Graph-based network analysis of transcriptional regulation pattern divergence in duplicated yeast gene pairs

Author(s):  
Gatis Melkus ◽  
Peteris Rucevskis ◽  
Edgars Celms ◽  
Kārlis Čerāns ◽  
Karlis Freivalds ◽  
...  
Gene ◽  
2005 ◽  
Vol 353 (2) ◽  
pp. 169-176 ◽  
Author(s):  
Kanako O. Koyanagi ◽  
Masato Hagiwara ◽  
Takeshi Itoh ◽  
Takashi Gojobori ◽  
Tadashi Imanishi

2021 ◽  
Author(s):  
Jacob L. Steenwyk ◽  
Megan A. Phillips ◽  
Feng Yang ◽  
Swapneeta S. Date ◽  
Todd Graham ◽  
...  

Gene coevolution - which refers to gene pairs whose evolutionary rates covary across speciation events - is often observed among functionally related genes. We present a comprehensive gene coevolution network inferred from the examination of nearly three million gene pairs from 332 budding yeast species spanning ~400 million years of eukaryotic evolution. Modules within the network provide insight into cellular and genomic structure and function, such as genetic pleiotropy, genes functioning in distinct cellular compartments, vesicle transport, and DNA replication. Examination of the phenotypic impact of network perturbation across 14 environmental conditions using deletion mutant data from the baker's yeast Saccharomyces cerevisiae suggests that fitness in diverse environments is impacted by gene neighborhood and gene connectivity. By mapping the network onto the chromosomes of S. cerevisiae and the opportunistic human pathogen Candida albicans, which diverged ~235 million years ago, we discovered that coevolving gene pairs are not clustered in either species; rather, they are most often located on different chromosomes or far apart on the same chromosome. The budding yeast gene coevolution network captures the hierarchy of eukaryotic cellular structure and function, provides a roadmap for genotype-to-phenotype discovery, and portrays the genome as an extensively linked ensemble of genes.


BMC Genomics ◽  
2009 ◽  
Vol 10 (1) ◽  
pp. 327 ◽  
Author(s):  
Mike J Mason ◽  
Guoping Fan ◽  
Kathrin Plath ◽  
Qing Zhou ◽  
Steve Horvath

PLoS ONE ◽  
2016 ◽  
Vol 11 (12) ◽  
pp. e0168161 ◽  
Author(s):  
Cunling Jia ◽  
Xiaoyan Kong ◽  
James E. Koltes ◽  
Xiao Gou ◽  
Shuli Yang ◽  
...  

2019 ◽  
Vol 60 (12) ◽  
pp. 2707-2719 ◽  
Author(s):  
Chih-Ta Lin ◽  
Tao Xu ◽  
Shi-Lai Xing ◽  
Li Zhao ◽  
Run-Ze Sun ◽  
...  

Abstract Boea hygrometrica can survive extreme drought conditions and has been used as a model to study desiccation tolerance. A genome-wide transcriptome analysis of B. hygrometrica showed that the plant can survive rapid air-drying after experiencing a slow soil-drying acclimation phase. In addition, a weighted gene co-expression network analysis was used to study the transcriptomic datasets. A network comprising 22 modules was constructed, and seven modules were found to be significantly related to desiccation response using an enrichment analysis. Protein ubiquitination was observed to be a common process linked to hub genes in all the seven modules. Ubiquitin-modified proteins with diversified functions were identified using immunoprecipitation coupled with mass spectrometry. The lowest level of ubiquitination was noted at the full soil drying priming stage, which coincided the accumulation of dehydration-responsive gene BhLEA2. The highly conserved RY motif (CATGCA) was identified from the promoters of ubiquitin-related genes that were downregulated in the desiccated samples. An in silico gene expression analysis showed that the negative regulation of ubiquitin-related genes is potentially mediated via a B3 domain-containing transcription repressor VAL1. This study suggests that priming may involve the transcriptional regulation of several major processes, and the transcriptional regulation of genes in protein ubiquitination may play a hub role to deliver acclimation signals to posttranslational level in the acquisition of desiccation tolerance in B. hygrometrica.


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