Dataset Information

PoplarGene: poplar gene network and resource for mining functional information for genes from woody plants.

ABSTRACT: Poplar is not only an important resource for the production of paper, timber and other wood-based products, but it has also emerged as an ideal model system for studying woody plants. To better understand the biological processes underlying various traits in poplar, e.g., wood development, a comprehensive functional gene interaction network is highly needed. Here, we constructed a genome-wide functional gene network for poplar (covering ~70% of the 41,335 poplar genes) and created the network web service PoplarGene, offering comprehensive functional interactions and extensive poplar gene functional annotations. PoplarGene incorporates two network-based gene prioritization algorithms, neighborhood-based prioritization and context-based prioritization, which can be used to perform gene prioritization in a complementary manner. Furthermore, the co-functional information in PoplarGene can be applied to other woody plant proteomes with high efficiency via orthology transfer. In addition to poplar gene sequences, the webserver also accepts Arabidopsis reference gene as input to guide the search for novel candidate functional genes in PoplarGene. We believe that PoplarGene (http://bioinformatics.caf.ac.cn/PoplarGene and http://124.127.201.25/PoplarGene) will greatly benefit the research community, facilitating studies of poplar and other woody plants.

SUBMITTER: Liu Q

PROVIDER: S-EPMC4981870 | biostudies-literature | 2016 Aug

REPOSITORIES: biostudies-literature

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PoplarGene: poplar gene network and resource for mining functional information for genes from woody plants.

Liu Qi Q Ding Changjun C Chu Yanguang Y Chen Jiafei J Zhang Weixi W Zhang Bingyu B Huang Qinjun Q Su Xiaohua X

Scientific reports 20160812

Poplar is not only an important resource for the production of paper, timber and other wood-based products, but it has also emerged as an ideal model system for studying woody plants. To better understand the biological processes underlying various traits in poplar, e.g., wood development, a comprehensive functional gene interaction network is highly needed. Here, we constructed a genome-wide functional gene network for poplar (covering ~70% of the 41,335 poplar genes) and created the network we ...[more]

PMID: 27515999

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Project description:BackgroundWith the biomedical literature continually expanding, searching PubMed for information about specific genes becomes increasingly difficult. Not only can thousands of results be returned, but gene name ambiguity leads to many irrelevant hits. As a result, it is difficult for life scientists and gene curators to rapidly get an overall picture about a specific gene from documents that mention its names and synonyms.ResultsIn this paper, we present eGIFT (http://biotm.cis.udel.edu/eGIFT), a web-based tool that associates informative terms, called iTerms, and sentences containing them, with genes. To associate iTerms with a gene, eGIFT ranks iTerms about the gene, based on a score which compares the frequency of occurrence of a term in the gene's literature to its frequency of occurrence in documents about genes in general. To retrieve a gene's documents (Medline abstracts), eGIFT considers all gene names, aliases, and synonyms. Since many of the gene names can be ambiguous, eGIFT applies a disambiguation step to remove matches that do not correspond to this gene. Another additional filtering process is applied to retain those abstracts that focus on the gene rather than mention it in passing. eGIFT's information for a gene is pre-computed and users of eGIFT can search for genes by using a name or an EntrezGene identifier. iTerms are grouped into different categories to facilitate a quick inspection. eGIFT also links an iTerm to sentences mentioning the term to allow users to see the relation between the iTerm and the gene. We evaluated the precision and recall of eGIFT's iTerms for 40 genes; between 88% and 94% of the iTerms were marked as salient by our evaluators, and 94% of the UniProtKB keywords for these genes were also identified by eGIFT as iTerms.ConclusionsOur evaluations suggest that iTerms capture highly-relevant aspects of genes. Furthermore, by showing sentences containing these terms, eGIFT can provide a quick description of a specific gene. eGIFT helps not only life scientists survey results of high-throughput experiments, but also annotators to find articles describing gene aspects and functions.

Project description:Winter survival and maintenance strategy is crucial in temperate woody plants. Here, we demonstrate novel aspects of the transcriptional regulations adopted by perennial tree species in winter/dormancy, employing a biochemical and whole transcriptome analysis. As expected, genes related to cold hardiness and defense are over-represented. Interestingly, carbohydrate biosynthesis and transport-related genes were very actively expressed in winter/dormancy. Further biochemical analyses verified the dormancy/winter transcription phenotype. Furthermore, dormancy/winter preferential expression of genes involved in the cell wall biosynthesis/modification, circadian rhythm, the indirect transcriptional regulation (RNA metabolism), and chromatin modification/remodeling were identified. Taken together, regulation of gene expression in the winter survival and maintenance may include not only controlled by promoter binding transcription factors but may also be regulated at the post-transcriptional and chromatin levels. In the first step towards the understanding of molecular mechanisms underlying the winter survival and maintenance of perennial trees, we examined the characteristics of transcription phenotype of the dormancy/winter stem compared to the active growth/summer stem by using a whole transcriptome analysis (GeneChip Poplar Genome Array; Affymetrix). Poplar Genome Array has a total of 61,251 probe sets, representing 57,423 poplar gene models, and allows us to interrogate a total of 41,558 unique gene models because of the probe set redundancy. Slight redundancy of the probe sets within a single chip gave us a unique opportunity to have internal comparisons of the particular genes. Very high reproducibility (R2 > 0.97) between the replicated samples was found. Further confirmation of the GeneChip data was made by semi-quantitative RT-PCR analysis using several genes showing the summer or winter biased expression. Based on these results, further analysis of winter stem transcriptome against summer stem was performed.

Project description:Two main theories have attempted to explain variation in plant species composition (?-diversity). Niche theory proposes that most of the variation is related to environment (environmental filtering), whereas neutral theory posits that dispersal limitation is the main driver of ?-diversity. In this study, we first explored how ?- and ?-diversity of plant functional groups defined by growth form (trees, shrubs and lianas, which represent different strategies of resource partitioning), and dispersal syndrome (autochory, anemochory and zoochory, which represent differences in dispersal limitation) vary with successional age and topographic position in a tropical dry forest. Second, we examined the effects of environmental, spatial, and spatially-structured environmental factors on ?-diversity of functional groups; we used the spatial structure of sampling sites as a proxy for dispersal limitation, and elevation, soil properties and forest stand age as indicators of environmental filtering. We recorded 200 species and 22,245 individuals in 276 plots; 120 species were trees, 41 shrubs and 39 lianas. We found that ?-diversity was highest for shrubs, intermediate for lianas and lowest for trees, and was slightly higher for zoochorous than for autochorous and anemochorous species. All three dispersal syndromes, trees and shrubs varied in composition among vegetation classes (successional age and topographic position), whilst lianas did not. ?-diversity was influenced mostly by proxies of environmental filtering, except for shrubs, for which the influence of dispersal limitation was more important. Stand age and topography significantly influenced ?-diversity across functional groups, but showed a low influence on ?-diversity -possibly due to the counterbalancing effect of resprouting on plant distribution and composition. Our results show that considering different plant functional groups reveals important differences in both ?- and ?-diversity patterns and correlates that are not apparent when focusing on overall woody plant diversity, and that have important implications for ecological theory and biodiversity conservation.

Dataset Information

PoplarGene: poplar gene network and resource for mining functional information for genes from woody plants.

Publications

PoplarGene: poplar gene network and resource for mining functional information for genes from woody plants.

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