Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1152878 | ENA |
REPOSITORIES: ENA
Similar Datasets
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:Different organic fertilizers effect on soil bacterial
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Project description:Cassava Anthracnose Disease (CAD) that caused by the fungus Colletotorichum anthracnose is a serious disease of cassava in worldwide. In this study, we aim to establish the cassava oligo-DNA microarray representing approximately 30,000 cassava genes and apply it to investigate the molecular mechanisms against fungal infection using two cassava cultivars; Huay Bong 60 (HB60, resistant line for CAD) and Hanatee (HN, sensitive line for CAD). Based on expression profiling, we showed that the expression of various biotic stress-inducible genes, such as detoxification enzyme related genes is higher in HB60 under the treated conditions and non-treated condition, compared with HN. These results show that stress-inducible signaling pathways including ROS detoxification are constitutively activated in HB60 even under normal growth conditions without stress. These results suggest that our microarray is a useful tool for analyzing the cassava transcriptome and add new insight into the host responses of cassava against fungal infection.
2016-12-31 | GSE63223 | GEO
Project description:The gene expression profiling analysis from WT and cold treated samples of cassava that were used with other multi-omics data to build gene model annotation of Cassava.
2024-05-28 | GSE225365 | GEO
Project description:The start site analysis of transcripts from WT and cold treated samples of cassava that were used with other multi-omics data to build gene model annotation of Cassava.
2024-05-28 | GSE225364 | GEO
Project description:Cassava (Manihot esculenta) is the food security crop that feeds approximately 800 million people worldwide. Although this crop displays high productivity under drought and poor soil conditions, it is susceptible to disease, postharvest deterioration and the roots contain low nutritional content. Cassava improvement programs are focused on addressing these constraints but are hindered by the crop’s high heterozygosity, difficulty in synchronizing flowering, low seed production and a poor understanding of the physiology of this plant. Among the major food crops, cassava is unique in its ability to develop massive, underground storage roots. Despite the importance of these structures, their basic physiology remains largely unknown, especially the molecular genetic basis of storage root development. Similarly, in cassava, the favored target tissue for transgene integration and genome editing is a friable embryogenic callus (FEC). Little is known concerning gene expression in this tissue, or its relatedness to the somatic organized embryogenic structures (OES) from which it originates. Here, we provide molecular identities for eleven cassava tissue types through RNA sequencing and develop an open access, web-based interface for further interrogation of the data. Through this dataset, we report novel insight into the physiology of cassava and identify promoters able to drive specified tissue expression profiles. The information gained from this study is of value for both conventional and biotechnological improvement programs.
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