Hossein Najdegerami Ebrahim, Manaffar Ramin
Department of Biology, Faculty of Science, Urmia University, Urmia, Iran.
Department of Fisheries, Faculty of Natural Resources, Urmia University, Urmia, Iran.
Vet Res Forum. 2024;15(8):425-434. doi: 10.30466/vrf.2024.2015189.4060. Epub 2024 Aug 15.
A 35-day study investigated the impact of carbon sources and carbon/nitrogen (C/N) ratios on the microbial community of biofloc. For this purpose, we utilized a combination of phospho-lipid fatty acids (PLFAs) profiles and DNA-based sequencing methods to investigate changes in the microbial community composition and structure. The experiment involved three carbon sources including Dextrin (DEX), corn starch (CS) and wheat bran (WB) at two C/N ratios (19 and 30). The results indicated that WB and CS were found to decrease nitrogen metabolite concentration while increasing total suspended solids and bacterial density compared to DEX. The treatments exhibited variations in microbial communities and the use of polymerase chain reaction/ denaturing gradient gel electrophoresis analysis revealed distinct dominant bacterial species linked to carbon sources and C/N ratios. Furthermore, the highest levels of bacteria and protozoa PLFAs biomarkers were observed in the C/N30 ratio and WB treatment while the ratio for poly-β-hydroxybutyrate/PLFAs and fungi biomarkers displayed a decrease. Also, by incorporating the results of PLFAs profile and conducting a principal component analysis, the treatments were categorized into distinct groups based on both the carbon source and C/N ratios. Overall, both methods yield consistent results. PLFAs offered additional insights into the microbial composition beyond bacterial structure while DNA-based analysis provided finer taxonomic resolution.
一项为期35天的研究调查了碳源以及碳氮(C/N)比 对生物絮团微生物群落的影响。为此,我们结合使用磷脂脂肪酸(PLFA)谱和基于DNA的测序方法,来研究微生物群落组成和结构的变化。该实验涉及三种碳源,即糊精(DEX)、玉米淀粉(CS)和麦麸(WB),设置了两个C/N比(19和30)。结果表明,与DEX相比,WB和CS能降低氮代谢物浓度,同时提高总悬浮固体和细菌密度。各处理组的微生物群落存在差异,聚合酶链反应/变性梯度凝胶电泳分析显示,不同的优势细菌种类与碳源和C/N比有关。此外,在C/N比为30的WB处理组中,观察到细菌和原生动物PLFA生物标志物的含量最高,而聚-β-羟基丁酸酯/PLFA和真菌生物标志物的比例则有所下降。此外,通过整合PLFA谱的结果并进行主成分分析,各处理组根据碳源和C/N比被分为不同的组。总体而言,两种方法得出了一致的结果。PLFA能提供细菌结构之外的微生物组成的更多信息,而基于DNA的分析则能提供更精细的分类分辨率。