title: Genome constraint through sexual reproduction: application of 4D-Genomics in reproductive biology.
abstract: Assisted reproductive technologies have been used to achieve pregnancies since the first successful test tube baby was born in 1978. Infertile couples are at an increased risk for multiple miscarriages and the application of current protocols are associated with high first-trimester miscarriage rates. Among the contributing factors of these higher rates is a high incidence of fetal aneuploidy. Numerous studies support that protocols including ovulation-induction, sperm cryostorage, density-gradient centrifugation, and embryo culture can induce genome instability, but the general mechanism is less clear. Application of the genome theory and 4D-Genomics recently led to the establishment of a new paradigm for sexual reproduction; sex primarily constrains genome integrity that defines the biological system rather than just providing genetic diversity at the gene level. We therefore propose that application of assisted reproductive technologies can bypass this sexual reproduction filter as well as potentially induce additional system instability. We have previously demonstrated that a single-cell resolution genomic approach, such as spectral karyotyping to trace stochastic genome level alterations, is effective for pre- and post-natal analysis. We propose that monitoring overall genome alteration at the karyotype level alongside the application of assisted reproductive technologies will improve the efficacy of the techniques while limiting stress-induced genome instability. The development of more single-cell based cytogenomic technologies are needed in order to better understand the system dynamics associated with infertility and the potential impact that assisted reproductive technologies have on genome instability. Importantly, this approach will be useful in studying the potential for diseases to arise as a result of bypassing the filter of sexual reproduction.
authors.affiliation: Center for Molecular Medicine and Genetics, Wayne State University School of Medicine, Detroit, Michigan 48201, USA.
authors.forename: Steven D
authors.initials: SD
authors.lastname: Horne
authors.forename: Batoul Y
authors.initials: BY
authors.lastname: Abdallah
authors.forename: Joshua B
authors.initials: JB
authors.lastname: Stevens
authors.forename: Guo
authors.initials: G
authors.lastname: Liu
authors.forename: Karen J
authors.initials: KJ
authors.lastname: Ye
authors.forename: Steven W
authors.initials: SW
authors.lastname: Bremer
authors.forename: Henry H Q
authors.initials: HH
authors.lastname: Heng
mesh_terms: D000782:Aneuploidy; D000818:Animals; D002869:Chromosome Aberrations; D015509:Developmental Biology / Q000379:methods*; D005260:Female; D053263:Gene Regulatory Networks; D005820:Genetic Testing; D015894:Genome, Human; D042822:Genomic Instability; D023281:Genomics / Q000379:methods*; D006801:Humans; D007246:Infertility / Q000235:genetics / Q000503:physiopathology / Q000628:therapy*; D007621:Karyotyping; D008297:Male; D008957:Models, Genetic; D011247:Pregnancy; D011256:Pregnancy Outcome; D011296:Prenatal Diagnosis; D012098:Reproduction / Q000235:genetics*; D027724:Reproductive Techniques, Assisted / Q000009:adverse effects