Raimi Adekunle R, Ezeokoli Obinna T, Adeleke Rasheed A
1Department of Environmental Sciences, College of Agriculture and Environmental Sciences, University of South Africa, Johannesburg, 1709 South Africa.
2Microbiology and Environmental Biotechnology Research Group, Agricultural Research Council-Institute for Soil, Climate and Water, Pretoria, 0001 South Africa.
3 Biotech. 2019 Mar;9(3):108. doi: 10.1007/s13205-019-1643-6. Epub 2019 Feb 27.
The genetic and predicted functional diversity of bacterial communities in 12 commercial biofertiliser products were evaluated using high-throughput sequencing of the 16S rRNA gene. Proteobacteria, Firmicutes and Bacteroides dominated the bacterial communities, with the genera and being prevalent. The manufacturer-specified species were detected in relatively high abundance in two of the products while a few or none of the specified species were detected in some products. A number of unspecified microbes were detected, including potential human and crop pathogens such as . The functional prediction unravelled high prevalence of enzyme-coding genes such as nitrogenase, NifT, alkaline phosphatase and reductases of nitric oxide, nitrate and nitrite which contribute to nitrogen-fixation, phosphorus solubilisation and degradation of nitrates and nitrites. In addition, toxins such as leukocidin/hemolysin and colicin V protein that cause product quality damage were highly predicted in over 67% of the products. Overall, high-throughput sequence analysis of bacterial communities in biofertiliser products revealed that majority of the products were of poor quality. This result justifies the need for regular quality assessment and improvement in quality control systems during biofertiliser formulation.
利用16S rRNA基因的高通量测序技术，对12种商业生物肥料产品中细菌群落的遗传和预测功能多样性进行了评估。变形菌门、厚壁菌门和拟杆菌门在细菌群落中占主导地位，其中 属和 属较为普遍。在两种产品中检测到了制造商指定的物种，且丰度相对较高，而在一些产品中仅检测到少数或未检测到指定物种。检测到了许多未指定的微生物，包括潜在的人类和作物病原体，如 。功能预测表明，固氮酶、NifT、碱性磷酸酶以及一氧化氮、硝酸盐和亚硝酸盐还原酶等酶编码基因的高流行率有助于固氮、磷溶解以及硝酸盐和亚硝酸盐的降解。此外，超过67%的产品中高度预测存在会导致产品质量受损的毒素，如杀白细胞素/溶血素和大肠杆菌素V蛋白。总体而言，生物肥料产品中细菌群落的高通量序列分析表明，大多数产品质量较差。这一结果证明了在生物肥料配方过程中进行定期质量评估和改进质量控制系统的必要性。
