Analysis of differentially expressed genes in response to endogenous cytokinins during cotton leaf senescence

Cytokinins have been implicated in delaying leaf senescence. We previously generated transgenic cotton (Gossypium hirsutum L.) plants that harbor the Agrobacterium isopentenyl transferase gene (ipt) directed by a proteinase gene promoter. Here, we report that mRNAs were isolated from ipt cotton leaves and azygous leaves and were subsequently sequenced using Illumina Solexa technology. The sequence tags were searched against the TIGR database and the related gene expression profiles were compared resulting in the identification of 1 218 differentially expressed genes (DEGs): 719 up-regulated and 499 down-regulated. Analyzing the DEGs in the ipt cotton leaves showed that these genes belonged to four pathways: flavone biosynthesis, arginine and proline metabolism, glyoxylate and dicarboxylate metabolism, and RNA degradation. These pathways increased the activities of antioxidants, inhibited the effect of ethylene, and prevented degradation of macromolecules during senescence. The expression patterns of 17 genes were evaluated by real-time PCR and results were in agreement with the patterns of sequencing analysis. The identification of the DEGs may help us to understand a role of cytokinins in leaf senescence.     

Echinochloa Chloroplast Genomes: Insights into the Evolution and Taxonomic Identification of Two Weedy Species

The genus Echinochloa (Poaceae) includes numerous problematic weeds that cause the reduction of crop yield worldwide. To date, DNA sequence information is still limited in the genus Echinochloa. In this study, we completed the entire chloroplast genomes of two Echinochloa species (Echinochloa oryzicola and Echinochloa crus-galli) based on high-throughput sequencing data from their fresh green leaves. The two Echinochloa chloroplast genomes are 139,891 and 139,800 base pairs in length, respectively, and contain 131 protein-coding genes, 79 indels and 466 substitutions helpful for discrimination of the two species. The divergence between the genus Echinochloa and Panicum occurred about 21.6 million years ago, whereas the divergence between E. oryzicola and E. crus-galli chloroplast genes occurred about 3.3 million years ago. The two reported Echinochloa chloroplast genome sequences contribute to better understanding of the diversification of this genus.     

白化菠萝蜜茎2个蛋白激酶和4个转录因子家族分析

为探究蛋白激酶(PKs)和转录因子(TFs)在白化菠萝蜜(Artocarpus heterophyllus)幼苗茎次生生长中的表达变化,基于转录组数据对其差异表达基因(DEGs)进行预测及分类,并对挑选出的2个PKs和4个TFs家族构建系统进化树。结果表明,胞质类受体激酶(RLCK)-VIII家族的DEGs上下调表达各4个,亮氨酸富集重复类受体激酶(LRR-RLK)-X家族Xa和Xb-2分支中的DEGs均下调表达,Xb-1中的均上调,TCP家族的20个DEGs中有15个上调表达,zf-HD和GRF家族中的大多数DEGs上调表达,Alfin-like家族中的DEGs均下调表达。因此,这表明6个家族可能在菠萝蜜茎的次生生长过程和应对非生物胁迫中发挥重要作用。     

Uncovering the pathogenesis and identifying novel targets of pancreatic cancer using bioinformatics approach

Pancreatic cancer is a uniformly lethal disease that can be difficult to diagnose at its early stage. Thus, our present study aimed to explore the underlying mechanism and identify new targets for this disease. The data GSE16515, including 36 tumor and 16 normal samples were available from Gene Expression Omnibus. Differentially expressed genes (DEGs) were screened out using Robust Multichip Averaging and LIMMA package. Moreover, gene ontology and pathway enrichment analyses were performed to DEGs. Followed with protein–protein interaction (PPI) network construction by STRING and Cytoscape, module analysis was conducted using ClusterONE. Finally, based on PubMed, text mining about these DEGs was carried out. Total 274 up-regulated and 93 down-regulated genes were identified as the common DEGs and these genes were discovered significantly enriched in cell adhesion and extracellular region terms, as well as ECM-receptor interaction pathway. In addition, five modules were screened out from the up-regulated PPI network with none in down-regulated network. Finally, the up-regulated genes, including MIA, MET and CEACAMS, and down-regulated genes, such as FGF, INS and LAPP, had the most references in text mining analysis. Our findings demonstrate that the up- and down-regulated genes play important roles in pancreatic cancer development and might be new targets for the therapy.     

生物膜形成中间状态下副溶血弧菌的基因转录谱分析

【目的】探究生物膜形成中间状态下副溶血弧菌的差异基因表达情况,为今后研究生物膜形成调控机制提供基因信息。【方法】以非生物膜形成条件下为参照,采用Illumina HiSeq测序平台进行转录组测序（RNA sequencing,RNA-seq）研究,分析生物膜形成中间状态下副溶血弧菌的基因表达情况,并采用实时定量PCR （quantitative real-time PCR,qPCR）进行验证。【结果】本研究共获得979个差异显著性表达基因（differentially expressed gene,DEG）,其中下调基因379个,上调基因600个。基因本体（gene ontology,GO）分类分析结果显示,共有363个DEGs注释到分子功能、细胞组分和生物学过程3个一级分类和30个二级分类;京都基因和基因组百科全书（Kyoto encyclopedia of genes and genomes,KEGG）代谢途径分析结果显示,共有706个DEGs归到37个代谢通路中（Q value<0.05）,差异表达基因主要集中在细胞代谢和转运通路上;蛋白相邻类的聚簇（clusters of orthologous groups,COG）分类结果显示,有888个DEGs可归为20个类别,涉及DEGs最多的为氨基酸转运与代谢、一般功能预测基因、能量产生与转换以及未知功能基因。qPCR验证挑选的DEGs变化趋势均与RNA-seq的结果一致。此外,从转录组数据中共筛选出10个c-di-GMP代谢相关基因、1个侧生鞭毛蛋白基因（lafA）、13个极生鞭毛合成相关基因、6个荚膜多糖合成相关基因、6个胞外多糖合成相关基因、5个IV型菌毛合成相关基因、膜融合蛋白（membrane fusion protein,Mfp）基因（cpsQ-mfpABC）、14个III型分泌系统1（T3SS1）相关基因、14个Vp-PAI基因（1个tdh2和13个T3SS2基因）、3个VI型分泌系统1（T6SS1）相关基因、6个T6SS2基因、45个推定调控子基因和15个推定的外膜蛋白基因。【结论】生物膜形成引起副溶血弧菌基因表达谱发生明显变化,差异表达基因中包含生物膜形成相关基因、关键毒力基因和许多推定调控子基因等,这为后续研究生物膜形成调控机制提供重要信息。