Evolutionary Dynamics of Transferred Sequences Between Organellar Genomes in Cucurbita

2019 ◽  
Vol 87 (9-10) ◽  
pp. 327-342 ◽  
Author(s):  
Xitlali Aguirre-Dugua ◽  
Gabriela Castellanos-Morales ◽  
Leslie M. Paredes-Torres ◽  
Helena S. Hernández-Rosales ◽  
Josué Barrera-Redondo ◽  
...  
2020 ◽  
Vol 111 (6) ◽  
pp. 531-538 ◽  
Author(s):  
Jennifer R Mandel ◽  
Adam J Ramsey ◽  
Jacob M Holley ◽  
Victoria A Scott ◽  
Dviti Mody ◽  
...  

Abstract Plant mitochondria and plastids display an array of inheritance patterns and varying levels of heteroplasmy, where individuals harbor more than 1 version of a mitochondrial or plastid genome. Organelle inheritance in plants has the potential to be quite complex and can vary with plant growth, development, and reproduction. Few studies have sought to investigate these complicated patterns of within-individual variation and inheritance using experimental crosses in plants. We carried out crosses in carrot, Daucus carota L. (Apiaceae), which has previously been shown to exhibit organellar heteroplasmy. We used mitochondrial and plastid markers to begin to disentangle the patterns of organellar inheritance and the fate of heteroplasmic variation, with special focus on cases where the mother displayed heteroplasmy. We also investigated heteroplasmy across the plant, assaying leaf samples at different development stages and ages. Mitochondrial and plastid paternal leakage was rare and offspring received remarkably similar heteroplasmic mixtures to their heteroplasmic mothers, indicating that heteroplasmy is maintained over the course of maternal inheritance. When offspring did differ from their mother, they were likely to exhibit a loss of the genetic variation that was present in their mother. Finally, we found that mitochondrial variation did not vary significantly over plant development, indicating that substantial vegetative sorting did not occur. Our study is one of the first to quantitatively investigate inheritance patterns and heteroplasmy in plants using controlled crosses, and we look forward to future studies making use of whole genome information to study the complex evolutionary dynamics of plant organellar genomes.


2020 ◽  
Vol 17 (10) ◽  
pp. 229-240
Author(s):  
Weijin Jiang ◽  
Sijian Lv ◽  
Yirong Jiang ◽  
Jiahui Chen ◽  
Fang Ye ◽  
...  

Author(s):  
Michael Laver ◽  
Ernest Sergenti

This chapter extends the survival-of-the-fittest evolutionary environment to consider the possibility that new political parties, when they first come into existence, do not pick decision rules at random but instead choose rules that have a track record of past success. This is done by adding replicator-mutator dynamics to the model, according to which the probability that each rule is selected by a new party is an evolving but noisy function of that rule's past performance. Estimating characteristic outputs when this type of positive feedback enters the dynamic model creates new methodological challenges. The simulation results show that it is very rare for one decision rule to drive out all others over the long run. While the diversity of decision rules used by party leaders is drastically reduced with such positive feedback in the party system, and while some particular decision rule is typically prominent over a certain period of time, party systems in which party leaders use different decision rules are sustained over substantial periods.


2020 ◽  
Vol 4 (3(12)) ◽  
pp. 1-15
Author(s):  
Samira Ilgarovna Proshkina ◽  

The work is devoted to an urgent problem — the study of the evolutionary dynamics of web advertising, its assessment and effectiveness, as well as the problem of legal support and security of information systems. The goal is a systematic analysis of web advertising in an unsafe information field, its relevance and criteria for assessing marketing efforts, minimizing risks, maximizing additional profits and image. Research hypothesis — the effectiveness of web advertising is determined by the form of advertising, place of display, location of the block, model of calculation of the advertising campaign. An approach based on the establishment of preferences, partnership between the state and business structures is emphasized. It takes into account the COVID-19 pandemic, a slowdown in the pace and features of the evolution of business companies in self-isolation. The subtasks of influence on the advertising efficiency of the site’s features and web advertising are highlighted. A comprehensive analysis of information and logical security and computational models of web advertising companies was also carried out.


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