2026-10-12T17:25:47Z https://api.figshare.com/v2/oai

oai:figshare.com:article/34034001 2026-09-30T16:25:49Z category_1 category_7 category_14 category_24 category_272 category_39 category_734 category_64 category_132 category_135 portal_63 item_type_3 month_year_09_2026

Public Goods Supply Structure Shapes Microbial Network Organization during Full-Scale Anammox Reactor Start-Up Danyang Zhu (1841860) Hui Gong (203677) Shuyan Zhou (7834913) Jing Yang (13969) Li Xie (108913) Mohammad Azari (5932634) Min Zheng (131026) Xiaohu Dai (602218) Biophysics Medicine Molecular Biology Evolutionary Biology Environmental Sciences not elsewhere classified Ecology Biological Sciences not elsewhere classified Cancer Infectious Diseases Computational Biology strongest reorganization occurring specific trajectories emerged showed apparent dependence nicotinamide adenine dinucleotide key public goods engineered anammox systems cost amino acids total transcriptional contribution scale anammox reactor infer supply structure dynamically fluctuating supply across 42 high 74 – 0 metabolic cost transcriptional contributions reactor establishment top 20 temporal evolution supplier turnover stress defense side organization resolved metagenomics quality metagenome progressively concentrated potentially benefiting populations accounting persistently concentrated oxidizing bacteria microbial populations mags ), integrated genome functions produced findings reveal driven mainly associated microorganisms assembled genomes anaerobic ammonium Key public goods (KPGs) are metabolites or functions produced at a metabolic cost by microbial populations but potentially benefiting the community. In engineered anammox systems, such functions may underpin interdependencies between anaerobic ammonium-oxidizing bacteria (AnAOB) and associated microorganisms, yet their supply-side organization and temporal dynamics remain poorly understood. We integrated genome-resolved metagenomics and metatranscriptomics to quantify relative transcriptional contributions to 33 KPG biosynthesis pathways during start-up of a full-scale anammox reactor. Across 42 high-quality metagenome-assembled genomes (MAGs), these transcriptional contributions were used to infer supply structure and temporal evolution. Inferred KPG supply structures were highly uneven across stages (Gini = 0.74–0.98), with the top 20% of populations accounting for up to 98.7% of total transcriptional contribution. Three resource-specific trajectories emerged: progressively concentrated, persistently concentrated, and dynamically fluctuating supply. AnAOB dominated contributions associated with low-cost amino acids, acetate, nicotinamide adenine dinucleotide, coenzyme A, oxidative-stress defense, and extracellular polymeric substance export potential, but showed apparent dependence on non-AnAOB populations for vitamins, cofactors, and high-cost amino acids. Restructuring was driven mainly by redistribution among retained populations rather than supplier turnover, with the strongest reorganization occurring during early start-up. These findings reveal a structured, resource-dependent, and dynamically reorganized KPG landscape during reactor establishment. 2026-09-30T00:00:00Z Dataset Dataset 10.1021/acs.est.6c06282.s004 https://figshare.com/articles/dataset/Public_Goods_Supply_Structure_Shapes_Microbial_Network_Organization_during_Full-Scale_Anammox_Reactor_Start-Up/34034001 CC BY-NC 4.0