Project description:Expression profiling of 7,530 Heterodera glycines probesets present on the Affymetrix Soybean Genome Array GeneChip throughout the life cycle of the nematode (egg, infective J2, parasitic J2, J3, J4, adult female).
Project description:Purpose: Soybean aphid, Aphis glycines Matsumura (Hemiptera: Aphididae) and soybean cyst nematode, Heterodera glycines Ichinohe, (SCN) are the two most economically important pests of soybean, Glycine max (L.) Merr., in the Midwest. Although the soybean aphid is an aboveground pest and SCN is a belowground pest there is evidence that concomitant infestations result in improved SCN reproduction. This study is aimed to characterize the three-way interactions among soybean, soybean aphid and SCN using demographic and genetic datasets. Results: More than 1.1 billion reads (61.4 GB) of transcriptomic data were yielded from 47 samples derived from the experiment using whole roots of G. max. The phred quality scores per base for all the samples were higher than 30. The GC content ranged from 43 to 45% and followed the normal distribution. After trimming, more than 99% of the reads were retained as the clean and good quality reads. Upon mapping these reads, we obtained high mapping rate ranging from 73.8% to 94.3%. Among the mapped reads, 67.1% to 87.6% reads were uniquely mapped. Conclusions: The comprehensive understanding of these transcriptome data would help in understanding the molecular interactions among soybean, A. glycines, and H. glycines. The use of multifaceted bioinformatics approaches could facilitate finding candidate genes and their function that might play a crucial role in various pathways for host resistance against both soybean aphids and SCN. For differential gene expression analysis, EdgeR, limma, and DEseq2 could be used. Apart from standalone tools like iDEP, Galaxy (https://usegalaxy.org), CyVerse (http://www.cyverse.org), and MeV (http://mev.tm4.org) could also be used for both analysis and visualization of RNA- seq data.
Project description:Gene expression profiles in the bacterial pustule-resistant soybean cultivars To investigate the differential action between resistance and susceptible cultivars, we examined genome wide expression levels at five time points after X. axonopodis pv. Glycines (Xag) inoculation using microarray.
Project description:Circular (circ) RNAs have been widely reported to be involved in gastric cancer (GC) pathogenesis and coiled coil domain containing 6 (CCDC6) is recognized as fused partner of multiple oncogenes; however, the underlying mechanisms of how circRNAs regulate CCDC6 expression in the progression and prognosis of GC remain unclear. Here, we discovered a novel circRNA derived from the DNA2 gene locus (circDNA2) through joint analysis of circRNA microarrays. By performing qRT-PCR and FISH assays with a human tissue microarray, circDNA2 was identified to be highly expressed in GC tissues and associated with lymphatic invasion of GC patients. Knockdown of circDNA2 suppressed the proliferation of GC cells by reducing CCDC6 expression in vitro. Mechanically, circDNA2 acted as a sponge for microRNA (miR)-149-5p, which was validated to target CCDC6 by dual luciferase reporter assays and rescue experiments. Both miR-149-5p low expression and CCDC6 high expression were related to unfavorable prognosis of GC patients. Moreover, GC patients with low miR-149-5p expression had shorter overall survival and higher risk of chemotherapy resistance compared with these with high miR-149-5p expression. In summary, our findings reveal that circDNA2 contributes to the growth and lymphatic metastasis of GC through upregulating CCDC6 expression via sponging miR-149-5p. The circDNA2/miR-149-5p/CCDC6 axis might be developed as a therapeutic target and prognostic indicator for GC patients.