Combining blood meal analysis and parasite detection yields a more comprehensive understanding of insect host feeding patterns
Jazyk angličtina Země Anglie, Velká Británie Médium electronic
Typ dokumentu časopisecké články
Grantová podpora
598120
Grant Agency of Charles University
CA22108
WIMANET-COST Action
UNCE/24/SCI/011
Charles University Research Centre program
PubMed
40685354
PubMed Central
PMC12276692
DOI
10.1186/s13071-025-06931-8
PII: 10.1186/s13071-025-06931-8
Knihovny.cz E-zdroje
- Klíčová slova
- T. theileri, Avian trypanosomes, Biting midge, Blood meal, Haemosporidians, Host feeding patterns, Method comparison, Mosquito,
- MeSH
- Ceratopogonidae * parazitologie fyziologie MeSH
- Culicidae * parazitologie fyziologie MeSH
- Haemosporida izolace a purifikace genetika MeSH
- hmyz - vektory * parazitologie fyziologie MeSH
- interakce hostitele a parazita MeSH
- komáří přenašeči * parazitologie fyziologie MeSH
- krev * parazitologie MeSH
- polymerázová řetězová reakce MeSH
- stravovací zvyklosti * MeSH
- Trypanosoma izolace a purifikace genetika MeSH
- zvířata MeSH
- Check Tag
- ženské pohlaví MeSH
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
- Geografické názvy
- Česká republika MeSH
BACKGROUND: Traditionally, blood meal analysis has been the primary method used to assess feeding patterns of insects. In contrast, parasite detection is commonly applied to monitor parasite circulation and prevalence in vectors, but rarely to study host feeding patterns. Our study aimed to test whether broad-target screening for haemosporidian and trypanosome parasites could complement blood barcoding by revealing additional host associations. We hypothesised that combining both methods would provide a more comprehensive understanding of vector feeding behaviour than either method alone. In addition to evaluating the two methods, we also analysed the vector species composition and their abundance, providing important faunistic and prevalence data that contribute to the broader understanding of local vector-parasite dynamics. METHODS: Mosquitoes and biting midges were trapped over a 5-year period at three localities in Czechia. Blood-fed individuals underwent blood meal barcoding analysis. In parallel, parasite detection was conducted using nested polymerase chain reaction (PCR) and gut dissection techniques. RESULTS: A total of 10,152 mosquitoes were collected, with Culex pipiens (66%) and Aedes vexans (18%) being the predominant species. In addition, 1701 biting midges, primarily Culicoides pictipennis (61%) and C. festivipennis (12%), were captured. Among the collected samples, 281 mosquitoes (3%) and 52 biting midges (3%) were blood-fed. Parasites were detected in 468 mosquito pools (5%, 341 trypanosomes, 127 haemosporidians) and 21 midge pools (1%, 8 trypanosomes, 13 haemosporidians). Blood meal barcoding of engorged Aedes, Anopheles, Culiseta, and Mansonia samples revealed only mammalian hosts; however, parasite detection indicated previous feeding on birds. Culex displayed stronger ornithophily according to parasite detection, although blood meal analysis showed a more opportunistic behaviour, with the detection of avian, mammalian and even amphibian blood. Avian parasites were detected in five Culicoides species (Culicoides alazanicus, C. festivipennis, C. kibunensis, C. nubeculosus and C. pictipennis) while human blood was detected only in C. pictipennis. Overall, four Haemoproteus lineages and 15 Plasmodium lineages were identified, 11 of which were new records for Czechia and 4 were newly described. CONCLUSIONS: Integrating blood meal analysis with parasite detection provides a more comprehensive understanding of insect feeding patterns and vector-host dynamics. Blood meal analysis remains the gold standard for identifying recent host interactions, offering direct and often species-level evidence of feeding events. In addition, parasite detection extends the window of detectability beyond the digestion of host blood and can reveal additional or otherwise-overlooked host associations. Together, these complementary approaches increase the likelihood of detecting interactions with a broader range of hosts, including humans, who might be missed by parasite screening alone.
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