Cooperation and functional diversification of two closely related galactolipase genes for jasmonate biosynthesis

Jasmonic acid (JA) plays pivotal roles in diverse plant biological processes, including wound response. Chloroplast lipid hydrolysis is a critical step for JA biosynthesis, but the mechanism of this process remains elusive. We report here that DONGLE (DGL), a homolog of DEFECTIVE IN ANTHER DEHISCENCE1 (DAD1), encodes a chloroplast-targeted lipase with strong galactolipase and weak phospholipase A(1) activity. DGL is expressed in the leaves and has a specific role in maintaining basal JA content under normal conditions, and this expression regulates vegetative growth and is required for a rapid JA burst after wounding. During wounding, DGL and DAD1 have partially redundant functions for JA production, but they show different induction kinetics, indicating temporally separated roles: DGL plays a role in the early phase of JA production, and DAD1 plays a role in the late phase of JA production. Whereas DGL and DAD1 are necessary and sufficient for JA production, phospholipase D appears to modulate wound response by stimulating DGL and DAD1 expression.     

ORTom: a multi-species approach based on conserved co-expression to identify putative functional relationships among genes in tomato

Co-expressed genes are often expected to be functionally related and many bioinformatics approaches based on co-expression have been developed to infer their biological role. However, such annotations may be unreliable, whereas the evolutionary conservation of gene co-expression among species may form a basis for more confident predictions. The huge amount of expression data (microarrays, SAGE, ESTs) has already allowed functional studies based on conserved co-expression in animals. Up to now, the implementation of analogous tools for plants has been strongly limited probably by the paucity and heterogeneity of data. Here we present ORTom, a tomato-centred EST data-mining approach based on conserved co-expression in the Solanaceae family. ORTom can be used to predict functional relationships among genes and to prioritize candidate genes for targeted studies. The method consists in ranking ESTs co-expressed with a gene of interest according to the level of expression pattern conservation in phylogenetically-related plants (potato, tobacco and pepper) to obtain lists of putative functionally-related genes. The lists are then analyzed for Gene Ontology keyword enrichment. The web server ORTom has been implemented to make the results publicly-available and searchable. Few biological examples on how the tool can be used are presented.     

Auxin biosynthesis by the YUCCA genes in rice

Although indole-3-acetic acid (IAA), the predominant auxin in plants, plays a critical role in various plant growth and developmental processes, its biosynthesis and regulation have not been clearly elucidated. To investigate the molecular mechanisms of IAA synthesis in rice (Oryza sativa), we identified seven YUCCA-like genes (named OsYUCCA1-7) in the rice genome. Plants overexpressing OsYUCCA1 exhibited increased IAA levels and characteristic auxin overproduction phenotypes, whereas plants expressing antisense OsYUCCA1 cDNA displayed defects that are similar to those of rice auxin-insensitive mutants. OsYUCCA1 was expressed in almost all of the organs tested, but its expression was restricted to discrete areas, including the tips of leaves, roots, and vascular tissues, where it overlapped with expression of a beta-glucuronidase reporter gene controlled by the auxin-responsive DR5 promoter. These observations are consistent with an important role for the rice enzyme OsYUCCA1 in IAA biosynthesis via the tryptophan-dependent pathway.     

基于金针菇全基因组的赖氨酸合成途径关键酶分析

【目的】以金针菇全基因组测序数据为基础研究其L-赖氨酸的从头合成途径及其关键基因。【方法】采用Illumina Hiseq2000和Roche454 FLX+两种方法完成金针菇单孢菌株Dan3的基因组测序,基于全基因组序列筛选金针菇中赖氨酸生物合成的关键基因,并分析这些基因编码的蛋白质基本理化性质;预测其亚细胞定位情况及蛋白的二级结构。【结果】金针菇Dan3全基因组序列长度为34.17 Mb,预测到8个参与α-氨基己二酸途径的关键基因,这些基因都含有多个内含子和外显子,二级结构主要由α-螺旋和无规则卷曲组成,有3个蛋白定位于线粒体。【结论】金针菇是通过α-氨基己二酸途径合成赖氨酸,基因组中预测到与该途径相关的几乎所有的酶。     

Identification of functional candidate genes for drought tolerance in rice

Drought tolerance (DT) in rice is known to be controlled by many quantitative trait loci (QTLs) and involved differential expression of large numbers of genes, but linking QTLs with their underlying genes remains the most challenging issue in plant molecular biology. To shed some light on this issue, differential gene expression in response to PEG simulated drought in 3 unique genetic materials (a lowland rice, IR64 and its derived line, PD86 which has 11 introgressed DT QTLs, and a upland rice IRAT109) was investigated using a PCR-based subtractive hybridization strategy. More than 300 unique subtracted cDNA sequences, covering genes of diverse cellular activities and functions, were identified and confirmed by semi-quantitative and quantitative RT-PCR. Detailed bioinformatics analyses of the data revealed two interesting results. First, the levels and mechanisms of DT of the three rice lines were associated with the number and types of differentially expressed genes, suggesting different DT mechanisms in rice are controlled by different sets of genes and different metabolic pathways, and most differentially expressed genes under drought were able to contribute to DT. Second, there appeared a high correspondence in genomic location between DT QTLs and clusters of differentially expressed genes in rice, suggesting some DT QTLs may represent clusters of co-regulated and functionally related genes. Thus, differential gene expression analyses using genetically characterized materials can provide additional insights into the molecular basis of QTLs and convergent evidence to shortlist the candidate genes for target QTLs. Electronic supplementary material The online version of this article (doi:) contains supplementary material, which is available to authorized users. Bin-Ying Fu and Jian-Hua Xiong are contributed to this work equally.     

Independent component analysis based gene co-expression network inference (ICAnet) to decipher functional modules for better single-cell clustering and batch integration

With the tremendous increase of publicly available single-cell RNA-sequencing (scRNA-seq) datasets, bioinformatics methods based on gene co-expression network are becoming efficient tools for analyzing scRNA-seq data, improving cell type prediction accuracy and in turn facilitating biological discovery. However, the current methods are mainly based on overall co-expression correlation and overlook co-expression that exists in only a subset of cells, thus fail to discover certain rare cell types and sensitive to batch effect. Here, we developed independent component analysis-based gene co-expression network inference (ICAnet) that decomposed scRNA-seq data into a series of independent gene expression components and inferred co-expression modules, which improved cell clustering and rare cell-type discovery. ICAnet showed efficient performance for cell clustering and batch integration using scRNA-seq datasets spanning multiple cells/tissues/donors/library types. It works stably on datasets produced by different library construction strategies and with different sequencing depths and cell numbers. We demonstrated the capability of ICAnet to discover rare cell types in multiple independent scRNA-seq datasets from different sources. Importantly, the identified modules activated in acute myeloid leukemia scRNA-seq datasets have the potential to serve as new diagnostic markers. Thus, ICAnet is a competitive tool for cell clustering and biological interpretations of single-cell RNA-seq data analysis.     

基于已知疾病基因构建共表达网络识别胃癌进展及预后相关非编码基因

本研究旨在总结整理已有胃癌研究的基础上,进一步挖掘出非编码基因在胃癌的进展及预后中起的关键作用。通过胃癌患者编码及非编码基因的表达数据,结合已知胃癌致病基因,进行编码基因与非编码基因的共表达计算,识别出由miRNA介导的并且与已知胃癌基因互作的lncRNA,挖掘出三者(mRNA-miRNA-lncRNA)相互作用的模块,进而对模块进行筛选,并对疾病相关的显著模块的基因进行生存分析。除已知的胃癌相关基因外,研究也使用了差异表达的胃癌基因,这些基因显著的富集在细胞增殖、细胞粘附、肌肉收缩、血管重塑、细胞分裂、染色体分离等生物过程,这些生物过程都与胃的基础功能及胃癌发生发展密切相关。分值最高的三元组模块内核心基因BGN在胃癌患者中显著高表达,而且和胃癌患者的预后显著相关;同时也发现该模块内的miRNA has-miRNA-153-5p和has-miRNA-5001-5p均为已证实的胃癌相关基因;模块内的mRNA和miRNA的表达异常可能是由于与他们显著相关的lncRNA的表达异常导致的。本研究为胃癌已知致病基因的表达异常研究找到了新突破口,潜在的胃癌相关的非编码基因的发现为胃癌预防与治疗提供了新的靶点,为未来的临床应用提供了依据。     

Functional characterization of key structural genes in rice flavonoid biosynthesis

Rice is a model system for monocot but the molecular features of rice flavonoid biosynthesis have not been extensively characterized. Rice structural gene homologs encoding chalcone synthase (CHS), chalcone isomerase (CHI), flavanone 3-hydroxylase (F3H), flavonoid 3′-hydroxylase (F3′H), dihydroflavonol 4-reductase (DFR), and anthocyanidin synthase (ANS) were identified by homology searches. Unique differential expression of OsF3H, OsDFR, and OsANS1 controlled by the Pl ^w locus, which contains the R/B-type regulatory genes OSB1 and OSB2, was demonstrated during light-induced anthocyanin accumulation in T65-Plw seedlings. Previously, F3H genes were often considered as early genes co-regulated with CHS and CHI genes in other plants. In selected non-pigmented rice lines, OSB2 is not expressed following illumination while their expressed OSB1sequences all contain the same nucleotide change leading to the T⁶⁴ M substitution within the conserved N-terminal interacting domain. Furthermore, the biochemical roles of the expressed rice structural genes (OsCHS1, OsCHI, OsF3H, and OsF3′H) were established in planta for the first time by complementation in the appropriate Arabidopsis transparent testa mutants. Using yeast two-hybrid analysis, OsCHS1 was demonstrated to interact physically with OsF3H, OsF3′H, OsDFR, and OsANS1, suggesting the existence of a macromolecular complex for anthocyanin biosynthesis in rice. Finally, flavones were identified as the major flavonoid class in the non-pigmented T65 seedlings in which the single-copy OsF3H gene was not expressed. Competition between flavone and anthocyanin pathways was evidenced by the significant reduction of tricin accumulation in the T65-Plw seedlings. Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.     

Construction of co-expression modules related to survival by WGCNA and identification of potential prognostic biomarkers in glioblastoma

Glioblastoma (GBM) is a malignant brain tumour with poor prognosis. The potential pathogenesis and therapeutic target are still need to be explored. Herein, TCGA expression profile data and clinical information were downloaded, and the WGCNA was conducted. Hub genes which closely related to poor prognosis of GBM were obtained. Further, the relationship between the genes of interest and prognosis of GBM, and immune microenvironment were analysed. Patients from TCGA were divided into high- and low-risk group. WGCNA was applied to the high- and low-risk group and the black module with the lowest preservation was identified which could distinguish the prognosis level of these two groups. The top 10 hub genes which were closely related to poor prognosis of patients were obtained. GO analysis showed the biological process of these genes mainly enriched in: Cell cycle, Progesterone-mediated oocyte maturation and Oocyte meiosis. CDCA5 and CDCA8 were screened out as the genes of interest. We found that their expression levels were closely related to overall survival. The difference analysis resulted from the TCGA database proved both CDCA5 and CDCA8 were highly expressed in GBM. After transfection of U87-MG cells with small interfering RNA, it revealed that knockdown of the CDCA5 and CDCA8 could influence the biological behaviours of proliferation, clonogenicity and apoptosis of GBM cells. Then, single-gene analysis was performed. CDCA5 and CDCA8 both had good correlations with genes that regulate cell cycle in the p53 signalling pathway. Moreover, it revealed that high amplification of CDCA5 was correlated with CD8⁺ T cells while CDCA8 with CD4⁺ T cells in GBM. These results might provide new molecular targets and intervention strategy for GBM.     

基于共进化基因功能模块发现候选癌基因

癌基因组的体细胞突变扫查数据为研究人员发现新的癌基因提供了大量的信息。已有的通过基因突变频率寻找候选癌基因的方法倾向于发现突变频率较高的癌基因,但是部分低频率突变的基因也可能在癌症发生过程中发挥重要作用。具有相似系统发生谱并且具有蛋白互作关系的基因可能具有相似的功能,它们的损伤可能会导致相同或相似的疾病表型。基于这一假设,文章提出了一种发现候选癌基因的新方法。首先,寻找具有相似系统发生谱的蛋白质互作子网,定义为共进化基因模块;然后,在癌基因组中发生至少一次非同义体细胞突变的基因中,筛选出与已知癌基因在同一共进化模块并具有直接相互作用的基因,预测为候选癌基因。据此,文章共预测了15个候选癌基因,其中只有2个基因在以往的工作中通过基于高突变频率的方法被识别为癌基因。因此,该方法可以有效地发现突变频率低的候选癌基因。     

Development of SNP-based CAPS and dCAPS markers in eight different genes involved in starch biosynthesis in rice

Single nucleotide polymorphisms (SNPs), which are inexhaustible, highly stable, and simply detectable sequence polymorphisms, can lead to phenotypic variations by affecting protein composition changes. Here, we report development of 25 new cleaved amplified polymorphic sequence or derived cleaved amplified polymorphic sequence markers that have discrete band sizes in relation to the SNP genotypes in eight putative gene regions. The average frequency of DNA polymorphisms was 1 per 175 bp (SNPs, 1 per 217 bp; In/dels, 1 per 906 bp). In primary statistical analysis of each marker on 55 diverse rice accessions, including different ecotypes, the mean value of the major allele frequency was 0.658 (0.509–0.927). The average polymorphism information content was 0.326 (0.126–0.375). The mean value of the inbreeding coefficient (f) was 0.950 and was positive (heterozygote deficiency) at all loci, corresponding to the inbreeding system in rice. In cluster analysis, all rice accessions clustered mainly into three groups according to the ecotypes. The association analysis showed that the SNP of Granule-bound starch synthase I and ADP-glucose pyrophosphorylase small subunit (ADPase-S) genes were highly associated with apparent amylose content variation than the others. These new SNP markers may be useful in genotyping rice germplasm, in marker-assisted selection for improving starch quality and content, and in linkage as well as association studies. Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.