Chapter 1 Preface

The central topic of evolutionary transcriptomics is to investigate how gene regulation network (GRN) plays a key role in phenotypic innovations (M. King and Wilson 1975 Harrison, Wright, and Mank (2012)Lehner (2013)). To this end, a unified, statistically sound framework for phylogenetic transcriptome analysis is desirable. In addition to some basic tools implemented in the previous version, TreeExp 1.0(Ruan, Su, and Gu 2016), for phylogenetic transcriptome analysis, the R-package TreeExp2 is the updated version with a suite of advanced, recently developed methods.

References

Harrison, Peter W., Alison E. Wright, and Judith E. Mank. 2012. “The evolution of gene expression and the transcriptome–phenotype relationship.” Seminars in Cell & Developmental Biology 23:222–29. https://doi.org/10.1016/j.semcdb.2011.12.004.

King, MC, and AC Wilson. 1975. “Evolution at two levels in humans and chimpanzees.” Science 188:107–16. https://doi.org/10.1126/science.1090005.

Lehner, Ben. 2013. “Genotype to phenotype: lessons from model organisms for human genetics.” Nature Reviews Genetics 14:168. https://doi.org/10.1038/nrg3404.

Ruan, Hang, Zhixi Su, and Xun Gu. 2016. “TreeExp1.0: R Package for Analyzing Expression Evolution Based on Rna-Seq Data.” Journal of Experimental Zoology Part B: Molecular and Developmental Evolution 326 (7):394–402. https://doi.org/10.1002/jez.b.22707.