5,222 research outputs found
Meeting USDHHS Physical Activity Guidelines and Health Outcomes
International Journal of Exercise Science 10(1): 121-127, 2017 Current public health physical activity (PA) guidelines suggest ≥500 METmin/week of PA, with additional benefits beyond 1000 METmin/week (i.e., a dose response). Revised U.S. PA guidelines are scheduled for 2018. The purpose was to relate health markers (blood pressure, percent fat, BMI, blood glucose, cholesterol, and cardiorespiratory fitness) to verify the dose response for PA guidelines revision. 505 non-smoking participants self-reported PA behaviors and completed medical screening. MANCOVA controlling for age and gender determined the relation between health markers and PA. MANCOVA indicated significantly (P\u3c.001) different health markers of percent fat, BMI, glucose, and treadmill time as a function of PA. Post-hoc Helmert contrasts (1] \u3c500 METmin/week vs. ≥500 METmin/week and 2] 500 to \u3c1000 METmin/week vs. ≥1000 METmin/week) indicated that meeting the PA guidelines was associated with better health markers and higher cardiorespiratory fitness. Effect sizes were greater for contrast 1 than for contrast 2, suggesting a plateauing effect. Revised public health guidelines should consider achievement of ≥500 METmin/week to be most important, with additional modest gain thereafter. Revised PA guidelines should stress the importance of achieving 500-1000 METmin/week
SNP Assay Development for Linkage Map Construction, Anchoring Whole-Genome Sequence, and Other Genetic and Genomic Applications in Common Bean.
A total of 992,682 single-nucleotide polymorphisms (SNPs) was identified as ideal for Illumina Infinium II BeadChip design after sequencing a diverse set of 17 common bean (Phaseolus vulgaris L) varieties with the aid of next-generation sequencing technology. From these, two BeadChips each with >5000 SNPs were designed. The BARCBean6K_1 BeadChip was selected for the purpose of optimizing polymorphism among market classes and, when possible, SNPs were targeted to sequence scaffolds in the Phaseolus vulgaris 14Ă— genome assembly with sequence lengths >10 kb. The BARCBean6K_2 BeadChip was designed with the objective of anchoring additional scaffolds and to facilitate orientation of large scaffolds. Analysis of 267 F2 plants from a cross of varieties Stampede Ă— Red Hawk with the two BeadChips resulted in linkage maps with a total of 7040 markers including 7015 SNPs. With the linkage map, a total of 432.3 Mb of sequence from 2766 scaffolds was anchored to create the Phaseolus vulgaris v1.0 assembly, which accounted for approximately 89% of the 487 Mb of available sequence scaffolds of the Phaseolus vulgaris v0.9 assembly. A core set of 6000 SNPs (BARCBean6K_3 BeadChip) with high genotyping quality and polymorphism was selected based on the genotyping of 365 dry bean and 134 snap bean accessions with the BARCBean6K_1 and BARCBean6K_2 BeadChips. The BARCBean6K_3 BeadChip is a useful tool for genetics and genomics research and it is widely used by breeders and geneticists in the United States and abroad
Extreme wave activity during 2013/2014 winter and morphological impacts along the Atlantic coast of Europe
Studies of coastal vulnerability due to climate change tend to focus on the consequences of sea level rise, rather than the complex coastal responses resulting from changes to the extreme wave climate. Here we investigate the 2013/2014 winter wave conditions that severely impacted the Atlantic coast of Europe and demonstrate that this winter was the most energetic along most of the Atlantic coast of Europe since at least 1948. Along exposed open-coast sites, extensive beach and dune erosion occurred due to offshore sediment transport. More sheltered sites experienced less erosion and one of the sites even experienced accretion due to beach rotation induced by alongshore sediment transport. Storm wave conditions such as were encountered during the 2013/2014 winter have the potential to dramatically change the equilibrium state (beach gradient, coastal alignment, and nearshore bar position) of beaches along the Atlantic coast of Europe
Research frontiers in the analysis of coupled biogeochemical cycles
Author Posting. © Ecological Society of America, 2011. This article is posted here by permission of Ecological Society of America for personal use, not for redistribution. The definitive version was published in Frontiers in Ecology and the Environment 9 (2011): 74–80, doi:10.1890/100137.The analysis of coupled biogeochemical cycles (CBCs) addresses the scientific basis for some of today's major environmental problems. Drawing from information presented at a series of sessions on CBCs held at the 2009 Annual Meeting of the Ecological Society of America and from the research community's expertise, we identify several principal research themes that justify action and investment. Critical areas for research include: coupling of major element cycles to less studied yet equally important trace element cycles; analyzing CBCs across ecosystem boundaries; integrating experimental results into regional- and global-scale models; and expanding the analysis of human interactions with CBCs arising from human population growth, urbanization, and geoengineering. To advance the current understanding of CBCs and to address the environmental challenges of the 21st century, scientists must maintain and synthesize data from existing observational and experimental networks, develop new instrumentation networks, and adopt emerging technologies.We thank the National Science Foundation (NSF) and
the Ecological Society of America (ESA) for their financial
and logistical support of the Coupled Biogeochemical
Cycles sessions held at the 2009 ESA Annual Meeting,
and the publication of this special feature issue of
Frontiers.
ACF was supported by the NSF (DEB-
0743564) and the US Department of Energy’s (DOE’s)
Office of Biological and Environmental Research (10-
DOE-1053). SCD
was supported by the Center for Microbial Oceanography,
Research and Education (NSF EF-0424599). RBJ
was supported by the NSF (DEB #0717191) and by the
DOE’s National Institute for Climate Change Research
Detection and Identification of Common Food-Borne Viruses with a Tiling Microarray
Microarray hybridization based identification of viral genotypes is increasingly assuming importance due to outbreaks of multiple pathogenic viruses affecting humans causing wide-spread morbidity and mortality. Surprisingly, microarray based identification of food-borne viruses, one of the largest groups of pathogenic viruses, causing more than 1.5 billion infections world-wide every year, has lagged behind. Cell-culture techniques are either unavailable or time consuming for routine application. Consequently, current detection methods for these pathogens largely depend on polymerase chain reaction (PCR) based techniques, generally requiring an investigator to preselect the target virus of interest. Here we describe the first attempt to use the microarray as an identification tool for these viruses. We have developed methodology to synthesize targets for virus identification without using PCR, making the process genuinely sequence independent. We show here that a tiling microarray can simultaneously detect and identify the genotype and strain of common food-borne viruses in a single experiment
Impact of Chromosomal Rearrangements on the Interpretation of Lupin Karyotype Evolution
Plant genome evolution can be very complex and challenging to describe, even within a
genus. Mechanisms that underlie genome variation are complex and can include whole-genome
duplications, gene duplication and/or loss, and, importantly, multiple chromosomal
rearrangements. Lupins (Lupinus) diverged from other legumes approximately 60 mya. In contrast
to New World lupins, Old World lupins show high variability not only for chromosome numbers
(2n = 32–52), but also for the basic chromosome number (x = 5–9, 13) and genome size. The
evolutionary basis that underlies the karyotype evolution in lupins remains unknown, as it has so
far been impossible to identify individual chromosomes. To shed light on chromosome changes and
evolution, we used comparative chromosome mapping among 11 Old World lupins, with Lupinus
angustifolius as the reference species. We applied set of L. angustifolius-derived bacterial artificial
chromosome clones for fluorescence in situ hybridization. We demonstrate that chromosome
variations in the species analyzed might have arisen from multiple changes in chromosome
structure and number. We hypothesize about lupin karyotype evolution through polyploidy and
subsequent aneuploidy. Additionally, we have established a cytogenomic map of L. angustifolius
along with chromosome markers that can be used for related species to further improve
comparative studies of crops and wild lupins
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