作者: Daria Molodtsova , Brock A. Harpur , Clement F. Kent , Kajendra Seevananthan , Amro Zayed
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摘要: It is increasingly apparent that genes and networks influence complex behaviour are evolutionary conserved, which paradoxical considering labile over timescales. How does adaptive change in arise if controlled by pleiotropic, likely constrained genes? Pleiotropy connectedness known to constrain the general rate of protein evolution, prompting some suggest evolution traits, including behaviour, fuelled regulatory sequence evolution. However, we seldom have data on strength selection mutations coding sequences, this hinders our ability study how pleiotropy influences Here use population genomics estimate for a transcriptional network honey bees. We found replacement highly connected transcription factors target experience significantly stronger negative relative weakly targets. Adaptively evolving proteins were more reside at periphery network, while with signs near core network. Interestingly, structure had minimal putative sequences both their Our indicates can because positive protein-coding peripheral genes, targets throughout