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Fotopoulou ET, Jenkins C, Barker CR, Painset A, Didelot X, Simbo A, Douglas A, Godbole G, Jorgensen F, Gharbia S, McLauchlin† J. Genomic epidemiology of the clinically dominant clonal complex 1 in the Listeria monocytogenes population in the UK. Microb Genom 2024; 10:001155. [PMID: 38165396 PMCID: PMC10868620 DOI: 10.1099/mgen.0.001155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Accepted: 11/27/2023] [Indexed: 01/03/2024] Open
Abstract
Listeria monocytogenes is a food-borne pathogen, typically affecting the elderly, immunocompromised patients and pregnant women. The aim of this study was to determine the population structure of L. monocytogenes clonal complex 1 (CC1) in the UK and describe the genomic epidemiology of this clinically significant CC. We interrogated a working dataset of 4073 sequences of L. monocytogenes isolated between January 2015 and December 2020 from human clinical specimens, food and/or food-production environments. A minimum spanning tree was reconstructed to determine the population structure of L. monocytogenes in the UK. Subsequent analysis focused on L. monocytogenes CC1, as the cause of the highest proportion of invasive listeriosis in humans. Sequencing data was integrated with metadata on food and environmental isolates, and information from patient questionnaires, including age, sex and clinical outcomes. All isolates either belonged to lineage I (n=1299/4073, 32%) or lineage II (n=2774/4073, 68%), with clinical isolates from human cases more likely to belong to lineage I (n=546/928, 59%) and food isolates more likely to belong to lineage II (n=2352/3067, 77%). Of the four largest CCs, CC1 (n=237) had the highest proportion of isolates from human cases of disease (CC1 n=160/237, 67.5 %; CC121 n=13/843, 2 %; CC9 n=53/360, 15 %; CC2 n=69/339, 20%). Within CC1, most cases were female (n=95/160, 59%, P=0.01771) and the highest proportion of cases were in people >60 years old (39/95, 41%, P=1.314×10-6) with a high number of them aged 20-39 years old (n=35/95, 37%) most linked to pregnancy-related listeriosis (n=29/35, 83%). Most of the male cases were in men aged over 60 years old (40/65, 62%), and most of the fatal cases in both males and females were identified in this age group (42/55, 76%). Phylogenetic analysis revealed 23 5 SNP single linkage clusters comprising 80/237 (34 %) isolates with cluster sizes ranging from 2 to 19. Five 5 SNP clusters comprised isolates from human cases and an implicated food item. Expanding the analysis to 25 SNP single linkage clusters resolved an additional two clusters linking human cases to a potential food vehicle. Analysis of demographic and clinical outcome data identified CC1 as a clinically significant cause of invasive listeriosis in the elderly population and in women of child-bearing age. Phylogenetic analysis revealed the population structure of CC1 in the UK comprised small, sparsely populated genomic clusters. Only clusters containing isolates from an implicated food vehicle, or food processing or farming environments, were resolved, emphasizing the need for clinical, food and animal-health agencies to share sequencing data in real time, and the importance of a One Health approach to public-health surveillance of listeriosis.
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Affiliation(s)
- Emily T. Fotopoulou
- Water and Environmental Microbiology Services, UK Health Security Agency Food, 61 Colindale Avenue, London NW9 5EQ, UK
- Gastrointestinal Bacteria Reference Unit, UK Health Security Agency, 61 Colindale Avenue, London NW9 5EQ, UK
| | - Claire Jenkins
- Water and Environmental Microbiology Services, UK Health Security Agency Food, 61 Colindale Avenue, London NW9 5EQ, UK
- Gastrointestinal Bacteria Reference Unit, UK Health Security Agency, 61 Colindale Avenue, London NW9 5EQ, UK
| | - Clare R. Barker
- Water and Environmental Microbiology Services, UK Health Security Agency Food, 61 Colindale Avenue, London NW9 5EQ, UK
- Health Protection Research Unit in Gastrointestinal Infections, National Institute for Health and Care Research, University of Liverpool, Liverpool L69 7BE, UK
| | - Anais Painset
- Water and Environmental Microbiology Services, UK Health Security Agency Food, 61 Colindale Avenue, London NW9 5EQ, UK
| | - Xavier Didelot
- Gastrointestinal Bacteria Reference Unit, UK Health Security Agency, 61 Colindale Avenue, London NW9 5EQ, UK
- Health Protection Research Unit in Gastrointestinal Infections, National Institute for Health and Care Research, University of Liverpool, Liverpool L69 7BE, UK
- Health Protection Research Unit in Genomics and Enabling Data, National Institute for Health and Care Research, University of Warwick, Coventry CV4 7AL, UK
| | - Ameze Simbo
- School of Life Sciences and Department of Statistics, University of Warwick, Coventry CV4 7AL, UK
| | - Amy Douglas
- School of Life Sciences and Department of Statistics, University of Warwick, Coventry CV4 7AL, UK
| | - Gauri Godbole
- School of Life Sciences and Department of Statistics, University of Warwick, Coventry CV4 7AL, UK
| | - Frieda Jorgensen
- Gastrointestinal Infections and Food Safety (One Health) Division, UK Health Security Agency, 61 Colindale Avenue, London NW9 5EQ, UK
| | - Saheer Gharbia
- Water and Environmental Microbiology Services, UK Health Security Agency Food, 61 Colindale Avenue, London NW9 5EQ, UK
- Health Protection Research Unit in Gastrointestinal Infections, National Institute for Health and Care Research, University of Liverpool, Liverpool L69 7BE, UK
| | - Jim McLauchlin†
- Gastrointestinal Infections and Food Safety (One Health) Division, UK Health Security Agency, 61 Colindale Avenue, London NW9 5EQ, UK
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Sakshi, Dhaka P, Bedi JS, Aulakh RS, Singh R, Gill JPS. Assessing and Prioritizing Zoonotic Diseases in Punjab, India: A One Health Approach. ECOHEALTH 2023; 20:300-322. [PMID: 37989991 DOI: 10.1007/s10393-023-01654-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 07/08/2023] [Accepted: 07/12/2023] [Indexed: 11/23/2023]
Abstract
Zoonotic diseases have a significant impact on both human and animal health globally. The present study was planned to prioritize the zoonoses in Punjab state of India. To develop a zoonotic disease prioritization scoring system, a comprehensive approach has been taken, including literature review, key person interviews with animal health experts (n = 12) and medical professionals (n = 7), and nine focus group discussions (FGDs) with veterinary academicians, medical professionals, and field veterinary doctors. The scoring system comprises of seven major criteria, each assigned a weightage score (ws): prevalence/incidence of the disease (ws = 0.20), severity of illnesses in humans (ws = 0.18), epidemic potential (ws = 0.16), socio-economic burden (ws = 0.16), availability of effective control and prevention measures (ws = 0.15), inter-sectoral collaborations (ws = 0.1), and bioterrorism potential (ws = 0.05). The finalized scoring system, accompanied by a list of 15 selected zoonotic diseases, was implemented among a group of 23 professionals engaged in zoonoses research (n = 7), animal health (n = 10), and medical health (n = 6) to determine their prioritization. The zoonotic diseases prioritized for the Punjab (India) included, Brucellosis (0.70) > Rabies (0.69) > Anthrax (0.64) > Leptospirosis (0.62) = Toxoplasmosis (0.62) = Highly Pathogenic Avian Influenza (HPAI) (0.62) > Bovine tuberculosis (0.61) > Q fever (0.60) > Cysticercosis (0.59) > Listeriosis (0.58) > Crimean-Congo haemorrhagic fever (CCHF) (0.57) > Japanese encephalitis (0.56) = Echinococcosis (0.56) > Dermatophytosis (0.53) > and Scrub typhus (0.48), respectively. Higher priority is suggested for endemic zoonoses (e.g., brucellosis and rabies) as compared to those with epidemic potential (e.g., CCHF, HPAI etc.) in Punjab. Results of the current study will help in the development of targeted control and prevention strategies for zoonotic diseases in Punjab and other geographical regions facing similar challenges.
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Affiliation(s)
- Sakshi
- Centre for One Health, College of Veterinary Science, Guru Angad Dev Veterinary and Animal Sciences University, Ludhiana, 141004, India
| | - Pankaj Dhaka
- Centre for One Health, College of Veterinary Science, Guru Angad Dev Veterinary and Animal Sciences University, Ludhiana, 141004, India.
| | - Jasbir Singh Bedi
- Centre for One Health, College of Veterinary Science, Guru Angad Dev Veterinary and Animal Sciences University, Ludhiana, 141004, India
| | - Rabinder Singh Aulakh
- Centre for One Health, College of Veterinary Science, Guru Angad Dev Veterinary and Animal Sciences University, Ludhiana, 141004, India
| | - Randhir Singh
- Centre for One Health, College of Veterinary Science, Guru Angad Dev Veterinary and Animal Sciences University, Ludhiana, 141004, India
| | - Jatinder Paul Singh Gill
- Centre for One Health, College of Veterinary Science, Guru Angad Dev Veterinary and Animal Sciences University, Ludhiana, 141004, India
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Lal R, Singh BK, Sar P, Phale P. The assessment of microbial ecology: a special emphasis on the Indian scenario. ENVIRONMENTAL MICROBIOLOGY REPORTS 2022; 14:325-329. [PMID: 35362197 DOI: 10.1111/1758-2229.13067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Accepted: 03/26/2022] [Indexed: 06/14/2023]
Affiliation(s)
- Rup Lal
- The Energy & Resources Institute, New Delhi, 110003, India
| | - Brajesh K Singh
- Global Centre for Land-Based Innovation, Western Sydney University, Penrith, NSW, 2751, Australia
- Hawkesbury Institute for the Environment, Western Sydney University, Penrith, NSW, 2751, Australia
| | - Pinaki Sar
- Environmental Microbiology and Genomics Laboratory, Department of Biotechnology, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, 721302, India
| | - Prashant Phale
- Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Mumbai, 400076, India
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