Global identification, structural analysis and expression characterization of bHLH transcription factors in wheat.

BACKGROUND: Basic helix-loop-helix (bHLH) transcription factors (TFs), which are widely distributed in eukaryotic organisms, play crucial roles in plant development. However, no comprehensive analysis of the bHLH family in wheat (Triticum aestivum L.) has been undertaken previously. RESULTS: In this study, 225 bHLH TFs predicted from wheat using genomic and RNA sequencing data were subjected to identification, classification, phylogenetic reconstruction, conserved motif characterization, chromosomal distribution determination and expression pattern analysis. One basic region, two helix regions and one loop region were found to be conserved in wheat bHLH TFs. The bHLH proteins could be separated into four categories based on sequences in their basic regions. Neighbor-joining-based phylogenetic analysis of conserved bHLH domains from wheat, Arabidopsis and rice identified 26 subfamilies of bHLH TFs, of which 23 were found in wheat. A total of 82 wheat bHLH genes had orthologs in Arabidopsis (27 TFs), rice (28 TFs) and both of them (27 TFs). Seven tissue-specific bHLH TF clusters were identified according to their expression patterns in endosperm, aleurone, seedlings, heading-stage spikes, flag leaves, shoots and roots. Expression levels of six endosperm-specifically expressed TFs measured by qPCR and RNA-seq showed a good correlation. CONCLUSION: The 225 bHLH transcription factors identified from wheat could be classed into 23 subfamilies, and those members from the same subfamily with similar sequence motifs generally have similar expression patterns.

Identification and positional distribution analysis of transcription factor binding sites for genes from the wheat fl-cDNA sequences.

The binding sites of transcription factors (TFs) in upstream DNA regions are called transcription factor binding sites (TFBSs). TFBSs are important elements for regulating gene expression. To date, there have been few studies on the profiles of TFBSs in plants. In total, 4,873 sequences with 5' upstream regions from 8530 wheat fl-cDNA sequences were used to predict TFBSs. We found 4572 TFBSs for the MADS TF family, which was twice as many as for bHLH (1951), B3 (1951), HB superfamily (1914), ERF (1820), and AP2/ERF (1725) TFs, and was approximately four times higher than the remaining TFBS types. The percentage of TFBSs and TF members showed a distinct distribution in different tissues. Overall, the distribution of TFBSs in the upstream regions of wheat fl-cDNA sequences had significant difference. Meanwhile, high frequencies of some types of TFBSs were found in specific regions in the upstream sequences. Both TFs and fl-cDNA with TFBSs predicted in the same tissues exhibited specific distribution preferences for regulating gene expression. The tissue-specific analysis of TFs and fl-cDNA with TFBSs provides useful information for functional research, and can be used to identify relationships between tissue-specific TFs and fl-cDNA with TFBSs. Moreover, the positional distribution of TFBSs indicates that some types of wheat TFBS have different positional distribution preferences in the upstream regions of genes.

Genome-wide characterization of developmental stage- and tissue-specific transcription factors in wheat.

BACKGROUND: Wheat (Triticum aestivum) is one of the most important cereal crops, providing food for humans and feed for other animals. However, its productivity is challenged by various biotic and abiotic stresses such as fungal diseases, insects, drought, salinity, and cold. Transcription factors (TFs) regulate gene expression in different tissues and at various developmental stages in plants and animals, and they can be identified and classified into families according to their structural and specialized DNA-binding domains (DBDs). Transcription factors are important regulatory components of the genome, and are the main targets for engineering stress tolerance. RESULTS: In total, 2407 putative TFs were identified from wheat expressed sequence tags, and then classified into 63 families by using Hmm searches against hidden Markov model (HMM) profiles. In this study, 2407 TFs represented approximately 2.22% of all genes in the wheat genome, a smaller proportion than those reported for other cereals in PlantTFDB V3.0 (3.33%-5.86%) and PlnTFDB (4.30%-6.46%). We assembled information from the various databases for individual TFs, including annotations and details of their developmental stage- and tissue-specific expression patterns. Based on this information, we identified 1257 developmental stage-specific TFs and 1104 tissue-specific TFs, accounting for 52.22% and 45.87% of the 2407 wheat TFs, respectively. We identified 338, 269, 262, 175, 49, and 18 tissue-specific TFs in the flower, seed, root, leaf, stem, and crown, respectively. There were 100, 6, 342, 141, 390, and 278 TFs specifically expressed at the dormant seed, germinating seed, reproductive, ripening, seedling, and vegetative stages, respectively. We constructed a comprehensive database of wheat TFs, designated as WheatTFDB ( http://xms.sicau.edu.cn/wheatTFDB/ ). CONCLUSIONS: Approximately 2.22% (2407 genes) of all genes in the wheat genome were identified as TFs, and were clustered into 63 TF families. We identified 1257 developmental stage-specific TFs and 1104 tissue-specific TFs, based on information about their developmental- and tissue-specific expression patterns obtained from publicly available gene expression databases. The 2407 wheat TFs and their annotations are summarized in our database, WheatTFDB. These data will be useful identifying target TFs involved in the stress response at a particular stage of development.

Four new species of Ditrigona Moore (Lepidoptera, Drepanidae) in China and an annotated catalogue.

The Chinese species of the genus Ditrigona Moore, 1888 are reviewed and an annotated catalogue is provided. Four new species are described from China: Ditrigonasinespina Jiang & Han, sp. nov., Ditrigonaparva Jiang & Han, sp. nov., Ditrigonaconcava Guo & Han, sp. nov., and Ditrigonafusca Guo & Han, sp. nov. Derocacrystalla Chu & Wang, 1987 and Auzatellapentesticha Chu & Wang, 1987 are newly combined into, respectively, the derocina and quinaria species groups of Ditrigona. Ditrigonadiana Wilkinson is newly recorded in China. This results in 43 species of Ditrigona for the fauna of China. Illustrations of habitus and genitalia of the new species and most known species are presented.

Aureochaeglobosins A-C, Three [4 + 2] Adducts of Chaetoglobosin and Aureonitol Derivatives from Chaetomium globosum.

Aureochaeglobosins A-C (1-3), three novel [4 + 2] cycloaddition heterodimers of chaetoglobosin and aureonitol derivatives, were obtained from the culture of endophytic fungus Chaetomium globosum, representing the first adduct examples of chaetoglobosins. Their structures were elucidated by extensive spectroscopic analyses, single-crystal X-ray diffraction, and a modified Mosher's method. Compounds 2 and 3 showed significant cytotoxicities against human MDA-MB-231 cancer cells with IC50 values of 7.6 and 10.8 µM, respectively.

Significant association of alpha-methylacyl-CoA racemase gene polymorphisms with susceptibility to prostate cancer: a meta-analysis.

BACKGROUND: Alpha-methylacyl-CoA racemase(AMACR) is thought to play key roles in diagnosis and prognosis of prostate cancer. However, studies of associations between AMACR gene polymorphisms and prostate cancer risk reported inconsistent results. Therefore, we conducted the present meta-analysis to clarify the link between AMACR gene polymorphisms and prostate cancer risk. MATERIALS AND METHODS: A literature search was performed in PubMed, Embase, China National Knowledge Infrastructure (CNKI), Wanfang and Weipu databases. Odds ratios (ORs) and 95% confidence intervals (95%CIs) were calculated to assess the strength of any association between AMACR polymorphisms and prostate cancer risk. Subgroup analyses by ethnicity, source of controls, quality control and sample size were also conducted. RESULTS: Five studies covering 3,313 cases and 3,676 controls on five polymorphisms (D175G, M9V, S201L, K277E and Q239H) were included in this meta-analysis. Significant associations were detected between prostate cancer and D175G (dominant model: OR=0.89, 95%CI=0.80-0.99, P=0.04) and M9V (dominant model: OR=0.87, 95%CI=0.78-0.97, P=0.01) polymorphisms as well as that in subgroup analyses. We also observed significant decreased prostate cancer risk in the dominant model (OR=0.90, 95%CI=0.81-0.99, P=0.04) for the S201L polymorphism. However, K277E and Q239H polymorphisms did not appear to be related to prostate cancer risk. CONCLUSIONS: The current meta- analysis indicated that D175G and M9V polymorphisms of the AMACR gene are related to prostate cancer. The S201L polymorphism might also be linked with prostate cancer risk to some extent. However, no association was observed between K277E or Q239H polymorphisms and susceptibility to prostate cancer.

Angiotensin-converting enzyme insertion/deletion polymorphism and gastric cancer: a systematic review and meta-analysis.

BACKGROUND AND OBJECTIVE: Several studies were launched to investigate the potential function of ACE I/D polymorphism in gastric cancer development and prognosis, but no conclusive results have been obtained. We conducted a systematic review and meta-analysis to evaluate the association between ACE I/D polymorphism and gastric cancer. METHODS: A systemic search was performed in PubMed, Embase, China National Knowledge Infrastructure (CNKI), Wanfang and Weipu databases (until October 15,2013) to identify all published records on association between the ACE I/D polymorphism and gastric cancer. We adopted the odds ratio (OR) and 95% confidence interval (95%CI) as measure of effect. Meta-analysis was conducted using fixed/random-effects model in STATA 12.0. RESULTS: Eventually a total of seven studies with 1392 cases and 2951 controls were included in our meta-analysis. No association was detected between ACE I/D polymorphism and gastric cancer susceptibility (DI+DD vs II: OR=1.06, 95%CI=0.92-1.21, P=0.443). However, we found that the DD genotype was significantly associated with increased lymph node metastasis (DD vs DI+II: OR=3.48, CI=1.77-6.85, P<0.001), and more advanced clinical stage (DD vs DI+II: OR=2.43, CI=1.34-4.39, P=0.003) of gastric cancer. CONCLUSION: Our results indicated that ACE I/D polymorphism could not be directly associated with gastric cancer susceptibility, but might play important role in gastric cancer prognosis. Future studies with larger sample size are warranted for further evaluation.