Molecular Detection of Salmonella enterica Serovar Gallinarum, Biovar Gallinarum and Biovar Pullorum from Poultry Birds (Gallus gallus domesticus) in Faisalabad, Pakistan
Mariya Azam1,2,3*, Muhammad Adnan Ashraf4, Ahsan Javed2, Muhammad Kashif Saleemi5 , Ikram ul Haq3, Yasra Sarwar2 and Aamir Ali2
1Institute of Molecular Biology and Biotechnology, The University of Lahore, Lahore, Pakistan, 54000
2National Institute for Biotechnology and Genetic Engineering College, Pakistan Institute of Engineering and Applied Sciences, Faisalabad, Pakistan, 38000
3Institute of Industrial Biotechnology, Government College University, Lahore, Pakistan, 54000
4Institute of Microbiology, University of Veterinary and Animal Sciences, Lahore, Pakistan, 54000
5Department of Pathology, University of Agriculture, Faisalabad, Pakistan, 38000
ABSTRACT
Salmonella enterica sub-species enterica serovar Gallinarum, biovar Gallinarum (S. Gallinarum/bvSG) and biovar Pullorum (S. Pullorum/bvSP) are the etiologic agents of fowl typhoid (FT) and pullorum disease (PD), respectively. A limited number of studies from South Asian countries had detected differentiating genes among both biovars. Molecular assay-based studies on FT and PD were also deficient from Faisalabad region of Pakistan. This study was aimed to optimize molecular detection of S. gallinarum and S. pullorum from diverse clinical samples in current laboratory settings. A total of one-hundred and thirty-four (n=134) poultry samples including; tissues (n=64), fecal (n=20), eggs (n=20) and 1-day old chicks mixed meat (n=30) were processed for the detection of Salmonella. Rappaport-Vassiliadis (RV) broth effectively recovered the pathogens while brilliant green agar (BGA), xylose lysine deoxycholate (XLD) agar, triple sugar iron (TSI) agar and biochemical tests by rapid kits confirmed 23.13% isolates (n=31) as Salmonella. By polymerase chain reaction (PCR), the aroC gene (encoding chorismate synthase) of Salmonella was detected in 13.43% isolates (n=18). The ratA gene (encoding region of difference; a hypothetical protein) of the pathogen confirmed 3.73% isolates (n=5) as biovar Gallinarum. A duplex PCR further differentiated FT and PD isolates by detecting speC gene (encoding mutated ornithin decarboxylase) in biovar Gallinarum (n=5; 3.73%) and glgC gene (encoding glycogen biosynthesis) in biovar Pullorum (n=3; 2.23%). The optimized PCR assay conditions of this study can be effectively used as diagnostic tool. Moreover, this study suggests the need for routine surveillance of bvSG and bvSP at the indigenous poultry production systems.
Article Information
Received 23 March 2024
Revised 20 October 2024
Accepted 31 October 2024
Available online 23 January 2025
(early access)
Published 13 December 2025
Authors’ Contribution
MA and AA designed the project, conceptualization, data curation, managed resources, performed major experiments and wrote original draft. MAA performed formal analysis, reviewing, formatting, editing, and financial support. AJ contributed in sample collection and performed minor experiment. MKS carried out postmortem and clinical diagnosis of poultry birds. AA and YS provided laboratory resources. IH and AA supervised overall study. All authors contributed to proof-reading and approved the final version of the manuscript.
Key words
Salmonella, PCR, Biovar Gallinarum, Biovar Pullorum, Poultry
DOI: https://dx.doi.org/10.17582/journal.pjz/20240323132852
* Corresponding author: [email protected]
0030-9923/2026/0001-0051 $ 9.00/0
Copyright 2026 by the authors. Licensee Zoological Society of Pakistan.
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Introduction
The burden of food-borne diseases (FBD) is substantial and every year almost 1 in 10 people fall ill and 33 million of healthy life years are lost (Grace, 2023). Salmonella is known as one of the most important food-borne pathogens worldwide. Non-typhoidal Salmonella are major cause of infections caused by FBD in developed and developing countries (Elmonir et al., 2023). Natural reservoirs of Salmonella are humans, food animals (poultry, cattle, pigs), pets (cats, dogs, birds), reptiles (turtles) and rodents (rats). Multiple serovar of Salmonella are infecting commercial and backyard egg production units (Jajere, 2019). The bacterium can pass through entire food chain starting from animal feed, primary production, food handlers and finally to the consumers (Fàbrega and Vila, 2013). Most of the serovars cause diseases in humans while a few are host-specific and can inhabit in only one or a few animal species, for example, Salmonella enterica serovar Dublin in cattle and Salmonella enterica serovar Choleraesuis in pigs (Shaji et al., 2023). Salmonella enterica sub-specie enterica serovar Gallinarum (S. Gallinarum) biovars Gallinarum (S. Gallinarum/bvSG) and biovar Pullorum (S. Pullorum/bvSP) are the etiologic agents of fowl typhoid (FT) and pullorum disease (PD), respectively. Both pathogens exhibits host-specificity towards avian species primarily affecting poultry birds but turkeys, guinea fowls, parrots, sparrows and other birds can also be affected (Shivaprasad, 2000).
Possible source of Salmonella in poultry meat and eggs is due to cross contamination with feces (Carrasco et al., 2012). Although FT and PD are widely distributed among the poultry flocks across the world, but the diseases have been eradicated from commercial poultry in developed countries including Canada, Europe and United States (Kang et al., 2022) due to organized poultry production system. Morbidity of FT among Salmonella infected birds is 10%-100%, while mortality increases up to 100% due to stress in immuno-compromised birds (Batista et al., 2018). A meta-analysis-based study of literature has reported the global prevalence of S. Gallinarum as 8.54% in total samples processed during 1945 to 2021. Whereas, studies from 17 countries of Asia continent showed prevalence of S. gallinarum as 25.75% in Bangladesh and 19.77% in India (Zhou et al., 2022). Morbidity of PD among Salmonella infected birds is 10%-80% but there is a chance of highest mortality in bird of 2-3 weeks of age and may be up to 100% due to stress in immuno-compromised birds. S. pullorum occasionally causes losses among adult birds, but it causes mortality in young birds such as 20-days-old chicken (Batista et al., 2018). A meta-analysis-based study of literature has reported the global prevalence of S. pullorum as 15.79% in total samples processed during 1945 to 2021 and studies from Pakistan showed 7.33% prevalence of S. Pullorum (Zhou et al., 2022). Fowl typhoid and Pullorum disease occurrence was reported since the last decade from South Asian (SA) countries including India 69.6% incidence among broilers (Arora et al., 2015), outbreaks in backyard poultry (Dey et al., 2016), poultry production (Kumar et al., 2019), Bangladesh (Rani et al., 2022) and Bhutan (Penjor et al., 2023), while data from other SA countries is under-reported to date.
In vitro amplification of highly conserved genes of Salmonella genus by polymerase chain reaction (PCR) assay is befitting in detection of the pathogen accurately (Spickler, 2019). A duplex-PCR was developed to target speC gene (encoding mutated ornithin decarboxylase) in biovar Gallinarum and glgC gene (encoding glycogen bio-synthesis) in biovar Pullorum, simultaneously (Kang et al., 2011). A bunch of regions of differences (RODs) among bvSG and bvSP were identified that can be used as targets to differentiate both biovars by PCR assay. Among all those RODs, ROD-4 was a part of the ratA gene (a hypothetical protein), that can be used as molecular marker to differentiate bvSG from bvSP (Batista et al., 2013). Genome of S. Gallinarum has provided the breakthrough in finding the suitable gene differences to differentiate both bvSG and bvSP.
Multiple studies from different cities of Pakistan have reported Salmonella including prevalence of Pullorum disease based on serological testing from Kasur (Bhatti et al., 2013), detection of the rfbS gene among bvSG and bvSP isolates in raw frozen and fresh poultry meat obtained from retail markets of Quetta (Samad et al., 2019), sero-prevalence and pathological studies of bvSG affected birds from Faisalabad poultry farms (Shakir et al., 2021), pathological and immuno-histochemical findings among bvSG affected broilers of Lahore (Saleem et al., 2022), sero-prevalence and immunological studies of bvSP affected broilers from Faisalabad (Mahmood et al., 2022). However, molecular assay study reports were deficient from Faisalabad, and none of the above mentioned studies had detected differentiating genes from both biovars at molecular level. In the current study, conventional bacteriological methods such as culturing on selective and differential media (XLD, BGA etc.), biochemical testing, Gram’s staining, sugar-test, are combined with molecular assay (gradient PCR, monoplex and duplex PCR, agarose gel electrophoresis), targeting, aroC, ratA, speC and glgC genes for differential identification of both biovars. The optimized PCR assay conditions can be effectively used as diagnostic tool for detection of S. gallinarum and S. pullorum.
Materials and Methods
Samples collection
A total of one-hundred and thirty-four poultry samples (n=134) were collected from Broilers, Layers and Golden/Misri breed died due to bacterial infections at poultry farms in/around Faisalabad (Gojra) as well as from pathology diagnostic laboratory at University of Agriculture, Faisalabad (UAF). Fecal samples (n=20), eggs (n=20), tissue samples (n=64) were collected in sterile containers ensuring each sample is from different hen. In addition, mixed meat samples (n=30) were collected from 1 day old non-medicated and non-vaccinated chicks. The purpose of including a variety of samples (fecal, eggs etc) in this study was to check whether the pathogens are transferred into infected bird’s faeces and eggs, or not. Samples were stored in a sunlight protected box, carrying ice packed plastic bag (4ºC) to minimize spoilage during transportation.
Non-selective and selective enrichment
Each tissue sample was minced and 5 g of it was added in a flask containing sterilized buffered peptone water (BPW) (Oxoid, UK) and incubated at 37oC for 18-24 h. Fecal swabs were dipped into 5ml sterilized tryptic soy broth (TSB) (Oxoid, UK) and incubated at 37oC for 18-24 h. Eggs were pooled in a sterilized empty flask, stirred, and 20ml of the egg contents were added into sterilized BPW (180ml) and incubated at 37oC for 18-24 h. About 1ml of turbid growth from each sample was inoculated into sterilized Rappaport-Vassiliadis Soy (RVS) broth (Oxoid, UK) in sterilized falcon tubes for selective enrichment and incubated at 42oC for 18-24 h.
Differential and selective culturing
A loop full of turbid growth from RVS media, was streaked on MacConkey agar media (Oxoid, UK) and plates were incubated at 37oC for 18-24 h. Next day, non-lactose fermenting colonies were suspected as Salmonella and were chosen for further processing. Brilliant green agar (BGA) media (Oxoid, UK) was used for sub-culturing and incubated at 37oC for 18-24 h. In parallel to BGA, xylose lysine deoxycholate (XLD) agar media (Oxoid, UK) was also used and typical Salmonella like colonies with black centers appeared on it after incubation at 37 oC for 18-24 h.
Biochemical characterization of Salmonella spp.
A single well separated colony from bacterial culture on BGA or XLD agar plates was inoculated on the triple sugar iron (TSI) agar (Oxoid, UK) slants by stabbing the butt in the middle and then streaked it lightly over the slant surface area. The slants test tubes were incubated at 37oC for 18-24 h, to check sugar fermentation by Salmonella. Other biochemical tests of the pathogen were detected by using rapid biochemical test panel RapIDTM ONE System (Thermo Fisher Scientific™), according to the manufacturer’s guidelines, visible color reactions were noted and compared to the reactivity patterns available in database (ERIC® software) to interpret the results.
DNA extraction for purified DNA
The isolates were confirmed on the molecular basis by regular, nested, and duplex Polymerase chain reaction (PCR) assay. Purified Salmonella colonies were enriched for overnight in sterilized 5 ml TSB broth. Total genomic DNA from the bacterial culture was extracted by rapid DNA extraction kit (Thermo Fisher Scientific™) according to the manufacturer’s guidelines. The purity and integrity of extracted DNA sample was estimated by using NanoDrop spectrophotometer (Thermo Fisher Scientific™).
Molecular assay for identification of Salmonella spp.
For the amplification of desired genes, oligonucleotide primers (Thermo Fisher Scientific™), ready to use PCR super mix (AccuPrime™ Supermix II, Invitrogen, USA) and purified DNA were further used the reaction. Salmonella enterica isolates were confirmed by targeting aroC gene (Kidgell et al., 2002) by monoplex PCR. The sensitivity and/or specificity of PCR was increased by applying nested PCR (Kidgell et al., 2002), by using the product of monoplex PCR as template. The primer sequences, thermal cycler conditions and the amplicon size of targeted gene in base-pair (bp), is shown in the Table I.
Molecular assay to differentiate bvSG and bvSP
A monoplex PCR was performed to confirm Salmonella enterica serovars Gallinarum biovar Gallinarum and/or biovar Pullorum by targeting ratA gene that produced a single product of either 1,047 bp in case of bvSG, or 243 bp in case of bvSP (Batista et al., 2013). A duplex PCR was performed to differentiate bvSG and bvSP by targeting speC and glgC genes simultaneously, that produced two amplicons of 174 bp and 252 bp in case of bvSG or one amplicon of 174 bp in case of bvSG (Kang et al., 2011). The primer sequences, thermal cycler conditions and the amplicon size of each targeted gene in base-pair (bp), is shown in the Table I.
The amplified PCR products were electrophoresed on 1.5% or 2.0% agarose gel, according to the amplicon bp size. To estimate the amplified gene bp size DNA ladder (Invitrogen) was used, gel was visualized under UV illumination system and the image was captured by gel documentation system (GelDoc-IT ™ imaging system).
Results
Culturing on the differential and selective agar media results showed 47 isolates (35.07%) samples positive for typical Salmonella like growth. On MacConkey agar media non-lactose fermenting colorless colonies, on BGA agar media red-pinkish-white opaque colonies and on XLD agar media red colonies with black centers (H2S production) were confirmed as typical Salmonella like colonies. A total of 31 isolates (23.13%) were confirmed positive for typical Salmonella like growth on TSI agar slants as a result of dextrose fermentation (red slant, yellow butt, blackening of the medium) and H2S production (Fig. 1). Gram’s staining results of all isolates showed gram negative rods under microscope. Biochemical tests on Remel RapID ONE identification system confirmed all of the isolates as Salmonella. The aroC primers are specific for genus Salmonella that amplified aroC gene (encoding chorismate synthase) of the pathogen, produced an amplicon of 639 bp thus confirmed 18 isolates (13.43%) as Salmonella by molecular assay. A nested PCR was performed using aroC nested primers that further confirmed Salmonella by generating an amplicon of 460 bp. Monoplex PCR used the ratA primers specific for biovars Gallinarum and Pullorum, amplified ratA gene (encoding region of difference; a hypothetical protein) of the pathogen and produced single product amplicon of 1,047bp thus confirmed 5 isolates (3.73%) as biovar Gallinarum (Fig. 2). None of the isolates showed an amplicon of 243bp that was expected in case of biovar Pullorum. Duplex PCR that used speC and glgC primers simultaneously, to differentiate biovar Gallinarum and biovar Pullorum. The speC gene (encoding mutated ornithin decarboxylase) of the pathogen was amplified and produced two amplicon of 174 bp and 252 bp thus confirmed 5 isolates (3.73%) as biovar Gallinarum. The glgC gene (encoding glycogen bio-synthesis) of the pathogen was amplified and produced a single amplicon of 174 bp thus confirmed 3 isolates (2.23%) as biovar Pullorum. No bvSG or bvSP (0%) was recovered from fecal samples and egg’s contents (Fig. 3).
Discussion
In the present study, conventional bacteriological methods for characterization of the pathogen including culturing, sugar fermentation, hydrogen sulfide (H2S) production, biochemical characterization tests are combined with sensitive and specific molecular assay method to detect biovars. For sample collection, common signs observed postmortem lesions were similar to those described earlier (WOAH Terrestrial Manual, 2018). About 47 cultures out of 134 samples, were found positive as they showed typical Salmonella cultural characteristics on agar media plates. The culture results were similar to the studies as reported before (Khan et al., 2014; Sohail et al., 2021). The percent positivity of the present findings is recorded as 35.07% based on conventional culture methods. The result nearly matches to the previous findings which reported 36.50% positivity of the pathogen based on culture methods, from poultry samples (Habib-ur-Rehman et al., 2004).
In this study, Salmonella enterica serovar Gallinarum (bvSG, bvSP) were not recovered from cloacal swabs and eggs. The prevalence of Salmonella-positive isolates in faeces and egg contents can be variable. Previous studies have reported several factors for this variability, including; sample size, season of sample collection (winter/summer etc), flock condition (free ranged/controlled shed etc.), bird’s health, hygiene conditions, techniques used and many other factors (Soria et al., 2012). A total of 31 Salmonella isolates (23.13%) were obtained from tissue samples, that were further confirmed by rapid biochemical tests kit. The results based on biochemical methods are nearly equal to the previous findings, which used the same conventional and/or rapid biochemical tests for the isolation of Salmonella spp. from chicken meat (Gast and Porter, 2019). So, the findings of this study strongly match to previous studies (Begum et al., 2010; Singh et al., 2010; Menghistu et al., 2011; Shahzad et al., 2012).
Molecular confirmation was carried out targeting aroC PCR assay for detection of Salmonella at genus level. The present findings showed 18 isolates (13.43%) positive for presence of this gene, that produced an amplified product of 639 bp, out of 31 isolates obtained by culture methods from tissue samples. The aroC primers have been utilized in the previous studies and are specific for Salmonella (Kidgell et al., 2002). It was attributed to the fact that irrespective of the growth potential, PCR can detect target sequences of the target cells. The sensitivity of assay was increased up to 100% by using nested aroC PCR primers.
S. gallinarum carries a mutation in speC gene encoding ornithin de-carboxylase, making the one remaining intact arginine catabolic pathway, involving arginine de-carboxylase, an essential bio-synthetic route for putrescine. The mutation in speC could explain the inability of S. gallinarum to de-carboxylate ornithine, a defining feature of this serovars. Unlike other Salmonella serovars, bvSG and bvSP are unable to produce glycogen. In bvSG glycogen metabolism is altered through mutations in the glgA, glgB, glgC genes that encodes glycogen production, while bvSP does not possess the same deletions in glgC, and this gene may be detected as differentiating feature of both biovars (Barrow and Neto, 2011). For differential identification of the both biovars, the duplex PCR assay targeting speC and glgC genes was performed. It successfully differentiate both biovars bvSG (3.73%) and bvSP (2.23%) in this study and produced similar results as described previously by Kang et al. (2011).
Previously during 2000s, other DNA based detection techniques were developed to differentiate these biovars, some of which require restriction fragment length polymorphism (RFLP) analysis after regular PCR (Park et al., 2001; Kisiela et al., 2005). The cost of extra enzymes and the requirement of further steps are evident disadvantages when correlated against the assay presented herein. Earlier studies have used an allele-specific PCR assay to differentiate the serovar Gallinarum and its both biovars based on the polymorphism of the rfbS gene (Desai et al., 2005; Shah et al., 2005). For that analysis, using different primer combinations, a given DNA sample must be tested two times. Furthermore, there was considerable risk of false negatives through technical failures. In contrast, the PCR assays described in this study generated amplicons of different sizes for each biovar, thus avoiding this potential problem and analysis time.
A duplex PCR assay was developed during 2011, based on an 11-bp deletion in the glgC gene (a pseudo-gene in S. gallinarum) and a 4-bp deletion in speC (a pseudo-gene in both biovars). In bacterial genomes, pseudo-genes are continually created from ongoing mutational processes and are subject to degradation and removal by further accumulation of mutations. Their retention time seems to be extremely short and, even in very closely related bacteria, they tend to be deleted at a relatively rapid rate. The 793-bp difference between the biovars used in the current study occurs in ratA, a gene which, from the genome annotation, is not a pseudo-gene in S. gallinarum or S. pullorum. In addition, no premature stop codons were noticed in the open reading frames of ratA in either biovar. The ratA gene has also not been found to be a pseudo-gene in any other Salmonella serovars examined to date. The ROD located at ratA is thus more suitable for differentiation between S. Gallinarum and S. Pullorum than molecular markers used previously (Batista et al., 2013; Farhat et al., 2024). The PCR assay based on this gene may show a powerful tool for differentiating these two biovars when performed from isolated colonies of the Salmonella spp.
An overview from other countries shows that, S. pullorum outbreaks in adult layers are investigated by using whole genome sequencing (WGS) in China (Hu et al., 2019), Netherlands (Molenaar et al., 2023) and France (Bouquin et al., 2021), so far. A study from Brazil published a complete genome of a field and vaccinal strain of bvSG and compared their genomic characteristics (Chacón et al., 2023). While studies including advanced molecular methods for the detection of poultry isolates are limited from Pakistan, except a study on PCR-based detection of bvSG isolates from samples of Lahore poultry (Munir et al., 2023).
Routine surveillance of bvSG and bvSP in the poultry production system is needed. Moreover, this study suggests need of strengthening the monitoring prog for control of Salmonella in food production chain and promotion of national policies to reduce the emergence of drug-resistant bacterial strains. In addition, interventions such as vaccines, probiotics and natural herbs can be considered to reduce bacterial burden and spread at animal-human-environment interface. It is essential to raise awareness among all those involved in the poultry industry (farmers, poultry farm workers, technical staff, etc.) to be able to detect any outbreak quickly.
Conclusion
The application of PCR as a molecular assay for the rapid detection of Salmonella species is a promising tool and it has the potential to be applied to the diverse clinical samples as it is highly sensitive and specific test. The differential identification of the biovar Gallinarum and biovar Pullorum helps in earlier confirmation of infections and effective eradication of Fowl typhoid and Pullorum disease from the flocks respectively. The methods optimized in this study may decrease the time of diagnosis and increase the specificity and sensitivity for precise diagnosis and timely start of targeted antimicrobial therapy.
Declarations
Acknowledgments
The research work was technically supported by National Institute for Biotechnology and Genetic Engineering College, Pakistan Institute of Engineering and Applied Sciences (NIBGE-C, PIEAS), Faisalabad, Pakistan.
Funding
This study did not receive grant from any kind of funding agency (public, commercial or non-profit organization, etc).
IRB approval
The study was approved by Institutional Review Board (IRB) of the University of Lahore, Pakistan.
Ethical statement
No culling of birds or any drug intervention was required to conduct the proposed study. All the experimental procedures were conducted on the specimens collected from dead birds. All the poultry farm owners gave informed consent before taking part in the current study.
Statement of conflict of interest
The authors have declared no conflict of interest.
References
Arora, D., Kumar, S., Jindal, N., Narang, G., Kapoor, P.K. and Mahajan, N.K., 2015. Prevalence and epidemiology of Salmonella enterica serovar Gallinarum from poultry in some parts of Haryana, India. Vet. World, 8: 1300–1304. https://doi.org/10.14202/vetworld.2015.1300-1304
Barrow, P. A. and Freitas Neto, O.C., 2011. Pullorum disease and fowl typhoid-new thoughts on old diseases: A review. Avian Pathol., 40: 1–13. https://doi.org/10.1080/03079457.2010.542575
Batista, A.D.F., de Freitas Neto, O.C., de Almeida, A.M., Maboni, G., de Carvalho, T.F., de Carvalho, T.P., Barrow, P.A. and Berchieri, A., 2018. Evaluation of pathogenicity of Salmonella Gallinarum strains harbouring deletions in genes whose orthologues are conserved pseudogenes in S. Pullorum. PLoS One, 13: 1–18. https://doi.org/10.1371/journal.pone.0200585
Batista, D.F.A., de Freitas Neto, O.C., Lopes, P.D., de Almeida, A.M., Barrow, P.A. and Berchieri, A., 2013. Polymerase chain reaction assay based on ratA gene allows differentiation between Salmonella enterica subsp. enterica serovar Gallinarum biovars Gallinarum and Pullorum. J. Vet. Diagn. Invest., 25: 259–262. https://doi.org/10.1177/1040638713479361
Begum, K.T.A.R., Haque, M., Hossain, A., Hassan, F.K., Hasan, N.A. and Barua, U., 2010. Isolation, identification and antibiotic resistance pattern of Salmonella spp. from chicken eggs, intestines and environmental samples. Bangladesh Pharm. J., 13: 23–27.
Bhatti, M.I., Ali, A.A. and Iftikhar, M., 2013. The prevalance of Salmonellosis in poultry farms in and around district Kasur, Pakistan. Sci. Int., 25: 603–604.
Bouquin, S.L., Bonifait, L., Thépault, A., Ledein, T., Guillon, F., Rouxel, S., Souillard, R. and Chemaly, M., 2021. Epidemiological and bacteriological investigations using whole-genome sequencing in a recurrent outbreak of Pullorum disease on a quail farm in france. Animals, 11: 1–10. https://doi.org/10.3390/ani11010029
Carrasco, E., Morales-Rueda, A. and García-Gimeno, R.M., 2012. Cross-contamination and recontamination by Salmonella in foods: A review. Fd. Res. Int., 45: 545–556. https://doi.org/10.1016/j.foodres.2011.11.004
Chacón, R.D., Chacón, J.L., Ramírez, M., Cueva, C.L.R., Quispe-Rojas, W.U., Reyes-Moreno, C.B., Astolfi-Ferreira, C.S. and Ferreira, A.J.P., 2023. Complete genome sequence data of two Salmonella enterica subsp. enterica serovar Gallinarum: A 9R vaccine strain and a virulent Brazilian field strain. Data Br., 47. https://doi.org/10.1016/j.dib.2023.108959
Desai, A.R., Shah, D.H., Shringi, S., Lee, M.J., Li, Y.H., Cho, M.R., Park, J.H., Eo, S.K., Lee, J.H. and Chae, J.S., 2005. An allele-specific PCR assay for the rapid and serotype-specific detection of Salmonella Pullorum. Avian Dis., 49: 558–561. https://doi.org/10.1637/7385-052205R.1
Dey, S., Mahanti, A., Batabyal, K., Joardar, S.N., Samanta, I., Isore, D.P. and Pakhira, M.C., 2016. Identification and antimicrobial susceptibility of Salmonella Gallinarum isolated from fowl typhoid outbreak in backyard vanaraja Fowl. Explor. Anim. Med. Res., 6: 63–67.
Elmonir, W., Abdeltawab, D., Sharkawy, H. and Zahran, R.N., 2024. Serotypes diversity, virulence, and antimicrobial resistance of non-typhoidal Salmonella isolates in commercial and backyard egg production systems in Egypt. Pakistan J. Zool., 4: 1501-2000. https://doi.org/10.17582/journal.pjz/20220802160857
Fàbrega, A. and Vila, J., 2013. Salmonella enterica serovar typhimurium skills to succeed in the host: Virulence and regulation. Clin. Microbiol. Rev., 26: 308–341. https://doi.org/10.1128/CMR.00066-12
Farhat, M., Khayi, S., Berrada, J., Mouahid, M., Ameur, N., El-Adawy, H. and Fellahi, S., 2024. Salmonella enterica serovar Gallinarum biovars Pullorum and Gallinarum in poultry: Review of pathogenesis, antibiotic resistance, diagnosis and control in the Genomic Era. Antibiotics, 13. https://doi.org/10.3390/antibiotics13010023
Gast, R.K. and Porter, R.E., 2019. Diseases of poultry. 14th edition. Section III: Bacterial diseases. Chapter: Salmonella infections. pp. 717–753. https://doi.org/10.1002/9781119371199.ch16
Grace, D., 2023. Burden of foodborne disease in low-income and middle-income countries and opportunities for scaling food safety interventions. Fd. Secur., 15: 1475–1488. https://doi.org/10.1007/s12571-023-01391-3
Habib-ur-Rehman, Khan, M.S., Khan, H. and Ahmad, N., 2004. Incidence and gross pathology of Salmonella Gallinarum infection in chicken. pp. 175–178.
Hu, Y., Wang, Z., Qiang, B., Xu, Y., Chen, X., Li, Q. and Jiaoa, X., 2019. Loss and gain in the evolution of the Salmonella enterica. mSphere, 4: e00627-1820. https://doi.org/10.1128/mSphere.00627-18
Jajere, S.M., 2019. A review of Salmonella enterica with particular focus on the pathogenicity and virulence factors, host specificity and adaptation and antimicrobial resistance including multidrug resistance. Vet. World, 12: 504–521. https://doi.org/10.14202/vetworld.2019.504-521
Kang, M.S., Kwon, Y.K., Jung, B.Y., Kim, A., Lee, K.M., An, B.K., Song, E.A., Kwon, J.H. and Chung, G.S., 2011. Differential identification of Salmonella enterica subsp. enterica serovar Gallinarum biovars Gallinarum and Pullorum based on polymorphic regions of glgC and speC genes. Vet. Microbiol., 147: 181–185. https://doi.org/10.1016/j.vetmic.2010.05.039
Kang, X., Yang, Y., Meng, C., Wang, X., Liu, B., Geng, S., Jiao, X. and Pan, Z., 2022. Safety and protective efficacy of Salmonella Pullorum spiC and rfaH deletion rough mutant as a live attenuated DIVA vaccine candidate. Poult. Sci., 101: 101655. https://doi.org/10.1016/j.psj.2021.101655
Khan, A., Mahmood, M.S., Hussain, I., Siddique, F., Rafique, A., Iqbal, A. and Abbas, R.Z., 2014. Bacteriological and epidemiological investigations of Pullorum disease in selected poultry farms of Faisalabad, Pakistan. Glob. Vet., 12: 455–460.
Kidgell, C., Reichard, U., Wain, J., Linz, B., Torpdahl, M., Dougan, G. and Achtman, M., 2002. Salmonella typhi, the causative agent of typhoid fever, is approximately 50,000 years old. Infect. Genet. Evol., 2: 39–45. https://doi.org/10.1016/S1567-1348(02)00089-8
Kisiela, D., Kuczkowski, M., Kiczak, L., Wieliczko, A. and Ugorski, M.. 2005. Differentiation of Salmonella Gallinarum biovar Gallinarum from Salmonella Gallinarum biovar Pullorum by PCR-RFLP of the fimH gene. J. Vet. Med. Ser. B Infect. Dis. Vet. Publ. Hlth, 52: 214–218. https://doi.org/10.1111/j.1439-0450.2005.00846.x
Kumar, Y., Singh, V. and Gulshan-Kumar, N.K.G., 2019. Serovar diversity of Salmonella among poultry. Indian J. Med. Res., 150: 92–95. https://doi.org/10.4103/ijmr.IJMR_1798_17
Mahmood, N., Rizvi, F., Saleemi, M.K. and Aslam, M.A., 2022. Seroprevalence and immunopathological studies of Salmonella Pullorum in broiler birds in District Faisalabad Pakistan. Pak. Vet. J., 42: 47–52.
Menghistu, H.T., Rathore, R., Dhama, K. and Agarwal, R.K., 2011. Isolation, identification and polymerase chain reaction (PCR) detection of Salmonella species from field materials of poultry origin. Avian Dis. Di., 2: 135–142.
Molenaar, R.J., Dijkman, R., Veen, C., Heuvelink, A., van Kaam, F. and Augustijn, M., 2023. A Salmonella Pullorum outbreak with neurological signs in adult layers and outbreak investigation using whole genome sequencing. Avian Pathol., 5: 44–55. https://doi.org/10.1080/03079457.2023.2268027
Munir, A., Ilyas, S.Z., Tahir, H., Basit, A., Haider, Z. and Rehman, S., 2023. PCR based early detection and antibiotic resistance pattern of Salmonella Gallinarum isolates from Pakistan poultry. J. Microbiol. Methods, 208: 106709. https://doi.org/10.1016/j.mimet.2023.106709
Park, M.K., Choi, K.S., Kim, M.C. and Chae, J.S., 2001. Differential diagnosis of Salmonella Gallinarum and S. Pullorum using PCR-RELP. J. Vet. Sci., 2: 213–219. https://doi.org/10.4142/jvs.2001.2.3.213
Penjor, K., Microbiol, I.D., Penjor, K., Gurung, M. and Islam, K., 2023. Resistance profile of Salmonella spp. in broiler carcasses from dominant poultry production areas in Bhutan. Res. Square, 1: 12–24. https://doi.org/10.21203/rs.3.rs-764457/v2
Rani, S., Alam, K.J., Saha, S.S., Rahman, M.M. and Alam, M.S., 2022. Seroprevalence, identification, and pathology of Salmonellosis in selected poultry farms at Barishal District of Bangladesh. Turk. J. Agric. Fd. Sci. Technol., 10: 1158–1164. https://doi.org/10.24925/turjaf.v10i6.1158-1164.4980
Saleem, G., Farooq, U., Javed, M.T., Naseer, R., Aslam, H.B., Mustafa, G., Omar, M.O. and Liaqat, I., 2022. Pathobiological and immunohistochemical findings in broiler chickens naturally infected with Salmonella enterica serotype Gallinarum biotype Gallinarum. Pak. Vet. J., 42: 88–94.
Samad, A., Abbas, F., Tanveer, Z., Ahmad, Z., Ahmad, I., Patching, S.G., Nawaz, N., Asmat, M.T., Raziq, A., Lah, A., Sheikh, I.S., Naeem, M., Pokryshko, O. and Mustafa, M.Z., 2019. Prevalence of Salmonella spp. in chicken meat from Quetta retail outlets and typing through multiplex PCR. Rom. Biotechnol. Lett., 24: 271–279. https://doi.org/10.25083/rbl/24.2/271.279
Shah, D.H., Park, J.H., Cho, M.R., Kim, M.C. and Chae, J.S., 2005. Allele-specific PCR method based on rfbS sequence for distinguishing Salmonella Gallinarum from Salmonella Pullorum: Serotype-specific rfbS sequence polymorphism. J. Microbiol. Methods, 60: 169–177. https://doi.org/10.1016/j.mimet.2004.09.005
Shahzad, A., Mahmood, M.S., Hussain, I., and Siddique, F., 2012. Storing-trays collected from poultry farms and marketing outlets of Faisalabad, Pakistan. Pak. J. Agric. Sci., 49: 565–568.
Shaji, S., Selvaraj, R.K. and Shanmugasundaram, R., 2023. Salmonella infection in poultry: A review on the pathogen and control strategies. Microorganisms, 11: 1–27. https://doi.org/10.3390/microorganisms11112814
Shakir, M.Z., Rizvi, F., Javed, M.T. and Arshad, M.I., 2021. Seroprevalence and pathological studies of Salmonella infection in commercial white layer birds. Microb. Pathog., 159: 105146. https://doi.org/10.1016/j.micpath.2021.105146
Shivaprasad, H.L., 2000. Fowl typhoid and pullorum disease. OIE Rev. Sci. Tech., 19: 405–424. https://doi.org/10.20506/rst.19.2.1222
Singh, S., Yadav, A.S., Singh, S.M. and Bharti, P., 2010. Prevalence of Salmonella in chicken eggs collected from poultry farms and marketing channels and their antimicrobial resistance. Fd. Res. Int., 43: 2027–2030. https://doi.org/10.1016/j.foodres.2010.06.001
Sohail, M.N., Rathnamma, D., Priya, S.C., Isloor, S., Naryanaswamy, H.D., Ruban, S.W. and Veeregowda, B.M., 2021. Salmonella from farm to table: Isolation, characterization, and antimicrobial resistance of Salmonella from commercial broiler supply chain and its environment. Biomed. Res. Int., 2021. https://doi.org/10.1155/2021/3987111
Soria, M.A., Soria, M.C. and Bueno, D.J., 2012. A comparative study of culture methods and polymerase chain reaction for Salmonella detection in egg content. Poult. Sci., 10: 2668-2676. https://doi.org/10.3382/ps.2012-02253
Spickler, A.D., 2019. Fact sheet: Fowl typhoid and pullorum disease. pp. 1-6.
WOAH Terrestrial Manual, 2018. Chapter: Fowl typhoid and pullorum disease. pp. 1-18
Zhou, X., Kang, X., Zhou, K. and Yue, M., 2022. A global dataset for prevalence of Salmonella Gallinarum between 1945 and 2021. Sci. Data, 9: 1–11. https://doi.org/10.1038/s41597-022-01605-x