| Literature DB >> 31333688 |
Ana Margarida Fortes1, Patricia Agudelo-Romero2,3,4, Diana Pimentel1, Noam Alkan5.
Abstract
Polyamines are growth regulators that have been widely implicated in abiotic and biotic stresses. They are also associated with fruit set, ripening, and regulation of fruit quality-related traits. Modulation of their content confers fruit resilience, with polyamine application generally inhibiting postharvest decay. Changes in the content of free and conjugated polyamines in response to stress are highly dependent on the type of abiotic stress applied or the lifestyle of the pathogen. Recent studies suggest that exogenous application of polyamines or modulation of polyamine content by gene editing can confer tolerance to multiple abiotic and biotic stresses simultaneously. In this review, we explore data on polyamine synthesis and catabolism in fruit related to pre- and postharvest stresses. Studies of mutant plants, priming of stress responses, and treatments with polyamines and polyamine inhibitors indicate that these growth regulators can be manipulated to increase fruit productivity with reduced use of pesticides and therefore, under more sustainable conditions.Entities:
Keywords: abiotic stress; biotic stress; fruit ripening; grape; polyamine; tomato
Year: 2019 PMID: 31333688 PMCID: PMC6614878 DOI: 10.3389/fpls.2019.00816
Source DB: PubMed Journal: Front Plant Sci ISSN: 1664-462X Impact factor: 5.753
Figure 1Expression of genes involved in polyamine metabolism in tomato (A) and grapevine (B) under abiotic stresses: water stress, Ca+ treatment, cold, nordihydroguaiaretic acid (NDGA; an ABA biosynthesis blocker) treatment, ABA, drought, heat, wounding, salt treatment, ammonium treatment, UV-B irradiation, guazatine treatment, and light. Tomato heatmaps were generated using RNAseq (SL2.50 genome) and microarray (GPL4741) approaches. Grape heatmaps were generated using two microarray platforms: GrapeGen (GPL11004) and GeneChip (GPL1320). RNAseq data were downloaded from the Sequence Read Archive repository (SRA; https://www.ncbi.nlm.nih.gov/sra) and microarray data were downloaded from the Gene Expression Omnibus repository (GEO; https://www.ncbi.nlm.nih.gov/geo/) using the GEOquery R library.
Figure 2Expression of genes involved in polyamine metabolism in tomato (A) and grapevine (B) under biotic stresses: Colletotrichum gloeosporioides, Pseudomonas syringae, Sclerotinia sclerotiorum, potato spindle tuber viroid (PSTVd), tobacco rattle virus (TRV), Botrytis cinerea, Colletotrichum coccodes, Phytophthora infestans, Pyrenochaeta lycopersici, Alternaria solani, Ralstonia solanacearum, spider mite, Bois noir, and grapevine leafroll-associated virus 3 (GLRaV-3). Tomato heatmaps were generated using RNAseq (SL2.50 genome) and microarray (GPL4741) approaches. Grape heatmaps were generated using three microarray platforms: NimbleGen (GPL17894), GrapeGen (GPL11004) and GeneChip (GPL1320). RNAseq data were downloaded from the Sequence Read Archive repository (SRA; https://www.ncbi.nlm.nih.gov/sra) and microarray data were downloaded from the Gene Expression Omnibus repository (GEO; https://www.ncbi.nlm.nih.gov/geo/) using the GEOquery R library.