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Daniel Guariz Pinheiro

Researcher at Sao Paulo State University

Publications -  74
Citations -  1969

Daniel Guariz Pinheiro is an academic researcher from Sao Paulo State University. The author has contributed to research in topics: Gene & Genome. The author has an hindex of 21, co-authored 68 publications receiving 1543 citations. Previous affiliations of Daniel Guariz Pinheiro include National Institute of Standards and Technology & University of São Paulo.

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The genomes of two key bumblebee species with primitive eusocial organization

Ben M. Sadd, +154 more
- 24 Apr 2015 - 
TL;DR: Overall, gene repertoires suggest that the route to advanced eusociality in bees was mediated by many small changes in many genes and processes, and not by notable expansion or depauperation.
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Genomic signatures of evolutionary transitions from solitary to group living

Karen M. Kapheim, +60 more
- 05 Jun 2015 - 
TL;DR: There is no single road map to eusociality; independent evolutionary transitions in sociality have independent genetic underpinnings and these transitions do have similar general features, including an increase in constrained protein evolution accompanied by increases in the potential for gene regulation and decreases in diversity and abundance of transposable elements.
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Detection of Increased Plasma Interleukin-6 Levels and Prevalence of Prevotella copri and Bacteroides vulgatus in the Feces of Type 2 Diabetes Patients

TL;DR: The prevalence of Gram-negative species in the gut and the increased plasma IL-6 in patients could be linked to low-grade inflammation and insulin resistance, and the detection of inflammatory markers could be used as diabetes predictive markers in overweight, obese and in genetically predisposed individuals to develop T2D.
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De novo transcriptome analysis of Hevea brasiliensis tissues by RNA-seq and screening for molecular markers.

TL;DR: This is the first study of the H. brasiliensis transcriptome, leading to the production of the first developed SNP markers, and this process could be amplified to a larger set of in silico detected SNVs in expressed genes in order to increase the marker density in available and future genetic maps.