<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.3 20210610//EN" "https://jats.nlm.nih.gov/publishing/1.3/JATS-journalpublishing1-3.dtd"><article xml:lang="en" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" article-type="research-article" dtd-version="1.3" xmlns:xlink="http://www.w3.org/1999/xlink"><front><journal-meta><journal-id journal-id-type="issn">2527-2799</journal-id><journal-title-group><journal-title>Bioeksperimen: Jurnal Penelitian Biologi</journal-title><abbrev-journal-title>Bioeksperimen</abbrev-journal-title></journal-title-group><issn pub-type="epub">2527-2799</issn><issn pub-type="ppub">2460-1365</issn><publisher><publisher-name>Universitas Muhammadiyah Surakarta</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.23917/bioeksperimen.v12i1.15768</article-id><title-group><article-title>Assessment of Genetic Diversity in EMS-Induced Porang (Amorphophallus muelleri Blume) Revealed by RAPD Markers</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Haritzah</surname><given-names>Rendha Maulana</given-names></name><address><country>Indonesia</country></address><xref ref-type="aff" rid="AFF-1"></xref></contrib><contrib contrib-type="author"><name><surname>Radita</surname><given-names>Novia Fitri</given-names></name><address><country>Indonesia</country></address><xref ref-type="aff" rid="AFF-1"></xref></contrib><contrib contrib-type="author"><name><surname>Ramadanti</surname><given-names>Isma Salsabila</given-names></name><address><country>Indonesia</country></address><xref ref-type="aff" rid="AFF-1"></xref></contrib><contrib contrib-type="author"><name><surname>Azzahro</surname><given-names>Yusri Despa</given-names></name><address><country>Indonesia</country></address><xref ref-type="aff" rid="AFF-1"></xref></contrib><contrib contrib-type="author"><name><surname>Wahyudi</surname><given-names>Didik</given-names></name><address><country>Indonesia</country><email>didik_wahyudi@bio.uin-malang.ac.id</email></address><xref ref-type="aff" rid="AFF-1"></xref><xref ref-type="corresp" rid="cor-4"></xref></contrib><contrib contrib-type="author"><name><surname>Resmisari</surname><given-names>Ruri Siti</given-names></name><address><country>Indonesia</country></address><xref ref-type="aff" rid="AFF-1"></xref></contrib><contrib contrib-type="author"><name><surname>Suyono</surname></name><address><country>Indonesia</country></address><xref ref-type="aff" rid="AFF-1"></xref></contrib></contrib-group><aff id="AFF-1"><institution content-type="dept">Biology Department, Faculty of Science and Technology</institution><institution-wrap><institution>Universitas Islam Negeri Maulana Malik Ibrahim</institution><institution-id institution-id-type="ror">https://ror.org/03a8hhw69</institution-id></institution-wrap><country country="ID">Indonesia</country></aff><author-notes><corresp id="cor-4">Corresponding author: Didik Wahyudi, Biology Department, Faculty of Science and Technology, Universitas Islam Negeri Maulana Malik Ibrahim.  Email: <email>didik_wahyudi@bio.uin-malang.ac.id</email></corresp></author-notes><pub-date date-type="pub" iso-8601-date="2026-3-31" publication-format="electronic"><day>31</day><month>3</month><year>2026</year></pub-date><volume>12</volume><issue>1</issue><fpage>55</fpage><lpage>64</lpage><history><date date-type="received" iso-8601-date="2026-1-20"><day>20</day><month>1</month><year>2026</year></date><date date-type="rev-recd" iso-8601-date="2026-2-23"><day>23</day><month>2</month><year>2026</year></date><date date-type="accepted" iso-8601-date="2026-2-24"><day>24</day><month>2</month><year>2026</year></date></history><permissions><copyright-statement>Copyright (c) 2026 Bioeksperimen: Jurnal Penelitian Biologi</copyright-statement><copyright-year>2026</copyright-year><copyright-holder>Bioeksperimen: Jurnal Penelitian Biologi</copyright-holder><license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by-nc/4.0/"><ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/">https://creativecommons.org/licenses/by-nc/4.0/</ali:license_ref><license-p>This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.</license-p></license></permissions><self-uri xlink:title="Assessment of Genetic Diversity in EMS-Induced Porang (Amorphophallus muelleri Blume) Revealed by RAPD Markers" xlink:href="https://journals2.ums.ac.id/bioeksperimen/article/view/15768">Assessment of Genetic Diversity in EMS-Induced Porang (Amorphophallus muelleri Blume) Revealed by RAPD Markers</self-uri><abstract><p>Increasing genetic diversity of porang through mutation is urgently needed since porang has low genetic diveristy. Therefore, this study aims to increase the genetic diversity of porang using ethyl methanesulfonate (EMS) and analyze the genetic diversity of porang using RAPD markers. Porang explants were subjected to <italic>in vitro</italic> EMS induction at various concentrations (control, 0.1%, 0.2%, 0.3%, 0.4%, and 0.5%) and evaluated after 35 days. DNA amplification was carried out using 20 RAPD primers. Genetic diversity within and between porang populations was analyzed using POPGENE software, while cluster analysis was performed using PAST software to identify genetic diversity patterns. The results showed that EMS mutation induction effectively increased the genetic diversity of porang. Primers OPA-2 and OPA-9 were identified as the most effective primers for detecting genetic diversity resulting from mutation induction. The 0.2% EMS treatment is recommended because it produced the most notable genetic changes compared to the control and shows potential for generating superior mutants to support porang breeding programs.</p></abstract><kwd-group><kwd>ethyl methanesulfonate</kwd><kwd>genetic mutation</kwd><kwd>RAPD</kwd><kwd>porang</kwd></kwd-group><custom-meta-group><custom-meta><meta-name>File created by JATS Editor</meta-name><meta-value><ext-link xlink:href="https://jatseditor.com" xlink:title="JATS Editor" ext-link-type="uri">JATS Editor</ext-link></meta-value></custom-meta><custom-meta><meta-name>issue-created-year</meta-name><meta-value>2026</meta-value></custom-meta></custom-meta-group></article-meta></front><body><sec><title>Introduction</title><p>Porang <italic>(Amorphophallus muelleri Blume)</italic> is a tuberous plant belonging to the Araceae family <xref ref-type="bibr" rid="BIBR-25">(Wahyudi et al., 2024)</xref>. Porang tubers are known to contain high levels of glucomannan <xref ref-type="bibr" rid="BIBR-7">(Ekowati et al., 2015)</xref>. The glucomannan content in porang tubers has been reported to be higher than several other <italic>Amorphophallus</italic> species, such as <italic>Amorphophallus variabilis</italic> with a content of 47.56% <xref ref-type="bibr" rid="BIBR-8">(Ibrahim et al., 2022)</xref>, as well as <italic>Amorphophallus paeoniifolius</italic> (Dennst.) Nicolson<italic>, </italic>which contains only 2.52-3.2% glucomannan <xref ref-type="bibr" rid="BIBR-7">(Ekowati et al., 2015)</xref>. The high glucomannan content of porang highlights its significant potential for further development in the food industry, particularly in the production of porang rice <xref ref-type="bibr" rid="BIBR-2">(Azhari et al., 2025)</xref>, flour, noodles <xref ref-type="bibr" rid="BIBR-9">(Kamsiati et al., 2022)</xref>, as well as syrup and jelly <xref ref-type="bibr" rid="BIBR-19">(Sharma &amp; Wadhwa, 2022)</xref>.</p><p>Currently, most porang farmers in Indonesia still rely on vegetative propagation methods using both bulbils and tubers <xref ref-type="bibr" rid="BIBR-29">(Yoseva et al., 2022)</xref>. This propagation system produces offspring that are genetically similar to the parent plant, which may limit the new genetic diversity in porang <xref ref-type="bibr" rid="BIBR-11">(Marantika et al., 2025)</xref>. Limited genetic diversity in porang is generally associated with increased susceptibility to both biotic and abiotic stresses <xref ref-type="bibr" rid="BIBR-15">(Salgotra &amp; Chauhan, 2023)</xref>. Therefore, increasing genetic diversity through mutation induction is an important strategy to broaden the genetic base of crop species, including porang.</p><p>Mutagenesis in porang has been successfully achieved through both physical and chemical approaches. Physical mutagenesis in porang using gamma rays, as reported by <xref ref-type="bibr" rid="BIBR-25">(Wahyudi et al., 2024)</xref>, affects morphological traits (number of roots, number of leaves, plant height, and leaf color) as well as anatomical characteristics (stomatal traits and oxalate crystal density). Meanwhile, chemical mutation induction can be performed using oryzalin <xref ref-type="bibr" rid="BIBR-5">(Dwiati et al., 2025)</xref>, colchicine <xref ref-type="bibr" rid="BIBR-23">(Suyono et al., 2023)</xref><xref ref-type="bibr" rid="BIBR-27">(Wahyudi et al., 2025)</xref>, and ethyl methanesulfonate (EMS) <xref rid="BIBR-12" ref-type="bibr">(Poerba et al., 2009)</xref>. Mutagenic compounds such as colchicine and oryzalin are widely recognized for their ability to induce polyploidy <xref ref-type="bibr" rid="BIBR-14">(Rachmatia, 2022)</xref><xref ref-type="bibr" rid="BIBR-23">(Suyono et al., 2023)</xref>. However, these approaches primarily modify chromosome number rather than nucleotide sequences. In contrast, EMS induces genetic diversity through base substitutions at the nucleotide level. The use of EMS to generate genetic diversity at the nucleotide level in porang remains underexplored.</p><p>Ethyl methanesulfonate can induce point mutations through alterations in G/C (guanine-cytosine) base pairs to A/T (adenine-thymine) in the DNA sequence <xref ref-type="bibr" rid="BIBR-20">(Sikora et al., 2011)</xref><xref ref-type="bibr" rid="BIBR-4">(Dlamini, 2021)</xref>. Consequently, EMS can damage DNA bases and trigger errors during gene code reading, thereby enabling the generation of broader genetic diversity in plant populations (<xref ref-type="bibr" rid="BIBR-21">(Sonsan et al., 2023)</xref>; <xref ref-type="bibr" rid="BIBR-24">(Türkoğlu et al., 2023)</xref>). EMS-induced mutagenesis in porang has been reported by <xref ref-type="bibr" rid="BIBR-12">(Poerba et al., 2009)</xref>, however the study was limited to observations of morphology and viability, and thus information on genetic diversity at the molecular level remains unavailable. Therefore, this study aims to assess the genetic diversity of porang after EMS mutation induction using RAPD molecular markers.</p></sec><sec><title>Materials and methods</title><sec><title>1. Sample preparation and in vitro propagation</title><p>Sample propagation was performed through subculture techniques. Explants were subcultured on Murashige and Skoog (MS) medium supplemented with 2 mg L⁻¹ benzyladenine (BA). <italic>In vitro</italic> shoots were removed from the culture bottles and excised approximately 0.5 cm above a Petri dish containing distilled water supplemented with betadine. Subsequently, the explants were transferred onto culture media under sterile conditions. The explant initiation process was conducted in a Laminar Air Flow (LAF) cabinet. Following initiation, the culture bottles were covered with plastic wrap, secured with rubber bands, and incubated at 21 °C under a light intensity of approximately 1000 lux for four months.</p></sec><sec><title>2. Porang mutation induction by EMS</title><p>Ethyl methanesulfonate (EMS) induction on porang shoots was carried out using semi-solid MS medium sterilized at 121 °C for 30 minutes. Under sterile conditions in LAF cabinet, the medium was allowed to reach a temperature of approximately 50-60 °C, after which EMS was added at concentrations of 0% (control), 0.1%, 0.2%, 0.3%, 0.4%, and 0.5% through a 0.22 µm Millipore filter. The explants were transferred to media containing EMS and incubated at 21°C with a light intensity of ±1000 lux for 7 days. After 7 days of EMS treatment, the explants were transferred to MS media with 2 mg/L BA incubated at a temperature of 21°C with a light intensity of ±1000 lux for 35 days.</p></sec><sec><title>3. DNA extraction</title><p>About 100 mg of porang leaf tissue was used for DNA extraction. Genomic DNA was extracted using the Tiangen Genomic DNA kit following the manufacturer’s instructions. The quality of the extracted DNA was qualitatively verified by electrophoresis using a blueGel<sup>TM</sup> electrophoresis system on a 1% agarose gel stained with 2 µg mL⁻¹ DNA stain. NEXmark 100 bp Plus Blue DNA ladder was used as the standard.</p></sec><sec><title>4. DNA Amplification and Visualization</title><p>DNA amplification was performed using a Thermal Cycler ELVE-32G with 20 OPA primers (Operon Technologies) (<xref ref-type="table" rid="table-1">Table 1</xref>). The PCR reaction was prepared in a total volume of 10 µL, consisting of 1 µL of DNA template (20 ng µL), 1 µL of forward primer (10 pmol), 1 µL of reverse primer (10 pmol), 3 µL of nuclease-free water, and 5 µL of GoTaq Master Mix. RAPD-PCR amplification was performed with an initial denaturation at 94 °C for 5 minutes, followed by 45 cycles of denaturation at 94 °C for 30 seconds, annealing temperatures were varied each primer for 60 sec (<xref ref-type="table" rid="table-1">Table 1</xref>), the extension for 90 seconds at 72 °C and terminated by final extension for 7 minutes at 72 ℃ <xref ref-type="bibr" rid="BIBR-26">(Wahyudi et al., 2020)</xref>. The amplification products were analyzed by electrophoresis on a 1.5% agarose gel in 20 mL 1× TBE buffer containing 2 µg/ml nucleic acid stain (NEX View) and visualized using a blueGel<sup>TM</sup> electrophoresis system with a 100 bp DNA ladder (NEXmark Ladder).</p><table-wrap id="table-1" ignoredToc=""><label>Table 1</label><caption><p>DNA sequences, GC content, annealing and melting temperature of OPA primers used in this study</p></caption><table frame="box" rules="all"><thead><tr><th colspan="1" valign="top" align="left"><bold>Primer</bold></th><th valign="top" align="left" colspan="1"><bold>Sequences (‘5-‘3)</bold></th><th align="left" colspan="1" valign="top"><bold>GC Content (%)</bold></th><th valign="top" align="left" colspan="1"><bold>TA (℃)</bold></th></tr></thead><tbody><tr><td valign="top" align="left" colspan="1">OPA-01</td><td align="left" colspan="1" valign="top">CAG GCC CTT C</td><td colspan="1" valign="top" align="left">70</td><td valign="top" align="left" colspan="1">34</td></tr><tr><td valign="top" align="left" colspan="1">OPA-02</td><td colspan="1" valign="top" align="left">TGC CGA GCT G</td><td align="left" colspan="1" valign="top">70</td><td valign="top" align="left" colspan="1">38</td></tr><tr><td align="left" colspan="1" valign="top">OPA-03</td><td align="left" colspan="1" valign="top">AGT CAG CCA C</td><td valign="top" align="left" colspan="1">60</td><td valign="top" align="left" colspan="1">33</td></tr><tr><td colspan="1" valign="top" align="left">OPA-04</td><td valign="top" align="left" colspan="1">AAT CGG GCT G</td><td align="left" colspan="1" valign="top">60</td><td valign="top" align="left" colspan="1">33</td></tr><tr><td align="left" colspan="1" valign="top">OPA-05</td><td valign="top" align="left" colspan="1">AGG GGT CTT G</td><td align="left" colspan="1" valign="top">60</td><td colspan="1" valign="top" align="left">34</td></tr><tr><td valign="top" align="left" colspan="1">OPA-06</td><td valign="top" align="left" colspan="1">GGT CCC TGA C</td><td valign="top" align="left" colspan="1">70</td><td valign="top" align="left" colspan="1">33</td></tr><tr><td valign="top" align="left" colspan="1">OPA-07</td><td align="left" colspan="1" valign="top">GAA ACG GGT G</td><td colspan="1" valign="top" align="left">60</td><td align="left" colspan="1" valign="top">31</td></tr><tr><td align="left" colspan="1" valign="top">OPA-08</td><td valign="top" align="left" colspan="1">GTG ACG TAG G</td><td colspan="1" valign="top" align="left">60</td><td valign="top" align="left" colspan="1">36</td></tr><tr><td valign="top" align="left" colspan="1">OPA-09</td><td valign="top" align="left" colspan="1">GGG TAA CGC C</td><td colspan="1" valign="top" align="left">70</td><td colspan="1" valign="top" align="left">35</td></tr><tr><td valign="top" align="left" colspan="1">OPA-10</td><td valign="top" align="left" colspan="1">GTG ATC GCA G</td><td valign="top" align="left" colspan="1">60</td><td valign="top" align="left" colspan="1">31</td></tr><tr><td valign="top" align="left" colspan="1">OPA-11</td><td align="left" colspan="1" valign="top">CAA TCG CCG T</td><td valign="top" align="left" colspan="1">60</td><td align="left" colspan="1" valign="top">34</td></tr><tr><td colspan="1" valign="top" align="left">OPA-12</td><td align="left" colspan="1" valign="top">TCG GCG ATA G</td><td valign="top" align="left" colspan="1">60</td><td colspan="1" valign="top" align="left">32</td></tr><tr><td align="left" colspan="1" valign="top">OPA-13</td><td colspan="1" valign="top" align="left">CAG CAC CCA C</td><td align="left" colspan="1" valign="top">70</td><td valign="top" align="left" colspan="1">35</td></tr><tr><td colspan="1" valign="top" align="left">OPA-14</td><td valign="top" align="left" colspan="1">TCT GTG CTG G</td><td valign="top" align="left" colspan="1">60</td><td valign="top" align="left" colspan="1">32</td></tr><tr><td valign="top" align="left" colspan="1">OPA-15</td><td align="left" colspan="1" valign="top">TTC CGA ACC C</td><td valign="top" align="left" colspan="1">60</td><td colspan="1" valign="top" align="left">32</td></tr><tr><td valign="top" align="left" colspan="1">OPA-16</td><td align="left" colspan="1" valign="top">AGC CAG CGA A</td><td valign="top" align="left" colspan="1">60</td><td align="left" colspan="1" valign="top">36</td></tr><tr><td align="left" colspan="1" valign="top">OPA-17</td><td valign="top" align="left" colspan="1">GAC CGC TTG T</td><td valign="top" align="left" colspan="1">60</td><td valign="top" align="left" colspan="1">33</td></tr><tr><td valign="top" align="left" colspan="1">OPA-18</td><td align="left" colspan="1" valign="top">AGG TGA CCG T</td><td align="left" colspan="1" valign="top">60</td><td align="left" colspan="1" valign="top">34</td></tr><tr><td valign="top" align="left" colspan="1">OPA-19</td><td valign="top" align="left" colspan="1">CAA ACG TCG G</td><td colspan="1" valign="top" align="left">60</td><td align="left" colspan="1" valign="top">32</td></tr><tr><td align="left" colspan="1" valign="top">OPA-20</td><td valign="top" align="left" colspan="1">GTT GCG ATC C</td><td colspan="1" valign="top" align="left">60</td><td valign="top" align="left" colspan="1">34</td></tr></tbody></table></table-wrap><sec><title>5. Data analysis</title><p>The effectiveness of EMS in inducing mutations in porang was evaluated based on polymorphism, genetic diversity, clustering, and genetic distance analyses. The presence or absence of amplified DNA fragments was assessed using a binary scoring system, where each DNA band detected on the agarose gel for each primer was assigned a score of “1”, while undetected bands were assigned a score of “0”.</p><p>Genetic diversity analysis was conducted using POPGENE. Genetic diversity within the population was assessed using the following parameters: number of alleles (Na), number of effective alleles per locus (Ne), allele frequency (Pᵢ), polymorphic loci (PPL), expected heterozygosity (He), and the Shannon index (I). The Ne value was calculated using the following formula (Crow &amp; Kimura, 1970; <xref ref-type="bibr" rid="BIBR-1">(Allendorf et al., 2024)</xref>):</p><p><inline-formula><tex-math id="math-1"><![CDATA[ \documentclass{article} \usepackage{amsmath} \begin{document} \displaystyle Ne = \frac{1}{(1-h)} = \frac{1}{\sum_{}^{} p_i^2} \end{document} ]]></tex-math></inline-formula></p><p>where Pᵢ denotes the frequency of allele i at a locus, and h = 1 − Σpᵢ² represents heterozygosity at that locus.</p><p>The allele frequency (Pᵢ) was calculated using the following formula <xref ref-type="bibr" rid="BIBR-10">(Kanaka et al., 2023)</xref>:</p><p><inline-formula><tex-math id="math-2"><![CDATA[ \documentclass{article} \usepackage{amsmath} \begin{document} \displaystyle pi = \frac{\text{ni}}{N} \end{document} ]]></tex-math></inline-formula></p><p>where nᵢ represents the number of individuals carrying allele i, and N denotes the total number of individuals.</p><p>The percentage of polymorphic loci was calculated using the following formula <xref ref-type="bibr" rid="BIBR-10">(Kanaka et al., 2023)</xref>:</p><p><inline-formula><tex-math id="math-3"><![CDATA[ \documentclass{article} \usepackage{amsmath} \begin{document} \displaystyle PPL = \frac{\text{number\ of\ polymorphic\ loci}}{\text{total\ locus\ }} \times 100\% \end{document} ]]></tex-math></inline-formula></p><p>Expected heterozygosity (He) refers to the level of heterozygosity predicted based on allele frequency. The expected heterozygosity (He) value was calculated using the following formula (Crow &amp; Kimura, 1970; <xref ref-type="bibr" rid="BIBR-1">(Allendorf et al., 2024)</xref>):</p><p><inline-formula><tex-math id="math-4"><![CDATA[ \documentclass{article} \usepackage{amsmath} \begin{document} \displaystyle He = 1 - \sum_{}^{} p_i^2 \end{document} ]]></tex-math></inline-formula></p><p>The Shannon index is used to measure genetic diversity by considering both the number and relative proportion of alleles. The Shannon index (I) was calculated using the following formula <xref ref-type="bibr" rid="BIBR-10">(Kanaka et al., 2023)</xref>:</p><p><inline-formula><tex-math id="math-5"><![CDATA[ \documentclass{article} \usepackage{amsmath} \begin{document} \displaystyle I = -\sum_{}^{} (p_i \ln p_i) \end{document} ]]></tex-math></inline-formula></p><p>Genetic diversity among populations was analyzed using POPGENE software version 1.32 based on the parameters of total genetic diversity (HT), genetic differentiation among populations (GST), gene flow (Nm), and genetic distance.</p><p>Cluster analysis was conducted using the Unweighted Pair Group Method with Arithmetic Mean (UPGMA) algorithm and the Jaccard similarity index in PAST software version 4.03. Marker efficiency was evaluated using the parameters Polymorphism Information Content (PIC), Effective Multiplex Ratio (EMR), and Marker Index (MI).</p><p>Each primer was analyzed to determine the PIC value, which was calculated using the following formula <xref ref-type="bibr" rid="BIBR-28">(Wu et al., 2021)</xref>:</p><p><inline-formula><tex-math id="math-6"><![CDATA[ \documentclass{article} \usepackage{amsmath} \begin{document} \displaystyle PIC = 2(f)(1−f) \end{document} ]]></tex-math></inline-formula></p><p>where PIC represents polymorphism information content, f is the frequency of observed band fragments, and (1 − f) is the frequency of band fragments that are not observed.</p><p>EMR (Effective Multiplex Ratio) is used to determine the effective ratio between the total number of amplified bands and the number of polymorphic bands. The EMR value was calculated using the following formula <xref ref-type="bibr" rid="BIBR-18">(Sharma et al., 2022)</xref>:</p><p><inline-formula><tex-math id="math-7"><![CDATA[ \documentclass{article} \usepackage{amsmath} \begin{document} \displaystyle EMR = β \end{document} ]]></tex-math></inline-formula></p><p>where β represents the total number of bands per primer, and the β value corresponds to the number of polymorphic bands.</p><p>Marker Index (MI) was calculated using the following formula <xref ref-type="bibr" rid="BIBR-18">(Sharma et al., 2022)</xref>:</p><p><inline-formula><tex-math id="math-8"><![CDATA[ \documentclass{article} \usepackage{amsmath} \begin{document} \displaystyle MI= PIC× EMR \end{document} ]]></tex-math></inline-formula></p><p>Marker Index (MI) is a parameter used to evaluate the effectiveness of a primer in detecting genetic polymorphism.</p></sec></sec></sec><sec><title>Results and discussion</title><sec><title>1. Genetic Diversity of Porang After Mutation Induction with EMS</title><p>Induction of mutations using EMS has been proven to increase the genetic diversity of porang. The increased genetic diversity is indicated by the rise in the number of alleles (Na) and the number of effective alleles (Ne) in the treatment group compared to the control group (<xref ref-type="table" rid="table-2">Table 2</xref>). The value of Na increased from 1.2381 to 1.8571. Similarly, the number of effective alleles (Ne) also increased from 1.2019 to 1.5893.</p><table-wrap id="table-2" ignoredToc=""><label>Table 2</label><caption><p>Genetic diversity in porang populations after EMS induction</p></caption><table rules="all" frame="box"><thead><tr><th colspan="1" valign="top" align="left"></th><th valign="top" align="left" colspan="1"><bold>Control</bold></th><th align="left" colspan="1" valign="top"><bold>Treatment</bold></th></tr></thead><tbody><tr><td align="left" colspan="1" valign="top">P (%)</td><td align="left" colspan="1" valign="top">23.81</td><td align="left" colspan="1" valign="top">85.71</td></tr><tr><td align="left" colspan="1" valign="top">Na</td><td valign="top" align="left" colspan="1">1.2381 ± 0.4364</td><td valign="top" align="left" colspan="1">1.8571± 0.3586</td></tr><tr><td valign="top" align="left" colspan="1">Ne</td><td valign="top" align="left" colspan="1">1.2019 ± 0.3848</td><td valign="top" align="left" colspan="1">1.5893 ± 0.4025</td></tr><tr><td valign="top" align="left" colspan="1">H</td><td valign="top" align="left" colspan="1">0.1072 ± 0.2001</td><td align="left" colspan="1" valign="top">0.3242± 0.1951</td></tr><tr><td valign="top" align="left" colspan="1">I</td><td align="left" colspan="1" valign="top">0.1524 ± 0.2824</td><td align="left" colspan="1" valign="top">0.4739 ± 0.2603</td></tr></tbody></table><table-wrap-foot><p>Note: P (%) = percentage of polymorphic bands; N = number of samples; Na = number of alleles; Ne = effective number of alleles; H = genetic diversity index; I = Shannon’s index.</p></table-wrap-foot></table-wrap><p>The heterozygosity value (h) also increased from 0.1072 to 0.3242. According to Nei’s classification (1973), the heterozygosity value in the control sample was categorized very low (h &lt; 0.30), reflecting a relatively homozygous population condition. The heterozygosity value after mutation induction using EMS remains in the low category (0.3242), however it indicates an increase in genetic diversity. The Shannon index (I) value also increased from 0.1524 to 0.4739. According to the Shannon and Weaver (1997) classification, the Shannon index value in the control sample falls into the low category (&lt; 1.00), indicating the dominance of certain alleles and a very limited level of genetic diversity. The Shannon index value after EMS-induced mutation increased, although it is still classified as low (0.4739), demonstrating an increase in allelic diversity.</p><p>Overall, genetic diversity among populations also increased. he analysis of genetic diversity showed that the total genetic diversity (Ht) was 0.2589 ± 0.0267, while the average heterozygosity within populations (Hs) reached 0.2157 ± 0.0217 (<xref ref-type="table" rid="table-3">Table 3</xref>). The relatively small difference between Ht and Hs indicates that most of the genetic diversity is maintained within populations. Approximately 83.03% of the total genetic diversity is distributed within populations, whereas only 16.97% occurs among populations.</p><table-wrap id="table-3" ignoredToc=""><label>Table 3</label><caption><p>The Effect of EMS Induction on Genetic Diversity between Porang Populations</p></caption><table frame="box" rules="all"><thead><tr><th align="left" colspan="1" valign="top"><bold>Parameters</bold></th><th align="left" colspan="1" valign="top"><bold>Value</bold></th></tr></thead><tbody><tr><td align="left" colspan="1" valign="top">Ht</td><td valign="top" align="left" colspan="1">0.2598 ± 0.0267</td></tr><tr><td valign="top" align="left" colspan="1">Hs</td><td align="left" colspan="1" valign="top">0.2157 ± 0.0217</td></tr><tr><td valign="top" align="left" colspan="1">Gst</td><td valign="top" align="left" colspan="1">0.1669</td></tr><tr><td valign="top" align="left" colspan="1">Nm</td><td valign="top" align="left" colspan="1">2.4964</td></tr></tbody></table><table-wrap-foot><p>Note: Ht = total genetic diversity; Hs = within-population heterozygosity; Gst = coefficient of genetic differentiation among populations; Nm = gene flow.</p></table-wrap-foot></table-wrap><p>An increase in genetic diversity was also reflected by the coefficient of genetic differentiation among populations (Gst), which was 0.1669, indicating that 16.69% of the variation occurs among populations, while the remaining 83.31% is found within populations. The relatively high Gst value indicates substantial genetic differentiation among populations. The gene flow value (Nm) was 2.4964, indicating a relatively high level of gene flow among populations.</p><p>Ethyl methanesulfonate (EMS) is an effective mutagen that induces point mutations by altering DNA bases from G/C to A/T (<xref ref-type="bibr" rid="BIBR-20">(Sikora et al., 2011)</xref>; <xref ref-type="bibr" rid="BIBR-16">(Savitri &amp; Fauziah, 2018)</xref>). Therefore, it can cause complementary base mispairing and increase the frequency of gene mutations, thereby enhancing genetic diversity <xref ref-type="bibr" rid="BIBR-21">(Sonsan et al., 2023)</xref>. A similar phenomenon was reported by <xref ref-type="bibr" rid="BIBR-26">(Wahyudi et al., 2020)</xref>, where EMS was able to increase the genetic diversity of <italic>Glycine max</italic> (L.) Merr., as detected using RAPD molecular markers. In addition, EMS has been widely used as an agent for inducing genetic variability in several other plant species, such as <italic>Capsicum frutescens</italic> L. <xref ref-type="bibr" rid="BIBR-6">(Dwinianti et al., 2019)</xref>, <italic>Neolamarckia cadamba</italic> (Roxb.) Bosser, and <italic>Leucaena leucocephala</italic> (Lam.) de Wit <xref ref-type="bibr" rid="BIBR-30">(ZakyZayed et al., 2014)</xref>. Overall, these findings highlight the potential of EMS as an effective mutagenic agent for enhancing genetic diversity.</p></sec><sec><title>2. Clustering analysis of porang after EMS mutation induction</title><p>Cluster analysis of porang after EMS mutation induction indicates that EMS treatment can increase the genetic diversity of porang. The clustering analysis generated six clusters (<xref ref-type="fig" rid="figure-1">Figure 1</xref>), with treatments E1 (0.4%) as well as B2 and B1 (0.1%) forming clusters I, II, and III, which were separated from other concentration groups with a similarity value of approximately 0.56, indicating that EMS induction effectively increased the genetic diversity of porang. A similar pattern was observed in the 0.2% EMS treatment (C1 and C2), which was separated from the other clusters into clusters IV and VI with a similarity value of approximately 0.60–0.67, indicating a high level of genetic diversity. However, several treatments at 0.3% (D1, D2, and D3), 0.4% (E2), and 0.5% (F1 and F2) were grouped in the same cluster as the control with a similarity value of approximately 0.77, indicating a high level of genetic similarity.</p><p>The similarity values between the control group (A1–A3) and the 0.1% EMS treatment group (B1–B2) ranged from 0.31 to 0.63, indicating very high genetic diversity in porang. Meanwhile, the EMS 0.2% treatment group (C1–C2) showed higher similarity values, ranging from 0.50 to 0.69. At an EMS concentration of 0.3% (D1–D3), the similarity values further increased, ranging from 0.63 to 0.82. This Jaccard similarity pattern indicates that an increase in EMS concentration is inversely proportional to the level of induced genetic change. In the 0.4% EMS treatment group (E1–E2), the similarity values varied widely, ranging from 0.33 to 0.86. The similarity values increased again in the 0.5% EMS treatment group (F1–F2), indicating a high level of genetic similarity compared to other treatment groups, with values ranging from 0.73 to 0.91. Overall, similarity values tended to increase with increasing EMS concentration. This pattern may be attributed to the use of RAPD markers, which employ random primers; therefore, amplification can occur at multiple genomic locations simultaneously and is dominant, resulting in polymorphic DNA band patterns that may be inconsistent <xref ref-type="bibr" rid="BIBR-13">(Probojati et al., 2019)</xref>. However, the 0.2% EMS treatment group (C1 and C2) was considered the most optimal treatment, as it showed clear cluster separation from the control group without inducing excessively extreme genetic changes.</p><fig id="figure-1" ignoredToc=""><label>Figure 1</label><caption><p>Cluster analysis of porang plants after EMS mutation induction</p></caption><graphic mime-subtype="png" mimetype="image" xlink:href="https://journals2.ums.ac.id/bioeksperimen/article/download/15768/5375/67783"><alt-text>Image</alt-text></graphic></fig><table-wrap id="table-4" ignoredToc=""><label>Table 4</label><caption><p>Jaccard similarity coefficient between normal and mutated porang</p></caption><table frame="box" rules="all"><thead><tr><th align="left" colspan="1" valign="top"></th><th colspan="1" valign="top" align="left">A1</th><th valign="top" align="left" colspan="1">A2</th><th valign="top" align="left" colspan="1">A3</th><th align="left" colspan="1" valign="top">B1</th><th valign="top" align="left" colspan="1">B2</th><th valign="top" align="left" colspan="1">C1</th><th valign="top" align="left" colspan="1">C2</th><th align="left" colspan="1" valign="top">D1</th><th align="left" colspan="1" valign="top">D2</th><th valign="top" align="left" colspan="1">D3</th><th valign="top" align="left" colspan="1">E1</th><th valign="top" align="left" colspan="1">E2</th><th colspan="1" valign="top" align="left">F1</th><th valign="top" align="left" colspan="1">F2</th></tr></thead><tbody><tr><td valign="top" align="left" colspan="1">A1</td><td valign="top" align="left" colspan="1">1.00</td><td valign="top" align="left" colspan="1"></td><td valign="top" align="left" colspan="1"></td><td valign="top" align="left" colspan="1"></td><td valign="top" align="left" colspan="1"></td><td valign="top" align="left" colspan="1"></td><td valign="top" align="left" colspan="1"></td><td colspan="1" valign="top" align="left"></td><td align="left" colspan="1" valign="top"></td><td valign="top" align="left" colspan="1"></td><td align="left" colspan="1" valign="top"></td><td valign="top" align="left" colspan="1"></td><td valign="top" align="left" colspan="1"></td><td valign="top" align="left" colspan="1"></td></tr><tr><td valign="top" align="left" colspan="1">A2</td><td colspan="1" valign="top" align="left">0.71</td><td align="left" colspan="1" valign="top">1.00</td><td colspan="1" valign="top" align="left"></td><td valign="top" align="left" colspan="1"></td><td align="left" colspan="1" valign="top"></td><td align="left" colspan="1" valign="top"></td><td align="left" colspan="1" valign="top"></td><td valign="top" align="left" colspan="1"></td><td valign="top" align="left" colspan="1"></td><td valign="top" align="left" colspan="1"></td><td align="left" colspan="1" valign="top"></td><td align="left" colspan="1" valign="top"></td><td align="left" colspan="1" valign="top"></td><td valign="top" align="left" colspan="1"></td></tr><tr><td valign="top" align="left" colspan="1">A3</td><td colspan="1" valign="top" align="left">0.67</td><td valign="top" align="left" colspan="1">0.93</td><td align="left" colspan="1" valign="top">1.00</td><td valign="top" align="left" colspan="1"></td><td align="left" colspan="1" valign="top"></td><td valign="top" align="left" colspan="1"></td><td valign="top" align="left" colspan="1"></td><td valign="top" align="left" colspan="1"></td><td valign="top" align="left" colspan="1"></td><td align="left" colspan="1" valign="top"></td><td align="left" colspan="1" valign="top"></td><td align="left" colspan="1" valign="top"></td><td valign="top" align="left" colspan="1"></td><td valign="top" align="left" colspan="1"></td></tr><tr><td valign="top" align="left" colspan="1">B1</td><td valign="top" align="left" colspan="1">0.31</td><td valign="top" align="left" colspan="1">0.56</td><td align="left" colspan="1" valign="top">0.63</td><td align="left" colspan="1" valign="top">1.00</td><td colspan="1" valign="top" align="left"></td><td valign="top" align="left" colspan="1"></td><td colspan="1" valign="top" align="left"></td><td valign="top" align="left" colspan="1"></td><td colspan="1" valign="top" align="left"></td><td align="left" colspan="1" valign="top"></td><td valign="top" align="left" colspan="1"></td><td align="left" colspan="1" valign="top"></td><td colspan="1" valign="top" align="left"></td><td colspan="1" valign="top" align="left"></td></tr><tr><td valign="top" align="left" colspan="1">B2</td><td valign="top" align="left" colspan="1">0.33</td><td valign="top" align="left" colspan="1">0.47</td><td align="left" colspan="1" valign="top">0.53</td><td valign="top" align="left" colspan="1">0.56</td><td valign="top" align="left" colspan="1">1.00</td><td valign="top" align="left" colspan="1"></td><td valign="top" align="left" colspan="1"></td><td valign="top" align="left" colspan="1"></td><td valign="top" align="left" colspan="1"></td><td colspan="1" valign="top" align="left"></td><td align="left" colspan="1" valign="top"></td><td valign="top" align="left" colspan="1"></td><td valign="top" align="left" colspan="1"></td><td valign="top" align="left" colspan="1"></td></tr><tr><td align="left" colspan="1" valign="top">C1</td><td valign="top" align="left" colspan="1">0.63</td><td valign="top" align="left" colspan="1">0.58</td><td align="left" colspan="1" valign="top">0.63</td><td align="left" colspan="1" valign="top">0.42</td><td align="left" colspan="1" valign="top">0.58</td><td align="left" colspan="1" valign="top">1.00</td><td valign="top" align="left" colspan="1"></td><td align="left" colspan="1" valign="top"></td><td colspan="1" valign="top" align="left"></td><td align="left" colspan="1" valign="top"></td><td valign="top" align="left" colspan="1"></td><td valign="top" align="left" colspan="1"></td><td valign="top" align="left" colspan="1"></td><td align="left" colspan="1" valign="top"></td></tr><tr><td valign="top" align="left" colspan="1">C2</td><td valign="top" align="left" colspan="1">0.69</td><td colspan="1" valign="top" align="left">0.53</td><td align="left" colspan="1" valign="top">0.50</td><td align="left" colspan="1" valign="top">0.21</td><td valign="top" align="left" colspan="1">0.44</td><td align="left" colspan="1" valign="top">0.65</td><td valign="top" align="left" colspan="1">1.00</td><td valign="top" align="left" colspan="1"></td><td align="left" colspan="1" valign="top"></td><td valign="top" align="left" colspan="1"></td><td colspan="1" valign="top" align="left"></td><td align="left" colspan="1" valign="top"></td><td valign="top" align="left" colspan="1"></td><td align="left" colspan="1" valign="top"></td></tr><tr><td valign="top" align="left" colspan="1">D1</td><td valign="top" align="left" colspan="1">0.77</td><td valign="top" align="left" colspan="1">0.80</td><td valign="top" align="left" colspan="1">0.75</td><td valign="top" align="left" colspan="1">0.41</td><td valign="top" align="left" colspan="1">0.50</td><td valign="top" align="left" colspan="1">0.71</td><td valign="top" align="left" colspan="1">0.67</td><td colspan="1" valign="top" align="left">1.00</td><td valign="top" align="left" colspan="1"></td><td align="left" colspan="1" valign="top"></td><td valign="top" align="left" colspan="1"></td><td valign="top" align="left" colspan="1"></td><td align="left" colspan="1" valign="top"></td><td valign="top" align="left" colspan="1"></td></tr><tr><td align="left" colspan="1" valign="top">D2</td><td colspan="1" valign="top" align="left">0.71</td><td valign="top" align="left" colspan="1">0.75</td><td valign="top" align="left" colspan="1">0.71</td><td align="left" colspan="1" valign="top">0.47</td><td valign="top" align="left" colspan="1">0.56</td><td valign="top" align="left" colspan="1">0.76</td><td valign="top" align="left" colspan="1">0.63</td><td valign="top" align="left" colspan="1">0.93</td><td valign="top" align="left" colspan="1">1.00</td><td align="left" colspan="1" valign="top"></td><td align="left" colspan="1" valign="top"></td><td valign="top" align="left" colspan="1"></td><td valign="top" align="left" colspan="1"></td><td valign="top" align="left" colspan="1"></td></tr><tr><td align="left" colspan="1" valign="top">D3</td><td align="left" colspan="1" valign="top">0.63</td><td valign="top" align="left" colspan="1">0.76</td><td colspan="1" valign="top" align="left">0.82</td><td align="left" colspan="1" valign="top">0.59</td><td align="left" colspan="1" valign="top">0.67</td><td align="left" colspan="1" valign="top">0.78</td><td colspan="1" valign="top" align="left">0.56</td><td valign="top" align="left" colspan="1">0.81</td><td valign="top" align="left" colspan="1">0.88</td><td valign="top" align="left" colspan="1">1.00</td><td valign="top" align="left" colspan="1"></td><td align="left" colspan="1" valign="top"></td><td align="left" colspan="1" valign="top"></td><td valign="top" align="left" colspan="1"></td></tr><tr><td colspan="1" valign="top" align="left">E1</td><td valign="top" align="left" colspan="1">0.33</td><td valign="top" align="left" colspan="1">0.47</td><td align="left" colspan="1" valign="top">0.53</td><td valign="top" align="left" colspan="1">0.56</td><td valign="top" align="left" colspan="1">0.56</td><td valign="top" align="left" colspan="1">0.58</td><td align="left" colspan="1" valign="top">0.30</td><td valign="top" align="left" colspan="1">0.50</td><td align="left" colspan="1" valign="top">0.56</td><td valign="top" align="left" colspan="1">0.67</td><td valign="top" align="left" colspan="1">1.00</td><td align="left" colspan="1" valign="top"></td><td valign="top" align="left" colspan="1"></td><td colspan="1" valign="top" align="left"></td></tr><tr><td align="left" colspan="1" valign="top">E2</td><td align="left" colspan="1" valign="top">0.83</td><td valign="top" align="left" colspan="1">0.86</td><td valign="top" align="left" colspan="1">0.80</td><td align="left" colspan="1" valign="top">0.44</td><td valign="top" align="left" colspan="1">0.44</td><td align="left" colspan="1" valign="top">0.65</td><td valign="top" align="left" colspan="1">0.60</td><td valign="top" align="left" colspan="1">0.92</td><td align="left" colspan="1" valign="top">0.86</td><td valign="top" align="left" colspan="1">0.75</td><td valign="top" align="left" colspan="1">0.44</td><td align="left" colspan="1" valign="top">1.00</td><td align="left" colspan="1" valign="top"></td><td valign="top" align="left" colspan="1"></td></tr><tr><td valign="top" align="left" colspan="1">F1</td><td align="left" colspan="1" valign="top">0.91</td><td align="left" colspan="1" valign="top">0.79</td><td valign="top" align="left" colspan="1">0.73</td><td align="left" colspan="1" valign="top">0.38</td><td valign="top" align="left" colspan="1">0.39</td><td colspan="1" valign="top" align="left">0.69</td><td align="left" colspan="1" valign="top">0.64</td><td align="left" colspan="1" valign="top">0.85</td><td valign="top" align="left" colspan="1">0.79</td><td align="left" colspan="1" valign="top">0.69</td><td valign="top" align="left" colspan="1">0.39</td><td valign="top" align="left" colspan="1">0.92</td><td valign="top" align="left" colspan="1">1.00</td><td valign="top" align="left" colspan="1"></td></tr><tr><td valign="top" align="left" colspan="1">F2</td><td align="left" colspan="1" valign="top">0.83</td><td align="left" colspan="1" valign="top">0.73</td><td valign="top" align="left" colspan="1">0.80</td><td valign="top" align="left" colspan="1">0.44</td><td valign="top" align="left" colspan="1">0.44</td><td valign="top" align="left" colspan="1">0.65</td><td valign="top" align="left" colspan="1">0.60</td><td colspan="1" valign="top" align="left">0.79</td><td valign="top" align="left" colspan="1">0.73</td><td valign="top" align="left" colspan="1">0.75</td><td align="left" colspan="1" valign="top">0.44</td><td colspan="1" valign="top" align="left">0.85</td><td valign="top" align="left" colspan="1">0.77</td><td valign="top" align="left" colspan="1">1.00</td></tr></tbody></table><table-wrap-foot><p>Note: A1: Control (A1-A3) EMS 0.1% (B1-B2), EMS 0.2%(C1-C2), EMS 0.3% (D1-D3): EMS 0.4% (E1-E2), EMS 0.5% (F1-F2).</p></table-wrap-foot></table-wrap></sec><sec><title>3. Evaluation of RAPD Marker Efficiency</title><p>Six of the 20 primers were found to successfully amplify polymorphic DNA bands (<xref ref-type="table" rid="table-5">Table 5</xref>). OPA-2, OPA-9, OPA-11, and OPA-13 produced the highest number of DNA bands (four bands each), while OPA-3 produced the lowest number of DNA bands (two bands). The total number of bands consisted of 17 polymorphic bands (80.95%) and 4 monomorphic bands (19.05%). Analysis of several primers indicated that primer effectiveness in detecting mutations is not determined only by the number of bands produced, but also by its ability to show differences in DNA band patterns between control and treatment samples. OPA-11 showed a high total number of bands, a high level of polymorphism, and high informative parameter values, including PIC, EMR, and MI (<xref rid="table-5" ref-type="table">Table 5</xref> and <xref ref-type="fig" rid="figure-2">Figure 2</xref>C). However, the DNA band patterns produced by OPA-11 could not clearly distinguish between control and treatment samples, unlike those produced by OPA-2 and OPA-9 (Figures 2A and 2B).</p><p>OPA-9 and OPA-2 produced clearer and more consistent DNA band patterns. These primers showed differences in band profiles, where the DNA band at the 2000 bp locus was absent in all control samples and in several treatment samples (B1, E2, F1, and F2). Meanwhile, other treatment samples (B2, C1, C2, D1, D2, D3, and E1) showed diversitys in DNA band patterns (<xref ref-type="fig" rid="figure-2">Figure 2</xref>B). A similar trend was also observed with the OPA-2, in which the DNA band at the 1000 bp locus was not amplified in all control samples (A1–A3) and several treatment samples (C2, D1, E2, F1, and F2), but appeared in other treatment samples (B1, B2, C1, D2, D3, and E1). The appearance or loss of DNA bands following EMS mutation induction is thought to result from random point mutations in nucleotide sequences, leading to changes in amplification patterns and generating diversity in DNA bands detected by the marker <xref ref-type="bibr" rid="BIBR-17">(Shah et al., 2016)</xref>. In addition, EMS induction may influence primer annealing efficiency, resulting in the disappearance of existing bands or the emergence of new bands due to altered amplification patterns <xref ref-type="bibr" rid="BIBR-12">(Poerba et al., 2009)</xref><xref ref-type="bibr" rid="BIBR-22">(Suteja et al., 2019)</xref>. Therefore, primers OPA-2 and OPA-9 are recommended as potential biomarkers for evaluating the success of EMS mutation induction in porang.</p><table-wrap id="table-5" ignoredToc=""><label>Table 5</label><caption><p>Polymorphism analysis of RAPD molecular markers</p></caption><table frame="box" rules="all"><thead><tr><th align="left" colspan="1" valign="top"><bold>No</bold></th><th valign="top" align="left" colspan="1"><bold>Primer</bold></th><th align="left" colspan="1" valign="top"><bold>TNB</bold></th><th align="left" colspan="1" valign="top"><bold>NPB</bold></th><th valign="top" align="left" colspan="1"><bold>PB (%)</bold></th><th align="left" colspan="1" valign="top"><bold>PIC</bold></th><th align="left" colspan="1" valign="top"><bold>EMR</bold></th><th colspan="1" valign="top" align="left"><bold>MI</bold></th></tr></thead><tbody><tr><td valign="top" align="left" colspan="1">1</td><td align="left" colspan="1" valign="top">OPA-2</td><td align="left" colspan="1" valign="top">4</td><td valign="top" align="left" colspan="1">3</td><td align="left" colspan="1" valign="top">75</td><td align="left" colspan="1" valign="top">0.31</td><td align="left" colspan="1" valign="top">2.25</td><td align="left" colspan="1" valign="top">0.71</td></tr><tr><td colspan="1" valign="top" align="left">2</td><td valign="top" align="left" colspan="1">OPA-3</td><td align="left" colspan="1" valign="top">2</td><td valign="top" align="left" colspan="1">2</td><td valign="top" align="left" colspan="1">100</td><td valign="top" align="left" colspan="1">0.29</td><td align="left" colspan="1" valign="top">2.00</td><td valign="top" align="left" colspan="1">0.58</td></tr><tr><td valign="top" align="left" colspan="1">3</td><td valign="top" align="left" colspan="1">OPA-9</td><td align="left" colspan="1" valign="top">4</td><td valign="top" align="left" colspan="1">4</td><td valign="top" align="left" colspan="1">100</td><td align="left" colspan="1" valign="top">0.33</td><td valign="top" align="left" colspan="1">4.00</td><td align="left" colspan="1" valign="top">1.33</td></tr><tr><td align="left" colspan="1" valign="top">4</td><td valign="top" align="left" colspan="1">OPA-11</td><td align="left" colspan="1" valign="top">4</td><td valign="top" align="left" colspan="1">4</td><td colspan="1" valign="top" align="left">100</td><td valign="top" align="left" colspan="1">0.43</td><td valign="top" align="left" colspan="1">4.00</td><td valign="top" align="left" colspan="1">1.73</td></tr><tr><td valign="top" align="left" colspan="1">5</td><td align="left" colspan="1" valign="top">OPA-13</td><td valign="top" align="left" colspan="1">4</td><td align="left" colspan="1" valign="top">4</td><td valign="top" align="left" colspan="1">100</td><td valign="top" align="left" colspan="1">0.27</td><td align="left" colspan="1" valign="top">4.00</td><td valign="top" align="left" colspan="1">1.07</td></tr><tr><td valign="top" align="left" colspan="1">6</td><td align="left" colspan="1" valign="top">OPA-16</td><td colspan="1" valign="top" align="left">3</td><td align="left" colspan="1" valign="top">0</td><td align="left" colspan="1" valign="top">0.0</td><td valign="top" align="left" colspan="1">0.00</td><td valign="top" align="left" colspan="1">0.00</td><td align="left" colspan="1" valign="top">0.00</td></tr><tr><td valign="top" align="left" colspan="1"></td><td valign="top" align="left" colspan="1">Total</td><td align="left" colspan="1" valign="top">21</td><td valign="top" align="left" colspan="1">17</td><td valign="top" align="left" colspan="1">475.00</td><td valign="top" align="left" colspan="1">1.64</td><td valign="top" align="left" colspan="1">16.25</td><td valign="top" align="left" colspan="1">5.42</td></tr><tr><td align="left" colspan="1" valign="top"></td><td align="left" colspan="1" valign="top">Mean</td><td valign="top" align="left" colspan="1">3.50</td><td align="left" colspan="1" valign="top">2.83</td><td align="left" colspan="1" valign="top">79.17</td><td valign="top" align="left" colspan="1">0.27</td><td align="left" colspan="1" valign="top">2.71</td><td align="left" colspan="1" valign="top">0.90</td></tr></tbody></table><table-wrap-foot><p>Note: total number of bands (TNB), number of polymorphic bands (NPB), polymorphic band percentage (PB%), polymorphic information content (PIC), effective multiplex ratio (EMR), marker index (MI).</p></table-wrap-foot></table-wrap><fig id="figure-2" ignoredToc=""><label>Figure 2</label><caption><p>Polymorphic bands after mutation induction using EMS. (A) OPA-2 (B) OPA-9 (C) OPA-11. Arrows indicate polymorphic bands where bands appear in some loci but do not appear in others. A1: Control (A1-A3) EMS 0.1% (B1-B2), EMS 0.2%(C1-C2), EMS 0.3% (D1-D3): EMS 0.4% (E1-E2), EMS 0.5% (F1-F2)</p></caption><graphic mime-subtype="png" mimetype="image" xlink:href="https://journals2.ums.ac.id/bioeksperimen/article/download/15768/5375/67784"><alt-text>Image</alt-text></graphic></fig><p>Mutation induction using EMS in porang results in the formation of new alleles and alterations in DNA banding patterns, reflecting an increase in genetic diversity at the molecular level. This result is consistent with the findings of <xref ref-type="bibr" rid="BIBR-26">(Wahyudi et al., 2020)</xref> in soybean, which reported that EMS effectively increase genetic diversity as detected by RAPD molecular markers. Diversitys in DNA banding patterns observed in mutant plants indicate that random point mutations induced by EMS can affect genome structure through changes in nucleotide sequences, leading to the loss or emergence of specific alleles. At the molecular level, EMS is known to induce G/C to A/T base substitutions, causing errors in complementary base pairing and increasing the frequency of gene mutations (<xref ref-type="bibr" rid="BIBR-20">(Sikora et al., 2011)</xref>; <xref ref-type="bibr" rid="BIBR-16">(Savitri &amp; Fauziah, 2018)</xref>), thereby confirming the potential of EMS as an effective mutagen.</p></sec></sec><sec><title>Conclusion</title><p>Mutagenesis using EMS has been shown to effectively increase genetic diversity in porang, as indicated by a 61.9% increase in genetic diversity in EMS-treated porang compared with the control. Primers OPA-2 and OPA-9 are recommended as potential biomarkers for detecting the success of EMS-induced mutagenesis in porang. The 0.2% EMS treatment was identified as the optimal concentration because it produced clear cluster separation from the control group without causing extreme genetic changes, thus showing strong potential as a germplasm source for porang breeding programs.</p></sec><sec><title>Author Statements</title><p><bold>Acknowledgements and funding statements: </bold>We gratefully acknowledge the facilities and funding support provided by Griya Sains and thank all members of the Plant Tissue Culture Laboratory for their valuable assistance and contributions to this research.</p><p><bold>Competing of interest:</bold> The authors declare no competing interests.</p><p><bold>Author’s contributions:</bold> Rendha Maulana Haritzah: conceptualization, analysis, writing of the manuscript. Novia Fitri Radita: methodology, analysis, writing of the manuscript. Isma Salsabila Ramadanti: analysis, writing of the manuscript. Yusri Despa Azzahro: writing of the manuscript, Didik Wahyudi: conceptualization, methodology, approved the final version, Ruri Siti Resmisari: approved the final version, Suyono: approved the final version.</p><p><bold>Generative AI: </bold>The authors affirm that only OpenAI was used in the preparation of this manuscript for language refinement and grammar correction. No artificial intelligence tools were used to generate content or interpret data in this manuscript.</p><p><bold>Data availability:</bold> The datasets generated and/or analyzed during the current study are available from the corresponding author upon reasonable request.</p></sec></body><back><ref-list><title>References</title><ref id="BIBR-1"><element-citation publication-type="article-journal"><article-title>What does effective population size tell us about loss of allelic variation?</article-title><source>Evolutionary Applications</source><volume>17</volume><issue>6</issue><person-group person-group-type="author"><name><surname>Allendorf</surname><given-names>F.W.</given-names></name><name><surname>Hössjer</surname><given-names>O.</given-names></name><name><surname>Ryman</surname><given-names>N.</given-names></name></person-group><year>2024</year><pub-id pub-id-type="doi">10.1111/eva.13733</pub-id></element-citation></ref><ref id="BIBR-2"><element-citation publication-type="article-journal"><article-title>Evaluation of physicochemical properties and functional potential of analog rice based on commercial flours of porang tuber and gembili as an alternative carbohydrate food source</article-title><source>AcTion: Aceh Nutrition Journal</source><volume>10</volume><issue>2</issue><person-group person-group-type="author"><name><surname>Azhari</surname><given-names>S.W.</given-names></name><name><surname>Marliyati</surname><given-names>S.A.</given-names></name><name><surname>Hardinsyah</surname><given-names>H.</given-names></name></person-group><year>2025</year><fpage>432</fpage><lpage>441</lpage><page-range>432-441</page-range><pub-id pub-id-type="doi">10.30867/action.v10i2.2476</pub-id></element-citation></ref><ref id="BIBR-3"><element-citation publication-type="book"><article-title>An introduction to population genetics theory</article-title><person-group person-group-type="author"><name><surname>Crow</surname><given-names>J.F.</given-names></name></person-group><year>2017</year><publisher-name>Scientific Publishers</publisher-name></element-citation></ref><ref id="BIBR-4"><element-citation publication-type="article-journal"><article-title>Drought stress tolerance mechanisms and breeding effort in sugarcane: A review of progress and constraints in South Africa</article-title><source>Plant Stress</source><volume>2</volume><person-group person-group-type="author"><name><surname>Dlamini</surname><given-names>P.J.</given-names></name></person-group><year>2021</year><fpage>1</fpage><lpage>18</lpage><page-range>1-18</page-range><pub-id pub-id-type="doi">10.1016/j.stress.2021.100027</pub-id></element-citation></ref><ref id="BIBR-5"><element-citation publication-type="article-journal"><article-title>Oryzalin-induced polyploidy in Vanda limbata (Blume): Phenotypic assessment</article-title><source>Acta Biochimica Indonesiana</source><volume>8</volume><issue>1</issue><person-group person-group-type="author"><name><surname>Dwiati</surname><given-names>M.</given-names></name><name><surname>Hasam</surname><given-names>W.N.</given-names></name><name><surname>Susanto</surname><given-names>A.H.</given-names></name></person-group><year>2025</year><fpage>197</fpage><lpage>197</lpage><page-range>197-197</page-range><pub-id pub-id-type="doi">10.32889/actabioina.197</pub-id></element-citation></ref><ref id="BIBR-6"><element-citation publication-type="article-journal"><article-title>Genetic variation analysis of EMS-induced chili pepper (Capsicum frutescens L.) mutants using SSR markers</article-title><source>Journal of Tropical Life Science</source><volume>9</volume><issue>3</issue><person-group person-group-type="author"><name><surname>Dwinianti</surname><given-names>E.F.</given-names></name><name><surname>Mastuti</surname><given-names>R.</given-names></name><name><surname>Arumingtyas</surname><given-names>E.L.</given-names></name></person-group><year>2019</year><fpage>223</fpage><lpage>228</lpage><page-range>223-228</page-range><pub-id pub-id-type="doi">10.11594/jtls.09.03.02</pub-id></element-citation></ref><ref id="BIBR-7"><element-citation publication-type="article-journal"><article-title>Sumber glukomanan dari edible araceae di Jawa Timur</article-title><source>Jurnal Pembangunan dan Alam Lestari</source><volume>6</volume><issue>1</issue><person-group person-group-type="author"><name><surname>Ekowati</surname><given-names>G.</given-names></name><name><surname>Yanuwiadi</surname><given-names>B.</given-names></name><name><surname>Azrianingsih</surname><given-names>R.</given-names></name></person-group><year>2015</year></element-citation></ref><ref id="BIBR-8"><element-citation publication-type="article-journal"><article-title>Peningkatan kadar glukomanan dari umbi iles-iles (Amorphophallus variabilis) pada proses ekstraksi dengan pelarut isopropil alkohol</article-title><source>ChemPro</source><volume>3</volume><issue>1</issue><person-group person-group-type="author"><name><surname>Ibrahim</surname><given-names>M.T.</given-names></name><name><surname>I</surname><given-names>Purwadi</given-names></name><name><surname>B</surname><given-names>Wahyudi</given-names></name></person-group><year>2022</year><fpage>51</fpage><lpage>57</lpage><page-range>51-57</page-range><pub-id pub-id-type="doi">10.33005/chempro.v3i1.151</pub-id></element-citation></ref><ref id="BIBR-9"><element-citation publication-type="article-journal"><article-title>Utilization of porang flour for producing tapioca based gluten-free noodles and characteristics of the product</article-title><source>IOP Conference Series: Earth and Environmental Science</source><volume>1024</volume><issue>1</issue><person-group person-group-type="author"><name><surname>Kamsiati</surname><given-names>E.</given-names></name><name><surname>Widowati</surname><given-names>S.</given-names></name><name><surname>Herawati</surname><given-names>H.</given-names></name></person-group><year>2022</year><fpage>1</fpage><lpage>5</lpage><page-range>1-5</page-range><pub-id pub-id-type="doi">10.1088/1755-1315/1024/1/012024</pub-id></element-citation></ref><ref id="BIBR-10"><element-citation publication-type="article-journal"><article-title>On the concepts and measures of diversity in the genomics era</article-title><source>Current Plant Biology</source><volume>33</volume><person-group person-group-type="author"><name><surname>Kanaka</surname><given-names>K.K.</given-names></name><name><surname>Sukhija</surname><given-names>N.</given-names></name><name><surname>Goli</surname><given-names>R.C.</given-names></name><name><surname>Singh</surname><given-names>S.</given-names></name><name><surname>Ganguly</surname><given-names>I.</given-names></name><name><surname>Dixit</surname><given-names>S.P.</given-names></name><name><surname>Dash</surname><given-names>A.</given-names></name><name><surname>Malik</surname><given-names>A.A.</given-names></name></person-group><year>2023</year><fpage>1</fpage><lpage>13</lpage><page-range>1-13</page-range><pub-id pub-id-type="doi">10.1016/j.cpb.2023.100278</pub-id></element-citation></ref><ref id="BIBR-11"><element-citation publication-type="article-journal"><article-title>Genetic Diversity of Porang (Amorphophallus muelleri Blume) in Malang, East Java based on Morphology and Molecular Markers (ITS2, trnL, and matK): Genetic Diversity of Amorphophallus muelleri Blume in Malang</article-title><source>Journal of Tropical Life Science</source><volume>15</volume><issue>1</issue><person-group person-group-type="author"><name><surname>Marantika</surname><given-names>R.N.</given-names></name><name><surname>Arumingtyas</surname><given-names>E.L.</given-names></name><name><surname>Azrianingsih</surname><given-names>R.</given-names></name></person-group><year>2025</year><fpage>59</fpage><lpage>68</lpage><page-range>59-68</page-range><pub-id pub-id-type="doi">10.11594/jtls.15.01.07</pub-id></element-citation></ref><ref id="BIBR-12"><element-citation publication-type="article-journal"><article-title>Pengaruh mutagen etil metan sulfonat (EMS) terhadap pertumbuhan kultur in vitro iles-iles (Amorphophallus muelleri Blume</article-title><source>Berita Biologi</source><volume>9</volume><issue>4</issue><person-group person-group-type="author"><name><surname>Poerba</surname><given-names>Y.S.</given-names></name><name><surname>Leksonowati</surname><given-names>A.</given-names></name><name><surname>Martanti</surname><given-names>D.</given-names></name></person-group><year>2009</year><fpage>419</fpage><lpage>425</lpage><page-range>419-425</page-range></element-citation></ref><ref id="BIBR-13"><element-citation publication-type="article-journal"><article-title>Clustering analysis and genome inference of pisang raja local cultivars (Musa Spp.) from Java Island by random amplified polymorphic DNA (RAPD) marker</article-title><source>Journal of Tropical Biodiversity and Biotechnology</source><volume>4</volume><issue>2</issue><person-group person-group-type="author"><name><surname>Probojati</surname><given-names>R.T.</given-names></name><name><surname>Wahyudi</surname><given-names>D.</given-names></name><name><surname>Hapsari</surname><given-names>L.</given-names></name></person-group><year>2019</year><fpage>42</fpage><lpage>53</lpage><page-range>42-53</page-range><pub-id pub-id-type="doi">10.22146/jtbb.44047</pub-id></element-citation></ref><ref id="BIBR-14"><element-citation publication-type="thesis"><article-title>Pengaruh konsentrasi kolkisin terhadap induksi poliploidi dan pertumbuhan tanaman porang (Amorphophallus muelleri Blume</article-title><person-group person-group-type="author"><name><surname>Rachmatia</surname><given-names>S.</given-names></name></person-group><year>2022</year><publisher-name>Universitas Islam Negeri Maulana Malik Ibrahim</publisher-name><publisher-loc>Malang</publisher-loc></element-citation></ref><ref id="BIBR-15"><element-citation publication-type="article-journal"><article-title>Genetic diversity, conservation, and utilization of plant genetic resources</article-title><source>Genes</source><volume>14</volume><issue>1</issue><person-group person-group-type="author"><name><surname>Salgotra</surname><given-names>R.K.</given-names></name><name><surname>Chauhan</surname><given-names>B.S.</given-names></name></person-group><year>2023</year><fpage>1</fpage><lpage>20</lpage><page-range>1-20</page-range><pub-id pub-id-type="doi">10.3390/genes14010174</pub-id></element-citation></ref><ref id="BIBR-16"><element-citation publication-type="article-journal"><article-title>Characterization of drought tolerance of GmDREB2 soybean mutants (Glycine max (L.) Merr) by ethyl methane sulfonate induction</article-title><source>AIP conference proceedings</source><volume>2019</volume><issue>1</issue><person-group person-group-type="author"><name><surname>Savitri</surname><given-names>E.S.</given-names></name><name><surname>Fauziah</surname><given-names>S.M.</given-names></name></person-group><year>2018</year><fpage>1</fpage><lpage>7</lpage><page-range>1-7</page-range><pub-id pub-id-type="doi">10.1063/1.5061853</pub-id></element-citation></ref><ref id="BIBR-17"><element-citation publication-type="article-journal"><article-title>Mutagenic action of ethyl methane sulphonate (EMS): A review</article-title><source>Journal of Research &amp; Development</source><volume>16</volume><person-group person-group-type="author"><name><surname>Shah</surname><given-names>D.</given-names></name><name><surname>Kamili</surname><given-names>A.N.</given-names></name><name><surname>Wani</surname><given-names>A.A.</given-names></name><name><surname>Nazir</surname><given-names>N.</given-names></name><name><surname>Sajad</surname><given-names>N.</given-names></name><name><surname>Khan</surname><given-names>I.</given-names></name><name><surname>Parray</surname><given-names>J.A.</given-names></name><name><surname>Shah</surname><given-names>S.</given-names></name></person-group><year>2016</year><fpage>63</fpage><lpage>68</lpage><page-range>63-68</page-range></element-citation></ref><ref id="BIBR-18"><element-citation publication-type="article-journal"><article-title>Characterization of carnation (Dianthus caryophyllus L.) genotypes and gamma irradiated mutants using RAPD, ISSR and SSR markers</article-title><source>South African Journal of Botany</source><volume>148</volume><person-group person-group-type="author"><name><surname>Sharma</surname><given-names>P.</given-names></name><name><surname>Nath</surname><given-names>A.K.</given-names></name><name><surname>Dhiman</surname><given-names>S.R.</given-names></name><name><surname>Dogra</surname><given-names>S.</given-names></name><name><surname>Sharma</surname><given-names>V.</given-names></name></person-group><year>2022</year><fpage>67</fpage><lpage>77</lpage><page-range>67-77</page-range><pub-id pub-id-type="doi">10.1016/j.sajb.2022.04.012</pub-id></element-citation></ref><ref id="BIBR-19"><element-citation publication-type="article-journal"><article-title>Apllication of glucomannan</article-title><source>Journal of Pharmaceutical Research</source><volume>21</volume><issue>1</issue><person-group person-group-type="author"><name><surname>Sharma</surname><given-names>S.</given-names></name><name><surname>Wadhwa</surname><given-names>N.</given-names></name></person-group><year>2022</year><fpage>1</fpage><lpage>51018579211</lpage><page-range>1-51018579211</page-range></element-citation></ref><ref id="BIBR-20"><element-citation publication-type="article-journal"><article-title>Mutagenesis as a tool in plant genetics, functional genomics, and breeding</article-title><source>International journal of plant genomics</source><volume>2011</volume><issue>1</issue><person-group person-group-type="author"><name><surname>Sikora</surname><given-names>P.</given-names></name><name><surname>Chawade</surname><given-names>A.</given-names></name><name><surname>Larsson</surname><given-names>M.</given-names></name><name><surname>Olsson</surname><given-names>J.</given-names></name><name><surname>Olsson</surname><given-names>O.</given-names></name></person-group><year>2011</year><fpage>1</fpage><lpage>13</lpage><page-range>1-13</page-range><pub-id pub-id-type="doi">10.1155/2011/314829</pub-id></element-citation></ref><ref id="BIBR-21"><element-citation publication-type="article-journal"><article-title>EMS-induced genetic variation and morphological changes in Musa laterita</article-title><source>Current Applied Science and Technology</source><person-group person-group-type="author"><name><surname>Sonsan</surname><given-names>L.</given-names></name><name><surname>Wiriyaampaiwong</surname><given-names>P.</given-names></name><name><surname>Tankrathok</surname><given-names>A.</given-names></name><name><surname>Srisamoot</surname><given-names>N.</given-names></name></person-group><year>2023</year><fpage>1</fpage><lpage>15</lpage><page-range>1-15</page-range><pub-id pub-id-type="doi">10.55003/cast.2025.264707</pub-id></element-citation></ref><ref id="BIBR-22"><element-citation publication-type="article-journal"><article-title>Pengaruh perlakuan ethyl methanesulphonate terhadap perkecambahan dan pertumbuhan kentang granola (biji</article-title><source>Kultivasi</source><volume>18</volume><issue>1</issue><person-group person-group-type="author"><name><surname>Suteja</surname><given-names>H.N.</given-names></name><name><surname>Rostini</surname><given-names>N.</given-names></name><name><surname>Amien</surname><given-names>S.</given-names></name></person-group><year>2019</year><fpage>784</fpage><lpage>792</lpage><page-range>784-792</page-range><pub-id pub-id-type="doi">10.24198/kultivasi.v18i1.19110</pub-id></element-citation></ref><ref id="BIBR-23"><element-citation publication-type="article-journal"><article-title>Induction of synthetic polyploids of porang (Amorphophallus muelerri Blume) and assessment of its genetic variability using morphological data and RAPD molecular marker</article-title><source>Journal of Tropical Biodiversity and Biotechnology</source><volume>8</volume><issue>3</issue><person-group person-group-type="author"><name><surname>Suyono</surname><given-names>S.</given-names></name><name><surname>Indivia</surname><given-names>I.T.</given-names></name><name><surname>Resmisari</surname><given-names>R.S.</given-names></name><name><surname>Fitriyah</surname><given-names>F.</given-names></name><name><surname>Wahyudi</surname><given-names>D.</given-names></name></person-group><year>2023</year><fpage>1</fpage><lpage>12</lpage><page-range>1-12</page-range><pub-id pub-id-type="doi">10.22146/jtbb.82238</pub-id></element-citation></ref><ref id="BIBR-24"><element-citation publication-type="article-journal"><article-title>Ethyl methanesulfonate (EMS) mutagen toxicity-induced DNA damage, cytosine methylation alteration, and iPBS-retrotransposon polymorphisms in wheat (Triticum aestivum L</article-title><source>Agronomy</source><volume>13</volume><issue>7</issue><person-group person-group-type="author"><name><surname>Türkoğlu</surname><given-names>A.</given-names></name><name><surname>Haliloğlu</surname><given-names>K.</given-names></name><name><surname>Tosun</surname><given-names>M.</given-names></name><name><surname>Bujak</surname><given-names>H.</given-names></name><name><surname>Eren</surname><given-names>B.</given-names></name><name><surname>Demirel</surname><given-names>F.</given-names></name><name><surname>Szulc</surname><given-names>P.</given-names></name><name><surname>Karagöz</surname><given-names>H.</given-names></name><name><surname>Selwet</surname><given-names>M.</given-names></name><name><surname>Özkan</surname><given-names>G.</given-names></name><name><surname>Niedbała</surname><given-names>G.</given-names></name></person-group><year>2023</year><fpage>1</fpage><lpage>15</lpage><page-range>1-15</page-range><pub-id pub-id-type="doi">10.3390/agronomy13071767</pub-id></element-citation></ref><ref id="BIBR-25"><element-citation publication-type="article-journal"><article-title>Effects of gamma irradiation on morphological changes in porang (Amorphophallus muelleri Blume</article-title><source>IOP Conference Series: Earth and Environmental Science</source><volume>1312</volume><issue>1</issue><person-group person-group-type="author"><name><surname>Wahyudi</surname><given-names>D.</given-names></name><name><surname>Belina</surname><given-names>V.S.</given-names></name><name><surname>Resmisari</surname><given-names>R.S.</given-names></name></person-group><year>2024</year><fpage>1</fpage><lpage>7</lpage><page-range>1-7</page-range><pub-id pub-id-type="doi">10.3390/agronomy13071767</pub-id></element-citation></ref><ref id="BIBR-26"><element-citation publication-type="article-journal"><article-title>RAPD analysis for genetic variability detection of mutant soybean (Glycine max (L.) Merr</article-title><source>Journal of Tropical Biodiversity and Biotechnology</source><volume>5</volume><issue>1</issue><person-group person-group-type="author"><name><surname>Wahyudi</surname><given-names>D.</given-names></name><name><surname>Hapsari</surname><given-names>L.</given-names></name><name><surname>Sundari</surname><given-names>S.</given-names></name></person-group><year>2020</year><fpage>68</fpage><lpage>77</lpage><page-range>68-77</page-range><pub-id pub-id-type="doi">10.22146/jtbb.53653</pub-id></element-citation></ref><ref id="BIBR-27"><element-citation publication-type="article-journal"><article-title>Colchicine-induced genetic variability in porang (Amorphophallus muelleri Blume): a study using srap markers</article-title><source>Biotropika: Journal of Tropical Biology</source><volume>13</volume><issue>2</issue><person-group person-group-type="author"><name><surname>Wahyudi</surname><given-names>D.</given-names></name><name><surname>Suyono</surname><given-names>S.</given-names></name><name><surname>Resmisari</surname><given-names>R.S.</given-names></name><name><surname>Mauludyah</surname><given-names>R.</given-names></name></person-group><year>2025</year><fpage>73</fpage><lpage>82</lpage><page-range>73-82</page-range><pub-id pub-id-type="doi">10.21776/ub.biotropika.2025.013.02.04</pub-id></element-citation></ref><ref id="BIBR-28"><element-citation publication-type="article-journal"><article-title>Genetic diversity and population structure analysis in a large collection of white clover (Trifolium repens L.) germplasm worldwide</article-title><source>PeerJ</source><volume>9</volume><person-group person-group-type="author"><name><surname>Wu</surname><given-names>F.</given-names></name><name><surname>Ma</surname><given-names>S.</given-names></name><name><surname>Zhou</surname><given-names>J.</given-names></name><name><surname>Han</surname><given-names>C.</given-names></name><name><surname>Hu</surname><given-names>R.</given-names></name><name><surname>Yang</surname><given-names>X.</given-names></name><name><surname>Zhang</surname><given-names>X.</given-names></name><etal/></person-group><year>2021</year><fpage>1</fpage><lpage>17</lpage><page-range>1-17</page-range><pub-id pub-id-type="doi">10.7717/peerj.11325</pub-id></element-citation></ref><ref id="BIBR-29"><element-citation publication-type="article-journal"><article-title>Increased growth of porang (Amorphophallus muelleri Blume) seedlings on various bulbil weights with auxin application</article-title><source>Int. J. Sci. Res. Arch</source><volume>7</volume><issue>2</issue><person-group person-group-type="author"><name><surname>Yoseva</surname><given-names>S.</given-names></name><name><surname>Armaini</surname><given-names>N.</given-names></name><name><surname>Dini</surname><given-names>I.R.</given-names></name><name><surname>Tabrani</surname><given-names>G.</given-names></name><name><surname>Selvia</surname><given-names>R.</given-names></name></person-group><year>2022</year><fpage>624</fpage><lpage>631</lpage><page-range>624-631</page-range><pub-id pub-id-type="doi">10.30574/ijsra.2022.7.2.0369</pub-id></element-citation></ref><ref id="BIBR-30"><element-citation publication-type="article-journal"><article-title>EMS-induced mutagenesis and DNA polymorphism assessment through ISSR markers in Neolamarckia cadamba (kelampayan) and Leucaena leucocephala (petai belalang</article-title><source>European Journal of Experimental Biology</source><volume>4</volume><issue>4</issue><person-group person-group-type="author"><name><surname>ZakyZayed</surname><given-names>M.</given-names></name><name><surname>Ho</surname><given-names>W.S.</given-names></name><name><surname>Pang</surname><given-names>S.L.</given-names></name><name><surname>Ahmad</surname><given-names>F.B.</given-names></name></person-group><year>2014</year><fpage>156</fpage><lpage>163</lpage><page-range>156-163</page-range></element-citation></ref></ref-list></back></article>