QTL and candidate gene analyses of rootstock-mediated tomato fruit yield and quality traits under low iron stress

Asíns, M. J.; Raga, M. V.; Torrent, Daniel; Roca, Dolors; Carbonell, E. A.

doi:10.1007/s10681-020-02599-6

Cited by 15 publications

(12 citation statements)

References 57 publications

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“…Aside from the fact that the wild parent S. elaeagnifolium is a species that grows in poor environments where the N is low [16,18], the evaluation of the advanced backcrosses allowed us to determine genetic parameters of great relevance for important traits in eggplant breeding, including the detection of putative QTLs for some of them. Similar studies were published on QTL detection in tomato under abiotic stress conditions [69,70] but not under low N conditions.…”

Section: Discussionsupporting

confidence: 77%

Evaluation of Advanced Backcrosses of Eggplant with Solanum elaeagnifolium Introgressions under Low N Conditions

et al. 2021

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Selection and breeding of eggplant (Solanum melongena) materials with good performance under low nitrogen (N) fertilization inputs is a major breeding objective to reduce environmental degradation, risks for human health, and production costs. Solanum elaeagnifolium, an eggplant wild relative, is a potential source of variation for introgression breeding in eggplant. We evaluated 24 plant, fruit, and composition traits in a set of genotyped advanced backcrosses (BC2 and BC3) of eggplant with S. elaeagnifolium introgressions under low N conditions. Significant differences were found between the two parents for most traits, and a wide phenotypic diversity was observed in the advanced backcrosses, with some individuals with a much higher yield, nitrogen use efficiency (NUE), and phenolics content than the S. melongena parent. In general, the lower the proportion of S. elaeagnifolium genome introgressed in the advanced backcrosses, the higher was the general phenotypic resemblance to S. melongena. Putative QTLs were detected for stem diameter (pd4), presence of prickles in stem (ps6), leaf (pl6) and fruit calyx (pc6), fruit width (fw7), chlorogenic acid content (cg5), total phenolic acid peaks area (ph6), chlorogenic acid peak area (ca1), and phenolic acids pattern (cp1). Our results reveal that introgression breeding of eggplant with S. elaeagnifolium has a great interest for eggplant breeding, particularly for adaptation to low N conditions. These materials can potentially contribute to the development of improved eggplant varieties for a more sustainable agriculture.

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Section: Discussionsupporting

confidence: 77%

Evaluation of Advanced Backcrosses of Eggplant with Solanum elaeagnifolium Introgressions under Low N Conditions

et al. 2021

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“…Note that the increasing allele (the allele increasing the trait mean) at those QTLs (except for FlN_WD_4.2 within cluster V) was from S. lycopersicum , however, due to the epistatic interactions detected for ShDW and ShWC under water deficit, the best (increasing) genotype is conditioned to the presence of a S. pimpinellifolium allele at a second locus ( Figure S2 ). In the case of ShDW_WD_3 (cluster III), this locus at SNP 1495 corresponds to a previously reported QTL for iron concentrations in leaf and fruit under low iron availability (Fe_F/L_12 in [ 50 ]), in agreement with the known effect of drought on plant nutrient acquisition [ 27 , 38 ]. These results suggest the importance of considering epistatic interactions regarding marker-assisted selection when using wild germplasm.…”

Section: Discussionsupporting

confidence: 84%

“…Very few QTLs were detected for the xylem concentration of nutrients in well-watered plants ( Table 2 ): 3 for B, 1 for Mg, 1 for Na, and 2 for Sr. Except for that of Na (Na_C_7) at the same position as Na_WD_7, which must correspond to the Na transporter HKT1 (as found in previous studies using this RIL population; [ 46 , 50 , 51 ]), no other was detected under water stress. Interestingly, xylem concentrations of some nutrients (Mn, Mg, Ca, Sr, Zn, P, and S) were associated under both watering regimes as visualized in the principal component analysis ( Figure 2 , Table S3 ), but the clustering of QTLs controlling these traits (QTL clusters II, IV, VI, VII, VIII, and XI in Table S4 ), genetically supporting such association, was only detected under water deficit.…”

Section: Discussionsupporting

confidence: 56%

Genetic Analysis of Root-to-Shoot Signaling and Rootstock-Mediated Tolerance to Water Deficit in Tomato

Asíns

Albacete

Martínez‐Andújar

et al. 2020

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Developing drought-tolerant crops is an important strategy to mitigate climate change impacts. Modulating root system function provides opportunities to improve crop yield under biotic and abiotic stresses. With this aim, a commercial hybrid tomato variety was grafted on a genotyped population of 123 recombinant inbred lines (RILs) derived from Solanum pimpinellifolium, and compared with self- and non-grafted controls, under contrasting watering treatments (100% vs. 70% of crop evapotranspiration). Drought tolerance was genetically analyzed for vegetative and flowering traits, and root xylem sap phytohormone and nutrient composition. Under water deficit, around 25% of RILs conferred larger total shoot dry weight than controls. Reproductive and vegetative traits under water deficit were highly and positively correlated to the shoot water content. This association was genetically supported by linkage of quantitative trait loci (QTL) controlling these traits within four genomic regions. From a total of 83 significant QTLs, most were irrigation-regime specific. The gene contents of 8 out of 12 genomic regions containing 46 QTLs were found significantly enriched at certain GO terms and some candidate genes from diverse gene families were identified. Thus, grafting commercial varieties onto selected rootstocks derived from S. pimpinellifolium provides a viable strategy to enhance drought tolerance in tomato.

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“…A recent study in tomato identified 103 QTLs, out of which six QTLs were for fruit and leaf Fe contents while eight QTLs were for yield Fe content (FeUEc). Also, two relevant candidate genes encoding for specific proteins of tomato xylem sap were identified under Fe deficiency, thus affecting fruit yield and quality traits ( Asins et al, 2020 ). Eight QTLs were detected for Al resistance in common bean ( Phaseolus vulgaris ) with a phenotypic variation of 7.6–14.7%.…”

Section: Seven-(omics)-based Approaches To Improve Toxic Metals/metalloids Tolerance In Plantsmentioning

confidence: 99%

Advances in “Omics” Approaches for Improving Toxic Metals/Metalloids Tolerance in Plants

et al. 2022

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Food safety has emerged as a high-urgency matter for sustainable agricultural production. Toxic metal contamination of soil and water significantly affects agricultural productivity, which is further aggravated by extreme anthropogenic activities and modern agricultural practices, leaving food safety and human health at risk. In addition to reducing crop production, increased metals/metalloids toxicity also disturbs plants’ demand and supply equilibrium. Counterbalancing toxic metals/metalloids toxicity demands a better understanding of the complex mechanisms at physiological, biochemical, molecular, cellular, and plant level that may result in increased crop productivity. Consequently, plants have established different internal defense mechanisms to cope with the adverse effects of toxic metals/metalloids. Nevertheless, these internal defense mechanisms are not adequate to overwhelm the metals/metalloids toxicity. Plants produce several secondary messengers to trigger cell signaling, activating the numerous transcriptional responses correlated with plant defense. Therefore, the recent advances in omics approaches such as genomics, transcriptomics, proteomics, metabolomics, ionomics, miRNAomics, and phenomics have enabled the characterization of molecular regulators associated with toxic metal tolerance, which can be deployed for developing toxic metal tolerant plants. This review highlights various response strategies adopted by plants to tolerate toxic metals/metalloids toxicity, including physiological, biochemical, and molecular responses. A seven-(omics)-based design is summarized with scientific clues to reveal the stress-responsive genes, proteins, metabolites, miRNAs, trace elements, stress-inducible phenotypes, and metabolic pathways that could potentially help plants to cope up with metals/metalloids toxicity in the face of fluctuating environmental conditions. Finally, some bottlenecks and future directions have also been highlighted, which could enable sustainable agricultural production.

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QTL and candidate gene analyses of rootstock-mediated tomato fruit yield and quality traits under low iron stress

Abstract: QTL and candidate gene analyses of rootstock-mediated tomato fruit yield and quality traits under low iron stress. Euphytica, 216(4), 1-19.

Cited by 15 publications

References 57 publications

Evaluation of Advanced Backcrosses of Eggplant with Solanum elaeagnifolium Introgressions under Low N Conditions

Evaluation of Advanced Backcrosses of Eggplant with Solanum elaeagnifolium Introgressions under Low N Conditions

Genetic Analysis of Root-to-Shoot Signaling and Rootstock-Mediated Tolerance to Water Deficit in Tomato

Advances in “Omics” Approaches for Improving Toxic Metals/Metalloids Tolerance in Plants

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