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<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Microbiol.</journal-id>
<journal-title>Frontiers in Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Microbiol.</abbrev-journal-title>
<issn pub-type="epub">1664-302X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmicb.2025.1631550</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Microbiology</subject>
<subj-group>
<subject>Mini Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Virulence gene landscapes of <italic>Salmonella</italic> in Eastern and Southern Africa</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Mohamed</surname> <given-names>Mohamed-Yousif Ibrahim</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/2339014/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
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<contrib contrib-type="author">
<name><surname>Habib</surname> <given-names>Ihab</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<aff id="aff1"><sup>1</sup><institution>Department of Veterinary Medicine, College of Agriculture and Veterinary Medicine, United Arab Emirates University</institution>, <addr-line>Al Ain</addr-line>, <country>United Arab Emirates</country></aff>
<aff id="aff2"><sup>2</sup><institution>ASPIRE Research Institute for Food Security in the Drylands (ARIFSID), United Arab Emirates University</institution>, <addr-line>Al Ain</addr-line>, <country>United Arab Emirates</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Adrian Canizalez-Roman, Autonomous University of Sinaloa, Mexico</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Junior Caro Castro, National Institute of Health, Peru</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Mohamed-Yousif Ibrahim Mohamed <email>mohamed-yousif-i&#x00040;uaeu.ac.ae</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>11</day>
<month>07</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1631550</elocation-id>
<history>
<date date-type="received">
<day>19</day>
<month>05</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>20</day>
<month>06</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2025 Mohamed and Habib.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Mohamed and Habib</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<p>Salmonellosis is one of the main foodborne diseases in Eastern and Southern Africa, however its different forms are not fully understood. Based on studies conducted over 20 years, the review discusses how <italic>invA</italic>, the <italic>spv</italic> operon, the <italic>cdtB</italic>-<italic>pltAB</italic> typhoid toxin cassette, the adhesion factor <italic>bapA</italic>, and loci related to stress responses (<italic>pagC, mgtB</italic>) affect pathogenic strains isolated from livestock, wildlife, produce, and humans from various countries. Findings reveal pronounced ecological and geographic variation, S. Typhimurium and S. Enteritidis in Ethiopia&#x00027;s dairy chain and Tanzanian backyard poultry carry <italic>spv</italic> at rates exceeding 80%, while whole-genome studies from South Africa document the continent&#x00027;s most extensive accessory-gene repertoires and identify fully virulent strains in reptiles and market vegetables. Human outbreaks mirror this diversity, Nairobi pediatric isolates harbor universal <italic>hilA</italic>/<italic>sopB</italic> and <italic>Stn</italic>; Ugandan epidemics rely on chromosomal factors despite minimal <italic>spvB</italic>; Rwandan Moero serovars uniquely possess the cytolethal-distending-toxin cassette. Altogether, the data suggests a significant need for syncing genomic disease surveillance with the One-Health approach, this will allow for early detection of hybrid and migrating bacteria, shielding children, serious disease sufferers, and those serving the food sector against more spread of dangerous pathogens.</p></abstract>
<kwd-group>
<kwd><italic>Salmonella</italic></kwd>
<kwd>virulence genes</kwd>
<kwd>food chain</kwd>
<kwd>foodborne infection</kwd>
<kwd>East and Southern Africa</kwd>
</kwd-group>
<counts>
<fig-count count="0"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="56"/>
<page-count count="8"/>
<word-count count="5752"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Food Microbiology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>Health authorities worldwide continue to consider <italic>Salmonella</italic> as a major public health threat that causes 93.8 million foodborne infections with around 150,000 deaths annually each year. Such infections stand as major contributors to global expenses from foodborne diseases (EFSA., <xref ref-type="bibr" rid="B11">2019</xref>; ECDC EFSA., <xref ref-type="bibr" rid="B10">2022</xref>). Foodborne diseases persist considerably across Africa because of weak food safety structures that face regulatory limitations and outdated facilities. Grasping the factors that cause <italic>Salmonella</italic> throughout the food supply chain enables the creation of successful prevention measures (WHO, <xref ref-type="bibr" rid="B56">2015</xref>). <italic>Salmonella</italic> contamination throughout Africa creates substantial healthcare risks for the population which result in recorded outbreaks that lead to hospital admissions and death alongside economic expenses (Ibrahim et al., <xref ref-type="bibr" rid="B21">2018</xref>; Elafify et al., <xref ref-type="bibr" rid="B12">2022</xref>). The lack of available resources and inadequate law enforcement continues to make complete control measures difficult which demonstrating the importance of establishing joint regional monitoring and support operations (Habib and Mohamed, <xref ref-type="bibr" rid="B16">2022</xref>; Teklemariam et al., <xref ref-type="bibr" rid="B50">2023</xref>).</p>
<p><italic>Salmonella enterica</italic> is the main pathogenic member of the <italic>Enterobacteriaceae</italic> family and is one of the global leaders in causing bacterial gastroenteritis. Salmonellosis remains a serious public health concern across different European nations (Al-Gallas et al., <xref ref-type="bibr" rid="B2">2022</xref>). The cellular invasion and survival of <italic>Salmonella</italic> bacteria inside macrophages represent an essential pathogenic process since it allows the bacteria to escape host immunity while remaining inside the host (Pinedo et al., <xref ref-type="bibr" rid="B46">2022</xref>). The intracellular lifestyle of these bacteria creates diagnostic and therapeutic challenges because traditional treatment methods often fail to eliminate bacteria from intracellular reservoirs. Targeted intervention strategies aimed at intracellular survival mechanisms are essential to achieve effective outcomes for clinical capabilities and public health management of salmonellosis.</p>
<p>Bacterial virulence-related genes present in <italic>Salmonella</italic> efficiently initiate and accelerate the development of foodborne illnesses. The genetic elements give the pathogen the ability to adhere to host cells while breach tissues while escaping immune detection leading to increased infection potential (Vilela et al., <xref ref-type="bibr" rid="B51">2020</xref>). The investigation of these genes represents a necessary step for the development of specific interventions to control <italic>Salmonella</italic> outbreaks and their prevention efforts. The need to grasp the molecular sequences that regulate bacterial aggression together with environmental stress paths is highlighted by such investigative work (Mohamed et al., <xref ref-type="bibr" rid="B34">2022</xref>).</p>
<p>Experimental animal studies confirm <italic>Salmonella</italic> strains with specific virulence genes responsible for cellular attachment including intra-cellular survival present more hazardous infections, resulting in higher mortality than virulence-deficient strains (Khalefa et al., <xref ref-type="bibr" rid="B23">2021</xref>; Hull et al., <xref ref-type="bibr" rid="B20">2022</xref>; Mohamed et al., <xref ref-type="bibr" rid="B36">2024</xref>). <italic>Salmonella</italic> Pathogenicity Islands (SPIs) genomic clusters increase experimental infection risks and lead to severe disease manifestations (Kombade and Kaur, <xref ref-type="bibr" rid="B24">2021</xref>). Scientific studies of clinical microbial isolates have proven the existence of correlations between particular virulence marker occurrences and human cases of salmonellosis severity (Wang et al., <xref ref-type="bibr" rid="B52">2020</xref>; Borah et al., <xref ref-type="bibr" rid="B5">2022</xref>). The occurrence of the <italic>stn</italic> gene which produces enterotoxin is associated with higher hospitalization rates and more severe clinical expressions in patients (Nikiema et al., <xref ref-type="bibr" rid="B42">2021</xref>).</p>
<p>Advances in whole-genome sequencing (WGS), a method that determines the complete DNA sequence of an organism&#x00027;s genome at a single time, have facilitated detailed analysis of the genetic features that underpin <italic>Salmonella</italic> virulence. By examining the complete genomes of various isolates, scientists have been able to map the distribution and frequency of virulence genes across different strains, shedding light on their role in disease severity and immune evasion (Mohamed et al., <xref ref-type="bibr" rid="B37">2025</xref>). The genomic findings validate previous research demonstrating that particular genetic patterns relate to infections that spread deeply into the body and resist treatment (Nikiema et al., <xref ref-type="bibr" rid="B42">2021</xref>). Additionally, functional genomics approaches including gene knockouts and expression analysis in both <italic>in vitro</italic> and <italic>ex vivo</italic> models have proven instrumental in clarifying the specific contributions of individual virulence genes to pathogenesis. These experimental frameworks not only validate the importance of these genes in promoting <italic>Salmonella</italic> infection but also help assess their role in determining clinical outcomes (Lozano-Villegas et al., <xref ref-type="bibr" rid="B28">2023</xref>).</p>
<p>Some genetic virulence components missing in <italic>Salmonella</italic> isolates from food sources diminish their ability to produce clinical salmonellosis (Wang et al., <xref ref-type="bibr" rid="B52">2020</xref>). The virulence genes produce proteins that help bacteria establish residence and invade host cells. These microbe strains become less pathogenic because of their absence or reduced expression levels of essential virulence genes (Vilela et al., <xref ref-type="bibr" rid="B51">2020</xref>). Ingestion of bacteria with lower virulence often results in mild or no apparent symptoms in human bodies. Organisms that lack necessary virulence factors demonstrate a reduced ability to spread in human digestive tracts which decreases the chance of infections after contact with contaminated material (Wang et al., <xref ref-type="bibr" rid="B52">2020</xref>). The health risk potential of foodborne <italic>Salmonella</italic> strains originates from the virulence genes that they contain or lack. Detecting genetic markers serves vital functions for both danger evaluation in public health and intervention development for foodborne infection control (Habib et al., <xref ref-type="bibr" rid="B17">2023b</xref>; Oueslati et al., <xref ref-type="bibr" rid="B44">2023</xref>).</p>
<p>The pathogenic capabilities of <italic>Salmonella</italic> species result from virulence genes that exist as <italic>Salmonella</italic> Pathogenicity Islands (SPIs) throughout the bacterial chromosome (Dougnon et al., <xref ref-type="bibr" rid="B9">2017</xref>). The five classified SPIs provide essential knowledge to scientists and SPI-1 along with SPI-2 stand out because they encode the Type III secretion systems (T3SSs) (Cerny and Holden, <xref ref-type="bibr" rid="B8">2019</xref>; Lerminiaux et al., <xref ref-type="bibr" rid="B27">2020</xref>). The interaction between SPI-1 and SPI-2 demonstrates different functions because SPI-1 enables cell invasion and triggers inflammation whereas SPI-2 drives phagocytic cell survival across the body (Wemyss and Pearson, <xref ref-type="bibr" rid="B55">2019</xref>). The genetic construct <italic>invA</italic> within SPI-1 exists across all <italic>Salmonella</italic> strains because it serves as the critical factor for host cell penetration. The <italic>spiC</italic> gene encoded by SPI-2 produces essential secretion system components required for virulence while operating independently from flagellar structures (Hasan, <xref ref-type="bibr" rid="B18">2021</xref>; Wang et al., <xref ref-type="bibr" rid="B53">2021</xref>). Both SPI-3 and SPI-4 exist throughout all <italic>Salmonella</italic> lineages however, the patterns of occurrence for SPI-4 and SPI-5 remain uncertain (Wang et al., <xref ref-type="bibr" rid="B52">2020</xref>). SPI-4 contributes to early interactions with intestinal epithelial cells and supports long-term colonization, including the <italic>orfL</italic> gene linked to survival within macrophages (Albanwawy and Abdul-Lateef, <xref ref-type="bibr" rid="B1">2021</xref>). SPI-5 is involved in multiple stages of the infection process, with <italic>pipD</italic> playing a notable role (Wang et al., <xref ref-type="bibr" rid="B52">2020</xref>). Additionally, <italic>Salmonella</italic> harbors extra-chromosomal virulence determinants such as the <italic>Salmonella</italic> virulence plasmid (<italic>spvRABCD</italic>), which enhances systemic dissemination and enables replication at extraintestinal sites (Dougnon et al., <xref ref-type="bibr" rid="B9">2017</xref>; Hsu et al., <xref ref-type="bibr" rid="B19">2019</xref>). Polyamines, which are present in elevated concentrations in various fermented, aged, and plant-derived foods, serve critical functions in cellular homeostasis and microbial viability. In the context of foodborne pathogens such as <italic>Salmonella</italic>, elevated dietary polyamine levels may enhance bacterial resilience within the gastrointestinal tract, potentially contributing to heightened virulence and persistence during infection. This association suggests that polyamines may play a significant role in modulating pathogen-host interactions. Therefore, elucidating the link between polyamine concentrations in food and microbial pathogenicity is essential for informing targeted strategies aimed at mitigating foodborne illnesses and safeguarding public health (Mohamed et al., <xref ref-type="bibr" rid="B32">2019a</xref>; Krysenko and Wohlleben, <xref ref-type="bibr" rid="B25">2022</xref>).</p></sec>
<sec id="s2">
<title>2 Overview of virulence determinants in Eastern and Southern Africa</title>
<sec>
<title>2.1 Materials and methods</title>
<p>This study utilized a narrative review approach to synthesize findings related to <italic>Salmonella</italic> virulence genes in East and Southern Africa. A comprehensive literature search was conducted using electronic databases such as PubMed (<ext-link ext-link-type="uri" xlink:href="https://pubmed.ncbi.nlm.nih.gov/">https://pubmed.ncbi.nlm.nih.gov/</ext-link>) and Google Scholar (<ext-link ext-link-type="uri" xlink:href="https://scholar.google.com/">https://scholar.google.com/</ext-link>) to identify relevant studies published over the last two decades (Par&#x000E9; et al., <xref ref-type="bibr" rid="B45">2015</xref>). Only peer-reviewed materials maintained scientific rigor for the review process so non-peer-reviewed pieces such as opinion writing letters to the editor or anecdotal documentation were excluded. The search was refined using specific keywords per country &#x0201C;<italic>Salmonella</italic> virulence genes Ethiopia.&#x0201D; Studies were included if they reported on the virulence gene profiles of <italic>Salmonella</italic> isolates from food, environmental, or human sources within African countries. Articles that lacked relevant data or failed to meet inclusion criteria were excluded from the review (Par&#x000E9; et al., <xref ref-type="bibr" rid="B45">2015</xref>).</p></sec>
<sec>
<title>2.2 Virulence factors in Eastern and Southern Africa</title>
<p>In Eastern and Southern Africa, salmonellosis causes real concerns for public health, especially when hot weather blackouts, and shortages of water, favor bacterial persistence and foodborne transmission (Mohamed et al., <xref ref-type="bibr" rid="B33">2019b</xref>; Mohamed, <xref ref-type="bibr" rid="B31">2024</xref>). Because they come into contact with animals, raw meat, and dirty food, veterinarians, livestock and poultry farmers, employees at slaughterhouses, traders of live chickens, market butchers, and house-food handlers are more likely to contract diseases (Mohamed and Habib, <xref ref-type="bibr" rid="B35">2023</xref>). These observations set the stage for understanding how various virulence genes in Salmonella contribute to its transmission and impact in this region. Even though the threat is real, there are very few country-specific studies on <italic>Salmonella</italic> infections in humans in lands as far apart as Burundi and South Africa over the last 20 years, so research is needed for each region to guide prevention steps.</p>
<p>Building on this context, <xref ref-type="table" rid="T1">Table 1</xref> compiles the virulence factors found in <italic>Salmonella enterica</italic> taken from foods, livestock, wildlife, and humans in Eastern and Southern Africa. The <italic>invA</italic> invasion gene, found only in those bacteria that can enter cells, was found in 80&#x02013;100% of the strains in Ethiopia, Kenya, Tanzania, Botswana, and South Africa (Munuo et al., <xref ref-type="bibr" rid="B40">2022</xref>; Beyene et al., <xref ref-type="bibr" rid="B3">2024</xref>; Bywater et al., <xref ref-type="bibr" rid="B7">2024</xref>; Webale, <xref ref-type="bibr" rid="B54">2024</xref>). In addition, the <italic>spv</italic> operon located on plasmids (<italic>spvABCRD</italic>) supports the bacteria&#x00027;s systemic movement. Over 83% of the S. Typhimurium and S. Enteritidis were studied in Ethiopian dairy (Beyene et al., <xref ref-type="bibr" rid="B3">2024</xref>) and over 81% of the S. Enteritidis from Tanzanian backyard poultry had the gene, but the same was negative for other serovars like S. Ball or S. Blockley (Rukambile et al., <xref ref-type="bibr" rid="B49">2021</xref>). The <italic>spv</italic> was found in 14% of animals but 62% of human clinical samples in routine conditions and remained at 100% during the outbreak.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Prevalence of virulence genes in <italic>Salmonella</italic> serotypes isolated from food and human sources in East and Southern Africa.</p></caption>
<table frame="box" rules="all">
<thead>
<tr style="background-color:#919498;color:#ffffff">
<th valign="top" align="left"><bold>Regional distribution</bold></th>
<th valign="top" align="left"><bold>Source of samples (food or human)</bold></th>
<th valign="top" align="left"><bold>Temporal trends</bold></th>
<th valign="top" align="left"><bold><italic>Salmonella</italic> serotypes (total number)</bold></th>
<th valign="top" align="left"><bold>Virulence genes (%)<sup>&#x0002A;</sup></bold></th>
<th valign="top" align="left"><bold>Methods for detecting virulence genes</bold></th>
<th valign="top" align="left"><bold>References</bold></th>
</tr>
</thead>
<tbody>
<tr style="background-color:#dee1e1;">
<td valign="top" align="left" colspan="7"><bold>East Africa</bold></td>
</tr> <tr style="background-color:#dee1e1;">
<td valign="top" align="left" colspan="7"><bold>Ethiopia</bold></td>
</tr> <tr>
<td valign="top" align="left">Northwest part of Ethiopia</td>
<td valign="top" align="left">Sources from dairy supply chain and associated regions</td>
<td valign="top" align="left">June 2022 to August 2023</td>
<td valign="top" align="left">Uganda (<italic>n</italic> = 11)</td>
<td valign="top" align="left"><italic>invA</italic> (100)<italic>, spvC</italic> (0)</td>
<td valign="top" align="left">PCR technique</td>
<td valign="top" align="left">Beyene et al., <xref ref-type="bibr" rid="B3">2024</xref></td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td valign="top" align="left"><italic>S. enterica</italic> subsp. <italic>Diarizonae</italic> (<italic>n</italic> = 7)</td>
<td valign="top" align="left"><italic>invA</italic> (100)<italic>, spvC</italic> (0)</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td/>
<td/>
<td valign="top" align="left">Typhimurium (<italic>n</italic> = 6)</td>
<td valign="top" align="left"><italic>invA</italic> (100)<italic>, spvC</italic> (83.3)</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td/>
<td/>
<td valign="top" align="left">Bredeney (<italic>n</italic> = 2)</td>
<td valign="top" align="left"><italic>invA</italic> (100)<italic>, spvC</italic> (0)</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td/>
<td/>
<td valign="top" align="left">Enteritidis (<italic>n</italic> = 1)</td>
<td valign="top" align="left"><italic>invA</italic> (100)<italic>, spvC</italic> (100)</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td/>
<td/>
<td valign="top" align="left">Urbana (<italic>n</italic> = 1)</td>
<td valign="top" align="left"><italic>invA</italic> (100)<italic>, spvC</italic> (0)</td>
<td/>
<td/>
</tr> <tr>
<td valign="top" align="left">Southern Ethiopia</td>
<td valign="top" align="left">Raw milk samples</td>
<td/>
<td valign="top" align="left"><italic>Salmonella</italic> isolates (<italic>n =</italic> 40)</td>
<td valign="top" align="left"><italic>invA</italic> (80)</td>
<td valign="top" align="left">PCR technique</td>
<td valign="top" align="left">Gebeyehu et al., <xref ref-type="bibr" rid="B14">2022</xref></td>
</tr> <tr style="background-color:#dee1e1;">
<td valign="top" align="left" colspan="7"><bold>Kenya</bold></td>
</tr> <tr>
<td valign="top" align="left">Nairobi city</td>
<td valign="top" align="left">Diarrheic children under 5 years</td>
<td valign="top" align="left">2024</td>
<td valign="top" align="left"><italic>Salmonella</italic> isolates (<italic>n =</italic> 9)</td>
<td valign="top" align="left"><italic>invA</italic> (100)<italic>, hila</italic> (100)<italic>, sopB</italic> (100)<italic>, Stn</italic> (100)</td>
<td valign="top" align="left">PCR technique</td>
<td valign="top" align="left">Webale, <xref ref-type="bibr" rid="B54">2024</xref></td>
</tr> <tr>
<td valign="top" align="left">Rural Western Kenya</td>
<td valign="top" align="left">Clinical <italic>Salmonella</italic> enterica</td>
<td valign="top" align="left">February 2004 to June 2005</td>
<td valign="top" align="left"><italic>Salmonella typhi</italic> isolates (<italic>n =</italic> 3)</td>
<td valign="top" align="left"><italic>invA</italic> (0), <italic>spvA</italic> (33.3), <italic>spvB</italic> (33.3), <italic>spvC</italic> (33.3), <italic>spvD</italic> (33.3), <italic>spvR</italic> (33.3)</td>
<td valign="top" align="left">PCR technique</td>
<td valign="top" align="left">Onyango et al., <xref ref-type="bibr" rid="B43">2010</xref></td>
</tr> <tr style="background-color:#dee1e1;">
<td valign="top" align="left" colspan="7"><bold>Rwanda</bold></td>
</tr> <tr>
<td valign="top" align="left">Northern Province of Rwanda</td>
<td valign="top" align="left">Animal</td>
<td valign="top" align="left">2019</td>
<td valign="top" align="left">Typhimurium (<italic>n</italic> = 1)</td>
<td valign="top" align="left"><italic>spvA</italic> (100)<italic>, spvB</italic> (100)<italic>, spvC</italic> (100)<italic>, spvD</italic> (100)<italic>, spvR</italic> (100)</td>
<td valign="top" align="left">Whole-genome sequencing (WGS)</td>
<td valign="top" align="left">Byukusenge, <xref ref-type="bibr" rid="B6">2019</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Humans</td>
<td/>
<td valign="top" align="left">Moero (<italic>n =</italic> 3)</td>
<td valign="top" align="left"><italic>cdtB</italic> (100)<italic>, pltA</italic> (100)<italic>, pltB</italic> (100)</td>
<td/>
<td/>
</tr> <tr style="background-color:#dee1e1;">
<td valign="top" align="left" colspan="7"><bold>Tanzania</bold></td>
</tr> <tr>
<td valign="top" align="left">Morogoro, Tanzania</td>
<td valign="top" align="left">Chicken</td>
<td valign="top" align="left">October 2019 and May 2021</td>
<td valign="top" align="left"><italic>Salmonella</italic> isolates (<italic>n =</italic> 11)</td>
<td valign="top" align="left"><italic>invA</italic> (100)<italic>, iroB</italic> (100)</td>
<td valign="top" align="left">PCR technique</td>
<td valign="top" align="left">Munuo et al., <xref ref-type="bibr" rid="B40">2022</xref></td>
</tr> <tr>
<td valign="top" align="left">Rural Central Tanzania</td>
<td valign="top" align="left">Chicken</td>
<td valign="top" align="left">2021</td>
<td valign="top" align="left">Typhimurium (<italic>n =</italic> 1)</td>
<td valign="top" align="left"><italic>spvB</italic> (100)<italic>, spvC</italic> (100)<italic>, spvR</italic> (100)</td>
<td valign="top" align="left">Whole-genome sequencing (WGS)</td>
<td valign="top" align="left">Rukambile et al., <xref ref-type="bibr" rid="B49">2021</xref></td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td valign="top" align="left">Enteritidis/Gallinurum (<italic>n =</italic> 1)</td>
<td valign="top" align="left"><italic>spvB</italic> (100)<italic>, spvC</italic> (100)<italic>, spvR</italic> (0)</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td/>
<td/>
<td valign="top" align="left">Ball (<italic>n =</italic> 4)</td>
<td valign="top" align="left"><italic>spvB</italic> (0)<italic>, spvC</italic> (0)<italic>, spvR</italic> (0)</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td/>
<td/>
<td valign="top" align="left">Haardt/Blockley (<italic>n =</italic> 1)</td>
<td valign="top" align="left"><italic>spvB</italic> (0)<italic>, spvC</italic> (0)<italic>, spvR</italic> (0)</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td/>
<td/>
<td valign="top" align="left">Braenderup (<italic>n =</italic> 1)</td>
<td valign="top" align="left"><italic>spvB</italic> (0)<italic>, spvC</italic> (0)<italic>, spvR</italic> (0)</td>
<td/>
<td/>
</tr> <tr>
<td valign="top" align="left">Kibong&#x00027;oto Infectious Diseases Hospital</td>
<td valign="top" align="left">Clinical <italic>Salmonella</italic> enterica</td>
<td valign="top" align="left">June 2019</td>
<td valign="top" align="left">Typhimurium (<italic>n =</italic> 8)</td>
<td valign="top" align="left"><italic>invA</italic> (50)<italic>, spvC</italic> (37.5)</td>
<td valign="top" align="left">PCR technique</td>
<td valign="top" align="left">Mkangara et al., <xref ref-type="bibr" rid="B29">2020</xref></td>
</tr> <tr style="background-color:#dee1e1;">
<td valign="top" align="left" colspan="7"><bold>Uganda</bold></td>
</tr> <tr>
<td valign="top" align="left">Mulago National Referral Hospital, Tororo Hospital, and Kasese District</td>
<td valign="top" align="left">Clinical <italic>Salmonella</italic> enterica</td>
<td valign="top" align="left">Between 2007 and 2009</td>
<td valign="top" align="left"><italic>Salmonella</italic> isolates (<italic>n =</italic> 25)</td>
<td valign="top" align="left"><italic>spvB</italic> (80)<italic>, spiA</italic> (88)<italic>, pagC</italic> (92)<italic>, msgA</italic> (92)<italic>, sipB</italic> (84)<italic>, spaN</italic> (92)</td>
<td valign="top" align="left">PCR technique</td>
<td valign="top" align="left">Kagirita et al., <xref ref-type="bibr" rid="B22">2017</xref></td>
</tr> <tr>
<td/>
<td valign="top" align="left">Human epidemic</td>
<td/>
<td valign="top" align="left"><italic>Salmonella</italic> isolates (<italic>n =</italic> 23)</td>
<td valign="top" align="left"><italic>spvB</italic> (4.3)<italic>, spiA</italic> (82.6)<italic>, pagC</italic> (82.6)<italic>, msgA</italic> (95.6)<italic>, sipB</italic> (87)<italic>, spaN</italic> (95.6)</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Cattle</td>
<td/>
<td valign="top" align="left"><italic>Salmonella</italic> isolates (<italic>n =</italic> 7)</td>
<td valign="top" align="left"><italic>spvB</italic> (14.3)<italic>, spiA</italic> (85.7)<italic>, pagC</italic> (85.7)<italic>, msgA</italic> (85.7)<italic>, sipB</italic> (85.7)<italic>, spaN</italic> (85.7)</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Pigs</td>
<td/>
<td valign="top" align="left"><italic>Salmonella</italic> isolates (<italic>n =</italic> 2)</td>
<td valign="top" align="left"><italic>spvB</italic> (0)<italic>, spiA</italic> (50)<italic>, pagC</italic> (50)<italic>, msgA</italic> (100)<italic>, sipB</italic> (100)<italic>, spaN</italic> (100)</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Poultry</td>
<td/>
<td valign="top" align="left"><italic>Salmonella</italic> isolates (<italic>n =</italic> 12)</td>
<td valign="top" align="left"><italic>spvB</italic> (0)<italic>, spiA</italic> (66.7)<italic>, pagC</italic> (66.7)<italic>, msgA</italic> (75)<italic>, sipB</italic> (83.3)<italic>, spaN</italic> (83.3)</td>
<td/>
<td/>
</tr> <tr style="background-color:#dee1e1;">
<td valign="top" align="left" colspan="7"><bold>Southern Africa</bold></td>
</tr> <tr style="background-color:#dee1e1;">
<td valign="top" align="left" colspan="7"><bold>Botswana</bold></td>
</tr> <tr>
<td valign="top" align="left">Northern Botswana in Chobe District</td>
<td valign="top" align="left">Vegetables obtained from retail markets</td>
<td valign="top" align="left">2022</td>
<td valign="top" align="left"><italic>Salmonella</italic> isolates (<italic>n =</italic> 7)</td>
<td valign="top" align="left"><italic>invA</italic> (100)</td>
<td valign="top" align="left">PCR technique</td>
<td valign="top" align="left">Bywater et al., <xref ref-type="bibr" rid="B7">2024</xref></td>
</tr> <tr style="background-color:#dee1e1;">
<td valign="top" align="left" colspan="7"><bold>Malawi</bold></td>
</tr> <tr>
<td valign="top" align="left">Blantyre, Malawi</td>
<td valign="top" align="left">Queen Elizabeth Hospital</td>
<td valign="top" align="left">2024</td>
<td valign="top" align="left">Typhimurium (<italic>n =</italic> 1)</td>
<td valign="top" align="left"><italic>spvA</italic> (0)<italic>, spvB</italic> (0)<italic>, spvC</italic> (0)<italic>, spvD</italic> (100)<italic>, macB</italic> (100)</td>
<td valign="top" align="left">Whole-genome sequencing (WGS)</td>
<td valign="top" align="left">Kumwenda et al., <xref ref-type="bibr" rid="B26">2024</xref></td>
</tr> <tr style="background-color:#dee1e1;">
<td valign="top" align="left" colspan="7"><bold>South Africa</bold></td>
</tr> <tr>
<td valign="top" align="left">Mahikeng city of North West Province, South Africa</td>
<td valign="top" align="left">Healthy broiler chickens from chicken abattoirs</td>
<td valign="top" align="left">2024</td>
<td valign="top" align="left">Typhimurium and S. Enteritidis (<italic>n =</italic> 22)</td>
<td valign="top" align="left"><italic>hilA</italic> (100)<italic>, ssrB</italic> (100)<italic>, pagC</italic> (100), 1)<italic>, bapA</italic> (36.4)<italic>, sopB</italic> (31.8)<italic>, marT</italic> (22.7)<italic>, vexA</italic> (18.2)<italic>, nlpI</italic> (18.2)<italic>, oafA</italic> (13.6)<italic>, cdtB</italic> (27.3)<italic>, spvB</italic> (18.2)<italic>, pagN</italic> (0)</td>
<td valign="top" align="left">PCR technique</td>
<td valign="top" align="left">Ramatla et al., <xref ref-type="bibr" rid="B47">2024</xref></td>
</tr> <tr>
<td valign="top" align="left">Gauteng Province, South Africa</td>
<td valign="top" align="left">Chickens sold at the informal chicken market</td>
<td valign="top" align="left">2023</td>
<td valign="top" align="left"><italic>Salmonella</italic> isolates (<italic>n =</italic> 157)</td>
<td valign="top" align="left"><italic>invA</italic> (100)<italic>, spiC</italic> (91.7)<italic>, shdA</italic> (87.8)<italic>, mgtB</italic> (83.4)<italic>, sopE</italic> (77.7) <italic>pefC</italic> (0.6)<italic>, sefC</italic> (2.5)</td>
<td valign="top" align="left">PCR technique</td>
<td valign="top" align="left">Mokgophi et al., <xref ref-type="bibr" rid="B38">2024</xref></td>
</tr> <tr>
<td valign="top" align="left">Limpopo Province, South Africa</td>
<td valign="top" align="left">Wild Reptiles</td>
<td valign="top" align="left">2023</td>
<td valign="top" align="left"><italic>Salmonella</italic> isolates (<italic>n =</italic> 30)</td>
<td valign="top" align="left"><italic>pagN</italic> (100)<italic>, hilA</italic> (96.7)<italic>, ssrB</italic> (96.7)<italic>, prgH</italic> (86.7)<italic>, marT</italic> (86.7)</td>
<td valign="top" align="left">PCR technique</td>
<td valign="top" align="left">Mlangeni et al., <xref ref-type="bibr" rid="B30">2024</xref></td>
</tr> <tr>
<td valign="top" align="left">Mafikeng, South Africa</td>
<td valign="top" align="left">Poultry farms</td>
<td valign="top" align="left">2019</td>
<td valign="top" align="left"><italic>Salmonella</italic> isolates (<italic>n =</italic> 46)</td>
<td valign="top" align="left"><italic>invA</italic> (100)<italic>, spy</italic> (39)<italic>, hilA</italic> (9)<italic>, misL</italic> (30)<italic>, sdfI</italic> (13)<italic>, orfL</italic> (11)<italic>, spiC</italic> (9)</td>
<td valign="top" align="left">PCR technique</td>
<td valign="top" align="left">Ramatla et al., <xref ref-type="bibr" rid="B48">2020</xref></td>
</tr> <tr>
<td valign="top" align="left">South Coast in South Africa</td>
<td valign="top" align="left">Animals</td>
<td valign="top" align="left">2018</td>
<td valign="top" align="left"><italic>Salmonella</italic> isolates (<italic>n =</italic> 106)</td>
<td valign="top" align="left"><italic>invA</italic> (100)<italic>, iroB</italic> (30.2)<italic>, pipD</italic> (62.3)<italic>, spiC</italic> (18.9)<italic>, int1</italic> (34.9)</td>
<td valign="top" align="left">PCR technique</td>
<td valign="top" align="left">Mthembu et al., <xref ref-type="bibr" rid="B39">2019</xref></td>
</tr> <tr>
<td valign="top" align="left">Eastern Cape, South Africa</td>
<td valign="top" align="left">Patients with diarrhea, Nelson Mandela Academic Hospital Complex (NAMHC)</td>
<td valign="top" align="left">2011</td>
<td valign="top" align="left"><italic>Salmonella</italic> isolates (<italic>n =</italic> 119)</td>
<td valign="top" align="left"><italic>invA</italic> (88.2)<italic>, fliC</italic> (12.6)</td>
<td valign="top" align="left">PCR technique</td>
<td valign="top" align="left">Bisi-Johnson et al., <xref ref-type="bibr" rid="B4">2011</xref></td>
</tr> <tr style="background-color:#dee1e1;">
<td valign="top" align="left" colspan="7"><bold>Zimbabwe</bold></td>
</tr> <tr>
<td valign="top" align="left">Zimbabwe</td>
<td valign="top" align="left">Human</td>
<td valign="top" align="left">2014</td>
<td valign="top" align="left"><italic>Salmonella</italic> isolates (<italic>n =</italic> 13)</td>
<td valign="top" align="left"><italic>Spv</italic> (61.5)</td>
<td valign="top" align="left">PCR technique</td>
<td valign="top" align="left">Farai, <xref ref-type="bibr" rid="B13">2014</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Animal</td>
<td/>
<td valign="top" align="left"><italic>Salmonella</italic> isolates (<italic>n =</italic> 36)</td>
<td valign="top" align="left"><italic>Spv</italic> (13.9)</td>
<td/>
<td/>
</tr> <tr>
<td valign="top" align="left">Selected locations of Zimbabwe</td>
<td valign="top" align="left">Human (outbreak)</td>
<td valign="top" align="left">2012</td>
<td valign="top" align="left"><italic>Salmonella</italic> isolates (<italic>n =</italic> 8)</td>
<td valign="top" align="left"><italic>Spv</italic> (100)</td>
<td valign="top" align="left">PCR technique</td>
<td valign="top" align="left">Nhidza et al., <xref ref-type="bibr" rid="B41">2012</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Animals</td>
<td/>
<td valign="top" align="left"><italic>Salmonella</italic> isolates (<italic>n =</italic> 32)</td>
<td valign="top" align="left"><italic>Spv</italic> (37.5)</td>
<td/>
<td/>
</tr></tbody>
</table>
<table-wrap-foot>
<p><sup>&#x0002A;</sup><italic>The percentage (%) of Salmonella serotypes is calculated from the positive samples (isolated target bacteria)</italic>.</p>
</table-wrap-foot>
</table-wrap>
<p>While <italic>invA</italic> and <italic>spv</italic> are central to virulence, regional genome sequencing efforts have uncovered broader profiles. Whole-genome studies from South Africa have discovered the greatest number of additional genes in the region (Mlangeni et al., <xref ref-type="bibr" rid="B30">2024</xref>; Ramatla et al., <xref ref-type="bibr" rid="B47">2024</xref>). Many industrial broilers contained the adhesion gene <italic>bapA</italic>, enterotoxin <italic>sopB</italic>, typhoid-toxin cassette genes <italic>cdtB</italic>-<italic>pltAB</italic>, gut stress-resistance genes <italic>pagC</italic>, and stress-response gene <italic>mgtB</italic>, whereas backyard flocks had these features at lesser and more variable levels (Ramatla et al., <xref ref-type="bibr" rid="B48">2020</xref>; Mlangeni et al., <xref ref-type="bibr" rid="B30">2024</xref>). Researchers found that Limpopo reptiles carried a lot of the type-III secretion regulator <italic>prgH</italic> (Mlangeni et al., <xref ref-type="bibr" rid="B30">2024</xref>), while Botswana&#x00027;s market vegetables hosted only virulent lead-containing <italic>invA</italic>, both supporting the significance of including fresh products in One-Health tracking (Bywater et al., <xref ref-type="bibr" rid="B7">2024</xref>).</p>
<p>Studies have found that <italic>Salmonella</italic> strains causing cases or outbreaks in humans share many genes that allow them to attack, spread within the body, and release toxic compounds. The gene core invasion <italic>invA</italic> was found in all of Nairobi&#x00027;s pediatric diarrhea isolates by Webale, (2024) and in South Africa 88% by Bisi-Johnson et al. (<xref ref-type="bibr" rid="B4">2011</xref>), however a decade earlier in rural Kenya, it was unexpectedly absent from S. Typhi (Onyango et al., <xref ref-type="bibr" rid="B43">2010</xref>). <italic>Salmonella</italic> regulator <italic>hilA</italic> and effector <italic>sopB</italic> were also detected in 100% of bacteria in Webale&#x00027;s Kenyan cohort, hinting at strong SPI-1 invasion of current non-typhoidal strains (Webale, <xref ref-type="bibr" rid="B54">2024</xref>). Plasmid-supported <italic>spv</italic> genes that promote intracellular growth and infection in the blood were rare or not detected in Nairobi, but were prevalent in Zimbabwe (Nhidza et al., <xref ref-type="bibr" rid="B41">2012</xref>; Farai, <xref ref-type="bibr" rid="B13">2014</xref>), some regions of western Kenya (Onyango et al., <xref ref-type="bibr" rid="B43">2010</xref>), and hospital samples from Tanzania (Rukambile et al., <xref ref-type="bibr" rid="B49">2021</xref>). In line with this, epidemic strains in Uganda lack the <italic>spvB</italic>, indicating that they survive through a combination of chromosomal genetic factors (over 80% for all of them) (Kagirita et al., <xref ref-type="bibr" rid="B22">2017</xref>).</p>
<p>Further, a similar variation was found in the <italic>ctdt</italic> for the cytolethal distending toxin, which appeared exclusively in Rwanda&#x00027;s Moero (Byukusenge, <xref ref-type="bibr" rid="B6">2019</xref>), while <italic>Stn</italic> was found in every Nairobi sample (Webale, <xref ref-type="bibr" rid="B54">2024</xref>). Lastly, the flagellar gene <italic>fliC</italic> was present in only 13% of South African samples (Bisi-Johnson et al., <xref ref-type="bibr" rid="B4">2011</xref>), which agrees with the expectation that bacteria living in the airways can avoid immune responses by losing their flagella. These findings reinforce the notion that the distribution and function of virulence genes vary significantly across the region and must be interpreted within local ecological and host contexts. Hence, the combination of these trends reveals that virulence is affected by the host population, and local conditions, and monitoring of the <italic>Salmonella</italic> genome is important to predict changes to plasmid-mediated virulence and to guide local control efforts.</p>
<p>Surveillance, however, remains fragmented and heavily reliant on single-gene PCR panels that may overlook emerging hybrid pathotypes or misclassify partial plasmid variants (e.g., <italic>spvD</italic>-only isolates from Malawi) (Kumwenda et al., <xref ref-type="bibr" rid="B26">2024</xref>). It is important to use WGS routinely since it can provide in-depth information on virulence, track how plasmids spread, and detect any serovars linked to typhoid toxins in non-typhoid bacteria (Mohamed et al., <xref ref-type="bibr" rid="B36">2024</xref>). A unified WGS strategy would also resolve concerns about exchanging regional products, including South African eggs in Uganda&#x00027;s markets and Tanzanian beef entering Malawi, direct intervention programs for poultry in Malawi, improvements to salad greens cold storage in Botswana, and supervising plasmids for both Malawi and Zimbabwe (Habib et al., <xref ref-type="bibr" rid="B15">2023a</xref>).</p>
<p>Overall, it is clear that <italic>invA</italic> functions as a unique identifier for African <italic>Salmonella</italic>. Still, the presence of plasmids and pathogenicity islands heavily affects the sickness profile and is linked to the host, habitat, and how much is produced in African countries. As seen with Campylobacter in the Gulf region, young children, people whose immune systems do not work properly, and groups of workers are especially at risk from <italic>Salmonella</italic>. This highlights the need for integrated, cross-sectoral surveillance that links human, animal, food, and environmental data using advanced genomic tools. Integrating surveillance for humans, animals, food, and environments with the help of WGS and well-equipped and skilled laboratories is required to handle the growing issues related to invasive and foodborne salmonellosis in Eastern and Southern Africa.</p></sec></sec>
<sec id="s3">
<title>3 Conclusions</title>
<p>This review noted that <italic>Salmonella enterica</italic>&#x00027;s infection mechanisms in Eastern and Southern Africa are driven primarily by the common <italic>invA</italic> gene, as well as by different secondary factors such as the plasmid-borne <italic>spv</italic> operon, typhoid toxin genes, adhesion proteins such as <italic>bapA</italic>, and stress-related loci such as <italic>pagC</italic> and <italic>mgtB</italic>, among others. High carriage rates of <italic>spv</italic> in Ethiopia&#x00027;s dairy chain, Tanzanian backyard poultry, and Zimbabwean outbreak strains underscore its pivotal role in systemic disease. Whole-genome data from South Africa reveal even broader repertoires that vary with production intensity and ecological niche. Fresh-produced isolates in Botswana and reptile reservoirs in Limpopo further illustrate how fully virulent strains move beyond traditional livestock pathways. Nonetheless, surveillance is not complete since using single-gene PCR panels fails to detect hybrids and certain plasmid fragments. This finding suggests these isolates have other, yet unidentified, ways to cause disease. By applying these results, researchers should regularly keep watch over the genetic makeup, monitor the sharing of plasmid resistance, and prepare different strategies to address it. For this reason, knowledge of the source is vital for planning steps like improving the cold chain and reptile management.</p></sec>
</body>
<back>
<sec sec-type="author-contributions" id="s4">
<title>Author contributions</title>
<p>M-YM: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Writing &#x02013; original draft, Writing &#x02013; review &#x00026; editing. IH: Project administration, Writing &#x02013; review &#x00026; editing.</p>
</sec>
<sec sec-type="funding-information" id="s5">
<title>Funding</title>
<p>The authors declare that financial support was received for the research and/or publication of this article. The author(s) declare that the publication fee was covered by the Research and Sponsored Projects Office, United Arab Emirates University.</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="s6">
<title>Generative AI statement</title>
<p>The author(s) declare that no Gen AI was used in the creation of this manuscript.</p></sec>
<sec sec-type="disclaimer" id="s7">
<title>Publisher&#x00027;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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