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Rossi G, Shih BBJ, Egbe NF, Motta P, Duchatel F, Kelly RF, Ndip L, Sander M, Tanya VN, Lycett SJ, Bronsvoort BM, Muwonge A. Unraveling the epidemiology of Mycobacterium bovis using whole-genome sequencing combined with environmental and demographic data. Front Vet Sci 2023; 10:1086001. [PMID: 37266384 PMCID: PMC10230100 DOI: 10.3389/fvets.2023.1086001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Accepted: 04/14/2023] [Indexed: 06/03/2023] Open
Abstract
When studying the dynamics of a pathogen in a host population, one crucial question is whether it transitioned from an epidemic (i.e., the pathogen population and the number of infected hosts are increasing) to an endemic stable state (i.e., the pathogen population reached an equilibrium). For slow-growing and slow-evolving clonal pathogens such as Mycobacterium bovis, the causative agent of bovine (or animal) and zoonotic tuberculosis, it can be challenging to discriminate between these two states. This is a result of the combination of suboptimal detection tests so that the actual extent of the pathogen prevalence is often unknown, as well as of the low genetic diversity, which can hide the temporal signal provided by the accumulation of mutations in the bacterial DNA. In recent years, the increased availability, efficiency, and reliability of genomic reading techniques, such as whole-genome sequencing (WGS), have significantly increased the amount of information we can use to study infectious diseases, and therefore, it has improved the precision of epidemiological inferences for pathogens such as M. bovis. In this study, we use WGS to gain insights into the epidemiology of M. bovis in Cameroon, a developing country where the pathogen has been reported for decades. A total of 91 high-quality sequences were obtained from tissue samples collected in four abattoirs, 64 of which were with complete metadata. We combined these with environmental, demographic, ecological, and cattle movement data to generate inferences using phylodynamic models. Our findings suggest M. bovis in Cameroon is slowly expanding its epidemiological range over time; therefore, endemic stability is unlikely. This suggests that animal movement plays an important role in transmission. The simultaneous prevalence of M. bovis in co-located cattle and humans highlights the risk of such transmission being zoonotic. Therefore, using genomic tools as part of surveillance would vastly improve our understanding of disease ecology and control strategies.
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Affiliation(s)
- Gianluigi Rossi
- The Roslin Institute, R(D)SVS, University of Edinburgh – Easter Bush Campus, Midlothian, United Kingdom
- Centre of Expertise on Animal Diseases Outbreaks, EPIC, Edinburgh, United Kingdom
| | - Barbara Bo-Ju Shih
- The Roslin Institute, R(D)SVS, University of Edinburgh – Easter Bush Campus, Midlothian, United Kingdom
| | - Nkongho Franklyn Egbe
- School of Life Sciences, University of Lincoln, Brayford Pool, Lincoln, United Kingdom
| | - Paolo Motta
- The Food and Agriculture Organization of the United Nations, Regional Office for Asia and the Pacific, Bangkok, Thailand
| | - Florian Duchatel
- The Roslin Institute, R(D)SVS, University of Edinburgh – Easter Bush Campus, Midlothian, United Kingdom
| | - Robert Francis Kelly
- Royal (Dick) School of Veterinary Studies and the Roslin Institute, University of Edinburgh, Easter Bush, Midlothian, United Kingdom
| | - Lucy Ndip
- Laboratory for Emerging Infectious Diseases, University of Buea, Buea, Cameroon
- Department of Biomedical Sciences, Faculty of Health Sciences, University of Buea, Buea, Cameroon
| | | | | | - Samantha J. Lycett
- The Roslin Institute, R(D)SVS, University of Edinburgh – Easter Bush Campus, Midlothian, United Kingdom
- Centre of Expertise on Animal Diseases Outbreaks, EPIC, Edinburgh, United Kingdom
| | - Barend Mark Bronsvoort
- The Roslin Institute, R(D)SVS, University of Edinburgh – Easter Bush Campus, Midlothian, United Kingdom
- Centre of Expertise on Animal Diseases Outbreaks, EPIC, Edinburgh, United Kingdom
| | - Adrian Muwonge
- The Roslin Institute, R(D)SVS, University of Edinburgh – Easter Bush Campus, Midlothian, United Kingdom
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Glover JD, Sudderick ZR, Shih BBJ, Batho-Samblas C, Charlton L, Krause AL, Anderson C, Riddell J, Balic A, Li J, Klika V, Woolley TE, Gaffney EA, Corsinotti A, Anderson RA, Johnston LJ, Brown SJ, Wang S, Chen Y, Crichton ML, Headon DJ. The developmental basis of fingerprint pattern formation and variation. Cell 2023; 186:940-956.e20. [PMID: 36764291 DOI: 10.1016/j.cell.2023.01.015] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 11/04/2022] [Accepted: 01/10/2023] [Indexed: 02/11/2023]
Abstract
Fingerprints are complex and individually unique patterns in the skin. Established prenatally, the molecular and cellular mechanisms that guide fingerprint ridge formation and their intricate arrangements are unknown. Here we show that fingerprint ridges are epithelial structures that undergo a truncated hair follicle developmental program and fail to recruit a mesenchymal condensate. Their spatial pattern is established by a Turing reaction-diffusion system, based on signaling between EDAR, WNT, and antagonistic BMP pathways. These signals resolve epithelial growth into bands of focalized proliferation under a precociously differentiated suprabasal layer. Ridge formation occurs as a set of waves spreading from variable initiation sites defined by the local signaling environments and anatomical intricacies of the digit, with the propagation and meeting of these waves determining the type of pattern that forms. Relying on a dynamic patterning system triggered at spatially distinct sites generates the characteristic types and unending variation of human fingerprint patterns.
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Affiliation(s)
- James D Glover
- The Roslin Institute and R(D)SVS, University of Edinburgh, Edinburgh EH25 9RG, UK
| | - Zoe R Sudderick
- The Roslin Institute and R(D)SVS, University of Edinburgh, Edinburgh EH25 9RG, UK
| | - Barbara Bo-Ju Shih
- The Roslin Institute and R(D)SVS, University of Edinburgh, Edinburgh EH25 9RG, UK
| | | | - Laura Charlton
- Institute of Mechanical, Process and Energy Engineering, Heriot-Watt University, Edinburgh EH14 4AS, UK
| | - Andrew L Krause
- Department of Mathematical Sciences, Durham University, Durham DH1 3LE, UK
| | - Calum Anderson
- Institute of Mechanical, Process and Energy Engineering, Heriot-Watt University, Edinburgh EH14 4AS, UK
| | - Jon Riddell
- The Roslin Institute and R(D)SVS, University of Edinburgh, Edinburgh EH25 9RG, UK
| | - Adam Balic
- The Roslin Institute and R(D)SVS, University of Edinburgh, Edinburgh EH25 9RG, UK
| | - Jinxi Li
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Fudan University, Shanghai 200433, PRC
| | - Václav Klika
- Department of Mathematics, FNSPE, Czech Technical University in Prague, Prague 16000, Czechia
| | | | - Eamonn A Gaffney
- Mathematical Institute, University of Oxford, Oxford OX2 6GG, UK
| | - Andrea Corsinotti
- Centre for Regenerative Medicine, Institute for Regeneration and Repair, University of Edinburgh, Edinburgh EH16 4UU, UK
| | - Richard A Anderson
- MRC Centre for Reproductive Health, Queens Medical Research Institute, University of Edinburgh, Edinburgh EH16 4TJ, UK
| | - Luke J Johnston
- Centre for Genomic & Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Sara J Brown
- Centre for Genomic & Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Sijia Wang
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai 200031, PRC
| | - Yuhang Chen
- Institute of Mechanical, Process and Energy Engineering, Heriot-Watt University, Edinburgh EH14 4AS, UK
| | - Michael L Crichton
- Institute of Mechanical, Process and Energy Engineering, Heriot-Watt University, Edinburgh EH14 4AS, UK
| | - Denis J Headon
- The Roslin Institute and R(D)SVS, University of Edinburgh, Edinburgh EH25 9RG, UK.
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