Sentence examples for steps of evolutionary from inspiring English sources

Experienced students likely understand that we routinely omit steps of evolutionary explanations for brevity, if not clarity.

For instance, nothing is known about the genetic control of eye morphogenesis in the true moles (Talpidae), but it is likely that they represent a good model of the first steps of evolutionary eye degeneration [ 7, 9].

This methodology comprises three steps: exploration of evolutionary relationship between targets of known FDA-approved drugs and Mtb proteins, structural elucidation of binding sites of Mtb proteins homologous to known targets and evaluation of predicted binding sites with the help of protein ligand docking.

Thus, biologists expect that most intervening steps of an evolutionary transition (e.g., from ancestral arthropod to modern butterfly) will not be recorded as fossils.

Essential steps of the evolutionary processes included in the software - mutation, gene flow, selection, demographic growth - have been described in earlier papers [ 37, 39- 41].

A few points should, however, be addressed: 1) While the three steps of RIN, evolutionary analysis, and interaction analysis are presented and well-described, the relative contributions of each to the final Hot Spot sub-network are not provided.

The high frequency of HTs, combined with the transcriptional activity and low insertion numbers of Gypsy and Micropia retroelements in the Zaprionus species subgenus indicates that these elements remain at the first or second steps of the evolutionary life history of the TEs, i.e. the invasion or the genomic spread period.

Why do the other mutations not have the expected effect? 1) While the three steps of RIN, evolutionary analysis, and interaction analysis are presented and well-described, the relative contributions of each to the final Hot Spot sub-network are not provided.

We will present quantitative methods to measure the size of evolutionary steps within a structural domain, allowing the correlation between change in substrate and domain structure to be assessed, and giving insights into the evolvability of different domains in terms of the number, types and sizes of evolutionary steps observed.

And our discovery of what technology is getting at allows us to predict the next step of its evolutionary retrogression, the Devonian or fish state.

In absence of knowledge of the noise-statistics, discriminating better trial solutions from the rest becomes difficult in the "selection" step of an evolutionary optimization algorithm with noisy objective/s.