Next Article in Journal
The Primary Physiological Roles of Autoinducer 2 in Escherichia coli Are Chemotaxis and Biofilm Formation
Next Article in Special Issue
Effects of Durum Wheat Cultivars with Different Degrees of FHB Susceptibility Grown under Different Meteorological Conditions on the Contamination of Regulated, Modified and Emerging Mycotoxins
Previous Article in Journal
Persister Cells Form in the Plant Pathogen Xanthomonas citri subsp. citri under Different Stress Conditions
Previous Article in Special Issue
Conservation and Loss of a Putative Iron Utilization Gene Cluster among Genotypes of Aspergillus flavus
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Microorganisms
Volume 9
Issue 2
10.3390/microorganisms9020383
microorganisms-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Genetic Characterization of Fungal Biodiversity in Storage Grains: Towards Enhancing Food Safety in Northern Uganda

by
Godfrey Wokorach
1,2,*,
Sofie Landschoot
1,
Kris Audenaert
1,
Richard Echodu
2,3 and
Geert Haesaert
1
1
Department of Plants and Crops, Campus Schoonmeersen Building C, Faculty of Bioscience Engineering, Ghent University, Valentin Vaerwyckweg 1, B-9000 Ghent, Belgium
2
Multifunctional Research Laboratory, Gulu University, P.O. Box 166, Gulu, Uganda
3
Department of Biology, Faculty of Science, Gulu University, P.O. Box 166, Gulu, Uganda
*
Author to whom correspondence should be addressed.
Microorganisms 2021, 9(2), 383; https://doi.org/10.3390/microorganisms9020383
Submission received: 27 January 2021 / Revised: 8 February 2021 / Accepted: 11 February 2021 / Published: 14 February 2021
(This article belongs to the Special Issue Toxigenic Fungi and Mycotoxins: Ecology, Occurrence, and Prevention in a Climate Change Scenario)
Browse Figures
Versions Notes

Abstract

:
Worldwide fungal contamination leads to both quantitative and qualitative grain losses during crop growth and/or storage. A greater proportion of grains contamination with toxins often occurs in sub-Saharan Africa, where control measures are limited. We determined fungal diversity and their toxin production ability in household grains meant for human consumption to highlight the risk of mycotoxin exposure among people from northern Uganda. The study underlines the high diversity of fungi that group into 15 genera; many of which are plant pathogens with toxigenic potential. Fusarium verticillioides was the most common fungal species isolated from household grains. The study also indicates that northern Uganda is favored by a high proportion of toxigenic isolates of F. verticillioides, F. andiyazi, and F. proliferatum, which are characterized by a high fumonisins production capability. The fumonisins production ability was not dependent on the species, grain types, and haplotype group to which the isolates belong. The contamination of most household grains with fungi capable of producing a high amount of toxin shows that most people are exposed to an elevated amount of mycotoxins, which shows the frequent problems with mycotoxins that have been reported in most parts of sub-Saharan Africa.

1. Introduction

Crops are susceptible to infections by a variety of plant pathogens [1], of which fungi are the most widespread and destructive, infecting crops in the field and during storage [2,3]. Fungi are responsible for a wide range of serious plant diseases. Ear rot, mainly caused by Fusarium and Aspergillus species, is one example of a disease that constrains the production of cereals worldwide [4]. Besides crop losses, some fungal infections of field crops result in contamination of food/feed with mycotoxins during crop growth or storage [5]. Most field fungi continue to proliferate and multiply during storage owing to inappropriate storage conditions. In sub-Saharan Africa, the storage of grains is unavoidable to maintain a constant supply given the periodic production pattern [6]. Storage of grains in many rural African settings, typical of northern Uganda, comes with an elevated cost of grains contamination with fungi due to inappropriate storage structure [7]. The common grain storage structure comprises; sisal bags, pits, wood and wire cribs, wooden open-air, polythene bags, and heaping on floor [8]. Such a storage structure exposes grains to high humidity, storage pests (insects, mites, birds, rodents), and fungal contamination [9],⁠ which increases fungal diversity, proliferation, and toxin levels in stored cereal grains. Spoilage of grains with fungal toxins appears to increase when grains take longer within storage facilities in African settings [10]. As such, most grains produced in sub-Saharan Africa are often contaminated with mycotoxins besides severe yield losses caused by a fungal infection [11,12,13]. In east Africa, fatality due to dietary consumption of grains or grain-based products contaminated with aflatoxins is the highest in the world, ranging between 29% and 33% [14,15,16]. The overall damage to field crops and grains largely depends on the climate and prevailing weather conditions, which also influence the diversity and distribution of the fungi [17,18]. As such, the warm and humid conditions of northern Uganda would provide an ideal environment for the proliferation and multiplication of diverse fungal species.
Furthermore, global trade of agricultural products and trans-boundary traffic [1] contribute to the spread and distribution of diverse pathogenic and toxigenic fungal species. The penultimate consequence of fungal infection of crops and contamination of grains with toxins in sub-Sahara Africa are hunger, malnutrition, financial losses, poor health, and death of persons which need to be sorted urgently. Worldwide, several species of toxigenic and pathogenic fungi have been characterized. The characterization of fungal diversity and their distribution among household grains in Uganda is a worthwhile undertaking to improve food safety, given the high level of mycotoxins contamination of grains in Uganda [13,19,20]. The limited knowledge on the occurrence and distribution pattern of the different fungi in Uganda make the current crop protection and food safety regulation procedures fall short of many unidentified fungal pathogens, which may present a silent burden to farmers in terms of toxin contaminations of food and crop damage [21]. A deeper understanding of the fungal population and the influence of the environment and other factors is important for the implementation of good food safety measures in Uganda. Therefore, this study aimed at identifying fungi associated with storage grains in northern Uganda to help mitigate widespread crop losses and mycotoxins contamination of grains. In this study, we adopt molecular identification based on DNA sequencing of a partial fragment of internal transcribed spacer region (ITS) and translation elongation factor alpha1 (TEF-α1) gene [22,23,24] to gain insight into fungal genera and species associated with grains in northern Uganda. The translation elongation factor alpha1 genes have been proven to offer a good resolution to distinguish between fungal genera and species [22,25]. From the partial TEF-α1 nucleotide sequence, we determined the fungal species diversity associated with grains in northern Uganda, and measured genetic differentiation among isolates from Uganda and species reported in other countries to determine evidence of gene flow into Uganda. The potential of the fungi to produce mycotoxins was evaluated by PCR amplification and sequencing of the core genes involved in the toxin-production pathways. The ability of the fungi to produce mycotoxins was evaluated on growth media and quantified using the ELISA-method. Produced mycotoxin concentrations were compared to determine species associated with high mycotoxin production potential.

2. Materials and Methods

2.1. Description of Study Area

The study area was in the northern part of Uganda, bordered by South Sudan and the Democratic Republic of Congo (DRC). The total land area of northern Uganda is 85,391.7 km2, and most of the 7,188,139 people depend on agriculture [26]. The grains were collected from nine districts (Gulu, Nwoya, Kole, Oyam, Omoro, Lira, Kitgum, Pader, and Lamwo). A greater percentage of the farming population in northern Uganda are peasants who practice subsistence agriculture for livelihood requirements [27]. The major crops that support the calorie requirement of people of northern Uganda are maize, sorghum, millet, and groundnut [28]. The climate is structured in two seasons that determine the agricultural cycles of northern Uganda. The hot and dry season usually lasts from December to February due to dry air currents that come from the arid regions of Sudan and Eritrea. The dry season is marked with no or little precipitation and less active growing of crops. The rainy season starts in April and ends in October, it is less hot, but more humid due to moist air currents that come from DR Congo. The rainy season is characterized by high precipitation and the active growing of crops.

2.2. Sample Collection

The grains that were intended for domestic households’ consumption were collected from 380 different households spread across the nine districts in northern Uganda. The grains considered were from the five major cereal crops that are commonly grown in northern Uganda (maize, rice, sorghum, and millet) and peanut and sesame commonly used as a paste. From each household, approximately half a kilogram of each grain type/legume was collected. The samples were transferred into clean Ziploc and then shield. The Ziploc bag was labeled with a unique sample identifier code. All the samples were transported to Gulu University Multi-functional Research Laboratories for fungal isolation. The fungal isolates (n = 160) analyzed were distributed among the nine districts as follows: Gulu (n = 41), Nwoya (n = 37), Kole (n = 13), Oyam (n = 4), Omoro (n = 19), Lira (n = 22), Kitgum (n = 7), Pader (n = 12), and Lamwo (n = 5).

2.3. Isolation of Fungi from Grains

From each sample, five grains selected at random were disinfected with 70% alcohol for 3 min and rinsed with distilled water twice. Grains were transferred to Petri dishes containing Potato Dextrose Agar (PDA, 40 g/L) that was supplemented with penicillin V to prevent bacterial growth. The Petri dishes were incubated at room temperature until the fungal growth started. Petri dishes with no fungal growth were categorized as grains with no fungal contamination. Sub-culturing was done on a new PDA medium supplemented with penicillin V. The fungal isolates were transferred to liquid Potato Dextrose Broth (PDB, 24 g/L) and grown for 10 days to develop dense mycelium. The mycelium was harvested into 2 mL Eppendorf tubes and centrifuged at 12,000 rpm for two minutes. The supernatant, which largely contains the broth, was discarded, and the mass of mycelium pellet was kept. The mycelium pellet was frozen for 10 min at −80 °C and was lyophilized for 12 h.

2.4. DNA Extraction

The lyophilized mycelia were frozen in liquid nitrogen and ground into a powder with a micro pestle inside the 2 mL tubes. A total of 500 µL of CTAB buffer containing 1% of proteinase K enzyme was added to a 2 mL tube containing powder-like ground mycelium and mixed by brief vortexing. The mixture was incubated for one hour in a water bath set at 65 °C. Then 500 µL of chloroform:isoamyl alcohol (3:1) was added to the homogenate and incubated for 10 min. The mixture was centrifuged at 13,000 rpm for five minutes. From the upper aqueous phase; 300 µL were transferred into new 2 mL tubes. To precipitate the DNA, 300 µL of pre-chilled isopropanol kept at −20 °C was added and then mixed by inverting the tube slowly five times. The mixture was again centrifuged at 13,000 rpm for 15 min to pellet the DNA precipitate. The supernatant was discarded, and the pellet washed with 200 µL of 70% ethanol followed by centrifugation at 13,000 rpm for 2 min. The ethanol supernatant was again discarded, and the pellet was allowed to dry for 15 min. The dry pellet was dissolved in 50 µL of elution buffer.

2.5. PCR Reaction and Sequencing

For the PCR reaction, the primer set ITS4 (5′-TCC TCCGCTTATTGATATGC-3′) and ITS5 (5′-GGAAGTAAAAGTCGTAACAAGG-3′) designed from internal transcribed spacer region was used for classification of the fungal genera. Primer set EF1 (5′-ATGGGTAAGGARGACAAGAC-3′) and EF2 (5′-GGARGTACCAGTSATCATGTT-3′) that amplify part of translation elongation factor alpha1 gene was used for the classification of species [29]. Primers rp32 (5′-ACAAGTGTCCTTGGGGTCCAGG-3′) and rp33 (5′GATGCTCTTGGAAGTGGCCTACG-3′) were used for the detection of the FUM1 gene among Fusarium species [30]. Lastly, primer set 72F (5′-TACAGCTCTGGACGAAGTGTTCC-3′) and 726R (5′-GGCGCAGAAAGTAACAGCCA-3′) was used for the detection of the FUM3 gene among Fusarium species.
The PCR was run using the following composition of reagents: 5 µL GoTag PCR-buffer (5X), 1.25 µL dNTP (10 mM) solution mix, 1 µL (5 nM) forward primer, 1 µL (5 nM) reverse primer, 0.125 µL of GoTaq polymerase (5 U/µL), 2 µL DNA template, and 14.625 µL nuclease-free water. Amplifications were done using the following temperature conditions: 1 cycle of initial denaturation at 94 °C for 3 min; 35 cycles of actual denaturation at 94 °C for 1 min, primer annealing at 52 °C for 30 s, and extension at 72 °C for 45 s. Final extension at 72 °C for 5 min and reaction hold at 4 °C. The quality of the PCR product was evaluated on 1% agarose gel. The amplicon was purified using MicroElute® Cycle-Pure Kit (www.omegabiotek.com). The concentration of the amplicons was measured with a fluorometer and the concentration adjusted to the range of 10–30 ng/µL. The amplicons were sequenced using Sanger technology by LGC Genomics GmbH (Isabel Czeski, Ostendstrasse 25, TGS Haus 8, and 12,459 Berlin, Germany).

2.6. Sequence Processing and Analysis

The quality of the chromatograms was inspected in Mega X. Quality trimming was done at the beginning and the end of the sequence to remove sequencing primers and poor quality nucleotide base calls. Using the basic GenBank local alignment search tool program (Mega BLAST), the collected nucleotide sequences were searched against the NCBI database [31] to identify the collected fungi (high identity score and low e-value). Highly similar sequences present in the NCBI database were downloaded and used for comparative analysis against the sequences of isolates from this study (Supplementary Tables S1 and S2).

2.7. Phylogenetic Tree Construction

Multiple alignments were done using the ClustalW algorithm with a Gap Opening Penalty of 15.00 and Gap Extension Penalty of 6.66 in MegaX [32]. The best DNA/Protein model for the phylogenetic tree was selected based on the Automatic (neighbor-joining tree) and the maximum likelihood method of nucleotides substitution. The maximum likelihood phylogenetic trees were constructed in MegaX with a bootstrap value of 1050 replications.

2.8. Genetic Differentiation of the Fungi Using TEF-α1 Gene

Genetic differentiation for the different fungal species isolated from northern Uganda was analyzed using the TEF-α1 gene nucleotide encoding sequence, as it is considered highly informative among Fusarium [22]. Fixation indices (Fst) were used to determine genetic differentiation and gene flow between different populations and geographical regions. Fst values were defined as follows: Little genetic differentiation (Fst = 0–0.05), which indicate evidence of gene flow, moderate genetic differentiation (Fst = 0.05–0.15), great genetic differentiation (Fst = 0.15–0.25), and very great genetic differentiation (Fst > 0.25) [33]. The Fixation indices were determined between isolates derived from Uganda and those reported in other countries.

2.9. Haplotype Clustering

Population diversity was described by the number of haplotype groups using the nucleotide sequence of the TEF-α1 gene [34]. The haplotype was defined as a set of single nucleotide polymorphisms (SNPs) that occur in particular isolates or sub-groups and were calculated using DnaSP v.5 (University of Barcelona, Catalonia, Spain) [35,36]. The frequency of occurrence of the different haplotypes associated with the Uganda population and other countries based on TEF-α1 was determined and represented as bar charts. The diversity within the species was determined by the number of haplotype groups the isolates were able to form. The genetic relationship between Ugandan isolates and those derived from other countries was compared when the isolates from both countries cluster in the same haplotype group. The geographical distribution of haplotypes was classified as limited when the isolates of a given haplotype group only occur in Uganda or a particular country. The haplotype group was classified as having wider geographical distribution when the isolates that make up the haplotype group occur both in Uganda and other countries.

2.10. Detection of Fumonisin Gene Cluster among Fusarium Isolates

The genetic potential of the fungi to produce fumonisins was determined by amplifying and sequencing the FUM1 and FUM3 gene clusters. Isolates with amplification were recorded as having the gene. No amplification indicates the absence of the genes. The amplicons were clean and sequenced using Sanger sequencing technology. The sequences were searched against the NCBI database to confirm that the amplified sequences correspond to the fumonisins’ gene cluster.

2.11. Mycotoxins Extraction and Quantifications

The fungi were grown in PDA for 20 days. The content of the petri dish (mycelium + agar) was transferred into a bottle containing 50 mL of 70% methanol (70 mL methanol: 30 mL water) and vigorously shaken for three minutes. It was allowed to settle for five minutes and filtered with Whatman number 1 filter paper. Fumonisins concentration were quantified using an ELISA kit of Romer Labs® Division Holding GmbH (Erber Campus 1, 3131 Getzersdorf, Austria). The AgraQuant® fumonisin ELISA test kit used was designed for simultaneous quantitative analysis of fumonisins (B1, B2, and B3). The kit had a limit of detection of 0.20 mg/kg. The ELISA plate was read with a Multiskan ELISA reader with filters set at 630 nm and 450 nm wavelength. The results were calculated using the Romer Labs® spreadsheet that uses the Log/Logit regression model to make a calibration curve with the absorbance reading and concentration of the standard solutions. The concentration of fumonisins produced by each isolate was calculated by interpolation from the calibration curve. Fumonisins concentrations below the limit of detection (LOD) were scored as negative, and those with detectable concentration were scored as positive.

2.12. Data Analysis

Prevalence of the different fungal genera and species occurring in grains was used to determine fungal species commonly infecting grains in northern Uganda. The prevalence per grain type was calculated as the number of fungal species/genera detected divided by the total number of fungal species/genera that were recovered and then multiplied by 100. Chi-square was used to determine whether genetic differentiation between the Fusarium isolates from Uganda and those isolates reported in other countries truly exists at a significant level of 0.05. Similarly, chi-square was used to test whether the proportion of Fusarium isolates with fumonisins gene clusters (FUM1 and FUM3) was more than isolates without fumonisins gene clusters at a significant level of 0.05. The normality of the fumonisins concentrations produced by the Fusarium species in media was tested using the Shapiro–Wilk test at a significance level of 0.05. Kruskal–Wallis test was used to test for the differences in fumonisins concentration produced by the three Fusarium species (F. verticillioides, F. andiyazi, and F. proliferatum) since the dataset did not meet the normality assumption. The level of significance was 5% (p < 0.05) for the statistical tests done. All the statistical analyses were done in R-Studio v4.0 (RStudio, PBC, Boston, MA, USA).

3. Results

3.1. Fungal Genera and Species Associated with Cereal Grains in Northern Uganda

A total of 160 isolates were amplified with ITS. The nucleotide sequences of the internal transcribed spacer region group the isolates into 15 fungal genera (Table 1). The majority of the isolates (n = 85, 51.25%) were of the genus Fusarium. Bipolaris was the second most common (n = 18, 11.25%) fungal genus associated with grains in Uganda. Among the isolates, 8.13% (n = 13) were classified as Curvularia. The proportion of isolates classified as Epicoccum was 7.50% (n = 12). Five percent (n = 8) of the isolates were a member of the genus Lasiodiplodia. Three of the isolates belonged to the genus Macrophomina. Some other genera were only marginally present (frequencies of less than 1%) (Table 1).
A total of n = 96 (60%) of the 160 isolates were amplified with TEF1-α primers for further identification, n = 64 (40%) isolates did not amplify for TEF1-α. The genera that did not amplify with TEF1-α were Curvularia, Bipolaris, Epicoccum, Cladosporium, and Lasiodiplpdoa. Characterization of the isolates using TEF1-α identified Fusarium verticillioides as the most common (n = 32, 20.00%) Fusarium species associated with grains in Uganda. Fusarium incarnatum was the second most frequent Fusarium species (n = 21, 13.13%) that was isolated from the grains. The proportions of F. andiyazi and F. equiseti were 11.25% and 6.88%, respectively (n = 18, n = 11). Other Fusarium species isolated were F. thapsinum (n = 2, 1.25%), F. proliferatum (n = 2, 1.25%), and F. solani (n = 4, 2.50%). Trichoderma gamsii (n = 1) and Aspergillus flavus (n = 1) only marginally occurred in the fungal population.

3.2. Distribution of the Fungi among the Different Grain Types

Fusarium verticillioides (13.04%) and F. andiyazi (7.45%) were the most common fungi isolated from maize grains. For sorghum grains, most of the fungi isolated were identified as F. incarnatum (4.97%) and F. verticillioides (3.11%). F. incarnatum (3.11%) was also the most common fungus isolated from millet grains, followed by F. verticillioides (1.24%) and F. proliferatum (1.24%). Note that F. proliferatum was only isolated from millet grains. Fusarium equiseti (3.73%) and F. solani (1.86%) were isolated from peanut. F. solani was only detected with minimal frequency in maize (0.62%). Similarly, F. thapsinum occurred at a minimal frequency in simsim (0.62%) and sorghum (0.62%) (Table 2).

3.3. Genetic Differentiation between Isolates from Uganda and Isolates Reported in Other Countries

The isolates were compared with those derived from other countries to determine the extent of genetic differentiation between Ugandan isolates and isolates reported in other countries. The study indicates strong evidence of high genetic differentiation among the F. verticillioides isolates from Uganda and isolates derived from other countries (Table 3). In addition, the genetic differentiation observed between isolates of F. verticillioides from this study (n = 29) and isolates from eastern Uganda (n = 20) obtained from the NCBI database was high (Fst = 0.11366, p = 0.0672). A similar trend was observed for genetic differentiation (Fst = 0.12586, p = 0.0029) for F. verticillioides isolates from the neighboring country, Kenya (Table 3). The observed genetic differentiation (Fst = 0.01764, p = 0.0853) between F. verticillioides from China and isolates from Uganda was significantly low. In contrast, the genetic differentiation of Fusarium isolates from most countries: Japan (Fst = 0.43, p = 0.0001), India (Fst = 0.21, p = 0.00), and the USA (Fst = 0.12078, p = 0.0013), with Ugandan isolates was high, which indicates evidence of limited gene flow between Uganda and these countries. Among the F. andiyazi, F. equiseti, and F. incarnatum isolates, none of the selected countries had evidence of gene flow with Ugandan isolates since a high genetic differentiation supported with a significant p-value for markers that define the differences among the isolates was observed (Table 3).

3.4. Haplotype Structure of Fusarium Species in Uganda Relative to Other Countries

The evolutionary pattern of Fusarium species was determined by the haplotype structure, based on TEF1-α, of the Fusarium species isolated in Uganda relative to those from other countries. The result indicates that F. verticillioides isolates from Uganda (n = 47) were structured into five haplotype groups (Figure 1). Equally maximum likelihood phylogenetic tree clusters all the F. verticillioides isolates from Uganda into five clusters (Figure S1). Isolates from China (n = 13) and Spain (n = 18) had the highest number of haplotypes, 8 and 6, respectively, whereas all the isolates from Italy (n = 7) obtained from NCBI were homogenous and belonged to only one haplotype. Some haplotypes showed a limited geographical distribution within one or two countries only. For example, haplotype 6 and haplotype 2 of F. verticillioides showed a limited geographical distribution outside Uganda, whereas other haplotypes were found to occur in multiple countries (Figure 1 and Figure S2). The majority (n = 71) of the isolates of the F. verticillioides group were in haplotype 1, and it was the only haplotype group with the widest geographical distribution worldwide, including Uganda. Some countries that share haplotype 1 were: Uganda (n = 12), the USA (n = 7), Spain (n = 12), Kenya (n = 7), and China (n = 3).
For F. andiyazi, haplotype grouping indicated that the Ugandan isolates were different from isolates found in other countries. F. andiyazi isolates from Uganda were structured into eight different haplotype groups, and each of the haplotype groups had limited occurrence outside Uganda (Figure 1). In addition, the haplotypes of F. andiyazi for sequences derived from Brazil, China, and the USA show restricted distribution, just like what was observed for Ugandan isolates. Haplotype 9 of Fusarium andiyazi had a relatively wider geographical distribution as species belonging to this haplotype occur in Australia, Argentina, the USA, and Nigeria excluding Uganda. Fusarium equiseti; isolates originating from Italy (n = 12) showed the highest diversity, as they group into ten different haplotype groups compared with isolates derived from Uganda (n = 10) that were structured in only three haplotype groups. The three haplotype groups of F. equiseti (haplotype 22, haplotype 23, and haplotype 24) that occur in Uganda show limited distribution outside Uganda (Figure 1). Haplotype 22 of F. equiseti was the most common group associated with grain in Uganda, while the isolates belonging to haplotype groups (haplotype 23 and 24) were only marginally detected. The Ugandan isolates of F. incarnatum (n = 20) were also structured into three haplotypes (haplotype 19, 20, and 21). The majority of the isolates of F. incarnatum from Uganda belong to haplotype 19 (n = 18) while the other two haplotype groups (haplotype 20 and 21) were marginally represented. None of the F. incarnatum isolates reported in other countries were found to group with the three haplotype groups that occur in Uganda (Figure 1).

3.5. Detection of Fumonisins Gene Clusters (FUM1 and FUM3) among Fusarium Isolates

Fumonisins gene clusters (FUM1 and FUM3) were amplified and sequenced to determine fumonisins production potential of the isolates from northern Uganda. Both FUM1 and FUM3 genes were detected within the three Fusarium species (F. verticillioides, F. andiyazi, and F. proliferatum). The proportion of F. verticillioides isolates with the FUM1 gene (96.88%, n = 31) was significantly (X2 = 26.28, p = 2.95 × 10−7) higher than the proportion of isolates without the FUM1 gene (3.12%, n = 1) (Table 4). The same was observed for the FUM3 gene within the F. verticillioides population. All the isolates of F. proliferatum 100% (n = 2) were found to have both the FUM1 and FUM3 gene cluster. The difference in the proportion of isolates with FUM1 gene 61.11% (n = 11) and those without the FUM1 gene among F. andiyazi was not significant (X2 = 0.5, p = 0.47). The proportion of F. andiyazi with FUM3 gene 50% (n = 9) was equal to the proportion of isolates without the FUM3 gene (Table 4).

3.6. Genetic Variability within Fumonisin Gene Clusters (FUM1 and FUM3)

The phylogenetic tree shows a divergence in the FUM1 gene among the F. verticillioides, F. proliferatum, and F. andiyazi isolates. Based on FUM1, both F. verticillioides and F. andiyazi appear to have a monophyletic origin that is distantly related to F. proliferatum (Figure 2A). Within the F. verticillioides and F. andiyazi main cluster (cluster I), there were three distinct sub-groups. The first subgroup had isolates only for F. verticillioides. The second subgroup had isolates from both F. verticillioides (UgC08) and F. andiyazi (UgG05, UgE01, and UgD12). The last subgroup within cluster I only had isolates of F. andiyazi (UgB02, UgD06, and UgE05). The genetic distance within the FUM1 gene between F. verticillioides and F. andiyazi (0.027) was lower than the genetic distance between F. proliferatum and F. verticillioides (0.153). Similarly, the genetic distance between F. verticillioides and F. andiyazi was lower than the observed genetic distance between F. proliferatum and F. andiyazi (0.149) within the FUM1 gene. Multiple alignments of FUM1 gene nucleotide sequences of isolates of both F. verticillioides, F. andiyazi, and F. proliferatum indicate deletion of four nucleotide fragments associated with F. proliferatum only (Figure S3). For the FUM3 gene, there was no clear separation between F. verticillioides and F. andiyazi (group I). However, isolates of F. proliferatum (UgA12 and UgD10) cluster together separately from F. verticillioides and F. andiyazi isolates (Figure 2B).

3.7. Mycotoxin Production Capability of the Fusarium Isolates

The majority of the isolates produced a high quantity of fumonisins in growth media. The proportion of F. verticillioides (88.46%, n = 23) that was able to produce fumonisins was significant (X2 = 13.88, p = 0.0001), higher than the proportion of F. verticillioides that was not able to produce fumonisins (11.53%, n = 3). The three isolates not capable of producing fumonisins were UgB08, UgA03, and UgD01. All the F. proliferatum 100% (n = 2) isolates were capable of producing fumonisins in PDA media. Among the F. andiyazi population tested, a greater proportion (87.5%, n = 7) of the isolates produced fumonisins in media, and only one isolate of F. andiyazi tested did not produce fumonisins in the media (Figure 3).
Mean fumonisins concentrations produced by F. andiyazi and F. verticillioides were higher than mean fumonisins concentrations produced by isolates of F. proliferatum. However, the difference in the concentration of fumonisins produced by three Fusarium species was not statistically significant (X2 = 3.24, p = 0.20). In terms of the level of fumonisins production, isolate UgB06 of species F. verticillioides produced the most fumonisins (9.009 mg/kg). Among the F. verticillioides capable of producing fumonisins, three isolates (UgF09, UgA01, and Ug11) produced low amounts of fumonisins (less than 5 mg/kg) whereas the majority of the isolates had a production level exceeding 5 mg/kg. Among F. andiyazi, two isolates (UgH01 and UgD09) had fumonisins production levels below 5 mg/kg. The fumonisins production capability of F. verticillioides was not dependent on the grain type from which they were isolated (X2 = 4.0, p = 0.55) (Figure 4). Similarly, the fumonisins production was not dependent on the haplotype group of the F. verticillioides isolates as no significant differences (X2 = 6.38, p = 0.17) in fumonisins concentrations between the five haplotype groups were observed (Figure 4).

4. Discussion

To assess the risk of mycotoxin contamination of grains in Uganda (northern Uganda) fungi were isolated from grains collected from different households. A total of 160 isolates were characterized based on both the ITS and TEFα-1 gene region. The result indicates the occurrence of many fungal genera and species on grains intended for human consumption in Uganda. Fusarium species were most frequently isolated, followed by fungi belonging to the genera Curvularia and Bipolaris. Both Curvularia and Bipolaris are crop pathogens that result in significant crop losses globally every year [37,38]. Although they are regarded as plant pathogens, information on their occurrence and extent of damage to cereal production in Uganda is limited. The extent of crop losses due to Curvularia in Uganda might exceed those reported in developed countries given the high prevalence as detected in this study. Both Bipolaris and Curvularia appeared to be associated with most grains commonly grown (maize, millet, rice, and sorghum) in northern Uganda. This might indicate that many people are at risk of utilizing grains contaminated with Curvularia derived mycotoxins such as methyl-5-(hydroxymethyl) furan-2-carboxylate produced by curvularia lunata [39] coupled with other mycotoxins such as aflatoxins, which are already known to be common in grain-based food in Uganda. This study, therefore, provides a background for the need to determine dominant curvularia species and profile crop losses due to Curvularia and Bipolaris infection and the occurrence of the Curvularia derived toxins in human diets in northern Uganda to improve food safety. The non-amplification of Curvularia, Bipolaris, and several other fungal genera with TEFα-1 gene primers pairs (EF1 and EF2) need to be further explored.
Fusarium species, considered the most destructive pathogens of plants [40,41,42], were the most common fungi occurring in maize, sorghum, millet, peanut, and rice in northern Uganda. Among the Fusarium genus, F. verticillioides had the highest frequency of occurrence. This species was isolated from maize, millet, sorghum, and peanut, underscoring its broad host range as reported in other studies [43]. Among the diseases caused by F. verticillioides, ear rots and stalk rot in maize, sorghum, and millet [44], and root rot in peanut [45], are the most important. The frequent occurrence of F. verticillioides highlights the burden of the diseases in grain production among farmers in Uganda. The fungi were isolated from household grains that are sometimes used as seeds by the majority of farmers according to traditional means of seed acquisition. Such grains, which are contaminated with Fusarium, may play a critical role in the spread of fungi to new cereal fields among local farmers when used as seeds [46]. The use of clean grains would help to minimize the perpetuation and spread of Fusarium. Besides the spread of Fusarium by seeds, some Fusarium strains can survive for years on crop debris left in the fields and become an important source of inoculum to new crops in the following growth season [47]. Managing crop residues and use of clean seeds is a very important approach in the control of Fusarium infections and their associated mycotoxins. Practices such as burning or burying crop residues by deep ploughing during land preparation would reduce Fusarium inoculum for the subsequent crop [48]. Furthermore, irrigation, crop rotation farming, and use of recommended fertilizer were shown to lower the damage associated with Fusarium fungi in the field [49]. The high occurrence of Fusarium among household grains is an indication of a deficit in the implementation of best practices that reduced Fusarium load in the field among farmers of northern Uganda. Despite the low occurrence of Aspergillus flavus among the isolates analyzed, aflatoxin has been demonstrated to be common among grains in Uganda and is considered a major mycotoxin that consistently contaminates grains in Uganda [13,19].
The Fusarium species that were isolated from Uganda were not closely related to species that were reported in other countries when compared using TEF-α1 partial gene sequence. In particular, F. verticillioides isolates derived from Europe, Japan, and Australia showed high genetic differentiation with isolates derived from Uganda. This finding suggests that Europe and other countries have limited gene flow with Uganda and might offer little threat of introducing Fusarium strains into Uganda’s cereal production system. Contrary to what was observed for other countries, our results indicate low genetic differentiation between isolates of F. verticillioides from Uganda and isolates reported in China within the TEF-α1 gene. The reason for this close relationship between the F. verticillioides from Uganda and China is not clear, and probably the use of many gene loci would give a better understanding of the relationship between isolates from the two countries. We also noticed moderate genetic differentiation between Ugandan isolates (collected in 1997) from eastern Uganda [34] and isolates from northern Uganda (collected in 2018) for this study, which could be due to temporal lapse and differences in the agro-ecological zone.
For Uganda, the F. verticillioides population groups into five different haplotype groups based on the TEF-α1 gene, which confirmed earlier reports that indicate five haplotype groups in Uganda [34]. We can now deduce that there are five lineages or phylogroups of F. verticillioides associated with cereal grains in Uganda as shown in this and previous studies base on TEF-α1 gene. Based on the TEF-α1 sequences from F. verticillioides derived from many countries; they grouped into many haplotypes and some haplotype groups appeared to be localized only in some countries, while other haplotype groups occurred in many countries. For example, haplotype 6 seemed to occur only in Uganda, whereas haplotype 1 occurs in many countries with the highest frequency relative to other haplotype groups. Haplotype 1 appears to be the dominant haplotype of F. verticillioides, adapted to survive in a broad range of climates, but some underwent local diversification in different geographical areas to give rise to other haplotype groups that now show limited geographical dispersion. Ugandan populations of F. andiyazi had the highest intra-species diversity and divergence from populations in other countries, which correlate to what was observed with genetic differentiation between Ugandan isolates and those reported elsewhere. The F. andiyazi isolates from Uganda cluster into eight haplotypes representing the most diverse Fusarium species associated with grains in Uganda. None of the Ugandan isolates belong to haplotype groups detected in other countries, whereas haplotype 9 of F. andiyazi appeared to be the dominant group occurring in many countries excluding Uganda. The limited occurrence of Ugandan haplotypes elsewhere show a limited interaction of Ugandan isolates of F. andiyazi with other countries and suggests that the genetic structure and diversity within Uganda is largely shaped by selection pressure in the farming atmosphere relative to gene flow. The ubiquitous F. equiseti isolates were divided only into three haplotype groups and appear to be less diverse within TEF-α1 gene compared to isolates reported in other geographical areas [50]. The dominant group of F. equiseti in northern Uganda are those belonging to haplotype 22. The three isolates of F.equiseti (UgF02, UgF11, and UgG02) with a unique variant of the nucleotides contrary to the dominant haplotype 22 group could represent different lineages that are marginally occurring within Uganda. As well, the F. incarnatum isolates in Uganda were less diverse, with only three haplotype groups just like F.equiseti. Generally, F. verticillioides’ haplotype groups detected in Uganda show wider geographical distribution in contrast to what was observed for the species of F. andiyazi and F. equiseti, in which all the haplotypes detected in Uganda were found not to occur in other countries. On the other hand, F.equiseti and F. incarnatum associated with grains in Uganda appear to be less diverse, as both showed a limited number of haplotype groups compared to F. andiyazi and F. verticillioides, which show high diversity with a relatively high number of haplotype groups.
The ability of the Fusarium species to produce fumonisins was analyzed by identifying two genes involved in the fumonisin metabolic pathway (FUM1 and FUM3) [51]. The occurrence of the fumonisins gene cluster in F. verticillioides isolates was high compared to the occurrence in F. andiyazi, which suggests that F. verticillioides could be the major fungus associated with fumonisins contamination of grains in northern Uganda. The non-detection of FUM1 and FUM3 in some isolates might be due to a mutation that alters the open reading frame of the gene [52,53] or due to a deletion of the gene. Such differences can be revealed through high-throughput sequencing or long-read sequencing that cover the entire gene. Detection of the fumonisins gene cluster was validated by quantification of fumonisins production of the isolates on potato dextrose agar. The findings indicate that the majority of isolates of F. verticillioides, F. andiyazi, and F. proliferatum isolated from northern Uganda were able to produce fumonisins. The fumonisins production did not depend on the F. verticillioides haplotype nor on the isolation source, which is in contrast to what was observed in other countries [54]. This implies that all the cereal grains are highly susceptible to fumonisins contamination and that all haplotype groups are equally potent fumonisins producers. As well, no significant differences in the concentration of fumonisins produced by the three species of Fusarium were observed, which implies the various species present a similar magnitude of threat in regard to food safety in northern Uganda and other places that rely on cereal grains produced from the area. The high prevalence of fumonisins producing isolates among household grains may correlate to their abundance in the farmers’ crop field which present significant threat in term of crop damage and toxins. The occurrence of the fungi in all the grain types means that they are widely spread among staple grains produced in Uganda. As the majority of the people rely on these cereals (maize, millet, and sorghum); it indicates a high level of exposure to fumonisins among people in this area through dietary consumption of grains. As the isolates produce a vast amount of fumonisins within a short period, it might reveal that the majority of grains get contaminated at a level above the recommended tolerable limit of 1 μg/kg.bw [55] given the widespread poor pre- and post-harvest practices that are among the farmers. The contamination of grains with fumonisins not only causes a health burden to the consumers of the grains, but also reduces access to cereal grains to better markets, which exacerbates poverty among the people. The high incidence of fumonisins producing isolates might be due to their competitive advantage over the atoxigenic variants within the agricultural production area of northern Uganda. Intensive cultivation of staple crops (maize, millet, and sorghum) by the majority of people coupled with poor farming practices supports the proliferation and multiplication of Fusarium species. However, the underlying mechanisms supporting the high incidence of toxigenic Fusarium isolates need to be further investigated as to whether it comes from poor farming practices or whether it is driven by climate conditions. It has been observed that mycotoxigenic fungi are favored by warm and humid climates [56], which are prevailing in northern Uganda. To control the already high Fusarium contamination of grains observed in northern Uganda; crop rotation, deep ploughing, crop residue management, and timely harvest are some management strategies that appear to be affordable to resource-constrained farmers, and they must be encouraged to adopt these practices.
Interspecies polymorphisms of the fumonisins biosynthesis genes show a less divergence of those genes between the F. verticillioides and F. andiyazi compared to F. proliferatum, which correlates with the low nucleotide diversity between the two species based on the TEFα1 gene. Amplification and sequencing of FUM1 and FUM3 gene clusters offer an alternative that can be used in the identification, and discrimination of F. verticillioides and F. proliferatum in addition to the established TEF1-α method.

5. Conclusions

The predominant fungal genus found in northern Uganda was Fusarium, and within this genus, F. verticillioides was the most frequent species. Most of the grain types were infected with Fusarium isolates capable of producing high amounts of fumonisins, which lower the quality of grains used as food in Uganda and consequently, presenting a health burden. Moreover, this study provides evidence that genetic differentiation between the isolates from Uganda and those from other countries is very high, and there seems to be no genetic movement. However, we found a novel haplotype that showed restricted geographical distribution within Uganda only. The frequent occurrence of genes associated with mycotoxin indicates that the majority of the isolates in northern Uganda are capable of producing mycotoxins. The high occurrence of mycotoxin producing isolates is an indication of the contamination of grains with fumonisins and also the potential presence of other mycotoxins that were not evaluated.

Supplementary Materials

The following are available online at https://www.mdpi.com/2076-2607/9/2/383/s1.

Author Contributions

Conceptualization, G.H., R.E., and K.A; methodology, G.H., R.E., and K.A.; validation, S.L.; formal analysis, G.W., and S.L.; investigation, G.W.; resources, G.H., R.E. and K.A.; data curation, G.W. and S.L.; writing—original draft preparation, G.W.; writing—review and editing, G.W. and S.L.; visualization, S.L.; supervision, G.H., R.E. and K.A.; project administration, G.H. and R.E; funding acquisition, G.H., R.E. and K.A. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by VLIR-UOS, grant number: UG2018TEA476A103 and the APC was funded by VLIR-UOS. The grant was awarded to Professor Geert Haesaert of Ghent University under the project title “Holistic approach to combat mycotoxin in northern Uganda”.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study (farmers who gave grain samples).

Data Availability Statement

All the nucleotide fasta sequences were submitted to the NCBI database (www.ncbi.nlm.nih.gov) and can be retrieve through the accession numbers found in excel files attached to this manuscript.

Acknowledgments

We acknowledge the contribution of Ocaya Moses, Opwonya Maxwell, Kamali Emmanuel, and Anena Juliet toward sample collection and sample processing.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Oliveira, P.M.; Zannini, E.; Arendt, E.K. Cereal fungal infection, mycotoxins, and lactic acid bacteria mediated bioprotection: From crop farming to cereal products. Food Microbiol. 2014, 37, 78–95. [Google Scholar] [CrossRef]
  2. Choi, J.-H.; Lee, S.; Nah, J.-Y.; Kim, H.-K.; Paek, J.-S.; Lee, S.; Ham, H.; Hong, S.K.; Yun, S.-H.; Lee, T. Species composition of and fumonisin production by the Fusarium fujikuroi species complex isolated from Korean cereals. Int. J. Food Microbiol. 2018, 267, 62–69. [Google Scholar] [CrossRef]
  3. Xu, X.; Nicholson, P.; Ritieni, A. Effects of fungal interactions among Fusarium head blight pathogens on disease development and mycotoxin accumulation. Int. J. Food Microbiol. 2007, 119, 67–71. [Google Scholar] [CrossRef]
  4. Bottalico, A.; Perrone, G. Toxigenic Fusarium species and mycotoxins associated with head blight in small-grain cereals in Europe. Eur. J. Plant Pathol. 2002, 108, 611–624. [Google Scholar] [CrossRef]
  5. Yard, E.E.; Daniel, J.H.; Lewis, L.S.; Rybak, M.E.; Paliakov, E.M.; Kim, A.A.; Montgomery, J.M.; Bunnell, R.; Abudo, M.U.; Akhwale, W.; et al. Human aflatoxin exposure in Kenya, 2007: A cross-sectional study. Food Addit. Contam. Part A 2013, 30, 1322–1331. [Google Scholar] [CrossRef]
  6. Kumar, D.; Kalita, P. Reducing postharvest losses during storage of grain crops to strengthen food security in developing countries. Foods 2017, 6, 8. [Google Scholar] [CrossRef] [Green Version]
  7. Subramanyam, B.; Mahroof, R.; Brijwani, M. Heat treatment of grain-processing facilities for insect management: A historical overview and recent advances. Stewart Postharvest Rev. 2011, 7, 1–11. [Google Scholar] [CrossRef] [Green Version]
  8. Wambugu, P.; Mathenge, P.; Auma, E.O.; van Rheenen, H.A. Efficacy of traditional maize (Zea mays L.) seed storage methods in western Kenya. Afr. J. Food Agric. Nutr. Dev. 2009, 9, 1110–1128. [Google Scholar] [CrossRef] [Green Version]
  9. Abass, A.B.; Ndunguru, G.; Mamiro, P.; Alenkhe, B.; Mlingi, N.; Bekunda, M. Post-harvest food losses in a maize-based farming system of semi-arid savannah area of Tanzania. J. Stored Prod. Res. 2014, 57, 49–57. [Google Scholar] [CrossRef] [Green Version]
  10. Manjula, K.; Hell, K.; Fandohan, P.; Abass, A.; Bandyopadhyay, R. Aflatoxin and fumonisin contamination of cassava products and maize grain from markets in Tanzania and republic of the Congo. Toxin Rev. 2009, 28, 63–69. [Google Scholar] [CrossRef]
  11. Kamala, A.; Ortiz, J.; Kimanya, M.E.; Haesaert, G.; Donoso, S.; Tiisekwa, B.; De Meulenaer, B. Multiple mycotoxin co-occurrence in maize grown in three agro-ecological zones of Tanzania. Food Control. 2015, 54, 208–215. [Google Scholar] [CrossRef]
  12. Mutiga, S.K.; Hoffmann, V.; Harvey, J.W.; Milgroom, M.G.; Nelson, R.J. Assessment of aflatoxin and fumonisin contamination of maize in western Kenya. Phytopathology 2015, 105, 1250–1261. [Google Scholar] [CrossRef] [Green Version]
  13. Wokorach, G.; Landschoot, S.; Anena, J.; Audenaert, K.; Echodu, R.; Haesaert, G. Mycotoxin profile of staple grains in northern Uganda: Understanding the level of human exposure and potential risks. Food Control. 2021, 122, 107813. [Google Scholar] [CrossRef]
  14. Azziz-Baumgartner, E.; Lindblade, K.; Gieseker, K.; Rogers, H.S.; Kieszak, S.; Njapau, H.; Schleicher, R.; McCoy, L.F.; Misore, A.; DeCock, K.; et al. Case-control study of an acute aflatoxicosis outbreak, Kenya. Environ. Health Perspect. 2005, 113, 1779–1783. [Google Scholar] [CrossRef]
  15. Kamala, A.; Shirima, C.; Jani, B.; Bakari, M.; Sillo, H.; Rusibamayila, N.; De Saeger, S.; Kimanya, M.; Gong, Y.; Simba, A.; et al. Outbreak of an acute aflatoxicosis in Tanzania during 2016. World Mycotoxin J. 2018, 11, 311–320. [Google Scholar] [CrossRef]
  16. Serck-Hanssen, A. Aflatoxin-induced fatal hepatitis? Arch. Environ. Health Int. J. 1970, 20, 729–731. [Google Scholar] [CrossRef]
  17. Bernhoft, A.; Torp, M.; Clasen, P.E.; Løesk, A.K.; Kristoffersenk, A.B. Influence of agronomic and climatic factors on Fusarium infestation and mycotoxin contamination of cereals in Norway. Food Addit. Contam. Part A Chem. Anal. Control Expo. Risk Assess. 2012, 29, 1129–1140. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  18. Bandyopadhyay, R.; Ortega-Beltran, A.; Akande, A.; Mutegi, C.; Atehnkeng, J.; Kaptoge, L.; Senghor, A.; Adhikari, B.; Cotty, P. Biological control of aflatoxins in Africa: Current status and potential challenges in the face of climate change. World Mycotoxin J. 2016, 9, 771–789. [Google Scholar] [CrossRef] [Green Version]
  19. Echodu, R.; Malinga, G.M.; Kaducu, J.M.; Ovuga, E.; Haesaert, G. Prevalence of aflatoxin, ochratoxin and deoxynivalenol in cereal grains in northern Uganda: Implication for food safety and health. Toxicol. Rep. 2019, 6, 1012–1017. [Google Scholar] [CrossRef]
  20. Kaaya, A.N.; Harris, C.; Eigel, W. Peanut aflatoxin levels on farms and in markets of Uganda. Peanut Sci. 2006, 33, 68–75. [Google Scholar] [CrossRef] [Green Version]
  21. Olewnik, M. FSMA: Regulating prevention, detection and response, and imported foods. Cereal Foods World 2012, 57, 111–114. [Google Scholar] [CrossRef]
  22. Geiser, D.M.; Jiménez-Gasco, M.D.M.; Kang, S.; Makalowska, I.; Veeraraghavan, N.; Ward, T.J.; Zhang, N.; Kuldau, G.A.; O’donnell, K. FUSARIUM-ID v. 1.0: A DNA sequence database for identifying Fusarium. Eur. J. Plant Pathol. 2004, 110, 473–479. [Google Scholar] [CrossRef]
  23. Funnell-Harris, D.L.; Sattler, S.E.; O’Neill, P.M.; Eskridge, K.M.; Pedersen, J.F. Effect of waxy (low amylose) on fungal infection of sorghum grain. Phytopathology 2015, 105, 786–796. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Schoch, C.L.; Seifert, K.A.; Huhndorf, S.; Robert, V.; Spouge, J.L.; Levesque, C.A.; Chen, W.; Bolchacova, E.; Voigt, K.; Crous, P.W.; et al. Nuclear ribosomal internal transcribed spacer (ITS) region as a universal DNA barcode marker for Fungi. Proc. Natl. Acad. Sci. USA 2012, 109, 6241–6246. [Google Scholar] [CrossRef] [Green Version]
  25. Amatulli, M.T.; Spadaro, D.; Gullino, M.L.; Garibaldi, A. Conventional and real-time PCR for the identification of Fusarium fujikuroi and Fusarium proliferatum from diseased rice tissues and seeds. Eur. J. Plant Pathol. 2012, 134, 401–408. [Google Scholar] [CrossRef]
  26. Uganda Bureau of Statistics. National Population and Housing Census 2014—Main Report; Bureau of Statistics: Kampala, Uganda, 2014; pp. 1–209. [Google Scholar]
  27. Levine, S. Poverty and Human Development in Northern Uganda: Notes for the Development Partners Group for Northern Uganda Recovery and Development; UNDP: Kampala, Uganda, 2009. [Google Scholar]
  28. Ssewanyana, S.; Kasirye, I. Food security in Uganda: A dilemma to achieving the millennium development goal. No. 677-2016-46693. Res. Ser. 2010. [Google Scholar] [CrossRef]
  29. O’Donnell, K.; Kistler, H.C.O.; Cigelnik, E.L.; Ploetz, R.C. Multiple evolutionary origins of the fungus causing Panama disease of banana: Concordant evidence from nuclear and mitochondrial gene genealogies. Proc. Natl. Acad. Sci. USA 1998, 95, 2044–2049. [Google Scholar] [CrossRef] [Green Version]
  30. Proctor, R.H.; Plattner, R.D.; Brown, D.W.; Seo, J.-A.; Lee, Y.-W. Discontinuous distribution of fumonisin biosynthetic genes in the Gibberella fujikuroi species complex. Mycol. Res. 2004, 108, 815–822. [Google Scholar] [CrossRef]
  31. Camacho, C.; Coulouris, G.; Avagyan, V.; Ma, N.; Papadopoulos, J.S.; Bealer, K.; Madden, T.L. BLAST+: Architecture and applications. BMC Bioinform. 2009, 10, 421. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  32. Kumar, S.; Stecher, G.; Tamura, K. MEGA7: Molecular Evolutionary Genetics Analysis version 7.0 for bigger datasets. Mol. Biol. Evol. 2017, 33, 1870–1874. [Google Scholar] [CrossRef] [Green Version]
  33. Wright, S. The genetical structure of populations. Ann. Hum. Genet. 1954, 1, 1–8. [Google Scholar]
  34. Saleh, A.A.; Esele, J.P.; Logrieco, A.; Ritieni, A.; Leslie, J.F. Fusarium verticillioides from finger millet in Uganda. Food Addit. Contam. Part A Chem. Anal. Control Expo. Risk Assess. 2012, 29, 1762–1769. [Google Scholar] [CrossRef] [PubMed]
  35. Cogliati, M.; Zani, A.; Rickerts, V.; McCormick, I.; Desnos-Ollivier, M.; Velegraki, A.; Escandon, P.; Ichikawa, T.; Ikeda, R.; Bienvenue, A.-L.; et al. Multilocus sequence typing analysis reveals that Cryptococcus neoformans var. neoformans is a recombinant population. Fungal Genet. Biol. 2016, 87, 22–29. [Google Scholar] [CrossRef] [Green Version]
  36. Librado, P.; Rozas, J. DnaSP v5: A software for comprehensive analysis of DNA polymorphism data. Bioinformatics 2009, 25, 1451–1452. [Google Scholar] [CrossRef] [Green Version]
  37. Bengyella, L.; Yekwa, E.L.; Nawaz, K.; Iftikhar, S.; Tambo, E.; Alisoltani, A.; Feto, N.A.; Roy, P. Global invasive Cochliobolus species: Cohort of destroyers with implications in food losses and insecurity in the twenty-first century. Arch. Microbiol. 2017, 200, 119–135. [Google Scholar] [CrossRef]
  38. Kiss, N.; Homa, M.; Manikandan, P.; Mythili, A.; Krizsán, K.; Revathi, R.; Varga, M.; Papp, T.; Vágvölgyi, C.; Kredics, L.; et al. New species of the genus Curvularia: C. tamilnaduensis and C. coimbatorensis from fungal keratitis cases in South India. Pathogens 2019, 9, 9. [Google Scholar] [CrossRef] [Green Version]
  39. Gao, J.-X.; Chen, J. Transcriptome analysis identifies candidate genes associated with melanin and toxin biosynthesis and pathogenicity of the maize pathogen, Curvularia lunata. J. Phytopathol. 2018, 166, 233–241. [Google Scholar] [CrossRef]
  40. O’Donnell, K.; Rooney, A.P.; Proctor, R.H.; Brown, D.W.; McCormick, S.P.; Ward, T.J.; Frandsen, R.J.N.; Lysøe, E.; Rehner, S.A.; Aoki, T.; et al. Phylogenetic analyses of RPB1 and RPB2 support a middle Cretaceous origin for a clade comprising all agriculturally and medically important fusaria. Fungal Genet. Biol. 2013, 52, 20–31. [Google Scholar] [CrossRef]
  41. Pena, G.A.; Cavaglieri, L.R.; Chulze, S.N. Fusarium species and moniliformin occurrence in sorghum grains used as ingredient for animal feed in Argentina. J. Sci. Food Agric. 2018, 99, 47–54. [Google Scholar] [CrossRef] [Green Version]
  42. Wakelin, S.A.; Warren, R.A.; Kong, L.; Harvey, P.R. Management factors affecting size and structure of soil Fusarium communities under irrigated maize in Australia. Appl. Soil Ecol. 2008, 39, 201–209. [Google Scholar] [CrossRef]
  43. Nayaka, S.C.; Shankar, A.C.U.; Niranjana, S.R.; Wulff, E.G.; Mortensen, C.N.; Prakash, H.S. Detection and quantification of fumonisins from Fusarium verticillioides in maize grown in southern India. World J. Microbiol. Biotechnol. 2009, 26, 71–78. [Google Scholar] [CrossRef]
  44. Brown, D.W.; Cheung, F.; Proctor, R.H.; Butchko, R.A.; Zheng, L.; Lee, Y.; Utterback, T.; Smith, S.; Feldblyum, T.; Glenn, A.E.; et al. Comparative analysis of 87,000 expressed sequence tags from the fumonisin-producing fungus Fusarium verticillioides. Fungal Genet. Biol. 2005, 42, 848–861. [Google Scholar] [CrossRef] [Green Version]
  45. Ma, L.-J.; Van Der Does, H.C.; Borkovich, K.A.; Coleman, J.J.; Daboussi, M.-J.; Di Pietro, A.; Dufresne, M.; Freitag, M.; Grabherr, M.; Henrissat, B.; et al. Comparative genomics reveals mobile pathogenicity chromosomes in Fusarium. Nature 2010, 464, 367–373. [Google Scholar] [CrossRef] [PubMed]
  46. Wilke, A.L.; Bronson, C.R.; Tomas, A.; Munkvold, G.P. Seed transmission of Fusarium verticillioides in maize plants grown under three different temperature regimes. Plant Dis. 2007, 91, 1109–1115. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  47. Maiorano, A.; Blandino, M.; Reyneri, A.; Vanara, F. Effects of maize residues on the Fusarium spp. infection and deoxynivalenol (DON) contamination of wheat grain. Crop. Prot. 2008, 27, 182–188. [Google Scholar] [CrossRef]
  48. Trenholm, H.L.; Prelusky, D.B.; Young, J.C.; Miller, J.D. A practical guide to the prevention of Fusarium mycotoxins in grain and animal feedstuffs I. Arch. Environ. Contam. Toxicol. 1989, 18, 443–451. [Google Scholar] [CrossRef] [PubMed]
  49. Munkvold, G.P. Cultural and genetic approaches to managing mycotoxins in maize. Annu. Rev. Phytopathol. 2003, 41, 99–116. [Google Scholar] [CrossRef]
  50. Stępień, Ł.; Gromadzka, K.; Chełkowski, J. Polymorphism of mycotoxin biosynthetic genes among Fusarium equiseti isolates from Italy and Poland. J. Appl. Genet. 2012, 53, 227–236. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  51. Ismail, N.A.; Mohd, M.H.; Nor, N.M.I.M.; Zakaria, L. Fumonisin B1-producing Fusarium species from agricultural crops in Malaysia. Crop. Prot. 2017, 98, 70–75. [Google Scholar] [CrossRef]
  52. Susca, A.; Proctor, R.H.; Butchko, R.A.; Haidukowski, M.; Stea, G.; Logrieco, A.; Moretti, A. Variation in the fumonisin biosynthetic gene cluster in fumonisin-producing and nonproducing black aspergilli. Fungal Genet. Biol. 2014, 73, 39–52. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  53. Sharma, R.; Thakur, R.P.; Senthilvel, S.; Nayak, S.; Reddy, S.V.; Rao, V.P.; Varshney, R.K.; Senapathy, S. Identification and characterization of toxigenic Fusaria associated with sorghum grain mold complex in India. Mycopathologia 2010, 171, 223–230. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  54. Tancic, S.; Stankovi, S.; Levic, J.; Krnjaja, V.; Vukojevi, J. Diversity of the Fusarium verticillioides and F. proliferatum isolates according to their fumonisin b1 production potential and origin. Genetika 2012, 44, 163–176. [Google Scholar] [CrossRef]
  55. Terciolo, C.; Bracarense, A.P.; Souto, P.C.; Cossalter, A.-M.; Dopavogui, L.; Loiseau, N.; Oliveira, C.A.F.; Pinton, P.; Oswald, I.P. Fumonisins at doses below EU regulatory limits induce histological alterations in piglets. Toxins 2019, 11, 548. [Google Scholar] [CrossRef] [Green Version]
  56. Kabak, B.; Dobson, A.D.W.; Var, I. Strategies to prevent mycotoxin contamination of food and animal feed: A review. Crit. Rev. Food Sci. Nutr. 2006, 46, 593–619. [Google Scholar] [CrossRef]
Microorganisms 09 00383 g001a 550Microorganisms 09 00383 g001b 550
Figure 1. Distribution of different haplotypes derived from on partial sequence of translation elongation factor alpha-1 gene according to country of origin.
Figure 1. Distribution of different haplotypes derived from on partial sequence of translation elongation factor alpha-1 gene according to country of origin.
Microorganisms 09 00383 g001aMicroorganisms 09 00383 g001b
Microorganisms 09 00383 g002 550
Figure 2. Phylogenetic tree of fumonisins gene cluster. A = FUM1 and B = FUM3. Yellow node (F. proliferatum), blue node (F. andiyazi), and red node (F. verticillioides).
Figure 2. Phylogenetic tree of fumonisins gene cluster. A = FUM1 and B = FUM3. Yellow node (F. proliferatum), blue node (F. andiyazi), and red node (F. verticillioides).
Microorganisms 09 00383 g002
Microorganisms 09 00383 g003 550
Figure 3. Fumonisins production capabilities among Fusarium species isolated from northern Uganda.
Figure 3. Fumonisins production capabilities among Fusarium species isolated from northern Uganda.
Microorganisms 09 00383 g003
Microorganisms 09 00383 g004 550
Figure 4. Fumonisins production among three species of Fusarium isolated from northern Uganda. (A) Variation in concentration of fumonisins among the species. (B) Variation in fumonisins production among isolates derived from different grain types. (C) Variation in fumonisins production in different haplotype groups of Fusarium verticillioides.
Figure 4. Fumonisins production among three species of Fusarium isolated from northern Uganda. (A) Variation in concentration of fumonisins among the species. (B) Variation in fumonisins production among isolates derived from different grain types. (C) Variation in fumonisins production in different haplotype groups of Fusarium verticillioides.
Microorganisms 09 00383 g004
Table
Table 1. Fungal genera and species isolated from grains in northern Uganda (n = 160).
Table 1. Fungal genera and species isolated from grains in northern Uganda (n = 160).
Genus Classification Based on ITS RegionNPercentage (%)
Aspergillus10.63
Bipolaris1811.25
Cladosporium21.25
Curvularia138.13
Diaporthe10.63
Epicoccum127.50
Exserohilum10.63
Fusarium8551.25
Lasiodiplodia85.00
Macrophomina31.88
Nigrospora10.63
Periconia10.63
Sarocladium21.25
Trametes21.25
Trichoderma10.63
Species classification based on TEF1-α
Aspergillus spp.10.63
Fusarium andiyazi1811.25
Fusarium equiseti116.88
Fusarium incarnatum2113.13
Fusarium proliferatum21.25
Fusarium solani42.50
Fusarium thapsinum21.25
Fusarium verticillioides3220.00
Trichoderma gamsii10.63
No sequence42.50
Table
Table 2. Distribution of fungal species among the grain types using TEF1-α.
Table 2. Distribution of fungal species among the grain types using TEF1-α.
FungusMaize
(n = 44)		Millet
(n = 12)		Peanut
(n = 11)		Rice
(n = 5)		Simsim
(n = 2)		Sorghum
(n = 22)
Fusarium andiyazi7.501.870.630.000.001.25
Fusarium equiseti1.250.003.750.000.001.87
Fusarium incarnatum3.133.130.001.870.005.00
Fusarium proliferatum0.001.240.000.000.000.00
Fusarium solani0.630.001.870.000.000.00
Fusarium thapsinum0.000.000.000.000.630.63
Fusarium verticillioides13.131.250.631.250.633.13
Trichoderma gamsii0.630.000.000.000.000.00
Table
Table 3. Genetic differentiation between isolates of Fusarium species isolated from Uganda and isolates reported in other countries using partial TEF1-α sequence.
Table 3. Genetic differentiation between isolates of Fusarium species isolated from Uganda and isolates reported in other countries using partial TEF1-α sequence.
Fungal SpeciesCountry of OriginFstChi-Squarep-Value
Fusarium verticillioidesKenya (n = 10)0.1319.870.00
Eastern Uganda (n = 11)0.1110.300.07
china (n = 13)0.0320.750.02
USA (n = 14)0.1223.750.00
Italy (n = 7)0.306.960.14
India (n = 19)0.2138.930.00
Argentina (n = 10)0.049.510.09
Japan (n = 11)0.4329.670.00
Spain (n = 17)0.0112.200.09
Fusarium andiyaziArgentina (n = 21)0.3334.000.00
USA (n = 6)0.2419.000.04
China (n = 19)0.2932.000.00
Australia0.3224.000.01
Nigeria (n = 5)0.1618.000.02
India (n = 4)0.0517.000.07
Brazil (n = 9)0.1018.550.07
Korea (n = 5)0.3518.000.04
Italy (n = 5)0.3618.000.06
Fusarium equisetiUSA (n = 10)0.3620.000.01
Italy (n = 12)0.2622.000.04
Korea (n = 3)0.1813.000.02
China (n = 13)0.3823.000.00
Fusarium incarnatumSpain (n = 5)0.1924.000.00
Australia (n = 10)0.4729.000.00
India (n = 8)0.7727.000.00
USA (n = 4)0.5128.000.00
Brazil (n = 5)0.3324.000.00
China (n = 15)0.6434.000.00
The number of isolates derived from northern Uganda for the four species used in genetic differentiation studies was Fusarium verticillioides (n = 27), Fusarium andiyazi (n = 13), Fusarium equiseti (n = 10), and Fusarium incarnatum (n = 19).
Table
Table 4. Occurrence of fumonisin gene cluster (FUM1 and FUM3) among three species of Fusarium.
Table 4. Occurrence of fumonisin gene cluster (FUM1 and FUM3) among three species of Fusarium.
Fusarium SpeciesNAbsent (%)Present (%)
FUM1 geneFusarium andiyazi1838.8961.11
Fusarium proliferatum20.00100.00
Fusarium verticillioides323.1396.88
FUM3 geneFusarium andiyazi1850.0050.00
Fusarium proliferatum20.00100.00
Fusarium verticillioides323.1396.88
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Wokorach, G.; Landschoot, S.; Audenaert, K.; Echodu, R.; Haesaert, G. Genetic Characterization of Fungal Biodiversity in Storage Grains: Towards Enhancing Food Safety in Northern Uganda. Microorganisms 2021, 9, 383. https://doi.org/10.3390/microorganisms9020383

AMA Style

Wokorach G, Landschoot S, Audenaert K, Echodu R, Haesaert G. Genetic Characterization of Fungal Biodiversity in Storage Grains: Towards Enhancing Food Safety in Northern Uganda. Microorganisms. 2021; 9(2):383. https://doi.org/10.3390/microorganisms9020383

Chicago/Turabian Style

Wokorach, Godfrey, Sofie Landschoot, Kris Audenaert, Richard Echodu, and Geert Haesaert. 2021. "Genetic Characterization of Fungal Biodiversity in Storage Grains: Towards Enhancing Food Safety in Northern Uganda" Microorganisms 9, no. 2: 383. https://doi.org/10.3390/microorganisms9020383

APA Style

Wokorach, G., Landschoot, S., Audenaert, K., Echodu, R., & Haesaert, G. (2021). Genetic Characterization of Fungal Biodiversity in Storage Grains: Towards Enhancing Food Safety in Northern Uganda. Microorganisms, 9(2), 383. https://doi.org/10.3390/microorganisms9020383

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop