Hiring in life sciences? Share your open positions with our professional community. Read more Close

Advertisement

Evolutionary contingency facilitates scent divergence in an emergent orchid population

Created on 03 Oct 2026

Authors

Liu, J. W., Darragh, K., Guizar Amador, M. F., Mai, D., Dean, C. A., Bogarin, D., Ramirez, S. R.

Abstract

Reproductive isolation can evolve rapidly even among populations with extensive genetic similarity, but the mechanisms underlying this divergence remain an open question in evolutionary biology. Here, we investigate the genetic basis of floral scent divergence, a key trait mediating differential pollinator attraction, in a group of nascent Gongora orchid lineages that occur in sympatry. We combined whole-genome resequencing and floral transcriptomics to characterize the transition from the monoterpene-emitting 'M chemotype' to the pollinator-isolated phenylpropanoid-emitting 'A chemotype' nested within it. While overall genetic differentiation was low, a few highly differentiated regions contained candidate genes in biosynthetic pathways. Of particular interest was a putative o-methyltransferase exhibiting evidence of a recent selective sweep in the A chemotype, with much higher expression in scent-emitting floral tissues of A than in M. Transcriptomic comparison with a more distantly related monoterpene-emitting lineage ('X chemotype') further revealed the coordinated and elevated expression of phenylpropanoid biosynthetic genes in M despite its absence of aromatic floral volatiles, including a putative key enzyme potentially involved in directing metabolic flux towards monolignol biosynthesis. Together, our results support a model in which pre-existing activity in a metabolic pathway may facilitate the evolution of a novel floral scent phenotype, potentially making transitions across the adaptive landscape of scent more accessible than others. We propose that such evolutionary contingency may help explain how divergent scent profiles, and consequently, reproductive isolation, can evolve rapidly via few genetic changes.

Preprint server: bioRxiv
The authors list and abstract were imported from bioRxiv on 03 Oct 2026.

Advertisement

Stats

  • Community rating n/a 0 votes
  • Your rating

1-terrible, 9-excellent. How would you rate this preprint? Sign in in to submit your rating.

  • Recommendations n/a n/a positive of 0 vote(s)
  • Views 11
  • Comments 0

Recommended by

  • No recommendations yet.

Post a comment

You need to be signed in to post comments. You can sign in here.

Comments

There are no comments yet.

Advertisement