lnstitute for Multidisciplinary Research in Applied Biology (IMAB), Sciences Department, Public University of Navarre (UPNA), Campus de Arrosadía, 31006 Pamplona, Spain.
CESAM-Centro de Estudos do Ambiente e do Mar, Departamento de Biologia Animal, Faculdade de Ciências, Universidade de Lisboa, 1749-016 Lisboa, Portugal.
J Exp Bot. 2024 Jun 7;75(11):3557-3578. doi: 10.1093/jxb/erae106.
Modern crops exhibit diverse sensitivities to ammonium as the primary nitrogen source, influenced by environmental factors such as external pH and nutrient availability. Despite its significance, there is currently no systematic classification of plant species based on their ammonium sensitivity. We conducted a meta-analysis of 50 plant species and present a new classification method based on the comparison of fresh biomass obtained under ammonium and nitrate nutrition. The classification uses the natural logarithm of the biomass ratio as the size effect indicator of ammonium sensitivity. This numerical parameter is associated with critical factors for nitrogen demand and form preference, such as Ellenberg indicators and the repertoire of nitrogen transporters for ammonium and nitrate uptake. Finally, a comparative analysis of the developmental and metabolic responses, including hormonal balance, is conducted in two species with divergent ammonium sensitivity values in the classification. Results indicate that nitrate has a key role in counteracting ammonium toxicity in species with a higher abundance of genes encoding NRT2-type proteins and fewer of those encoding the AMT2-type proteins. Additionally, the study demonstrates the reliability of the phytohormone balance and methylglyoxal content as indicators for anticipating ammonium toxicity.
现代作物对铵作为主要氮源表现出不同的敏感性,这受到外部 pH 值和养分供应等环境因素的影响。尽管铵敏感性很重要,但目前还没有基于植物物种对铵敏感性的系统分类方法。我们对 50 种植物进行了荟萃分析,并提出了一种基于铵和硝酸盐营养条件下获得的新鲜生物量比较的新分类方法。该分类方法使用生物量比的自然对数作为铵敏感性大小效应指标。这个数值参数与氮需求和形态偏好的关键因素有关,如 Ellenberg 指标和铵和硝酸盐吸收的氮转运体库。最后,在分类中具有不同铵敏感性值的两个物种中进行了发育和代谢响应的比较分析,包括激素平衡。结果表明,硝酸盐在具有更高数量编码 NRT2 型蛋白基因和较少编码 AMT2 型蛋白基因的物种中对铵毒性具有关键作用。此外,该研究还证明了植物激素平衡和甲基乙二醛含量作为预测铵毒性的指标的可靠性。