Kuo Jimmy, Liu Daniel, Wen Wei Hao, Chiu Ching Yuan, Chen Wanyu, Wu Yun Wen, Lai Fang-Ting, Lin Chorng-Horng
Department of Planning and Research, National Museum of Marine Biology and Aquarium, Pingtung, 94450, Taiwan.
Graduate Institute of Marine Biology, National Dong Hwa University, Pingtung, 94450, Taiwan.
Braz J Microbiol. 2024 Mar;55(1):777-788. doi: 10.1007/s42770-023-01218-5. Epub 2023 Dec 26.
Organic agriculture is a farming method that provides healthy food and is friendly to the environment, and it is developing rapidly worldwide. This study compared microbial communities in organic farming (Or) paddy fields to those in nonorganic farming (Nr) paddy fields based on 16S rDNA sequencing and analysis. The predominant microorganisms in both soils were Proteobacteria, Chloroflexi, Acidobacteria, Actinobacteria, and Nitrospirota. The alpha diversity of the paddy soil microbial communities was not different between the nonorganic and organic farming systems. The beta diversity of nonmetric multidimensional scaling (NMDS) revealed that the two groups were significantly separated. Distance-based redundancy analysis (db-RDA) suggested that soil pH and electrical conductivity (EC) had a positive relationship with the microbes in organic paddy soils. There were 23 amplicon sequence variants (ASVs) that showed differential abundance. Among them, g_B1-7BS (Proteobacteria), s_Sulfuricaulis limicola (Proteobacteria), g_GAL15 (p_GAL15), c_Thermodesulfovibrionia (Nitrospirota), two of f_Anaerolineaceae (Chloroflexi), and two of g_S085 (Chloroflexi) showed that they were more abundant in organic soils, whereas g_11-24 (Acidobacteriota), g__Subgroup_7 (Acidobacteriota), and g_Bacillus (Firmicutes) showed differential abundance in nonorganic paddy soils. Functional prediction of microbial communities in paddy soils showed that functions related to carbohydrate metabolism could be the major metabolic activities. Our work indicates that organic farming differs from nonorganic farming in terms of microbial composition in paddy soils and provides specific microbes that might be helpful for understanding soil fertility.
有机农业是一种能提供健康食品且对环境友好的耕作方式,在全球范围内发展迅速。本研究基于16S rDNA测序和分析,比较了有机耕作(Or)稻田与非有机耕作(Nr)稻田中的微生物群落。两种土壤中的主要微生物为变形菌门、绿弯菌门、酸杆菌门、放线菌门和硝化螺旋菌门。非有机和有机耕作系统的稻田土壤微生物群落的α多样性没有差异。非度量多维尺度分析(NMDS)的β多样性表明两组有显著分离。基于距离的冗余分析(db-RDA)表明土壤pH值和电导率(EC)与有机稻田土壤中的微生物呈正相关。有23个扩增子序列变体(ASV)表现出丰度差异。其中,g_B1-7BS(变形菌门)、s_Sulfuricaulis limicola(变形菌门)、g_GAL15(p_GAL15)、c_Thermodesulfovibrionia(硝化螺旋菌门)、f_Anaerolineaceae(绿弯菌门)中的两个以及g_S085(绿弯菌门)中的两个在有机土壤中更为丰富,而g_11-24(酸杆菌纲)、g__Subgroup_7(酸杆菌纲)和g_Bacillus(厚壁菌门)在非有机稻田土壤中表现出丰度差异。稻田土壤微生物群落的功能预测表明,与碳水化合物代谢相关的功能可能是主要的代谢活动。我们的工作表明,有机耕作与非有机耕作在稻田土壤微生物组成方面存在差异,并提供了可能有助于理解土壤肥力的特定微生物。