Hidden in the blood – can blood microbiomes flag potential disease outbreaks?

Many pathogens hide within wild animal populations, making it difficult to monitor, predict or prevent outbreaks of these infections in other animal or human populations. Recently, we learn that there may be a way to use the blood microbiome from wild animals as a flag of potential infection.

Published in Microbiology

Hidden in the blood – can blood microbiomes flag potential disease outbreaks?
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BioMed Central
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The Bacterial and pathogenic landscape of African buffalo (Syncerus caffer) whole blood and serum from Kenya - Animal Microbiome

Background African buffalo (Syncerus caffer) is a significant reservoir host for many zoonotic and parasitic infections in Africa. These include a range of viruses and pathogenic bacteria, such as tick-borne rickettsial organisms. Despite the considerations of mammalian blood as a sterile environment, blood microbiome sequencing could become crucial for agnostic biosurveillance. This study investigated the blood microbiome of clinically healthy wild buffaloes in Kenya to determine its applicability in agnostic testing for bacteria in apparently healthy wild animals. Methods Whole blood and serum samples were collected from 46 wild African buffalos from Meru National Park (30), Buffalo Springs (6) and Shaba (10) National Reserves in upper eastern Kenya. Total deoxyribonucleic acid (DNA) was extracted from these samples and subjected to amplicon-based sequencing targeting the 16 S rRNA gene. The bacteria operational taxonomic units (OTU) were identified to species levels by mapping the generated V12 and V45 regions of 16 S rRNA gene to the SILVA database. These OTU tables were used to infer the microbial abundance in each sample type and at the individual animal level. The sequences for the corresponding OTUs were also used to generate phylogenetic trees and thus infer evolution for the OTUs of interest. Results Here, we demonstrate that buffaloes harbor many bacteria in their blood. We also report a diversity of 16 S rRNA gene sequences for Anaplasma and Mycoplasma from individual animals. By sequencing both whole blood and serum in triplicate for each animal, we provide evidence of the differences in detecting bacteria in both sample types. Conclusions Diverse bacteria, including some potential pathogens, can be found in the blood of clinically healthy wild African buffalo. Agnostic surveillance for such pathogens can be achieved through blood microbiome sequencing. However, considerations for the question being asked for the blood microbiome in wildlife will impact the choice for using whole blood or serum for sequencing.

African buffalo are reservoirs for a variety of diseases such as bovine tuberculosis, brucellosis, Rift Valley fever, tick-borne diseases and foot and mouth disease. Richard Nyamota and his colleagues studied the blood microbiome of clinically healthy buffalo to map out their ‘bacterial and pathogenic landscape’.

They collected whole blood and serum samples from 46 wild African buffaloes in Kenya, and sequenced the total DNA extracted from the samples to identify the bacteria present. They found a diverse community of bacterial species in both whole blood and serum samples, but Rickettsiales and Mycoplasmatales were the most abundant - Rickettsiales being more predominant in whole blood samples, whilst  Mycoplasmatales were predominant in serum samples. Rickettsiales are an order of bacteria that are obligate intracellular parasites found in arthropods and mammals and are of One Health significance.  

In their study, Richard Nyamota and colleagues found Anaplasma to be the most abundant of the Rickettsiales – the genus of bacteria causes anaplasmosis in humans and mammals (transmitted by tick bites) and can cause organ failure and death in vulnerable people. Mycoplasma was the most abundant of the Mycoplasmatales, and these cause pneumonia in humans.

...So, how does sequencing the bacteriome of wild African buffalo blood help with disease surveillance?

My opinion is that this study is the first step in building a picture of the landscape of potential zoonotic pathogens in a region. What I think is needed now is similar profiling of the microbiome of disease vectors, natural flora, soil and other wildlife in an area/ region to develop  complete picture. Eventually, by putting together a complete ‘background’ or‘business as usual’ picture of the microbiome profile of a region. Any deviation from this would quickly flag when there could be an outbreak or emerging pathogen of concern.

It is a big task, of course, and not an easy one…and sounds like something that you may only find in science fiction films/ books at the moment. But it could be possible with the development of new technologies, and collaboration between One Health experts and microbiome researchers.

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