Genomic Dissection of a Wild Region in a Superior Solanum pennellii Introgression Sub-Line with High Ascorbic Acid Accumulation in Tomato Fruit

Abstract

The Solanum pennellii introgression lines (ILs) have been exploited to map quantitative trait loci (QTLs) and identify favorable alleles that could improve fruit quality traits in tomato varieties. Over the past few years, ILs exhibiting increased content of ascorbic acid in the fruit have been selected, among which the sub-line R182. The aims of this work were to identify the genes of the wild donor S. pennellii harbored by the sub-line and to detect genes controlling ascorbic acid accumulation by using genomics tools. A Genotyping-By-Sequencing (GBS) approach confirmed that no wild introgressions were present in the sub-line besides one region on chromosome 7. By using a dense single nucleotide polymorphism (SNP) map obtained by RNA sequencing (RNA-Seq), the wild region of the sub-line was finely identified; thus, defining 39 wild genes that replaced 33 genes of the ILs genetic background (cv. M82). The differentially expressed genes mapping in the region and the variants detected among the cultivated and the wild alleles evidenced the potential role of the novel genes present in the wild region. Interestingly, one upregulated gene, annotated as a major facilitator superfamily protein, showed a novel structure in R182, with respect to the parental lines. These genes will be further investigated using gene editing strategies.

Hydraulic Efficiency of Green-Blue Flood Control Scenarios for Vegetated Rivers: 1D and 2D Unsteady Simulations

“…It is crucial to highlight that the outcomes of the present study refer to a single riparian vegetation species (common reed beds), while, in a more realistic perspective, the combined effect of two or more species represent a source of uncertainty which inevitably propagates in the vegetative Manning's n hydraulic roughness coefficient associated with each simulated cross-section, quantitatively varying in a wider range of values. Thus, this uncertainty could be reduced by implementing more complex and rigorous numerical analyses, obtained by coupling high-performance computational fluid dynamics (CFD) models [49][50][51][52][53] and simulations [54][55][56][57][58][59][60][61] with the most advanced remote sensing techniques of fluvial hydraulics, agro-forestry and land use governance interest [62][63][64][65][66][67][68][69][70][71].…”

Accelerating the Development of Heat Tolerant Tomato Hybrids through a Multi-Traits Evaluation of Parental Lines Combining Phenotypic and Genotypic Analysis

“…2, Tm-2, Ty-3 1 For fruit set: HH ≥ 70%; H = 50-70%; M = 30-50%; 2 For yield production: H ≥ 3.0 kg/pt; M = 2.0-3.0 kg/pt; L ≤ 2.0 kg/pt; 3 For fruit quality: H = both market and nutritional good quality traits; M = marketable or nutritional good quality traits; L = neither marketable nor nutritional good quality traits [22]; 4 For genetic distance: H = average IBS < 0.7; M = 0.7 < average IBS < 0.9; L = average IBS > 0.9; 5 For genetic variability in PRG database: H ≥ 40% of polymorphic PRGs; M = 20-40%; L ≤ 20%.…”

“…In particular, HT negatively affect plants during their entire life cycle, especially during reproductive phases, leading to harvest losses in several crops [2]. Tomato (S. lycopersicum L.) is one of the most widely grown vegetables worldwide and is regarded as a relevant functional food, widely used in the Mediterranean diet [3,4]. Notwithstanding its subtropical origin, tomato is negatively affected by HT.…”

“…set: HH ≥ 70%; H = 50-70%; M = 30-50%; 2 For yield production: H ≥ 3.0 kg/pt; M = 2.0-3.0 kg/pt; L ≤ 2.0 kg/pt;3 …”

Regulation of Vitamin C Accumulation for Improved Tomato Fruit Quality and Alleviation of Abiotic Stress

“…Several genes involved in pectin degradation such as polygalacturonase ( PG ), pectinmethylesterase ( PME ), and UDP- d -glucuronic-acid-4-epimerase were also found to enhance the AsA pool via the alternative d -galacturonate pathway [ 60 ]. Recently, a group of genes related to sugar and hormone pathways were mapped within, and out of, the introgressed region of IL 12-4, and thus considered candidate genes regulating the AsA pool in the fruit of the sub-line [ 61 ]. Recombinant inbred lines have been also employed to identify key genes governing AsA levels in tomato fruits, evidencing the co-regulation of AsA and hormone metabolism [ 62 ].…”