Melon (Cucumis melo) fruits exhibit phenotypic diversity in several key quality determinants such as taste, color and aroma. Sucrose, carotenoids and volatiles are recognized as the key compounds shaping the above corresponding traits yet the full network of biochemical events underlying their synthesis have not been comprehensively described. To delineate the cellular processes shaping fruit quality phenotypes, a population of recombinant inbred lines (RIL) was used as a source of phenotypic and genotypic variations. In parallel, ripe fruits were analyzed for both the quantified level of 77 metabolic traits directly associated with fruit quality and for RNA-seq based expression profiles generated for 27,000 unigenes. First, we explored inter-metabolite association patterns; then, we described metabolites versus gene association patterns; finally, we used the correlation-based associations for predicting uncharacterized synthesis pathways. Based on metabolite versus metabolite and metabolite versus gene association patterns, we divided metabolites into two key groups: a group including ethylene and aroma determining volatiles whose accumulation patterns are correlated with the expression of genes involved in the glycolysis and TCA cycle pathways; and a group including sucrose and color determining carotenoids whose accumulation levels are correlated with the expression of genes associated with plastid formation. The study integrates multiple processes into a genome scale perspective of cellular activity. This lays a foundation for deciphering the role of gene markers associated with the determination of fruit quality traits.
Sweet basil, Ocimum basilicum L., is a well-known culinary herb grown worldwide, but its uses go beyond the kitchen to traditional medicine, cosmetics and gardening. To date, the lack of an available reference genome has limited the utilization of advanced molecular breeding methods. We present a draft version of the sweet basil genome of the cultivar ‘Perrie’, a fresh-cut Genovese-type basil. Genome sequencing showed basil to be a tetraploid organism with a genome size of 2.13 Gbp, assembled in 12,212 scaffolds, with > 90% of the assembly being composed of 107 scaffolds. About 76% of the genome is composed of repetitive elements, with the majority being long-terminal repeats. We constructed and annotated 62,067 protein-coding genes and determined their expression in different plant tissues. We analysed the currently known phenylpropanoid volatiles biosynthesis genes. We demonstrated the necessity of the reference genome for a comprehensive understanding of this important pathway in the context of tetraploidy and gene redundancy. A complete reference genome is essential to overcome this redundancy and to avoid off-targeting when designing a CRISPR: Cas9-based genome editing research. This work bears promise for developing fast and accurate breeding tools to provide better cultivars for farmers and improved products for consumers.
Headspace solid-phase microextraction (HS-SPME) coupled to gas chromatography–mass spectrometry (GC-MS) is widely employed for volatile analyses of plants, including mapping populations used in plant breeding research. Studies often employ a single internal surrogate standard, even when multiple analytes are measured, with the assumption that any relative changes in matrix effects among individuals would be similar for all compounds, i.e., matrix effects do not show Compound × Individual interactions. We tested this assumption using individuals from two plant populations: an interspecific grape (Vitis spp.) mapping population (n = 140) and a tomato (Solanum spp.) recombinant inbred line (RIL) population (n = 148). Individual plants from the two populations were spiked with a cocktail of internal standards (n = 6, 9, respectively) prior to HS-SPME-GC-MS. Variation in the relative responses of internal standards indicated that Compound × Individual interactions exist but were different between the two populations. For the grape population, relative responses among pairs of internal standards varied considerably among individuals, with a maximum of 249% relative standard deviation (RSD) for the pair of [U13C]hexanal and [U13C]hexanol. However, in the tomato population, relative responses of internal standard pairs varied much less, with pairwise RSDs ranging from 8% to 56%. The approach described in this paper could be used to evaluate the suitability of using surrogate standards for HS-SPME-GC-MS studies in other plant populations.
Sweet basil, Ocimum basilicum L., is an important culinary herb grown worldwide. Although basil is green, many landraces, breeding lines, and exotic cultivars have purple stems and flowers. This anthocyanin pigmentation is unacceptable in traditional Italian basil used for Pesto sauce production. In the current study, we aimed to resolve the genetics that underlines the different colors. We used the recently published sweet basil genome to map quantitative trait loci (QTL) for flower and stem color in a bi‐parental F2 population. It was found that the pigmentation is governed by a single QTL, harboring an anthocyanidin synthase (ANS) gene (EC 1.14.20.4). Further analysis revealed that the basil genome harbors two homeologous ANS genes, each carrying a loss‐of‐function mutation. ObANS1 carries a single base pair insertion resulting in a frameshift, and ObANS2 carries a missense mutation within the active site. In the purple‐flower parent, ANS1 is functional, and ANS2 carries a nonsense mutation. The functionality of the ObANS1 active allele was validated by complementation assay in an Arabidopsis ANS mutant. Moreover, we have restored the functionality of the missense‐mutated ObANS2 using site‐directed activation. We found that the non‐functional alleles were expressed to similar levels as the functional allele, suggesting polyploids invest futile effort in expressing non‐functional genes, offsetting their advantageous redundancy. This work demonstrated the usefulness of the genomics and genetics of basil to understand the basic mechanism of metabolic traits and raise fundamental questions in polyploid plant biology.