South Pratacultural Center, South China Agricultural University/Guangdong Engineering Research Center of Grassland Science, Guangzhou, 510642, China.
Arch Microbiol. 2021 Jan;203(1):335-346. doi: 10.1007/s00203-020-02025-4. Epub 2020 Sep 18.
To address correlations between population sizes of microbes on the leaf surfaces and leaf morphological and physicochemical properties, various leaf morphological and physicochemical features as possible predictors of microbial population sizes on the leaf surfaces of four Napier grass cultivars were assessed. Results indicated microbes except for lactic acid bacteria (LAB) preferred to colonize the leaf surfaces bearing trichomes, and their population sizes were significantly correlated with trichomes, especially for yeasts. The population sizes of microbes were positively correlated with soluble sugar content (p < 0.05). Furthermore, no significant correlation was found between population sizes of microbes and wax content, except for yeasts. The multivariate regression trees (MRT) analysis showed different genotypes of leaf-microbe system could be characterized by four-leaf attributes with soluble sugar of leaf tissues being the primary explanatory attribute. Leaves with soluble sugar content below 9.72 mg g fresh weight (FW) were rarely colonized. For leaves with soluble sugar content above 9.72 mg g FW, water content was the next explanatory leaf attribute, followed by wax content on the leaf surfaces. Leaves with higher water content (> 73%) were more colonized, and small microbial population was associated with higher wax content (> 10.66 mg g dry matter). In conclusion, leaf chemical attributes have a higher contribution than morphological structure properties in determining population sizes of microbes on the leaf surfaces. The exuded soluble sugar and protein promote the development of microbial populations. For different genotypes of leaf-microbe system, the relationship between microbial abundance on their leaf surfaces and leaf morphological structure or physicochemical properties may be predicted by the MRT. Population sizes of microbes are primarily influenced by soluble sugar content under the water-rich conditions.
为了研究叶片表面微生物种群与叶片形态和理化特性之间的相关性，评估了四个象草品种叶片表面微生物种群与叶片形态和理化特性之间的关系，这些特性可能是微生物种群的预测因子。结果表明，除乳酸菌（LAB）外，其他微生物更喜欢定殖在有毛状体的叶片表面，它们的种群与毛状体密切相关，尤其是酵母菌。微生物的种群大小与可溶糖含量呈正相关（p<0.05）。此外，除了酵母菌外，微生物种群大小与蜡质含量之间没有显著相关性。多元回归树（MRT）分析表明，不同基因型的叶片-微生物系统可以通过四个叶片属性来描述，叶片组织中的可溶糖是主要的解释属性。可溶糖含量低于 9.72mg g 鲜重（FW）的叶片很少被定殖。对于可溶糖含量高于 9.72mg g FW 的叶片，水分含量是下一个解释性叶片属性，其次是叶片表面的蜡质含量。水分含量较高（>73%）的叶片更容易被定殖，而微生物种群较小则与较高的蜡质含量（>10.66mg g 干物质）有关。总之，叶片化学特性对叶片表面微生物种群大小的决定作用高于形态结构特性。渗出的可溶糖和蛋白质促进了微生物种群的发展。对于不同基因型的叶片-微生物系统，MRT 可以预测叶片表面微生物丰度与叶片形态结构或理化特性之间的关系。在水分充足的条件下，微生物的种群大小主要受可溶糖含量的影响。
