遗传算法
环境化学
重金属
土壤水分
毒物动力学
根际
溶解有机碳
毒性
类金属
化学
生物浓缩
金属毒性
非生物成分
毒物动力学
生物累积
金属
环境科学
生物
生态学
土壤科学
细菌
有机化学
遗传学
作者
Minori Uchimiya,Desmond I. Bannon,Hiromi Nakanishi,Murray B. McBride,Marc A. Williams,Toshihiro Yoshihara
标识
DOI:10.1021/acs.jafc.0c00183
摘要
Heavy metals in agricultural soils exist in diverse dissolved (free cations and complexed species of positive, neutral, or negative charges), particulate (sorbed, structural, and coprecipitated), and colloidal (micro- and nanometer-sized particles) species. The fate of different heavy metal species is controlled by the master variables: pH (solubility), ionic strength (activity and charge-shielding), and dissolved organic carbon (complexation). In the rhizosphere, chemical speciation controls toxicokinetics (uptake and transport of metals by plants) while toxicodynamics (interaction between the plant and absorbed species) drives the toxicity outcome. Based on the critical review, the authors recommend omics and data mining techniques to link discrete knowledge bases from the speciation dynamics, soil microbiome, and plant transporter/gene expression relevant to homeostasis conditions of modern agriculture. Such efforts could offer a disruptive application tool to improve and sustain plant tolerance, food safety, and environmental quality.
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