A variety of biological systems, like food webs and the various biochemical interactions between genes, proteins and metabolites, have been found to exhibit similar large-scale traits [ 3- 6].
Large-scale trait-mapping methods that have been developed for S. cerevisiae generally differ from one another in two respects: (1) whether the entire population of recombinant progeny or an extreme tail of the phenotype distribution is recovered and (2) whether genotyping is performed on individuals or in pools.
A large scale study of CVD traits in a Sardinian population showed that for several traits in which heritability estimates differed by gender, for example weight and hip circumference, the heritability was larger among women [13].
This study should be considered within its limitations as one of the first attempts of large scale screening of psychopathic traits in subjects entering the adolescence period.
For example, patterns of trait divergence during the diversification of live oaks (Ceanothus) in California suggested that traits related to local scale coexistence show an early divergence in the group, while traits related to large scale habitat display a later or throughout differentiation [ 3].
Understanding how such traits link to large scale features of the environment may improve models that account for variation in strength of consumer effects across landscapes.
However, detecting SGE during the grow-out period would require recording weight and fin damage traits on a large scale in a design with many small cages in the sea [ 18, 30], which is very demanding in practice.
Despite laying at the extreme of the computing architecture spectrum – multi-core processors being at the small scale, and Clouds being at the large scale – they share an important common trait: both are specific forms of parallel/distributed architectures.
Large scale transcriptomic studies of important life trait characteristics, such as growth, maturation, environmental tolerance and disease resistance, can provide important knowledge concerning underlying molecular mechanisms and control elements, assisting in the development of welfare-centred and sustainable management strategies for aquaculture species, e.g. [ 19, 20].
An application of a large scale mining approach to anthropometric and biochemical traits has not been previously reported.
By contrast, the annual O. nivara wild rices could have been exploited on a large scale without any serious cultivation, or selection of habit changes or domestication traits.
