The population structure and genetic diversity of Listeria monocytogenes ST9 strains based on genomic analysis

Song, Zexuan; Ji, Shunshi; Wang, Yan; Luo, Lijuan; Wang, Yiqian; Mao, Pan; Jiang, Huaying; Ye, Changyun

doi:10.3389/fmicb.2022.982220

Cited by 8 publications

(8 citation statements)

References 55 publications

(92 reference statements)

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“…We discovered that InlA PST 6, which encodes 797 amino acids, is more commonly present among the strains and belongs to lineage I, serotype IVb, which is similar to earlier research [ 20 ]. Strains of serotype IVb have been responsible for several listeriosis outbreaks [ 11 ]. For instance, in 2017–2018, the outbreak in South Africa was caused by ready-to-eat meat products contaminated with these strains, leading to a widespread infection with a mortality rate of 28.6%.…”

Section: Discussionmentioning

confidence: 99%

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Unveiling the Mutations and Conservation of InlA in Listeria monocytogenes

Li,

Wang,

et al. 2024

Microorganisms

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Listeria monocytogenes (L. monocytogenes) is a pathogen that is transmitted through contaminated food and causes the illness known as listeriosis. The virulence factor InlA plays a crucial role in the invasion of L. monocytogenes into the human intestinal epithelium. In addition, InlA enhances the pathogenicity of host strains, and different strains of L. monocytogenes contain varying variations of InlA. Our study analyzed a total of 4393 published L. monocytogenes genomes from 511 sequence types (STs) of diverse origins. We identified 300 unique InlA protein sequence types (PSTs) and revealed 45 highly mutated amino acid sites. The leucine-rich repeat (LRR) region was found to be the most conserved among the InlA, while the protein A (PA) region experienced the highest mutation rate. Two new types of mutations were identified in the B-repeat region of InlA. Correspondence analysis (CA) was used to analyze correlations between the lineages or 10 most common sequence types (STs) and amino acid (aa) sites. ST8 was strongly correlated with site 192_F, 454_T. ST7 exhibited a strong correlation with site 51_A, 573_E, 648_S, and 664_A, and it was also associated with ST6 and site 544_N, 671_A, 738_B, 739_B, 740_B, and 774_Y. Additionally, a strong correlation between ST1 and site 142_S, 738_N, ST2 and site 2_K, 142_S, 738_N, as well as ST87 and site2_K, 738_N was demonstrated. Our findings contribute significantly to the understanding of the distribution, composition, and conservation of InlA in L. monocytogenes. These findings also suggest a potential role of InlA in supporting molecular epidemiological tracing efforts.

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Section: Discussionmentioning

confidence: 99%

“…The clonal complex (CC) refers to sequence types that vary only in one allele. Studies suggest that CC1, CC2, CC4, and CC6 are the primary clone complexes linked to listeriosis, whereas CC9 and CC121 are common clone complexes of L. monocytogenes in food [ 11 , 12 , 13 ].…”

Section: Introductionmentioning

confidence: 99%

Unveiling the Mutations and Conservation of InlA in Listeria monocytogenes

Li,

Wang,

et al. 2024

Microorganisms

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“…Now that doseresponse relationships based on strain genetics have been proposed [42,43], it would be important to look at the genetic diversity of L. monocytogenes in agricultural soils. Clonal complexes (CC) 1, CC2, CC4, and CC6 are infection-associated clones usually causing sporadic or outbreak listeriosis, while CC9 and CC121 are strongly food-associated clones that mostly infect immunocompromised individuals [44].…”

Section: Risk Factors On Farmmentioning

confidence: 99%

A Critical Review of Risk Assessment Models for Listeria monocytogenes in Produce

Gonzales-Barron,

Cadavez,

De Oliveira Mota

et al. 2024

Foods

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A review of quantitative risk assessment (QRA) models of Listeria monocytogenes in produce was carried out, with the objective of appraising and contrasting the effectiveness of the control strategies placed along the food chains. Despite nine of the thirteen QRA models recovered being focused on fresh or RTE leafy greens, none of them represented important factors or sources of contamination in the primary production, such as the type of cultivation, water, fertilisers or irrigation method/practices. Cross-contamination at processing and during consumer’s handling was modelled using transfer rates, which were shown to moderately drive the final risk of listeriosis, therefore highlighting the importance of accurately representing the transfer coefficient parameters. Many QRA models coincided in the fact that temperature fluctuations at retail or temperature abuse at home were key factors contributing to increasing the risk of listeriosis. In addition to a primary module that could help assess current on-farm practices and potential control measures, future QRA models for minimally processed produce should also contain a refined sanitisation module able to estimate the effectiveness of various sanitisers as a function of type, concentration and exposure time. Finally, L. monocytogenes growth in the products down the supply chain should be estimated by using realistic time–temperature trajectories, and validated microbial kinetic parameters, both of them currently available in the literature.

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“…Similarly, Ji et al (2023) performed WGS on 322 foodborne L. monocytogenes strains from 13 regions and four food sources in China, and analyzed their antibiotic resistance and virulence genes in detail. In addition, through WGS, Song et al (2022) clarified the population structure and characteristics of 207 ST9 L. monocytogenes strains from 14 different countries and regions. Meanwhile, Hingston et al (2017) used WGS to reveal the potential relationship between L. monocytogenes genotypes and food-related stress tolerance phenotypes.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Whole-Genome Analysis of Stress Resistance-Related Genes inListeria monocytogenes

Dou,

Liu,

Panagou

et al. 2024

Preprint

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Listeria monocytogenes is a crucial foodborne pathogen with significant public health implications. This study analyzed whole-genome sequences (WGS) of L. monocytogenes strains from public databases, examining associations between resistance genes, lineage, strain type, isolation source, and geography. Results revealed that after eliminating duplicates and strains with incomplete WGS, a total of 316 strains were deemed suitable for subsequent analyses. Within these strains, lineages I and II were extensively distributed, predominantly isolated from clinical and food sources. 56.65% of these strains fell into seven major Clonal Complexes (CC), identified by Multilocus Sequence Typing (MLST), correlating significantly with isolation information. Analysis of 46 resistance-related genes showed a high consistency of resistance genes in the same type of strains, hinting at a potential causal chain of 'habits-foods-environments evolutions'. Moreover, the standard strains exhibit similar gene carriage rates as the sample strains, with multiple variations observed in acid-resistance genes. In conclusion, through a comprehensive analysis of the L. monocytogenes genome sequences, this study deepens our understanding of the differences and associations between its lineage, strain typing, isolation sources, geographical distribution, and resistance genes. It has also explored the potential impact of environmental noise on the expression of these genes, offering a scientific foundation for devising more effective prevention and control strategies against L. monocytogenes. Future endeavors should further dissect the functions of stress resistance genes and the variations in their expression, with the aim of gaining a deeper insight into the risks posed by L. monocytogenes to public health safety.

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The population structure and genetic diversity of Listeria monocytogenes ST9 strains based on genomic analysis

Cited by 8 publications

References 55 publications

Unveiling the Mutations and Conservation of InlA in Listeria monocytogenes

Unveiling the Mutations and Conservation of InlA in Listeria monocytogenes

A Critical Review of Risk Assessment Models for Listeria monocytogenes in Produce

Whole-Genome Analysis of Stress Resistance-Related Genes inListeria monocytogenes

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