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To build a predictor based on the methylation status of the 115 selected genes with larger variation across the original series, we used the web tool SignS (http://signs.bioinfo.cnio.es) [21].
In contrast to the honeybee genome, gene density in the parasitoid wasp genome is positively associated with the recombination rate; regions of low recombination are characterized by fewer genes with larger introns and by a greater distance between genes.
We also find that essential genes and genes with larger codon bias are subject to slightly stronger cis-regulatory constraint and that positive selection has played a role in the evolution of major trans-acting QTL.
This correlation is similar to the one we observed linking duplicate dPGM genes with larger genomes (see above) and supports the published observation that smaller genomes encode disproportionally fewer analogous enzymes (NISE) [1], [3].
Genes with larger numbers of PPs had fewer extant introns.
Using this approach, genes with larger scores have stronger overall correlation.
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Moreover, a gene expression meta-analysis reveals that genes with large fitness changes during stress have low transcriptional variation across hundreds of other conditions, and vice versa.
So far, the examples presented are all major genes with large effects.
For example, it is possible to override the liability scale established by small effects of a number of genes with large effects on the disease phenotype [24, 71].
QTL mapping by GWAS in rice germplasm can be used as a complementary strategy for classical biparental cross-mapping of dissecting complex traits, but it seems to be effective only for genes with large effects.
Noticeably, this correlation is mainly due to genes with large expression differences between species.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com