Sentence examples for understanding of genomic evolution from inspiring English sources

Nevertheless, the relatively few examples studied to date provide little understanding of genomic evolution after duplication.

Despite advances in the understanding of genomic evolution due to hybridization events among species that have long diverged (Clarke et al. 2002; Rieseberg et al. 2003), only scant information is available on the evolution of genomes of fungal pathogens undergoing hybridization (Brasier and Kirk 2010).

Bolli, N. et al. Heterogeneity of genomic evolution and mutational profiles in multiple myeloma.

This technology greatly enhances researchers abilities to attain new affordable resources for plant breeding; functional analyses of genes and genomic elements; and to improve our understanding of genome evolution across complex organisms.

We propose that the common patterns of nucleotide motif usage observed in hosts and viruses coding sequences are caused by host-induced and host-specific constraints, and are key factors in understanding the genomic evolution of Flaviviridae family and its hosts.

Improved understanding of genomic changes during the evolution of seed plants will provide a new perspective for examining key evolutionary innovations in that clade, such as the seed itself.

Thus, understanding genomic evolution demands a comprehensive knowledge of TE composition within the genome, as well as of their dynamics and interactions with host genome.

A better understanding of within-host genomic evolution is necessary to design effective therapies against H. pylori.

Therefore, comparative genomic analysis between smooth pufferfish and spiny pufferfish is useful for our understanding of genome size evolution in pufferfish.

We applied comparative and population genomic approaches to (i) characterize the evolution of this recently emerged serovar and to (ii) gain a better understanding of genomic features that could explain some of the unique epidemiological features associated with this serovar.

In this study, we contribute to the understanding of the association between genomic evolution and ecological adaptation by presenting bioinformatic analyses of recombination events (gene gain/loss and homologous recombination) between 27 publicly available genomes of E. coli from different phylogroups (A, B1, B2 and D) and ecological backgrounds (commensal and different pathotypes).