MicroRNA expression profiling during the life cycle of the silkworm (Bombyx mori)

In line 12 of page 1, replace "GmGER 9" with "GmGER 15".     

MicroRNA expression analysis in the cellulosic biofuel crop switchgrass (Panicum virgatum) under abiotic stress

Switchgrass has increasingly been recognized as a dedicated biofuel crop for its broad adaptation to marginal lands and high biomass. However, little is known about the basic biology and the regulatory mechanisms of gene expression in switchgrass, particularly under stress conditions. In this study, we investigated the effect of salt and drought stress on switchgrass germination, growth and the expression of small regulatory RNAs. The results indicate that salt stress had a gradual but significant negative effect on switchgrass growth and development. The germination rate was significantly decreased from 82% for control to 36% under 1% NaCl treatment. However, drought stress had little effect on the germination rate but had a significant effect on the growth of switchgrass under the severest salinity stress. Both salt and drought stresses altered the expression pattern of miRNAs in a dose-dependent manner. However, each miRNA responded to drought stress in a different pattern. Salt and drought stress changed the expression level of miRNAs mainly from 0.9-fold up-regulation to 0.7-fold down-regulation. miRNAs were less sensitive to drought treatment than salinity treatment, as evidenced by the narrow fold change in expression levels. Although the range of change in expression level of miRNAs was similar under salt and drought stress, no miRNAs displayed significant change in expression level under all tested salt conditions. Two miRNAs, miR156 and miR162, showed significantly change in expression level under high drought stress. This suggests that miR156 and miR162 may attribute to the adaption of switchgrass to drought stress and are good candidates for improving switchgrass as a biofuel crop by transgenic technology.     

MicroRNA expression and function in cancer

MicroRNAs are small non-coding RNAs of 19-24 nucleotides in length that downregulate gene expression during various crucial cell processes such as apoptosis, differentiation and development. Recent work supports a role for miRNAs in the initiation and progression of human malignancies. Large high-throughput studies in patients revealed that miRNA profiling have the potential to classify tumors with high accuracy and predict outcome. Functional studies, some of which involve animal models, indicate that miRNAs act as tumor suppressors and oncogenes. Here, we summarize miRNA-profiling studies in human malignancies and examine the role of miRNAs in the pathogenesis of cancer. We also discuss the implications of these findings for the diagnosis and treatment of cancer.     

MicroRNA regulation of gene expression in plants

It has only been a few years since we began to appreciate that microRNAs provide an unanticipated level of gene regulation in both plants and metazoans. The high level of complementarity between plant microRNAs and their target mRNAs has allowed rapid progress towards the elucidation of their varied biological functions. MicroRNAs have been shown to regulate diverse developmental processes, including organ separation, polarity, and identity, and to modulate their own biogenesis and function. Recently, they have also been implicated in some processes outside of plant development.     

MicroRNA expression in the aging mouse thymus

MicroRNAs (miRNAs) have been implicated in the process of aging in many model organisms, such as Caenorhabditis elegans, and in many organs, such as the mouse lung and human epididymis. However, the role of miRNAs in the thymus tissues of the aging mouse remains unclear. To address this question, we investigated the miRNA expression profiles in the thymuses of 1-, 10- and 19-month-old mice using miRNA array and qRT-PCR assays. A total of 223 mouse miRNAs were screened, and the expression levels of those miRNAs exhibited gradual increases and decreases over the course of thymus aging. Fifty miRNAs in the 10-month-old thymus and 81 miRNAs in the 19-month-old thymus were defined as differentially expressed miRNAs (p < 0.05) in comparison with their levels in the 1-month-old mouse, and approximately one-third of these miRNAs were grouped within 11 miRNA clusters. Each miRNA cluster contained 2 to 5 miRNA genes, and most of the cluster members displayed similar expression patterns, being either increased or decreased. In addition, Ingenuity Pathway Analysis (IPA) software and the IPA database were used to analyze the 12 miRNAs that exhibited significant expression changes, revealing that as many as 15 pathways may be involved. Thus, our current study determined the expression profiles of miRNAs in the mouse thymus during the process of aging. The results suggested that these miRNAs could become meaningful biomarkers for studying thymus aging and that the aging-related alternations in miRNA expression may be involved in the regulation of cell proliferation, apoptosis, development and carcinogenesis/tumorigenesis.     

MicroRNA regulation and interspecific variation of gene expression

MicroRNAs (miRNAs) modulate expression of their target genes in various tissues and at different developmental stages, but it is unclear whether they drive cross-species variation in gene expression. By comparing data from mammal and fly species we found that the cross-species expression variation of miRNA targets is significantly lower than that of other genes. This implies that miRNAs can affect gene expression by reducing stochastic noise, buffering cross-species variation and constraining evolutionary gene expression variation.     

Mitochondrial genome reorganization characterizes various lineages of mesostigmatid mites (Acari: Parasitiformes)

Mesostigmata is an extremely diverse group of mites with more than 11,000 described species in 109 families. The complete mitochondrial (mt) genomes of five species of mesostigmatid mites from three families (Varroidae, Ologamasidae, Phytoseiidae) have been reported previously; all of them are rearranged or highly rearranged in gene order. However, it is unclear when mt genome reorganization occurred and how common it is in mesostigmatid mites. We sequenced the mt genomes of ten species of mesostigmatid mites from five more families (Blattisociidae, Diplogyniidae, Laelapidae, Macrochelidae, Parasitidae). We found that species in the families Diplogyniidae and Parasitidae have retained the ancestral mt genome organization of arthropods, which is in stark contrast to the highly rearranged mt genomes in the Phytoseiidae species. As in the Varroidae and Ologamasidae species, the mt genomes of the Blattisociidae, Macrochelidae and Laelapidae species are also rearranged but are less rearranged than in the Phytoseiidae species. Each of the six mesostigmatid families that have rearranged mt genomes is characterized by unique gene order not seen in other mesostigmatid families. Furthermore, the mt genome organization also differs among three genera of the Phytoseiidae, between two genera of the Laelapidae, and among three Macrocheles species of the Macrochelidae. Our results indicate that: (a) the most recent common ancestor of mesostigmatid mites likely retained the ancestral mt genome organization of arthropods; and (b) mt genome organization characterizes various lineages of mesostigmatid mites and provides a valuable source of information for understanding their phylogeny and evolution.     

Genetics of gene expression characterizes response to selective breeding for alcohol preference

Numerous selective breeding experiments have been performed with rodents, in an attempt to understand the genetic basis for innate differences in preference for alcohol consumption. Quantitative trait locus (QTL) analysis has been used to determine regions of the genome that are associated with the behavioral difference in alcohol preference/consumption. Recent work suggests that differences in gene expression represent a major genetic basis for complex traits. Therefore, the QTLs are likely to harbor regulatory regions (eQTLs) for the differentially expressed genes that are associated with the trait. In this study, we examined brain gene expression differences over generations of selection of the third replicate lines of high and low alcohol‐preferring (HAP3 and LAP3) mice, and determined regions of the genome that control the expression of these differentially expressed genes (_deeQTLs). We also determined eQTL regions (_rveQTLs) for genes that showed a decrease in variance of expression levels over the course of selection. We postulated that _deeQTLs that overlap with _rveQTLs, and also with phenotypic QTLs, represent genomic regions that are affected by the process of selection. These overlapping regions controlled the expression of candidate genes (that displayed differential expression and reduced variance of expression) for the predisposition to differences in alcohol consumption by the HAP3/LAP3 mice.