Population growth models have validated the potential capacity of the technique to achieve effective population control of target pest species over a wide range of target life histories (Gemmell et al. 2013).
Population growth models have indicated that a TFT mutation could achieve more effective pest regulation than the SMT over a wide range of target life histories (Gemmell et al. 2013), including in cases where population turnover rates are low and multiple mating rates high (Gemmell et al. 2013).
In the context of predicted target genes and life history traits of silkworms; we also discussed potential functions of several stage-biased miRNAs.
This approach might have worked to save the bald eagle (in part because, unlike with CMMB, mitigation would have targeted the most important life history stage), but the continued use of DDT would likely have resulted in the extinction of other bird species (e.g., the brown pelican [54], and peregrine falcon [55]).
From an implementation standpoint, this also provides unique opportunity for identification of weak linkages in their life history to target using antiviral agents.
Here we tackle the first major information gap identified above: What biases associated with age structure are involved in estimating Ne or Nb from genetic data for iteroparous species, and how do the patterns of bias depend on the life history of the target species and the experimental design?
Demographic rates of transition and sensitivities also differed between regions of origin, suggesting that the most effective approach for reducing overall population growth rate would be to target different life-history stages in each region.
Host transfers among closely related Ficus species should be linked to life history constraints or preferential targeting of traits possessed by closely related phenotypes.
Evidently, the applicability of any one criterion might be limited depending on the life history characteristics of the species targeted for reintroduction (Seddon 1999).
One major target of these adaptive processes is the evolution of life history traits such as lifespan, growth, development and plasticity [ 6, 7].
