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

IF 5 2区 生物学 Q1 MICROBIOLOGY
mSystems Pub Date : 2025-03-21 DOI:10.1128/msystems.00140-25
Patrice Baa-Puyoulet, Léo Gerlin, Nicolas Parisot, Sergio Peignier, François Renoz, Federica Calevro, Hubert Charles
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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 that the metabolic pathways of the insect host and its two obligate bacterial associates are interdependent and specialized in the exploitation of Poaceae phloem, particularly 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.IMPORTANCEThe evolution 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.

大多数节肢动物都与细菌密切相关。相关伙伴的基因组共同进化,形成了相互依存的局面,尽管可以获得它们的完整序列,但破译起来却很复杂。我们开发了 ArtSymbioCyc,这是一个以代谢为导向的数据库,收集节肢动物及其相关细菌的基因组资源。ArtSymbioCyc 利用 BioCyc 社区的强大工具生成高质量的注释,并在全基因组范围内分析和比较代谢网络。我们利用 ArtSymbioCyc 研究了谷类蚜虫 Sipha maydis 的三方共生情况,重点是氨基酸和维生素代谢,因为众所周知这些化合物对这种严格的食植性昆虫非常重要。我们的研究表明,昆虫宿主及其两个必生细菌伙伴的代谢途径相互依存,并专门利用禾本科植物的韧皮部,特别是含硫氨基酸和大多数维生素的生物合成。这表明,ArtSymbioCyc 不仅能揭示每个伙伴的个体代谢能力及其各自对所构成的整体生物体的贡献,还能预测必须来自宿主营养的基本输入。重要意义进化推动了复杂的节肢动物-微生物共生系统的出现,而这些系统的代谢整合却很难解开。ArtSymbioCyc (https://artsymbiocyc.cycadsys.org) 具有友好的用户界面,可以精确推断相关伙伴之间的化合物交换,从而简化和加快代谢网络分析,并有助于揭示节肢动物在保护或农业控制等方面的适应潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
mSystems
mSystems Biochemistry, Genetics and Molecular Biology-Biochemistry
CiteScore
10.50
自引率
3.10%
发文量
308
审稿时长
13 weeks
期刊介绍: mSystems™ will publish preeminent work that stems from applying technologies for high-throughput analyses to achieve insights into the metabolic and regulatory systems at the scale of both the single cell and microbial communities. The scope of mSystems™ encompasses all important biological and biochemical findings drawn from analyses of large data sets, as well as new computational approaches for deriving these insights. mSystems™ will welcome submissions from researchers who focus on the microbiome, genomics, metagenomics, transcriptomics, metabolomics, proteomics, glycomics, bioinformatics, and computational microbiology. mSystems™ will provide streamlined decisions, while carrying on ASM''s tradition of rigorous peer review.
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