Project description:In this study, the leaves of upland cotton X142 and its corresponding fuzzness-lintness mutant X142fl were used as materials. Proteomic techniques were used to analysis the protein abundant between the leaves of upland cotton and MaxQuant software was selected to analyze the proteomic data.
Project description:As an initial step to explore the cotton (Gossypium hirsutum L.) root transcriptional response to the southern Root-Knot Nematode (RKN) Meloidogyne incognita infestation, conventional heirloom G. hirsutum (Gh) cultivars [susceptible Acala SJ-2 (SJ2), moderately resistant Upland Wild Mexico Jack Jones (WMJJ), and resistant Acala NemX] that have been shown to be useful as an informative genetic model for detecting and introgressing RKN resistance genes into commercial Upland cotton were used to enlighten the molecular mechanisms and gene expression of RKN resistance. Using the next generation sequencing (NGS) Illumina MiSeq and HiSeq, we performed RNA-seq profiling in roots with disease progression of 10 days and collected from 23 days old plants of SJ2, WMJJ, and NemX. With three biological replicates of each treatment from each cultivar, plants were subjected to RKN-infestation and non-infested control developing a total of 18 RNA-seq libraries
Project description:A cDNA library from 0-10 day post anthesis cotton ovules was established to study genes expressed in cotton ovule during initiation and quickly elongation period. We randomly sequenced over 100,000 ESTs from this library and acquired a gene pool of more than 28,000 UniESTs. The cotton UniESTs were then PCR-amplified and printed onto microarray. This array is comprised of about 28000 high-quality cotton cDNAs (with average length>750bp) and external controls. To study the different growth potential of cotton fibers in a one-year cycle, we then hybridized the array with RNA samples derived from +7 DPA wild-type upland cotton fibers in four different seasons, respectively.
Project description:Nitric oxide(NO) is emerging as an important signaling molecule with diverse physiological functions in plants, leading to a necessity to discover the downstream genes and signal transduction network modulated by NO. In the current study, changes in gene expression in response to NO were studied in upland cotton(Gossypium hirsutum) using Solexa/Illumina’s digital gene expression (DGE) system, a tag-based transcriptome sequencing method. After mapping to an integrated reference sequence database, we obtained about 30,000 genes per library, and yielded 2,393 differential expressed genes in total.
