Publications by authors named "P Andrew Nevarez"

HEMERA (HMR) is a nuclear and plastidial dual-targeted protein. While it functions in the nucleus as a transcriptional coactivator in phytochrome signaling to regulate a distinct set of light-responsive, growth-relevant genes, in plastids it is known as pTAC12, which associates with the plastid-encoded RNA polymerase, and is essential for inducing the plastomic photosynthetic genes and initiating chloroplast biogenesis. However, the mechanism of targeting HMR to the nucleus and plastids is still poorly understood.

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Background: Vaginal self-sampling for human papillomavirus (HPV) DNA testing could increase rates of screening participation. In clinic-based settings, vaginal HPV testing is at least as sensitive as cytology for detecting cervical intraepithelial neoplasia (CIN) grade 2 or worse; however, effectiveness in home settings is unknown. We aimed to establish the relative sensitivity and positive predictive value for HPV screening of vaginal samples self-collected at home as compared with clinic-based cervical cytology.

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  • Most studies doubted the effectiveness of mitochondrial DNA for barcoding anthozoan cnidarians, particularly outside of scleractinian corals, so this study investigates its limitations in the diverse group Octocorallia.
  • The research compared genetic differences using three potential barcoding regions: COI, msh1, and a combined region of both, finding low genetic variation both within and between species.
  • While the barcoding method isn't perfect, the combination of COI, msh1, and an intergenic region (igr1) proved effective in identifying species, making it a useful tool for octocoral taxonomy.
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  • The assumption that nucleotide positions evolve independently is overly simplistic and can lead to significant biases in evolutionary models.
  • A new method was developed to identify and analyze substitution patterns in DNA, highlighting biases caused by nucleotide context ranging from 2 to 5 base pairs.
  • Findings reveal that these biases are substantial, vary across the genome, and differ between various genomic elements like transposons and genes.
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