Peanut and sorghum
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA707612 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:peanut and sorghum rhizosphere bacterial community Raw sequence reads
| PRJNA707614 | ENA
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| PRJNA707613 | ENA
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Project description:Development of cereal crops with high nitrogen-use efficiency (NUE) is a priority for worldwide agriculture. In addition to conventional plant breeding and genetic engineering, the use of the plant microbiome offers another approach to improve crop NUE. To gain insight into the bacterial communities associated with sorghum lines that differ in NUE, a field experiment was designed comparing 24 diverse sorghum lines under sufficient and deficient nitrogen (N). Amplicon sequencing and untargeted gas chromatography-mass spectrometry (GC-MS) were used to characterize the bacterial communities and the root metabolome associated with sorghum genotypes varying in sensitivity to low N. We demonstrated that N stress and sorghum type (energy, sweet, and grain sorghum) significantly impacted the root-associated bacterial communities and root metabolite composition of sorghum. We found a positive correlation between sorghum NUE and bacterial richness and diversity in the rhizosphere. The greater alpha diversity in high NUE lines was associated with the decreased abundance of a dominant bacterial taxa, Pseudomonas. Multiple strong correlations were detected between root metabolites and rhizosphere bacterial communities in response to low-N stress. This indicates that the shift in the sorghum microbiome due to low-N is associated with the root metabolites of the host plant. Taken together, our findings suggest that host genetic regulation of root metabolites plays a role in defining the root-associated microbiome of sorghum genotypes differing in NUE and tolerance to low-N stress.
2023-08-29 | MSV000092783 | MassIVE
Project description:This experiment contains the subset of data corresponding to sorghum RNA-Seq data from experiment E-GEOD-50464 (http://www.ebi.ac.uk/arrayexpress/experiments/E-GEOD-50464/), which goal is to examine the transcriptome of various Sorghum bicolor (BTx623) tissues: flowers, vegetative and floral meristems, embryos, roots and shoots. Thus, we expanded the existing transcriptome atlas for sorghum by conducting RNA-Seq analysis on meristematic tissues, florets, and embryos, and these data sets have been used to improve on the existing community structural annotations.
2014-08-29 | E-MTAB-3839 | biostudies-arrayexpress
Project description:Sorghum is an important cereal crop, which requires large quantities of nitrogen fertilizer for achieving commercial yields. Identification of the genes responsible for low-N tolerance in sorghum will facilitate understanding of the molecular mechanisms of low-N tolerance, and also facilitate the genetic improvement of sorghum through marker-assisted selection or gene transformation. In this study we compared the transcriptomes of root tissues from seven sorghum genotypes having different genetic backgrounds with contrasting low-N tolerance by the RNAseq deep sequencing data. Several genes were found which are common differentially expressed genes between four low-N tolerant sorghum genotypes (San Chi San, China17, KS78 and high-NUE bulk) and three sensitive genotypes (CK60, BTx623 and low-NUE bulk). RNAseq deep sequencing
2014-05-01 | E-GEOD-54705 | biostudies-arrayexpress