A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
Droplet digital PCR as a tool for investigating dynamics of cryptic symbionts (2021)


Hiillos, A., Thonig, A., & Knott, K. E. (2021). Droplet digital PCR as a tool for investigating dynamics of cryptic symbionts. Ecology and Evolution, 11(23), 17381-17396. https://doi.org/10.1002/ece3.8372


JYU-tekijät tai -toimittajat


Julkaisun tiedot

Julkaisun kaikki tekijät tai toimittajatHiillos, Anna‐Lotta; Thonig, Anne; Knott, Karelyn Emily

Lehti tai sarjaEcology and Evolution

eISSN2045-7758

Julkaisuvuosi2021

Ilmestymispäivä22.11.2021

Volyymi11

Lehden numero23

Artikkelin sivunumerot17381-17396

KustantajaWiley

JulkaisumaaBritannia

Julkaisun kielienglanti

DOIhttps://doi.org/10.1002/ece3.8372

Linkki tutkimusaineistoonhttps://datadryad.org/stash/dataset/doi:10.5061/dryad.jwstqjq90

Julkaisun avoin saatavuusAvoimesti saatavilla

Julkaisukanavan avoin saatavuusKokonaan avoin julkaisukanava

Julkaisu on rinnakkaistallennettu (JYX)https://jyx.jyu.fi/handle/123456789/78778


Tiivistelmä

Interactions among symbiotic organisms and their hosts are major drivers of ecological and evolutionary processes. Monitoring the infection patterns among natural populations and identifying factors affecting these interactions are critical for understanding symbiont–host relationships. However, many of these interactions remain understudied since the knowledge about the symbiont species is lacking, which hinders the development of appropriate tools. In this study, we developed a digital droplet PCR (ddPCR) assay based on apicomplexan COX1 gene to detect an undescribed agamococcidian symbiont. We show that the method gives precise and reproducible results and enables detecting cryptic symbionts in low target concentration. We further exemplify the assay's use to survey seasonally sampled natural host (Pygospio elegans) populations for symbiont infection dynamics. We found that symbiont prevalence differs spatially but does not show seasonal changes. Infection load differed between populations and was low in spring and significantly increased towards fall in all populations. We also found that the symbiont prevalence is affected by host length and population density. Larger hosts were more likely to be infected, and high host densities were found to have a lower probability of infection. The observed variations could be due to characteristics of both symbiont and host biology, especially the seasonal variation in encounter rates. Our findings show that the developed ddPCR assay is a robust tool for detecting undescribed symbionts that are otherwise difficult to quantify, enabling further insight into the impact cryptic symbionts have on their hosts.


YSO-asiasanatinfektiotpopulaatiotisäntälajitisäntäeläimetloisetsymbioosiekosysteemit (ekologia)evoluutiobiologia

Vapaat asiasanatapicomplexa; cryptic symbiosis; droplet digital PCR; infection dynamics


Liittyvät organisaatiot


Hankkeet, joissa julkaisu on tehty


OKM-raportointiKyllä

VIRTA-lähetysvuosi2021

JUFO-taso1


Viimeisin päivitys 2024-12-10 klo 11:16