Increasing plant group productivity through latent genetic variation for cooperation

Area of Science:

• Plant genetics
• Evolutionary biology
• Agricultural science

Background:

• Crop yield improvements often rely on selecting for traits that benefit plant groups in dense stands.
• These cooperative traits can reduce individual plant fitness, posing challenges for traditional breeding focused on individual selection.
• Selfish traits may be favored in individual selection, negatively impacting yields in high-density monocultures.

Purpose of the Study:

• To develop a general and simple method for discovering alleles that promote cooperation in plant stands.
• To leverage game-theoretical principles to identify alleles beneficial to monocultures but detrimental to individuals facing non-cooperative neighbors.
• To explore the genetic basis of cooperation in plants and its potential for crop improvement.

Main Methods:

• Utilized a game-theoretical framework to define conditions favoring cooperative alleles.
• Applied the method to the model plant Arabidopsis thaliana for empirical testing.
• Identified major effect loci associated with cooperative traits in high-density stands.

Main Results:

• Discovered a major effect locus where a rare allele increased cooperation and productivity in high-density stands.
• The identified allele demonstrated pleiotropic effects, including reduced root competition and enhanced disease resistance.
• Found evidence that conflicting selective pressures on pleiotropic genes can maintain genetic variation for cooperation.

Conclusions:

• The developed method effectively identifies alleles promoting plant cooperation and yield in dense stands.
• Pleiotropic genes, influenced by conflicting selection, can harbor latent genetic variation for cooperation.
• This variation can be rapidly utilized in crop breeding programs to enhance agricultural productivity.