<?xml version="1.0" encoding="utf-8" ?>
<article xml:lang="en" article-type="research-article" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">
    <front>
        <journal-meta>
            <journal-id journal-id-type="publisher-id">PSJFS</journal-id>
            <journal-title-group>
                <journal-title>Potravinarstvo Slovak Journal of Food Sciences</journal-title>
                <abbrev-journal-title abbrev-type="pubmed">Potr. S. J. F. Sci.</abbrev-journal-title>
            </journal-title-group>
            <issn pub-type="ppub">1338-0230</issn>
            <issn pub-type="epub">1337-0960</issn>
            <publisher>
                <publisher-name>Association HACCP Consulting</publisher-name>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="publisher-id">PSJFS-13-1-65</article-id>
            <article-id pub-id-type="doi">10.5219/1020</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>ARTICLE</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>BIOINFORMATICS ANALYSIS OF AFLATOXINS PRODUCED BY <italic>ASPREGILLUS</italic> SP. IN BASIC CONSUMER GRAIN (CORN AND RICE) IN SAUDI ARABIA</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Husnan</surname>
                        <given-names>Latifa Al</given-names>
                    </name>
                    <xref ref-type="aff" rid="aff1" />
                </contrib>
                <contrib contrib-type="author">
                    <name>
                        <surname>Kahtani</surname>
                        <given-names>Muneera Al</given-names>
                    </name>
                    <xref ref-type="aff" rid="aff2" />
                </contrib>
                <contrib contrib-type="author">
                    <name>
                        <surname>Farag</surname>
                        <given-names>Randa Mohamed</given-names>
                    </name>
                    <xref ref-type="corresp" rid="cor1">&#x002A;</xref>
                </contrib>
                <aff id="aff1">
                    <institution>Latifa Al Husnan, Assistant Prof. Molecular Genetic, Microbiology, Princess Noruah bint Abdulrahman University (PNU), Faculty of Science, Biology department, Riyadh, Kingdom of Saudi Arabia (KSA), Tel.: +966-504207002, E-mail: bio-tech-321@hotmail.com</institution>
                </aff>
                <aff id="aff2">
                    <institution>Muneera Al Kahtani, Associated Prof. Microbiology, Princess Noruah bint Abdulrahman University (PNU), Faculty of Science, Biology department, Riyadh, Kingdom of Saudi Arabia (KSA), Tel.: + 966- 504110897, E-mail: mdf.alkahtani@gmail.com</institution>
                </aff>
            </contrib-group>
            <author-notes>
                <corresp id="cor1">
                    <label>&#x002A;</label>Corresponding author: Randa Mohamed Farag, Assistant prof. Microbiology,Princess Nourah bint Abdulrahman University (PNU), Health Sciences Research Center (HSCR), Riyadh, Kingdom Saudi Arabia (KSA), Tel.: <phone>+966-54-0672520</phone>, E-mail: <email xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="randa792006@gmail.com">randa792006@gmail.com</email></corresp>
            </author-notes>
            <pub-date pub-type="ppub">
                <month>1</month>
                <year>2019</year>
            </pub-date>
            <volume>13</volume>
            <issue>1</issue>
            <fpage>65</fpage>
            <lpage>75</lpage>
            <history>
                <date date-type="received">
                    <day>18</day>
                    <month>1</month>
                    <year>2019</year>
                </date>
                <date date-type="accepted">
                    <day>28</day>
                    <month>1</month>
                    <year>2019</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>&#x00A9; Association HACCP Consulting. All rights reserved.</copyright-statement>
                <copyright-year>2019</copyright-year>
                <license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by-nc/3.0/">
                    <license-p>This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (<uri xlink:href="http://creativecommons.org/licenses/by-nc/3.0/">http://creativecommons.org/licenses/by-nc/3.0</uri>) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <abstract>
                <p>The food contaminants by aflatoxins are inevitable even when all precautions and good agricultural practices are applied. Samples of white rice and corn (yellow, red) grains were collected from different local markets and houses. Three <italic>Aspergillus flavus</italic> strain isolated were identified using molecular characterization of <italic>AFLR</italic> (<italic>aflR</italic>) toxin gene. DNA genome of the three <italic>A. flavus</italic> isolates (namely <italic>A. flavus</italic> _ YC; <italic>A. flavus</italic> _ RC; <italic>A. flavus</italic> _ Rice) which corresponds to isolates from, yellow corn, red corn and white rice respectively were used as a template for PCR to amplify <italic>Aspergillus flavus</italic> <italic>AFLR</italic> (<italic>aflR</italic>) toxin gene. Partially sequenced was amplified using a specific primer set to confirm its identity, phylogenetic relationships between the three isolates as well as determination of the corresponding antigenic determinants. The epitope prediction analysis demonstrated that there were 1, 2, 3 and 4 epitopes whose score were equal 1 in <italic>A. flavus</italic> _ YC; <italic>A. flavus</italic> _ RC; <italic>A. flavus</italic> _ Rice, respectively. Interestingly, there were great dissimilarity in the epitope sequences among the three isolates except in RLQEGGDDAAGIPA, SPPPPVETQGLGGD, RPSESLPSARSEQG and PAHNTYSTPHAHTQ were found to be similar between all isolates. This work articulates that the molecular identification and characterization of three <italic>A. flavus</italic> using <italic>Aspergillus flavus</italic> <italic>AFLR</italic> (aflR) toxin gene and the unique antigenic determinants that could be used for design of a broadspectrum antibody for rapid detection of <italic>A. flavus</italic> in foods and support quality system of food safety.</p>
            </abstract>
            <kwd-group>
                <kwd>PCR</kwd>
                <kwd>sequences</kwd>
                <kwd>phylogenetic tree</kwd>
                <kwd>protein toxic gene</kwd>
                <kwd>antigenic determinants</kwd>
            </kwd-group>
        </article-meta>
    </front>
    <body>
        <sec sec-type="intro">
            <title>INTRODUCTION</title>
            <p>Fungi caused major crops diseases during harvest and storage under higher temperature and humidity conditions (<xref ref-type="bibr" rid="b13">Bhat et al., 2010;</xref> <xref ref-type="bibr" rid="b61">Pasquali et al., 2016</xref>). While more than 25 different fungi species known to invade stored grains and legumes (<xref ref-type="bibr" rid="b30">Duan et al., 2007</xref>) some species such as <italic>Aspergillus</italic>, <italic>Fusarium</italic>, <italic>Penicillium</italic> are responsible for most spoilage and germ damage during storage (<xref ref-type="bibr" rid="b18">Boutigny et al., 2012;</xref> <xref ref-type="bibr" rid="b1">Aamot et al., 2015;</xref> <xref ref-type="bibr" rid="b45">Kachapulula et al., 2017</xref>). Crop transfers through international trade have made aflatoxins contaminated food a worldwide problem (<xref ref-type="bibr" rid="b62">Passone et al., 2010</xref>). Mycotoxins are secondary metabolites produced by fungi, which cause health hazards to animals and human beings; the majority of mycotoxins of greatest concern to human and animal health are produced by the genera <italic>Aspergillus</italic>, <italic>Penicillium</italic>, and <italic>Fusarium</italic>, the so-called field fungi that frequently infect various food commodities (<xref ref-type="bibr" rid="b68">Reddy et al., 2010</xref>). Toxicity of a mycotoxin will be manifested by its effect on the human and animal health and productivity of crops (<xref ref-type="bibr" rid="b5">Abdel-Wahhab et al., 2006</xref>). The main routes of mycotoxins exposure are ingestion, inhalation or through skin contact. The toxicity of a mycotoxin is determined by metabolism involving the, transformation, administration, distribution, absorption, excretion and molecular interactions of the toxin and its metabolites. Nowadays the main mycotoxins of interest are aflatoxins (AFs), ochratoxins, (<xref ref-type="bibr" rid="b37">Frisvad et al., 2019</xref>), trichothecenes, zearalenone, fumonisins, ergot alkaloids and deoxynivalenol (<xref ref-type="bibr" rid="b68">Reddy et al., 2010;</xref> <xref ref-type="bibr" rid="b22">Cendoya et al., 2014;</xref> <xref ref-type="bibr" rid="b25">Covarelli et al., 2015;</xref> <xref ref-type="bibr" rid="b77">Singh and Cotty, 2019</xref>). Mycotoxin producing fungi which are associated with groundnuts, peanuts, cereals such as maize, rice, sorghum, wheat, barley and oats and spices such as black pepper, ginger, nutmeg, chilly, etc. are considered to be of greater significance for all over world (<xref ref-type="bibr" rid="b48">Kumar et al., 2008;</xref> <xref ref-type="bibr" rid="b19">Bro&#x17E;kov&#xE1; et al., 2015</xref>). Several studies have revealed mycotoxin contamination in rice worldwide: for example, aflatoxins in the United Arab Emirates (<xref ref-type="bibr" rid="b59">Osman et al., 1999</xref>) fumonisins in Iran, Argentina (<xref ref-type="bibr" rid="b10">Alizadeh et al., 2012;</xref> <xref ref-type="bibr" rid="b22">Cendoya et al., 2014</xref>) OTA in Morocco (<xref ref-type="bibr" rid="b44">Juan et al., 2008</xref>), ZEA in Nigeria (<xref ref-type="bibr" rid="b54">Makun et al., 2007</xref>), DON in Italy (<xref ref-type="bibr" rid="b52">Lor&#xE8; et al., 2011</xref>) nivalenol in Korea (<xref ref-type="bibr" rid="b50">Lee et al., 2011</xref>) and citrinin in Egypt (<xref ref-type="bibr" rid="b3">Abd Allah and Ezzat, 2005</xref>). As most of the corn and rice is grown during the wet season; it is susceptible to mycotoxin contamination. Rice is shown to be a good substrate for toxigenic fungi like <italic>A. flavus</italic>, <italic>A. ochraceus</italic>, <italic>Penicillium</italic> <italic>citrinum</italic>, and <italic>F. proliferatum</italic> (<xref ref-type="bibr" rid="b1">Aamot et al., 2015;</xref> <xref ref-type="bibr" rid="b11">Arino et al., 2007;</xref> <xref ref-type="bibr" rid="b72">S&#xE1;nchez-Herv&#xE1;s et al., 2008</xref>). Humidity, temperature, storage conditions, and transportation period are the factors that influence mycotoxin production in rice (<xref ref-type="bibr" rid="b11">Ari&#xF1;o et al., 2007</xref>). Regarding legumes in Saudi Arabia, very little information exists with respect to its natural contamination with toxigenic fungi and mycotoxins. Aflatoxins were detected in some <italic>Aspergillus</italic> isolates while fumonisin was detected in some <italic>Fusarium</italic> isolates (<xref ref-type="bibr" rid="b42">Ibrahim et al., 1998;</xref> <xref ref-type="bibr" rid="b4">Abdel- Fatah et al., 2017</xref>). Among food contaminants, mycotoxins may cause substantial economic loss due to lower availability of commodities with acceptable levels of mycotoxins present and possibly greater cost of mycotoxin-safe and acceptable foods (<xref ref-type="bibr" rid="b55">Mwanza et al., 2013;</xref> <xref ref-type="bibr" rid="b71">Samina, 2015</xref>). Mycotoxins continue to pose various health risks to consumers depending on specific mycotoxin consumed and level of exposure, and health status of individuals in the population (<xref ref-type="bibr" rid="b82">Voss et al., 2014;</xref> <xref ref-type="bibr" rid="b61">Pasquali et al., 2016</xref>). Many human diseases, especially carcinogenic, teratogenic, hepatic, and gastrointestinal ones, have been found linked with the ingestion of mycotoxin-contaminated products (<xref ref-type="bibr" rid="b38">Fung and Clark, 2004;</xref> <xref ref-type="bibr" rid="b76">Shephard, 2008;</xref> <xref ref-type="bibr" rid="b71">Samina, 2015</xref>). Outbreaks of mycotoxicoses in humans and animals, caused by ingestion of products containing mycotoxins, (<xref ref-type="bibr" rid="b63">Peraica and Ra&#x161;i&#x107;, 2012</xref>). Risk assessments relating to food safety are frequently hampered by the lack of quantitative data (<xref ref-type="bibr" rid="b74">Schmidt-Heydt et al., 2007</xref>). The sequencing fungal genomes and the studies of the molecular basis of fungal pathogenicity provide the study of risk factors associated with continuous exposer of mycotoxins (<xref ref-type="bibr" rid="b16">Bilodeau, 2011;</xref> <xref ref-type="bibr" rid="b80">Taha et al., 2012</xref>). This paper was shown concentrated on aflatoxins produced by <italic>Aspregillus</italic> sp. and possibility for used the similarity between amino acid toxin gene of <italic>Aspregillus</italic> isolates strain for produced antibodies. Where the database of <italic>Aspregillus</italic> genomes provides a comprehensive resource of genomics data information’s an important plant and human pathogenic fungal genus <italic>Aspregillus</italic>. It’s given useful for discovery of genes encoding industrial enzymes, and antibiotics which may control in aflatoxin food contaminations (<xref ref-type="bibr" rid="b78">Spr&#xF6;te et al., 2009;</xref> <xref ref-type="bibr" rid="b80">Taha et al., 2012</xref>). AFs are a group of polyketide-derived furanocoumarins, with at least 16 structurally related toxins that have been characterized. These toxins are produced by a number of different <italic>Aspergillus</italic> species are primarily produced by <italic>Aspergillus flavus</italic>  and <italic>Aspergillus parasiticus</italic>  (<xref ref-type="bibr" rid="b39">Geiser et al., 2007;</xref> <xref ref-type="bibr" rid="b43">Ito et al., 2001</xref>). There are four major AFs (AFB1, AFB2, AFG1, AFG2) all of which occur naturally (<xref ref-type="bibr" rid="b2">Abbas et al., 2010</xref>). AFB1 is the most commonly occurring of the mold producing compounds (<xref ref-type="bibr" rid="b6">Abdulkadar et al., 2004</xref>). AFB1 has been included in category 1A of active carcinogenic compound (<xref ref-type="bibr" rid="b7">Abou-zeid et al., 1997;</xref> <xref ref-type="bibr" rid="b5">Abdel-Wahhab et al., 2006</xref>). Factors influencing the presence of mycotoxins in foods or feeds include environmental conditions related to storage that can be controlled (<xref ref-type="bibr" rid="b60">Park et al., 2005</xref>). So, in this study, we have hypothesized that mycotoxins effects in human populations year to year because other factors as the fungal strain specificity, strain variation, and instability of toxigenic properties are more difficult to control (<xref ref-type="bibr" rid="b32">El-Manzalawy et al., 2008a;</xref> <xref ref-type="bibr" rid="b33">El-Manzalawy et al., 2008b</xref>). However, by the articulate the molecular identification and characterization of mycotoxins, can be control in mycotoxins effects. In this study our aim advocate to using molecular detection and bioinformatics characterization for study the properties of protein toxin gene of aflatoxins in main consumer grains as rice and corn. Many human diseases occurring in Japan and other Asian countries were attributed to mycotoxins after consumption of mold-damaged rice (<xref ref-type="bibr" rid="b81">Taligoola et al., 2011</xref>). Unfortunately, enactment of stringent rules for mycotoxin control in food is not always the best solution (<xref ref-type="bibr" rid="b71">Samina, 2015</xref>). The impact of mycotoxin standards is more drastic for the population of developing countries (<xref ref-type="bibr" rid="b61">Pasquali et al., 2016;</xref> <xref ref-type="bibr" rid="b83">Yassin et al., 2010</xref>).</p>
            <sec>
                <title>Scientific hypothesis</title>
                <p>Therefore, the aim of this study was to determine the <italic>Aspergillus</italic> species by the molecular identification of toxigenic mycotoxin profiles of those species that are naturally occurring in contaminating corn and rice seeds (as the main crops imported in Saudi Arabia) and protein structural analysis depicted from the gene(s) responsible for toxin biosynthesis. Which can be used as screening test for cost-effective control of mycotoxin and their products. We have hypothesized that by study the molecular characterizations and bioinformatics properties of Aflatoxins could in future be able to produce vaccine for species of <italic>Aspergillus</italic> genera which have higher prevalence rate in development countries (<xref ref-type="bibr" rid="b14">Bhatnagar et al. 2003;</xref> <xref ref-type="bibr" rid="b61">Pasquali et al. 2016</xref>).</p>
            </sec>
        </sec>
        <sec sec-type="materials|methods">
            <title>MATERIAL AND METHODOLOGY</title>
            <sec>
                <title>Grains samples and isolation of mycotoxigenic <italic>Aspergillus</italic> species</title>
                <p>One hundred fifty grains corn (yellow and red grains) and rice were collected from different area of Saudi Arabia (Riyadh, Hail, Qasim, Asir,Tabuk, Jizan, Jouf, Jeddah and Dammam), where collected from storage markets and houses. The collected grains were randomly and its weight between 0.5 – 1 kg of each grain in cleans and dries packaging. Agar plate and blotter tests were used to isolate <italic>Aspergillus</italic> sp. as described by <xref ref-type="bibr" rid="b57">Neergaard (1977)</xref>. Grains were divided into two groups, the first group was disinfected with sodium hypochlorite 1% for 2 min and the second group was non-disinfected. All grains were washed several times by sterilized water, and then dried between sterilized filter papers. The half of each group was plated on potato dextrose agar (PDA) (Sigma-Aldrich, USA). All dishes were incubated for 5 – 7 days at 25 &#xB0;C. All isolation process under sterilized conditions to prevent any contamination of grain.</p>
            </sec>
            <sec>
                <title>Purification and identification of <italic>Aspergillus</italic> species</title>
                <p>
                    <italic>Aspregillus</italic> species were initially identified to species based on the morphological characteristics (Leslie, Summerell and Bullock, 2006) of the macroconidia, microconidia and general mycelium presentation from a single spore isolate grown for 7 – 10 days on SNA with an Olympus BH-2 (Olympus America, New York) light microscope. Potato Dextrose Agar (PDA) was used to identify colony pigment characteristics of aerial mycelium on the agar (Leslie, Summerell and Bullock, 2006). Carnation Leaf Agar (CLA) (bio-WORLD, USA) was used to identify macroconidia, chlamydospores and the presentation of aerial mycelium single colony was transferred and purified by hypha tip technique onto PDA medium in the presence of streptomycin (50 mg.ml-1). The developing fungi were prepared for molecular identification using primers specific for the <italic>Aspergillus flavus</italic>  <italic>AFLR (aflR)</italic>  toxin gene. All conditions of isolation and purification of mycotoxins were performed under sterilization for prevent any external agent of seeds pollutions.</p>
            </sec>
            <sec>
                <title>Molecular identification of <italic>Aspergillus flavus</italic>  <italic>AFLR (aflR)</italic>  toxin gene</title>
                <sec>
                    <title>Isolation of DNA genome</title>
                    <p>The mycelium mass of <italic>Aspergillus</italic> species isolates grown on PDA broth medium was harvested by centrifugation at 6000 rpm for 10 min. The pellets were washed twice by PBS buffer and stored at 200 &#xB0;C. Total DNA of the three isolates was isolated using lysozyme – dodecyl sulfate lysis method as described by <xref ref-type="bibr" rid="b49">Leach et. al. (1990)</xref>.</p>
                </sec>
                <sec>
                    <title>Amplification and purification of <italic>Aspergillus flavus</italic>  <italic>AFLR (aflR)</italic>  gene</title>
                    <p>Specific PCR reactions were conducted to assess the presence of <italic>AFLR (aflR)</italic>  gene. The primers used as described by <xref ref-type="bibr" rid="b21">Cary et al. (2000)</xref> were: Omtl-F (<italic>aflR</italic> ) (5′-GCCTTGCAAACACACTTTCA-3′); Omtl-R 5′-AGTTGTTGAACGCCCCAGT3′) and optimal annealing (Tm = 55 &#xB0;C). The PCR amplification conditions included initial denaturation at 94 &#xB0;C for 5 min then 35 cycles at 94 &#xB0;C for 30 s, 55 &#xB0;C for 60 s followed by extension step at 72 &#xB0;C for 90 s. and a final extension at 72 &#xB0;C for 7 min. The amplification reaction was performed by thermal cycler (Applied Biosystems, USA). Purification of PCR product was detected by electrophoresis (PNU, Faculty of science, Research center) using agarose 1.5% in 1x TAE buffer and staining with ethidium bromide (Qiagen, Berlin, Germany) (<xref ref-type="bibr" rid="b70">Sambrook et al., 1989</xref>). The resultant fragment of <italic>Aspergillus flavus</italic>  <italic>AFLR (aflR)</italic>  toxin gene was excised from the gel and purified using a QIA quick gel extraction kit (Qiagen, Berlin, Germany).</p>
                </sec>
                <sec>
                    <title>DNA sequencing</title>
                    <p>The purified PCR products were prepared for Sanger sequencing technology using DNA sequencer technique (Sigma, central lab, PNU, KSA). DNA sequences of <italic>Aspergillus flavus</italic>  isolates were aligned using Bio Edit software version 7 (www. Mbio-NCUs. Edu/bio. Edit) and were compared of the often accessions of Aspergillys sp. available in the NCBI data base using BIASI- algorithm to identify closely related sequences (<ext-link ext-link-type="uri" xlink:href="http/WWW.NCbI.Nih.Gov">http/WWW.NCbI.Nih.Gov</ext-link>). Dendrograms were constructed by using unwerighted pair Group method with Arithmetic (UPGMA) on Gen bank.</p>
                </sec>
                <sec>
                    <title>Epitope prediction and antigenicity</title>
                    <p>The primary amino acids sequence of the <italic>Aspergillus flavus</italic>  <italic>AFLR (aflR)</italic>  toxin gene protein was evaluated from the corresponding nucleotide sequence using MEGA 6.0 software. The linear B-cell epitopes in the primary amino acid sequence of the coat protein was performed using BCPREDS server with default parameters (<ext-link ext-link-type="uri" xlink:href="http://ailab.cs.iastate.edu/bcpreds/">http://ailab.cs.iastate.edu/bcpreds/</ext-link>) which implements a support vector machine (SVM) and the subsequence kernel method (<xref ref-type="bibr" rid="b32">El-Manzalawy et al., 2008a</xref>). Flexible length linear B-cell epitopes were predicted using FBCP red (<xref ref-type="bibr" rid="b33">El-Manzalawy et al., 2008b</xref>) method with a specificity cut-off; 75%. The antigenicity of each amino acid residue in the primary protein sequence was determined using a semi-empirical method (Kolaskar and Tongaonkar, 1990) which makes use of physicochemical properties of each amino acid and their frequencies of occurrence in experimentally known segmental epitopes.</p>
                </sec>
            </sec>
        </sec>
        <sec sec-type="results|discussion">
            <title>RESULTS AND DISCUSSION</title>
            <p>Three <italic>Aspergillus</italic> isolates from tested grains by PDA method was purified by single spore and hypha tip on PDA slant medium. The <italic>Aspergillus</italic> isolates were selected for molecular identification using <italic>Aspergillus flavus</italic>  <italic>AFLR (aflR)</italic>  toxin gene sequencing. Three <italic>Aspergillus</italic> isolates represented grains from yellow corn, red corn and white rice and designated as <italic>A. flavus</italic>  _ YC; <italic>A. flavus</italic>  _ RC; <italic>A. flavus </italic> _ Rice respectively.</p>
            <sec>
                <title>Molecular characters of toxin gene</title>
                <p>Total DNA was extracted from <italic>A. flavus</italic>  _ YC; <italic>A. flavus</italic>  _ RC; <italic>A. flavus</italic>  _ Rice isolates infected grains. <italic>Aspergillus flavus</italic>  <italic>AFLR (aflR)</italic>  toxin gene was amplified from isolated DNA of mycelium using PCR reaction mixture and specific primer sets. PCR amplicons were allowed for sequencing reaction through cycle sequencing method. The DNA amplicons returned as electropherogram files. Electropherogram showed distinct peaks for each base cell as well as high <italic>Q</italic> values for each cell. Sequences obtained for each primer for each isolate had sufficient overlap between them and used to form one continuous sequence (Coting). The nucleotide partial sequence of <italic>Aspergillus flavus</italic>  <italic>AFLR (aflR)</italic>  toxin gene in the three isolates was compared with published isolates on Gen Bank. The sequence homology revealed that the gene of interest <italic>Aspergillus flavus</italic>  <italic>AFLR (aflR)</italic>  toxin gene and the test fungal isolates was <italic>Aspergillus flavus</italic>  isolates. A multiple sequence alignment was constructed using ClustalW software (GNU Lesser GPL) between the three studied isolates. The alignment showed many conserved regions in all sequences as well as distinguished the heterogeneity positions among the aligned sequences (Figure <xref ref-type="fig" rid="F1a">1a</xref>, <xref ref-type="fig" rid="F1b">1b</xref>, <xref ref-type="fig" rid="F1c">1c</xref>). Phylogenetic analysis was performed by construction of phylogenetic tree using a neighbor joining method to unravel the relationships among all <italic>Aspergillus flavus</italic>  isolates (Figure <xref ref-type="fig" rid="F2">2</xref>). The phylogenetic tree resulted in two clades in which <italic>A. flavus</italic>  _ Rice (white rice isolate) and <italic>A. flavus</italic>  _ RC (red corn isolate) were in the same cluster whilst <italic>A. flavus</italic>  _ YC (yellow corn isolate) was separate in a different cluster (Figure <xref ref-type="fig" rid="F2">2</xref>). Thus, the molecular identification based on sequence homology of the <italic>Aspergillus flavus</italic>  <italic>AFLR (aflR)</italic>  toxin gene confirmed the identity and phylogeny of the studied three <italic>Aspergillus flavus</italic>  isolates.</p>
                <fig id="F1a" position="float">
                    <label>Figure 1</label>
                    <caption>
                        <p>Multiple sequence alignment of the <italic>aflr</italic> gene partial sequence among three <italic>Aspergillus flavus</italic>  isolated from yellow corn (YC), red Corn (RC) and rice.</p>
                    </caption>
                    <graphic xlink:href="PSJFS-13-1-65_F1a.jpg"/>
                </fig>
                <fig id="F1b" position="float">
                    <label>Figure 1b</label>
                    <caption>
                        <p>Multiple sequence alignment of the <italic>aflr</italic> gene partial sequence among three <italic>Aspergillus flavus</italic>  isolated from yellow corn (YC), red corn (RC) and rice.</p>
                    </caption>
                    <graphic xlink:href="PSJFS-13-1-65_F1b.jpg"/>
                </fig>
                <fig id="F1c" position="float">
                    <label>Figure 1c</label>
                    <caption>
                        <p>Multiple sequence alignment of the <italic>aflr</italic> gene partial sequence among three <italic>Aspergillus flavus</italic>  isolated from yellow corn (YC), red corn (RC) and rice.</p>
                    </caption>
                    <graphic xlink:href="PSJFS-13-1-65_F1c.jpg"/>
                </fig>
                <fig id="F2" position="float">
                    <label>Figure 2</label>
                    <caption>
                        <p>Phylogenetic tree using neighbor joining method among the three <italic>Aspergillus</italic> isolates.</p>
                    </caption>
                    <graphic xlink:href="PSJFS-13-1-65_F2.jpg"/>
                </fig>
                <p>The epitope prediction analysis demonstrated that there were 1, 2, 3 and 4 epitopes whose score were equal 1 in <italic>A. flavus</italic>  _ YC (yellow corn), B: <italic>A. flavus</italic>  _ RC (red corn) and C: <italic>A. flavus</italic>  _ Rice (white rice). Also, there were great variations in the epitope sequences among the three isolates except in RLQEGGDDAAGIPA, SPPPPVETQGLGGD, RPSESLPSARSEQG and PAHNTYSTPHAHTQ were found to be common between all isolates. These residues with high frequencies of occurrences in antigenic determinants were highlighted (yellow) in the antigenicity profile (Figure <xref ref-type="fig" rid="F3">3</xref>). Figure (<xref ref-type="fig" rid="F3">3</xref>) also show the variability in the positions and types of amino acid residues with high antigenic frequency. Table. <xref ref-type="table" rid="T1">1</xref></p>
                <fig id="F3" position="float">
                    <label>Figure 3</label>
                    <caption>
                        <p>Show the amino acids sequence of <italic>AFLR (aflR)</italic>  gene sequence protein of the three <italic>Aspergillus flavus</italic>  isolates.</p>
                    </caption>
                    <graphic xlink:href="PSJFS-13-1-65_F3.jpg"/>
                </fig>
                <table-wrap id="T1" position="float">
                    <label>Table 1</label>
                    <caption>
                        <p>Flexible length predictions of epitopes in the amino acids sequence of <italic>AFLR (aflR)</italic>  gene sequence protein of the three <italic>Aspergillus flavus</italic>  isolates.</p>
                    </caption>
                    <table frame="hsides" rules="none" width="100%">
                        <thead>
                            <tr>
                                <th>No.</th>
                                <th>Epitope/ <italic>A. flavus</italic>  _ YC (yellow corn)</th>
                                <th>Score/</th>
                                <th>Epitope/ <italic>A. flavus</italic>  _ RC (red corn)</th>
                                <th>Score/</th>
                                <th>Epitope/ <italic>A. flavus</italic>  _ Rice (white rice)</th>
                                <th>Score/</th>
                            </tr>
                            <tr>
                                <th colspan="7">
                                    <hr/>
                                </th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr align="center">
                                <td>1</td>
                                <td>RLQEGGDDAAGIPA</td>
                                <td>1</td>
                                <td>RLQEGGDDAAGIPA</td>
                                <td>1</td>
                                <td>RLQEGGDDAAGIPA</td>
                                <td>1</td>
                            </tr>
                            <tr align="center">
                                <td>2</td>
                                <td>SPPPPVETQGLGGD</td>
                                <td>1</td>
                                <td>SPPPPVETQGLGGD</td>
                                <td>1</td>
                                <td>SPPPPVETQGLGGD</td>
                                <td>1</td>
                            </tr>
                            <tr align="center">
                                <td>3</td>
                                <td>DHISPRASPGPIRS</td>
                                <td>1</td>
                                <td>DHISPRASPGPIRS</td>
                                <td>1</td>
                                <td>GETNSGSCSNSPAT</td>
                                <td>1</td>
                            </tr>
                            <tr align="center">
                                <td>4</td>
                                <td>PPHALPTPNGSSSV</td>
                                <td>1</td>
                                <td>PPHALPTPNGSSSV</td>
                                <td>1</td>
                                <td>RRASPGPIRSSQTR</td>
                                <td>1</td>
                            </tr>
                            <tr align="center">
                                <td>5</td>
                                <td>GETNSGSCSNSPAT</td>
                                <td>1</td>
                                <td>GETNSGSCSNSPAT</td>
                                <td>1</td>
                                <td>PHALPNRNGSSSVS</td>
                                <td>1</td>
                            </tr>
                            <tr align="center">
                                <td>6</td>
                                <td>IDPFFESAPLPPFQ</td>
                                <td>0.997</td>
                                <td>IDPFFESAPLPPFQ</td>
                                <td>0.997</td>
                                <td>IDPFLESAPLPPFQ</td>
                                <td>0.996</td>
                            </tr>
                            <tr align="center">
                                <td>7</td>
                                <td>MGRNPRAPSPLDST</td>
                                <td>0.994</td>
                                <td>MARNPRAPSPLDST</td>
                                <td>0.995</td>
                                <td>MGRNPRAPSPIDST</td>
                                <td>0.992</td>
                            </tr>
                            <tr align="center">
                                <td>8</td>
                                <td>RPSESLPSARSEQG</td>
                                <td>0.99</td>
                                <td>RPSESLPSARSEQG</td>
                                <td>0.99</td>
                                <td>RPSESLPSARSEQG</td>
                                <td>0.99</td>
                            </tr>
                            <tr align="center">
                                <td>9</td>
                                <td>PAHNTYSTPHAHTQ</td>
                                <td>0.936</td>
                                <td>PAHNTYSTPHAHTQ</td>
                                <td>0.936</td>
                                <td>PAHNTYSTPHAHTQ</td>
                                <td>0.936</td>
                            </tr>
                            <tr align="center">
                                <td>10</td>
                                <td>MEHGTHVDFLAEST</td>
                                <td>0.847</td>
                                <td>VRCTKEKPACARCI</td>
                                <td>0.855</td>
                                <td>VRCTKEKPACARCI</td>
                                <td>0.855</td>
                            </tr>
                            <tr align="center">
                                <td>11</td>
                                <td>SSGCLTEERVLHLP</td>
                                <td>0.842</td>
                                <td>TDGEDSSCNLMTTD</td>
                                <td>0.79</td>
                                <td>SSGCLTEERVLHLP</td>
                                <td>0.842</td>
                            </tr>
                            <tr align="center">
                                <td>12</td>
                                <td>TDGEDSSCNLMTTD</td>
                                <td>0.79</td>
                                <td>VVLIVLKVVAWYAA</td>
                                <td>0.778</td>
                                <td>THLFPHAPLGCQLR</td>
                                <td>0.733</td>
                            </tr>
                            <tr align="center">
                                <td>13</td>
                                <td>KVRCKEKPACARCI</td>
                                <td>0.773</td>
                                <td>VGEDCVDEEDQPRV</td>
                                <td>0.713</td>
                                <td>VGEDCVDEEDQPRV</td>
                                <td>0.713</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
                <p>Mycotoxin detection is a major problem in developing countries where contaminated food commodities may readily reach food stores and homes (<xref ref-type="bibr" rid="b16">Bilodeau, 2011;</xref> <xref ref-type="bibr" rid="b18">Boutigny et al., 2012;</xref> <xref ref-type="bibr" rid="b80">Taha et al., 2017</xref>). The risk of contamination by mycotoxins is an important food safety concern for grains and other field crops (<xref ref-type="bibr" rid="b6">Abdulkadar et. al., 2004;</xref> <xref ref-type="bibr" rid="b55">Mwanza et al., 2013</xref>). Humans are exposed to mycotoxins throughout their life time due to consumption of fungus-contaminated food products and many human diseases, especially carcinogenic, teratogenic, hepatic, and gastrointestinal ones, have been found linked with the ingestion of mycotoxin-contaminated products (<xref ref-type="bibr" rid="b38">Fung and Clark, 2004;</xref> <xref ref-type="bibr" rid="b76">Shephard, 2008;</xref> <xref ref-type="bibr" rid="b55">Mwanza et al., 2013</xref>). Sufficient quantities of mycotoxins in food and feedstuff can adversely affect human and animal health (<xref ref-type="bibr" rid="b67">Qiu and Shi, 2014</xref>). Environmental factors and host species have a strong impact on the occurrence of a specific chemotype and the incidence of <italic>Aspergillus</italic> species (<xref ref-type="bibr" rid="b14">Bhatnagar et al., 2003</xref>). The distribution of <italic>Aspergillus</italic> species in maize is influenced by optimal climatic conditions, pathogenicity and competition between other fungi (<xref ref-type="bibr" rid="b15">Bhatnagar et al., 2006</xref>). The type of environmental factor identified in the incidence of <italic>Aspergillus</italic> species as demonstrated in recent EU maize surveys (<xref ref-type="bibr" rid="b26">Creepy, 2002</xref>). In those studies, the prevalence of species varied year-to-year and was believed to be associated with the differences in climatic conditions between years (<xref ref-type="bibr" rid="b20">Caldas et al., 2002;</xref> <xref ref-type="bibr" rid="b73">Scauflaire et al., 2011</xref>). As was reported by <xref ref-type="bibr" rid="b25">Covarelli et al. (2015)</xref> the emergence of toxigenic fungi on small grains has a negative impact on the safety and quality of feed and food. in this study We isolate mycotoxins strains of <italic>Aspergillus</italic> sp from contaminated corn and rice grains by a genomic library through amplication mycotoxins structure genes (aflR) by polymerase chain reaction (PCR) and sequencing of amplicans this result was agree with (<xref ref-type="bibr" rid="b24">Chen et al., 2002</xref>). Data clearly reveal that the PCR technique is efficient in distinguishing mycotoxins (<xref ref-type="bibr" rid="b16">Bilodeau, 2011;</xref> <xref ref-type="bibr" rid="b27">de Souza et al., 2005;</xref> <xref ref-type="bibr" rid="b80">Taha et al., 2012;</xref> <xref ref-type="bibr" rid="b9">Allam et al., 2015)</xref> from commonly inhabiting stored grains. We isolate <italic>Aspergillus</italic> sp. from both zellow and red corn which used in food and feed in human and animal; also isolated from long and short rice (<xref ref-type="bibr" rid="b58">Niessen, 2007;</xref> <xref ref-type="bibr" rid="b36">Fox and Howlett, 2008</xref>). <italic>Aspergillus</italic> species being able to grow at moderate to high temperature (<xref ref-type="bibr" rid="b31">Ehrlich et al., 2003</xref>) and its responsible for spoilage of food commodities during transport and storage. In addition, reduction in nutritive value, insipidness and discoloration are other problems resulted from contamination of grains by <italic>Aspergillus</italic> (<xref ref-type="bibr" rid="b28">Dean et al., 2012</xref>). Rapid and accurate identification of <italic>Aspergillus</italic> and/or their metabolites are mandatory for the implementation of preventive measures in the whole food production system as was reported by <xref ref-type="bibr" rid="b17">Bok and Keller, (2004);</xref> Bhatnagar et al. (<xref ref-type="bibr" rid="b14">2003</xref>) and <xref ref-type="bibr" rid="b28">Dean et al. (2012)</xref>. The molecular characterization of three <italic>Aspergillus</italic> sp. isolated from small grains (yellow corn, white rice and red corn) using the mycotoxins gene, aflatoxin <italic>AFLR (aflR)</italic>  allowed for coupled identification and mycotoxins screening in the three <italic>Aspergillus</italic> isolates (<xref ref-type="bibr" rid="b15">Bhatnagar et al., 2006</xref>). Mycotoxins-producing fungi were isolated from sorghum grains from Saudia Arabia before (<xref ref-type="bibr" rid="b53">Mahmoud et al., 2013;</xref> <xref ref-type="bibr" rid="b83">Yassin et al., 2010</xref>). Following the molecular identification of <italic>Aspergillus</italic> sp. B-cell epitopes in the aflatoxin <italic>AFLR (aflR)</italic>  gene were predicted. The characterization of B-cell epitopes using computational tools is highly advantageous for the synthesis of specific antibodies for rapid detection of microbial pathogens in their environments. The epitopes prediction saves labor and time for validation experiments. The identification of epitopes plays a crucial role in the vaccine design, immunodiagnostic testing and antibody production (<xref ref-type="bibr" rid="b75">Sette and Fikes, 2003</xref>). In this study, BCPREDS server was used to predict epitopes found in the primary amino acids sequence of aflatoxin <italic>AFLR (aflR)</italic>  protein. BCPREDS proved high efficiency to predict linear B-cell epitopes in SARS-CoV S protein (<xref ref-type="bibr" rid="b32">El-Manzalawy et al., 2008a;</xref> <xref ref-type="bibr" rid="b33">El-Manzalawy et al., 2008b</xref>). There was variability in the sequence and numbers of epitopes among the three toxin proteins analyzed. Here, a fixed length of epitopes (14 residues) was observed. The epitope prediction analysis demonstrated that there were 1, 2, 3 and 4 epitopes whose score were equal 1 in <italic>A. flavus</italic>  _ YC; <italic>A. flavus</italic>  _ RC; <italic>A. flavus</italic>  _ Rice respectively. In this study, there were great dissimilarity in the epitope sequences among the three isolates. But we found that there some epitope sequences were common between all isolates in RLQEGGDDAAGIPA, SPPPPVETQGLGGD, RPSESLPSARSEQG and PAHNTYSTPHAHTQ. This result suggesting its exploitation for design of a specific antibody to be used for rapid detection of different <italic>Aspergillus</italic> species in small grains (<xref ref-type="bibr" rid="b31">Ehrlich et al., 2003;</xref> <xref ref-type="bibr" rid="b29">Degola et al., 2007</xref>). The highly frequent residues with high antigenicity profiles such as valine, leucine, isoleucine, aspartic acid, glutamine and glutamic acid are mostly hydrophobic (<xref ref-type="bibr" rid="b30">Duan et al., 2007</xref>). The occurrence of hydrophobic residues in epitopes is frequent and do have a hierarchy signature (<xref ref-type="bibr" rid="b84">Zhang, 2002;</xref> <xref ref-type="bibr" rid="b8">Aftabuddin and Kundu, 2007;</xref> <xref ref-type="bibr" rid="b79">Suga and Galel, 2007;</xref> <xref ref-type="bibr" rid="b73">Scauflaire et al., 2011</xref>). Epitope prediction has many implications in pathogen detection and differentiation applications. The consideration of occurrence of <italic>Aspergillus</italic> sp. on small grains is important in risk assessment of mycotoxins and setting up preventive measures proactively. The main problems concentrated in high risk outbreaks of aflatoxicosis have been reported in different countries all over the world; that because the widespread of aflatoxin contamination especially in developing countries (<xref ref-type="bibr" rid="b64">Pitt 2000a;</xref> <xref ref-type="bibr" rid="b65">Pitt 2000b;</xref> <xref ref-type="bibr" rid="b47">Kovacs, 2004</xref>). No doubt, that the safety control in food and feed processing should be by prevention of mycotoxin contamination in agriculture by used as simple and rapid screening tests for cost-effective control of food diseases by production of vaccines (<xref ref-type="bibr" rid="b75">Sette and Fikes, 2003;</xref> <xref ref-type="bibr" rid="b66">Probst et al., 2014;</xref> <xref ref-type="bibr" rid="b55">Mwanza et al., 2013;</xref> <xref ref-type="bibr" rid="b9">Allam et al., 2015</xref>).</p>
            </sec>
        </sec>
        <sec sec-type="conclusion">
            <title>CONCLUSION</title>
            <p>A best strategy to control mycotoxins is only by prevention, because most mycotoxins are chemically stable, so they remain unaffected during storage and processing. For this reason, we believed that by using a highly sensitivity and selectivity methods as molecular identification and bioinformatics characterizations of protein toxic gene for mycotoxins gives chance for production of antibody against its toxicity. This paper was show that molecular identification in <italic>Aspergillus flavus</italic>  in three isolates in small grains (rice and corn) with the epitope prediction analysis demonstrated that there were great differentiations in the epitope sequences among the three isolates except in four position (as described above) were found to be common between all isolates. This work articulates that the molecular identification and characterization of three <italic>A. flavus</italic>  using <italic>Aspergillus flavus</italic>  <italic>AFLR (aflR)</italic>  toxin gene and the unique antigenic determinants that could be used for design of a broadspectrum antibody for rapid detection of <italic>A. flavus</italic>  in foods and feeds that conducive to control in aflatoxin levels and cover prevention of mycotoxins.</p>
        </sec>
    </body>
    <back>
        <ack>
            <title>Acknowledgments:</title>
            <p>Deanship of Scientific Research; Princess Norah bent Abdurrahman University (PNU)- project No.KG/26362. The authors are grateful to Deanship of Scientific Research; PNU for financial support. And thanks for all technicians in Research Labe, Biology department, PNU.</p>
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