Dataset: Plant growth and soil microbial data from co-inoculation of halotolerant Bacillus strain and AMF in saline soils

Published: 17 February 2026| Version 2 | DOI: 10.17632/xhbc9mz848.2
Contributor:
Xinyu Li

Description

This dataset contains all experimental data supporting the research on a novel “halophyte-PGPR-AMF” synergistic strategy for saline-alkali land remediation. The study investigated the synergistic effects of a novel halotolerant plant growth-promoting rhizobacterium (PGPR) and arbuscular mycorrhizal fungi (AMF) on plant growth under saline stress conditions.The dataset comprises four main components: 1. In vitro Plant Growth-Promoting (PGP) Traits of 30 Salt-Tolerant Isolates: This component contains the quantitative screening results from biochemical assays evaluating the PGP potential of 30 distinct salt-tolerant bacterial strains isolated from the rhizosphere of Suaeda salsa. The data led to the identification of the most promising candidate, Bacillus sp. strain 29. Key metrics for all isolates include ACC deaminase activity, indole-3-acetic acid (IAA) production, phosphate solubilization efficiency, potassium mobilization, and nitrogen fixation. 2. Pot Experiment: Function of Dominant Strain and Synergy on Suaeda salsa: This component includes the raw data from a pot experiment designed to dissect the individual and interactive effects of the selected PGPR strain 29 and AMF on the native halophyte Suaeda salsa under saline stress. The experiment comprised four treatment groups: non-inoculation control (CK), AMF mono-inoculation (AM), PGPR mono-inoculation (PG), and PGPR+AMF co-inoculation (AP). Data includes plant growth parameters (fresh weight, root length, etc.) and corresponding soil physicochemical properties. 4. Validation Pot Experiment: Synergistic Effects of Co-inoculation on Four Plant Species: This component contains the raw data from a validation pot experiment designed to test the broad-spectrum efficacy of the PGPR-AMF co-inoculation strategy. Four plant species—Suaeda salsa (Su.s), Medicago sativa (Me.s), Nicotiana tabacum (Ni.t), and Zea mays (Ze.s)—were subjected to two treatments: non-inoculation control (CK) and PGPR-AMF co-inoculation (AP). Data includes phenotypic biomass measurements for all species, enabling comparative analysis of interspecific variations in response to microbial co-inoculation under saline conditions. 4. 16S rRNA Gene Sequence of Bacillus sp. Strain 29: This component provides the primary molecular data for the taxonomic identification of the key bacterial inoculant used in this study. It contains the raw, nearly full-length 16S rRNA gene sequence of the halotolerant Bacillus sp. strain 29, obtained via Sanger sequencing, provided in FASTA format.

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1. Soil Sampling and Bacterial Isolation: Rhizosphere soil of Suaeda salsa was collected from saline-alkali land in western Inner Mongolia. Thirty salt-tolerant bacterial isolates were obtained by serial dilution and plating on Nutrient Agar supplemented with NaCl. 2. In vitro PGP Trait Assays: All 30 isolates were screened for ACC deaminase activity (S. Gupta and S. Pandey, 2019), IAA production (B. Mohite, 2013), phosphate solubilization (on Pikovskaya's agar), and other traits following standard microbiological protocols. Quantitative measurements were taken using a UV-Vis spectrophotometer . 3. Two independent pot experiments were conducted using naturally saline soil： Experiment 1 (Mechanism on Suaeda salsa): Employed a completely randomized design with three replicates across four treatments: control (CK), AMF inoculation (AM), PGPR (strain 29) inoculation (PG), and co-inoculation (AP). Plants were treated weekly and harvested at 21 days for growth measurement. Experiment 2 (Validation on four species): Extended the trial to Suaeda salsa, Medicago sativa, Nicotiana tabacum, and Zea mays. Each species was subjected to two treatments (CK and AP) with three replicates, following the same inoculation and growth protocol as Experiment 1. All plants were grown under controlled greenhouse conditions, and key growth parameters (e.g., biomass, root length) were recorded at harvest. 4. Molecular Identification of Strain 29: Genomic DNA of the selected dominant strain 29 was extracted using the TIANamp Bacteria DNA Kit. Subsequently, DNA integrity was verified via 1% agarose gel electrophoresis, and the qualified samples were subjected to 16S rRNA double-end sequencing (Beijing Tianyi Huiyuan Biotechnology Co., Ltd.). Sequencing results were aligned against the GenBank database (National Center for Biotechnology Information) via BLAST for preliminary taxonomic classification. 5. Data Processing: Raw data were organized in Microsoft Excel. Statistical analysis was performed using SPSS 26.0. One-way ANOVA followed by Duncan's multiple range test (p < 0.05) was used to determine significant differences among treatments.

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Agricultural Biotechnology

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