Background: Endophytic fungi are known plant symbionts. They produce a variety of beneficial metabolites for plant growth and survival, as well as defend their hosts from attack of certain pathogens. Coastal dunes are nutrient deficient and offer harsh, saline environment for the existing flora and fauna. Endophytic fungi may play an important role in plant survival by enhancing nutrient uptake and producing growth-promoting metabolites such as gibberellins and auxins. We screened roots of Ixeris repenes (L.) A. Gray, a common dune plant, for the isolation of gibberellin secreting endophytic fungi.

The proteins harboring RING finger motif(s) have been shown to mediate protein-protein interactions that are relevant to a variety of cellular processes. In an effort to elucidate the evolutionary dynamics of the rice RING finger protein family, we have attempted to determine their genomic locations, expression diversity, and co-expressed genes via in silico analysis and semi-quantitative RT-PCR. A total of 425 retrieved genes appear to be distributed over all 12 of the chromosomes of rice with different distributions, and are reflective of the evolutionary dynamics of the rice genome. A genome-wide dataset harboring 155 gene expression omnibus sample plates evidenced some degree of differential evolutionary fates between members of RING-H2 and RING-HC types. Additionally, responses to abiotic stresses, such as salinity and drought, demonstrated that some degree of expression diversity existed between members of the RING finger protein genes. Interestingly, we determined that one RING-H2 finger protein gene (Os04g51400) manifested striking differences in expression patterns in response to abiotic stresses between leaf and culm-node tissues, further revealing responses highly similar to the majority of randomly selected co-expressed genes. The gene network of genes co-expressed with Os04g51400 may suggest some role in the salt response of the gene. These findings may shed further light on the evolutionary dynamics and molecular functional diversity of these proteins in complex cellular regulations.

Flowering time is an important factor determining yield and seed quality in maize. A change in flowering time is a strategy used to survive abiotic stresses. Among abiotic stresses, drought can increase anthesis-silking intervals (ASI), resulting in negative effects on maize yield. We have analyzed the correlation between flowering time and drought stress using RNA-seq and bioinformatics tools. Our results identified a total of 619 genes and 126 transcripts whose expression was altered by drought stress in the maize B73 leaves under short-day condition. Among drought responsive genes, we also identified 20 genes involved in flowering times. Gene Ontology (GO) enrichment analysis was used to predict the functions of the drought-responsive genes and transcripts. GO categories related to flowering time included reproduction, flower development, pollen–pistil interaction, and post-embryonic development. Transcript levels of several genes that have previously been shown to affect flowering time, such as PRR37, transcription factor HY5, and CONSTANS, were significantly altered by drought conditions. Furthermore, we also identified several drought-responsive transcripts containing C2H2 zinc finger, CCCH, and NAC domains, which are frequently involved in transcriptional regulation and may thus have potential to alter gene expression programs to change maize flowering time. Overall, our results provide a genome-wide analysis of differentially expressed genes (DEGs), novel transcripts, and isoform variants expressed during the reproductive stage of maize plants subjected to drought stress and short-day condition. Further characterization of the drought-responsive transcripts identified in this study has the potential to advance our understanding of the mechanisms that regulate flowering time under drought stress.

Duplicate genes are believed to be a major source of new gene functions over evolutionary time. In order to evaluate the evolutionary dynamics of rice duplicate genes, formed principally by paleoployploidization prior to the speciation of the Poaceae family, we have employed a public microarray dataset including 155 gene expression omnibus sample plates and bioinformatics tools. At least 57.4% of old »70 million years ago (MYA) duplicate gene pairs exhibit divergences in expression over the given experimental set, whereas at least 50.9% of young »7.7-MYA duplicate gene pairs were shown to be divergent. When grouping the rice duplicate genes according to functional categories, we noted a striking and signiWcant enrichment of divergent duplicate metabolism-associated genes, as compared to that observed in non-divergent duplicate genes. While both non-synonymous substitution (Ka) and synonymous substitution (Ks) values between nonand divergent duplicate gene pairs evidenced signiWcant diVerences, the Ka/Ks values between them exhibited no signiWcant diVerences. Interestingly, the average numbers of conserved motifs of the duplicate gene pairs revealed a pattern of decline along with an increase in expression diversity, partially supporting the subfunctionalization model with degenerative complementation in regulatory motifs. Duplicate gene pairs with high local similarity (HLS) segments, which might be formed via conversion between rice paleologs, evidenced higher expression correlations than were observed in the gene pairs without the HLS segments; this probably resulted in an increased likelihood of gene conversion in promoters of the gene pairs harboring HLS segments. More than 60% of the rice gene families exhibited similar high expression diversity between members as compared to that of randomly selected gene pairs. These Wndings are likely reXective of the evolutionary dynamics of rice duplicate genes for gene retention.

BackgroundThe PLAnt co-EXpression database (PLANEX) is a new internet-based database for plant gene analysis. PLANEX (http://planex.plantbioinformatics.org) contains publicly available GeneChip data obtained from the Gene Expression Omnibus (GEO) of the National Center for Biotechnology Information (NCBI). PLANEX is a genome-wide co-expression database, which allows for the functional identification of genes from a wide variety of experimental designs. It can be used for the characterization of genes for functional identification and analysis of a gene’s dependency among other genes. Gene co-expression databases have been developed for other species, but gene co-expression information for plants is currently limited.DescriptionWe constructed PLANEX as a list of co-expressed genes and functional annotations for Arabidopsis thaliana, Glycine max, Hordeum vulgare, Oryza sativa, Solanum lycopersicum, Triticum aestivum, Vitis vinifera and Zea mays. PLANEX reports Pearson’s correlation coefficients (PCCs; r-values) that distribute from a gene of interest for a given microarray platform set corresponding to a particular organism. To support PCCs, PLANEX performs an enrichment test of Gene Ontology terms and Cohen’s Kappa value to compare functional similarity for all genes in the co-expression database. PLANEX draws a cluster network with co-expressed genes, which is estimated using the k-mean method. To construct PLANEX, a variety of datasets were interpreted by the IBM supercomputer Advanced Interactive eXecutive (AIX) in a supercomputing center.ConclusionPLANEX provides a correlation database, a cluster network and an interpretation of enrichment test results for eight plant species. A typical co-expressed gene generates lists of co-expression data that contain hundreds of genes of interest for enrichment analysis. Also, co-expressed genes can be identified and cataloged in terms of comparative genomics by using the ‘Co-expression gene compare’ feature. This type of analysis will help interpret experimental data and determine whether there is a common term among genes of interest.