The phrase "architecture of a population" is correct and usable in written English.
It can be used in contexts discussing the structure, organization, or characteristics of a specific group of people or organisms within a population.
Example: "The architecture of a population can reveal important insights into social dynamics and resource distribution."
Alternatives: "structure of a population" or "composition of a population".
It is also important to note that, similar to many previous approaches, our 3D models are consensus structures that summarize the genome architecture of a cell population.
Moreover, when designed properly, transethnic population findings enable a finer dissection of genetic architecture within a population.
Modeling of root system variables shows that optimum architecture for nitrogen and phosphorus uptake is not the same (Postma and Lynch, 2014) and suggests tradeoffs that may affect the evolution of root architecture as a population adapts to a particular environmental niche (Laliberté et al., 2013).
Previous work that did not include competition suggested that specific characteristics of the genetic architecture of a trait could affect population dynamics when the environment suddenly shifts states or when it changes steadily through time [25], [31], [33].
By assigning peptides to different populations, Lo et al. (2007) were able to infer the genome architecture of a single Leptospirillum group II population within a genomically uncharacterized sample and demonstrated that its genome is a hybrid formed by recombination of the UBA and 5-way CG genome types.
It is now thought that there are both multiple common risk alleles of small affect, as well as rare variants of larger effect (such as copy number variations: CNVs) that contribute to the overall genetic architecture of schizophrenia on a population basis.
Since the genetic architecture of the population represented by PCA is related to its geographic localization35, we assessed correlations between the regional vector of Japan (from northeast to southwest) and each of the top ten principal components (PCs).
In addition, the genetic architecture of the population (Jeffery 2001) and previous evolutionary history (Teotónio et al. 2002) may also affect recovery.
Therefore, to increase breed performance and reveal how selection shapes the genome, it is essential to dissect the genetic architecture of each population.
