gene ﬂow may result in chromosomal evolution by rearrangement of the chromosomes. This hybridization has been proposed as an exigent invasive and stimulus, and might even contribute in the evolution of adaptations that become worthwhile towards the success of Brassica as oilseed crops and improve productivity.
B. campestris var. Agrani, B. juncea var. BS-16 and B. napus var. BS-13 had different total diploid chromosomal length of 46.79±0.62 µm, 122.89±2.05 µm and 103.38±1.06 µm, respectively (Table 1). The average chromosomal length was found higher in B. juncea var. BS-16 (3.41µm) while B. campestris var. Agrani and B. napus var. BS-13 were found with more or less close average chromosomal length of 2.34 µm and 2.72 µm, respectively (Table 1). Percentage of relative length of individual chromosome for the studied species were 3.68–6.37 (B. campestris var. Agrani), 1.54–3.94 (B. juncea var. BS-16) and 1.28–4.18 (B. napus var. BS-13) and the range of individual chromosomal length was from 1.72–2.98 µm for B. campestris var. Agrani, 1.89–4.84 µm and 1.32–4.32 µm for B. juncea var. BS-16 and B. napus var. BS-13, respectively (Table 1). The total length of haploid chromosome complement was documented as 23.43±0.29 µm, 61.49±1.04 µm and 51.73±0.55 µm for B. campestris var. Agrani, B. juncea var. BS-16 and B. napus var. BS-13, consecutively (Table 1). Range of haploid chromosome complements were recorded 1.76–2.94 µm from B. campestris var. Agrani with no gradual decrease. Contrariwise, the range of haploid chromosome complements in B. juncea var. BS-16 and B. napus var. BS-13 were 1.98–4.78 µm and 1.39–4.20 µm, respectively (Table 1) which presents a limpid view of gradational diminution of haploid chromosomal length. According to the statement of Stebbins (1971) concerning to the category of karyotype that based on chromosome percentage with an arm ratio within chromosome complement and the proportion of longest and shortest chromosome, the karyotype categories of the three species were belonged to 2B except that of B. campestris var. Agrani, which was 1A (Table 3).
Karyosystematics is considered to be one of the worth mentioning inference for defining the genetic relationship and differentiation between species or population (Guerra, 2008). Asymmetry in karyotype can be deemed as the main impetus behind speciation whereas symmetrical karyotypes are primeval in evolution (Stebbins, 1971). The CVCI and CVCL indexes are considered as reliable metrics to grasp the variations and purvey information on the heterogeneity of chromosomes. In our study the values of CVCI and CVCL include a wide variation, ranging from 0.64 to 13.81 for CVCI and 16.87–27.53 for CVCL (Table 3). Lower chromosomal heterogeneity was observed in B. campestris var. Agrani, with CVCI and CVCL values of 0.64 and 16.87, respectively (Table 3). In the meanwhile, B. juncea var. BS-16 had found with moderately higher CVCI and CVCL values of 13.81 and 22.93 which express relatively higher chromosomal heterogeneity (Table 3). As stated through Zarco (1986) and Peruzzi et al. (2009), bi-dimentional scattered plots is considered as one of the key strategies to serve karyotype asymmetry inter relationships among species, where the two asymmetry indexes are positioned on the horizontal (X) and vertical (Y) axis and point of intersection represents as each sample species. In our experiment, CVCI and AI are ascertained as two preferable indices to exhibit the correlation for assuming asymmetry of karyotype. Higher AI and CVCI values represent asymmetric karyotype whereas lower AI and CVCI values show primeval nature of karyotype. A scattered diagram of the degree of karyotype asymmetry of three Brassica species was made with the coefficient of variation of centromeric index (CVCI) as the longitudinal coordinate and the karyotype asymmetry (AI) as the transverse coordinate, which was demonstrated in Figure 2a. B. juncea var. BS-16 was located in the upper right corner, indicating that it was the most evolved whereas B. campestris var. Agrani was located at the bottom left of B. juncea var. BS-16, which alludes it as relatively primitive in nature. Mean centromeric asymmetry (MCA) also envisaged as a useful matrix to determine karyotype asymmetry of species. A scattered diagram between MCA (X axis) and CVCI (Y axis) expressed karyotype symmetry in B. campestris var. Agrani as it depicted with lowest values of MCA (1.72) and CVCI (0.64) (Table 3) and present at the lower bottom position of the diagram (Figure 2b), at the meantime B. juncea var. BS-16 displayed karyotype asymmetry with higher MCA (8.76) and CVCI (13.81) values (Table 3) and located at the upper top position of the scattered diagram (Figure 2b). The other karyomorphological indexes, viz. TF% serves a statistical significant inverse correlation with AsK%, A1, A2, AI and A; contrariwise it possessed a high positive correlation with the Syi% index (Table 3). Regarding TF% and AsK% values (Table 3) the most symmetrical karyotype was found in B. campestris var. Agrani with higher TF% (49.13%) value and lower AsK% (50.87%) among the three species and the most asymmetrical one was found in B. juncea var. BS-16 with lower TF% (44.71%) and higher AsK% (55.29%) values. By taking into account in relation to karyotypic nature, symmetric karyotype is well conceived of as primitive and asymmetric karyotype offered with advance characters (Stebbins 1971). Based on the above all observations it can be inferred that B. juncea var. BS-16 was relatively advanced in characters than the remaining two studied species of Brassica L.in evolutionary point of view.
Molecular Analysis
A total of 20 protein bands were found to be generated consequent upon the destaining of the gel, of which six bands of protein were observed in B. juncea var. BS-16 and seven protein bands were sighted in both B. campestris var. Agrani and B. napus var. BS-13, (Figure 3a-b, Table 4). Of these protein bands appeared at eight different loci designated as A, B, C, D, E, F, G and H, respectively (Figure 3a-b). From the verdict of existing study 14.29% polymorphism was documented from both Brassica campestris var. Agrani and B. napus var. BS-13 and B. juncea var. BS-16 was recorded with 33.33% polymorphism (Table 4). 20.64% average amount of polymorphism was found from the three species of Brassica L. (Table 4), which endorsed the presence of low genetic variability as a result of low polymorphism among the studied species of Brassica L. The finding of our current study is further strengthened by the early report of Rahman and Hirata (2004), they concluded that 21.2% of polymorphism was recorded in the varieties of B. campestris followed by 6.3% in B. napus and 3.2% in B. juncea after appraising various varieties of different Brassica species. Rabbani et al. (2001) also acquiesced to the presence of narrow genetics distance in Indian mustard (B. juncea) having different geographic origin. Turi et al. (2010) were also reported similar observations of minimum genetic diversity in 234 accessions of locally collected Brassica species for total seed storage protein content. However, Sadia et al. (2009) revealed the existence of extensive genetic diversity in Brassica germplasm collection with regard to their total seed protein profiles.
In our current study, 20.64% of polymorphism has been found from three species of Brassica by conducting polyacrylamide gel electrophoresis (Table 4). Besides, a variant level of polymorphisms have also been debriefed by many other researchers in diverse plant species employing gel electrophoresis technique such as – in Egyptian soybean 30.43% (Rayan & Osman, 2019), in European cultivars of common wheat 63.2% (Hlozáková et al., 2016), in broad bean 65.12% (El-Nahas et al., 2015), in Tunisian castor bean 82.00% (Vivodík et al., 2018) of polymorphism have been reported.
Having knowledge on genetic similarity (distance) between germplasm and among individuals or populations is advantageous to a breeding program as it allows germplasm organization and provides more efficacious sampling of germplasm to be crossed for the population development. Considering protein banding pattern for all the three Brassica species, genetic distance matrix was determined according to Nei (1972). Genetic variance among the three species of Brassica ranged in between 0.2877 and 0.4700 (Figure 4). In the present inquest, the lowest genetic distance was found between B. campestris var. Agrani and B. napus var. BS-13 (0.2877) (Figure 4). On the other hand, the highest genetic distance came into view from B. juncea var. BS-16 which was 0.4700 (Figure 4). In the study, a dendrogram prepared from UPGMA analysis and distance matrix coefficients displayed desirable relationships among the species studied (Figure 4).
Dendrogram developed by using UPGMA analysis was distributed among three speciesof Brassica (Figure 4). Based on protein banding pattern, two clusters were visualised in the dendrogram (Figure 4). Brassica juncea var. BS-16 (also called Indian mustard) formed a separate cluster, which was totally different from other two species of Brassica L. B. campestris var. Agrani and B. napus var. BS-13 clustered in another cluster. The cluster result indicated that B. campestris var. Agrani and B. napus var. BS-13 were closely related whereas B. juncea BS-16 distantly related with the remaining two species of Brassica L. The result of cluster analysis suggested that Brassica juncea var. BS-16 may have high genetic diversity among the three studied Brassica species. Regarding inter specific variation, it also supposed the presence of variation among the three species of Brassica L. So it seems to presage that polyacrylamide gel electrophoresis technique may utilize to be a feasible tool in supporting classical taxonomy studies.
Finally the in all view of clustering, pertaining to the protein banding pattern found congruent with our current study based on cytogenetical analysis which also implied that B. juncea var. BS-16 was genetically diverse from the other two studied species in this investigation. Thus, B. juncea var. BS-16 can be presumed as a vital resource of genetic diversity to be conserved and utilized in oncoming programmes of breeding to flourish the plant attributes and yield of Brassica varieties in Bangladesh. Furthermore, it is suggested that the inclusion of more variants may put in superfluous tools would throw more light on better understanding of biosystematics relationships within the genus Brassica.

Table 1: Karyological features of the studied Brassica L.species

Taxa	2n	DCL (µm)		ACL (µm)	TDCL (µm)	HCL (µm)		THCL (µm)	Arm ratio		RL (%)		KF
Taxa	2n	Min	Max	ACL (µm)	TDCL (µm)	Min	Max	THCL (µm)	Min	Max	Min	Max	KF

B. campestris var. Agrani	20	1.72	2.98	2.34	46.79 ± 0.62	1.76	2.94	23.43± 0.29	1.02	1.06	3.68	6.37	20m
B. juncea var. BS-16	36	1.89	4.84	3.41	122.89 ± 2.05	1.98	4.78	61.49 ± 1.04	1.01	2.86	1.54	3.94	30m + 6sm
B. napus var. BS-13	38	1.32	4.32	2.72	103.38 ± 1.06	1.39	4.20	51.73 ± 0.55	1.02	2.19	1.28	4.18	34m + 4sm

[Abbreviations: 2n= somatic chromosome number, DCL= Diploid Chromosomal Length, ACL= Average Chromosomal Length, TDCL=Total Diploid Chromosomal Length, HCL= Haploid Chromosomal Length, THCL= Total Haploid Chromosomal Length, RL= Relative Length, KF= Karyotype formula, m= metacentric chromosome, sm= sub-metacentric chromosome]

Table 2: Previous chromosome number reports on the three species of Brassica L.

Species	Chromosome number (2n)	Authors
B. campestris	20	Viinikka and Sovero, 1988; Olin-Faith and Heneen, 1992; Olin-Faith, 1994, 1996; Cheng et al., 1995; Fukui et al., 1998; Hasterok and Maluszynska, 2000; Snowdon, 2007
B. juncea	36	Mukherjee, 1975; Du et al., 1993; Kulak et al., 2002; Fang et al., 2014; Liu et al., 2019; Ma et al., 2019; Sun et al., 2019
B. napus	38	Olin-Faith and Heneen, 1992; Olin-Faith, 1994, 1996; Skarzhinskaya et al., 1998; Hasterok and Maluszynska, 2000; Kulak et al., 2002; Snowdon, 2007; Sun et al., 2018

Table 3: Values of asymmetry indices of the three studied speciesof Brassica L.

Taxa	CVCI	CVCL	MCA	AsK%	TF%	Syi%	Rec%	A1	A2	A	AI	Sc
B. campestris var. Agrani	0.64	16.87	1.72	50.87	49.13	96.60	78.51	0.03	0.17	0.02	0.11	1A
B. juncea var. BS-16	13.81	22.93	8.76	55.29	44.71	80.88	70.53	0.14	0.23	0.09	3.17	2B
B. napus var. BS-13	10.40	27.53	6.55	54.02	45.98	85.10	62.98	0.11	0.21	0.07	2.86	2B

[Abbreviations: CVCI= Coefficient of variation of centromeric index, CVCL= Coefficient of variation of chromosome length, MCA= Mean centromeric asymmetry, AsK%= Karyotype asymmetry index (%), TF%= Total form percent (%), Syi%= Index of karyotype symmetry (%), Rec%= Index of chromosomal size resemblance (%), A1= Intra chromosomal asymmetry index, A2= Inter chromosomal asymmetry index, A= Degree of asymmetry of karyotype, AI= Asymmetry index and Sc= Stebbins’s classification]

Table 4: Levels of polymorphism within Brassica L.species

Taxa	No. of total bands	No. of polymorphic bands	% of polymorphism exists in each Brassica species	Average % of polymorphism exists in Brassica species
B. campestris var. Agrani	7	1	14.29
B. juncea var. BS-16	6	2	33.33	20.64
B. napus var. BS-13	7	1	14.29

Acknowledgments

The authors are thankful to Bangladesh Agricultural Research Institute (BARI) and Bangladesh Institute of Nuclear Agriculture (BINA) for providing the seeds of three species of Brassica used in this study. The authors also expressed their gratitude to the members of Cytogenetics Laboratory of Department of Botany, University of Dhaka. The first author (FA) is indebted to the Ministry of Science and Technology, Government of the People's Republic of Bangladesh for granting NST fellowship during this study.

REFERENCES

Ahmed, S. M. (2012). Assessment of genetic diversity of nine hybrid combinations of canola using SDS-PAGE, RAPD and ISSR markers. Afr. J. Biotechnol., 11(93),15950–15958. https://doi.org/10.5897/AJB12.2236
Ahmed, Z. U., Hassan, M. A., Begum, Z. N. T., Khondker, M., Kabir, S. M. H., Ahmed, M., Ahmed, A. T. A., Rahman, A. K. A., & Haque, E. U. (Eds.). (2008). Encyclopedia of Flora and Fauna of Bangladesh: Angiosperm- Dicotyledons (Balsaminaceae – Euphorbiaceae) 7, Asiatic Society of Bangladesh.
Akbar, F., & Begum, K. N. (2020). A comparative anatomical investigation of three taxa of Brassica L. from Bangladesh. Bangladesh J. Plant Taxon., 27(1), 15–26. https://doi.org/ 10.3329/bjpt.v27i1.47566
Altınordu, F., Peruzzi, L., Yu, Y., & He, X. (2016) A Tool for the Analysis of Chromosomes: KaryoType. Taxon 65(3), 586–592.
Arano, H. (1963). Cytological studies in subfamily Carduoideae (Compositae) of Japan IX. The karyotype analysis and phylogenic considerations on Pertya and Ainsliaea. Bot. Mag. Tokyo, 76(895), 32–39. https://doi.org/ 10.15281/jplantres1887.76.32
Begum, K. N., & Alam, Sk. S. (2019). Genetic diversity in nine chickpea (Cicer arietinum L.) varieties based on different molecular markers. Bangladesh J. Bot., 48(1), 195–203. https://oi.org/10.3329/bjb.v48i1.47491
Cheng, B. F., Heneen, W. K., & Chen, B. Y. (1995). Mitotic karyotypes of Brassica campestris and Brassica alboglabra and identification of the B. alboglabra in addition line. Genome, 38(2), 313–319. https://doi.org/10.1139/g95-039
Choudhary, R., Rai, G. K., Rai, S. K., Parveen, A., Rai, A. K., & Salgotra, S. K. (2015). Genetic diversity of Brassica napus using sodium dodecyl sulphate polyacrylamide gel electrophoresis (SDS-PAGE). SABRAO J. Breed. Genet. 47(1), 14–20. Retrieved from http://www.sabrao. org/journals/March2015/SABRAO-J-Breed-Genet-47(1)14-20-Choudhary.pdf
Du, W., Chen, Q. X., & Mo, H. (1993). Study on somatic chromosome karyotypes of Xinjiang wild rape, B. campestris, B. nigra and B. juncea. J. August 1st Agric. Coll., 16(4), 26–31.
El-Nahas, A. I., Afiah, S. A., & Omran, A. A. A. (2015). Molecular discrimination among diverse Vicia faba L. Genotypes under thermal stress condition prevailing at the new valley. Egyptian J. Plant Breed., 19(3), 209–237.
Eroğlu, H. E., Şimşek, N., Koç, M., & Hamzaoğlu, E. (2013). Karyotype analysis of some Minuartia L. (Caryophyllaceae) taxa. Plant Syst. Evol., 299(1), 67–73. https://doi.org/ 10.1007/s00606-012-0703-8
Fang, P., Chen, F. B., & Yao, Q. L. (2014). Karyotype analysis on three types of leaf mustard (Brassica juncea). J. Changjiang Veg., 12, 13–17.
Fukui, K., Nagayama, S., Ohmido, N., Yoshiaki, H., & Yamabi, M. (1998). Quantitative karyotyping of three diploid Brassica species by imaging methods and localization of 45S rDNA loci on the identified chromosomes. Theor. Appl. Genet., 96, 325–330. https://doi.org/10.1007/s001220050744
Greilhuber, J., & Speta, F. (1976). C-banded karyotypes in the Scilla hohenackeri Group, S. persica and Puschkinia (Liliaceae). Plant Syst. Evol., 126(2), 149–188. https://doi.org/10.1007/BF00 981669
Guerra, M. (2008). Chromosome number in plant cytotaxonomy: Concepts and implications. Cytogenet. Genome Res., 120(3-4), 339–350. https://doi.org/10. 1159/ 000121083
Hasterok, R., & Maluszynska, J. (2000). Cytogenetics analysis of diploid Brassica species. Ecta Biol. Crac. Ser. Bot. 42(1), 145–153.
Hlozáková, T. K., Gregová, E., Vivodík, M., & Gálová, Z. (2016). Genetic diversity of European cultivars of common wheat (Triticum aestivum L.) based on RAPD and protein markers. J. Cent. Eur. Agric., 17(4), 957–969. https://doi.org/10.5513/JCEA01/17.4.1798
Huziwara, Y. (1962). Karyotype analysis in some genera of compositae. VIII. Further studies on the chromosomes of Aster. Am. J. Bot., 49(2), 116–119. https://doi.org/10.1002/j.1537-2197.1962.tb14916.x
Kamel, E. A. R., Sharawy, S. M., & Karakish, E. A. K. (2014). Cytotaxonomical investigations of the tribes Asclepiadeae and Ceropegieae of the subfamily Asclepiadoideae-Apocynaceae. Pak. J. Bot., 46(4), 1351–1361.
Kasem, W. T., Ghareeb, A., & Marwa, E. (2011). Seed morphology and seed coat sculpturing of 32 taxa of family Brassicaceae. J. Am. Sci., 7(2), 166–178.
Kulak, S., Hasterok, R., & Maluszynska, J. (2002). Karyotyping of Brassica amphidiploids using 5S and 25S rDNA as chromosome markers. Hereditas, 136(2), 144–150. https://doi.org/10. 1034/j.1601-5223.2002.1360209.x
Lavania, U. C., & Srivastava, S. (1992). A simple parameter of dispersion index that serves as an adjunct to karyotype asymmetry. J. Biosci., 17(2), 179–182. https://doi.org/10. 1007/BF02703503
Levan, A., Fredga, K., & Sangberg, A. A. (1964). Nomenclature for centromeric position on chromosomes. Hereditas, 52(2), 201–220. https://doi.org/10. 1111/j.1601-5223.1964.tb01953.x
Liu, Z., Lia, Z., Jin, Z., He, Y., Wu, R., Zhang, F. & Sun, B. (2019). Chromosomal Karyotype Analysis of ‘Four Seasons Shuidong Sweet Crisp’ Mustard. In J. Xiao, X. Ke & L. Yang (Eds.), Proceedings of the International Conference on Frontiers of Biological Sciences and Engineering 2018 (pp. 020052-1–020052-4). AIP Publishing. https://doi.org/10.1063/1.5085565
Lowry, O. H., Rosebrough, N. J., Farr, A. L., & Randall, R. J. (1951). Protein measurement with the Folin phenol reagent. J. Biol. Chem., 193(1), 265–275.
Ma, J., He, Y., Zhou, P., Wu, R., Chen, C. & Min, J. (2019). Karyotype Analysis of Nainaiqingcai Mustard. In J. Xiao, X. Ke & L. Yang (Eds.), Proceedings of the International Conference on Frontiers of Biological Sciences and Engineering 2018 (pp. 020053-1–020053-4). AIP Publishing. https://doi.org/10.1063/1.5085566
Majumder, D. A. N., Hassan, L., Rahim, M. A., & Kabir, M. A. (2012). Analysis of genetic diversity in mango (Mangifera indica L.) using isozymetic polymorphism. Afr. J. Biotechnol., 11(87), 15310–15323. https://doi.org/ 10.5897/AJB12.2217
Mukherjee, P. (1975). karyomorphological studies of ten strains of Indian mustard (Brassica juncea Coss.). Euphytica, 24, 483–486.
Nei, M. (1972). Genetic distance between populations. Am. Nat., 106(949), 283–292. https://dio.org/10.1086/282771
Olin-Fatih, M. (1994). A new method for differential staining of Brassica metaphase chromosomes and karyotypes of B. campestris, B. oleracea and B. napus. Hereditas, 120(3), 253–259. https://doi.org/ 10.1111/j.1601-5223.1994.00253.x
Olin-Fatih, M. (1996). Morphology, cytology and C-banded karyotypes of Brassica campestris, B. oleracea and B. napus plantsregenerated from protoplast. Theor. Appl. Genet., 93, 414–420. https://doi.org/10.1007/BF00223184
Olin-Fatih, M., & Heneen, W. K. (1992). C-banded karyotypes of Brassica campestris, B. oleracea and B. napus. Genome, 35(4), 583–589. https://doi.org/10.1139/g92-087
Paszko, B. (2006). A critical review and a new proposal of karyotype asymmetry indices. Plant Syst. Evol., 258(1), 39–48. https://doi.org/10.1007/s00606-005-3089-2
Paul, M., Islam, T., Hoque, M. I., & Sarker, R. H. (2020). Analysis of genetic diversity in oilseed Brassica germplasm through ISSR markers and isozyme profiling. Bangladesh J. Bot., 49(1), 147–158.
Peruzzi, L., & Eroğlu, H. E. (2013). Karyotype asymmetry: Again, how to measure and what to measure? Comp. Cytogenet., 7(1), 1–9. https://doi.org/ 10.3897/CompCytogen.v7i1.4431
Peruzzi, L., Leitch, I. J., & Caparelli, K. F. (2009). Chromosome diversity and evolution in Liliacea. Ann. Bot., 103(3), 459–475. https://doi.org/ 10.1093/aob/mcn230
Rabbani, M. A., Qureshi, A. A., Afzal, M., Anwar, R., & Komatsu, S. (2001). Characterization of mustard (Brassica juncea L.) germplasm by SDS-PAGE of total seed proteins. Pak. J. Bot., 33, 173–179.
Rahman, M. M., & Hirata, Y. (2004). Genetic diversity in Brassica species using SDS-PAGE analysis. J. Biol. Sci., 4(2), 234–238. https://doi.org/10.3923/jbs. 2004.234.238
Rakow, G. (2004). Species origin and economic importance of Brassica. In E. C. Pua, & C. J. Douglas (Eds.), Biotechnology in Agriculture and Foresty: Brassica (Vol. 54, pp. 3–11). Springer. https://link.springer.com/ chapter/10.1007/978-3-662-06164-0_1
Rayan, W. A., & Osman, S. A. (2019). Phylogenetic relationships of some Egyptian soybean cultivars (Glycine max L.) using SCoT marker and protein pattern. Bull. Natl. Res. Cent., 43(161). https://doi.org/10.1186/s422 69-019-0197-4
Sadia, M., Malik, S. A., Rabbani, M. A., & Pearce, S. R. (2009). Electrophoretic characterization and the relationship between some Brassica Species. Electron. J. Biol., 5(1), 1–4.
Skarzhinskaya, M., Fahleson, J., Glimelius, K., & Mouras, A. (1998). Genome organization of Brassica napus and Lesquerella fendleri and analysis of their somatic hybrids using genomic in situ hybridization. Genome, 41(5), 691-701. https://doi.org/10.1139/g98-056
Snowdon, R. J. (2007). Cytogenetics and genome analysis in Brassica crops. Chromosome Res., 15(1), 85–95. https://doi.org/10.1007/s10577-006-1105-y
Stebbins, G. L. (1971). Chromosomal evolution in higher plants. Edward Arnold.
Sun, B., Xia, X., Tian, Y., Zhang, F., & Tang, H. (2018). Karyotype Analysis of Brassica napus cv. Huayou no.2. Adv. Biol. Sci. Res., 5, 78–81.
Sun, B., Xia, X., Tian, Y., Zhang, F., & Tang, H. (2019). Karyotype Analysis of Brassica Juncea cv. Hong Kong Hakka Mustard. In J. Xiao, X. Ke & L. Yang (Eds.), Proceedings of the International Conference on Frontiers of Biological Sciences and Engineering 2018 (pp. 020025-1–020025-4). AIP Publishing. http://doi.org/10.1063/1.5085538
Toosi, A. F., Arumugam, B., Baki, B. B., & Tayyab, S. (2011). Protein profiling of Brassica juncea (L.) Czern. var. Ensabi at different developmental stages. J. Biol. Sci. 11(2), 165-172. https://doi.org/10.3923/jbs.2011.165.172
Turi, N. A., Farhatullah, Rabbani, M. A., Khan, N. U., Akmal, M., Pervaiz, Z. H. & Aslam, M. U. (2010). Study of total seed storage protein in indigenous Brassica species based on sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE). Afr. J. Biotechnol., 9(45), 7595–7602. https://doi.org/10.5897/AJB10.1136
Viinikka, Y., & Sovero, M. (1988). Karyotypes and meiotic behavior of chromosomes in two male sterile strains of Brassica campestris L. Hereditas, 109, 93–97.
Vivodík, M., Saadaoui, E., Balážová, Ž., Gálová, Z., & Petrovičová, L. (2018). Characterization of Tunisian castor bean genotypes using SDS-PAGE of total seed storage proteins. Potr. S. J. F. Sci., 12(1), 701–706. https://doi.org/10.5219/973
Watanabe, K., Yahara, T., Denda, T., & Kosuge, K. (1999). Chromosomal evolution in the genus Brachyscome (Asteraceae, Astereae): Statistical tests regarding correlation between changes in karyotype and habit using phylogenetic information. J. Plant Res., 112(2), 145–161. https://doi.org/10.1007/PL00013869
Xiong, Z. Y., Gaeta, R.T., & Pires, J. C (2011). Homoeologous shuffling and chromosome compensation maintain genome balance in resynthesized allopolyploid Brassica napus. Proceeding of the National Academy of Sciences of the United States of America, 108(19), 7908–7913. https://doi.org/10.1073/pnas.1014138108
Yeh, F. C., Yang, R. C., Boyle, T. B. J., Ye, Z. H., & Mao, J. X. (1999). POPGENE, the user-friendly software for population genetic analysis. Mol. Biol. Biotechnol. Cent., University of Alberta, Canada.
Zarco, C. R. (1986). A new method for estimating karyotype asymmetry. Taxon, 35(3), 526–530. https://doi. org/10.2307/1221906.

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