Project description:Land cover change has long been recognized that marked effect the amount of soil organic carbon. However, little is known about microbial-mediated effect processes and mechanism on soil organic carbon. In this study, the soil samples in a degenerated succession from alpine meadow to alpine steppe meadow in Qinghai-Tibetan Plateau degenerated, were analyzed by using GeoChip functional gene arrays.
Project description:Metagenome data from soil samples were collected at 0 to 10cm deep from 2 avocado orchards in Channybearup, Western Australia, in 2024. Amplicon sequence variant (ASV) tables were constructed based on the DADA2 pipeline with default parameters.
Project description:Biological soil crusts (BSCs) are cyanobacteria-dominated microbial communities that cover extensive portions of the world’s arid and semi-arid deserts. The infrequent periods of hydration are often too short to allow for dormancy strategies based on sporulation; consequently, survival is based on the unique capabilities of vegetative cells to resuscitate from and re-enter a stress resistant dormant state, one of which is migration within the crust layers in response to hydration. In this study, we sought to characterize the events that govern the emergence of the dominant cyanobacterium from dormancy, its subsequent growth, and the events triggered by re-desiccation and a transition back to dormant state. We performed a 48 hour laboratory wetting experiment of a desert BSC and tracked the response of Microcoleus vaginatus using a whole genome transcriptional time-course including night/day periods. This allowed the identification of genes with a diel expression pattern, genes involved uniquely in the signaling after hydration and those that contribute primarily to desiccation preparation. Desert BSC samples collected from Moab, UT, were hydrated over a period of 48 hours followed by drying induced by removal of water. At periodic times soil samples were harvested and used for RNA extraction and whole genome expression analysis using an expression array representing genes from two strains of M. vaginatus (PCC 9802 and FGP-2)
Project description:This study systematically investigated the regulatory mechanisms of precipitation changes on endogenous hormones, metabolome, and proteome of Vicia costata Ledeb., a key leguminous plant in desert steppe. Three precipitation treatments were established: 60% precipitation reduction (D), normal precipitation (CK), and 60% precipitation increase (W). Targeted plant hormone metabolomics, untargeted metabolomics, and proteomics technologies were employed to comprehensively analyze the response characteristics. The results showed that precipitation changes significantly affected the balance of endogenous hormones in Vicia costata. Six hormones, including ABA, ACC, cis-OPDA, cZR, tZ, and Typhasterol, exhibited significant differences among different treatments. A total of 1,058 metabolites were identified through metabolomics, with lipids and lipid-like molecules accounting for the highest proportion (30.34%). Differential metabolites were significantly enriched in pathways such as ABC transporters, phenylpropanoid biosynthesis, carbon fixation, and zeatin biosynthesis. Proteomic analysis revealed that the number of differential proteins was the highest in the D vs W comparison (41 proteins), which were significantly enriched in pathways including MAPK signaling pathway, starch and sucrose metabolism, and endoplasmic reticulum protein processing. Integrated analysis identified four common pathways (e.g., plant hormone signal transduction, starch and sucrose metabolism) that synergistically responded to water changes. This study uncovered the molecular adaptation mechanisms of Vicia costata to precipitation changes at the multi-omics level, providing a theoretical basis for the selection, breeding, and utilization of Vicia costata.