scholarly journals Likelihood Analysis of the Chalcone Synthase Genes Suggests the Role of Positive Selection in Morning Glories ( Ipomoea )

2004 ◽  
Vol 58 (1) ◽  
pp. 54-63 ◽  
Author(s):  
Ji Yang ◽  
Hongya Gu ◽  
Ziheng Yang
1997 ◽  
Vol 38 (6) ◽  
pp. 754-758 ◽  
Author(s):  
S. Fukada-Tanaka ◽  
A. Hoshino ◽  
Y. Hisatomi ◽  
Y. Habu ◽  
M. Hasebe ◽  
...  

1999 ◽  
Vol 74 (4) ◽  
pp. 141-147 ◽  
Author(s):  
Yasuyo Johzuka-Hisatomi ◽  
Atsushi Hoshino ◽  
Tomoko Mori ◽  
Yoshiki Habu ◽  
Shigeru Iida

2021 ◽  
Vol 111 (5) ◽  
pp. 1549-1574
Author(s):  
Richard Domurat ◽  
Isaac Menashe ◽  
Wesley Yin

We experimentally varied information mailed to 87,000 households in California’s health insurance marketplace to study the role of frictions in insurance take-up. Reminders about the enrollment deadline raised enrollment by 1.3 pp (16 percent) in this typically low take-up population. Heterogeneous effects of personalized subsidy information indicate misperceptions about program benefits. Consistent with an adverse selection model with frictional enrollment costs, the intervention lowered average spending risk by 5.1 percent, implying that marginal respondents were 37 percent less costly than inframarginal consumers. We observe the largest positive selection among low income consumers, who exhibit the largest frictions in enrollment. Finally, we estimate the implied value of the letter intervention to be $25 to $53 per month in subsidy dollars. These results suggest that frictions may partially explain low take-up for marketplace insurance, and that interventions reducing them can improve enrollment and market risk in exchanges. (JEL C93, G22, G52, H75, I13)


BMC Biology ◽  
2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Raman Akinyanju Lawal ◽  
Uma P. Arora ◽  
Beth L. Dumont

Abstract Background Through human-aided dispersal over the last ~ 10,000 years, house mice (Mus musculus) have recently colonized diverse habitats across the globe, promoting the emergence of new traits that confer adaptive advantages in distinct environments. Despite their status as the premier mammalian model system, the impact of this demographic and selective history on the global patterning of disease-relevant trait variation in wild mouse populations is poorly understood. Results Here, we leveraged 154 whole-genome sequences from diverse wild house mouse populations to survey the geographic organization of functional variation and systematically identify signals of positive selection. We show that a significant proportion of wild mouse variation is private to single populations, including numerous predicted functional alleles. In addition, we report strong signals of positive selection at many genes associated with both complex and Mendelian diseases in humans. Notably, we detect a significant excess of selection signals at disease-associated genes relative to null expectations, pointing to the important role of adaptation in shaping the landscape of functional variation in wild mouse populations. We also uncover strong signals of selection at multiple genes involved in starch digestion, including Mgam and Amy1. We speculate that the successful emergence of the human-mouse commensalism may have been facilitated, in part, by dietary adaptations at these loci. Finally, our work uncovers multiple cryptic structural variants that manifest as putative signals of positive selection, highlighting an important and under-appreciated source of false-positive signals in genome-wide selection scans. Conclusions Overall, our findings highlight the role of adaptation in shaping wild mouse genetic variation at human disease-associated genes. Our work also highlights the biomedical relevance of wild mouse genetic diversity and underscores the potential for targeted sampling of mice from specific populations as a strategy for developing effective new mouse models of both rare and common human diseases.


2018 ◽  
Author(s):  
Antonios Kioukis ◽  
Pavlos Pavlidis

The evolution of a population by means of genetic drift and natural selection operating on a gene regulatory network (GRN) of an individual has not been scrutinized in depth. Thus, the relative importance of various evolutionary forces and processes on shaping genetic variability in GRNs is understudied. Furthermore, it is not known if existing tools that identify recent and strong positive selection from genomic sequences, in simple models of evolution, can detect recent positive selection when it operates on GRNs. Here, we propose a simulation framework, called EvoNET, that simulates forward-in-time the evolution of GRNs in a population. Since the population size is finite, random genetic drift is explicitly applied. The fitness of a mutation is not constant, but we evaluate the fitness of each individual by measuring its genetic distance from an optimal genotype. Mutations and recombination may take place from generation to generation, modifying the genotypic composition of the population. Each individual goes through a maturation period, where its GRN reaches equilibrium. At the next step, individuals compete to produce the next generation. As time progresses, the beneficial genotypes push the population higher in the fitness landscape. We examine properties of the GRN evolution such as robustness against the deleterious effect of mutations and the role of genetic drift. We confirm classical results from Andreas Wagner’s work that GRNs show robustness against mutations and we provide new results regarding the interplay between random genetic drift and natural selection.


1997 ◽  
Vol 56 ◽  
pp. 392
Author(s):  
A. Asmuß ◽  
K. Hofmann ◽  
K. Wonigeit ◽  
T. Hünig ◽  
T. Hermann
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