Home
 /
Papers
 /
Plant Biology
 /
A neofunctionalized flowering antagonist created an evolutionary contingency that channeled Solanaceae adaptation
Preprint
Open access
V1
Top 1% · Validated by QED

A neofunctionalized flowering antagonist created an evolutionary contingency that channeled Solanaceae adaptation

Hagai Shohat, Danielle Ciren, Andrea Arrones +17 more
February 2026
 ·
bioRxiv
 ·
DOI 
10.64898/2026.02.20.707063
94
%
Reproducible
QED Impressions
This paper passed independent validation.
QED's automated review checked the evidence supporting each claim, the statistical methods, and whether the results are reproducible from the data provided.

It ranks in the top 1% of preprints assessed in Plant Biology this quarter.
Run full QED analysis
Read paper
Save

Why this is interesting

By demonstrating that a neofunctionalized antiflorigen was convergently targeted across independent domestications and wild adaptations over 50 million years, this work reframes gene duplication as a force that creates evolutionary contingencies biasing how lineages adapt.

QED claims analysis

Summary

A neofunctionalized flowering antagonist SP5G, which evolved from the florigen gene family prior to Solanaceae diversification, created an evolutionary contingency that repeatedly channeled flowering-time adaptations across wild and domesticated lineages spanning 50 million years of evolution, with independent loss-of-function mutations through cis-regulatory deletions, coding deletions, and transposon insertions selected during domestication of tomato, Brinjal eggplant, Gboma eggplant, and Scarlet eggplant, as well as through progressive cis-regulatory degradation in wild species adaptations.

See full analysis
Main Claim 1 –

Recurrent flowering-time shifts underlie independent Solanaceae adaptations

Supporting evidence

  • Tomato SP5G 52-bp deletion alone insufficient for domestication flowering
  • Sequential SP5G cis-regulatory variants stepwise accelerated tomato domestication flowering
Main Claim 2 –

Independent SP5G loss-of-function drove early flowering across Solanum crops

Supporting evidence

  • Transposon insertion silences SmacSP5G, accelerating Gboma eggplant flowering
  • SP5G expression alleles drive flowering divergence in Scarlet eggplant groups
Main Claim 3 –

cis-Regulatory SP5G dosage reductions drive wild Solanaceae flowering evolution

Supporting evidence

  • Cumulative disruption of SP5G conserved noncoding sequences strongly accelerates flowering
Main Claim 4 –

Neofunctionalized SP5G antagonism created contingency shaping Solanaceae adaptation

Abstract

Neofunctionalization is a rare fate of gene duplication, classically defined as the acquisition of novel functions that potentiate the emergence of new traits. Rather than evolving to function autonomously, neofunctionalized genes may also remain embedded within their ancestral regulatory networks, potentially reshaping the genetic trajectories through which phenotypic change occurs. Testing this hypothesis, we leveraged a pan-genetic platform comprising ten Solanaceae species and show that a paralog of the flowering hormone florigen neofunctionalized into a flowering antagonist and was repeatedly selected during crop domestication and adaptation of wild plants across 50 million years of evolution. Independent selection of cis-regulatory and coding mutations in SELF-PRUNING 5G (SP5G) enabled rapid flowering in the wild ancestor of domesticated tomato from Central America as well as major and indigenous eggplant crop lineages domesticated in Asia and Africa. We further found that cis-regulatory sequence changes reduced SP5G expression and flowering time in wild species native to distinct environments in the Americas and Australia, relationships that we validated by genome editing. Together with similar patterns observed across diverse species and developmental networks, we propose that antagonistic neofunctionalized paralogs create evolutionary contingencies that channel adaptive trajectories across plant lineages.

Related papers

How the QED Score works

QED Score is a validated AI-based quality metric that evaluates life science papers on two dimensions: originality and validity. Each manuscript is anonymized, broken down into its claims and supporting evidence, and examined by specialized AI agents for statistical rigor, consistency across figures, and fit with the existing literature. Scores are percentile ranks, so they're comparable across fields. In blinded tests, expert professors sided with QED Score over journal rank in 75% of decisive cases.
Read the methodology

Free access for academic researchers

Create your free QED account to validate your research, strengthen grant proposals, and uncover scientific insights.
We've sent you an access link.
Please check your inbox.

Didn't get your email? Check your spam folder or reach out to info@qedscience.com

Oops! Something went wrong while submitting the form.
Looking for QED for pharma, biotech or life science organizations?