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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Ziang Liu

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Open access Aug 2026

Bioaugmentation‐Driven Bioremediation: Microbial Community Dynamics and Hydrocarbon Degradation Efficiency in Marine Sediments

Bioaugmentation is effective for remediating petroleum‐contaminated seawater, but its application in marine sediments remains underexplored. This study investigated the enhancing effects and mechanisms of bioaugmentation on total petroleum hydrocarbons (TPHs) degradation in marine sediments over 60 days. The bioaugmentation (B) group achieved a TPH degradation rate 1.89 times higher than the natural restoration (N) group. GC‐MS analysis revealed significantly lower residual C 13 –C 22 hydrocarbon concentrations in Group B. Excitation–emission matrix spectroscopy showed elevated soluble microbial by‐products and tyrosine‐like substances in Group B, whereas tryptophan‐like substances accumulated in Group N. Despite an initial decline following inoculation, microbial diversity indices (Chao1 and Shannon) in Group B increased progressively over time, eventually exceeding those of Group N by Day 60, indicating dynamic community restructuring. Bacillus dominated the initial stage of bioaugmentation, while Sporolactobacillus became dominant after 60 days, both of which were reported as potential petroleum degraders. Metagenomic analysis indicated that key genes involved in petroleum hydrocarbon degradation were substantially enriched in Group B throughout the remediation period, reflecting enhanced genetic potential. Molecular docking simulations suggested that alkylsuccinate synthase (assA) enzymes in petroleum‐degrading bacteria might facilitate hydrocarbon binding through hydrogen bonds and hydrophobic interactions, which could potentially contribute to enhanced degradation. These in silico findings provided predictive structural insights into potential degradation mechanisms and required experimental validation. This study contributed to elucidating the degradation efficacy and potential mechanistic enhancements of bioaugmentation, highlighting its viability for the bioremediation of TPHs‐contaminated marine sediments.

Xiaoyu Zhou, Yanhui Shi, Hanzhi Cao et al. · 0 citations
Open access Aug 2026

Dissecting seed oil content QTL and integrating their genetic effects for genomic prediction in Brassica napus

Seed oil content (SOC) is a key determinant of oil yield in rapeseed, but translating high-resolution QTL and functional gene information into effective breeding selection remains challenging. Here, we integrated high-quality genome assembly, QTL fine mapping, gene function validation, and QTL-informed genomic prediction to improve the SOC in rapeseed. The improved, chromosome-scale genome of the semi-winter cultivar NY7 served as a reliable reference for fine mapping via its bidirectional introgression populations. Seven major QTLs were rapidly fine-mapped into 117 kb ~ 358 kb intervals; each increased the SOC by 2% ~ 6%. Integrated transcriptomic and haplotype analyses revealed eight candidate genes, highlighting BnaDIR1.C2 as the hub gene underlying qOC.C2–1. Functional validation confirmed the positive regulation of BnaDIR1.C2 in SOC. Moreover, genomic prediction models incorporating QTL-weighted markers substantially improved the prediction performance by an average of 20.34% across different populations. This study bridges the gap between high-resolution genetic dissection and predictive breeding, providing a practical framework to accelerate oil yield improvement in rapeseed.

Hao Wang, Zunxu Zhang, Meng Wang et al. · 0 citations