Project description:Background: The soil environment is responsible for sustaining most terrestrial plant life on earth, yet we know surprisingly little about the important functions carried out by diverse microbial communities in soil. Soil microbes that inhabit the channels of decaying root systems, the detritusphere, are likely to be essential for plant growth and health, as these channels are the preferred locations of new root growth. Understanding the microbial metagenome of the detritusphere and how it responds to agricultural management such as crop rotations and soil tillage will be vital for improving global food production. Methods: The rhizosphere soils of wheat and chickpea growing under + and - decaying root were collected for metagenomics sequencing. A gene catalogue was established by de novo assembling metagenomic sequencing. Genes abundance was compared between bulk soil and rhizosphere soils under different treatments. Conclusions: The study describes the diversity and functional capacity of a high-quality soil microbial metagenome. The results demonstrate the contribution of the microbiome from decaying root in determining the metagenome of developing root systems, which is fundamental to plant growth, since roots preferentially inhabit previous root channels. Modifications in root microbial function through soil management, can ultimately govern plant health, productivity and food security.
Project description:We used an immature mouse T cell line engineered to express a biotinylated form of the cleaved form of Notch1 (ICN1). ICN1-bound sites were precipitated with streptavidin-coated beads and subjected to ChIP-sequencing. Beko cells correspond to a spontaneous T lymphoma immature cell line derived from a TCRb deficient mouse. These cells were engineered to express a biotin-tagged-ICN1 and the bacterial biotin ligase BirA (Bio-ICN1) or just BirA as a control (Bio). Chromatin from both cell lines was subjected to strepatavidin-mediated precipitation and subjected to sequencing with the Illumina GAII sequencer as single end 36 base pair reads.
Project description:We have combined a modified protein extraction method, heat/thaw/phenol/chloroform (HTPC), with the established Surfactant extraction method to identify proteins from Park Grass Experiment (PGE) soil, which has an extensively sequenced microbial database.
Project description:We measured transcriptional profiles of individuals of Andropogon gerardii, a C4 grass native to North American grasslands, in a field experiment in which both temperature and precipitation have been manipulated to simulate key aspects of forecasted climate change.
Project description:Purpose:Salinity is an important environmental factor that affects the physiological activities of fish. The goals of this study are investigating the effect of different saline-alkali stress on grass carp (Ctenopharyngodon idella). Methods: Grass carp individuals, averaging 12 cm in body length, were obtained from Duofu fish farm (Wuhan, China) and cultured at recirculating aquaculture system for 2 weeks before the experiment began. For the challenge, all grass carp were randomly divided into three groups, and then cultured at saline-alkali water with the concentration of 0, 3‰ and 6‰. After 30 days, some grass crap cultured at 3‰ and 6‰ saline-alkali water were injured. At the same time, gill samples of grass carp were collected from 0, 3‰ (grass carp was not injured), 3‰ (grass carp was injured), 6‰ (grass carp was not injured) and 6‰ (grass carp was injured)saline-alkali groups. Total RNA of all samples was isolated using TRIzol® Reagent (Invitrogen) according to the manufacturer's introduction. RNA integrity was assessed using an Agilent 2100 bioanalyzer (Agilent, USA). Samples with RNA integrity numbers (RINs) ≥ 7.5 were subjected to cDNA library construction using TruseqTM RNA sample prep Kit (Illumina). Results:A total of 15 were processed for transcriptome sequencing, generating 94.99Gb Clean Data. At least 5.76Gb clean data were generated for each sample with minimum 91.87% of clean data achieved quality score of Q30. Clean reads of each sample were mapped to specified reference genome. Mapping ratio ranged from 88.59% to 92.84%. The expression of genes was quantified and differentially expressed genes were identified based on their expression.Criteria for differentially expressed genes was set as Fold Change(FC)≥1.5 and Pvalue<0.05. Fold change(FC) refers to the ratio of gene expression in two samples. These DEGs were further processed for functional annotation and enrichment analysis. Conclusions: Our study represents Effects and molecular regulation mechanisms of saline-alkali stress on the healthy grass carp by using RNA-seqtechnology. Our results show that saline-alkali stress will impair the immune system of grass carp.