Habitat association constrains population history in two sympatric ovenbirds along Amazonian floodplains

2021 ◽  
Author(s):  
Waleska Elizangela dos Santos Barbosa ◽  
Mateus Ferreira ◽  
Eduardo de Deus Schultz ◽  
Leilton Willians Luna ◽  
Thiago Orsi Laranjeiras ◽  
...  
Keyword(s):  
Population History ◽  
Habitat Association

Habitat Association of Klebsiella Species

1985 ◽  
Vol 6 (2) ◽  
pp. 52-58 ◽  
Author(s):  
Susan T. Bagley
Keyword(s):  
Drinking Water ◽  
Gastrointestinal Tract ◽  
Surface Waters ◽  
Industrial Effluents ◽  
Opportunistic Pathogen ◽  
Habitat Associations ◽  
Habitat Association ◽  
Klebsiella Species ◽  
Almost All ◽  
Polluted Waters

AbstractThe genus Klebsiella is seemingly ubiquitous in terms of its habitat associations. Klebsiella is a common opportunistic pathogen for humans and other animals, as well as being resident or transient flora (particularly in the gastrointestinal tract). Other habitats include sewage, drinking water, soils, surface waters, industrial effluents, and vegetation. Until recently, almost all these Klebsiella have been identified as one species, ie, K. pneumoniae. However, phenotypic and genotypic studies have shown that “K. pneumoniae” actually consists of at least four species, all with distinct characteristics and habitats. General habitat associations of Klebsiella species are as follows: K. pneumoniae—humans, animals, sewage, and polluted waters and soils; K. oxytoca—frequent association with most habitats; K. terrigena— unpolluted surface waters and soils, drinking water, and vegetation; K. planticola—sewage, polluted surface waters, soils, and vegetation; and K. ozaenae/K. rhinoscleromatis—infrequently detected (primarily with humans).

The Population History of Britain and Ireland 1500-1750

1996 ◽  
Vol 50 (2) ◽  
pp. 284-285
Author(s):  
Eilidh Garrett
Keyword(s):  
Population History ◽  
History Of

scholarly journals An Integrated Framework for the Inference of Viral Population History From Reconstructed Genealogies

Genetics ◽  
2000 ◽  
Vol 155 (3) ◽  
pp. 1429-1437
Author(s):  
Oliver G Pybus ◽  
Andrew Rambaut ◽  
Paul H Harvey
Keyword(s):  
Maximum Likelihood ◽  
Sequence Data ◽  
Demographic History ◽  
Population History ◽  
Maximum Likelihood Estimates ◽  
Viral Population ◽  
True Parameter ◽  
Subtype B ◽  
Exponential Growth Model ◽  
Parameter Values

Abstract We describe a unified set of methods for the inference of demographic history using genealogies reconstructed from gene sequence data. We introduce the skyline plot, a graphical, nonparametric estimate of demographic history. We discuss both maximum-likelihood parameter estimation and demographic hypothesis testing. Simulations are carried out to investigate the statistical properties of maximum-likelihood estimates of demographic parameters. The simulations reveal that (i) the performance of exponential growth model estimates is determined by a simple function of the true parameter values and (ii) under some conditions, estimates from reconstructed trees perform as well as estimates from perfect trees. We apply our methods to HIV-1 sequence data and find strong evidence that subtypes A and B have different demographic histories. We also provide the first (albeit tentative) genetic evidence for a recent decrease in the growth rate of subtype B.

scholarly journals Population Genomics of American Mink Using Whole Genome Sequencing Data

Genes ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 258
Author(s):  
Karim Karimi ◽  
Duy Ngoc Do ◽  
Mehdi Sargolzaei ◽  
Younes Miar
Keyword(s):  
Population Genomics ◽  
Association Studies ◽  
American Mink ◽  
Population History ◽  
Whole Genome Sequencing Data ◽  
Whole Genome ◽  
Nucleotide Polymorphisms ◽  
Sequencing Data ◽  
Effective Population ◽  
Cross Validation Error

Characterizing the genetic structure and population history can facilitate the development of genomic breeding strategies for the American mink. In this study, we used the whole genome sequences of 100 mink from the Canadian Centre for Fur Animal Research (CCFAR) at the Dalhousie Faculty of Agriculture (Truro, NS, Canada) and Millbank Fur Farm (Rockwood, ON, Canada) to investigate their population structure, genetic diversity and linkage disequilibrium (LD) patterns. Analysis of molecular variance (AMOVA) indicated that the variation among color-types was significant (p < 0.001) and accounted for 18% of the total variation. The admixture analysis revealed that assuming three ancestral populations (K = 3) provided the lowest cross-validation error (0.49). The effective population size (Ne) at five generations ago was estimated to be 99 and 50 for CCFAR and Millbank Fur Farm, respectively. The LD patterns revealed that the average r2 reduced to <0.2 at genomic distances of >20 kb and >100 kb in CCFAR and Millbank Fur Farm suggesting that the density of 120,000 and 24,000 single nucleotide polymorphisms (SNP) would provide the adequate accuracy of genomic evaluation in these populations, respectively. These results indicated that accounting for admixture is critical for designing the SNP panels for genotype-phenotype association studies of American mink.

scholarly journals Skin Barrier Damage due to Prolonged Mask Use among Healthcare Workers and the General Population during the COVID-19 Pandemic: A Prospective Cross-Sectional Survey in China

Dermatology ◽  
2021 ◽  
pp. 1-8
Author(s):  
Xiao Wan ◽  
Quansheng Lu ◽  
Dandan Sun ◽  
Hong Wu ◽  
Guan Jiang
Keyword(s):  
General Population ◽  
Healthcare Workers ◽  
Response Rate ◽  
Skin Barrier ◽  
Population History ◽  
Skin Damage ◽  
Cross Sectional ◽  
Effective Response ◽  
Skin Injuries ◽  
Popularization Of Science

<b><i>Background:</i></b> Coronavirus disease 2019 (COVID-19) has resurged in localized areas in China. Individuals wear masks to prevent the spread of droplets. However, skin barrier damage occurs because of the prolonged use of masks. <b><i>Objective:</i></b> To investigate the prevalence and associated risk factors of skin injuries among healthcare workers (HCWs) and the general population during the COVID-19 outbreak. <b><i>Methods:</i></b> A multicenter cross-sectional study of skin barrier damage caused by wearing masks was conducted using an online questionnaire between December 10 and December 31, 2020. Data regarding demographics, characteristics of facial skin damage, and information on masks were registered. Multivariate logistic regression was used to analyze factors associated with skin barrier damage, and odds ratios (OR) with 95% confidence intervals (CI) were used to establish correlation strength. <b><i>Results:</i></b> A total of 1,538 responses were retrieved from 1,700 questionnaires (response rate, 90.47%), and 1,409 questionnaires were valid (effective response rate, 91.61%). The respondents comprised 567 HCWs (40.24%) and 842 individuals from the general population (59.76%). The prevalence of skin injuries was 46.03% among HCWs and 46.20% among the general population. History of chronic skin disease (OR, 6.01; 95% CI, 4.75–7.75), type of mask used (OR, 2.77; 95% CI, 1.95–3.93), daily wearing time (OR, 1.57; 95% CI, 1.36–1.82), and mask replacement cycle (OR, 0.76; 95% CI, 0.68–0.86) were associated with skin barrier damage. <b><i>Conclusion:</i></b> There was a high incidence of skin barrier damage due to prolonged mask use among HCWs and the general population, and treatment and prevention were inadequate. Attention needs to be given to strengthening comprehensive health education and popularization of science.

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