Laurent Kamel1,2, Michelle Keller-Pearson3,4, Christophe Roux1, Jean-Michel Ané3,5. 1. Laboratoire de Recherche en Sciences Végétales, Université de Toulouse, UPS, CNRS 24 Chemin de Borde Rouge-Auzeville, BP 42617, 31326, Castanet-Tolosan, France. 2. Agronutrition SA, rue Pierre et Marie Curie Immeuble Biostep, 31670, Labège, France. 3. Department of Bacteriology, University of Wisconsin - Madison, Madison, WI, 53706, USA. 4. Department of Plant Pathology, University of Wisconsin - Madison, Madison, WI, 53706, USA. 5. Department of Agronomy, University of Wisconsin - Madison, Madison, WI, 53706, USA.
Abstract
531 I. 531 II. 532 III. 532 IV. 534 V. 534 535 References 535 SUMMARY: Arbuscular mycorrhizal (AM) fungi associate with the vast majority of land plants, providing mutual nutritional benefits and protecting hosts against biotic and abiotic stresses. Significant progress was made recently in our understanding of the genomic organization, the obligate requirements, and the sexual nature of these fungi through the release and subsequent mining of genome sequences. Genomic and genetic approaches also improved our understanding of the signal repertoire used by AM fungi and their plant hosts to recognize each other for the initiation and maintenance of this association. Evolutionary and bioinformatic analyses of host and nonhost plant genomes represent novel ways with which to decipher host mechanisms controlling these associations and shed light on the stepwise acquisition of this genetic toolkit during plant evolution. Mining fungal and plant genomes along with evolutionary and genetic approaches will improve understanding of these symbiotic associations and, in the long term, their usefulness in agricultural settings.
531 I. 531 II. 532 III. 532 IV. 534 V. 534 535 References 535 SUMMARY: Arbuscular mycorrhizal (AM) fungi associate with the vast majority of land plants, providing mutual nutritional benefits and protecting hosts against biotic and abiotic stresses. Significant progress was made recently in our understanding of the genomic organization, the obligate requirements, and the sexual nature of these fungi through the release and subsequent mining of genome sequences. Genomic and genetic approaches also improved our understanding of the signal repertoire used by AM fungi and their plant hosts to recognize each other for the initiation and maintenance of this association. Evolutionary and bioinformatic analyses of host and nonhost plant genomes represent novel ways with which to decipher host mechanisms controlling these associations and shed light on the stepwise acquisition of this genetic toolkit during plant evolution. Mining fungal and plant genomes along with evolutionary and genetic approaches will improve understanding of these symbiotic associations and, in the long term, their usefulness in agricultural settings.
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