<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">AJPS</journal-id><journal-title-group><journal-title>American Journal of Plant Sciences</journal-title></journal-title-group><issn pub-type="epub">2158-2742</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ajps.2020.119102</article-id><article-id pub-id-type="publisher-id">AJPS-103106</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Biomedical&amp;Life Sciences</subject></subj-group></article-categories><title-group><article-title>
 
 
  Assessment of Genetic Variation in Soybean (&lt;i&gt;Glycine max&lt;/i&gt;) Accessions from International Gene Pools Using RAPD Markers: Comparison with the ISSR System
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Kabwe</surname><given-names>Nkongolo</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Sarah</surname><given-names>Alamri</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Paul</surname><given-names>Michael</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>Biomolecular Sciences Program, Laurentian University, Sudbury, Ontario, Canada</addr-line></aff><aff id="aff1"><addr-line>Department of Biology, Laurentian University, Sudbury, Ontario, Canada</addr-line></aff><pub-date pub-type="epub"><day>14</day><month>09</month><year>2020</year></pub-date><volume>11</volume><issue>09</issue><fpage>1414</fpage><lpage>1428</lpage><history><date date-type="received"><day>14,</day>	<month>August</month>	<year>2020</year></date><date date-type="rev-recd"><day>21,</day>	<month>September</month>	<year>2020</year>	</date><date date-type="accepted"><day>24,</day>	<month>September</month>	<year>2020</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Soybean (
  Glycine 
  max
  ) is one of the most important crops in the world in terms of total production and usage. It is also among the least diverse species. The main objectives of the present study were to 1) assess the level of genetic variation among soybean (
  G. 
  max
  ) accessions from different countries using Random Amplified Polymorphic DNA (RAPD) markers and 2) compare Inter Simple Sequence Repeats (ISSR) and RAPD marker systems in detecting polymorphic loci in soybeans (
  G. 
  max
  ). Genomic DNAs from 108 soybeans (
  G. 
  max
  ) accessions from 11 different gene pools were analyzed using several ISSR and RAPD primers. The average level of polymorphic loci detected with the RAPD primers was 35%. The soybean accessions from the China, Netherlands, and Canada gene pools were the least genetically variable with 25%, 26%, and 30% of polymorphic loci, respectively. Accessions from Hungary (43%) and France (48%) showed the highest level of polymorphism based on the RAPD analysis. Overall, RAPD data revealed that the accessions from different countries are closely related with 64% genetic distance values below 0.40. The levels of polymorphic loci detected with the RAPD and ISSR marker systems were in general moderate and similar even if they target different regions of the genome. A combination of different marker systems that include RAPD/ISSR, microsatellites (SSR), and SNPs should provide the most accurate information on genetic variation of soybean (
  G. 
  max
  ) accessions.
 
</p></abstract><kwd-group><kwd>Soybean</kwd><kwd> &lt;i&gt;Glycine max&lt;/i&gt;</kwd><kwd> Genetic Variations</kwd><kwd> ISSR</kwd><kwd> RAPD</kwd><kwd> Molecular Markers</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Soybean (Glycine max) is the most important grain legume in the world in terms of total production. Diversities in many crops such as soybean have been documented based on morphological and agronomical traits [<xref ref-type="bibr" rid="scirp.103106-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.103106-ref2">2</xref>]. Such characters are strongly influenced by environmental factors and the developmental stage of the plant. Since the early nineties, molecular markers have been developed as alternative methods and they are extremely effective in population genetics studies [<xref ref-type="bibr" rid="scirp.103106-ref3">3</xref>].</p><p>Protein or enzyme variation can be used to study genetic diversity of crop germplasm. However, the limited number of isozymes of proteins and enzymes can limit their usefulness. Polymorphic DNA markers can provide an ideal alternative method for evaluating genetic diversity in soybean germplasm [<xref ref-type="bibr" rid="scirp.103106-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.103106-ref5">5</xref>]. Soybean Restriction Fragment Length Polymorphism (RFLP) markers were first introduced in the late 1980s [<xref ref-type="bibr" rid="scirp.103106-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.103106-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.103106-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.103106-ref7">7</xref>]. Maughan et al. [<xref ref-type="bibr" rid="scirp.103106-ref8">8</xref>] evaluated 23 G. max and G. soja accessions with 759 Amplified Fragment Length Polymorphisms (AFLP) fragments. They found that 36% were polymorphic across all genotypes. Within the group of G. soja accessions, 31% were polymorphic, but only 17% were polymorphic within G. max accessions.</p><p>Random Amplified Polymorphic DNA (RAPD) markers have been shown to be a simple and effective means to evaluate variability in crop [<xref ref-type="bibr" rid="scirp.103106-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.103106-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.103106-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.103106-ref12">12</xref>]. Based on principal component analysis of RAPD data on 35 soybean lines, Thompson et al. [<xref ref-type="bibr" rid="scirp.103106-ref13">13</xref>] established a core set of RAPD primers with high polymorphism in soybean. These 35 core RAPD primers have been used in other studies for genetic diversity analysis in soybean [<xref ref-type="bibr" rid="scirp.103106-ref14">14</xref>]. They evaluated 18 U.S. soybean ancestors and 17 selected accessions from the USDA Soybean Germplasm Collection. The clusters defined by the RAPD data corresponded to known pedigrees, origins and maturity groups.</p><p>The first demonstration of simple sequence repeat (SSR) allelic variation and heritability in a plant species was in soybean, and SSRs have been shown to be highly polymorphic in soybean [<xref ref-type="bibr" rid="scirp.103106-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.103106-ref16">16</xref>]. Brown-Guedira et al. [<xref ref-type="bibr" rid="scirp.103106-ref14">14</xref>] observed a higher level of genetic diversity with the SSR system compared to RAPD markers. Akkaya et al. [<xref ref-type="bibr" rid="scirp.103106-ref15">15</xref>] employed SSRs to evaluate the diversity of 43 ancestral and commercial cultivars representing the U.S. gene pool. They determined that, in general, SSRs with AT core motifs are most polymorphic in soybean, followed by those with ATT cores. Rongwen et al. [<xref ref-type="bibr" rid="scirp.103106-ref17">17</xref>] detected 11 to 26 alleles at each of seven SSR loci in a diverse sample of soybean genotypes including U.S. cultivars, and introductions of G. max and G. soja, including Chinese landraces. Recent studies showed that SSR markers are still widely used to assess soybean genetic diversity [<xref ref-type="bibr" rid="scirp.103106-ref18">18</xref>] [<xref ref-type="bibr" rid="scirp.103106-ref19">19</xref>].</p><p>Inter Simple Sequence Repeats (ISSR) is a different marker system that has been successfully applied to genetic analysis of plants. The ISSR method provides an alternative choice to other systems for obtaining highly reproducible markers without any necessity for prior sequence information for various genetic analyses [<xref ref-type="bibr" rid="scirp.103106-ref12">12</xref>] [<xref ref-type="bibr" rid="scirp.103106-ref20">20</xref>] [<xref ref-type="bibr" rid="scirp.103106-ref21">21</xref>] [<xref ref-type="bibr" rid="scirp.103106-ref22">22</xref>]. ISSR method takes advantage of the ubiquitously distributed SSRs in the eukaryotic genomes. Because of those abundant and rapidly evolving SSR regions, ISSR amplification has the potential of revealing larger numbers of polymorphic fragments per primer than any other marker system used such. As the PCR reaction amplify the sequence between two SSRs, the PCR products generated reveal multilocus profiles which could be revealed on agarose or polyacrylamide gels.</p><p>The objectives of the present study were to 1) assess genetic variation in soybean accessions from 11 countries using RAPD markers and 2) compare the levels of polymorphic loci generated with the RAPD and ISRR marker systems.</p></sec><sec id="s2"><title>2. Materials and Methods</title><sec id="s2_1"><title>2.1. Genetic Materials</title><p>G. max varieties were provided by the Plant Gene Resources of Canada (PGRC). They were from 11 countries including Canada, China, Russia, Germany, Hungary, France, Netherlands, Sweden, South Korea, Japan, and Poland were used for the present study (<xref ref-type="table" rid="table1">Table 1</xref>). Seeds from these varieties were placed in clear Petri dishes lined with two layers of wet filter paper and kept in a growth chamber for a period of 14 to 21 days. The germination conditions consisted in a repeating cycle: 16 hours of daylight at 30˚C and 8 hours of darkness at 20˚C. Once the seedlings reached 5 to 10 cm, leaf samples were collected, frozen in liquid nitrogen and stored at −80˚ until the DNA was extracted.</p><table-wrap-group id="1"><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Soybean (Glycine max) accessions used in the analysis of genetic variation</title></caption><table-wrap id="1_1"><table><tbody><thead><tr><th align="center" valign="middle" >Accession and origin</th><th align="center" valign="middle" >Name</th></tr></thead><tr><td align="center" valign="middle" >Canada</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >CN33248 CN33251 CN33259 CN33275 CN36136 CN39086 CN107377 CN107380 CN107433</td><td align="center" valign="middle" >Harosoy63 Harwood Capital Maple Arrow BK17_1_4 X702_3_2 AC Albatros Medallion AC Hercule</td></tr><tr><td align="center" valign="middle" >China</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >CN29744 CN29747 CN29791 CN29797 CN30318 CN36008 CN43603 CN107585 CN107650 CN107658</td><td align="center" valign="middle" >Seeh Tieh No.5 Kao Chien Tao Feng Shou No.10 Jin Shen Chi Small Golden Yello No.1 Gang 7126_9 Wen Feng 7 PI358320 Salut216 China Hej He 3</td></tr></tbody></table></table-wrap><table-wrap id="1_2"><table><tbody><thead><tr><th align="center" valign="middle" >France</th><th align="center" valign="middle" ></th></tr></thead><tr><td align="center" valign="middle" >107467CN 107502CN 107504CN 107507CN 107509CN 107511CN 10516CN 107517CN 107518CN 107515CN</td><td align="center" valign="middle" >Grignon 39 B10 Grignon 19 SS Tulowka Jaune De Desme Rouest 13 AI 2 SEMILUTEA Halton Geant Vert</td></tr><tr><td align="center" valign="middle" >Germany</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >107492CN 107497CN 107499CN 107510CN 107513CN 107548CN 107550CN 107561CN 107616CN 107490</td><td align="center" valign="middle" >Strain No. 42 Strain No. 134 Strain No. 164 Bitterhof Nordeutsche Swart Matt Soja_C._St.4/58 Soja_C.St_. 12/58 Soya Heimkraft II Praemata Strain No. 14</td></tr><tr><td align="center" valign="middle" >Japan</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >107592CN 107593CN 107595CN 107625CN 107629CN 107630CN 107631CN 107632CN 107634CN 107635CN</td><td align="center" valign="middle" >Karafuto No. 1 Kamishunbetzu Shinsei Ezonishiki Grignon 48 (Herb 22) Pulawska Wczesna A401 B44 Soja 27/60 Heimkraft I</td></tr><tr><td align="center" valign="middle" >Hungary</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >30629CN 32353CN 107557CN 107559CN 107560CN 107562CN 107563CN 107619CN 107569CN</td><td align="center" valign="middle" >Mica Hungara ISZ8 Keszthelyi Aproszemu Sarga Reatz Balvanska Vince Wielnska Brunatna PI 378666 Iregi Nagyszemu Feher</td></tr><tr><td align="center" valign="middle" >South Korea</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >35309CN 35310CN 35312CN 35313CN 35319CN 35320CN 35344CN 35348CN 35352CN 35353CN</td><td align="center" valign="middle" >KAS131_8 KAS131_9 KAS133_3 PGR 7568 KAS160_2 PGR 7576 PGR7640 KAS581_13 PGR 7691 KAS604_23</td></tr></tbody></table></table-wrap><table-wrap id="1_3"><table><tbody><thead><tr><th align="center" valign="middle" >Netherland</th><th align="center" valign="middle" ></th></tr></thead><tr><td align="center" valign="middle" >107462CN 107472CN 107475CN 107481CN 107482CN 107483CN 107484CN 107485CN 107486CN 10487CN</td><td align="center" valign="middle" >No. D.47 Ras 20 J_5A No.39 No.47 No.48 No.701 Np.707 No.709 No.713</td></tr><tr><td align="center" valign="middle" >Russia</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >29403CN 30391CN 35917CN 52638CN 52641CN 52644CN 52645CN 107567CN 107572CN</td><td align="center" valign="middle" >Amurskaja Primorskaja Ussurijskaja Bisser Vzlyot Smena Seroglazka Salut216 Urozsajnaja</td></tr><tr><td align="center" valign="middle" >Poland</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >107547CN 107552CN 107553CN 107554CN 107637CN 107638CN 107639CN 107640CN 107642CN 107643CN</td><td align="center" valign="middle" >Bydgoska 052 Zlotka N. 1954 N. 2054 Bydgoska 057 Bydgoska 071 Bydgoska 074 Czarna Swhn Zlocista Zolta Przebeowska</td></tr><tr><td align="center" valign="middle" >Sweden</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >107520CN 107525CN 107526CN 107529CN 107533CN 107534CN 107535CN 107536CN 107537CN 107541CN</td><td align="center" valign="middle" >698-1-1 744-1 748-5 749-2 753-1 634-13-42-2 634-20-4-29 706-4-1 756-2 770-3</td></tr></tbody></table></table-wrap></table-wrap-group></sec><sec id="s2_2"><title>2.2. DNA Extraction and Amplification</title><p>Total DNA was extracted from fresh frozen leaf material using the CTAB extraction protocol as described by Boyd et al. [<xref ref-type="bibr" rid="scirp.103106-ref23">23</xref>] and Moraefi et al. [<xref ref-type="bibr" rid="scirp.103106-ref22">22</xref>]. After extraction, DNA was stored in a freezer at −20˚C.</p><p>Twelve RAPD primers were chosen for preliminary amplification of DNA from 108 G. max varieties. Five of these primers were selected for this genetic variation investigation (<xref ref-type="table" rid="table2">Table 2</xref>). To compare RAPD and ISSR markers systems, five ISSR primers that were previously evaluated were also used for DNA amplification [<xref ref-type="bibr" rid="scirp.103106-ref24">24</xref>]. They are described in <xref ref-type="table" rid="table2">Table 2</xref>. All primers were standardized to a 25 ng/ml stock solution. DNA amplification was performed using the procedure described by Nkongolo et al. [<xref ref-type="bibr" rid="scirp.103106-ref20">20</xref>] and Boyd et al. [<xref ref-type="bibr" rid="scirp.103106-ref23">23</xref>]. PCR (Polymerase Chain Reaction amplification) amplification was performed in a 25 &#181;l volumes that contained 4 mM MgCl<sub>2</sub>, 2.1 &#181;l of 10x buffer (BioBasics), 200 &#181;M of each dNTP (BioBasics), 0.5 &#181;M primers,10 ng of template and 0.625 units of Taq polymerase (BioBasics). A negative control was included with every reaction. The samples were overlaid with mineral oil and were amplified on an Eppendorf Master Cycler thermal cycler. The thermal cycler was programmed for a “hot start” of 5 minutes at 95˚C followed by 2 minutes at 85˚C and 42 cycles of 30 secs at 95˚C, 1:30 min at 55˚C and 30 secs at 72˚C, 7 minutes extension at 72˚C.</p><p>The amplified DNA was separated using a 2% agarose gel in 0.5X TrisBorate-EDTA buffer (TBE) containing 0.5 &#181;g/ml ethidium bromide. The gels were documented using a Bio-Rad Chemidoc XRS system and analyzed with Discovery Series Quantity One 1D Analysis Software.</p></sec><sec id="s2_3"><title>2.3. ISSR and RAPD Analysis</title><p>ISSR and RAPD primers that amplified consistent profiles across the populations were selected for the final analysis. ISSR and RAPD amplification products from each accession from the eleven countries were scored using POPGENE version 1.32 [<xref ref-type="bibr" rid="scirp.103106-ref17">17</xref>]. The presence or absence of fragments was scored as 1 or 0 for each band, in order to determine variation between accessions (within and between countries). Genetic distances were generated using FreeTree [<xref ref-type="bibr" rid="scirp.103106-ref25">25</xref>] [<xref ref-type="bibr" rid="scirp.103106-ref26">26</xref>].</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Polymorphic loci (%) generated with RAPD primers using soybean accessions from different countries</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Countries</th><th align="center" valign="middle" >Total number of polymorphic bands</th><th align="center" valign="middle" >Polymorphic bands (%)</th></tr></thead><tr><td align="center" valign="middle" >Canada</td><td align="center" valign="middle" >58</td><td align="center" valign="middle" >29.90%</td></tr><tr><td align="center" valign="middle" >China</td><td align="center" valign="middle" >48</td><td align="center" valign="middle" >24.74%</td></tr><tr><td align="center" valign="middle" >France</td><td align="center" valign="middle" >93</td><td align="center" valign="middle" >47.94%</td></tr><tr><td align="center" valign="middle" >Germany</td><td align="center" valign="middle" >69</td><td align="center" valign="middle" >35.57%</td></tr><tr><td align="center" valign="middle" >Japan</td><td align="center" valign="middle" >67</td><td align="center" valign="middle" >34.54%</td></tr><tr><td align="center" valign="middle" >Hungary</td><td align="center" valign="middle" >84</td><td align="center" valign="middle" >43.30%</td></tr><tr><td align="center" valign="middle" >South Korea</td><td align="center" valign="middle" >66</td><td align="center" valign="middle" >34.02%</td></tr><tr><td align="center" valign="middle" >Netherlands</td><td align="center" valign="middle" >51</td><td align="center" valign="middle" >26.29%</td></tr><tr><td align="center" valign="middle" >Russia</td><td align="center" valign="middle" >77</td><td align="center" valign="middle" >39.69%</td></tr><tr><td align="center" valign="middle" >Poland</td><td align="center" valign="middle" >72</td><td align="center" valign="middle" >37.11%</td></tr><tr><td align="center" valign="middle" >Sweden</td><td align="center" valign="middle" >62</td><td align="center" valign="middle" >31.96%</td></tr></tbody></table></table-wrap></sec></sec><sec id="s3"><title>3. Results</title>RAPD Analysis<p>All DNA samples were tested to assess their quality. They all showed a large molecular weight band, indicating that they were not degraded and were deemed suitable for PCR amplification. A total of 12 RAPD primers were screened. Five primers were selected for further study based on their amplification and reproducibility to analyze the DNA samples from all the targeted countries. These primers include OPA 11, Pinus 23, UBC 377, UBC186, and Grasse 8 (<xref ref-type="table" rid="table3">Table 3</xref>).</p><p><xref ref-type="fig" rid="fig1">Figure 1</xref> and <xref ref-type="fig" rid="fig2">Figure 2</xref> depict amplified products generated with RAPD primers OPA 11 and UBC 377. The highest polymorphic index among accessions was 48.00% in France, followed by accessions from Hungary with 43.30%. Over all, the lowest polymorphic index was 29.90%, 26.29% and 24.74% observed in accessions from Canada, Netherlands and China, respectively (<xref ref-type="table" rid="table4">Table 4</xref>).</p><p>At the primer level, primers RAPD 186 and RAPD Grass 8 generated the most number of bands (41) followed by UBC 377 with 40 bands. The lowest number of amplified product was observed with primer Pinus 23. The highest level of polymorphic loci (46.30%) was detected with primer RAPD 186 and the lowest with UBC 377 (<xref ref-type="table" rid="table4">Table 4</xref>). Overall, there were no significant differences among primers for the detection of polymorphism using all G. max accessions.</p><p>The genetic distance values based on RAPD data are described in <xref ref-type="table" rid="table5">Table 5</xref>. Accessions from Canada and Netherland were the most genetically closely related with accessions from Russia and South Korea being the most distant (<xref ref-type="table" rid="table5">Table 5</xref>). Overall, RAPD data revealed that the accessions from different countries are closely related with 64% genetic distance values below 0.40. Comparison of ISSR and RAPD Polymorphism.</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Nucleotide sequence and G+C content for the five ISSR and RAPD primers used to amplify DNA accessions</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Primer identification</th><th align="center" valign="middle" >Nucleotide sequence (5'-3')</th><th align="center" valign="middle" >G+C content (%)</th></tr></thead><tr><td align="center" valign="middle" >RAPD primers RAPD UBC 186</td><td align="center" valign="middle" >GTGCGTGGCT</td><td align="center" valign="middle" >70</td></tr><tr><td align="center" valign="middle" >UBC 337</td><td align="center" valign="middle" >TCCCGAACCG</td><td align="center" valign="middle" >70</td></tr><tr><td align="center" valign="middle" >GRASSE 8</td><td align="center" valign="middle" >GGGTAACGCC</td><td align="center" valign="middle" >70</td></tr><tr><td align="center" valign="middle" >PINUS 23 ISSR primers</td><td align="center" valign="middle" >CCCGCCTTCC</td><td align="center" valign="middle" >80</td></tr><tr><td align="center" valign="middle" >ISSR 5</td><td align="center" valign="middle" >ACGACGACGACGGAC</td><td align="center" valign="middle" >64.28</td></tr><tr><td align="center" valign="middle" >ISSR Echt 6</td><td align="center" valign="middle" >ACTCACTCGC</td><td align="center" valign="middle" >60</td></tr><tr><td align="center" valign="middle" >UBC 873</td><td align="center" valign="middle" >GACAGACAGACAGACA</td><td align="center" valign="middle" >50.00</td></tr><tr><td align="center" valign="middle" >SC ISSR 6</td><td align="center" valign="middle" >TTGTTGTTGTTGTTGGB</td><td align="center" valign="middle" >35.3</td></tr><tr><td align="center" valign="middle" >ISSR 849</td><td align="center" valign="middle" >GTGTGTGTGTGTGTGTYA</td><td align="center" valign="middle" >44.44</td></tr></tbody></table></table-wrap><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Polymorphic loci (%) generated by each RAPD primer used to amplify DNA from soybean (Glycine max) accessions from different countries</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="13"  >Countries</th></tr></thead><tr><td align="center" valign="middle" >Primers</td><td align="center" valign="middle" >Canada</td><td align="center" valign="middle" >China</td><td align="center" valign="middle" >France</td><td align="center" valign="middle" >Germany</td><td align="center" valign="middle" >Japan</td><td align="center" valign="middle" >Hungary</td><td align="center" valign="middle" >South Korea</td><td align="center" valign="middle" >Netherlands</td><td align="center" valign="middle" >Russia</td><td align="center" valign="middle" >Poland</td><td align="center" valign="middle" >Sweden</td><td align="center" valign="middle" >Polymorphic bands (%)</td></tr><tr><td align="center" valign="middle" >RAPD UBC 186</td><td align="center" valign="middle" >10/41</td><td align="center" valign="middle" >14/41</td><td align="center" valign="middle" >19/41</td><td align="center" valign="middle" >19/41</td><td align="center" valign="middle" >19/41</td><td align="center" valign="middle" >25/41</td><td align="center" valign="middle" >20/41</td><td align="center" valign="middle" >20/41</td><td align="center" valign="middle" >21/41</td><td align="center" valign="middle" >24/41</td><td align="center" valign="middle" >18/41</td><td align="center" valign="middle" >46.34%</td></tr><tr><td align="center" valign="middle" >RAPD UBC 377</td><td align="center" valign="middle" >13/40</td><td align="center" valign="middle" >8/40</td><td align="center" valign="middle" >21/40</td><td align="center" valign="middle" >13/40</td><td align="center" valign="middle" >18/40</td><td align="center" valign="middle" >14/40</td><td align="center" valign="middle" >14/40</td><td align="center" valign="middle" >11/40</td><td align="center" valign="middle" >15/40</td><td align="center" valign="middle" >20/40</td><td align="center" valign="middle" >16/40</td><td align="center" valign="middle" >41.28%</td></tr><tr><td align="center" valign="middle" >RAPD Grasse8</td><td align="center" valign="middle" >14/41</td><td align="center" valign="middle" >/1841</td><td align="center" valign="middle" >21/41</td><td align="center" valign="middle" >18/41</td><td align="center" valign="middle" >17/41</td><td align="center" valign="middle" >20/41</td><td align="center" valign="middle" >17/41</td><td align="center" valign="middle" >16/41</td><td align="center" valign="middle" >18/41</td><td align="center" valign="middle" >16/41</td><td align="center" valign="middle" >19/41</td><td align="center" valign="middle" >43.02%</td></tr><tr><td align="center" valign="middle" >OPA11</td><td align="center" valign="middle" >18/38</td><td align="center" valign="middle" >16/38</td><td align="center" valign="middle" >22/38</td><td align="center" valign="middle" >20/38</td><td align="center" valign="middle" >18/38</td><td align="center" valign="middle" >18/38</td><td align="center" valign="middle" >16/38</td><td align="center" valign="middle" >9/38</td><td align="center" valign="middle" >21/38</td><td align="center" valign="middle" >16/38</td><td align="center" valign="middle" >14/38</td><td align="center" valign="middle" >44.98%</td></tr><tr><td align="center" valign="middle" >PINUS 23</td><td align="center" valign="middle" >22/34</td><td align="center" valign="middle" >13/34</td><td align="center" valign="middle" >17/34</td><td align="center" valign="middle" >13/34</td><td align="center" valign="middle" >14/34</td><td align="center" valign="middle" >18/34</td><td align="center" valign="middle" >14/34</td><td align="center" valign="middle" >13/34</td><td align="center" valign="middle" >14/34</td><td align="center" valign="middle" >14/34</td><td align="center" valign="middle" >12/34</td><td align="center" valign="middle" >43.85%</td></tr></tbody></table></table-wrap><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> Distance matrix generated with Glycine max RAPD data (FreeTree)</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="12"  >Countries</th></tr></thead><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Canada</td><td align="center" valign="middle" >China</td><td align="center" valign="middle" >France</td><td align="center" valign="middle" >Germany</td><td align="center" valign="middle" >Japan</td><td align="center" valign="middle" >Hungary</td><td align="center" valign="middle" >South Korea</td><td align="center" valign="middle" >Netherlands</td><td align="center" valign="middle" >Russia</td><td align="center" valign="middle" >Poland</td><td align="center" valign="middle" >Sweden</td></tr><tr><td align="center" valign="middle" >Canada</td><td align="center" valign="middle" >0.00000</td><td align="center" valign="middle" >0.5051</td><td align="center" valign="middle" >0.40476</td><td align="center" valign="middle" >0.36752</td><td align="center" valign="middle" >0.35833</td><td align="center" valign="middle" >0.35433</td><td align="center" valign="middle" >0.35656</td><td align="center" valign="middle" >0.22689</td><td align="center" valign="middle" >0.32353</td><td align="center" valign="middle" >0.25564</td><td align="center" valign="middle" >0.24800</td></tr><tr><td align="center" valign="middle" >China</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.00000</td><td align="center" valign="middle" >0.43220</td><td align="center" valign="middle" >0.43396</td><td align="center" valign="middle" >0.38393</td><td align="center" valign="middle" >0.36667</td><td align="center" valign="middle" >0.34677</td><td align="center" valign="middle" >0.23214</td><td align="center" valign="middle" >0.29323</td><td align="center" valign="middle" >0.27200</td><td align="center" valign="middle" >0.23333</td></tr><tr><td align="center" valign="middle" >France</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.00000</td><td align="center" valign="middle" >0.51240</td><td align="center" valign="middle" >0.43077</td><td align="center" valign="middle" >0.42336</td><td align="center" valign="middle" >0.43478</td><td align="center" valign="middle" >0.26119</td><td align="center" valign="middle" >0.39041</td><td align="center" valign="middle" >0.31034</td><td align="center" valign="middle" >0.31618</td></tr><tr><td align="center" valign="middle" >Germany</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.00000</td><td align="center" valign="middle" >0.40833</td><td align="center" valign="middle" >0.41270</td><td align="center" valign="middle" >0.38168</td><td align="center" valign="middle" >0.25620</td><td align="center" valign="middle" >0.34783</td><td align="center" valign="middle" >0.30075</td><td align="center" valign="middle" >0.28571</td></tr><tr><td align="center" valign="middle" >Japan</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.00000</td><td align="center" valign="middle" >0.52101</td><td align="center" valign="middle" >0.38346</td><td align="center" valign="middle" >0.29167</td><td align="center" valign="middle" >0.35000</td><td align="center" valign="middle" >0.34351</td><td align="center" valign="middle" >0.30952</td></tr><tr><td align="center" valign="middle" >Hungary</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.00000</td><td align="center" valign="middle" >0.41912</td><td align="center" valign="middle" >0.35537</td><td align="center" valign="middle" >0.42446</td><td align="center" valign="middle" >0.38060</td><td align="center" valign="middle" >0.32824</td></tr><tr><td align="center" valign="middle" >South Korea</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.00000</td><td align="center" valign="middle" >0.41525</td><td align="center" valign="middle" >0.55814</td><td align="center" valign="middle" >0.43511</td><td align="center" valign="middle" >0.31111</td></tr><tr><td align="center" valign="middle" >Netherlands</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.00000</td><td align="center" valign="middle" >0.47009</td><td align="center" valign="middle" >0.45872</td><td align="center" valign="middle" >0.37037</td></tr><tr><td align="center" valign="middle" >Russia</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.00000</td><td align="center" valign="middle" >0.50781</td><td align="center" valign="middle" >0.38931</td></tr><tr><td align="center" valign="middle" >Poland</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.00000</td><td align="center" valign="middle" >0.45690</td></tr><tr><td align="center" valign="middle" >Sweden</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.00000</td></tr></tbody></table></table-wrap><p>Detailed analysis of ISSR analysis generated with the same primer used in this study has been described elsewhere. For the present study, the level of polymorphism generated with ISSR and RAPD primers were compared. Data are summarized in figure 19 and 20. Overall, with the exception of data with Chinese accessions, they were no significant difference between ISSR and RAPD polymorphism data (<xref ref-type="fig" rid="fig3">Figure 3</xref>). This was confirmed when the accessions from all the countries were combined to compare ISSR and RAPD data (<xref ref-type="fig" rid="fig4">Figure 4</xref>).</p></sec><sec id="s4"><title>4. Discussion</title><p>Assessment of genetic diversity in a crop species is a prerequisite to its improvement and helps to generate genetically diversified breeding populations. Considerable variation has been recorded for morphological, physiological and agronomic traits in G. max crops [<xref ref-type="bibr" rid="scirp.103106-ref12">12</xref>].</p><p>The average level of genetic variation detected with the five RAPD primers was 35%. This level of polymorphism is lower than other studies [<xref ref-type="bibr" rid="scirp.103106-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.103106-ref14">14</xref>].</p><p>Overall, ISSR and RAPD primers used in the present study revealed a similar level of polymorphism for the G. max accessions analyzed. Previous studies have shown different levels of polymorphism within and among different varieties and species when RAPD and ISSR were compared. For example, Fang and Roose [<xref ref-type="bibr" rid="scirp.103106-ref27">27</xref>] reported high levels of interspecific variation with RAPD markers than with ISSR markers in Citrus species. On the other hands, several authors detected high level of polymorphism with ISSR system compared to RAPD in several plants [<xref ref-type="bibr" rid="scirp.103106-ref12">12</xref>] [<xref ref-type="bibr" rid="scirp.103106-ref20">20</xref>] [<xref ref-type="bibr" rid="scirp.103106-ref28">28</xref>] [<xref ref-type="bibr" rid="scirp.103106-ref29">29</xref>] [<xref ref-type="bibr" rid="scirp.103106-ref30">30</xref>]. Moreover, a close look of the genetic distance analyses in the present study revealed the accessions from different countries are closely related with 64% genetic distance values below 0.40 while ISSR data showed the opposite with 82% of genetic distance values among accessions above 0.40 [<xref ref-type="bibr" rid="scirp.103106-ref24">24</xref>].</p><p>Technically, RAPD and ISSR are both dominant markers that target different areas in the genome. RAPD markers reveal polymorphisms in coding and non-coding regions, as well as repeated or single copy sequences covering the entire genome [<xref ref-type="bibr" rid="scirp.103106-ref31">31</xref>]. The system involves the use of a single oligonucleotide of arbitrary sequence to prime the amplification of template DNA by PCR. An oligonucleotide will prime amplification from a genomic template if the binding site on the opposite strand of the template exists within a distance, which can be traversed by the DNA polymerase (up to several thousand nucleotides).</p><p>The amplification with arbitrary primers is mainly driven by the interaction between primer, template annealing sites and enzymes [<xref ref-type="bibr" rid="scirp.103106-ref20">20</xref>] [<xref ref-type="bibr" rid="scirp.103106-ref32">32</xref>]. Genomic polymorphisms at one or both priming sites result in the non-amplification of a band. RAPD are thus dominant markers and appearance of a band implies homology with the primer used. All other alleles at the priming site will be represented by absence of the band. Dominant RAPD markers resulting from insertions or deletions between priming sites and observed as different sized fragments amplified from the same locus, are detected rarely (Williams et al., 1990). A primer usually amplifies several bands, each originating from a different genomic location. The nature of the fragments amplified is influenced dramatically by the sequence of both primers and template.</p><p>RAPD usually uses a 10 bp arbitrary primer. Although the sequences are arbitrary chosen, two basic criteria must be met: at least 50% Guanine-Cytosine content and the absence of palindromic sequences [<xref ref-type="bibr" rid="scirp.103106-ref32">32</xref>]. Primers as short as 5 nucleotides give more complex banding patterns requiring more sophisticated electrophoretic and staining procedures (acrylamide gels and silver staining). RAPD analysis results in the amplification of one locus and two kinds of polymorphism: the band may be present or absent, and the brightness of the band may be different. Band intensity differences could be due to low copy number or relative sequence abundance (Devos and Gale [<xref ref-type="bibr" rid="scirp.103106-ref33">33</xref>] and may serve to distinguish homozygote dominant individuals from heterozygotes, as less bright bands are expected for the latter. Ellsworth et al. [<xref ref-type="bibr" rid="scirp.103106-ref34">34</xref>] indicated that the fact that fainter bands are generally robust, varying degrees of primer mismatch may account for band intensity differences. As the source of the band intensity difference is uncertain most studies disregard scoring differences in band intensity [<xref ref-type="bibr" rid="scirp.103106-ref32">32</xref>].</p><p>The origin of the ISSR amplification products is known to be from the sequences between two simple-sequence repeat (also known as Microsatellite) primer sites where length variation does not necessarily reflect simple-sequence length polymorphism [<xref ref-type="bibr" rid="scirp.103106-ref35">35</xref>]. Microsatellite loci are dispersed throughout the genome and are hypervariable because of DNA slippage (Semagn et al., 2006). ISSR marker system accesses variation in the numerous micro-satellite regions dispersed throughout the genome (Semagn et al., 2006) and circumvents the challenge of characterizing individual loci that other molecular approaches require. ISSR involves amplification of regions between adjacent, inversely oriented microsatellites, using a simple sequence repeat (SSR) motif containing primers anchored at 3’ or 5’ end by two or four arbitrary, often degenerate nucleotides [<xref ref-type="bibr" rid="scirp.103106-ref35">35</xref>]. Microsatellites are very short (usually 10 - 20 bp) stretches of DNA that are hypervariable, expressed as different variants within populations and among different species. They are characterized by mono-, di- or tri-nucleotide repeats (AA, AG, CAG respectively) that have 4 - 10 units side by side. ISSR marker system is based on the use of 15 - 20 bp primers designed to be complementary to microsatellite sequences found throughout Eukaryotic genomes. Therefore, this PCR based technique involves the amplification of DNA segments present between two identical microsatellites that are oriented in opposite directions [<xref ref-type="bibr" rid="scirp.103106-ref36">36</xref>]. ISSRs specifically target the di- and tri-nucleotide repeats a type of microsatellite that is characteristic of the nuclear genome (mono nucleotide are found in chloroplast genome [<xref ref-type="bibr" rid="scirp.103106-ref37">37</xref>].</p><p>Most often ISSR detects more polymorphisms than RAPD primers because of the high levels of variability in microsatellite loci. The discrepancy between variations revealed by RAPD and ISSR result from different targeted genomic areas, which undergo a different evolutionary process due to selection forces [<xref ref-type="bibr" rid="scirp.103106-ref12">12</xref>] [<xref ref-type="bibr" rid="scirp.103106-ref31">31</xref>] [<xref ref-type="bibr" rid="scirp.103106-ref38">38</xref>]. Different genetic information is generated when RAPD and ISSR molecular marker techniques are used to assess the inter-specific and intra-specific variability. The level of variation detected with each system greatly depends on the primer used therefore making comparisons for the levels of polymorphism generated with ISSR and RAPD marker systems inappropriate. In addition, both markers systems are cost efficient being PCR based with results from ISSR analyses more repeatable from lab to lab due to longer primers used compared to RAPD [<xref ref-type="bibr" rid="scirp.103106-ref20">20</xref>] [<xref ref-type="bibr" rid="scirp.103106-ref22">22</xref>] [<xref ref-type="bibr" rid="scirp.103106-ref23">23</xref>].</p><p>Among other molecular marker systems, microsatellites and AFLP have been widely used to assess genetic diversity among and within populations [<xref ref-type="bibr" rid="scirp.103106-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.103106-ref38">38</xref>] [<xref ref-type="bibr" rid="scirp.103106-ref39">39</xref>]. Microsatellites amplification is expected to produce a single marker since the microsatellite primers target a single locus [<xref ref-type="bibr" rid="scirp.103106-ref3">3</xref>]. This means that many reactions would be needed to properly determine a population’s genetic variability. AFLP has been gaining popularity over microsatellites in these types of studies. This is in part because AFLP assay is equivalent to the amplification of several microsatellite primers [<xref ref-type="bibr" rid="scirp.103106-ref40">40</xref>]. But, ISSR and RAPD primers are easier to use than AFLP and microsatellites [<xref ref-type="bibr" rid="scirp.103106-ref29">29</xref>] [<xref ref-type="bibr" rid="scirp.103106-ref40">40</xref>] [<xref ref-type="bibr" rid="scirp.103106-ref41">41</xref>].</p></sec><sec id="s5"><title>5. Conclusion</title><p>The main objectives of the present study were to 1) assess the level of genetic variation among 108 soybean accessions from different countries using RAPD markers and 2) compare ISSR and RAPD marker systems in detecting polymorphic loci in soybeans. The average level of polymorphic loci detected with the RAPD primers was 35%. Overall, RAPD data revealed that the accessions from different countries are closely related with 64% genetic distance values below 0.40. The levels of polymorphism detected with the RAPD and ISSR marker systems were moderate and similar even if they target different region of the soybean genome. A combination of different marker systems that include RAPD/ISSR, SSR, and SNPs should provide the most accurate information on genetic variation of soybean accessions.</p></sec><sec id="s6"><title>Acknowledgements</title><p>Financial support from Laurentian University through the Research Fund to Faculty (LURF) is greatly appreciated. Thanks to the Saudi Arabia Government for a graduate scholarship to Sarah Alamri.</p></sec><sec id="s7"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s8"><title>Cite this paper</title><p>Nkongolo, K., Alamri, S. and Michael, P. (2020) Assessment of Genetic Variation in Soybean (Glycine max) Accessions from International Gene Pools Using RAPD Markers: Comparison with the ISSR System. American Journal of Plant Sciences, 11, 1414-1428. https://doi.org/10.4236/ajps.2020.119102</p></sec></body><back><ref-list><title>References</title><ref id="scirp.103106-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Ford, B.A., Ball, P. W. and Ritland K. (1991) Allozyme Diversity and Genetic Relationships among North American Members of the Short-Beaked Taxa of Carex sect. Vesicariae (Cyperaceae). Systematic Botany, 16, 116-131. 
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