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ORIGINAL RESEARCH article

Front. Microbiol., 21 January 2026

Sec. Infectious Agents and Disease

Volume 16 - 2025 | https://doi.org/10.3389/fmicb.2025.1710390

This article is part of the Research TopicZoonotic Diseases: Epidemiology, Multi-omics, and Host-pathogen Interactions, vol IIView all 15 articles

Epidemiological investigation and pathogenicity of Streptococcus suis in eastern China

Dehong Yang,&#x;Dehong Yang1,2Jingyu Xu,&#x;Jingyu Xu1,2Meiling Hu,Meiling Hu1,2Jinmei ZhuJinmei Zhu1Baihua RenBaihua Ren2Xianhui Huang
Xianhui Huang1*Lianxiang Wang
Lianxiang Wang2*
  • 1College of Veterinary Medicine, South China Agricultural University, Guangzhou, China
  • 2Guangdong Enterprise Key Laboratory for Animal Health and Environmental Control, Wen's Foodstuff Group Co. Ltd, Yunfu, China

Streptococcus suis (S. suis), a zoonotic gram-positive bacterium, is the etiological factor for septicemia and pneumonia in humans and pigs and poses a global public health threat. To date, epidemiological data from large-scale investigations of S. suis in swine populations across eastern China are still limited. This study investigated the serotypes, virulence genes, and pathogenicity of the isolates from 89 pig farms across 12 regions from 2022 to 2024. The overall infection and isolation rates were 59.59% (851/1728) and 16.1% (137/851), respectively. The infection rate was the highest in Guangdong Province (72.41%) (63/87) and the lowest in Hubei Province (43.75%) (7/16). Suckling piglets, nursery pigs, fattening pigs, and pregnant sows are susceptible to S. suis infection, with infection rates as high as 60%. The infection rates in spring, summer, autumn, and winter were 70.72% (215/304), 60.67% (344/567), 40.62% (132/325), and 68.97% (160/232), respectively. Serotype analysis of 137 isolates revealed increased serotype diversity in coastal provinces, especially in Guangdong, Jiangsu, and Shandong. Serotype 1 was detected in Liaoning. The most common serotype was serotype 2 (30.66%), especially in Guangdong, Guangxi, and Anhui, followed by serotype 7 (21.17%) and serotype 9 (10.95%). Virulence gene analysis revealed that the occurrence of gdh, gapdh, and orf2 (>89%) was high, whereas that of 89 k and epf was low (≤ 28.47%). Serotypes 1 and 7 frequently harbored mrp and gdh but often lacked 89 k and epf. Serotype 2 and serotype NT harbored all the tested genes, withlow 89 k occurrence rates. The occurrence rates of sly and epf (≤43.75%) werelow for serotype 9. Animal challenge experiments demonstrated that Serotype 2 induced acute death in Landrace pigs aged 42 days, with a mortality rate of 100%. In contrast, Serotype 7 was associated with low mortality rates (37.5%) and induced mild pathological symptoms, including pneumonia, myocarditis, and yellow effusion in the thoracic cavity. This study provides useful insights for the prevention and control of S. suis infection on pig farms in China.

1 Introduction

S. suis, a gram-positive bacterium that typically appears in pairs or short chains, can infect various animals, including pigs (Mi et al., 2021), horses (Devriese and Haesebrouck, 1992), dogs, and cats (Salasia et al., 1994), as well as humans (Bamphensin et al., 2021). In pigs, S. suis infections cause septicaemia, pneumonia, arthritis, and endocarditis. Moreover, S. suis infection can lead to symptoms such as septicemia, skin ulcers, and meningitis (Luque et al., 1998).

S. suis was initially classified into 35 serotypes on the basis of the presence of capsular antigens (Liu et al., 2013). However, advances in molecular techniques have refined the classification system. Currently, S. suis is divided into 29 classical serotypes (Nomoto et al., 2015). The serotype distribution of S. suis exhibits marked regional variation. Serotype 2, the most virulent global strain, accounts for 74.7% of human infections and dominates swine populations in Asia (44.2%) and North America (24.3%), whereas serotype 9 prevails in Europe (61%) (Haas and Grenier, 2018). Notably, South Korea shows an anomalous predominance of serotypes 3/4, and European countries such as Spain and the Netherlands display evolving serotype patterns (9/2/7) (Wisselink et al., 2000). The paucity of data regarding S. suis serotype patterns in the swine population of eastern China presents considerable concern and a latent risk to regional disease control efforts, underscoring the urgency of forming an interdisciplinary surveillance network to mitigate this zoonotic threat.

The pathogenicity of S. suis is closely related to its virulence factors. The main virulence genes of S. suis include mrp, epf, sly, orf2, fbps, gdh, gapdh, and 89 k, which are involved in the pathogenic process. Among the virulence genes, mrp, epf, and sly are considered the key virulence factors of S. suis (Silva et al., 2006). In Eurasian strains, these genes are positively correlated with pathogenicity. The frequent phenotypes of diseased and healthy pigs are mrp+epf+sly+ and mrpepfsly−, respectively (Petrocchi-Rilo et al., 2021). However, some highly virulent strains from Canada do not express mrp, epf, or sly (Gottschalk et al., 1998). Additionally, avirulent strains harboring all three of these genes have not been identified (Vecht et al., 1992). Sly, which encodes a cytotoxic hemolysin, may enhance pathogenicity by modulating complement deposition and promoting the penetration of S. suis into deeper tissues (King et al., 2001). Epf serves as a phenotypic marker of virulence (Wisselink et al., 1999). The scarcity of systematic data on virulence gene distributions, dominant phenotypes, and their pathogenic associations—stemming from limited S. suis research in eastern China-severely hinders the development of targeted interventions.

Prompted by the 2005 human outbreak in Sichuan, China, S. suis, a key zoonotic pathogen, has been closely monitored; however, data on its epidemiology and virulence genotypes in eastern China are sparse. This study, which was conducted from 2022 to 2024 across 89 pig farms in 12 provinces, bridges this knowledge gap by serotyping, virulence genotyping, and pathogenicity assessment of dominant serotypes, thereby providing essential evidence for evidence-based, precise control measures in China’s swine industry.

2 Materials and methods

2.1 Sample collection

This study collected 1,428 samples from over 89 swine operations, including both individual farmers and large-scale commercial farms (about 5 million pigs) across 12 provinces in China (Anhui (129), Guangdong (87), Guangxi (143), Hainan (68), Hubei (16), Hunan (246), Jiangsu (119), Jiangxi (85), Liaoning (26), Shandong (98), Shanxi (119), and Shaanxi (291)) between 2022 and 2024. The samples included nasopharyngeal swabs, pleural effusion, joint fluid from the legs, lungs, brain tissue, and vaginal pus from diseased piglets, nursery pigs, fattening pigs, and breeding pigs suspected of having S. suis infections. These pigs presented symptoms such as fever, swollen joints, and emaciation. Post-mortem examinations revealed septicemia, polyserositis, pneumonia, myocarditis, and hemorrhaging in multiple organs. All sample collections were conducted with the informed consent of the managers of each pig farm.

2.2 Bacterial isolation and identification

The samples were inoculated on tryptic soy agar (TSA, Difco Laboratories, Detroit, MI, USA) plates containing 5% bovine serum and incubated aerobically at 37 °C for 48 h. The colonies were selected and cultured further in Todd-Hewitt broth (THB) with shaking at 37 °C for 16 to 18 h. The broth cultures were subjected to polymerase chain reaction (PCR) to identify S. suis through amplification of the gdh gene (Kerdsin et al., 2012). Positive strains were streaked onto THB plates for colony purification. The purified strains were heated in boiling water for 10 min and centrifuged at 13,000 × g for 10 min. The supernatant was stored at −20 °C until use.

2.3 Serotyping

The methods of previous studies were used (Kerdsin et al., 2014; Kerdsin et al., 2012; Liu et al., 2013; Smith et al., 1999). The serotypes of the isolated S. suis strains were determined using the primers listed in Table 1 (synthesized by Sangon Biotech (Shanghai) Co., Ltd.). PCR amplification was performed using 2 × Taq Quick-Load Master Mix (CW Biotech, Beijing, China) under the following conditions: 95 °C for 5 min (initial denaturation), followed by 35 cycles of 95 °C for 1 min (denaturation), 56 °C for 1 min (annealing), 72 °C for 1 min (annealing), and 72 °C for 5 min (final extension). Each sample was analyzed in triplicate. The amplicons were analyzed using 2% agarose gel electrophoresis.

Table 1
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Table 1. Primers for identifying and serotyping S. suis.

2.4 Virulence gene detection

Previous methods have been used (Ju et al., 2008; Kerdsin et al., 2012; Pan et al., 2020). The virulence genes in the isolated S. suis strains were identified using the primers listed in Table 2 [also synthesized by Sangon Biotech (Shanghai) Co., Ltd.]. The detection method was based on previously reported PCR protocols targeting the following genes: gdh, fbps, sly, orf2, mrp, 89 k, gapdh, and epf.

Table 2
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Table 2. Primers for identifying virulence genes of S. suis.

2.5 Animal pathogenicity experiment

The pathogenicity of isolates SS2-1 (serotype 2) and SS7-1 (serotype 7) was evaluated in 24 healthy Landrace pigs aged 42 days. These pigs tested negative for S. suis and other exogenous pathogens, including classical swine fever (CSF), African swine fever (ASF), porcine reproductive and respiratory syndrome (PRRS), and porcine circovirus (PCV). The pigs were randomly divided into the following three groups (seven pigs per group): the SS2, SS7, and control groups. All pigs had free access to water and food.

Pigs in the SS2 and SS7 groups were intraperitoneally injected with 2 mL of 1.0 × 106 CFU of SS2-1 or SS7-1, respectively, while pigs in the control group were injected with an equal volume of sterile phosphate-buffered saline (PBS). Clinical signs and mortality were recorded daily for 14 days post-infection. Dead pigs were immediately necropsied to observe pathological changes, and lung tissues were collected for hematoxylin and eosin (H&E) staining analysis. All experiments were conducted in strict accordance with the Guidelines for the Care and Use of Laboratory Animals and were approved by the Ethics Committee of South China Agricultural University. At the end of the experiment, all surviving pigs were humanely euthanized by intravenous injection of an overdose of pentobarbital sodium following anesthesia to ensure animal welfare.

2.6 Data analysis

The analysis and mapping of S. suis infection rates, as well as serotype identification, were performed using Office 2021 software. Correlation analysis between serotypes and virulence genes of the isolated strains, along with the generation of related charts, was performed using the online tool https://www.chiplot.online/. The mortality rate analysis and chart creation for the animal experiments were conducted using GraphPad Prism 8 software.

3 Results

3.1 Detection and infection rate analysis of suspected S. suis clinical samples

To investigate the epidemiological characteristics of S. suis in major pig-farming regions of China, 1,428 suspected infection samples were collected from 89 pig farms across 12 provinces and tested using PCR. The distributions of the 12 provinces and the numbers of collected samples and positive test samples are shown in Figure 1.

Figure 1
Map of China highlighting provinces with numbers indicating data points. Guangdong, Guangxi, and Hunan have higher numbers such as 110 and 94. Liaoning shows relatively low numbers at 16. A small inset map is on the bottom right.

Figure 1. Geographic distribution, sample size, and number of positive samples of suspected Streptococcus suis from pigs in 12 regions of China.

The overall infection and isolation rates were 59.59% (851/1728) and 16.1% (137/851), respectively. The infection rates in different regions were as follows (Figure 2A): Guangdong: 72.41% (63/87); Jiangxi: 65.88% (56/85); Guangxi: 65.73% (94/143); Jiangsu: 64.71% (77/119); Shandong: 64.29% (63/98); Shaanxi: 63.92% (186/291); Anhui: 62.79% (81/129); Liaoning: 61.54% (16/26); Hainan: 60.29% (41/68); Shanxi: 57.98% (69/119); Hunan: 44.72% (110/246); and Hubei: 43.75% (7/16). Additionally, the infection rates in suckling piglets (aged 0–21 days), nursery pigs (aged 21–70 days), growing-finishing pigs (aged 70 days to 6 months, with weights of about 100–120 kilograms), and pregnant sows (sows in the gestation period) were 57.27% (252/440), 61.21% (579/946), 50% (5/10), and 43.75% (14/32), respectively (Figure 2B). Next, the prevalence of S. suis infections in spring, summer, autumn, and winter was examined. The infection rates in spring (February–April), summer (May–July), autumn (August–October), and winter (from November to January of the following year) were 70.72% (215/304), 60.67% (344/567), 40.62% (132/325), and 68.97% (160/232), respectively (Figure 2C).

Figure 2
Three bar charts show infection rates. Chart A compares infection rates by region, with Guangdong highest at 72.41% and Hubei lowest at 43.75%. Chart B shows infection rates by period, with nursing period highest at 61.21% and gestation period lowest at 43.75%. Chart C illustrates seasonal infection rates, with spring highest at 70.72% and autumn lowest at 40.62%.

Figure 2. Prevalence of S. suis in different regions of China: (A) infection rates of S. suis in 12 regions of China; (B) distribution of S. suis infections across different growth stages of pigs; (C) seasonal variations in S. suis infection rates.

3.2 Serotyping of S. suis

This study systematically analyzed the serotype distribution characteristics and regional differences of S. suis (Figure 3). In the eastern coastal provinces of China, there is a significant diversity of serotypes. In Guangdong, 9 serotypes, including serotypes 2, 5, 7, 8, 9, 16, and 33, and serotype NT were detected. In Jiangsu Province, 8 serotypes, including serotypes 2, 3, 4, 5, 7, 9, 18, and NT, were detected. In Zhejiang Province, 7 serotypes, including serotypes 2, 3, 4, 5, 7, 9, and serotype NT, were detected. The prevalence of Serotype 2 was high in Guangdong (11 cases), Guangxi (7 cases), and Anhui (6 cases). In contrast, 1–3 serotypes were detected in inland provinces, such as Hubei, Hunan, and Shaanxi. In Liaoning Province, only Serotype 1 (2 cases) was identified. This distribution pattern may be influenced by sample representation, geographic barriers, or ecological niche competition among dominant serotypes.

Figure 3
Stacked bar chart displaying the number of Streptococcus suis isolates across nine regions: Guangdong, Guangxi, Jiangxi, Jiangsu, Shandong, Anhui, Hubei, Hunan, Shaanxi, Shanxi, and Liaoning. Each bar is divided into sections representing different serotypes, with a legend indicating serotype colors, including Serotype one to NT. Guangdong has the highest count, while Liaoning has the lowest.

Figure 3. Serotype distribution characteristics of 137 S. suis isolates collected from 12 regions of China. NT indicates non-typeable strains.

Further analysis of the 137 isolates revealed that Serotype 2 presented the highest occurrence rate (n = 42; 30.66%), followed by Serotype 7 (n = 29; 21.17%), Serotype 9 (n = 15; 10.95%), Serotype 1 (n = 12; 8.76%), Serotype NT (n = 10; 7.30%), Serotype 3 (n = 9; 6.57%), Serotype 4 (n = 8; 5.84%), and Serotype 5 (n = 5; 4.38%). serotypes 33 (n = 2; 1.46%), serotype 16 (n = 2; 1.46%), serotype 8 (n = 1; 1.46%), and serotype 8 (n = 1; 1.46%) (Figures 4A, B).

Figure 4
Bar and pie charts displaying the distribution of S. suis serotypes. In the bar chart (A), Serotype 2 is the most frequent with 42 isolates, followed by Serotype 7 with 29 isolates. The pie chart (B) shows Serotype 2 as 30.66 percent of the total, followed by Serotype 7 at 21.17 percent.

Figure 4. Serotype distribution patterns of 137 S. suis isolates. (A) Number of isolates corresponding to each serotype; (B) detailed breakdown of isolates by serotype.

3.3 Detection of virulence genes in S. suis

This study analyzed the associations between eight virulence genes (gdh, fbps, sly, orf2, mrp, 89 k, gapdh, and epf) and serotypes in 137 S. suis isolates. The occurrence rates of gdh, fbps, sly, orf2, mrp, 89 k, gapdh, and epf were 100% (137/137), 63.5% (87/137), 55.47% (76/137), 98.54% (135/137), 100% (137/137), 2.92% (4/137), 94.89% (130/137), and 56.93% (78/137), respectively (Figure 5A). All 12 isolates of Serotype 1 harbored mrp. Additionally, the other tested genes, with the exception of 89 k, were detected in all the Serotype 1 isolates. The isolates of Serotype 2 and NT harbored all the tested genes. However, for serotypes 2 and NT, the incidence rates of 89 k were 4.76% (95% CI: 13.2–15.79%) and 10% (95% CI: 17.9–40.42%), respectively. Serotypes 4 and 7 did not harbor 89 k or epf. The occurrence rates of gdh and orf2 in serotypes 4 and 7 were 100% and ≥ 87%, respectively. The occurrence rates of epf in serotypes 5 and 7 were 20% (95% CI: 36.2–62.45%) and 0% (95% CI: 0–11.7%), respectively. The frequency of occurrence of most virulence factors, except for sly, 89 k, and epf, was high in Serotype 7, with that of gdh and orf2 reaching 100%. Serotype 9 did not harbor 89 k. The occurrence rates of sly, epf, and mrp in Serotype 9 were ≤ 43.75%, with epf exhibiting a low occurrence rate (12.50, 95% CI: 35–36.02%). However, the occurrence rates of gdh, fbps, gapdh, and orf2 in Serotype NT were in the range of 87.5–100%. Additionally, all Serotypes 8, 16, 18, and 33 harbored fbps, orf2, mrp, and gapdh. However, further validation is necessary, as the sample size for these isolates was small (< 3 isolates) (Figure 5B).

Figure 5
Diagram A shows a pie chart with segments representing gene frequencies: gdh and mrp at 100%, orf2 at 98.54%, gapdh at 94.89%, epf at 56.93%, fbps at 63.50%, sly at 55.47%, and 89k at 2.92%. Diagram B displays a circular dendrogram with red gradients indicating the existence probability of various serotypes and genes, with serotypes listed on the right and genes like mrp, gdh, orf2, gapdh, and others arranged around the circle.

Figure 5. Relationships between serotypes and virulence genes in 137 S. suis isolates. (A) Positive counts of different virulence genes detected in the 137 isolates. (B) Heatmap showing the relationships between different serotypes and virulence genes among the isolates.

3.4 Animal experiment

To investigate the pathogenicity of the prevalent S. suis serotypes 2 and 7, strains SS2-1 and SS7-1 were selected for animal experimentation in 42-day-old, healthy Landrace pigs confirmed to be free of S. suis and other exogenous pathogens. The experimental results demonstrated that pigs in both the SS2-1 and SS7-1 challenge groups presented clinical signs such as lethargy, huddling, and a marked reduction or complete loss of appetite within 12 h post-infection (Figures 6D,G). Notably, all pigs in the SS2-1 group succumbed to acute infection by the fourth day, resulting in a mortality rate of 100% (8/8). In the SS7-1 group, no acute deaths occurred, but two pigs died on the 10th day, resulting in a mortality rate of 37.5% (3/8) (Figure 7). The surviving pigs were emaciated and exhibited slow growth, whereas no significant changes were detected in the control group (Figure 6A).

Figure 6
Pigs are grouped in clinical settings. In the Control group (A), healthy pigs are shown with a close-up of a heart (B) and intact lungs (C). SS2-1 group (D) displays distressed pigs, their heart (E), and diseased lungs (F). SS7-1 group (G) also shows distressed pigs, with images of their heart (H) and affected lungs (I).

Figure 6. Clinical manifestations and post-mortem lesions in 42-day-old Landrace pigs after artificial infection. (A–C) Show the clinical status, heart, and lung lesions of pigs in the control group; (D–F) depict the clinical status, heart, and lung lesions in the SS2-challenged group; (G–I) illustrate the clinical status, heart, and lung lesions in the SS7-challenged group.

Figure 7
Kaplan-Meier survival curve showing mortality rates over days post-infection (Dpi). The green line represents the control group with no mortality. The red line (SS2-1) shows rapid mortality by day five. The blue line (SS7-1) decreases after day eight.

Figure 7. Survival curves of 42-day-old Landrace pigs after artificial infection with S. suis. The survival rates for the SS-2 and SS-7 challenge groups were 0 and 71.42%, respectively, whereas no deaths occurred in the control group.

Necropsy was performed on pigs that died after infection. The results revealed the following: In the SS2-1 group, the deceased pigs exhibited typical acute fibrinous myocarditis, with yellow-brown flocculent exudates accumulating in the pericardial cavity (Figure 6E). The lungs exhibited diffuse congestion and edema, characterized by dark red congested areas along the margins of the lung lobes (Figure 6F). In the SS7-1 group, the pathological changes in the deceased pigs were similar to those observed in the SS2-1 group but were comparatively less severe. The principal findings included surface cardiac hemorrhage and enlargement, myocardial hemorrhage, and mild fibrinous myocarditis (Figure 6H). The lungs were enlarged and hemorrhagic, and a small quantity of serous or mildly fibrinous exudate was present within the thoracic cavity (Figure 6I). In contrast, no significant pathological alterations were observed in the control group during necropsy (Figures 6B,C).

Histopathological examination revealed that in both the SS2-1 and SS7-1 groups, myocardial cells exhibited disorganization, increased infiltration of inflammatory cells, interstitial edema, and erythrocyte exudation (Figures 8B,C). The alveolar structures were either disrupted or altered, with eosinophilic exudates and scattered erythrocyte leakage present within the alveolar cavities. Hemorrhage and enlargement were also prominent in the lung interstitium (Figures 8E,F). In contrast, no significant pathological alterations were observed in the control group (Figures 8A,D).

Figure 8
Histological slides showing heart and lung tissue sections. Panels A, B, and C display heart tissue under control, SS2-1, and SS7-1 conditions, respectively. Panels D, E, and F show lung tissue under the same conditions. Heart tissue in controls appears structured, while SS2-1 and SS7-1 show cellular changes. Lung tissues display varying alveolar structure and cellularity across the conditions.

Figure 8. Histopathological changes in the heart and lungs of 42-day-old Landrace pigs after artificial infection. (A–C) Represent histopathological changes in the lungs of the control group, SS2-challenged group, and SS7-challenged group, respectively; (D–F) show histopathological changes in the hearts of the control group, SS2-challenged group, and SS7-challenged group, respectively.

4 Discussion

S. suis is one of the most threatening bacterial infectious diseases in the global pig farming industry. Its typical clinical symptoms include purulent meningitis, septicemia, and polyarthritis, which impose substantial economic burdens on global swine production systems annually (Dutkiewicz et al., 2018). Epidemiological investigations have shown that in several regions, including Europe, North America, and Australia, the infection rate of Streptococcus suis has exceeded 90%. In China, the carrier rate of this pathogen on large-scale pig farms reportedly exceeds 40% (Segura et al., 2020). This phenomenon not only poses a serious threat to the health of pigs but also has a significant impact on the global agricultural economy. This study, which is based on cross-regional epidemiological surveys, revealed that the overall detection rate of S. suis in large-scale pig farms across 12 provinces in China reached 59.59%, which is markedly higher than the previously reported prevalence of 40.8% (Liu et al., 2023). Importantly, the findings also revealed the pathogen’s full-cycle infection capability, with positive cases identified across all age groups of pigs, underscoring its persistent and pervasive threat within pig farming systems. The infection rates in suckling piglets (<21 days old) and nursery pigs (21–70 days old) were 57.4 and 61.21%, respectively, which is consistent with previous reports (Correa-Fiz et al., 2020). Previous studies have indicated that S. suis infections can occur year-round, with higher isolation rates observed during summer months, likely due to increased humidity during this season (Zhang et al., 2019). However, this study revealed that infection rates were significantly higher in winter and spring than in summer and autumn, a finding that may be associated with regional factors.

In recent years, Chinese researchers have identified several novel variants, including serotypes 21/29, NCL21-NCL26, and Chz, expanding the known diversity of S. suis and underscoring the evolving complexity of its epidemiological landscape (Huang et al., 2019; Pan et al., 2015). Although the prevalence of S. suis serotypes and genotypes varies across geographic regions and time periods, serotype 2 remains one of the most prevalent serotypes globally. Moreover, the distribution of S. suis serotypes shows significant regional differences: In Spain, serotypes 2 (21.7%), 1 (21.3%), and 9 (19.3%) dominate (Petrocchi-Rilo et al., 2021), whereas in North America, serotypes 2 (24.3%) and 3 (21%) prevail. In Asia, serotype 2 accounts for the highest proportion (44.2%), with a detection rate of 34.08% in Jiangxi Province, China, whereas serotypes 3 and 4 account for 12.4 and 5.6%, respectively (Tan et al., 2021). Similarly, this investigation revealed that the distribution of S. suis serotypes in China displays pronounced regional characteristics. For example, multiple serotypes were found to coexist within individual regions along the eastern coast, such as Guangdong, Jiangsu, and Shandong. Notably, serotype NT was highly prevalent in Anhui, Guangxi, and Guangdong, accounting for 65.5% of all NT isolates—a pattern seldom reported in the literature. On a global scale, the predominant S. suis serotypes isolated from clinical pigs, in descending order of frequency, are serotypes 2, 9, 3, 1/2, and 7, with about 15% classified as NT (Goyette-Desjardins et al., 2014). In this study, serotypes NT and 2 were dominant, followed by serotype 7, which is partially consistent with global trends. However, the higher proportion of NT (21.01%) suggests that regional characteristics or differences in detection methods may influence serotype distribution patterns. The lungs serve as the core infection site (33.33–100%), with serotypes 2, 7, 9, and NT exhibiting multiorgan invasion capabilities, indicating strong tissue invasiveness, which exacerbates disease complexity and control challenges.

The virulence of S. suis is closely associated with its serotypes, with notable variations in virulence factors across different serotypes. To date, over 100 virulence-associated components have been identified, including hemolysins, adhesins, and proteases, which collectively contribute to the pathogen’s differential pathogenicity (Roodsant et al., 2021). Among these proteins, hemolysin sly (57 kDa) is recognized as a pivotal virulence factor capable of disrupting the blood–brain barrier, inhibiting complement-mediated bactericidal activity, and triggering robust inflammatory responses (Lin et al., 2019). Among the serotype 2 strains, sly-positive isolates were significantly correlated with increased pathogenic potential. Yin et al. (2016) reported the 89 k pathogenicity island in serotype 2 S. suis, a genomic element strongly linked to severe outbreaks in Jiangsu and Sichuan and regarded as a major determinant of virulence. However, in the present study, the detection rate of the 89 k pathogenicity island in serotype 2 strains was only 7.14% (2/28), and intriguingly, the gene was also detected in serotype 16 and NT strains, suggesting a broader distribution and variability than previously reported.

mrp, epf, fbps, and sly are recognized as key pathogenic marker genes of S. suis serotype 2 (Dong et al., 2015). Previous reports have indicated the universal presence of the sly gene across isolates, whereas the carriage rates of mrp and epf were notably lower, at 33 and 4%, respectively, which contrasts markedly with those of clinical isolates from North America and Europe, where the carriage rates of mrp and epf can reach 92 and 31%, respectively (Fittipaldi et al., 2009; Kim et al., 2010). In the present study, however, the carriage rates of sly, mrp, and epf in serotype 2 isolates were 92.85% (26/28), 96.43% (27/28), and 78.57% (22/28), respectively—levels comparable to those reported for clinical isolates from North America and Europe. Additionally, the mrp gene was highly prevalent in serotypes 1, 3, 4, 5, 7, 8, 9, 16, 18, 33, and NT, indicating that mrp might be a key virulence factor of porcine-derived S. suis.

The gdh gene of S. suis is a specific protein that can serve as a marker antigen for detection. About 305 porcine serum samples were found to have a gdh seropositivity rate of 73.1%, suggesting its potential application in diagnosing S. suis infections (Xia et al., 2017). This study further confirmed this finding: among 137 S. suis isolates, the carriage rate of the gdh gene was 96.35% (132/137). Except for serotype NT, where the carriage rate was 82.76%, all other serotypes carried the gdh gene at 100%. These findings indicate that the gdh gene is also a key virulence factor of porcine-derived S. suis, and studies on gdh gene deletion provide important insights for vaccine development.

gapdh is an important virulence factor closely linked to the bacterial adhesion process. Studies have demonstrated that deletion of the gapdh gene significantly impairs the ability of bacteria to adhere to host cells (Brassard et al., 2004). Research further indicates that the gapdh gene is widely distributed among various streptococcal species, including serotypes 2, 7, and 9 of S. suis. Only a few nonpathogenic strains lack this gene, underscoring its universality and importance (Wang et al., 2021). This study also supports this view, with the carriage rate of the gapdh gene being 89.78% (123/137). Serotypes 1, 2, 3, 7, 8, 16, 18, and 33 carried it at 100%, whereas serotypes 4, 5, 9, and NT had carriage rates as high as 87.5%. Thus, regardless of whether the strain is low or highly virulent, this gene is universally present. The orf2 gene is closely related to the virulence of Streptococcus suis, and it is present in at least 78.3% of Streptococcus suis isolates (Zhao et al., 2025). This study revealed that the carriage rate of orf2 in 137 isolates was as high as 93%, and orf2 is widely present in different serotypes, suggesting its universality. However, its function and impact on virulence need to be comprehensively evaluated in combination with other factors.

Currently, limited research has been conducted on the pathogenicity of S. suis serotypes 2 and 7 in pigs, with the majority of existing studies being based on mouse models. Evidence indicates that serotype 2 is the most virulent and is capable of inducing acute mortality in pigs through septicemia and polyserositis (Lun et al., 2007). The present study corroborates this finding, which may be attributed to the high-frequency carriage of key virulence genes, including gdh, fbps, sly, orf2, mrp, and gapdh. In challenge experiments with serotype 7 in 42-day-old Landrace pigs, although no acute deaths were observed, two pigs died on the 10th day post-infection, both of which presented with leg arthritis and typical polyserositis lesions. This result is consistent with the experimental findings of Boetner AG et al., who used serotype 7 to infect 7-day-old piglets, indicating that serotype 7 has some pathogenicity in piglets of this age group (Boetner et al., 1987). Additionally, 42-day-old Landrace pigs infected with serotypes 2 and 7 presented obvious pneumonia and myocarditis symptoms, suggesting that the lungs and heart may be the primary target organs of these two serotypes.

In summary, this study revealed that the overall infection rate is markedly higher than previously reported, with pigs of all age groups demonstrating susceptibility and no evident seasonal variation. Serotypes NT and 2 emerged as the predominant strains, followed by serotype 7. While this distribution trend is partially consistent with global patterns, the elevated prevalence of serotype NT indicates that regional factors or methodological differences in detection may contribute to variations in serotype distribution. Notably, the carriage rates of virulence genes varied significantly across serotypes, with gdh, fbps, sly, orf2, mrp, and gapdh being widely detected, whereas 89 k and epf were found at lower frequencies. Moreover, both serotypes 2 and 7 can cause clinical symptoms similar to those of S. suis disease, but serotype 2 is significantly more pathogenic than serotype 7. The absence of antimicrobial resistance profiling for the collected S. suis isolates constitutes a limitation of this work. Subsequent research is planned to explore this area comprehensively.

5 Conclusion

In this study, we investigated the prevalence of S. suis in 89 large-scale pig farms in 12 provinces in the western region of China and analyzed the serotypes and presence of virulence genes of the isolates as well as the pathogenicity of serotypes 2 and 7. The results of this study provide important baseline information on the serotype characteristics and virulence genes of S. suis and the pathogenicity of epidemic strains in China, which is highly important for understanding its epidemiological characteristics and the development of vaccines used to prevent Streptococcus suis infection in pigs.

Data availability statement

The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.

Ethics statement

The animal studies were approved by Animal infection experiments were conducted according to the Guidelines for Experimental Animals established by the Ministry of Science and Technology of China (Beijing) and were supervised and approved by the National Animal Ethics and Use Committee. The study was approved by the South China Agricultural University (Approval No.: SYXK-2019–0136). The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent was obtained from the owners for the participation of their animals in this study.

Author contributions

DY: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing. JX: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Visualization, Writing – original draft, Writing – review & editing, Validation. MH: Investigation, Methodology, Validation, Writing – original draft, Writing – review & editing. JZ: Investigation, Validation, Writing – original draft, Writing – review & editing. BR: Resources, Supervision, Writing – original draft, Writing – review & editing. XH: Resources, Supervision, Writing – original draft, Writing – review & editing. LW: Funding acquisition, Investigation, Project administration, Resources, Supervision, Validation, Writing – original draft, Writing – review & editing.

Funding

The author(s) declare that financial support was received for the research and/or publication of this article. The research was funded by the Yunfu Innovation Team Project (CYRC202301).

Conflict of interest

DY, JX, MH, BR, and LW were employed by Guangdong Enterprise Key Laboratory for Animal Health and Environmental Control, Wen's Foodstuff Group Co. Ltd.

The remaining 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.

Generative AI statement

The authors declare that no Gen AI was used in the creation of this manuscript.

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Publisher’s note

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References

Bamphensin, N., Chopjitt, P., Hatrongjit, R., Boueroy, P., Fittipaldi, N., Gottschalk, M., et al. (2021). Non-penicillin-susceptible streptococcus suis isolated from humans. Pathogens. 10:1178. doi: 10.3390/pathogens10091178,

PubMed Abstract | Crossref Full Text | Google Scholar

Boetner, A. G., Binder, M., and Bille-Hansen, V. (1987). Streptococcus suis infections in Danish pigs and experimental infection with Streptococcus suis serotype 7. Acta Pathol. Microbiol. Immunol. Scand. B 95, 233–239. doi: 10.1111/j.1699-0463.1987.tb03118.x,

PubMed Abstract | Crossref Full Text | Google Scholar

Brassard, J., Gottschalk, M., and Quessy, S. (2004). Cloning and purification of the streptococcus suis serotype 2 glyceraldehyde-3-phosphate dehydrogenase and its involvement as an adhesin. Vet. Microbiol. 102, 87–94. doi: 10.1016/j.vetmic.2004.05.008,

PubMed Abstract | Crossref Full Text | Google Scholar

Correa-Fiz, F., Neila-Ibanez, C., Lopez-Soria, S., Napp, S., Martinez, B., Sobrevia, L., et al. (2020). Feed additives for the control of post-weaning streptococcus suis disease and the effect on the faecal and nasal microbiota. Sci. Rep. 10:20354. doi: 10.1038/s41598-020-77313-6,

PubMed Abstract | Crossref Full Text | Google Scholar

Devriese, L. A., and Haesebrouck, F. (1992). Streptococcus suis infections in horses and cats. Vet. Rec. 130:380. doi: 10.1136/vr.130.17.380,

PubMed Abstract | Crossref Full Text | Google Scholar

Dong, W., Ma, J., Zhu, Y., Zhu, J., Yuan, L., Wang, Y., et al. (2015). Virulence genotyping and population analysis of streptococcus suis serotype 2 isolates from China. Infect. Genet. Evol. 36, 483–489. doi: 10.1016/j.meegid.2015.08.021,

PubMed Abstract | Crossref Full Text | Google Scholar

Dutkiewicz, J., Zajac, V., Sroka, J., Wasinski, B., Cisak, E., Sawczyn, A., et al. (2018). Streptococcus suis: a re-emerging pathogen associated with occupational exposure to pigs or pork products. Part ii - pathogenesis. Ann. Agr. Env. Med. 25, 186–203. doi: 10.26444/aaem/85651

Crossref Full Text | Google Scholar

Fittipaldi, N., Fuller, T. E., Teel, J. F., Wilson, T. L., Wolfram, T. J., Lowery, D. E., et al. (2009). Serotype distribution and production of muramidase-released protein, extracellular factor and suilysin by field strains of streptococcus suis isolated in the United States. Vet. Microbiol. 139, 310–317. doi: 10.1016/j.vetmic.2009.06.024

Crossref Full Text | Google Scholar

Gottschalk, M., Lebrun, A., Wisselink, H., Dubreuil, J. D., Smith, H., and Vecht, U. (1998). Production of virulence-related proteins by Canadian strains of Streptococcus suis capsular type 2. Can. J. Vet. Res. 62, 75–79,

PubMed Abstract | Google Scholar

Goyette-Desjardins, G., Auger, J. P., Xu, J., Segura, M., and Gottschalk, M. (2014). Streptococcus suis, an important pig pathogen and emerging zoonotic agent-an update on the worldwide distribution based on serotyping and sequence typing. Emerg. Microbes Infect. 3:e45. doi: 10.1038/emi.2014.45,

PubMed Abstract | Crossref Full Text | Google Scholar

Haas, B., and Grenier, D. (2018). Understanding the virulence of streptococcus suis: a veterinary, medical, and economic challenge. Med. Mal. Infect. 48, 159–166. doi: 10.1016/j.medmal.2017.10.001,

PubMed Abstract | Crossref Full Text | Google Scholar

Huang, J., Liu, X., Chen, H., Chen, L., Gao, X., Pan, Z., et al. (2019). Identification of six novel capsular polysaccharide loci (ncl) from streptococcus suis multidrug resistant non-typeable strains and the pathogenic characteristic of strains carrying new ncls. Transbound. Emerg. Dis. 66, 995–1003. doi: 10.1111/tbed.13123,

PubMed Abstract | Crossref Full Text | Google Scholar

Ju, A., Wang, C., Zheng, F., Pan, X., Dong, Y., Ge, J., et al. (2008). Study on molecular epidemiology of major pathgenic Streptococcus suis serotypes in middle part of Jiangsu province. Chin. Epidemiol. 29, 151–154.

Google Scholar

Kerdsin, A., Akeda, Y., Hatrongjit, R., Detchawna, U., Sekizaki, T., Hamada, S., et al. (2014). Streptococcus suis serotyping by a new multiplex pcr. J. Med. Microbiol. 63:824–830. doi: 10.1099/jmm.0.069757-0

Crossref Full Text | Google Scholar

Kerdsin, A., Dejsirilert, S., Akeda, Y., Sekizaki, T., Hamada, S., Gottschalk, M., et al. (2012). Fifteen streptococcus suis serotypes identified by multiplex pcr. J. Med. Microbiol. 61:1669–1672. doi: 10.1099/jmm.0.048587-0

Crossref Full Text | Google Scholar

Kim, D., Han, K., Oh, Y., Kim, C. H., Kang, I., Lee, J., et al. (2010). Distribution of capsular serotypes and virulence markers of streptococcus suis isolated from pigs with polyserositis in Korea. Can. J. Vet. Res. 74, 314–316.

Google Scholar

King, S. J., Heath, P. J., Luque, I., Tarradas, C., Dowson, C. G., and Whatmore, A. M. (2001). Distribution and genetic diversity of suilysin in streptococcus suis isolated from different diseases of pigs and characterization of the genetic basis of suilysin absence. Infect. Immun. 69, 7572–7582. doi: 10.1128/IAI.69.12.7572-7582.2001,

PubMed Abstract | Crossref Full Text | Google Scholar

Lin, L., Xu, L., Lv, W., Han, L., Xiang, Y., Fu, L., et al. (2019). An nlrp3 inflammasome-triggered cytokine storm contributes to streptococcal toxic shock-like syndrome (stsls). PLoS Pathog. 15:e1007795. doi: 10.1371/journal.ppat.1007795,

PubMed Abstract | Crossref Full Text | Google Scholar

Liu, P., Zhang, Y., Tang, H., Wang, Y., and Sun, X. (2023). Prevalence of streptococcus suis in pigs in China during 2000-2021: a systematic review and meta-analysis. One Health. 16:100513. doi: 10.1016/j.onehlt.2023.100513,

PubMed Abstract | Crossref Full Text | Google Scholar

Liu, Z., Zheng, H., Gottschalk, M., Bai, X., Lan, R., Ji, S., et al. (2013). Development of multiplex pcr assays for the identification of the 33 serotypes of streptococcus suis. PLoS One 8:e72070. doi: 10.1371/journal.pone.0072070,

PubMed Abstract | Crossref Full Text | Google Scholar

Lun, Z. R., Wang, Q. P., Chen, X. G., Li, A. X., and Zhu, X. Q. (2007). Streptococcus suis: an emerging zoonotic pathogen. Lancet Infect. Dis. 7, 201–209. doi: 10.1016/S1473-3099(07)70001-4,

PubMed Abstract | Crossref Full Text | Google Scholar

Luque, I., Tarradas, C., Arenas, A., Maldonado, A., Astorga, R., and Perea, A. (1998). Streptococcus suis serotypes associated with different disease conditions in pigs. Vet. Rec. 142, 726–727. doi: 10.1136/vr.142.26.726,

PubMed Abstract | Crossref Full Text | Google Scholar

Mi, K., Li, M., Sun, L., Hou, Y., Zhou, K., Hao, H., et al. (2021). Determination of susceptibility breakpoint for cefquinome against streptococcus suis in pigs. Antibiotics-Basel. 10:958. doi: 10.3390/antibiotics10080958,

PubMed Abstract | Crossref Full Text | Google Scholar

Nomoto, R., Maruyama, F., Ishida, S., Tohya, M., Sekizaki, T., and Osawa, R. (2015). Reappraisal of the taxonomy of streptococcus suis serotypes 20, 22 and 26: streptococcus parasuis sp. nov. Int. J. Syst. Evol. Microbiol. 65, 438–443. doi: 10.1099/ijs.0.067116-0,

PubMed Abstract | Crossref Full Text | Google Scholar

Pan, Z., Ma, J., Dong, W., Song, W., Wang, K., Lu, C., et al. (2015). Novel variant serotype of streptococcus suis isolated from piglets with meningitis. Appl. Environ. Microbiol. 81, 976–985. doi: 10.1128/AEM.02962-14,

PubMed Abstract | Crossref Full Text | Google Scholar

Pan, J., Zhang, H., Hen, B., Zhou, M., Wang, Z., and Xu, G. (2020). Isolation, identification and pathogenicity of Streptococcus suis type 2. China J. Vet. Drug. 54, 14–19. doi: 10.11751/ISSN.1002-1280.2020.08.03

Crossref Full Text | Google Scholar

Petrocchi-Rilo, M., Martinez-Martinez, S., Aguaron-Turrientes, A., Roca-Martinez, E., Garcia-Iglesias, M. J., Perez-Fernandez, E., et al. (2021). Anatomical site, typing, virulence gene profiling, antimicrobial susceptibility and resistance genes of streptococcus suis isolates recovered from pigs in Spain. Antibiotics-Basel. 10:707. doi: 10.3390/antibiotics10060707,

PubMed Abstract | Crossref Full Text | Google Scholar

Roodsant, T. J., Van Der Putten, B., Tamminga, S. M., Schultsz, C., and Van Der Ark, K. (2021). Identification of streptococcus suis putative zoonotic virulence factors: a systematic review and genomic meta-analysis. Virulence 12, 2787–2797. doi: 10.1080/21505594.2021.1985760,

PubMed Abstract | Crossref Full Text | Google Scholar

Salasia, S. I., Lammler, C., and Devriese, L. A. (1994). Serotypes and putative virulence markers of streptococcus suis isolates from cats and dogs. Res. Vet. Sci. 57, 259–261. doi: 10.1016/0034-5288(94)90070-1,

PubMed Abstract | Crossref Full Text | Google Scholar

Silva, L. M., Baums, C. G., Rehm, T., Wisselink, H. J., Goethe, R., and Valentin-Weigand, P. (2006). Virulence-associated gene profiling of streptococcus suis isolates by PCR. Vet. Microbiol. 115, 117–127. doi: 10.1016/j.vetmic.2005.12.013,

PubMed Abstract | Crossref Full Text | Google Scholar

Segura, M., Aragon, V., Brockmeier, S. L., Gebhart, C., Greeff, A., Kerdsin, A., et al. (2020). Update on streptococcus suis research and prevention in the era of antimicrobial restriction: 4th international workshop on s. Suis. Pathogens. 9. doi: 10.3390/pathogens9050374

Crossref Full Text | Google Scholar

Smith, H. E., Veenbergen, V., van der Velde, J., Damman, M., Wisselink, H. J., and Smits, M. A. (1999). The cps genes of streptococcus suis serotypes 1, 2, and 9: development of rapid serotype-specific pcr assays. J. Clin. Microbiol. 37, 3146–3152. doi: 10.1128/JCM.37.10.3146-3152.1999

Crossref Full Text | Google Scholar

Tan, M. F., Tan, J., Zeng, Y. B., Li, H. Q., Yang, Q., and Zhou, R. (2021). Antimicrobial resistance phenotypes and genotypes of streptococcus suis isolated from clinically healthy pigs from 2017 to 2019 in Jiangxi province, China. J. Appl. Microbiol. 130, 797–806. doi: 10.1111/jam.14831,

PubMed Abstract | Crossref Full Text | Google Scholar

Vecht, U., Wisselink, H. J., van Dijk, J. E., and Smith, H. E. (1992). Virulence of streptococcus suis type 2 strains in newborn germfree pigs depends on phenotype. Infect. Immun. 60, 550–556. doi: 10.1128/iai.60.2.550-556.1992,

PubMed Abstract | Crossref Full Text | Google Scholar

Wang, Z., Guo, M., Kong, L., Gao, Y., Ma, J., Cheng, Y., et al. (2021). Tlr4 agonist combined with trivalent protein joints of streptococcus suis provides immunological protection in animals. Vaccine 9:958. doi: 10.3390/vaccines9020184,

PubMed Abstract | Crossref Full Text | Google Scholar

Wisselink, H. J., Reek, F. H., Vecht, U., Stockhofe-Zurwieden, N., Smits, M. A., and Smith, H. E. (1999). Detection of virulent strains of streptococcus suis type 2 and highly virulent strains of streptococcus suis type 1 in tonsillar specimens of pigs by PCR. Vet. Microbiol. 67, 143–157. doi: 10.1016/s0378-1135(99)00036-x,

PubMed Abstract | Crossref Full Text | Google Scholar

Wisselink, H. J., Smith, H. E., Stockhofe-Zurwieden, N., Peperkamp, K., and Vecht, U. (2000). Distribution of capsular types and production of muramidase-released protein (mrp) and extracellular factor (ef) of streptococcus suis strains isolated from diseased pigs in seven european countries. Vet. Microbiol. 74, 237–248. doi: 10.1016/s0378-1135(00)00188-7,

PubMed Abstract | Crossref Full Text | Google Scholar

Xia, X. J., Wang, L., Shen, Z. Q., Qin, W., Hu, J., Jiang, S. J., et al. (2017). Development of an indirect dot-ppa-elisa using glutamate dehydrogenase as a diagnostic antigen for the rapid and specific detection of streptococcus suis and its application to clinical specimens. Antonie Van Leeuwenhoek 110, 585–592. doi: 10.1007/s10482-016-0825-z,

PubMed Abstract | Crossref Full Text | Google Scholar

Yin, S., Li, M., Rao, X., Yao, X., Zhong, Q., Wang, M., et al. (2016). Subtilisin-like protease-1 secreted through type iv secretion system contributes to high virulence of streptococcus suis 2. Sci. Rep. 6:27369. doi: 10.1038/srep27369,

PubMed Abstract | Crossref Full Text | Google Scholar

Zhang, B., Ku, X., Yu, X., Sun, Q., Wu, H., Chen, F., et al. (2019). Prevalence and antimicrobial susceptibilities of bacterial pathogens in chinese pig farms from 2013 to 2017. Sci. Rep. 9:9908. doi: 10.1038/s41598-019-45482-8,

PubMed Abstract | Crossref Full Text | Google Scholar

Zhao, X., Han, S., Zhang, F., Cui, L., Ji, G., Wang, S., et al. (2025). Identification and characterization of streptococcus suis strains isolated from eastern China swine farms, 2021-2023. Sci. Rep. 15:5677. doi: 10.1038/s41598-025-90308-5,

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: Streptococcus suis, epidemiological investigation, serotype, virulence gene, pathogenicity

Citation: Yang D, Xu J, Hu M, Zhu J, Ren B, Huang X and Wang L (2026) Epidemiological investigation and pathogenicity of Streptococcus suis in eastern China. Front. Microbiol. 16:1710390. doi: 10.3389/fmicb.2025.1710390

Received: 22 September 2025; Revised: 10 November 2025; Accepted: 24 November 2025;
Published: 21 January 2026.

Edited by:

Lei Deng, Chinese Academy of Agricultural Sciences, China

Reviewed by:

Yuwen Dong, University of Pennsylvania, United States
Yao Zhu, Chinese Academy of Agricultural Sciences, China

Copyright © 2026 Yang, Xu, Hu, Zhu, Ren, Huang and Wang. 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.

*Correspondence: Xianhui Huang, eGhodWFuZ0BzY2F1LmVkdS5jbg==; Lianxiang Wang, aW1zc2NpQDEyNi5jb20=

These authors have contributed equally to this work and share first authorship

Disclaimer: 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.