PDF(Pubmed)
Abstract：
BACKGROUND: Glandular trichomes, often referred to as \"phytochemical factories\", plays a crucial role in plant growth and metabolism. As the site for secretion and storage, the development of glandular trichomes is related to the dynamic biosynthesis of specialised metabolites. The study aims to explore the relationship between spatial phenotype and dynamic metabolism of glandular trichomes, and establish a novel approach for the exploration and study of the regulatory mechanism governing the development of glandular trichomes.
RESULTS: In this study, we proposed a technical route based on the relative deviation value to distinguish the peltate glandular trichomes (PGTs) from the background tissues and extract their spatial phenotype. By defining glandular trichome developmental stages based on the leaf vein growth axis, we found that young PGTs were densely distributed near the proximal end of growth axis of the leaf veins, where perillaketone, a primary metabolite of PGTs, is predominantly accumulated. Conversely, mature PGTs are typically found near the distal end of the mid-vein growth axis and the lateral end of the secondary vein growth axis, where the accumulation rate of isoegomaketone and egomaketone exceeds that of perillaketone in PGTs. We further identified spatial phenotypic parameters, Lsum and d, as independent variables to construct a linear regression model that illustrates the relationship between the spatial phenotypes and metabolite content of PGTs, including perillaketone (R2 = 0.698), egomaketone (R2 = 0.593), isoegomaketone (R2 = 0.662) and the sum of the amount (R2 = 0.773).
CONCLUSIONS: This model proved that the development of PGTs was correlated with the growth of the entire leaf, and the development stage of PGTs can be identifined by spatial phenotypes based on the leaf veins. In conclusion, the findings of this study enhance our understanding of correlation between spatial phenotype and development of glandular trichomes and offer a new approach to explore and study the regulatory mechanism of glandular trichome development.
RESULTS: In this study, we proposed a technical route based on the relative deviation value to distinguish the peltate glandular trichomes (PGTs) from the background tissues and extract their spatial phenotype. By defining glandular trichome developmental stages based on the leaf vein growth axis, we found that young PGTs were densely distributed near the proximal end of growth axis of the leaf veins, where perillaketone, a primary metabolite of PGTs, is predominantly accumulated. Conversely, mature PGTs are typically found near the distal end of the mid-vein growth axis and the lateral end of the secondary vein growth axis, where the accumulation rate of isoegomaketone and egomaketone exceeds that of perillaketone in PGTs. We further identified spatial phenotypic parameters, Lsum and d, as independent variables to construct a linear regression model that illustrates the relationship between the spatial phenotypes and metabolite content of PGTs, including perillaketone (R2 = 0.698), egomaketone (R2 = 0.593), isoegomaketone (R2 = 0.662) and the sum of the amount (R2 = 0.773).
CONCLUSIONS: This model proved that the development of PGTs was correlated with the growth of the entire leaf, and the development stage of PGTs can be identifined by spatial phenotypes based on the leaf veins. In conclusion, the findings of this study enhance our understanding of correlation between spatial phenotype and development of glandular trichomes and offer a new approach to explore and study the regulatory mechanism of glandular trichome development.
摘要：
背景：腺毛，通常被称为“植物化学工厂”，在植物生长和新陈代谢中起着至关重要的作用。作为分泌和储存的场所，腺毛体的发育与特殊代谢产物的动态生物合成有关。本研究旨在探讨腺毛体的空间表型与动态代谢的关系,并为探索和研究腺毛发育的调控机制建立了一种新的方法。
结果：在这项研究中，我们提出了一种基于相对偏差值的技术路线，以将骨盆状腺毛（PGT）与背景组织区分开来并提取其空间表型。通过根据叶脉生长轴定义腺毛体发育阶段，我们发现年轻的PGTs在叶脉生长轴的近端附近密集分布，佩里拉克酮，PGTs的主要代谢产物,主要是积累。相反，成熟的PGT通常位于中静脉生长轴的远端和次生静脉生长轴的侧端附近，其中在PGT中，isoegomaketone和egomaketone的积累速率超过perillaketone的积累速率。我们进一步确定了空间表型参数，Lsum和d,作为自变量，构建线性回归模型，说明PGT的空间表型与代谢物含量之间的关系，包括紫苏酮（R2=0.698），egomaketone(R2=0.593),isoegomaketone(R2=0.662)和总量(R2=0.773)。
结论：该模型证明PGTs的发育与整个叶片的生长有关，PGTs的发育阶段可以通过基于叶脉的空间表型来识别。总之,本研究结果增强了我们对腺毛体发育与空间表型相关性的认识，为探索和研究腺毛体发育的调控机制提供了新的思路。
结果：在这项研究中，我们提出了一种基于相对偏差值的技术路线，以将骨盆状腺毛（PGT）与背景组织区分开来并提取其空间表型。通过根据叶脉生长轴定义腺毛体发育阶段，我们发现年轻的PGTs在叶脉生长轴的近端附近密集分布，佩里拉克酮，PGTs的主要代谢产物,主要是积累。相反，成熟的PGT通常位于中静脉生长轴的远端和次生静脉生长轴的侧端附近，其中在PGT中，isoegomaketone和egomaketone的积累速率超过perillaketone的积累速率。我们进一步确定了空间表型参数，Lsum和d,作为自变量，构建线性回归模型，说明PGT的空间表型与代谢物含量之间的关系，包括紫苏酮（R2=0.698），egomaketone(R2=0.593),isoegomaketone(R2=0.662)和总量(R2=0.773)。
结论：该模型证明PGTs的发育与整个叶片的生长有关，PGTs的发育阶段可以通过基于叶脉的空间表型来识别。总之,本研究结果增强了我们对腺毛体发育与空间表型相关性的认识，为探索和研究腺毛体发育的调控机制提供了新的思路。
