Sentence examples for multiple experimental populations from inspiring English sources
QTL mapped in multiple experimental populations may represent loci with key roles in the generation of trichome density variation within A. thaliana or simply high frequency polymorphisms within the species.
This finding has held true for multiple experimental systems ranging from simple populations of engineered Escherichia coli [129], to a cell line treated with retinoic acid [130] and even to individual hematopoietic stem cells [10].
Importantly, with a single set of parameter values, the resulting model agrees well with multiple experimental measurements of both single cells and populations of cells from several laboratories.
Multiple experimental studies in bacteria have shown that population structure (low dispersal rate) is indeed essential for the evolution of cooperative traits [ 57- 59] and in particular altruistic suicide [ 46, 60].
Small populations are useful for identifying loci if a trait is controlled by a few loci with large phenotypic effect; however, more complex traits controlled by multiple loci with relatively small phenotypic effect will require large experimental populations.
Variation in male reproductive success and high levels of multiple paternity reveal evidence of intense competition between males in our experimental populations.
It has been shown that the joint analysis of multiple phenotypes can increase the power of QTL detection, thus we performed a meta-analysis of GWAS on four experimental populations i.e. Erhualian, DLY, F2 and Sutai.
If multiple loci controlling gene expression have been under selective pressure, then we would expect that the expression variation between the two experimental populations (and the crosses between them) should primarily follow an additive mode of inheritance.
Van Ooijen, J. W. & Jansen, J. Genetic mapping in experimental populations.
"Distribution of fitness effects among beneficial mutations before selection in experimental populations of bacteria".
Still, scientists say that experimental populations evolving in parallel are not identical.
