The genetics underlying natural variation ...
Document type :
Compte-rendu et recension critique d'ouvrage
DOI :
PMID :
Title :
The genetics underlying natural variation of plant-plant interactions, a beloved but forgotten member of the family of biotic interactions
Author(s) :
Subrahmaniam, Harihar Jaishree [Auteur]
Libourel, Cyril [Auteur]
Laboratoire des interactions plantes micro-organismes [LIPM]
Journet, Etienne-Pascal [Auteur]
AGroécologie, Innovations, teRritoires [AGIR]
Morel, Jean-Benoit [Auteur]
Biologie et Génétique des Interactions Plante-Parasite [UMR BGPI]
Munos, Stephane [Auteur]
Laboratoire des interactions plantes micro-organismes [LIPM]
Niebel, Andreas [Auteur]
Laboratoire des interactions plantes micro-organismes [LIPM]
Raffaele, Sylvain [Auteur]
Laboratoire des interactions plantes micro-organismes [LIPM]
Roux, Fabrice [Auteur]
Évolution, Écologie et Paléontologie (Evo-Eco-Paleo) - UMR 8198 [Evo-Eco-Paléo (EEP)]
Libourel, Cyril [Auteur]
Laboratoire des interactions plantes micro-organismes [LIPM]
Journet, Etienne-Pascal [Auteur]
AGroécologie, Innovations, teRritoires [AGIR]
Morel, Jean-Benoit [Auteur]
Biologie et Génétique des Interactions Plante-Parasite [UMR BGPI]
Munos, Stephane [Auteur]
Laboratoire des interactions plantes micro-organismes [LIPM]
Niebel, Andreas [Auteur]
Laboratoire des interactions plantes micro-organismes [LIPM]
Raffaele, Sylvain [Auteur]
Laboratoire des interactions plantes micro-organismes [LIPM]
Roux, Fabrice [Auteur]
Évolution, Écologie et Paléontologie (Evo-Eco-Paleo) - UMR 8198 [Evo-Eco-Paléo (EEP)]
Journal title :
Plant Journal
Pages :
747-770
Publisher :
Wiley
Publication date :
2018-02
ISSN :
0960-7412
Keyword(s) :
cooperation
mutualism
parasitic plant
mutualism
parasitic plant
English keyword(s) :
GWA mapping
QTL mapping
allelopathy
altruism
competition
diffuse biotic interactions
gene expression
QTL mapping
allelopathy
altruism
competition
diffuse biotic interactions
gene expression
HAL domain(s) :
Sciences du Vivant [q-bio]/Génétique/Génétique des plantes
English abstract : [en]
Despite the importance of plant-plant interactions on crop yield and plant community dynamics, our understanding of the genetic and molecular bases underlying natural variation of plant-plant interactions is largely limited ...
Show more >Despite the importance of plant-plant interactions on crop yield and plant community dynamics, our understanding of the genetic and molecular bases underlying natural variation of plant-plant interactions is largely limited in comparison with other types of biotic interactions. By listing 63 quantitative trait loci (QTL) mapping and global gene expression studies based on plants directly challenged by other plants, we explored whether the genetic architecture and the function of the candidate genes underlying natural plant-plant interactions depend on the type of interactions between two plants (competition versus commensalism versus reciprocal helping versus asymmetry). The 16 transcriptomic studies are unevenly distributed between competitive interactions (n = 12) and asymmetric interactions (n = 4, all focusing on response to parasitic plants). By contrast, 17 and 30 QTL studies were identified for competitive interactions and asymmetric interactions (either weed suppressive ability or response to parasitic plants), respectively. Surprisingly, no studies have been carried out on the identification of genetic and molecular bases underlying natural variation in positive interactions. The candidate genes underlying natural plant-plant interactions can be classified into seven categories of plant function that have been identified in artificial environments simulating plant-plant interactions either frequently (photosynthesis, hormones), only recently (cell wall modification and degradation, defense pathways against pathogens) or rarely (ABC transporters, histone modification and meristem identity/life history traits). Finally, we introduce several avenues that need to be explored in the future to obtain a thorough understanding of the genetic and molecular bases underlying plant-plant interactions within the context of realistic community complexity.Show less >
Show more >Despite the importance of plant-plant interactions on crop yield and plant community dynamics, our understanding of the genetic and molecular bases underlying natural variation of plant-plant interactions is largely limited in comparison with other types of biotic interactions. By listing 63 quantitative trait loci (QTL) mapping and global gene expression studies based on plants directly challenged by other plants, we explored whether the genetic architecture and the function of the candidate genes underlying natural plant-plant interactions depend on the type of interactions between two plants (competition versus commensalism versus reciprocal helping versus asymmetry). The 16 transcriptomic studies are unevenly distributed between competitive interactions (n = 12) and asymmetric interactions (n = 4, all focusing on response to parasitic plants). By contrast, 17 and 30 QTL studies were identified for competitive interactions and asymmetric interactions (either weed suppressive ability or response to parasitic plants), respectively. Surprisingly, no studies have been carried out on the identification of genetic and molecular bases underlying natural variation in positive interactions. The candidate genes underlying natural plant-plant interactions can be classified into seven categories of plant function that have been identified in artificial environments simulating plant-plant interactions either frequently (photosynthesis, hormones), only recently (cell wall modification and degradation, defense pathways against pathogens) or rarely (ABC transporters, histone modification and meristem identity/life history traits). Finally, we introduce several avenues that need to be explored in the future to obtain a thorough understanding of the genetic and molecular bases underlying plant-plant interactions within the context of realistic community complexity.Show less >
Language :
Anglais
Popular science :
Non
ANR Project :
Comment :
BGPI : équipe 4 Interactions Céréales Agents Pathogènes (ICAP)
Source :