ArticleVeterinary research communications2026
Feeding-state is associated with shifts in the Haemaphysalis bispinosa microbiome and its potential as a sentinel for circulating livestock pathogens.
Article in Veterinary research communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ticks harbour microbial communities that shape their capacity to acquire and transmit host-associated bacteria. Haemaphysalis (H.) bispinosa is a tick that widely infests variety of hosts across Asia, yet how its bacterial communities are reconfigured across the transition from free-living to blood-feeding states in the field remains poorly understood. Herein, we characterise the microbiome of H. bispinosa using full-length 16 S rRNA gene sequencing. A total of 225 ticks were collected from cattle and the surrounding environment in Central Java, Indonesia. The analysis revealed a diverse array of bacterial taxa spanning 21 phyla and 443 genera. A Coxiella lineage was dominant (46.94%), was present in all samples, and constituted the sole universal core taxon. Environmental ticks exhibited near-monocultural profiles (95-99% Coxiella), whereas host-associated ticks showed increased diversity and the incorporation of additional taxa, including Staphylococcus, Mammaliicoccus, Corynebacterium, and Romboutsia. Within-sample diversity was governed by evenness rather than richness: richness (Chao1) did not differ among states (Kruskal-Wallis, p = 0.543). In contrast, the Shannon index increased significantly from environmental ticks (H = 0.23 ± 0.10) to host-associated ticks (HB, 1.62 ± 0.93; HC, 0.95 ± 0.51; p = 0.0155), a pattern mirrored by Pielou's evenness (p = 0.0155; η² = 0.60), with environmental ticks differing significantly from both host-associated states. Beta-diversity analysis confirmed significant community separation across feeding states (PERMANOVA: Bray-Curtis p = 0.0071, R² = 0.38; Aitchison p = 5 × 10⁻⁴, R² = 0.25; Jaccard p = 0.039, R² = 0.16). The environmental-to-host-attached transition represented the largest compositional shift, and engorged ticks exhibited partial convergence toward a structured microbiome characterised by co-dominance of Coxiella and Mammaliicoccus. These findings indicate that feeding state is a major factor associated with microbiome variation in H. bispinosa. The detection of Anaplasma-associated ASVs suggests that H. bispinosa has potential utility for monitoring circulating livestock-associated bacteria. Future work integrating functional approaches will be essential to resolve the pathogenic status of the dominant Coxiella lineage and clarify microbiome-mediated effects on pathogen transmission.
Indexed as
Identifiers
42573661What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.