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2010 Vol. 37, No. 4

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Research article
A comparative genomic analysis of plant hormone related genes in different species
Zhiqiang Jiang, Hongwei Guo
2010, 37(4): 219-230. doi: 10.1016/S1673-8527(09)60040-0
Abstract (59) HTML PDF (0)
Abstract:
Plant hormones are small molecules that play important roles throughout the life span of a plant, known as auxin, gibberellin, cytokinin, abscisic acid, ethylene, jasmonic acid, salicylic acid, and brassinosteroid. Genetic and molecular studies in the model organism Arabidopsis thaliana have revealed the individual pathways of various plant hormone responses. In this study, we selected 479 genes that were convincingly associated with various hormone actions based on genetic evidence. By using these 479 genes as queries, a genome-wide search for their orthologues in several species (microorganisms, plants and animals) was performed. Meanwhile, a comparative analysis was conducted to evaluate their evolutionary relationship. Our analysis revealed that the metabolisms and functions of plant hormones are generally more sophisticated and diversified in higher plant species. In particular, we found that several phytohormone receptors and key signaling components were not present in lower plants or animals. Meanwhile, as the genome complexity increases, the orthologue genes tend to have more copies and probably gain more diverse functions. Our study attempts to introduce the classification and phylogenic analysis of phytohormone related genes, from metabolism enzymes to receptors and signaling components, in different species.
Analysis of QTLs for erucic acid and oil content in seeds on A8 chromosome and the linkage drag between the alleles for the two traits in Brassica napus
Zhengying Cao, Fang Tian, Nian Wang, Congcong Jiang, Bing Lin, Wei Xia, Jiaqin Shi, Yan Long, Chunyu Zhang, Jinling Meng
2010, 37(4): 231-240. doi: 10.1016/S1673-8527(09)60041-2
Abstract (63) HTML PDF (0)
Abstract:
The history of canola breeding began with the discovery of germplasm with low erucic acid content in seeds of spring forage cultivar in the 1950's. FAE1 mutations led to a dramatic decrease of the seed erucic acid content in Arabidopsis thaliana. The products of the two FAE1 loci, BnA8.FAE1 and BnC3.FAE1, showed additive effects to the level of erucic acid content in oilseed rape. Previous research believed that the pleiotropy of FAE1 was responsible for the decrease in seed oil content along with the reduction of seed erucic acid content in the modern cultivars. TN DH population was developed from a canola cultivar Tapidor and a Chinese traditional cultivar Ningyou7. The population had been tested in 10 and 11 environments to map QTLs for the erucic acid content and oil content in seeds. As the map resolution increased, a novel QTL for seed erucic acid content was revealed, after Meta-analysis, 7 cM away from the most significant seed erucic acid content QTL where BnA8.FAE1 is located. Seven independent QTLs for seed oil content (qOC) were detected around the two seed erucic acid content QTLs (qEA) across 39.20 cM on linkage group A8. Two of the qOCs co-localized with the two qEAs, respectively, and were detected in a single environment. The other five qOCs were detected in 10 of 11 environments independent of qEAs. Alleles from Tapidor in all the QTLs at the 0–39.20 cM region contributed negative effects to either erucic acid content or oil content in seeds. Parallel, genotyping showed that on 5 of the 7 QTLs regions, Tapidor alleles had the same genotypes with that in ‘Liho’, the original low seed erucic acid content source. Through rounds of crossbreeding with oil-cropped cultivars and intensive selection for multi generations, Tapidor still had the inferior alleles for low seed oil content from ‘Liho’, the forage rape. This showed a strong linkage drag of low seed oil content, which was controlled by the five qEA-independent qOCs, with low seed erucic acid content. Ninety cultivars of B. napus from 8 countries were used to analyze the genetic drag with 9 molecular markers located in the QTL confidence intervals (24.04 cM) on linkage group A8. It was noticed that more than 46% of the cultivars with low seed erucic acid content trait remained the genotype of low seed oil content at least in one locus. Backcross and marker-assisted selection could break the genetic drag between the low oil content and erucic acid in seeds in the process for breeding modern high seed oil content canola cultivars.
SNL fibroblast feeder layers support derivation and maintenance of human induced pluripotent stem cells
Chuanying Pan, Amy Hicks, Xuan Guan, Hong Chen, Colin E. Bishop
2010, 37(4): 241-248. doi: 10.1016/S1673-8527(09)60042-4
Abstract (66) HTML PDF (0)
Abstract:
Induced pluripotent stem (iPS) cells can be derived from human somatic cells by cellular reprogramming. This technology provides a potential source of non-controversial therapeutic cells for tissue repair, drug discovery, and opportunities for studying the molecular basis of human disease. Normally, mouse embryonic fibroblasts (MEFs) are used as feeder layers in the initial derivation of iPS lines. The purpose of this study was to determine whether SNL fibroblasts can be used to support the growth of human iPS cells reprogrammed from somatic cells using lentiviral expressed reprogramming factors. In our study, iPS cells expressed common pluripotency markers, displayed human embryonic stem cells (hESCs) morphology and unmethylated promoters ofNANOG and OCT4. These data demonstrate that SNL feeder cells can support the derivation and maintenance of human iPS cells.
hSHIP induces S-phase arrest and growth inhibition in cervical cancer HeLa cells
Kangxia He, Jie He, Shengyu Wang, Jianghua Yan
2010, 37(4): 249-255. doi: 10.1016/S1673-8527(09)60043-6
Abstract (68) HTML PDF (0)
Abstract:
hSHIP, a human SH2-containing inositol-5-phosphatase, acts as a negative regulator of proliferation and survival in hematopoietic cells. Therefore, hSHIP may play a crucial role in suppression of cervical cancer HeLa cells. In this study, pcDNA3.1-hSHIP-GFP plasmid was constructed and transfected into HeLa cells with Lipofectamine2000, stably transfected HeLa cells were established and their responses were investigated by Flow cytometry, MTT, tumorigenicity in nude mice, RT-PCR and ELISA assays. The results showed that the expression of hSHIP significantly induced S-phase arrest, cell growth inhibition, and down-regulation of Akt1/2 mRNA and p-Akt in HeLa cells. Our study supports an important role for hSHIP in suppression of cervical cancer HeLa cells, which may prove to be a novel therapeutic option for non-hematopoietic cancers.
Analysis of MIF, FCGR2A and FCGR3A gene polymorphisms with susceptibility to pulmonary tuberculosis in Moroccan population
Khalid Sadki, Hoda Lamsyah, Blanca Rueda, ELmahfoud Akil, Abderrahim Sadak, Javier Martin, Rajae El Aouad
2010, 37(4): 257-264. doi: 10.1016/S1673-8527(09)60044-8
Abstract (86) HTML PDF (1)
Abstract:
In order to investigate the influence of functional polymorphisms of macrophage migration inhibitory factor (MIF), Fcg receptors CD16A (FCGR3A) and CD32A (FCGR2A) genes on susceptibility to pulmonary tuberculosis (PTB) in the Moroccan population, we analyzed 123 patients with PTB and 154 healthy controls. The genotyping for MIF–173 (G/C) (rs755622), FCGR2A-131H/R (rs1801274) and FCGR3A-158V/F (rs396991) was carried out using TaqMan SNP Genotyping Assay method. We found a statistically significant increase of the MIF −173CC homozygote genotype and MIF −173*C allele frequencies in PTB patients compared with healthy controls (17.07% versus 5.84%, P = 0.003; and 35.37% versus 26.30%, P = 0.02; respectively). In contrast, no association was observed between FCGR2A-131H/R and FCGR3A-158V/F polymorphisms and tuberculosis disease. Our finding suggests that MIF −173*C variant may play an important role in the development of active tuberculosis.
Use of signal quality measurements to gain efficiency in the analysis of cDNA microarray data
Tracy L Bergemann
2010, 37(4): 265-279. doi: 10.1016/S1673-8527(09)60045-X
Abstract (81) HTML PDF (0)
Abstract:
This research provides a new way to measure error in microarray data in order to improve gene expression analysis. Microarray data contains many sources of error. In order to glean information about mRNA expression levels, the true signal must first be segregated from noise. This research focuses on the variation that can be captured at the spot level in cDNA microarray images. Variation at other levels, due to differences at the array, dye, and block levels, can be corrected for by a variety of existing normalization procedures. Two signal quality estimates that capture the reliability of each spot printed on a microarray are described. A parametric estimate of within-spot variance, referred to here as σ2spot, assumes that pixels follow a normal distribution and are spatially correlated. A non-parametric estimate of error, called the mean square prediction error (MSPE), assumes that spots of high quality possess pixels that are similar to their neighbors. This paper will provide a framework to use either spot quality measure in downstream analysis, specifically as weights in regression models. Using these spot quality estimates as weights can result in greater efficiency, in a statistical sense, when modeling microarray data.