Back

Bartonella and hemotropic Mycoplasma species in synanthropic bats in Kenya

DeAnglis, I. K.; Lunn, T. J.; Jackson, R. T.; Cummings, C. A.; Gates, E. C.; Griffey, B.; Mwakachola, B.; Mwasi, P.; Ogola, J. G.; Webala, P. W.; Sironen, T.; Becker, D. J.; Forbes, K. M.

2026-05-30 ecology
10.64898/2026.05.28.728508 bioRxiv
Show abstract

Identifying and characterizing zoonotic pathogens in wildlife is essential for understanding disease risk to humans. In Sub-Saharan Africa, many people live with bats in their houses and are exposed to their pathogens, yet little is known about the bacterial pathogens in Afrotropical bat species. Globally, Bartonella spp. (bartonellae) and hemotropic Mycoplasma spp. (hemoplasmas) are common bacterial pathogens in bats, and some lineages are known to spill over and cause infections in humans. To evaluate this disease risk, we screened three common synanthropic bat species in Kenya, and their ectoparasites, for hemoplasmas and bartonellae and assessed their relatedness to known human pathogens. Of 767 bats across 21 sites, 17.9% of bats were Bartonella spp. positive and 19.3% were hemoplasma positive. Bat ectoparasites had similar Bartonella prevalence (13.5-25.0%) and, for most bat species, ectoparasite loads were not associated with increased likelihood of Bartonella infection. We found that Bartonella lineages displayed phylogenetic overlap between different bat species and ectoparasites, suggesting pathogen sharing between species, while hemoplasma lineages corresponded strictly to host taxonomy. Finally, we found that 16S rRNA sequences from one heart-nosed bat (Cardioderma cor) were 97.85% similar to a human-associated hemoplasma found previously in Schreibers bats (Miniopterus schreibersii) in Spain. We show that synanthropic bats host bacteria of potential public health concern, highlighting the need to investigate the emerging impacts of these pathogens on human health in Kenya and elsewhere in Sub-Saharan Africa.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

1
PLOS Neglected Tropical Diseases
378 papers in training set
Top 0.3%
28.9%
2
The American Journal of Tropical Medicine and Hygiene
60 papers in training set
Top 0.2%
10.5%
3
One Health
29 papers in training set
Top 0.1%
7.1%
4
Scientific Reports
3102 papers in training set
Top 15%
6.6%
50% of probability mass above
5
PLOS ONE
4510 papers in training set
Top 29%
5.1%
6
The Lancet Microbe
43 papers in training set
Top 0.2%
3.7%
7
Preventive Veterinary Medicine
14 papers in training set
Top 0.1%
2.2%
8
Nature Communications
4913 papers in training set
Top 50%
1.8%
9
Transactions of The Royal Society of Tropical Medicine and Hygiene
16 papers in training set
Top 0.2%
1.8%
10
eLife
5422 papers in training set
Top 41%
1.7%
11
BMC Infectious Diseases
118 papers in training set
Top 3%
1.4%
12
Frontiers in Veterinary Science
30 papers in training set
Top 0.5%
1.3%
13
Archives of Virology
14 papers in training set
Top 0.3%
1.3%
14
Parasites & Vectors
57 papers in training set
Top 0.9%
1.3%
15
Viruses
318 papers in training set
Top 4%
1.0%
16
Transboundary and Emerging Diseases
34 papers in training set
Top 0.6%
0.9%
17
PLOS Pathogens
721 papers in training set
Top 7%
0.9%
18
International Journal for Parasitology
21 papers in training set
Top 0.3%
0.9%
19
Emerging Microbes & Infections
74 papers in training set
Top 2%
0.8%
20
mSphere
281 papers in training set
Top 6%
0.8%
21
PeerJ
261 papers in training set
Top 14%
0.8%
22
Ticks and Tick-borne Diseases
11 papers in training set
Top 0.3%
0.8%
23
Epidemiology and Infection
84 papers in training set
Top 3%
0.8%
24
Tropical Medicine and Infectious Disease
12 papers in training set
Top 0.5%
0.8%
25
Communications Biology
886 papers in training set
Top 28%
0.7%
26
mBio
750 papers in training set
Top 12%
0.7%
27
Proceedings of the Royal Society B: Biological Sciences
341 papers in training set
Top 8%
0.5%
28
PLOS Biology
408 papers in training set
Top 24%
0.5%
29
Ecology and Evolution
232 papers in training set
Top 5%
0.5%
30
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 49%
0.5%