bioRxivEvolutionary BiologyPreprint
Gene flux drives functional changes in an ancient supergene in Formica lemani
Zul AlamiD, Giulia ScarparoiD, German Lagunas‐RoblesiD, Daniela ZárateiD, Jessica PurcelliD, Alan BrelsfordiD
Abstract
Pinpointing the genetic elements underlying a phenotype within a supergene can be difficult because hundreds of linked genes can show similar associations with phenotype. Rare recombination between supergene haplotypes can help identify those genetic elements by changing haplotype-phenotype combinations. Here we investigate the genetic underpinnings of colony queen number and body size in the ant Formica lemani. Throughout the Formica genus, single-queen colonies typically carry M haplotypes, while multi-queen colonies also carry P haplotypes. In F. lemani, we found two P haplotypes homologous to those described in the closely related F. cinerea, but unlike in F. cinerea, where P1 is restricted to multi-queen colonies, F. lemani P1 is common in both single- and multi-queen colonies. This deviation suggests that P1 may carry novel SNP combinations allowing single queen colony compatibility. By comparing haplotypes within F. lemani and with Formica cinerea, we searched for candidate monogyny variants resulting from gene flux from the M onto the P1 haplotype, or with P1-specific mutations. We found 82 genes associated with candidate variants, of which two are among the fourteen previously suggested candidates in other species, suggesting that several different genes may underlie queen number across the genus. We also identified a supergene associated with smaller queens and males, which is shared with F. cinerea and in interchromosomal linkage disequilibrium with the queen-number supergene. Together, these results provide a rare example of how an ancient supergene can change in function, and a step toward identifying the genes within a supergene responsible for its functions.
- research focus: gene regulatory network inference
- research focus: differential expression
- research focus: variant calling
- approach: statistical model
- Citations
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