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Burbano-Erazo, E.

Publications and source records attributed to Burbano-Erazo, E..

2 recordsLinked to original sources

A photostable version of HY5 confers tolerance to proximity shade and improved defense responses in tomato

Light is essential for plant growth and development. Sustainably feeding a constantly-growing human population will likely involve adapting crop plants to intercropping and high planting density by rational manipulation of light signaling. Here, we edited the tomato (Solanum lycopersicum) genome to generate lines with a light-stable version of ELONGATED HYPOCOTYL 5 (HY5), a master transcription factor involved in the integration of light and hormone signaling. Removing the tomato HY5 N-terminal domain required for interaction with CONSTITUTIVE PHOTOMORPHOGENIC 1 (COP1) prevented light-dependent protein degradation and resulted in a gain-of-function phenotype of short seedlings. Elongation growth was also compromised under proximity shade conditions either simulated by enriching white light (W) with far-red light (W+FR) or achieved by growing plants at a higher density. Transcriptomic analysis of gene expression changes after exposure to W+FR for 24h revealed a reduced number of shade-responsive genes in edited lines compared to unedited, wild-type controls, many of which are related to growth and hormone (notably auxin) biosynthesis and signaling. The reduced elongation observed in edited lines correlated with enhanced resistance to infection by viral, bacterial and fungal pathogens, both under low and high density conditions. These results indicate that our editing approach allows the generation of gain-of-function tomato plants in which HY5 is camouflaged to avoid COP1 recognition and eventual degradation. Our findings therefore provide a biotechnological tool to create more compact and pathogen-resistant plants amenable to high planting densities.

plant biology↗

Multi-environment Genome Wide Association Studies of Yield Traits in Common Bean (Phaseolus vulgaris L.) x Tepary Bean (P. acutifolius A. Gray) Interspecific Advanced Lines at the Humid and Dry Colombian Caribbean Subregions

Genome Wide Associations Studies GWAS are a powerful strategy for the exploration adaptive genetic variation to drought stress in advanced lines in common bean with interspecific genotypes, yet they still lack behind in the use of arid multi-environments as the subregions of the Colombian Caribbean. In order to bridge this gap, we couple an advanced genotypes panel integrated with Common Bean (Phaseolus vulgaris L.) x Tepary Bean (P. acutifolius A. Gray) interspecific lines with GWAS algorithms to identify novel sources of drought tolerance across the subregions of Colombian Caribbean. One of the most important challenges in agriculture is to achieve food security in environments vulnerable to climate change which worsens with the passing of the years. The common bean, a key product of the food basket of vulnerable regions of the Caribbean is affected by the reduction in yield under drought stress. A total of 87 advanced accessions with interspecific lines were genotyped by sequencing (GBS), leading to the discovery of 15,645 single-nucleotide polymorphism (SNP) markers. Five yield traits were developed for each accession and inputted in GWAS algorithms (i.e. FarmCPU, and BLINK) to identify putative associated loci in drought stress. Best-fit models revealed 47 significantly associated alleles distributed in all 11 common bean chromosomes. Flanking candidate genes were identified using 1-kb genomic windows centered in each associated SNP marker. A pathways enriched analysis was carried out using the mapped output in the GWAS step for each yield traits indices. Some of these genes were directly linked to response mechanisms of drought stress to level morphological, physiological, metabolic, signal transduction, and fatty acid and phospholipid metabolism. This work offers putative associated loci for marker-assisted and genomic selection for drought tolerance in common bean. It also demonstrates that it is feasible to identify genome-wide associations with an interspecific panel of genotypes and modern GWAS algorithms in multiples environments.

plant biology↗