Back

Phytohormones regulate asexual Toxoplasma gondii

Wagner, T.; Bangoura, B.; Wiedmer, S.; Daugschies, A.; Dunay, I. R.

2023-09-05 microbiology
10.1101/2023.09.05.556389 bioRxiv
Show abstract

The protozoan Toxoplasma (T.) gondii is a zoonotic disease agent causing systemic infection in warm-blooded intermediate hosts including humans. During acute infections, the parasite infects host cells and multiplies intracellularly in the asexual tachyzoite stage. In this stage of the life cycle, invasion, multiplication, and egress are most critical events in the parasites replication. T. gondii features diverse cell organelles to support these processes, including the so-called apicoplast, an endosymbiont-derived vestigial plastid originating from an alga ancestor. Previous studies have highlighted that phytohormones can modify the calcium-mediated secretion, e.g., of adhesins involved in parasite movement and cell invasion processes. The present study aimed to elucidate the influence of different plant hormones on the replication of asexual tachyzoites in a human foreskin fibroblast (HFF) host cell culture. T. gondii replication was measured by the determination of T. gondii DNA copies via qPCR. Three selected phytohormones, namely abscisic acid (ABA), gibberellic acid (GIBB), and kinetin (KIN)as representatives of different plant hormone groups were tested. Moreover, the influence of typical cell culture media components on the phytohormone effects was assessed. Our results indicate that ABA is able to induce a significant increase of T. gondii DNA copies in typical supplemented cell culture medium when applied in concentrations of 20 ng/l or 2 ng/l, respectively. In contrast, depending on the culture medium composition, GIBB may potentially serve as T. gondii growth inhibitor and may be further investigated as a potential treatment for toxoplasmosis.

Matching journals

The top 9 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.