Project description:Hairy vetch (Vicia villosa Roth) is recognized as a beneficial winter cover crop in the Midwestern U.S. DNA microarrays are used for assessing gene expression significance. The objective of the study was to identify a set of genes expressed in hairy vetch, that could be further analyzed for their potential in improving the crop. The RNA of four targets (soybean (Glycine max), hairy vetch, Vicia pannonica PI 170008, and Vicia pannonica PI 515988) were purified, labeled, and hybridized to 142 cDNA clones of biotic stress genes and gene sequences of soybean that were robotically spotted onto aminosilicated slides with duplicate spots and three arrays per slide. The microarray experiments were completed in a reference design experiment incorporating a two-dye system. The data were analyzed using the individual fluorescence intensities to fit two statistical models in a mixed model analysis of variance. In this analysis, systematic error effects were observed to account for 24% of the total variation. The use of a Bonferroni adjusted significance threshold allowed for adequate control over the number of falsely identified significant genes showing expression in the different target comparisons. We observed that 64 of the 142 gene sequences (45%) were differentially expressed in at least one of the target comparisons. Two of these expressed genes in hairy vetch encoded for a cold tolerance indicator, proline, and two other gene sequences encode for stress tolerance indicators, myo-inositol and calmodulin. A soybean cDNA microarray was used effectively to differentiate gene expression in hairy vetch. Keywords: comparative genomic hybridization (cross-species)
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.
Project description:Symbiotic nitroegn fixation in functional (Fix+) and non-functional (Fix-) nodules of Vicia faba infected with Rhizobium leguminosarum was investigated using label-free shotgun tandem MS. Proteins involved in symbiotic nitrogen fixation and maintenance of the symbiosis were identified.