Background: Set comparisons permeate a large number of data analysis workflows, in particular workflows in biological sciences. Venn diagrams are frequently employed for such analysis but current tools are limited. Results: We have developed InteractiVenn, a more flexible tool for interacting with Venn diagrams including up to six sets. It offers a clean interface for Venn diagram construction and enables analysis of set unions while preserving the shape of the diagram. Set unions are useful to reveal differences and similarities among sets and may be guided in our tool by a tree or by a list of set unions. The tool also allows obtaining subsets’ elements, saving and loading sets for further analyses, and exporting the diagram in vector and image formats. InteractiVenn has been used to analyze two biological datasets, but it may serve set analysis in a broad range of domains. Conclusions: InteractiVenn allows set unions in Venn diagrams to be explored thoroughly, by consequence extending the ability to analyze combinations of sets with additional observations, yielded by novel interactions between joined sets. InteractiVenn is freely available online at: www.interactivenn.net.

Xylella fastidiosa is a xylem-dwelling, insect-transmitted, gamma-proteobacterium that causes diseases in many plants, including grapevine, citrus, periwinkle, almond, oleander, and coffee. X. fastidiosa has an unusually broad host range, has an extensive geographical distribution throughout the American continent, and induces diverse disease phenotypes. Previous molecular analyses indicated three distinct groups of X. fastidiosa isolates that were expected to be genetically divergent. Here we report the genome sequence of X. fastidiosa (Temecula strain), isolated from a naturally infected grapevine with Pierce's disease (PD) in a wine-grape-growing region of California. Comparative analyses with a previously sequenced X. fastidiosa strain responsible for citrus variegated chlorosis (CVC) revealed that 98% of the PD X. fastidiosa Temecula genes are shared with the CVC X. fastidiosa strain 9a5c genes. Furthermore, the average amino acid identity of the open reading frames in the strains is 95.7%. Genomic differences are limited to phage-associated chromosomal rearrangements and deletions that also account for the strain-specific genes present in each genome. Genomic islands, one in each genome, were identified, and their presence in other X. fastidiosa strains was analyzed. We conclude that these two organisms have identical metabolic functions and are likely to use a common set of genes in plant colonization and pathogenesis, permitting convergence of functional genomic strategies.

To contribute to our understanding of the genome complexity of sugarcane, we undertook a large-scale expressed sequence tag (EST) program. More than 260,000 cDNA clones were partially sequenced from 26 standard cDNA libraries generated from different sugarcane tissues. After the processing of the sequences, 237,954 high-quality ESTs were identified. These ESTs were assembled into 43,141 putative transcripts. Of the assembled sequences, 35.6% presented no matches with existing sequences in public databases. A global analysis of the whole SUCEST data set indicated that 14,409 assembled sequences (33% of the total) contained at least one cDNA clone with a full-length insert. Annotation of the 43,141 assembled sequences associated almost 50% of the putative identified sugarcane genes with protein metabolism, cellular communication/signal transduction, bioenergetics, and stress responses. Inspection of the translated assembled sequences for conserved protein domains revealed 40,821 amino acid sequences with 1415 Pfam domains. Reassembling the consensus sequences of the 43,141 transcripts revealed a 22% redundancy in the first assembling. This indicated that possibly 33,620 unique genes had been identified and indicated that >90% of the sugarcane expressed genes were tagged.

Background: Brachiaria brizantha is an important forage grass. The occurrence of both apomictic and sexual reproduction within Brachiaria makes it an interesting system for understanding the molecular pathways involved in both modes of reproduction. Quantitative real time PCR (qRT-PCR) has emerged as an important technique to compare expression profile of target genes and, in order to obtain reliable results, it is important to have suitable reference genes. In this work, we evaluated eight potential reference genes for B. brizantha qRT-PCR experiments, isolated from cDNA ovary libraries. Vegetative and reproductive tissues of apomictic and sexual B. brizantha were tested to validate the reference genes, including the female gametophyte, where differences in the expression profile between sexual and apomictic plants must occur. Results: Eight genes were selected from a cDNA library of ovaries of B. brizantha considering the similarity to reference genes: EF1 (elongation factor 1 alpha), E1F4A (eukaryotic initiation factor 4A), GAPDH (glucose-6-phosphate dehydrogenase), GDP (glyceroldehyde-3-phosphate dehydrogenase), SUCOA (succinyl-CoA ligase), TUB (tubulin), UBCE (ubiquitin conjugating enzyme), UBI (ubiquitin). For the analysis, total RNA was extracted from 22 samples and raw Ct data after qRT-PCR reaction was analyzed for primer efficiency and for an overall analysis of Ct range among the different samples. Elongation factor 1 alpha showed the highest expression levels, whereas succinyl-CoA ligase showed the lowest within the chosen set of samples. GeNorm application was used for evaluation of the best reference genes, and according to that, the least stable genes, with the highest M values were tubulin and succinyl-CoA ligase and the most stable ones, with the lowest M values were elongation factor 1 alpha and ubiquitin conjugating enzyme, when both reproductive and vegetative samples were tested. For ovaries and spikelets of both sexual and apomictic B. brizantha the genes with the lowest M values were BbrizUBCE, BbrizE1F4A and BbrizEF1. Conclusion: In total, eight genes belonging to different cellular processes were tested. Out of them, BbrizTUB was the less stable while BbrizEF1 followed by BbrizUBCE were the more stable genes considering male and female reproductive tissues, spikelets, roots and leaves. Regarding the best reference genes for ovary tissues, where apomictic and sexual reproduction must occur, the best reference genes were BbrizUBCE, BbrizE1F4A and BbrizEF1. Our results provide crucial information for transcriptional analysis in the Brachiaria ssp, helping to improve the quality of gene expression data in these species, which constitute an excellent plant system for the study of apomixis.