Characterization and screening of plant growth promoting rhizobacteria associated with sweet potato plants

This dataset encompasses the morphological and biochemical characterization of rhizobacterial and endophytic bacterial isolates associated with sweet potato plants. It includes results from screening these isolates for growth promotion traits, such as siderophore production, phosphate solubilization, and IAA production. Additionally, it contains data on the biocontrol activity of the isolates against soil-borne pathogens Fusarium oxysporum, Sclerotinia rolfsii, and Globisporangium ultimum, using dual culture assays. The dataset also features molecular characterization of the top-performing isolates, accompanied by constructed phylogenetic trees. Furthermore, it includes data from greenhouse and field trials, where various growth parameters of sweet potato plants were measured to assess the growth promotion effects of the isolates.
PhyML (Guindon and Gascuel, 2003) was used to generate single gene Maximum Likelihood trees. Analysis of Variance (ANOVA) was performed on the greenhouse and field trials data using SAS software (SAS Institute, Cary, NC, USA).

本数据集涵盖了与甘薯植株相关联的根瘤菌和内生细菌分离株的形态学和生化特性描述。其中包含了对这些分离株进行生长促进特性筛选的结果，如铁载体产生、磷溶解释放和吲哚-3-乙酸（IAA）生成。此外，该数据集还记录了分离株对土壤传播病原菌如尖孢镰刀菌（Fusarium oxysporum）、轮枝菌（Sclerotinia rolfsii）和终极球孢菌（Globisporangium ultimum）的生物防治活性，利用双培养试验进行测定。数据集还展示了表现优异的分离株的分子特性，并附有构建的系统发育树。此外，还包括了温室和田间试验数据，测量了甘薯植株的多种生长参数，以评估分离株的生长促进效应。在生成单基因最大似然树方面，使用了PhyML软件（Guindon 和 Gascuel，2003）。温室和田间试验数据利用SAS软件（SAS Institute，美国北卡罗来纳州卡里）进行了方差分析（ANOVA）。