Project description:Purpose: To understand the effects of two different chemical forms of iron fertilizer on cadmium accumulation Methods:Cultivation and treatment for three weeks of dwarf Polish wheat seedlings by hydroponics, in triplicate, qRT–PCR validation was performed using TaqMan and SYBR Green assays Results: Iron fertilizer can effectively reduce cadmium concentration in plants Conclusions: Our study represents the different chemical forms of iron fertilizer have different mitigation effects on cadmium. The transcriptome gata showed that iron fertilizer have changed the cadimium metabolism
Project description:Nitrogen (N) fertilization is an important abiotic factor for the growth of potato (S. tuberosum) because of its potential effects on yield. Because excess N in the soil runs off into water systems and negatively impacts the environment, studies on N use by the plant are key to decrease N-fertilizer use. Three commercial potato cultivars (Shepody, Russet-Burbank and Atlantic) were grown under two different rates of applied N-fertilizer (0 kg N ha-1 and 180 kg N ha-1) to obtain more information on the underlying gene regulation mechanisms associated with N. Plants with no added N had significantly lower concentrations of petiole nitrates, chlorophyll level indices, biomass and yield per hectare. Total mRNA samples were taken at two different time-points during the growth season and used for sequencing. The results for each cultivar and time-point were analysed separately to find differentially expressed genes. In total, thirty genes were found to be over-expressed and nine genes were found to be under-expressed in plants from all potato cultivars when they were grown with added N-fertilizer. The 1000 bp upstream flanking regions of the differentially expressed genes were analysed to find overrepresented motifs using three motif discovery algorithms (Seeder, Weeder and MEME). Nine different motifs were found, indicating potential gene regulatory mechanisms for potato under N-deficiency.
Project description:The spread of antibiotic resistance genes (ARG) into agricultural soils, products, and foods severely limits the use of organic fertilizers in agriculture. In this study, experimental land plots were fertilized, sown, and harvested for two consecutive agricultural cycles using either mineral or three types of organic fertilizers: sewage sludge, pig slurry, or composted organic fraction of municipal solid waste. The analysis of the relative abundances of more than 200,000 ASV (Amplicon Sequence Variants) allowed the identification of a small, but significant (<10%) overlap between soil and fertilizer microbiomes, particularly in soils sampled the same day of the harvest (post-harvest soils). Loads of clinically relevant ARG were significantly higher (up to 100 fold) in fertilized soils relative to the initial soil. The highest increases corresponded to post-harvest soils treated with organic fertilizers, and they correlated with the extend of the contribution of fertilizers to the soil microbiome. Edible products (lettuce and radish) showed low, but measurable loads of ARG (sul1 for lettuces and radish, tetM for lettuces). These loads were minimal in mineral fertilized soils, and strongly dependent on the type of fertilizer. We concluded that at least part of the observed increase on ARG loads in soils and foodstuffs were actual contributions from the fertilizer microbiomes. Thus, we propose that adequate waste management and good pharmacological and veterinarian practices may significantly reduce the potential health risk posed by the presence of ARG in agricultural soils and plant products.
2021-07-09 | GSE179685 | GEO
Project description:Soil microbiome amplicon sequencing on different fertilizer treatments
| PRJNA561072 | ENA
Project description:Soil microbiome amplicon sequencing on different fertilizer treatments
Project description:Structure and assembly processes of soil bacterial communities under different land use at karst areas remained poorly understood to date. To address this issue, soil samples from arable land and pristine forest over a karst cave, located in the acid rain impacted area, Hubei province, were collected and subjected to high-throughput sequencing and multivariate statistical analysis.