scholarly journals Adaptive Evolution under Extreme Genetic Drift in Oxidatively Stressed Caenorhabditis elegans

2017 ◽  
Vol 9 (11) ◽  
pp. 3008-3022 ◽  
Author(s):  
Stephen F Christy ◽  
Riana I Wernick ◽  
Michael J Lue ◽  
Griselda Velasco ◽  
Dana K Howe ◽  
...  
2018 ◽  
Author(s):  
Andreina I. Castillo ◽  
Ben H. Roos ◽  
Michael S. Rosenberg ◽  
Reed A. Cartwright ◽  
Melissa A. Wilson Sayres

AbstractBackgroundOne of the most challenging topics for students in Evolution courses is that of non-adaptive evolution, particularly genetic drift. Novel teaching techniques and software have been implemented to facilitate student understanding of this and other evolution related topics; nonetheless, some of them still present certain disadvantages. Here we introduce Genie, a web-based application designed to demonstrate population genetics and evolutionary concepts.ResultsWe used Genie as a tool to teach 203 students taking Arizona State University’s Evolution course. Students freely used Genie during recitation session after having learned about genetic drift and other mechanism of non-adaptive evolution during lectures. Student performance and comprehension of genetic drift, and other evolutionary concepts, was tested with the Genetic Drift Inventory before and after using Genie. We found that Genie was an efficient tool for teaching genetic drift, mutation, the effects of barrier formation, and gene flow, across a variety of student demographics. Specifically, we found that with our implementation of Genie, students had significantly improved understanding of concepts such as: changes in alleles frequencies due to genetic drift and the difference between adaptive and non-adaptive evolutionary mechanisms.ConclusionsWe believe that the easy usage, creativity, and real-time nature of Genie makes it an accessible tool for both teachers and students learning non-adaptive evolution, as well as a means for student development of creative and critical thinking. Genie is freely available (https://cartwrig.ht/apps/genie/) and can be easily accessed across different operating systems.


2005 ◽  
Vol 102 (12) ◽  
pp. 4476-4481 ◽  
Author(s):  
J. H. Thomas ◽  
J. L. Kelley ◽  
H. M. Robertson ◽  
K. Ly ◽  
W. J. Swanson

2015 ◽  
Vol 5 (1) ◽  
Author(s):  
Lili Ren ◽  
Yue Zhang ◽  
Jianguo Li ◽  
Yan Xiao ◽  
Jing Zhang ◽  
...  

2002 ◽  
Vol 69 ◽  
pp. 117-134 ◽  
Author(s):  
Stuart M. Haslam ◽  
David Gems ◽  
Howard R. Morris ◽  
Anne Dell

There is no doubt that the immense amount of information that is being generated by the initial sequencing and secondary interrogation of various genomes will change the face of glycobiological research. However, a major area of concern is that detailed structural knowledge of the ultimate products of genes that are identified as being involved in glycoconjugate biosynthesis is still limited. This is illustrated clearly by the nematode worm Caenorhabditis elegans, which was the first multicellular organism to have its entire genome sequenced. To date, only limited structural data on the glycosylated molecules of this organism have been reported. Our laboratory is addressing this problem by performing detailed MS structural characterization of the N-linked glycans of C. elegans; high-mannose structures dominate, with only minor amounts of complex-type structures. Novel, highly fucosylated truncated structures are also present which are difucosylated on the proximal N-acetylglucosamine of the chitobiose core as well as containing unusual Fucα1–2Gal1–2Man as peripheral structures. The implications of these results in terms of the identification of ligands for genomically predicted lectins and potential glycosyltransferases are discussed in this chapter. Current knowledge on the glycomes of other model organisms such as Dictyostelium discoideum, Saccharomyces cerevisiae and Drosophila melanogaster is also discussed briefly.


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