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Once we assigned the relocation pattern for the orthologous genes in every species, we further established the original relocation pattern for a gene family (supplementary table 2, Supplementary Material online), which was inferred by applying the maximum parsimony principle to the relocation patterns of the single species.
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We then assigned the corresponding genus expression pattern for every original relocation pattern to ascertain whether a correlation between the two patterns exists when the entire Drosophila genus is considered.
To test whether departures from the expected frequencies [X → A], [A → X], and [A i → A j] exist for the original relocation pattern, we first analyzed the chromosome distribution of the single copy and parental genes altogether.
We also looked for changes in gene expression and potential associations with the relocation pattern in other Drosophila species.
As described above for D. melanogaster, we looked for changes in the expression pattern between parental and duplicated genes associated with their relocation pattern in other Drosophila species.
We analyzed the relocation pattern in each Drosophila species genome to infer the ancestral gene locations and original relocation pattern (see Materials and Methods and supplementary table 1, Supplementary Material online).
These studies reported that relocation from the X chromosome to any autosomal arm, [X → A], is significantly more frequent than expected by chance, whereas any other relocation pattern ([A i → A j] and [A → X]), is significantly underrepresented.
We further explored whether the expression and relocation patterns described in the previous sections are correlated.
The results for all 'countable' nuclei were registered in relocation charts in the form of patterns for the entire probe panel.
No information on residential relocation, commuting patterns, or time-activity behaviors shaping individual exposures during pregnancy was available.
Evaluation is done by measuring the ability to predict empirical patterns for different topics, population, relocations and vacancies at different scales.
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