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My results suggest that, although components of body shape are plastic, anthropogenic habitat modification may drive trait divergence in native fish populations in reservoir-altered habitats.
That study identified three primary contexts in which humans drive trait changes: in situ anthropogenic disturbance, introduction of populations to new habitats, and introductions of new interacting species (e.g., hosts, pathogens, and predators) within the existing range of a species.
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Thus, white matter abnormalities detectable in HR subjects but not in controls may reflect genetically driven trait markers.
This may be because the theoretical models described assume competition for resources generate the disruptive selection that drives trait divergence.
Environmental factors represent the situational influences in which behavior is performed (such as food affordability and availability) while personal factors include instincts, drives, traits, and other individual motivational forces.
Not only can this drive adaptive trait divergence among populations [ 2, 3], but it can also foster the evolution of reproductive isolation barriers [ 4– 6].
While observational evidence suggests that variable predator and flow regimes can drive adaptive trait divergence in fishes, the relative contribution of genetic divergence and phenotypic plasticity to morphological variation of fishes in the field has largely been overlooked (Langerhans 2008).
Here, I assessed whether newly formed lentic habitats drive morphological trait divergence of native stream fish populations and predicted that fish morphologies would demonstrate consistent divergence in replicated reservoir systems.
However, indirect interactions can also be driven by trait changes, which may be as important for community structure and function [ 3– 5].
Gene co-expression network approaches are a recent and promising avenue, since they have been successful in identifying gene modules that drive phenotypic traits in several biological systems, including other cancer types.
Another example is using the tech to create gene drives, which entails driving a trait through a population very quickly.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com