Faculty Opinions recommendation of The evolution of sex ratio distorter suppression affects a 25 cM genomic region in the butterfly Hypolimnas bolina.

Author(s):  
Norman Johnson
PLoS Genetics ◽  
2014 ◽  
Vol 10 (12) ◽  
pp. e1004822 ◽  
Author(s):  
Emily A. Hornett ◽  
Bruce Moran ◽  
Louise A. Reynolds ◽  
Sylvain Charlat ◽  
Samuel Tazzyman ◽  
...  

2014 ◽  
Author(s):  
Emily A Hornett ◽  
Bruce Moran ◽  
Louise A Reynolds ◽  
Sylvain Charlat ◽  
Samuel Tazzyman ◽  
...  

Symbionts that distort their host?s sex ratio by favouring the production and survival of females are common in arthropods. Their presence produces intense Fisherian selection to return the sex ratio to parity, typified by the rapid spread of host ?suppressor? loci that restore male survival/development. In this study, we investigated the genomic impact of a selective event of this kind in the butterfly Hypolimnas bolina. Through linkage mapping we first identified a genomic region that was necessary for males to survive Wolbachia-induced killing. We then investigated the genomic impact of the rapid spread of suppression that converted the Samoan population of this butterfly from a 100:1 female-biased sex ratio in 2001, to a 1:1 sex ratio by 2006. Models of this process revealed the potential for a chromosome-wide selective sweep. To measure the impact directly, the pattern of genetic variation before and after the episode of selection was compared. Significant changes in allele frequencies were observed over a 25cM region surrounding the suppressor locus, alongside generation of linkage disequilibrium. The presence of novel allelic variants in 2006 suggests that the suppressor was introduced via immigration rather than through de novo mutation. In addition, further sampling in 2010 indicated that many of the introduced variants were lost or had reduced in frequency since 2006. We hypothesise that this loss may have resulted from a period of purifying selection - removing deleterious material that introgressed during the initial sweep. Our observations of the impact of suppression of sex ratio distorting activity reveal an extraordinarily wide genomic imprint, reflecting its status as one of the strongest selective forces in nature.


2021 ◽  
Author(s):  
German Lagunas-Robles ◽  
Jessica Purcell ◽  
Alan Brelsford

AbstractSexually reproducing organisms usually invest equally in male and female offspring. Deviations from this pattern have led researchers to new discoveries in the study of parent-offspring conflict, genomic conflict, and cooperation. Some social insect species exhibit the unusual population-level pattern of split sex ratio, wherein some colonies specialize in the production of future queens and others specialize in the production of males. Theoretical work focused on the relatedness asymmetries emerging from haplodiploid inheritance, whereby queens are equally related to daughters and sons, but their daughter workers are more closely related to sisters than to brothers, led to a series of testable predictions and spawned many empirical studies of this phenomenon. However, not all empirical systems follow predicted patterns, so questions remain about how split sex ratio emerges. Here, we sequence the genomes of 138 Formica glacialis workers from 34 male-producing and 34 gyne-producing colonies to determine whether split sex ratio is under genetic control. We identify a supergene spanning 5.5 Mbp that is closely associated with sex allocation in this system. Strikingly, this supergene is adjacent to another supergene spanning 5 Mbp that is associated with variation in colony queen number. We identify a similar pattern in a second related species, Formica podzolica. The discovery that split sex ratio is determined, at least in part, by a supergene in two species opens a new line of research on the evolutionary drivers of split sex ratio.Significance StatementSome social insects exhibit split sex ratio, wherein some colonies produce future queens and others produce males. This phenomenon spawned many influential theoretical studies and empirical tests, both of which have advanced our understanding of parent-offspring conflicts and cooperation. However, some empirical systems did not follow theoretical predictions, indicating that researchers lack a comprehensive understanding of the drivers of split sex ratio. Here, we show that split sex ratio is associated with a large genomic region in two ant species. The discovery of a genetic basis for sex allocation in ants provides a novel explanation for this phenomenon, particularly in systems where empirical observations deviate from theoretical predictions.


2010 ◽  
Vol 176 (3) ◽  
pp. 264-275 ◽  
Author(s):  
Gwylim S. Blackburn ◽  
Arianne Y. K. Albert ◽  
Sarah P. Otto

2014 ◽  
Vol 101 (2) ◽  
pp. 308-317 ◽  
Author(s):  
Alex D. Twyford ◽  
Richard A. Ennos ◽  
Chris D. White ◽  
Mobina Shaukat Ali ◽  
Catherine A. Kidner
Keyword(s):  

2013 ◽  
Vol 4 (1) ◽  
Author(s):  
András Liker ◽  
Robert P. Freckleton ◽  
Tamás Székely

Evolution ◽  
1981 ◽  
Vol 35 (5) ◽  
pp. 882-897 ◽  
Author(s):  
David Sloan Wilson ◽  
Robert K. Colwell

2009 ◽  
Vol 91 (3) ◽  
pp. 171-182 ◽  
Author(s):  
LUIS-MIGUEL CHEVIN ◽  
HÉLOÏSE BASTIDE ◽  
CATHERINE MONTCHAMP-MOREAU ◽  
FRÉDÉRIC HOSPITAL

SummaryFine scale analyses of signatures of selection allow assessing quantitative aspects of a species' evolutionary genetic history, such as the strength of selection on genes. When several selected loci lie in the same genomic region, their epistatic interactions may also be investigated. Here, we study how the neutral polymorphism pattern was shaped by two close recombining loci that cause ‘sex-ratio’ meiotic drive in Drosophila simulans, as an example of strong selection with potentially strong epistasis. We compare the polymorphism data observed in a natural population with the results of forward stochastic simulations under several contexts of epistasis between the candidate loci for the drive. We compute the likelihood of different possible scenarios, in order to determine which configuration is most consistent with the data. Our results highlight that fine scale analyses of well-chosen candidate genomic regions provide information-rich data that can be used to investigate the genotype–phenotype–fitness map, which can hardly be studied in genome-wide analyses. We also emphasize that initial conditions and time of observation (here, time after the interruption of a partial selective sweep) are crucial parameters in the interpretation of real data, while these are often overlooked in theoretical studies.


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