Molecular Epidemiology of Enteric infections in Eastern Africa

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Molecular Epidemiology of Enteric infections in Eastern Africa [Wondwossen A. Gebreyes] Feed the Future Innovation Lab for Livestock Systems, University of Florida Photo credits: Ohio State University

BILL & MELINDA GATES FOUNDATION AWARD Equip project: Strengthening smallholder livestock systems for the future Subprojects: FEED: Improving supply of quality feed for dairy cows in Ethiopia and small ruminants in Burkina Faso CAGED: Campylobacter genomics and environmental enteric dysfunction Project duration: 5 years (2017-2022) Target countries: Burkina Faso & Ethiopia

RATIONALE Part of the Global One Health initiative (GOHi) Food- Water- and Vector-borne pathogens remain major concerns in the region Invasive and multi-drug resistant strains are major concerns The capacity/ skilled-manpower to address these issues is critically lacking Partnership with academic and research institutes: Ethiopia- Addis Ababa Univ./ Gondar/ Haramaya (also EPHI/ NAHDIC) Kenya- University of Nairobi and Kenya Medical Research Institute Tanzania- Sokoine Univ. Agriculture (SUA) Others- ILRI/ ICIPE

NIH-D43: MOLECULAR EPIDEMIOLOGY OF PATHOGENS- OHEART (2010-22) A1 B1 J. Gunn (OSU) D. Asrat (AAU) FOODBORNE Salmonella, btb, Campylobacter/ Brucella S. Kariuki (KEMRI) K. Stevenson (OSU) Antimicrobial Resistance MDR/ Biocide/ Heavy metal A2 M. Bisesi (OSU) W. Ogara (UoN) One Health/ C1Meta-leadership B2 C. Mbae (KEMRI) J. Lee (OSU) WATERBORNE Enteric viruses V. cholerae C. parvum Scientific Communication/ Grant Mgmt./ Ethics Implementation B. Tessema (UoG) SH. Wang (OSU) Rapid Detection Diagnostics Point-of-care/ Fielddeployeable E. Diro (UoG) A. Satoskar (OSU) VECTORBORNE Leishmania, Rift Valley Fever Emerg. viruses A. Djikeng (BecA)/ P. Boyaka (OSU) Genomics/ Bioinformatics Metagenomics/ Biomarkers/ WGS A3 B3 Training grant- always looking for research project partners!!! Figure 3. Priority topics and thematic area co-leaders.

Molec, epid, of Viruses and parasites Detection & genetic characterization of porcine rotaviruses in pigs in smallholder farms in East Africa (Joshua Amimo- Univ. Nairobi) Enteric caliciviruses in pigs and cattle (Zufan Sisay- AAU, Ethiopia) Genotyping of Rotaviruses (Khadija Said, SUA, Tanzania) Clinical and Molecular Epidemiology of Leishmania aethiopica (Nigatu Wubie, AAU, Ethiopia) Figure 1 a. Markers 1,4,6 b. Marker 22c. Marker 27

Molecular Epid. of MDR Salmonella in Ethiopia Drug % resistant Streptomycin 77 Tetracycline 65.5 Sulfisoxazole 52.9 Neomycin 41.38 Nalidixic acid 41.38 Cephalothin 33.3 Ampicillin 31 Nitrofurantoin 28.75 SXT 24.1 Amoxi+clauvlonic acid 20.7 Ciprofloxacin 14.9 Gentamicin 14.94 Chloramphenicol 5.75 Class 1 Integrons T. Eguale AAU, Ethiopia

Molecular Epidemiology of MDR Salmonella: Tanzania GOAL: Understand epidemiology and transmission dynamics in pastoral and agro-pastoral zones; decipher the role of ecosystem such as heavy metal and association with MDR; WGS- understand the various genetic components for HM tolerance, AMR and virulence in parallel NIH Fogarty Int l Center (D43)- (2011-22)/ GID Research Training capacity building; Co-funding- WHO-AGISAR/ USAID/ FDA-CFSAN/ PAHO/ etc- consider in Brazil

Heavy metal micronutrients in swine feed and association with MDR Salmonella Association determined between OR P-value Zn tolerance, R-types and MDR (AmClStSuTe v. AmStTeKm) 14.66 <0.0001 Zn tolerance & czcd gene carriage (low v. high MIC) 5.92 <0.0001 P inti1 qaceδ1 sul1

GENOMETRKR PARTNERSHIP 1000+ MDR Salmonella WGS partnership Brazil (104) Ethiopia (401) Kenya (86) Mexico (63) Tanzania (64) Thailand (60) U.S. OSU (247)

MOLEC. EPID OF CAMPYLOBACTER IN TANZANIA Source No. of Sample Morphological Positive samples No. % C. jejuni C. coli No. (%) of PCR analyzed positive for: C. jejuni / C. coli OTC* Milk 284 38 13.4 21 (55.3) 12 (31.6) 0 5 (1.8) Carcass swabs 253 24 9.5 15 (62.5) 7 (29.2) 1 (4.2) 1 (4.2) Total 537 62 11.6 36 (58.1) 19 (30.7) 1 (1.6) 6 (9.7)

Percentage resistance ANTIMICROBIAL RESISTANCE 80 60 40 58% 51% C. jejuni C. coli 47% 49% 43% 37% 66% 63% 34% 32% 20 0 21% 17% 11% 9% 9% 5% 0 0 CIP ERY TET AMP AZM GEN CHL NAL STR Antimicrobials

bp M 1 2 3 4 5 6 Resistance genes detected Sources of isolates Milk [No. (%)] Meat [No. (%)] tet (O) 7 (21.2) 2 (9.5) aph -3-1 - 1 (4.8) 2,000 1,000 600 500 400 300 200 100 bla OXA-61 3 (9.1) 3 (14.3) cmeb 4 (12.1) 1 (4.8) cmeb / bla OXA-61 2 (6.1) 5 (23.8) tet (O) / bla OXA-61 1 (3) 1 (4.8) cmeb / tet (O) 1 (3) - tet(o)/cmeb / bla OXA-61 1 (3) 1 (4.8)

MULTI-LOCUS SEQUENCE TYPING (MLST) ST 7700 ST 1240 Dairy Cattle - AR ST 7033 ST 2139 ST 7690 ST 4083 ST 2702 ST 899 ST 1837 ST 1987 Beef - MR Cattle - MR ST 4085 Beef cattle - IR ST 1635 ST 7698 ST 1201 ST 4609 Cattle - AR

OHIO STATE- GLOBAL ONE HEALTH Global One Health initiative (GOHi) The global dynamics makes One Health a critical need. The Global Risk; Water Crises; Failure of climate change adaptation; Global travel; Man-made environmental catastrophes; Biodiversity loss and ecosystem collapse; Large-scale migration... Consequences- Much complex and wider in spectrum incl. cancer and other NCDs. GRF, 2015 3

Global One Health initiative (GOHi) Mission To expand capacity Globally (local, national, regional and international) for a One Health approach via education, training, implementation science and outreach to efficiently and effectively address diseases at the interface of humans, animals, plants and the environment. Vision Capable institutional systems and professionals for a healthy and enduring community. 5

GLOBAL ONE HEALTH KNOWLEDGE-SHARING

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