scholarly journals Multiple introductions from multiple sources: invasion patterns for an important E ucalyptus leaf pathogen

2015 ◽  
Vol 5 (18) ◽  
pp. 4210-4220 ◽  
Author(s):  
Matsepo Taole ◽  
Wubetu Bihon ◽  
Brenda D. Wingfield ◽  
Michael J. Wingfield ◽  
Treena I. Burgess

Author(s):  
Gautam Shirsekar ◽  
Jane Devos ◽  
Sergio M Latorre ◽  
Andreas Blaha ◽  
Maique Queiroz Dias ◽  
...  

Abstract Large-scale movement of organisms across their habitable range, or migration, is an important evolutionary process that can shape genetic diversity and influence the adaptive spread of alleles. Although human migrations have been studied in great detail with modern and ancient genomes, recent anthropogenic influence on reducing the biogeographical constraints on the migration of nonnative species has presented opportunities in several study systems to ask the questions about how repeated introductions shape genetic diversity in the introduced range. We present an extensive overview of population structure of North American Arabidopsis thaliana by studying a set of 500 whole-genome sequenced and over 2,800 RAD-seq genotyped individuals in the context of global diversity represented by Afro-Eurasian genomes. We use methods based on haplotype and rare-allele sharing as well as phylogenetic modeling to identify likely sources of introductions of extant N. American A. thaliana from the native range in Africa and Eurasia. We find evidence of admixture among the introduced lineages having increased haplotype diversity and reduced mutational load. We also detect signals of selection in immune-system-related genes that may impart qualitative disease resistance to pathogens of bacterial and oomycete origin. We conclude that multiple introductions to a nonnative range can rapidly enhance the adaptive potential of a colonizing species by increasing haplotypic diversity through admixture. Our results lay the foundation for further investigations into the functional significance of admixture.



2016 ◽  
Vol 37 (3) ◽  
pp. 145-151 ◽  
Author(s):  
Daniel L. Gadke ◽  
Renée M. Tobin ◽  
W. Joel Schneider

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.



2008 ◽  
Author(s):  
Joseph R. Scotti ◽  
Brittany Joseph ◽  
Christa Haines ◽  
Courtney Lanham ◽  
Vanessa Jacoby


2009 ◽  
Author(s):  
Courtney Lanham ◽  
Vanessa Jacoby ◽  
Brittany Joseph ◽  
Ashley Barnes ◽  
Andrea Jones ◽  
...  




2013 ◽  
Vol 74 (S 01) ◽  
Author(s):  
Eric Monsalves ◽  
Soroush Larjani ◽  
Bruno Godoy ◽  
Boris Krischek ◽  
Kyle Juraschka ◽  
...  


2016 ◽  
Vol 77 (S 01) ◽  
Author(s):  
Yusuf Dundar ◽  
Richard Cannon ◽  
Marcus Monroe ◽  
Luke Buckman ◽  
Jason Hunt


2005 ◽  
Vol 33 (1) ◽  
pp. 2-17 ◽  
Author(s):  
D. Colbry ◽  
D. Cherba ◽  
J. Luchini

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.



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