11 research outputs found

    Niche breadth and overlap of Sphagnum species in Costa Rica

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    Niche breadth and overlap values of Sphagnum species in Costa Rica are similar to those reported for Sphagnum-dominated peatlands in North America. Sphagnum magellanicum Brid. and S. sparsum Hampe have the broadest niche breadth of the common species in Costa Rica. Although S. sancto-josephense Crum & Crosby has a relatively narrow niche breadth, it is one of the most common species along with S. magellancium and S. sparsum in the Sphagnum habitats of Costa Rica. Niche overlap is high among species with the exception of S. platyphyllum (Braithw.) Warnst. which is found in habitats that are rich in iron. The pH, conductivity, and concentrations of Ca, Fe, Mg, Mn, Na, K, and P of Sphagnum habitats in Costa Rica are similar to those reported for páramo habitats in South America

    Niche diversification of Sphagnum in Bolivia

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    Niche breadth values of Sphagnum species in the páramo and cloud forests of Bolivia are similar to those reported for Sphagnum-dominated peatlands in North America, but niche overlap values are higher for Sphagnum species in Bolivia. The pH, conductivity, and concentrations of Ca, Mg, Na, K, and P suggest that Sphagnum habitats in Bolivia are ombrotrophic in nature. Sphagnum is limited to small, scattered carpets in the páramo and cloud forests of the Bolivian Andes between 1800 and 4200 m. Common species found in these habitats include S. alegrense Warnst., S. boliviae Warnst., S. cuspidatum Ehrh., S. magellanicum Brid., S. oxyphyllum Warnst., S. recurvum P. Beauv., S. sanctojosephense Crum & Crosby, and S. sparsum Hampe

    Biogeochemical ecology of six species of Sphagnum in Costa Rica

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    There is very little information on the biogeochemical ecology of Sphagnum species in tropical regions. The majority of the ecological information on Sphagnum species in the tropics consists of general habitat information and pH values that are reported in new species descriptions and regional floras such as those of Crum (1980, 1989), Crum and Buck (1988), Karlin (1991), and McQueen (1989)

    Comparison of the Present and Past Bryophyte Flora of Cedar Bog

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    Author Institution: Department of Botany, The Ohio State Universit

    Comprehensive Research Synopsis and Systematic Meta-Analyses in Parkinson's Disease Genetics: The PDGene Database

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    More than 800 published genetic association studies have implicated dozens of potential risk loci in Parkinson's disease (PD). To facilitate the interpretation of these findings, we have created a dedicated online resource, PDGene, that comprehensively collects and meta-analyzes all published studies in the field. A systematic literature screen of ∼27,000 articles yielded 828 eligible articles from which relevant data were extracted. In addition, individual-level data from three publicly available genome-wide association studies (GWAS) were obtained and subjected to genotype imputation and analysis. Overall, we performed meta-analyses on more than seven million polymorphisms originating either from GWAS datasets and/or from smaller scale PD association studies. Meta-analyses on 147 SNPs were supplemented by unpublished GWAS data from up to 16,452 PD cases and 48,810 controls. Eleven loci showed genome-wide significant (P<5×10−8) association with disease risk: BST1, CCDC62/HIP1R, DGKQ/GAK, GBA, LRRK2, MAPT, MCCC1/LAMP3, PARK16, SNCA, STK39, and SYT11/RAB25. In addition, we identified novel evidence for genome-wide significant association with a polymorphism in ITGA8 (rs7077361, OR 0.88, P = 1.3×10−8). All meta-analysis results are freely available on a dedicated online database (www.pdgene.org), which is cross-linked with a customized track on the UCSC Genome Browser. Our study provides an exhaustive and up-to-date summary of the status of PD genetics research that can be readily scaled to include the results of future large-scale genetics projects, including next-generation sequencing studies

    Manhattan plot of all meta-analysis results performed in PDGene.

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    <p>This summary combines association results from 7,123,986 random-effects meta-analyses based on the March 31<sup>st</sup> 2011 datafreeze of the PDGene database. Results are plotted as −log<sub>10 </sub><i>P</i>-values (y-axis) against physical chromosomal location (x-axis). Black and grey dots indicate results originating exclusively from the three fully publicly available GWAS datasets <a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1002548#pgen.1002548-Maraganore2" target="_blank">[10]</a>, <a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1002548#pgen.1002548-Pankratz1" target="_blank">[12]</a>, <a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1002548#pgen.1002548-SimnSnchez1" target="_blank">[13]</a> (see <a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1002548#s4" target="_blank">Methods</a>), while green dots are based on a combination of smaller scale studies, supplemented by GWAS datasets (where applicable). Gene annotations are provided for genes highlighted in the main text.</p

    Overview of genome-wide association studies (GWAS) published in PD until March 31, 2011.

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    <p>The overview is based on content on the PDGene website (<a href="http://www.pdgene.org" target="_blank">http://www.pdgene.org</a>; current on March 31<sup>st</sup>, 2011). Studies are listed in order of publication date. ‘# PD GWAS’ and ‘# CTRL GWAS’ refers to sample sizes used in the initial GWAS datasets, whereas ‘Follow-up’ refers to the total number of replication samples where applicable. ‘Featured genes’ are those genes/loci that were declared as ‘associated’ in the original publication; note that criteria for declaring association varies across studies. Genetic loci in bold font denote genes showing genome-wide significant results (<i>P</i><5×10<sup>−8</sup>) in the PDGene meta-analyses.</p

    Forest plot of the meta-analysis of rs7077361 in <i>ITGA8</i>.

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    <p>Study-specific allelic odds ratios (ORs, black squares) and 95% confidence intervals (CIs, lines) were calculated for each included dataset. The summary OR and CI was calculated using the DerSimonian Laird random-effects model (grey diamond) <a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1002548#pgen.1002548-DerSimonian1" target="_blank">[31]</a>. C = Caucasian ancestry.</p

    Flowchart of literature search, data extraction, and analysis strategies applied for PDGene.

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    <p>Flowchart of literature search, data extraction, and analysis strategies applied for PDGene.</p
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