Plant Biotechnology
Electronic Journal of Biotechnology ISSN: 0717-3458 Vol. 16 No. 6, Issue of November 15, 2013
© 2013 by Pontificia Universidad Católica de Valparaíso -- Chile Received May 17, 2013 / Accepted October 11, 2013
DOI: 10.2225/vol16-issue6-fulltext-9  
RESEARCH ARTICLE

Analysis of genetic and epigenetic variation in in vitro propagated potato somatic hybrid by AFLP and MSAP marker

Jagesh Kumar Tiwari*1 · Shaumaya Saurabh1 · Poonam Chandel1 · Bir Pal Singh1 · Vinay Bhardwaj1

1Central Potato Research Institute, Shimla, Himachal Pradesh, India

*Corresponding author: jageshtiwari@gmail.com

Financial support: Potato Biotechnology Programme (P1-2010/3-IPR-F30/0210) at Central Potato Research Institute (Indian Council of Agricultural Research), Shimla, Himachal Pradesh, India.

Keywords: AFLP; DNA methylation; in vitro propagation; MSAP; potato; somatic hybrids.

Abstract

Background: Genetic and epigenetic changes (DNA methylation) were examined in the tissue-culture propagated interspecific potato somatic hybrids between dihaploid Solanum tuberosum and S. pinnatisectum. Amplified fragment length polymorphism (AFLP) and methylation-sensitive amplified polymorphism (MSAP) were applied to detect the genetic and epigenetic changes, respectively in the somatic hybrids mother plants (1st cycle) and their regenerants (30th cycles sub-cultured).

Results: To detect genetic changes, eight AFLP primer combinations yielded a total of 329 scorable bands of which 49 bands were polymorphic in both mother plants and regenerants. None of the scorable bands were observed in term of loss of original band of mother plant or gain of novel band in their regenerants. AFLP profiles and their cluster analysis based on the Jaccard’s similarity coefficient revealed 100% genetic similarity among the mother plant and their regenerants. On the other hand, to analyze epigenetic changes, eight MSAP primer pair combinations detected a few DNA methylation patterns in the mother plants (0 to 3.4%) and their regenerants (3.2 to 8.5%). Out of total 2320 MSAP sites in the mother plants, 2287 (98.6%) unmethylated, 21 (0.9%) fully methylated and 12 (0.5%) hemi-methylated, and out of total 2494 MSAP sites in their regenerants, 2357 (94.5%) unmethylated, 79 (3.1%) fully methylated and 58 (2.3%) hemi-methylated sites were amplified.

Conclusion: The study concluded that no genetic variations were observed among the somatic hybrids mother plants and their regenerants by eight AFLP markers. However, minimum epigenetic variations among the samples were detected ranged from 0 to 3.4% (mother plants) and 3.2 to 8.5% (regenerants) during the tissue culture process.

Introduction

Plant tissue culture is recognized as one of the valuable components of biotechnology methods because of its potential to rapid multiplication of true-to-type genotypes. In potato, in vitro clonal propagation is used to produce micro or mini tubers for healthy seed stocks identical to mother plant. However, in vitro cultures pose a problem of genetic stability caused by genetic and epigenetic changes (somaclonal variations) in regenerants. So in the clonal regeneration, one of the most crucial concerns of curators is to retain genetic stability of in vitro propagating material (Zilberman and Henikoff, 2007). It was proposed that apart from genetic changes, epigenetic modifications may play an important role in plant growth and development. Moreover, term epigenetic refers to a mechanism that controls gene expression without altering DNA sequence and leads to genetic modifications by DNA methylation, histone and chromatin changes. Studies show that changes in DNA methylation are quite stable and are frequently transmitted during meiosis and mitosis (Smulders and De Klerk, 2011).

Until now, the best known epigenetic process is DNA methylation, partly because it has been the easiest to study with existing technology and plays a key role in regulating gene expression. In general, any method capable of displaying polymorphism of digested DNA fragments can be used to detect DNA methylation. Detection of DNA methylation may depends on the application of restriction enzymes such as isoschizomers. Isoschizomers share the same recognition sites but show differential sensitivity to DNA methylation. Polymorphic DNA fragments can be generated after digestion of methylated genomic DNA with isoschizomers (Chen, 2007). Among various molecular markers, amplified fragment length polymorphisms (AFLP) and methylation-sensitive amplified polymorphisms (MSAP) are still a reliable and relatively cheap alternative. The MSAP method, a modification of the AFLP technique, can detect DNA methylation patterns by restriction digestion of DNA with the isoschizomers such as HpaII and MspI. The isoschizomers recognize the same tetranucleotide sequence (5ʹ-3ʹ) CCGG but have different sensitivities to the cytosines methylation. The enzyme HpaII cuts when external cytosines is hemi-methylated (single DNA strand methylated), whereas the enzyme MspI cleaves when internal cytosines is fully-methylated (both DNA strands methylated). On the other hand, for a given DNA sample, two major methylation sites namely i) full methylation of internal cytosine and ii) hemi-methylation of external cytosine can only be distinguished using isochimeres HpaII and MspI. They cannot distinguish between unmethylated and fully methylated cytosines or hemi-methylated internal cytosines. Thus, the methylation percentages obtained by MSAP should be lower than the total absolute values existing at CCGG sites (McClelland et al. 1994). In spite of this limitation, the MSAP method has been successfully applied in a wide range of studies where alterations in cytosine methylation were detected in various crop species (Bednarek et al. 2007). The AFLP and the MSAP markers have been used to detect significant genetic and epigenetic changes, respectively in a number of crop species for example potato (Joyce and Cassells, 2002; Dann and Wilson, 2011), Solanum aculeatissimum (Ghimire et al. 2012), Triticum aestivum (Meng et al. 2012), Gardenia jasminoides (Wu et al. 2012), Ungernia victoris (Bublyk et al. 2012), Capparis spinosa (Carra et al. 2012), Phaseolus ssp. (Abid et al. 2011), Nicotiana tabacum (Yang et al. 2011), Freesia hybrida (Gao et al. 2010), Ocotea catharinensis (Hanai et al. 2010), Cymbidium (Chen et al. 2009), Vitis spp. (Baránek et al. 2010), Brassica oleracea (Salmon et al. 2008), Hordeum brevisubulatum (Li et al. 2007) and Humulus lupulus (Peredo et al. 2006). The aim of this study was to detect genetic and epigenetic variations in in vitro propagated somatic hybrids mother plants and their regenerants using AFLP and MSAP molecular markers.

Materials and Methods

Plant material and culture conditions

In the present study, in vitro propagated interspecific potato somatic hybrids between dihaploid Solanum tuberosum and S. pinnatisectum namely P1, P2, P3, P4, P5, P6, P7, P8, P9, P10, P12 and P13 were used (Sarkar et al. 2011). Somatic hybrids mother plant (1st cycle: original mother plant regenerated from one callus in the previous study of Sarkar et al. 2011) and 30th cycles sub-cultured somatic hybrids regenerants (here after called regenerants) were used to detect the genetic and epigenetic changes. Tissue culture plants were maintained in the Cell and Molecular Biology Laboratory, Division of Crop Improvement, Central Potato Research Institute, Shimla, India. In vitro plantlets were multiplied by sub-culturing leafy node(s) (1-2) on MS (Murashige and Skoog, 1962) medium (pH 5.8) supplemented with sucrose (20 g l-1) and solidified with gelrite (2 g l-1). Cultures were grown at 20ºC under a 16-hrs photoperiod (light intensity 50-60 µmol m-2 s-1). Triplicate in vitro plantlets of the each mother plant and regenerant were used for DNA analyses.

DNA isolation

Plant DNA was isolated from 100 mg leaves collected from fresh in vitro plants using the GenElute Plant Genomic DNA MiniPrep Kit (Sigma-Aldrich, St. Louis, USA). In vitro plantlets (in triplicates) were pooled together for the DNA isolation separately of the mother plants and the regenerants. DNA quality and quantity were determined with NanoDrop 2000 Spectrophotometer (Thermo Fisher Scientific, Wilmington, USA), and quality was also assessed on 0.8% (w/v) agarose gel. The isolated DNA was used for various molecular analyses in the present study.

Amplified fragment length polymorphism (AFLP) analysis

To detect genetic changes, AFLP analysis was demonstrated in the somatic hybrids mother plant and their regenerants. Independently isolated DNA of the each genotype was used for analysis. Adapters, primers sequences and methods of AFLP procedures were followed as described by Dann and Wilson (2011) according to the basic protocol of the enzyme combination EcoRI + MseI (Vos et al. 1995). List of AFLP adapters and primers (pre-selective and selective primer pairs combinations) sequences are listed in Table 1. Genomic DNA (1000 ng) was restricted by 10 U of each enzyme EcoRI and MseI (New England Biolabs, Ipswitch, USA) in total of 50 µL reaction mix by incubation at 37ºC for overnight. Restricted DNA fragments were ligated with adapters with 10 U of T4 DNA ligase enzyme at 16ºC for overnight containing 1 x T4 ligase buffer (NEB), 1 µM EcoR-adpaters, 5 µM Mse-adapters and made up to 60 µL with sterile distilled water. Reactions were diluted to 1:5 with sterile distilled water and stored at -20ºC. Adapter mixes were prepared by adding equimolar amounts of both adapters and heating to 95ºC for 5 min and slowly cooled to room temperature. Pre-selective PCRs were prepared using AmpliTaq Gold® PCR Master Mix (Applied Biosystems, California, USA) that includes AmpliTaq Gold DNA Polymerase (0.05 U/μL) for automated Hot Start PCR (polymerase chain reaction), 1 x Gold PCR Buffer (30 mM Tris/HCl, pH 8.05, 100 mM KCl), 400 μM each dNTP, 5 mM MgCl2, 0.5 µM EcoR-T primer, 0.5 µM Mse-C primer and made up to 20 µL with sterile distilled water. The polymerase chain reaction (PCR) was performed in a Mastercycler Gradient (Eppendorf, Hamburg, Germany) following the reaction conditions: 95ºC for 15 min followed by 30 cycles of 94ºC for 30 sec, 56ºC for 30 sec, 72ºC for 2 min and extension at 72ºC for 7 min. All PCRs were visualised in 1.5% agarose gel electrophoresis with ethidium bromide stain in 1 x TBE buffer. The reaction mixture was diluted 1:20 with sterile distilled water for selective amplification and stored at -20ºC. Selective PCRs were prepared using same AmpliTaq Gold® PCR Master Mix (ABI) including selective primer pairs combinations of 0.5 µmol EcoRI and 0.5 µmol MseI. Selective amplification was performed by the touchdown PCR conditions in a Mastercycler Gradient (Eppendorf) as follows: 95ºC for 15 min, 13 cycles at 94ºC for 30 sec, 65 to 56ºC for 30 sec (with subsequent reduction by 0.7ºC per cycle) and 72ºC for 2 min; and another 23 cycles of PCR amplification were used following the touchdown program. The denaturing step was done at 94ºC for 30 sec, annealing at 56ºC for 30 sec, extension at 72ºC for 2 min; and a final extension at 72ºC for 10 min. Final selective amplification products were denatured at 95ºC for 5 min and then AFLP fragments were analyzed on ‘3500 Genetic Analyzer’ (ABI).

Methylation-sensitive amplified polymorphism (MSAP) analysis

To detect epigenetic changes among the mother plants and their regenerants, MSAP analysis was carried out as above like AFLP methods following adapters and primer sequences described by Chen et al. (2009). List of MSAP adapters and primers (pre-selective and selective primer pairs combinations) sequences are listed in Table 1. Two sets of restriction digestion reactions were carried out independently each at a concentration of 10 U µl-1 by mixing EcoRI with two isoschizomers, HpaII and MspI (EcoRI + HpaII; and EcoRI + MspI) separately for mother plants and their regenerants. In the first reaction, ~1000 ng DNA of the samples was digested at 37ºC overnight with EcoRI + HpaII in 50 µl reaction volume. In the second reaction, 1000 ng DNA of the same samples was digested with EcoRI + MspI under the same reaction conditions. Subsequently adopters ligation, pre-selective amplification and selective amplification were followed as described in AFLP analysis.

Scoring and data analysis

A data matrix was constructed on the basis of presence (1) or absence (0) of bands of the amplified DNA fragments. Missing data were scored as ‘9’. All reactions were repeated at least twice, and only distinct, reproducible, polymorphic and well-resolved bands across all runs were considered for analysis. In the fragment analyses, peak intensity (≥ 100) and band size (≥ 100 bp) were considered for analyses which were scorable. DNA fragments of low visual intensity, which could not be readily distinguished as present or absent, were considered to be ambiguous markers and were not scored. Genetic diversity analysis was performed with the program NTSYS-PC 2.21 (Rohlf, 2006). A similarity matrix was calculated by Jaccard’s coefficient and the dendrogram was generated using unweighted pair-group method (UPGMA) clustering method. Fragment analysis of AFLP and MSAP data was performed using GeneMapper® Software Version 4.1 (ABI). A 500-bp ‘GS 500 ROX’ standard was used to estimate the molecular size of the fragments.

Results

AFLP analysis

To detect genetic changes, eight AFLP selective primer pair combinations generated a total of 329 scorable bands including 23 to 61 bands per primer, ranging from 101 to 492 bp in size, of which 49 (14.8%) bands were polymorphic (Table 2). The number of bands were varied from 23 (E38 + M1) to 61 (E11 + M1), with an average of 41.12 bands per primer and 6.1 polymorphic bands. In the study, AFLP profiles resulted into complete genetic similarity and no variations were observed among the mother plants and their corresponding regenerants. Moreover, none of the loss of original bands of the mother plants or gain of novel bands in the regenerants were observed during AFLP analysis. The highest bands count was observed in primer combinations E11 + M1 (61) followed by E36 + M1 (56), and the lowest in E38 + M1 (23) followed by E32 + M1 (26). Cluster analysis based on the Jaccard’s similarity coefficient revealed 100% genetic similarity among the mother plants and their regenerants. To illustrate, AFLP profile using the primer pair combination E11 + M1 shows complete similarity among the mother plant (P7) and its regenerants (Figure 1).

MSAP analysis

Eight MSAP selective primer pairs combinations yielded in total 144 to 235 and 153 to 253 clear and reproducible bands in the mother plants and regenerants, respectively (Table 3). The numbers of total, non-methylated, hemi-methylated and fully-methylated CCGG sites were calculated based on the MSAP profiles. In the mother plants, out of total 2320 MSAP sites, 2287 (98.6%) unmethylated, 21 (0.9%) fully methylated and 12 (0.5%) hemi-methylated sites were amplified. Total methylation level in the mother plants was 1.4% (varied between 0.0 to 3.4%), which was comprised of 0.9% full-methylation at the internal cytosines (varied between 0.0 to 2%) and 0.5% hemi-methylation at the external cytosines (varied between 0.0 to 1.9%). In particular to the mother plants, the highest total methylation sites (hemi- + fully-methylated) were 5 (P1 and P12), followed by 4 (P2 and P6) and the lowest 0 (P4, P7 and P8).

Whereas, in the regenerants, a total of 2494 MSAP sites, 2357 (94.5%) unmethylated, 79 (3.1%) fully methylated and 58 (2.3%) hemi-methylated sites were amplified. Compared to the mother plant, regenerants showed both kinds of detectable cytosine methylation levels, i.e., full methylation of the internal cytosines and hemi-methylation of the external cytosines, at the CCGG sites. Among the regenerants, total methylation level was 5.4% (varied between 3.2 to 8.5%), which was comprised of both full methylation of the internal cytosines (3.1%) (ranged between 0.9 to 5.2%) and hemi-methylation of the external cytosines (2.3%) (ranged between 0.9 to 3.3%) showed higher values compared to the mother plants. Among the regenerants, the highest total methylation sites were 13 (P1 and P7), followed by 12 (P2, P3, P5, P6, P8 and P13) and the lowest 7 (P9). Cluster analysis based on Jaccard’s similarity coefficient of MSAP profiles of primers combination of both enzymes (EcoRI + HpaII/EcoRI + MspI) showing genetic distinctness among mother plants and their regenerants is shown in Figure 2.

Discussion

Genetic and epigenetic changes has been reported in the literature and observed frequently in plant tissue culture, nevertheless, the underlying mechanism remains largely unknown. Recently, there has been an increased interest in understanding the role of DNA methylation in controlling gene expression in plant. The MSAP technique has been used in various studies on cytosine methylation in plants genome, and has proven to be a highly efficient and powerful tool for investigating methylation patterns in many crop species as mentioned in the introduction.

In the present study, genetic changes were investigated by eight AFLP markers that revealed complete genetic similarity among the mother plants and their regenerants. The somatic hybrid mother plant and regenerants had been independently sub-cultured by nodal cuttings in tissue culture for the last three years. Though, only 8 AFLP primers combinations were used in the study, similar number of primer combinations (7 nos.) was also used earlier to test the genetic stability in potato (Zarghami et al. 2008). There are a number of findings in the literature which reports on detection of genetic stability of mother plants and their regenerants using molecular markers, for example Solanum species (Aversano et al. 2009) and Lilium orientalis (Liu and Yang, 2012) by inter simple sequence repeat (ISSR) markers. Zarghami et al. (2008) investigated genetic stability in potato cultivars using seven AFLP primer combinations and resulted 97 and 100% genetic similarity in the cv. Agria and Marphona plantlets stored under cryopreservation and non-cryopreservation conditions. However, Dann and Wilson (2011) detected genetic differences ranged from 8.75 to 15.63% in long-term nodal tissue culture potato clones compared to our study where no genetic differences in the somatic hybrids mother plants and their regenerants. These small changes may be due to the variation on tissue culture procedures, plant types and molecular analyses system except minor peaks/fragments which were not scorable in AFLP and MSAP markers. Variations (genetic and epigenetic) in potato microplant morphology in vitro and DNA methylation were also studied by Joyce and Cassells (2002).

To uncover epigenetic changes, MSAP markers were demonstrated among mother plants and regenerants. A detection method of methylated DNA was followed by an addition of methylation-sensitive restriction digestion of genomic DNA prior to PCR. MSAP has been proved to be a robust method for detecting genome-wide cytosine methylation alterations in both level and pattern in plant and animal genomes (Zilberman and Henikoff, 2007). In the present study, total alteration in cytosine methylation level in the regenerants was higher (3.2 to 8.5%) than their corresponding mother plants (0.0 to 3.4%). However, Dann and Wilson (2011) observed higher epigenetic (12.56-26.13%) variations among regenerants of potato derived from long-term nodal tissue culture. Several findings on DNA methylation levels associated with tissue culture have been reported by MSAP analysis in crop plants. In higher plant, total cytosine methylation level varied in different plant species such as from 11.1 to 26.7% in Cymbidium hybridium (Chen et al. 2009), 23.5 to 27% in barley (Li et al. 2007), 8.1 to 9.2% in Freesia hybrida (Gao et al. 2010).

Our study indicated long-term nodal tissue culture induced epigenetic variations in the potato somatic hybrids regenerants. It is well known that changes in DNA methylation level is accompanied by growth and developmental stages of plant (Joyce and Cassells, 2002). These changes are also accompanied by changes in gene transcription controlling methylation process. DNA methylation is generally recognized to suppress gene expression as regulatory factors, homozygosity/heterozygosity of methylated DNA may be involved in inbreeding depression/heterosis (Nakamura and Hosaka, 2010). A considerable change in the methylation pattern is critical during embryogenesis process and gene expression such as in Phaseolus interspecific hybrids and could be involved in the disruption of the regulation or maintenance of the embryogenesis (Abid et al. 2011). This provides further insight into the molecular mechanisms involved epigenetic variations in the somatic hybrids regeneration by more molecular markers. Further experiments are needed to elucidate the causal relationships between alterations in DNA methylation and genetic changes at sequence levels at different developmental stages in the somatic hybrids mother plants and regenerants. Extensive sequencing of the methylation-sensitive fragments and their gene expression analyses may be a valuable strategy to examine genomic regions most affected by genetic and epigenetic changes. Nevertheless, chromatin-immuno precipitation techniques by microarray technology and next generation sequencing technology may also reveal underlying mechanism of genetic and epigenetic control.

Acknowledgements

The authors are grateful to the Director, Central Potato Research Institute (Indian Council of Agricultural Research), Shimla, Himachal Pradesh, India for providing necessary facilities and financial supports. The authors are thankful to Mr. Sheeshram Thakur for maintenance of tissue culture plants and Mr. CM Bist for assisting in fragment analyses on the ‘Genetic Analyzer’.

References

ABID, G.; MUHOVISKI, Y.; JACQUEMIN, J.M.; MINGEOT, D.; SASSI, K.; TOUSSAINT, A. and BAUDOIN, J.P. (2011). Changes in DNA-methylation during zygotic embryogenesis in interspecific hybrids of beans (Phaseolus ssp.). Plant Cell, Tissue and Organ Culture, vol. 105, no. 3, p. 383-393. [CrossRef]

AVERSANO, R.; SAVARESE, S.; DE NOVA, J.M.; FRUSCIANTE, L.; PUNZO, M. and CARPUTO, D. (2009). Genetic stability at nuclear and plastid DNA level in regenerated plants of Solanum species and hybrids. Euphytica, vol. 165, no. 2, p. 353-361. [CrossRef]

BARÁNEK, M.; KŘIZAN, B.; ONDRUSÍKOVÁ, E. and PIDRA, M. (2010). DNA-methylation changes in grapevine somaclones following in vitro culture and thermotherapy. Plant Cell, Tissue and Organ Culture, vol. 101, no. 1, p. 11-22. [CrossRef]

BEDNAREK, P.T.; ORŁOWSKA, R.; KOEBNER, R.M.D. and ZIMNY, J. (2007). Quantification of the tissue-culture induced variation in barley (Hordeum vulgare L.). BMC Plant Biology, vol. 7, no. 10. [CrossRef]

BUBLYK, O.M.; ANDREEV, I.O.; SPIRIDONOVA, K.V. and KUNAKH, V.A. (2012). Genetic variability in regenerated plants of Ungernia victoris. Biologia Plantarum, vol. 56, no. 2, p. 395-400. [CrossRef]

CARRA, A.; SAJEVA, M.; ABBATE, L.; SIRAGUSA, M.; SOTTILE, F. and CARIMI, F. (2012). In vitro plant regeneration of caper (Capparis spinosa L.) from floral explants and genetic stability of regenerants. Plant Cell, Tissue and Organ Culture, vol. 109, no. 2, p. 373-381. [CrossRef]

CHEN, Z.J. (2007). Genetic and epigenetic mechanisms for gene expression and phenotypic variation in plant polyploids. Annual Review of Plant Biology, vol. 58, no. 1, p. 377-406. [CrossRef]

CHEN, X.; MA, Y.; CHEN, F.; SONG, W. and ZHANG, L. (2009). Analysis of DNA methylation patterns of PLBs derived from Cymbidium hybridium based on MSAP. Plant Cell, Tissue and Organ Culture, vol. 98, no. 1, p. 67-77. [CrossRef]

DANN, A.L. and WILSON, C.R. (2011). Comparative assessment of genetic and epigenetic variation among regenerants of potato (Solanum tuberosum) derived from long-term nodal tissue-culture and cell selection. Plant Cell Reports, vol. 30, no. 4, p. 631-639. [CrossRef]

GAO, X.; YANG, D.; CAO, D.; AO, M.; SUI, X.; WANG, Q.; KIMATU, J.N. and WANG, L. (2010). In vitro micropropagation of Freesia hybrida and the assessment of genetic and epigenetic stability in regenerated plantlets. Journal of Plant Growth Regulation, vol. 29, no. 3, p. 257-267. [CrossRef]

GHIMIRE, B.K.; YU, C.Y. and CHUNG, I.M. (2012). Direct shoot organogenesis and assessment of genetic stability in regenerants of Solanum aculeatissimum Jacq. Plant Cell, Tissue and Organ Culture, vol. 108, no. 3, p. 455-464. [CrossRef]

HANAI, L.R.; FLOH, E.I.S.; FUNGARO, M.H.P.; SANTA-CATARINA, C.; DE PAULA, F.M.; VIANA, A.M. and VIEIRA, M.L.C. (2010). Methylation patterns revealed by MSAP profiling in genetically stable somatic embryogenic cultures of Ocotea catharinensis (Lauraceae). In Vitro Cellular & Development Biology-Plant, vol. 46, no. 4, p. 368-377. [CrossRef]

JOYCE, S.M. and CASSELLS, A.C. (2002). Variation in potato microplant morphology in vitro and DNA methylation. Plant Cell, Tissue and Organ Culture, vol. 70, no. 2, p. 125-137. [CrossRef]

LI, X.; YU, X.; WANG, N.; FENG, Q.; DONG, Z.; LIU, L.; SHEN, J. and LIU, B. (2007). Genetic and epigenetic instabilities induced by tissue culture in wild barley (Hordeum brevisubulatum (Trin.) Link). Plant Cell, Tissue and Organ Culture, vol. 90, no. 2, p. 153-168. [CrossRef]

LIU, X. and YANG, G. (2012). Adventitious shoot regeneration of oriental lily (Lilium orientalis) and genetic stability evaluation based on ISSR marker variation. In Vitro Cellular & Development Biology - Plant, vol. 48, no. 2, p. 172-179. [CrossRef]

MCCLELLAND, M.; NELSON, M. and RASCHKE, E. (1994). Effect of site-specific modification on restriction endonucleases and DNA modification methyl transferases. Nucleic Acids Research, vol. 22, no. 17, p. 3640-3659. [CrossRef]

MENG, F.R.; LI, Y.C.; YIN, J.; LIU, H.; CHEN, X.J.; NI, Z.F. and SUN, Q.X. (2012). Analysis of DNA methylation during the germination of wheat seeds. Biologia Plantarum, vol. 56, no. 2, p. 269-275. [CrossRef]

MURASHIGE, T. and SKOOG, F. (1962). A revised medium for rapid growth and bioassays with tobacco tissue cultures. Physiologia Plantarum, vol. 15, no. 3, p. 473-497. [CrossRef]

NAKAMURA, S. and HOSAKA, K. (2010). DNA methylation in diploid inbred lines of potatoes and its possible role in the regulation of heterosis. Theoretical and Applied Genetics, vol. 120, no. 2, p. 205-214. [CrossRef]

PEREDO, E.L.; REVILLA, M.Á. and ARROYO-GARCÍA, R. (2006). Assessment of genetic and epigenetic variation in hop plants regenerated from sequential subcultures of organogenic calli. Journal of Plant Physiology, vol. 163, no. 10, p. 1071-1079. [CrossRef]

ROHLF, F. (2006). NTSYSpc: Numerical taxonomy system (ver. 2.2). Exeter Publishing, Ltd., Setauket, NY, USA.

SALMON, A.; CLOTAULT, J.; JENCZEWSKI, E.; CHABLE, V. and MANZANARES-DAULEUX, M.J. (2008). Brassica oleracea displays a high level of DNA methylation polymorphism. Plant Science, vol. 174, no. 1, p. 61-70. [CrossRef]

SARKAR, D.; TIWARI, J.K.; SHARMA, S.; POONAM, C.; SHARMA, S.; GOPAL, J.; SINGH, B.P.; LUTHRA, S.K.; PANDEY, S.K. and PATTANAYAK, D. (2011). Production and characterization of somatic hybrids between Solanum tuberosum L. and S. pinnatisectum Dun. Plant Cell, Tissue and Organ Culture, vol. 107, no. 3, p. 427-440. [CrossRef]

SMULDERS, M.J.M. and DE KLERK, G.J. (2011). Epigenetics in plant tissue culture. Plant Growth Regulation, vol. 63, no. 2, p. 137-146. [CrossRef]

VOS, P.; HOGERS, R.; BLEEKER, M.; REIJANS, M.; VANDELEE, T.; HORNES, M.; FRIJTERS, A.; POT, J.; PALEMAN, J.; KUIPER, M. and ZABEAU, M. (1995). AFLP: A new technique for DNA fingerprinting. Nucleic Acids Research, vol. 23, no. 21, p. 4407-4414. [CrossRef]

WU, Y.; WU, R.; ZHANG, B.; JIANG, T.; LI, N.; QIAN, K.; LIU, B. and ZHANG, J. (2012). Epigenetic instability in genetically stable micropropagated plants of Gardenia jasminoides Ellis. Plant Growth Regulation, vol. 66, no. 2, p. 137-143. [CrossRef]

YANG, C.; HUANG, Y.; TANG, Z.; LU, L. and LIU, L. (2011). Analysis of DNA methylation variation in sibling tobacco (Nicotianatabacum) cultivars. African Journal of Biotechnology, vol. 10, no. 6, p. 874-881.

ZARGHAMI, R.; PIRSEYEDI, M.; HASRAK, S. and SARDROOD, B.P. (2008). Evaluation of genetic stability in cryopreserved Solanum tuberosum. African Journal of Biotechnology, vol. 7, no. 16, p. 2798-2802.

ZILBERMAN, D. and HENIKOFF, S. (2007). Genome-wide analysis of DNA methylation patterns. Development, vol. 134, no. 22, p. 3959-3965. [CrossRef]

Note: Electronic Journal of Biotechnology is not responsible if on-line references cited on manuscripts are not available any more after the date of publication.