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A novel virulent core genome multilocus sequence type CT 11424 of Listeria monocytogenes isolate causing stillbirth in Bangladesh

Abstract

Background

Listeria monocytogenes is a foodborne pathogen that can lead to severe pregnancy outcomes. This study reports the clinical and genomic characteristics of a Listeria-mediated stillbirth identified in January 2022 through the Child Health and Mortality Prevention Surveillance (CHAMPS) project in Bangladesh. The Lm-BD-CHAMPS-01 isolate was recovered from the blood and cerebrospinal fluid (CSF) of a male stillborn. Maternal history, clinical, and demographic data were collected by the CHAMPS surveillance platform. An expert panel evaluated all reports to determine the role of L. monocytogenes infection in the causal chain of stillbirth. Genomic characterization included multilocus sequence typing (MLST), core genome MLST (cgMLST), serotyping, and the presence or absence of virulence genes. Genetic divergence and phylogenetic analyses were conducted to determine the relationship with other reported isolates globally.

Results

The isolate Lm-BD-CHAMPS-01 was identified as a novel cgMLST CT11424. It belonged to ST 308, Serotype 4b, Clonal Complex 1, and Phylogenetic Lineage 1. Key L. monocytogenes virulence genes facilitating the crossing of the placental barrier, including full-length inlA, LIPI-1, and LIPI-3, were detected. The isolate was closely related to clinical L. monocytogenes isolates, as determined by GrapeTree based on cgMLST. SNP-based phylogenetic analysis found Lm-BD-CHAMPS-01 to be the most distant from other CC1 isolates in the database. Possible sources of infection included the consumption of contaminated raw vegetables or exposure to pigeons.

Conclusions

This is the first genome sequence of clinical L. monocytogenes from Bangladesh, which also caused stillbirth. Rural healthcare professionals should be aware of L. monocytogenes infection risks during pregnancy. Pregnant women should be counseled on the dangers of exposure to animals or birds and consumption of potentially contaminated raw food to prevent adverse pregnancy outcomes due to L. monocytogenes infection.

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Introduction

Listeria monocytogenes infection in humans and ruminants leads to septicemia, gastroenteritis, and central nervous system infections [1]. L. monocytogenes multiplies intracellularly and is capable of cell-to-cell transmission, avoiding the extracellular space [2]. The pathogen is vertically transmitted from pregnant women to fetuses by crossing the placenta [3]. Nearly, 27% of all infections with L. monocytogenes occur in pregnant women and infection during pregnancy can lead to 20% of fetal loss [1]. Listeriosis during pregnancy is often asymptomatic or presents with mild or non-specific symptoms. Symptoms may exert as fever, diarrhoea, respiratory tract symptoms or preterm rupture of membrane [4]. Therefore, many L. monocytogenes infections during pregnancy remain undiagnosed, especially in low- and middle-income countries like Bangladesh.

L. monocytogenes is commonly found in the environment [5, 6]. This pathogen has been reported in the feces of sheep/goats, cattle [7], dogs, rats [8], chickens, pigeons [9, 10], and crows [11], as well as in cloacal swabs of chickens and gulls [12]. These animals are potential sources of contamination for both raw and processed food consumed by humans. In developed countries, outbreaks of L. monocytogenes infection have been linked to various food sources, including meat, fish, mixed dishes, vegetables, juices, and dairy products [5]. L. monocytogenes contamination in market and restaurant produce, such as cabbage, corn, carrots, lettuce, cucumbers, parsley, and salad mixes, is well reported [13,14,15,16]. L. monocytogenes enters food processing facilities through contaminated raw ingredients, making it a significant food safety concern. Certain strains can persist for extended periods in processing plants, acting as constant sources of cross-contamination due to their ability to adhere to abiotic surfaces. Eradicating L. monocytogenes, even with the most stringent safety protocols, can be challenging [17].

The key virulence related genes of L. monocytogenes are hly,actA,plcA,plcB and mpl gene found in Listeria pathogenicity island-1 [18]. A crucial virulence factors is internalins including inlA and inlB [19].

L. monocytogenes is classified into four distinct evolutionary lineages denoted I, II, III, and IV, with most isolates belonging to I and II [20]. Serovar 1/2b and 4b of lineage I are responsible for 95% of listeriosis cases in humans, with 4b being the predominant serovar among clinical isolates and outbreaks [19]. Major clonal complexes (CC) CC1, CC2, CC4, and CC6 of lineage I are associated with clinical listeriosis [21]. Few reports on genomic investigation of L. monocytogenes are available from South Asia. L. monocytogenes sequences reported from India (animal and human aborted material) from 2006 to 2014, belongs to phylogenetic lineage I and clonal complex CC1. As of July 2023, there are few publications available regarding the detection of L. monocytogenes from Bangladesh [22,23,24]. L. monocytogenes has been detected in goat/sheep abattoir environments, sick goats, frozen shrimp, and locally manufactured cosmetics. The only reported clinical listeriosis case was from a female cancer patient in Bangladesh [25]. All of these studies used culture-based detection except one, which used molecular detection by PCR system.

We isolated L. monocytogenes from postmortem specimens of a stillbirth collected through Child Health and Mortality Prevention Surveillance (CHAMPS) using microbial culture and detected the bacteria using TaqMan Array Card based Real-time PCR system [26]. Till now whole genome sequence of L. monocytogenes is unavailable from Bangladesh. Availability of genomic data will aid public health authorities, to be aware regarding pathogenicity of locally circulating clinical L. monocytogenes strains specially during pregnancy and guide future epidemiological studies. Here, we report on an L. monocytogenes mediated stillbirth as well as the only clinical L. monocytogenes isolate reported from Bangladesh, using next-generation sequencing to understand the molecular characteristics and virulence factors of the pathogen.

Methods

Study settings

The CHAMPS is a multi-country project collecting data from six countries of sub-Saharan Africa and South Asia (only Bangladesh) as of 2022. In Bangladesh, the sites are the Rajbari (Baliakandi) and Faridpur districts. These districts are about 130 km away from capital of Bangladesh, the Dhaka city. The project has implemented a minimally invasive tissue sampling (MITS) technique for collecting postmortem specimens from stillbirths and under-5 deaths in low-and-middle income settings. Collected specimens from stillbirths are blood, CSF, rectal swab, lung tissue for microbiological investigations. Clinical, demographic and laboratory diagnosis information of the deceased along with maternal information are reviewed by a panel of experts termed DeCoDe (Determination of Cause of Death) panel to identify the cause of death. More information regarding the CHAMPS protocols and methods can be found at [27,28,29].

Specimen collection

The body was received for postmortem sampling within 1 h of delivery of the stillbirth. After receiving the body, a skilled technician collected anthromorphic measurement and performed gross inspection. Gross inspection included recording fresh or grade of maceration. The body was disinfected using iodine solution at the area of the body to be punctured. A spinal puncture needle was used to collect CSF from the cisterna magna. Using another spinal puncture needle, blood was collected from midway between the sternal notch and acromioclavicular joint. Collected whole blood and CSF was distributed for both microbiological culture and molecular detection of infectious agents.

Identification and antibiotic susceptibility test of L. monocytogenes isolate

Microbial culture was performed from postmortem blood and cerebrospinal fluid (CSF) specimens. The bacterial isolate on blood agar were identified using the Vitek-2 system by Biomerieux (France). The antimicrobial sensitivity was determined following manufacturer’s instruction for Vitek-2 P628 AST card applying CLSI criteria for Enterococci [30]. The isolate was named Lm-BD-CHAMPS-01. Additionally, Blood and CSF was investigated using TaqMan Array Card based Real-time PCR (TAC) system for detection of L. monocytogenes DNA [31].

Whole genome sequencing

Lm-BD-CHAMPS-01 DNA was extracted from a pure culture using the DNeasy Blood and Tissue Kits with lysozyme pretreatment (Qiagen, Germany; cat. no 51604). DNA library for whole genome sequencing was prepared from 1 ng of DNA with Nextera XT DNA Library Preparation Kit (Illumina Inc, San Diego, CA, USA; cat. no 20060059). The sequencing procedure was carried out on the MiSeq platform (IlluminaInc, USA), employing the v3 reagent cartridge using 522 cycles with standards 251-bp paired-end reads for sequencing (Illumina Inc, San Diego, CA, United States; cat no MS-102-3003). All experiments were performed following the manufacturer’s guidelines.

Genome assembly and characterization

The quality of the sequenced raw reads was assessed with FastQC v.0.11.9, followed by trimming of the low-quality reads using Trimmomatic v.0.39 [32, 33]. De novo genome assembly was performed with SPAdes v.3.15.2 [34]. Reordering contigs of the draft genome was done using ABACAS v.1.3.2 [35]. The quality of the draft genome assembly was evaluated with QUAST v.5.2.0, excluding contigs < 200 bp and annotated using the prokka v.1.14.6 [36, 37]. Both K-mer and ribosomal multilocus sequence typing (rMLST) was used to identify the species of the draft assembly using KmerFinder v.3.2 from Center for Genome Epidemiology and rMLST from PubMLST, respectively [38, 39]. The Bacterial Isolate Genome Sequence Database (BIGSdb) for the L. monocytogenes was used to deduce the seven-gene multilocus sequence typing (ST), the core genome multilocus sequence typing (cgMLST) and CC. The BIGSdb server was also used to screen for the presence of virulence genes, antimicrobial resistance genes, and disinfectants resistance genes [40]. The detection of phage and plasmid was performed using Phaster and Platon v.1.7, respectively [41, 42]. Syntenic relationship was visualized using SimpleSynteny v.1.4 [43].

Minimum spanning and SNP-based phylogenetic analysis

A Minimum Spanning Tree (MST) was constructed using the GrapeTree plugin of PubMLST with default parameters and a manually prepared metadata table (Supplementary Table 1) [44]. L. monocytogenes isolates with a unique cgMLST profile ID (n = 695) in the BIGSdb were chosen for the MST. A phylogenetic tree was built with 19 isolates from evolutionary lineage I of human source, one isolate from food source and L. innocua as an outgroup. BIGSdb was used to retrieve the isolates information and the selection criteria ensured only one isolate per clonal complex per year from each country and contained the raw reads information (Supplementary Table 2) [40]. Raw reads of the selected isolates were retrieved from National Center for Biotechnology Information, which were used as inputs to get the preserved SNP consensus output file using the CFSAN pipeline v.2.2.1. Default configure file of CFSAN was updated by adding out_group option to FilterRegions_ExtraParams parameter for excluding outgroup from SNP filtering [45]. IQtreeweb server was used to build a maximum likelihood tree from the preserved SNP consensus file using best auto detected substitution model (TVMe + ASC) with default parameters and visualized using interactive tree of life (iTOL) [46, 47]. This whole genome shotgun project has been deposited at DDBJ/ENA/GenBank under the accession JBFRXX000000000.

Results

Clinical narrative

CHAMPS project has been operating in Rajbari (Baliakandi) and Faridpur district of Bangladesh since September 2017. As of December 2023, a total of 848 MITS have been conducted from stillbirths and postmortem under-5 deaths to determine the cause of death. On 25 January 2022, L. monocytogenes was isolated from one case (n = 1 of 848) during the study period. The 22-year-old pregnant woman from Baliakandi at 32-week gestational age was admitted to Bangabandhu Sheikh Mujib Medical College& Hospital (BSMMCH). The household reported maintaining a flock of five pigeons and a single hen. During pregnancy period, the mother reportedly consumed cow milk but boiled. Maternal complaints during pregnancy were severe headaches, blurring of vision, pre-eclampsia and anemia (Table 1). From the mother’s recall, she received a total of seven antenatal care visits during this pregnancy. Maternal complaints during admission for delivery were intrauterine fetal demise confirmed by ultrasonography, fever, burning sensation during micturition and lower abdominal pain for seven hours. The post-admission examination failed to detect fetal movement and heartbeat. After admission, a maternal complete urine routine examination provided normal findings. After a few hours of hospital admission, a male stillborn baby with breech presentation was delivered by normal vaginal delivery. Following CHAMPS protocol, the family was approached for consent to conduct MITS. The body was macerated without any other significant physical observations all over the body. Body weight during MITS was recorded at 1820 g. CHAMPS laboratory platform isolated L. monocytogenes from both blood and CSF culture. Resistance was observed against clindamycin among tested antibiotics (Table 2). L. monocytogenes DNA was detected from whole blood specimen using TAC (Cycle threshold 26.2). The DeCoDe panel determined the underlying cause of this antepartum stillbirth as intrauterine infection by L. monocytogenes. The panel also suggested maternal infection was the main condition affecting the fetus. To understand the virulence gene landscape and phylogeny of the Lm-CHAMPS-BD-01, we used next-generation sequencing to analyze the draft genome sequence. The antibiotic resistance pattern was same for both blood and CSF derived isolate (Table 2). As L. monocytogenes was detected from blood sample using both microbial culture and TAC; we selected this isolate for whole genome sequencing.

Table 1 Clinical features available from the pregnant women and the stillborn infected with Lm-BD-CHAMPS-01
Table 2 Antibiotic susceptibility of L. monocytogenes isolate Lm-BD-CHAMPS-01 determined using Vitek-2 system applying CLSI criteria for Enterococci

Lm-BD-CHAMPS-01 has a novel cgMLST type of L. monocytogenes

The Lm-BD-CHAMPS-01 genome had 13 contigs, a genome size of 2,932,029 bp, and a 37% GC content. The genome coverage was 127x, with an N50 of 1,491,565 bp and an L50 of 1 bp. Prokka annotation found 2873 CDS, 5 rRNA, 1 repeat region, 56 tRNA, and 1 tmRNA (Fig. 1). In comparison, reordered annotated genome using F2365 as reference strain found 2872 CDS, 2 rRNA, 1 repeat region, 41 tRNA, and 1tmRNA (Supplementary Fig. 1). MLST and K-mer dependent analysis confirmed the sequence as L. monocytogenes. Using the BIGSdb tool, the isolate was identified as ST 308, CC1, lineage I, sub-lineage SL150, and PCR serogroup 4b. cgMLST analysis declared the isolates as a novel type, and a new cgMLST profile identification number, CT 11424, was provided.

Fig. 1
figure 1

Genomic features of Lm-BD-CHAMPS-01. The Circular presentation of annotated genetic features of genome of Lm-BD-CHAMPS-01 was generated using Proksee

Virulence and stress-associated genes

Lm-BD-CHAMPS-01 was found to contain 65 virulence genes (Supplementary Table 3). Genes lap, dltA, fbpA, inlJ, lapB, actA and inlF were found which are known to aid bacterial adhesion. Invasion-related genes inlA, inlB, inlE, vip, ant, iap, lgt, and lepA without any premature stop codon (full length) were also identified. The isolate harbored several genes to survive inside intracellular environment including llo (Listeriolysin O), plcA, plcB (enhance phagosomal membrane disruption), prsA2, lsp, svpA. For intracellular growth hpt, IpA1 and oppA genes (survival inside macrophage) were detected. L. monocytogenes 4b serotype-specific gene cassette gltA-gltB was present. These genes were found arranged inside Listeria pathogenicity island (LIPI-1) 1 (hly,mpl,actA,plcB,plcA,prfA) and LIPI-3 (llsA, llsG, llsH, llsX, llsB, llsY, llsD, llsP) [48]. Gene synteny of these two pathogenicity islands was similar when compared with the F2635 reference strain (Supplementary Fig. 2). Listeria genomic island locus, LGI-2_LMOSA2310 and LGI-2_LMOSA2320 were found Lm-BD-CHAMPS-01. The presence or absence of genes was illustrated using the isolates included in the phylogenetic analysis (Fig. 2). The analysis showed that Lm-BD-CHAMPS-01 has the same virulence and stress adaptation profile as the all CC1 isolates, except one L. monocytogenes from Chile. It also contains multidrug resistance transporters mdrM. The isolate contains one intact phage (PHAGE_Lister_vB_LmoS_293; GenBank accession number NC_02892). The intact phage is 42.4 kb long and has 64 total proteins. From this draft genome of Lm-BD-CHAMPS-01, we were unable to find any plasmid.

Fig. 2
figure 2

Presence and absence of virulence genes in Lm-BD-CHAMPS-01.Lm-BD-CHAMPS-01 was compared with clonal complexes from lineage I and II (x-axis). The y-axis represents the function of virulence genes. The data for the presence/absence of virulence genes was generated using BIGSdb server

We compared allelic profile of the gene from Listeria Pathogenicity Island I and II with those from lineage I and clonal complex I. In Lm-BD-CHAMPS-01 had same allelic profile compared with other isolates except for actAllsB and llsD. For these three genes allelic profile of Lm-BD-CHAMPS-01 was 325, 38 and 11 respectively (Supplementary Table 4). These allelic profiles are unique to Lm-BD-CHAMPS-01.

Genetic relatedness and phylogenetic analysis of L. monocytogenes isolate

We calculated the MST, to visualize the genomic relatedness of Lm-BD-CHAMPS-01 in comparison to cgMLSTs of L. monocytogenes from different sources (Fig. 3). Among 1748 core genes, 1746 were detected from the Lm-BD-CHAMPS-01; only two hypothetical genes were missing. In MST, the isolate was differed with clinical origin cgMLST CT 5635 with 484 alleles. L. monocytogenes CT 5635 was located in the center of the cluster. Most genetically adjacent of L. monocytogenes CT5635, was from a food source (CT 2830, 64 allelic difference) and animal feed (CT6145, 23 allelic difference). The other connected clinical isolate was CT2872 with 29 allelic differences (Fig. 3).

Fig. 3
figure 3

Minimum Spanning tree demonstrating the divergence of Lm-BD-CHAMPS-01 with other L. monocytogenes sequences. The MST was built with 695 LmcgMLST sequences available in the BIGSdb-LM database. Lm-BD-CHAMPS-01 resides within the circle in the left figure. Zooming in on the circle shows the location of Lm-BD-CHAMPS-01 (CT11424) with respect to the nearest isolate. Lm-BD-CHAMPS-01 is 484 alleles different from the closest isolate (CT5635), which is a clinical isolate

To investigate the evolutionary origin of Lm-BD-CHAMPS-01 phylogenetic analysis was performed with selected sequences of lineage I from global isolates (Fig. 4). The log-likelihood of the tree was − 360.7421. The Lm-BD-CHAMPS-01 diverged from L. monocytogenes reported from the food source of the USA in 1985. Indian isolates reported from 2004 to 2014 all clustered together and were adjacent to Lm-BD-CHAMPS-01. Among all the CC1 isolates, Lm-BD-CHAMPS-01 is placed in a distant position indicating that it has acquired more changes (most distant on the tree scale at 0.63) compared to nearest clades which includes Indian sequences (Supplementary Table 5).

Fig. 4
figure 4

SNP based Phylogenetic analysis of Lm-BD-CHAMPS-01. SNP based maximum likelihood tree indicating Lm-BD-CHAMPS-01 (CC1 Bangladesh 2022 Human) is the most diverged among all the CC1. Listeria innocua was used as an outgroup. The tree was visualized in iTOL

Discussion

Here we report, genomic analysis of a L. monocytogenes strain causing stillbirth in Bangladesh. Phylogenetic analysis based on cgMLST identified the L. monocytogenes as a novel cgMLST CT 11424. The clinical narrative aligns with the genomic landscape of the isolate showing all major virulence genes required for crossing the placental barrier through inter-cellular movement.

The Lm-BD-CHAMPS-01 isolate is a virulent strain to cause stillbirth which is indicated by the presence of listeriolysin Oexpressing gene llo and other genes required for intracellular survival and intercellular movement to cross the placental barrier [49]. The presence of full-length lap (adhesion protein) mediates adhesion of with host cell and gene inlA facilitates its ability to cross the intestinal as well as placental barrier [50, 51]. In mice models, it has been shown that the inlF gene enhances the early stage of infection by modulating host inflammatory responses [52]. Recently, it has been reported that the actA gene enhances the shedding of L. monocytogenes by several magnitudes which leads to better transmission from host to environment [53]. It also expresses multidrug resistance transporter mdrM which triggers host immunity leading to activation of the placental immune system against the fetus.

Although virulent, the Lm-BD-CHAMPS-01 remains sensitive to a wide range of antibiotics. Resistance was only observed for clindamycin against which is commonly reported for L. monocytogenes [54]. However, the mechanism of clindamycin resistance in this pathogen is still debated. L. monocytogenes possesses natural resistance against cephalosporin antibiotics, hence was untested [55]. The antibiotic sensitivity pattern and health care-seeking approach (7 visits) of the pregnant women discussed here showed that the antenatal care system was unable to identify the infection. Timely diagnosis could have prevented this L. monocytogenes mediated stillbirth using antibiotics such as erythromycin which is considered safe during pregnancy [56]. This indicates the importance of availability of microbiological diagnosis during antenatal care. Any plasmids remain undetected however a prophage was found in Lm-BD-CHAMPS-01. The prophage PHAGE_Lister_vB_LmoS_293 has been reported recently from South Africa from both pathogenic L. monocytogenes and less-pathogenic L. innocua [57, 58]. However, the exact role of this prophage in L. monocytogenes virulence or evolution is yet to be discovered.

Globally, reporting of L. monocytogenes outbreaks are uncommon, reports of at least two cases from same place are considered as outbreaks [59]. A major reason for unreported listeriosis is the lack of severe symptoms in non-pregnant individuals. As a result, laboratory diagnosis is limited especially in low- and middle-income countries. Postmortem investigation of neonatal deaths across CHAMPS sites have reported 6 L. monocytogenes mediated neonatal deaths including 4 cases within first week of birth [60]. During pregnancy, L. monocytogenes invades the placenta where inflammatory and immune-regulatory T-cell response is modulated to promote maternal tolerance to the semi-allogeneic fetus. This leads to increased host susceptibility to L. monocytogenes infection. However, L. monocytogenes infection triggers innate immune response which ultimately triggers host immune response in the placenta leading to fetal damage or demise [61].

The ST308 was reported previously from Chinese fresh aquatic products (2011–2016) and confiscated foods from non-European passengers (2012–2013) at a Spanish airport [62, 63]. Lm-BD-CHAMPS-01 also belongs to serovar 4b which is one of the predominant serovar reported to cause listeriosis in humans and ruminants. Strain of serover 4b is more adapted to mammalian host than other strains [64, 65]. Strains from lineage I and serovar 4b have shown the lowest diversity among the other lineages; and lowest levels of recombination among the lineages indicating genomic stability [55]. This is also evident from the detection of similar isolates from 2004 to 2014 in India, which shares a large border with Bangladesh. L. monocytogenes serotype 4b has been reported from an outbreak of urban poultry flocks in US [66]. The same serotype has been also reported from fecal samples of hen in Germany [67]. Although out of scope of this analysis, the presence of domestic pigeon and hen in the household could be a potential source of L. monocytogenes infecting the pregnant women or through her food.

Allelic distance using core genome MST analysis indicates Lm-BD-CHAMPS-01 has gathered more mutations from other analyzed L. monocytogenes isolates. Analysis of SNPs also showed unique allelic profile for important virulence genes including actA. The phenotypic change due to this allelic profile is beyond the scope of this analysis. Additionally, analysis showed the isolate is phylogenetically distant from neighboring strain reported from India. A limitation of evolutionary analysis is lack of whole genome sequences from nearby geographic location and lack of sequences from recent time. It can be anticipated that if more sequence data from Bangladesh were available, Bangladeshi isolates might form their sub-clade. However, the low evolutionary rate of L. monocytogenes serovar 4b strains, it can be assumed that the isolate Lm-BD-CHAMPS-01 has been also circulating in the population for a long time.

In summary, the Lm-BD-CHAMPS-01 isolate is a genetically stable and virulent strain likely circulating at least in the community of our study area. Circulation of such virulent strains indicates the necessity to consider L. monocytogenes infection as a notifiable disease for diagnostic facilities. Backyard poultry along with free living birds could be investigated as a potential carrier of L. monocytogenes in Bangladeshi households. However, consumption of raw food contaminated with the pathogen cannot be ruled out. Overall, dietary guidelines and exposure to animals adapted for local food habit and local culture should be developed considering potential L. monocytogenes infection during pregnancy.

Conclusions

This study presents the identification and characterization of a virulent Listeria monocytogenes strain, Lm-BD-CHAMPS-01, causing stillbirth in Bangladesh. Our findings highlight the presence of key virulence genes that enable the pathogen to cross the placental barrier, posing significant risks during pregnancy. The genomic stability and evolutionary insights suggest this strain’s prolonged history within the region. Importantly, the sensitivity of Lm-BD-CHAMPS-01 to several tested antibiotics underscores the potential for prevention and treatment through timely diagnosis and quality antenatal care. The findings also suggest that backyard poultry, such as hens, and free-living birds, such as pigeons, could be potential reservoirs, necessitating further investigation. The development of locally adapted dietary and animal exposure guidelines to prevent L. monocytogenes infections during pregnancy will be useful. This report contributes valuable insights to the field of public health microbiology as well as maternal and neonatal health. The findings suggest advocacy for enhanced surveillance and preventive measures against Listeria infections.

Data availability

This whole genome shotgun project has been deposited at DDBJ/ENA/GenBank under the accession JBFRXX000000000. The codes used in the study is available in the Supplementary material 1.

Abbreviations

BD:

Bangladesh

CC:

Clonal Complex

cgMLST:

core genome Multilocus Sequence Typing

CHAMPS:

Child Health and Mortality Prevention Surveillance

CLSI:

Clinical and Laboratory Standards Institute

CSF:

Cerebrospinal Fluid

DeCoDe:

Determination of Cause of Death

LIPI:

Listeria Pathogenicity Island

L. monocytogenes:

Listeria monocytogenes

MITS:

Minimally Invasive Tissue Sampling

MLST:

Multilocus Sequence Typing

MST:

Minimum Spanning Tree

TAC:

TaqMan Array Card

References

  1. Allerberger F, Huhulescu S. Pregnancy related listeriosis: treatment and control. Expert Rev Anti Infect Ther. 2015;13(3):395–403. https://doiorg.publicaciones.saludcastillayleon.es/10.1586/14787210.2015.1003809.

    Article  CAS  PubMed  Google Scholar 

  2. Corr SC, O’Neill LAJ. Listeria monocytogenes infection in the face of innate immunity. Cell Microbiol. 2009;11(5):703–9. https://doiorg.publicaciones.saludcastillayleon.es/10.1111/j.1462-5822.2009.01294.x.

    Article  CAS  PubMed  Google Scholar 

  3. Charlier C, Perrodeau É, Leclercq A, Cazenave B, Pilmis B, Henry B, et al. Clinical features and prognostic factors of listeriosis: the MONALISA national prospective cohort study. Lancet Infect Dis. 2017;17(5):510–9. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/S1473-3099(16)30521-7.

    Article  PubMed  Google Scholar 

  4. Basri NI. Listeriosis in pregnancy: a challenge in diagnosis. BMJ Case Rep. 2024;17(4):e259938. https://doiorg.publicaciones.saludcastillayleon.es/10.1136/bcr-2024-259938.

    Article  PubMed  Google Scholar 

  5. Grigore-Gurgu L, Bucur FI, Mihalache OA, Nicolau AI. Comprehensive Review on the Biocontrol of Listeria monocytogenes in Food products. Foods (Basel Switzerland). 2024;13(5). https://doiorg.publicaciones.saludcastillayleon.es/10.3390/foods13050734.

  6. Schoder D, Guldimann C, Märtlbauer E. Asymptomatic carriage of Listeria monocytogenes by animals and humans and its impact on the Food Chain. Foods (Basel Switzerland). 2022;11(21). https://doiorg.publicaciones.saludcastillayleon.es/10.3390/foods11213472.

  7. Obaidat MM, Stringer AP. Prevalence, molecular characterization, and antimicrobial resistance profiles of Listeria monocytogenes, Salmonella enterica, and Escherichia coli O157:H7 on dairy cattle farms in Jordan. J Dairy Sci. 2019;102(10):8710–20. https://doiorg.publicaciones.saludcastillayleon.es/10.3168/jds.2019-16461.

  8. Iida T, Kanzaki M, Maruyama T, Inoue S, Kaneuchi C. Prevalence of Listeria monocytogenes in intestinal contents of healthy animals in Japan. J Vet Med Sci. 1991;53(5):873–5. https://doiorg.publicaciones.saludcastillayleon.es/10.1292/jvms.53.873.

    Article  CAS  PubMed  Google Scholar 

  9. Hellström S, Kiviniemi K, Autio T, Korkeala H. Listeria monocytogenes is common in wild birds in Helsinki region and genotypes are frequently similar with those found along the food chain. J Appl Microbiol. 2008;104(3):883–8. https://doiorg.publicaciones.saludcastillayleon.es/10.1111/j.1365-2672.2007.03604.x

    Article  PubMed  Google Scholar 

  10. Weber A, Potel J, Schäfer-Schmidt R. The occurrence of Listeria monocytogenes in fecal samples of pigeons. Berl Munch Tierarztl Wochenschr. 1995;108(1):26–7.

    CAS  PubMed  Google Scholar 

  11. Yoshida T, Sugimoto T, Sato M, Hirai K. Incidence of Listeria monocytogenes in wild animals in Japan. J Vet Med Sci. 2000;62(6):673–5. https://doiorg.publicaciones.saludcastillayleon.es/10.1292/jvms.62.673.

    Article  CAS  PubMed  Google Scholar 

  12. Pohjola L, Nykäsenoja S, Kivistö R, Soveri T, Huovilainen A, Hänninen ML, et al. Zoonotic Public Health Hazards in Backyard Chickens. Zoonoses Public Health. 2016;63(5):420–30. https://doiorg.publicaciones.saludcastillayleon.es/10.1111/zph.12247.

    Article  CAS  PubMed  Google Scholar 

  13. Sy KV, Murray MB, Harrison MD, Beuchat LR. Evaluation of gaseous chlorine dioxide as a sanitizer for killing Salmonella, Escherichia coli O157:H7, Listeria monocytogenes, and yeasts and molds on fresh and fresh-cut produce. J Food Prot. 2005;68(6):1176–87. https://doiorg.publicaciones.saludcastillayleon.es/10.4315/0362-028x-68.6.1176.

    Article  CAS  PubMed  Google Scholar 

  14. Zhu Q, Gooneratne R, Hussain MA. Listeria monocytogenes in Fresh Produce: Outbreaks, Prevalence and Contamination Levels. Foods (Basel, Switzerland). 2017;6(3).d10.3390/foods6030021

  15. Skalina L, Nikolajeva V. Growth potential of Listeria monocytogenes strains in mixed ready-to-eat salads. Int J Food Microbiol. 2010;144(2):317–21. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.ijfoodmicro.2010.10.001.

    Article  PubMed  Google Scholar 

  16. Hou W, Ma Y, Zhang C, Zhao W, Zhao S, Wang P, et al. Investigation on the inactivation effect and mechanism of Listeria monocytogenes in fresh-cut cucumber during storage by ultrasound combined with sodium hypochlorite. Ultrason Sonochem. 2023;101:106706. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.ultsonch.2023.106706.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Stessl B, Fricker M, Fox E, Karpiskova R, Demnerova K, Jordan K, et al. Collaborative survey on the colonization of different types of cheese-processing facilities with Listeria monocytogenes. Foodborne Pathog Dis. 2014;11(1):8–14. https://doiorg.publicaciones.saludcastillayleon.es/10.1089/fpd.2013.1578.

    Article  PubMed  Google Scholar 

  18. Osek J, Wieczorek K. Listeria monocytogenes-how this Pathogen uses its virulence mechanisms to infect the hosts. Pathog (Basel Switzerland). 2022;11(12). https://doiorg.publicaciones.saludcastillayleon.es/10.3390/pathogens11121491.

  19. Vines B, Swaminathan A. Identification and characterization of Nucleotide sequence differences in three virulence-Associated genes of Listeria monocytogenes strains representing clinically important serotypes. Curr Microbiol. 1998;36(5):309–18. https://doiorg.publicaciones.saludcastillayleon.es/10.1007/s002849900315.

    Article  CAS  PubMed  Google Scholar 

  20. Orsi RH, den Bakker HC, Wiedmann M. Listeria monocytogenes lineages: Genomics, evolution, ecology, and phenotypic characteristics. Int J Med Microbiol. 2011;301(2):79–96. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.ijmm.2010.05.002.

    Article  CAS  PubMed  Google Scholar 

  21. Chenal-Francisque V, Lopez J, Cantinelli T, Caro V, Tran C, Leclercq A, et al. Worldwide distribution of major clones of Listeria monocytogenes. Emerg Infect Dis. 2011;17(6):1110–2. https://doiorg.publicaciones.saludcastillayleon.es/10.3201/eid1706.101778.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Noor R, Hasan MF, Rahman MM. Molecular characterization of the virulent microorganisms along with their drug-resistance traits associated with the export quality frozen shrimps in Bangladesh. Springerplus. 2014;3(1):469. https://doiorg.publicaciones.saludcastillayleon.es/10.1186/2193-1801-3-469.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Paul P, Faruque MR, Rahman MK, Das P, Chowdhury MYE. Study on bacterial pathogens through multiplex polymerase chain reaction system and their antimicrobial resistance pattern in goats presumed with fever and/or diarrhea. Vet World. 2021;1080–92. https://doiorg.publicaciones.saludcastillayleon.es/10.14202/vetworld.2021.1080-1092.

  24. Nusrat N, Ahmad Zahra M, Ahmed A, Haque F. Assessment of potential pathogenic bacterial load and multidrug resistance in locally manufactured cosmetics commonly used in Dhaka metropolis. Sci Rep. 2023;13(1):7787. https://doiorg.publicaciones.saludcastillayleon.es/10.1038/s41598-023-34782-9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Nahid MA, Sadique T, Mazumder R, Abdullah A, Sami AB, Rahaman MA, et al. Listeria monocytogenes infection in a 56-year-old female cancer patient: a case report. JMM Case Rep. 2015;2(4). https://doiorg.publicaciones.saludcastillayleon.es/10.1099/jmmcr.0.000076.

  26. Sultana N, Pervin M, Sultana S, Islam M, Mostaree M, Khan MAHNA. Pathological study and molecular detection of zoonotic diseases in small ruminants at slaughter houses in Mymensingh, Bangladesh. Vet World. 2022;2119–30. https://doiorg.publicaciones.saludcastillayleon.es/10.14202/vetworld.2022.2119-2130.

  27. Salzberg NT, Sivalogan K, Bassat Q, et al. Mortality surveillance methods to identify and Characterize Deaths in Child Health and Mortality Prevention Surveillance Network Sites. Clin Infect Dis. 2019;69(Suppl 4):S262–73. https://doiorg.publicaciones.saludcastillayleon.es/10.1093/cid/ciz599.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Breiman RF, Blau DM, Mutevedzi P, et al. Postmortem investigations and identification of multiple causes of child deaths: an analysis of findings from the Child Health and Mortality Prevention Surveillance (CHAMPS) network. PLoS Med. 2021;18(9):e1003814. https://doiorg.publicaciones.saludcastillayleon.es/10.1371/journal.pmed.1003814. Published 2021 Sep 30.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Taylor AW, Blau DM, Bassat Q, et al. Initial findings from a novel population-based child mortality surveillance approach: a descriptive study. Lancet Glob Health. 2020;8(7):e909–19. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/S2214-109X(20)30205-9.

    Article  PubMed  PubMed Central  Google Scholar 

  30. CLSI. Performance Standards for Antimicrobial Susceptibility Testing, 33rd ed.

  31. Diaz MH, Waller JL, Theodore MJ, Patel N, Wolff BJ, Benitez AJ, et al. Development and Implementation of Multiplex TaqMan Array Cards for Specimen Testing at Child Health and Mortality Prevention Surveillance Site Laboratories. Clin Infect Dis. 2019;69(Suppl 4):S311–21. https://doiorg.publicaciones.saludcastillayleon.es/10.1093/cid/ciz571.

    Article  CAS  PubMed  Google Scholar 

  32. Leggett RM, Ramirez-Gonzalez RH, Clavijo BJ, Waite D, Davey RP. Sequencing quality assessment tools to enable data-driven informatics for high throughput genomics. Front Genet. 2013;4. https://doiorg.publicaciones.saludcastillayleon.es/10.3389/fgene.2013.00288.

  33. Bolger AM, Lohse M, Usadel B. Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics. 2014;30(15):2114–20. https://doiorg.publicaciones.saludcastillayleon.es/10.1093/bioinformatics/btu170.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Bankevich A, Nurk S, Antipov D, Gurevich AA, Dvorkin M, Kulikov AS, et al. SPAdes: a New Genome Assembly Algorithm and its applications to single-cell sequencing. J Comput Biol. 2012;19(5):455–77. https://doiorg.publicaciones.saludcastillayleon.es/10.1089/cmb.2012.002.1.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Assefa S, Keane TM, Otto TD, Newbold C, Berriman M. ABACAS: algorithm-based automatic contiguation of assembled sequences. Bioinformatics. 2009;25(15):1968–9. https://doiorg.publicaciones.saludcastillayleon.es/10.1093/bioinformatics/btp347.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Gurevich A, Saveliev V, Vyahhi N, Tesler G. QUAST: quality assessment tool for genome assemblies. Bioinformatics. 2013;29(8):1072–5. https://doiorg.publicaciones.saludcastillayleon.es/10.1093/bioinformatics/btt086.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Seemann T. Prokka: rapid prokaryotic genome annotation. Bioinformatics. 2014;30(14):2068–9. https://doiorg.publicaciones.saludcastillayleon.es/10.1093/bioinformatics/btu153.

    Article  CAS  PubMed  Google Scholar 

  38. Public databases for molecular typing. and microbial genome diversity.https://pubmlst.org/species-id.Accessed 12June 2023.

  39. KmerFinder 3. 2.https://cge.food.dtu.dk/services/KmerFinder/.Accessed 12June 2023.

  40. Bacterial Isolate Genome Sequence Database. (BIGSdb).https://pubmlst.org/software/bigsdb/.Accessed 12June 2023.

  41. Schwengers O, Barth P, Falgenhauer L, Hain T, Chakraborty T, Goesmann A. Platon: identification and characterization of bacterial plasmid contigs in short-read draft assemblies exploiting protein sequence-based replicon distribution scores. Microb Genomics. 2020;6(10). https://doiorg.publicaciones.saludcastillayleon.es/10.1099/mgen.0.000398.

  42. Arndt D, Grant JR, Marcu A, Sajed T, Pon A, Liang Y, et al. PHASTER: a better, faster version of the PHAST phage search tool. Nucleic Acids Res. 2016;44(W1):W16–21. https://doiorg.publicaciones.saludcastillayleon.es/10.1093/nar/gkw387.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  43. Veltri D, Wight MM, Crouch JA. SimpleSynteny: a web-based tool for visualization of microsynteny across multiple species. Nucleic Acids Res. 2016;44(W1):W41–5. https://doiorg.publicaciones.saludcastillayleon.es/10.1093/nar/gkw330.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  44. Zhou Z, Alikhan NF, Sergeant MJ, Luhmann N, Vaz C, Francisco AP, et al. GrapeTree: visualization of core genomic relationships among 100,000 bacterial pathogens. Genome Res. 2018;28(9):1395–404. https://doiorg.publicaciones.saludcastillayleon.es/10.1101/gr.232397.117.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  45. Davis S, Pettengill JB, Luo Y, Payne J, Shpuntoff A, Rand H, Strain E. CFSAN SNP Pipeline: an automated method for constructing SNP matrices from next-generation sequence data. PeerJ Comput Sci. 2015;1:e20. https://doiorg.publicaciones.saludcastillayleon.es/10.7717/peerj-cs.20.

    Article  Google Scholar 

  46. Jana Trifinopoulos L-T, Nguyen. Arndt Von Haeseler, Bui Quang Minh, W-IQ-TREE: a fast online phylogenetic tool for maximum likelihood analysis. Nucleic Acids Res, 44, Issue W1, 8 July 2016, Pages W232–W235, https://doiorg.publicaciones.saludcastillayleon.es/10.1093/nar/gkw256

  47. Letunic I, Bork P. Interactive tree of life (iTOL) v5: an online tool for phylogenetic tree display and annotation. Nucleic Acids Res. 2021;49(W1):W293–6. https://doiorg.publicaciones.saludcastillayleon.es/10.1093/nar/gkab301.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  48. Wiktorczyk-Kapischke N, Skowron K, Wałecka-Zacharska E. Genomic and pathogenicity islands of Listeria monocytogenes—overview of selected aspects. Front Mol Biosci. 2023. https://doiorg.publicaciones.saludcastillayleon.es/10.3389/fmolb.2023.1161486.

    Article  PubMed  PubMed Central  Google Scholar 

  49. Cossart P, Vicente MF, Mengaud J, Baquero F, Perez-Diaz JC, Berche P. Listeriolysin O is essential for virulence of Listeria monocytogenes: direct evidence obtained by gene complementation. Infect Immun. 1989;57(11):3629–36. https://doiorg.publicaciones.saludcastillayleon.es/10.1128/iai.57.11.3629-3636.1989.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  50. Drolia R, Bhunia AK. Crossing the intestinal barrier via Listeria Adhesion Protein and internalin A. Trends Microbiol. 2019;27(5):408–25. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.tim.2018.12.007.

    Article  CAS  PubMed  Google Scholar 

  51. Burkholder KM, Bhunia AK. Listeria monocytogenes Uses Listeria Adhesion Protein (LAP) To Promote Bacterial Transepithelial Translocation and Induces Expression of LAP Receptor Hsp60. Infect Immun. 2010;78(12):5062–73. https://doiorg.publicaciones.saludcastillayleon.es/10.1128/iai.00516-10.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  52. Ling Z, Zhao D, Xie X, Yao H, Wang Y, Kong S, et al. inlF enhances Listeria monocytogenes early-stage infection by inhibiting the inflammatory response. Front Cell Infect Microbiol. 2022;11. https://doiorg.publicaciones.saludcastillayleon.es/10.3389/fcimb.2021.748461.

  53. Travier L, Guadagnini S, Gouin E, Dufour A, Chenal-Francisque V, Cossart P et al. ActA Promotes Listeria monocytogenes Aggregation, Intestinal Colonization and Carriage. Monack DM, editor. PLoS Pathog. 2013;9(1):e1003131.https://doiorg.publicaciones.saludcastillayleon.es/10.1371/journal.ppat.1003131

  54. Escolar C, Gómez D, del Carmen Rota García M, Conchello P, Herrera A. Antimicrobial Resistance profiles of Listeria monocytogenes and Listeria innocua isolated from ready-to-eat products of animal origin in Spain. Foodborne Pathog Dis. 2017;14(6):357–63. https://doiorg.publicaciones.saludcastillayleon.es/10.1089/fpd.2016.2248.

    Article  CAS  PubMed  Google Scholar 

  55. Luque-Sastre L, Arroyo C, Fox EM, McMahon BJ, Bai L, Li F et al. Antimicrobial Resistance in Listeria Species. Aarestrup FM, Schwarz S, Shen J, Cavaco L, editors. Microbiol Spectr. 2018;6(4).https://doiorg.publicaciones.saludcastillayleon.es/10.1128/microbiolspec.arba-0031-2017

  56. Janakiraman V. Listeriosis in pregnancy: diagnosis, treatment, and prevention. Rev Obstet Gynecol. 2008;1(4):179–85.

    PubMed  PubMed Central  Google Scholar 

  57. Matle P, Mbatha, Magwedere M. Genomic diversity of common sequence types of Listeria monocytogenes isolated from ready-to-eat products of animal origin in South Africa. Genes (Basel). 2019;10(12):1007. https://doiorg.publicaciones.saludcastillayleon.es/10.3390/genes10121007.

    Article  CAS  PubMed  Google Scholar 

  58. Mafuna T, Matle I, Magwedere K, Pierneef RE, Reva ON. Comparative Genomics of Listeria Species Recovered from Meat and Food Processing Facilities. Denes TG, editor. Microbiol Spectr. 2022;10(5).https://doiorg.publicaciones.saludcastillayleon.es/10.1128/spectrum.01189-22

  59. Outbreaks. May. https://www.cdc.gov/Listeria/outbreaks/index.html.Accessed 23 2024.

  60. Mahtab S, Madhi SA, Baillie VL, Els T, Thwala BN, Onyango D et al. Causes of death identified in neonates enrolled through Child Health and Mortality Prevention Surveillance (CHAMPS), December 2016 –December 2021. Tappis H, editor. PLOS Glob Public Heal. 2023;3(3):e0001612.https://doiorg.publicaciones.saludcastillayleon.es/10.1371/journal.pgph.0001612

  61. Agbayani G, Wachholz K, Murphy SP, Sad S, Krishnan L. Type I interferons differentially modulate maternal host immunity to infection by Listeria monocytogenes and Salmonella enterica serovar typhimurium during pregnancy. Am J Reprod Immunol. 2019;81(1). https://doiorg.publicaciones.saludcastillayleon.es/10.1111/aji.13068.

  62. Rodríguez-Lázaro D, Ariza-Miguel J, Diez–Valcarce M, Stessl B, Beutlich J, Fernández-Natal I, et al. Identification and molecular characterization of pathogenic bacteria in foods confiscated from non-EU flights passengers at one Spanish airport. Int J Food Microbiol. 2015;209:20–5. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.ijfoodmicro.2014.10.016.

    Article  CAS  PubMed  Google Scholar 

  63. Chen M, Cheng J, Wu Q, Zhang J, Chen Y, Xue L, et al. Occurrence, Antibiotic Resistance, and Population Diversity of Listeria monocytogenes isolated from fresh aquatic products in China. Front Microbiol. 2018;9. https://doiorg.publicaciones.saludcastillayleon.es/10.3389/fmicb.2018.02215.

  64. Vázquez-Boland JA, Kuhn M, Berche P, Chakraborty T, Domı́nguez-Bernal G, Goebel W, et al. Listeria Pathogenesis and Molecular Virudeterminantsinants. Clin Microbiol Rev. 2001;14(3):584–640. https://doiorg.publicaciones.saludcastillayleon.es/10.1128/cmr.14.3.584-640.2001.

    Article  PubMed  PubMed Central  Google Scholar 

  65. McLauchlin J. Distribution of serovars ofListeria monocytogenes isolated from different categories of patients with listeriosis. Eur J Clin Microbiol Infect Dis. 1990;9(3):210–3. https://doiorg.publicaciones.saludcastillayleon.es/10.1007/BF01963840.

    Article  CAS  PubMed  Google Scholar 

  66. Crespo R, Garner MM, Hopkins SG, Shah DH. Outbreak of Listeria monocytogenes in an urban poultry flock. BMC Vet Res. 2013;9:204doi. https://doiorg.publicaciones.saludcastillayleon.es/10.1186/1746-6148-9-204.

    Article  Google Scholar 

  67. Weber A, Potel J, Schäfer-Schmidt R, Prell A, Datzmann C. [Studies on the occurrence of Listeria monocytogenes in fecal samples of domestic and companion animals]. Zentralbl Hyg Umweltmed. 1995;198(2):117–23.

    CAS  PubMed  Google Scholar 

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Acknowledgements

We acknowledge the contribution of the International Centre for Diarrheal Diseases Research, Bangladesh (icddr, b), for organizational support with the work. icddr, b is grateful to the Governments of Bangladesh, and Canada for providing core/unrestricted support.

Funding

The study was performed as part of the Child Health and Mortality Prevention Surveillance study, funded by the Bill and Melinda Gates Foundation (grant ID OPP1126780).

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Contributions

M.A. drafted the manuscript and guided the overall analysis. M.S.I., M.I.J., Z.I. and A.S.D. generated the whole genome sequencing data, conducted the bioinformatics analysis and generated the figures/tables. A.R., K.M.I., and M.Z.H. were responsible for collecting and analyzing the clinical data and generated the tables. A.I.C. gathered the demographic information. D.A. isolated the bacteria. S.E.A. and E.S.G. provided overall supervision for the CHAMPS project, secured funding, reviewed the manuscript. M.R. supervised the laboratory work and reviewed the manuscript.

Corresponding author

Correspondence to Muntasir Alam.

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Ethics approval and consent to participate

The CHAMPS study was conducted following the approval of the research review committee (icddr, b protocol number PR-16082) and the ethical review committee of icddr, b. All procedures performed in the study involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards. Informed consent was obtained from the legal guardians or family members of all stillbirths or deceased children included in the study. The consent process ensured that participants were fully informed about the purpose, procedures, risks, and benefits of the study, and their participation was entirely voluntary. Written consent forms were signed by the legal guardians or family members before any study-related procedures were initiated. No animal was included in this investigation.

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Not applicable.

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The authors declare no competing interests.

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Alam, M., Islam, M.S., Jahan, M.I. et al. A novel virulent core genome multilocus sequence type CT 11424 of Listeria monocytogenes isolate causing stillbirth in Bangladesh. BMC Microbiol 25, 61 (2025). https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12866-024-03650-5

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