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These results parallel those noted in a number of animal species [14 20], suggesting that where relationships provide valuable benefits that influence fitness, individuals may be anxious to ensure their stability and future persistence.
However, standard culture has also been shown to negatively affect fitness components of wild-type fish, raising the question of whether culture conditions influence fitness components of transgenic fish in a similar way.
Coltman et al. [3] proposed that genetic diversity could influence fitness through disease resistance.
Partial correlation analysis was used to study how these characteristics interact to influence fitness pleiotropy.
Our study confirms that these cryptic lineages differ in several aspects that are likely to influence fitness.
Nonetheless, multi-locus heterozygosity has been widely reported to influence fitness (e.g. [37]), even if the genetic processes it captures are not well understood.
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Individual variation in habitat use and access to resources can also influence fitness-related traits in wild populations (Calsbeek 2009; Smith et al. 2010; Hoye et al. 2012).
Of note, the difference in run-times between anemics and non-anemics appears to be the most influenced fitness parameter as compared to less operational difference for sit-ups and push-ups (Tables 3 and 4).
We also used Spearman partial correlation to find the relative importance of measurements influencing fitness pleiotropy.
PPI degree is a better predictor than BW, and PPI degree may interact with CC influencing fitness pleiotropy.
In the joint analysis, non-parametric Spearman partial correlation and the corresponding significant test are used to measure which measurement is most important in influencing fitness pleiotropy.
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