分子環境の組成が微生物の基質利用と成長表現型を左右することを解明(The Molecular Environment Composition Shapes Substrate Utilization Dynamics Influencing Microbial Growth Phenotype)

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2026-08-25 パシフィック・ノースウェスト国立研究所(PNNL)

米国パシフィック・ノースウェスト国立研究所(PNNL)の研究チームは、土壌細菌の成長や代謝が、単純な栄養量だけでなく、周囲に存在する分子の組み合わせによって大きく変化することを明らかにした。植物や菌類が土壌中に放出する化合物を参考にした培地を作り、土壌細菌 Pseudomonas putida の反応を調べたところ、個々の基質では再現できない独特の成長特性が、複数化合物の混合環境で現れた。同じ炭素・窒素量でも、混合培地では成長開始が単一基質の場合の少なくとも2倍速く、最大バイオマスへの到達も早かった。時間分解測定では、細菌がまずリンゴ酸を優先的に利用し、その後複数の栄養源を組み合わせて利用することが判明。実験結果にゲノム規模代謝モデルとプロテオミクスを組み合わせ、基質利用と代謝経路を予測する枠組みも構築した。生態学的に現実的な分子環境の理解は、微生物工学や環境技術の高度化につながる。

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真菌の滲出液に着想を得た基質混合物は、 Pseudomonas putidaにおいて新たな増殖表現型と代謝応答を引き起こす A fungal exudate-inspired substrate mixture elicits an emergent growth phenotype and metabolic responses in Pseudomonas putida

Natalie Sadler, Elise Van Fossen, Grace Black, Vanessa Paurus, Nathalie Munoz, Yuqian Gao, Isaac Kwame Attah, Damon Leach, Joonhoon Kim, Sneha Couvillion
mSystems  Published:24 July 2026
DOI:https://doi.org/10.1128/msystems.00760-26

分子環境の組成が微生物の基質利用と成長表現型を左右することを解明(The Molecular Environment Composition Shapes Substrate Utilization Dynamics Influencing Microbial Growth Phenotype)

ABSTRACT

Microbes in natural environments often encounter diverse mixtures of organic compounds, yet how mixed substrate environments and their molecular composition shape microbial phenotypes remains understudied. Here, we examined how a defined fungal exudate mimic (FEM) mixture influences growth and metabolism in Pseudomonas putida KT2440 compared to individual substrates matched for total carbon and nitrogen. Growth on FEM initiated 2 h earlier than growth on glucose alone and exhibited both the lowest lag and shortest time to maximum biomass compared to individual substrates. Fructose was the only individual substrate that supported significantly higher maximum biomass than FEM, but exhibited a nearly 15-fold longer lag phase. Gas chromatography mass spectrometry analysis revealed dynamic temporal patterns of substrate utilization within the FEM mixture, with early preferential utilization of malate, followed by overlapping utilization of multiple substrates between 3 and 8 h. By integrating growth and substrate uptake kinetics with genome-scale metabolic modeling and validating model-predicted pathway activity using temporal proteomics, we show that experimentally constrained model predictions accurately captured substrate utilization dynamics across multiple FEM concentrations, and predicted temporal shifts in the dominant substrates supporting growth. Through this integrative experimental-modeling approach, we demonstrate that the mixed substrate FEM environment elicits an emergent growth phenotype characterized by the lowest lag, shortest time to maximum biomass, and relatively high maximum biomass in Pseudomonas putida, a combination of traits not simultaneously reproduced by any individual substrate.

生物化学工学
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