We have entered a new era of genomics in biomedical research with the availability of genome-wide sequences and expression data, resulting in the identification of a huge number of novel reproductive genes. The challenge we are facing today is how to determine the function of those novel and known genes and their roles in normal reproductive physiology, such as gamete production, pregnancy and ...

Exciting advances in our understanding of plant reproductive biology are being spurred both by new research on established model systems and by the emergence of new models. Moreover, comparative analyses are placing knowledge derived from each of these systems into an evolutionary framework and thus providing insights into the processes responsible for the diversity of forms we see today. The n...

Evolutionary thinking in medicine draws both on the phylogenetic history of Homo sapiens and on the dynamics of natural selection and genetic drift to give insight into antibiotic resistance, vaccine production, variation in drug response and reproductive biology. In the future, evolutionary developmental genetics promises to contribute to limb and nerve regeneration, and evolutionary functiona...

Center for New Directions in Organic Synthesis, Howard Hughes Medical Institute, and Departments of Chemistry and Molecular and Cell Biology, University of California, Berkeley, California 94720, Genomics Institute of the Novartis Research Foundation, 3115 Merryfield Row, Suite 200, San Diego, California 92121, Pharmacogenetics Section, Laboratory of Reproductive and Developmental Toxicology, N...

E. Zhao, Judy R. McNeilly, Alan S. McNeilly, Reiner Fischer-Colbrie, Ajoy Basak, Jae Young Seong, and Vance L. Trudeau Centre for Advanced Research in Environmental Genomics, Department of Biology, University of Ottawa, Ottawa, Ontario, Canada; University of Edinburgh, Medical Research Council Human Reproductive Sciences Unit, the Queen’s Medical Research Institute, Edinburgh, United Kingdom; D...

to compare different qtl mapping methods, a population with genotypic and phenotypic data was simulated. in bayesian approach, all information of markers can be used along with combination of distributions of snp markers. it is assumed that most of the markers (95%) have minor effects and a few numbers of markers (5%) exert major effects. the simulated population included a basic population of ...