Faculty Opinions recommendation of On the regulatory evolution of new genes throughout their life history.

Author(s):  
Sarah Teichmann ◽  
Tzachi Hagai
2018 ◽  
Author(s):  
Jia-yu Zhang ◽  
Qi Zhou

AbstractEvery gene has a birthplace and an age, i.e., a cis-regulatory environment and an evolution lifespan since its origination, yet how gene’s evolution trajectory is shaped by the two remains unclear. Here we address this basic question by comparing phylogenetically dated new genes of different ages among Drosophila and vertebrate species. For both, we find a clear ‘out of testis’ transition from the testis-specific young genes to the broadly expressed old housekeeping genes. Particularly, many new genes have evolved specific activation at maternal-zygotic transition, or distinctive spatiotemporal embryonic expression patterns from the parental genes. We uncover an age-dependent gain/loss of active/repressive histone modifications and cis-regulatory elements, with variations between species and between somatic/germline tissues, which together underpin the stepwise acquisition of novel and important function by new genes. These results illuminate the general evolution trajectory and the underlying regulatory mechanisms of genes throughout their life history.


2013 ◽  
Vol 59 (6) ◽  
pp. 365-367 ◽  
Author(s):  
Brian K. Coombes

Horizontal gene transfer plays a major role in microbial evolution by innovating the bacterial genome with new genetic blueprints to adapt to previously unexploited niches. However, to benefit from these genetic acquisitions, the bacterium must integrate the expression of these new genes into existing regulatory nodes and deploy them at the right time. There is much to gain from uncovering the genetic diversity in noncoding DNA that is selective during host infection because of the beneficial effect it has on bacterial gene expression. By identifying genes that have undergone regulatory evolution, a deeper understanding of the arms race between host and pathogen is gained.


2019 ◽  
Vol 42 ◽  
Author(s):  
Boris Kotchoubey

Abstract Life History Theory (LHT) predicts a monotonous relationship between affluence and the rate of innovations and strong correlations within a cluster of behavioral features. Although both predictions can be true in specific cases, they are incorrect in general. Therefore, the author's explanations may be right, but they do not prove LHT and cannot be generalized to other apparently similar processes.


Sarsia ◽  
2003 ◽  
Vol 88 (4) ◽  
pp. 297-301 ◽  
Author(s):  
Guerra A. ◽  
Rocha F. ◽  
A. F. González
Keyword(s):  

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