Wheat associated microbiome in a semiarid environment
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1073986 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Wheat tissue associated microbiome sequencing
| PRJNA790613 | ENA
Project description:Microbiome engineered environment model is a Named Entity Recognition (NER) model that identifies and annotates the man-made environment of microbiome samples in texts. This is the final model version used to annotate metagenomics publications in Europe PMC and enrich metagenomics studies in MGnify with engineered metadata from literature. For more information, please refer to the following blogs: http://blog.europepmc.org/2020/11/europe-pmc-publications-metagenomics-annotations.html https://www.ebi.ac.uk/about/news/service-news/enriched-metadata-fields-mgnify-based-text-mining-associated-publications
2022-02-21 | MODEL2202170004 | BioModels
Project description:the rhizobacterial microbiome of different wheat genotypes and species
| PRJEB46385 | ENA
Project description:Bacillus velezensis strain:C3-3 | isolate:resource islands in a semiarid environment Genome sequencing
| PRJNA1127043 | ENA
Project description:Aging is associated with declining immunity and inflammation as well as alterations in the gut microbiome with a decrease of beneficial microbes and increase in pathogenic ones. The aim of this study was to investigate aging associated gut microbiome in relation to immunologic and metabolic profile in a non-human primate (NHP) model. 12 old (age>18 years) and 4 young (age 3-6 years) Rhesus macaques were included in this study. Immune cell subsets were characterized in PBMC by flow cytometry and plasma cytokines levels were determined by bead based multiplex cytokine analysis. Stool samples were collected by ileal loop and investigated for microbiome analysis by shotgun metagenomics. Serum, gut microbial lysate and microbe-free fecal extract were subjected to metabolomic analysis by mass-spectrometry. Our results showed that the old animals exhibited higher inflammatory biomarkers in plasma and lower CD4 T cells with altered distribution of naïve and memory T cell maturation subsets. The gut microbiome in old animals had higher abundance of Archaeal and Proteobacterial species and lower Firmicutes than the young. Significant enrichment of metabolites that contribute to inflammatory and cytotoxic pathways was observed in serum and feces of old animals compared to the young. We conclude that aging NHP undergo immunosenescence and age associated alterations in the gut microbiome that has a distinct metabolic profile.
2022-02-01 | E-MTAB-10160 | biostudies-arrayexpress
Project description:Considering the crucial role of root exudates, we hypothesized that continuous wheat cultivation would lead to lower glucose release, resulting in lower microbial growth, activity, and biomass. For the first time in situ glucose imaging was optimized for studying the interactions in the first (W1) and third (W3) wheat after break crop plots in the field. Glucose imaging method combined with soil microbial respiration, enzyme kinetics and the quantification SWEET genes expression levels in wheat plants. W3 had the lowest proportion of hotspots for glucose release with 1.35 % of the total soil surface area, indicating a 17.7 % decline compared to W1. Also, the expressions of functional orthologous genes of SWEET1a in wheat roots were significantly upregulated in W3 compared to W1. The growing microbial biomass in the rhizosphere soil of W1 was about five times higher than W3. Differences in SWEET gene expression and shift in glucose release is linked to altered root physiology and exudation processes, potentially reflecting the plant's strategy to create a less favourable environment for opportunistic pathogens. Hence, this study provides novel insights into the complex interactions between continuous wheat cultivation, root exudation, microbial dynamics, gene expression, and enzymatic activities.
2025-06-18 | GSE299883 | GEO
Project description:Lanfill Associated Extremophilic Environment Metagenome
| PRJNA901058 | ENA
Project description:Phenotypic responses to biotic stresses are often studied as the interactions between two species; however, in the phytobiome, these responses frequently result from complex interactions involving several organisms. Here, we show that variation in chlorosis caused by Russian wheat aphid (Diuraphis noxia) feeding is determined, in part, by aphid-associated bacteria. Proteomic analysis of fluids injected into a sterile medium by the aphid during feeding indicate that 99% of the proteins are of bacterial origin. Of these, the greatest proportion are produced by bacteria in the order Enterobacteriales. Bacteria from five genera in four families that have the capacity to produce these proteins were isolated directly from aphids as well as from wheat leaves only after D. noxia feeding. By themselves or in combination, these bacteria were not virulent to wheat, even at high inoculum levels. Metagenomic analysis showed that the same five D. noxia-associated genera dominated the non-Buchnera component of the aphid microbiome, and that representation of these genera was reduced in aphids from colonies established after isolation of newborn nymphs from their mothers prior to feeding (‘isolated’ aphids). Isolation or treatment with antibiotics reduced bacterial numbers, and these aphids caused less feeding damage on wheat than non-isolated or non-antibiotic treated aphids. Our data show that bacterial proteins are a significant component of Russian wheat aphid saliva, that the bacteria producing these proteins are associated with aphids and plants fed upon by aphids, and that these aphid-associated bacteria facilitate aphid virulence to wheat.
2020-11-09 | PXD010663 | Pride
Project description:Root-associated microbiomes of wheat
| PRJEB33393 | ENA
Project description:Wheat Grain-Associated Microbiota Raw sequence reads
| PRJNA885272 | ENA