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bioRxiv · 10.1101/2025.01.27.635068

ArtSymbioCyc, a metabolic network database collection dedicated to arthropod symbioses: a case study, the tripartite cooperation in Sipha maydis

Baa-Puyoulet, P.·Gerlin, L.·Parisot, N.·Peignier, S.·Renoz, F.·Calevro, F.·CHARLES, H.
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Abstract

Most arthropods live in close association with bacteria. The genomes of associated partners have co-evolved creating situations of interdependence that are complex to decipher despite the availability of their complete sequences. We developed ArtSymbioCyc, a metabolism-oriented database collection gathering genomic resources for arthropods and their associated bacteria. ArtSymbioCyc uses the powerful tools of the BioCyc community to produce high quality annotations and to analyze and compare metabolic networks on a genome-wide scale. We used ArtSymbioCyc to study the case of the tripartite symbiosis of the cereal aphid Sipha maydis focusing on amino acid and vitamin metabolisms, as these compounds are known to be important in this strictly phloemophagous insect. We showed how the metabolic pathways of the insect host and its two obligate bacterial associates are interdependent and specialized in the exploitation of Poaceae phloem, for example for the biosynthesis of sulfur-containing amino acids and most vitamins. This demonstrates that ArtSymbioCyc does not only reveal the individual metabolic capacities of each partner and their respective contributions to the holobiont they constitute, but also allows to predict the essential inputs that must come from host nutrition. IMPORTANCEEvolution has driven the emergence of complex arthropod-microbe symbiotic systems, whose metabolic integration is difficult to unravel. With its user-friendly interface, ArtSymbioCyc (https://artsymbiocyc.cycadsys.org) eases and speeds up the analysis of metabolic networks by enabling precise inference of compound exchanges between associated partners, and helps unveil the adaptive potential of arthropods in contexts such as conservation or agricultural control.

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Baa-Puyoulet, P., Gerlin, L., Parisot, N., Peignier, S., Renoz, F., Calevro, F., CHARLES, H.. 2025-01-28. ArtSymbioCyc, a metabolic network database collection dedicated to arthropod symbioses: a case study, the tripartite cooperation in Sipha maydis. https://doi.org/10.1101/2025.01.27.635068

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