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的根际细菌及内生细菌分离株的形态学与生化特性表征。数据集包含针对这些分离株的促生长性状筛选结果，涵盖铁载体合成、溶磷能力及吲哚乙酸（IAA）合成等性状。此外，数据集还收录了采用平板对峙培养试验测定这些分离株对土传病原菌尖孢镰刀菌（Fusarium oxysporum）、齐整小核菌（Sclerotinia rolfsii）及终极腐霉（Globisporangium ultimum）的生防活性数据。数据集同时收录了表现最优的分离株的分子特性表征数据，以及构建得到的系统发育树。此外，数据集还包含温室与田间试验数据：试验中测定了甘薯植株的多项生长参数，以评估分离株的促生长效果。
本研究采用PhyML（Guindon与Gascuel，2003）工具构建单基因最大似然树。针对温室与田间试验数据，本研究采用SAS软件（SAS研究所，美国北卡罗来纳州卡里市SAS公司）完成了方差分析（ANOVA）。