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Roberts, J. M. K.

Publications and source records attributed to Roberts, J. M. K..

3 recordsLinked to original sources

The first steps toward a global pandemic: Reconstructing the demographic history of parasite host switches in its native range

BackgroundHost switching allows parasites to expand their niches. However, successful switching may require suites of adaptations and also may decrease performance on the old host. As a result, reductions in gene flow accompany many host switches, driving speciation. Because host switches tend to be rapid, it is difficult to study them in real-time and their demographic parameters remain poorly understood. As a result, fundamental factors that control subsequent parasite evolution, such as the size of the switching population or the extent of immigration from the original host, remain largely unknown. To shed light on the host switching process, we explored how host switches occur in independent host shifts by two ectoparasitic honey bee mites (Varroa destructor and V. jacobsoni). ResultsBoth switched to the western honey bee (Apis mellifera) after it was brought into contact with their ancestral host (Apis cerana), [~]70 and [~]12 years ago, respectively. Varroa destructor subsequently caused worldwide collapses of honey bee populations. Using whole-genome sequencing on 63 mites collected in their native ranges from both the ancestral and novel hosts, we were able to reconstruct the known temporal dynamics of the switch. We further found multiple previously undiscovered mitochondrial lineages on the novel host, along with the genetic equivalent of tens of individuals that were involved in the initial host switch. Despite being greatly reduced, some gene flow remains between mites adapted to different hosts. ConclusionOur findings suggest that while reproductive isolation may facilitate the fixation of traits beneficial for exploitation of the new host, ongoing genetic exchange may allow genetic amelioration of inbreeding effects.

genomics↗

Carrion flies as sentinels for monitoring rabbit calicivirus activity in Australia

Rabbit caliciviruses are an essential tool for managing wild rabbit populations in Australia. Our understanding of rabbit calicivirus epidemiology in Australia currently depends on members of the public submitting liver samples from dead rabbits through a monitoring program called Rabbitscan. However, many wild rabbits die in inaccessible locations or are scavenged before sampling can occur, leading to considerable sampling bias. In this study we screened field-caught carrion flies for the presence of rabbit caliciviruses to monitor virus circulation patterns in the landscape, with an aim to establish a less biased epidemiological surveillance tool. Carrion flies were collected from two study sites over a 22 month period and these samples were used to optimise and validate molecular testing methods in this sample type for the currently circulating rabbit calicivirus variants. Virus was clearly detectable in field-caught carrion flies using optimised SYBR-green RT-qPCR and RT-PCR assays. However, variant identification was frequently hindered by the low virus loads present in carrion fly samples and spurious RT-PCR amplification. This was overcome by frequent sampling, which effectively acts as replicate sampling to verify inconclusive results. There was good correlation between virus detections in carrion flies and in samples recovered from wild rabbits, both temporally and for virus variant identification. The methods reported here provide a robust and efficient additional surveillance tool to monitor rabbit calicivirus activity at a landscape scale, which in turn can help to guide more effective rabbit management programs.

microbiology↗

Genomic analyses of sibling honey bee ectoparasitic mite species show divergent strategies of adaptation

Multispecies host-parasite evolution is common, but how parasites evolve after speciating remains poorly understood. Shared evolutionary history and physiology may propel species along similar evolutionary trajectories whereas pursuing different strategies can reduce competition. We test these scenarios in the economically important association between honey bees and ectoparasitic mites by sequencing the genomes of the sister mite species Varroa destructor and Varroa jacobsoni. These genomes were closely related, with 99.7% sequence identity. Among the 9,628 orthologous genes, 4.8% showed signs of positive selection in at least one species. Divergent selective trajectories were discovered in conserved chemosensory gene families (IGR, SNMP), and Halloween genes (CYP) involved in moulting and reproduction. However, there was little overlap in these gene sets and associated GO terms, indicating different selective regimes operating on each of the parasites. Based on our findings, we suggest that species-specific strategies may be needed to combat evolving parasite communities.

genomics↗