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When multiple traits share an underlying genetic basis, they may not evolve independently, resulting in constraints on adaptation or even maladaptation [ 1, 29- 31].
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Multiple traits shared this QTL, and it was detected with: count, location IN2 (count_IN2); leaf area, location CA (LA_GT); leaf area, location IN (LA_IN); location IN (length and width PCA value; LW_IN); and length and width for all locations (LW_all).
This might be achieved by integrating multiple traits that share underlying genetic and epigenetic architecture.
Any workflow that might want to look for groups of nodes or edges that share multiple traits, or that explicitly do not share those traits.
This form of pleiotropy, where multiple traits have a shared underlying genetic basis, can potentially limit adaptation in both biological and digital organisms.
Jointly modeling multiple traits' genetic profiles has provided insights into the shared genetic basis of many complex traits.
Furthermore, investigating the performance of genotypes across multiple environments, as in this study, allows calculation of genetic correlations among traits, the proportion of variance that two genetic traits share (Sgro and Blows 2004).
The group of traits considered all share high pairwise genetic correlations, in excess of 0.85 [ 4, 6], and therefore the appropriate correction for multiple traits is unclear.
Adaptive evolution of multiple traits through multiple mutations at a single gene.
Laliberté, E. & Legendre, P. A distance-based framework for measuring functional diversity from multiple traits.
The individual is simultaneously made of multiple traits.
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