Sentence examples for adaptations driving from inspiring English sources

Comparisons of functionally important changes at the molecular level in model systems have identified key adaptations driving isolation and speciation.

As this parasite uses only one final host species under natural conditions, the adaptations driving its population dynamics should be very specific [ 9].

Experiments using pharmaceuticals targeted to the proteins encoded by these two RNAs, gefitinib for ERBB (epidermal growth factor receptor) and trastuzumab for ERBB2 (HErevealedrevealed that the upregulated ERBB2 was a critical secondary adaptation driving tumor growth but not ERBB.

Under such a scenario with inter-genomic co-adaptation driving the distribution of genes that interact with mitochondria we might expect an over-representation of mito-nuclear genes on the X (Rand et al. 2001; Wade and Goodnight 2006; Brandvain and Wade 2009).

Here, the A > T mutation in polymerase box B of the recent subfamily II and the T > G transversion in polymerase box A of subfamily IIB is not observed in the more ancestral subfamily I and thus could be evidence of functional adaptation driving ongoing subfamily II proliferation.

The evolutionary success of phytophagous insects is thought to result mainly from their adaptation to various host-plants, with insect adaptation driving plant diversification in a co-evolutionary process [ 19- 21].

Water availability was identified as the possible cause of differential local adaptation in both geographical regions, confirming the role of environmental adaptation in driving and maintaining genetic differentiation between the two major genetic groups.

This behavioral adaptation reflects driving self-regulation, which allows the driver to continue driving safely despite age-related changes [20].

Several lines of evidence suggest an important role for environmental adaptation in driving divergence between the sister species A. fragilis and S. purpuratus (figs. 5, 6, and 7).

To date, there have only been a few interventions targeted at older drivers, with these programs primarily aimed to promote safety through older drivers' adaptation of driving behavior to compensate for changing functional capacity.

Neural network and machine learning research is advancing at a rapid pace, capturing the public's attention with the promise of technology adaptations in self driving cars, medical advancements and enterprise applications that will impact businesses globally.