Alberio Constanza, Aguirrezábal Luis A N
Instituto de Innovación para el Desarrollo Agroalimentario y Agroenergético Sostenible (IIDEAGROS), Laboratorio de Fisiología Vegetal, Facultad de Ciencias Agrarias, Universidad Nacional de Mar del Plata (FCA-UNMdP), Balcarce, Argentina.
Consejo Nacional de Investigaciones Científicas y Técnicas, Buenos Aires, Argentina.
Front Plant Sci. 2024 Nov 15;15:1476311. doi: 10.3389/fpls.2024.1476311. eCollection 2024.
Temperature is the main environmental determinant of seed oil fatty acid Q9 composition. There are no models describing common responses of main seed oil fatty acids to temperature in plants. The aim of thus work was to investigate common responses of seed oil fatty acids to minimum temperature during grain filling across species and genotypes. A database consisted of 164 genotypes of 9 species, sunflower, rapeseed, soybean, maize, flax, chia, safflower, olive and camelia, grown under a wide range of environmental conditions, was created and analyzed applying meta phenomics tools. Four widely sown species of the database was used to develop several common seed fatty acid responses and validate some models, and the other species were used to validate the General Model. The minimum temperature during grain filling responses of fatty acids in the General Model were close to responses found in genotypes of five independent species used to validate the model. Dissections of the general model by selecting the appropriate data allowed unraveling previously unknown features of the response of fatty acid to the minimum temperature during grain filling. The response of fatty acids to temperature for any species was unaffected by experimental conditions (field or controlled conditions) during the oil synthesis stage. The oleic acid trait did not affect the response to temperature of fatty acids synthesized downstream and upstream of it. Traits such as high stearic or high linoleic did not affect the response of fatty acids synthesized upstream or downstream of the trait. The established models and new knowledge could be applied to design cost effective and timely experiments to assess the potential responses of seed oil fatty acids to temperature of previously untested genotypes.
温度是种子油脂肪酸组成的主要环境决定因素。目前尚无描述植物中主要种子油脂肪酸对温度的共同响应的模型。这项工作的目的是研究跨物种和基因型的种子油脂肪酸在灌浆期对最低温度的共同响应。创建了一个数据库，该数据库由9个物种（向日葵、油菜籽、大豆、玉米、亚麻、奇亚籽、红花、橄榄和山茶）的164个基因型组成，这些基因型在广泛的环境条件下生长，并应用元表型组学工具进行分析。该数据库中的4个广泛种植的物种被用来开发几种常见的种子脂肪酸响应并验证一些模型，其他物种则被用来验证通用模型。通用模型中脂肪酸在灌浆期对最低温度的响应与用于验证该模型的5个独立物种的基因型中的响应相近。通过选择合适的数据对通用模型进行剖析，可以揭示脂肪酸在灌浆期对最低温度响应的一些先前未知的特征。在油合成阶段，任何物种的脂肪酸对温度的响应不受实验条件（田间或控制条件）的影响。油酸性状不影响其上下游合成的脂肪酸对温度的响应。高硬脂酸或高亚油酸等性状不影响该性状上下游合成的脂肪酸的响应。所建立的模型和新知识可应用于设计具有成本效益且及时的实验，以评估种子油脂肪酸对先前未测试基因型温度的潜在响应。
