Project description:In this study, Solexa sequencing technology has been used to discover small RNA populations of self-grafted watermelon and grafted watermelon (bottle gourd and squash were used as rootstocks). A total of 11,458,476, 11,614,094 and 9,339,089 raw reads representing 2,957,751, 2,880,328 and 2,964,990 unique sequences were obtained from the scions of self-grafted watermelon and watermelon grafted on-to bottle gourd and squash at two true-leaf stage, respectively. 39 known miRNAs belonging to 30 miRNA families and 80 novel miRNAs were identified in our small RNA dataset. Compared with self-grafted watermelon, 20 (5 known and 15 novel miRNAs) and 51 (21 known miRNAs and 30 novel miRNAs) miRNAs were expressed significantly different with higher abundance or lower abundance in watermelon grafted on to bottle gourd and squash, respectively. The differentially expressed miRNA target various transcriptional factors and other genes which involved in a wide range of biological processes. This study was firstly conducted to identify and compare miRNAs on genome-wide scale in watermelon grafting system. The miRNAs expressed differentially when watermelon was grafted onto different rootstocks suggesting that miRNAs might play an important role in diverse biological and metabolic processes in watermelon and grafting may possibly by changing miRNAs expression to regulate plant growth and response to stresses. The small RNA transcriptomes obtained in this study provided insights into molecular basis of miRNA regulation of genes expressed in self-grafted and grafted watermelon.
Project description:Soybean's productivity is significantly compromised by soil salinity, but, like most plants, it has evolved a variety of mechanisms to aid its survival under environmental stress. The expression of many plant genes is altered by salinity stress. We used microarrays to detail the global programme of gene expression and identified distinct up or down-regulated genes between salinity stressed and non stressed soybean Seedlings of the soybean cultivar Williams 82 were grown in vermiculite under a 16h photoperiod at 25 ºC for 14 days. RNA were isolated from the mock (M0, M1, M3, M6, M12, M24) and salinity treated (S0, S1, S3, S6, S12, S24) seedlings. 0.5 µg RNA that extracted from each time point of the mock and salinity-stressed seedlings were mixed respectively to obtain the mock and salinity-stressed RNA pools, and then they were used to synthesize the cDNA. The cDNA was labeled with biotin, and then hybridized to an Affymetrix soybean Genome Array.
Project description:Soybean's productivity is significantly compromised by soil salinity, but, like most plants, it has evolved a variety of mechanisms to aid its survival under environmental stress. The expression of many plant genes is altered by salinity stress. We used microarrays to detail the global programme of gene expression and identified distinct up or down-regulated genes between salinity stressed and non stressed soybean
Project description:Male sterility is important mechanism in watermelon for production of hybrid seed. While some fruit development related studies were widely performed in watermelon, there are no reports of profiling gene expression in floral organs of watermelon. RNA-seq analysis was performed in order to identify male sterility related genes from two different groups of watermelon (genetic male-sterile (GMS) DAH3615-MS line and male-fertile DAH3615 line, respectively) to identify the differentially expressed genes (DEGs).
Project description:Male sterility is important mechanism in watermelon for production of hybrid seed. While some fruit development related studies were widely performed in watermelon, there are no reports of profiling gene expression in floral organs of watermelon. RNA-seq analysis was performed in order to identify male sterility related genes from two different groups of watermelon (genetic male-sterile (GMS) DAH3615-MS line and male-fertile DAH3615 line, respectively) to identify the differentially expressed genes (DEGs). This study employed tophat and edgeR for transcriptome analysis of next-generation RNA-seq data, which included 2 tissues obtained from 2 different breeds of watermelon