Sentence examples for identifying fitness from inspiring English sources
The survival of the ancestral pathogen until today suggests that its genetic attributes could be informative in identifying fitness and potentially pathogenic loci.
We tested the method by identifying fitness- and sensitivity-based interactions involved in the response to drug-induced DNA-damage of budding yeast Saccharomyces cerevisiae using two mutant libraries - one containing transcription factor deletions, and the other containing deletions of DNA repair genes.
Generally, more than two populations are needed to differentiate effects of local adaptation from the effects of drift or migration, causing similar population-by-habitat interactions [ 2], and only replication on the population level allows for identifying fitness differences caused by divergent selection.
Identifying fitness proxies in sea turtles is difficult but numerous studies have found that larger turtles have higher clutch size [ 38, 39].
Identifying fitness effects of individual soil pathogen species may not be straightforward, but the widespread occurrence of soil pathogenic effects highlights the impact of soil antagonists for dandelion performance.
We also identify fitness tradeoffs, in the form of male survivorship and female fecundity, which accompany adaptation to social selection.
We also identified fitness costs of breeding with genetically similar partners: (i) genetic similarity of pairs was negatively correlated with the number of chicks hatched, and (ii) offspring heterozygosity was positively correlated with growth rate and survival.
To identify fitness consequences of social selection, wild-derived mice that had bred under laboratory conditions for eight generations were re-introduced to naturalistic competition in enclosures for three consecutive generations (promiscuous line).
Although this study did not identify fitness costs, further work to characterize the potential impact of fitness costs in a population based setting is needed, since the presence of fitness costs is a commonly-made assumption in research on antimicrobial resistance, in particular in relation to the disappearance of resistant bacteria in the absence of antimicrobial drug.
Indeed, a recent study of long-term experimental evolution in E. coli unmasking DNA topology as a key target for selection identified fitness-enhancing mutations in topoisomerase and fis genes [ 27].
This could simply be riding your favourite route to see how quickly you can do it, or something more specific, aimed at identifying measurable fitness values to work out training zones.
