Evolutionary Dynamics of the SKN-1 → MED → END-1,3 Regulatory Gene Cascade in Caenorhabditis Endoderm Specification

• Main Author: Morris F. Maduro
• Format: Article
• Language: English
• Published: Oxford University Press 2020-01-01
• Series: G3: Genes, Genomes, Genetics
• Subjects: gata factors; cell fate specification; gene regulatory network; developmental system drift; caenorhabditis
• Online Access: http://g3journal.org/lookup/doi/10.1534/g3.119.400724

Gene regulatory networks and their evolution are important in the study of animal development. In the nematode, Caenorhabditis elegans, the endoderm (gut) is generated from a single embryonic precursor, E. Gut is specified by the maternal factor SKN-1, which activates the MED → END-1,3 → ELT-2,7 cascade of GATA transcription factors. In this work, genome sequences from over two dozen species within the Caenorhabditis genus are used to identify MED and END-1,3 orthologs. Predictions are validated by comparison of gene structure, protein conservation, and putative cis-regulatory sites. All three factors occur together, but only within the Elegans supergroup, suggesting they originated at its base. The MED factors are the most diverse and exhibit an unexpectedly extensive gene amplification. In contrast, the highly conserved END-1 orthologs are unique in nearly all species and share extended regions of conservation. The END-1,3 proteins share a region upstream of their zinc finger and an unusual amino-terminal poly-serine domain exhibiting high codon bias. Compared with END-1, the END-3 proteins are otherwise less conserved as a group and are typically found as paralogous duplicates. Hence, all three factors are under different evolutionary constraints. Promoter comparisons identify motifs that suggest the SKN-1, MED, and END factors function in a similar gut specification network across the Elegans supergroup that has been conserved for tens of millions of years. A model is proposed to account for the rapid origin of this essential kernel in the gut specification network, by the upstream intercalation of duplicate genes into a simpler ancestral network.