scholarly journals Effects of multiple sources of genetic drift on pathogen variation within hosts

PLoS Biology ◽  
2018 ◽  
Vol 16 (3) ◽  
pp. e2004444 ◽  
Author(s):  
David A. Kennedy ◽  
Greg Dwyer
Keyword(s):  
Genetic Drift ◽  
Multiple Sources ◽  
Pathogen Variation

scholarly journals Effects of multiple sources of genetic drift on pathogen variation within hosts

2017 ◽  
Author(s):  
David A. Kennedy ◽  
Greg Dwyer
Keyword(s):  
Population Dynamics ◽  
Genetic Drift ◽  
Gypsy Moth ◽  
De Novo ◽  
Multiple Scales ◽  
Genetic Data ◽  
Biological Organization ◽  
Pathogen Population ◽  
Stochastic Variation ◽  
Pathogen Variation

AbstractChanges in pathogen genetic variation within hosts alter the severity and spread of infectious diseases, with important implications for clinical disease and public health. Genetic drift may play a strong role in shaping pathogen variation, but analyses of drift in pathogens have oversimplified pathogen population dynamics, either by considering dynamics only at a single scale (within hosts, between hosts), or by making drastic simplifying assumptions (host immune systems can be ignored, transmission bottlenecks are complete). Moreover, previous studies used genetic data to infer the strength of genetic drift, whereas we test whether the genetic drift imposed by pathogen population processes can be used to explain genetic data. We first constructed and parameterized a mathematical model of gypsy moth baculovirus dynamics that allows genetic drift to act within and between hosts. We then quantified the genome-wide diversity of baculovirus populations within each of 143 field-collected gypsy moth larvae using Illumina sequencing. Finally, we determined whether the genetic drift imposed by host-pathogen population dynamics in our model explains the levels of pathogen diversity in our data. We found that when the model allows drift to act at multiple scales, including within hosts, between hosts, and between years, it can accurately reproduce the data, but when the effects of drift are simplified by neglecting transmission bottlenecks and stochastic variation in virus replication within hosts, the model fails. Ade novomutation model and a purifying selection model similarly fail to explain the data. Our results show that genetic drift can play a strong role in determining pathogen variation, and that mathematical models that account for pathogen population growth at multiple scales of biological organization can be used to explain this variation.

Agreeableness, Conflict Resolution Tactics, and School Behavior in Second Graders

2016 ◽  
Vol 37 (3) ◽  
pp. 145-151 ◽  
Author(s):  
Daniel L. Gadke ◽  
Renée M. Tobin ◽  
W. Joel Schneider
Keyword(s):  
Conflict Resolution ◽  
Problem Behaviors ◽  
Second Graders ◽  
Adaptive Behaviors ◽  
Second Grade ◽  
School Behavior ◽  
Multiple Sources ◽  
School Based ◽  
Second Grade Students ◽  
Negotiation Tactics

Abstract. This study examined the association between Agreeableness and children’s selection of conflict resolution tactics and their overt behaviors at school. A total of 157 second graders responded to a series of conflict resolution vignettes and were observed three times during physical education classes at school. We hypothesized that Agreeableness would be inversely related to the endorsement of power assertion tactics and to displays of problem behaviors, and positively related to the endorsement of negotiation tactics and to displays of adaptive behaviors. Consistent with hypotheses, Agreeableness was inversely related to power assertion tactics and to displays of off-task, disruptive, and verbally aggressive behaviors. There was no evidence that Agreeableness was related to more socially sophisticated responses to conflict, such as negotiation, with our sample of second grade students; however, it was related to displays of adaptive behaviors, specifically on-task behaviors. Limitations, including potential reactivity effects and the restriction of observational data collection to one school-based setting, are discussed. Future researchers are encouraged to collect data from multiple sources in more than one setting over time.

College Student Academic Performance: Coping and Exercise as Mediators of Multiple Sources of Stress

2008 ◽  
Author(s):  
Joseph R. Scotti ◽  
Brittany Joseph ◽  
Christa Haines ◽  
Courtney Lanham ◽  
Vanessa Jacoby
Keyword(s):  
Academic Performance ◽  
College Student ◽  
Multiple Sources ◽  
Student Academic Performance

Coping Skills in College Students in the Response to Multiple Sources of Stress and Trauma

2009 ◽  
Author(s):  
Courtney Lanham ◽  
Vanessa Jacoby ◽  
Brittany Joseph ◽  
Ashley Barnes ◽  
Andrea Jones ◽  
...  
Keyword(s):  
College Students ◽  
Coping Skills ◽  
Multiple Sources

Pattern Recognition for Classification and Matching of Car Tires

2005 ◽  
Vol 33 (1) ◽  
pp. 2-17 ◽  
Author(s):  
D. Colbry ◽  
D. Cherba ◽  
J. Luchini
Keyword(s):  
Computer Vision ◽  
Feature Extraction ◽  
Pattern Matching ◽  
Fourier Transforms ◽  
Two Dimensions ◽  
Multiple Sources ◽  
Matching Process ◽  
Visual Searches ◽  
New Feature ◽  
2D Fft

Abstract Commercial databases containing images of tire tread patterns are currently used by product designers, forensic specialists and product application personnel to identify whether a given tread pattern matches an existing tire. Currently, this pattern matching process is almost entirely manual, requiring visual searches of extensive libraries of tire tread patterns. Our work explores a first step toward automating this pattern matching process by building on feature analysis techniques from computer vision and image processing to develop a new method for extracting and classifying features from tire tread patterns and automatically locating candidate matches from a database of existing tread pattern images. Our method begins with a selection of tire tread images obtained from multiple sources (including manufacturers' literature, Web site images, and Tire Guides, Inc.), which are preprocessed and normalized using Two-Dimensional Fast Fourier Transforms (2D-FFT). The results of this preprocessing are feature-rich images that are further analyzed using feature extraction algorithms drawn from research in computer vision. A new, feature extraction algorithm is developed based on the geometry of the 2D-FFT images of the tire. The resulting FFT-based analysis allows independent classification of the tire images along two dimensions, specifically by separating “rib” and “lug” features of the tread pattern. Dimensionality of (0,0) indicates a smooth treaded tire with no pattern; dimensionality of (1,0) and (0,1) are purely rib and lug tires; and dimensionality of (1,1) is an all-season pattern. This analysis technique allows a candidate tire to be classified according to the features of its tread pattern, and other tires with similar features and tread pattern classifications can be automatically retrieved from the database.

RECfusion: Automatic Scene Clustering and Tracking in Videos from Multiple Sources

2016 ◽  
Vol 2016 (7) ◽  
pp. 1-6 ◽  
Author(s):  
Filippo L.M Milotta ◽  
Sebastiano Battiato ◽  
Filippo Stanco ◽  
Valeria D’Amico ◽  
Giovanni Torrisi ◽  
...  
Keyword(s):  
Multiple Sources

Evidence-Based Social Sciences: A New Emerging Field

2018 ◽  
Vol 5 (2) ◽  
pp. 207-211
Author(s):  
Nazila Zarghi ◽  
Soheil Dastmalchian Khorasani
Keyword(s):  
Social Sciences ◽  
Critical Appraisal ◽  
State Of The Art ◽  
Internal Validity ◽  
Evidence Based ◽  
Multiple Sources ◽  
Social Settings ◽  
Research Findings ◽  
Academic Area ◽  
Different Levels

Abstract Evidence based social sciences, is one of the state-of- the-art area in this field. It is making decisions on the basis of conscientious, explicit and judicious use of the best available evidence from multiple sources. It also could be conducive to evidence based social work, i.e a kind of evidence based practice in some extent. In this new emerging field, the research findings help social workers in different levels of social sciences such as policy making, management, academic area, education, and social settings, etc.When using research in real setting, it is necessary to do critical appraisal, not only for trustingon internal validity or rigor methodology of the paper, but also for knowing in what extent research findings could be applied in real setting. Undoubtedly, the latter it is a kind of subjective judgment. As social sciences findings are highly context bound, it is necessary to pay more attention to this area. The present paper tries to introduce firstly evidence based social sciences and its importance and then propose criteria for critical appraisal of research findings for application in society.

Sign in / Sign up

Export Citation Format

Share Document