Affiliation:
1. Harry Butler Institute, Murdoch University, Murdoch, Western Australia, 6150, Australia
2. School of Life and Environmental Sciences, The University of Sydney, Camperdown, New South Wales, 2006, Australia
3. School of Veterinary Medicine, Murdoch University, Murdoch, Western Australia, 6150, Australia
4. Elanco Animal Health, Macquarie Park, New South Wales, 2113, Australia
Abstract
Advances in sequencing technologies have revealed the complex and diverse microbial communities present in ticks (Ixodida). As obligate blood-feeding arthropods, ticks are responsible for a number of infectious diseases that can affect humans, livestock, domestic animals and wildlife. While cases of human tick-borne diseases continue to increase in the northern hemisphere, there has been relatively little recognition of zoonotic tick-borne pathogens in Australia. Over the past 5 years, studies using high-throughput sequencing technologies have shown that Australian ticks harbour unique and diverse bacterial communities. In the present study, free-ranging wildlife (n=203), representing ten mammal species, were sampled from urban and peri-urban areas in New South Wales (NSW), Queensland (QLD) and Western Australia (WA). Bacterial metabarcoding targeting the 16S rRNA locus was used to characterize the microbiomes of three sample types collected from wildlife: blood, ticks and tissue samples. Further sequence information was obtained for selected taxa of interest. Six tick species were identified from wildlife: Amblyomma triguttatum, Ixodes antechini, Ixodes australiensis, Ixodes holocyclus, Ixodes tasmani and Ixodes trichosuri. Bacterial 16S rRNA metabarcoding was performed on 536 samples and 65 controls, generating over 100 million sequences. Alpha diversity was significantly different between the three sample types, with tissue samples displaying the highest alpha diversity (P<0.001).
Proteobacteria
was the most abundant taxon identified across all sample types (37.3 %). Beta diversity analysis and ordination revealed little overlap between the three sample types (P<0.001). Taxa of interest included
Anaplasmataceae
,
Bartonella
,
Borrelia
,
Coxiellaceae
,
Francisella
,
Midichloria
,
Mycoplasma
and
Rickettsia
.
Anaplasmataceae
bacteria were detected in 17.7% (95/536) of samples and included
Anaplasma
,
Ehrlichia
and
Neoehrlichia
species. In samples from NSW, ‘Ca. Neoehrlichia australis’, ‘Ca. Neoehrlichia arcana’,
Neoehrlichia
sp. and
Ehrlichia
sp. were identified. A putative novel
Ehrlichia
sp. was identified from WA and
Anaplasma platys
was identified from QLD. Nine rodent tissue samples were positive for a novel
Borrelia
sp. that formed a phylogenetically distinct clade separate from the Lyme
Borrelia
and relapsing fever groups. This novel clade included recently identified rodent-associated
Borrelia
genotypes, which were described from Spain and North America.
Bartonella
was identified in 12.9% (69/536) of samples. Over half of these positive samples were obtained from black rats (Rattus rattus), and the dominant bacterial species identified were
Bartonella coopersplainsensis
and
Bartonella queenslandensis
. The results from the present study show the value of using unbiased high-throughput sequencing applied to samples collected from wildlife. In addition to understanding the sylvatic cycle of known vector-associated pathogens, surveillance work is important to ensure preparedness for potential zoonotic spillover events.
Funder
Australian Research Council
Ecological Society of Australia
Royal Zoological Society
Cited by
9 articles.
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