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Robinson, C. D.

Publications and source records attributed to Robinson, C. D..

2 recordsLinked to original sources

Behavioral estimates of mating success corroborate genetic evidence for pre-copulatory sexual selection in male Anolis sagrei lizards

In promiscuous species, fitness estimates obtained from genetic parentage may often reflect both pre- and post-copulatory components of sexual selection. Directly observing copulations can help isolate the role of pre-copulatory selection, but such behavioral data are difficult to obtain in the wild and may also overlook post-copulatory factors that alter the relationship between mating success and reproductive success. To overcome these limitations, we combined genetic parentage analysis with behavioral estimates of size-specific mating in a wild population of brown anole lizards (Anolis sagrei). Males of this species are twice as large as females and multiple mating among females is common, suggesting the scope for both pre- and post-copulatory processes to shape sexual selection on male body size. Our genetic estimates of reproductive success revealed strong positive directional selection for male size, which was also strongly associated with the number of mates inferred from parentage. In contrast, a males size was not associated with the fecundity of his mates or his competitive fertilization success. By simultaneously tracking copulations in the wild via the transfer of colored powder to females by males from different size quartiles, we independently confirmed that large males were more likely than small males to mate. We conclude that body size is primarily under pre-copulatory sexual selection in brown anoles, and that post-copulatory processes do not substantially alter this pre-copulatory selection. Our study also illustrates the utility of combining both behavioral and genetic methods to estimate mating success to disentangle pre- and post-copulatory processes in promiscuous species.

evolutionary biology↗

Phenotypic parallelism during experimental adaptation of a free-living bacterium to the zebrafish gut

Despite the fact that animals encounter a plethora of bacterial species throughout their lives, only a subset are capable of colonizing vertebrate digestive tracts, and these bacteria can profoundly influence the health and development of their animal hosts. However, it is still unknown how bacteria evolve symbioses with animal hosts, and this process is central to both the assembly and function of gut bacterial communities. Therefore, we used experimental evolution to study a free-living bacterium as it adapts to a novel vertebrate host. We serially passaged replicate populations of Shewanella oneidensis, through the digestive tracts of larval zebrafish (Danio rerio). After only 20 passages, representing approximately 200 bacterial generations, isolates from replicate evolved populations displayed an improved ability to colonize larval zebrafish digestive tracts during competition against their unpassaged ancestor. Upon sequencing the genomes of these evolved isolates, we discovered that the two isolates with the highest mean competitive fitness accumulated unique sets of mutations. We characterized the swimming motility and aggregation behavior of these isolates, as these phenotypes have previously been shown to alter host-microbe interactions. Despite exhibiting different biofilm characteristics, both isolates evolved augmented swimming motility. These enhancements are consistent with expectations based on the behavior of a closely related Shewanella strain previously isolated from the zebrafish digestive tract and suggest that our evolved isolates are pursuing a convergent adaptive trajectory with this zebrafish isolate. In addition, parallel enhancements in swimming motility among isolates from independently adapted populations implicates increased dispersal as an important factor in facilitating the onset of host association. Our results demonstrate that free-living bacteria can rapidly improve their associations with vertebrate hosts.

evolutionary biology↗