<i><scp>ETHQV</scp>6.3</i> is involved in melon climacteric fruit ripening and is encoded by a <scp>NAC</scp> domain transcription factor

Ríos, Pablo; Argyris, Jason; Vegas, Juan; Leida, Carmen; Kenigswald, Merav; Tzuri, Galil; Troadec, Christelle; Bendahmane, Abdelhafid; Katzir, Nurit; Picó, Belén; Monforte, Antonio J.; García-Más, Jordi

doi:10.1111/tpj.13596

Cited by 73 publications

(93 citation statements)

References 53 publications

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“…Each line was represented by two replicates of five plants per plot. (2) NA×DUL F 3 and F 3:4 – An F3 population from this cross was grown in two repetitions in a greenhouse at Beit Elazari, Israel in 2013 as previously described (Ríos et al , 2017). This population is derived from the cross between the light rind line ‘Noy-Amid’ (NA; C. melo var.…”

Section: Methodsmentioning

confidence: 99%

Multi-allelic APRR2 Gene is Associated with Fruit Pigment Accumulation in Melon and Watermelon

Oren

Tzuri

Vexler

et al. 2019

Preprint

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23Color and pigment content are important aspects of fruit quality and consumer 24 acceptance of cucurbit crops. Here, we describe the independent mapping and cloning 25 of a common causative APRR2 gene regulating pigment accumulation in melon and 26 watermelon. We initially show that the APRR2 transcription factor is causative for the 27 qualitative difference between dark and light green rind in both crops. Further analyses 28 establish the link between sequence or expression level variations in the CmAPRR2 29 gene and pigments content in the rind and flesh of mature melon fruits. GWAS of young 30 fruit rind color in a panel composed of 177 diverse melon accessions did not result in 31 any significant association, leading to an earlier assumption that multiple genes are 32 involved in shaping the overall phenotypic variation at this trait. Through resequencing 33 of 25 representative accessions and allelism tests between light rind accessions, we 34 show that multiple independent SNPs in the CmAPRR2 gene are causative for the light 35 rind phenotype. The multi-haplotypic nature of this gene explain the lack of detection 36 power obtained through GBS-based GWAS and confirm the pivotal role of this gene in 37 shaping fruit color variation in melon. This study demonstrates the power of combining 38 bi-and multi-allelic designs with deep sequencing, to resolve lack of power due to high 39 haplotypic diversity and low allele frequencies. Due to its central role and broad effect 40 on pigment accumulation in fruits, the APRR2 gene is an attractive target for 41 carotenoids bio-fortification of cucurbit crops.42 43

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Section: Methodsmentioning

confidence: 99%

Multi-allelic APRR2 Gene is Associated with Fruit Pigment Accumulation in Melon and Watermelon

Oren

Tzuri

Vexler

et al. 2019

Preprint

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“…These results regarding the genetic relationships between most of the Inodorus accessions of clade IIa (Figure 2) and those of the Kirkagac accessions in clade IIb are significant as they indicate that there may have been two independent evolutionary events leading to non-climacteric ripening, one represented in the large Inodorus Group and the other more closely related to the clade IIb climacteric types. The genetic control of climacteric ripening in C. melo has been studied and found to be due to mutations in just a few genes [46,47]. However, these genetic studies were performed using typical Inodorus accessions as a genetic source for the non-climacteric trait and typical climacteric Cantalupensis (Charentais) accessions.…”

Section: The Metabolomic-based Classification May Indicate That Two Imentioning

confidence: 99%

Comparative Metabolomics and Molecular Phylogenetics of Melon (Cucumis melo, Cucurbitaceae) Biodiversity

et al. 2020

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The broad variability of Cucumis melo (melon, Cucurbitaceae) presents a challenge to conventional classification and organization within the species. To shed further light on the infraspecific relationships within C. melo, we compared genotypic and metabolomic similarities among 44 accessions representative of most of the cultivar-groups. Genotyping-by-sequencing (GBS) provided over 20,000 single-nucleotide polymorphisms (SNPs). Metabolomics data of the mature fruit flesh and rind provided over 80,000 metabolomic and elemental features via an orchestra of six complementary metabolomic platforms. These technologies probed polar, semi-polar, and non-polar metabolite fractions as well as a set of mineral elements and included both flavor- and taste-relevant volatile and non-volatile metabolites. Together these results enabled an estimate of “metabolomic/elemental distance” and its correlation with the genetic GBS distance of melon accessions. This study indicates that extensive and non-targeted metabolomics/elemental characterization produced classifications that strongly, but not completely, reflect the current and extensive genetic classification. Certain melon Groups, such as Inodorous, clustered in parallel with the genetic classifications while other genome to metabolome/element associations proved less clear. We suggest that the combined genomic, metabolic, and element data reflect the extensive sexual compatibility among melon accessions and the breeding history that has, for example, targeted metabolic quality traits, such as taste and flavor.

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“…Their identi cation could help to uncover the transcription regulation that underlies the extensive changes triggered by fruit ripening. TFs associated to ripening in climacteric fruit have been identi ed in apricot [93,94], melon [95], banana [96,97], tomato [98,99], papaya [100,101,102], among others. By 2015, around 1,533 TFs were identi ed in P. persica [20], however just a few have been characterized and even less have been associated to the fruit ripening process.…”

Section: Transcription Factors Assessmentmentioning

confidence: 99%

Shotgun proteomics of peach fruit reveals major metabolic pathways associated to ripening

Nilo-Poyanco

Moraga

Benedetto

et al. 2020

Preprint

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BackgroundFruit ripening in Prunus persica melting varieties involves several physiological changes that have a direct impact on the fruit organoleptic quality and storage potential. By studying the proteomic differences between the mesocarp of mature and ripe fruit, it would be possible to highlight critical molecular processes involved in the fruit ripening.ResultsTo accomplish this goal, the proteome from mature and ripe fruit was assessed from the variety O’Henry through shotgun proteomics using 1D-gel (PAGE-SDS) as fractionation method followed by LC/MS-MS analysis. Data from the 131,435 spectra could be matched to 2,740 proteins, using the peach genome reference v1. After data pre-treatment, 1,663 proteins could be used for comparison with datasets assessed using transcriptomic approaches and for quantitative protein accumulation analysis. Close to 26% of the genes that code for the proteins assessed displayed higher expression at ripe fruit compared to other fruit developmental stages, based on published transcriptomic data. Differential accumulation analysis between mature and ripe fruit revealed that 15% of the proteins identified were modulated by the ripening process, with glycogen and isocitrate metabolism, and protein localization overrepresented in mature fruit, as well as cell wall modification in ripe fruit. Potential biomarkers for the ripening process, due to their differential accumulation and gene expression pattern, included a pectin methylesterase inhibitor, a gibbellerin 2-beta-dioxygenase, an omega-6 fatty acid desaturase, a homeobox-leucine zipper protein and an ACC oxidase. Transcription factors enriched in NAC and Myb protein domains would target preferentially the genes encoding proteins more abundant in mature and ripe fruit, respectively.ConclusionsShotgun proteomics is an unbiased approach to get deeper into the proteome allowing to detect differences in protein abundance between samples. This technique provided a resolution so that individual gene products could be identified. Many proteins likely involved in cell wall and sugar metabolism, aroma and color, change their abundance during the transition from mature to ripe fruit.

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ETHQV6.3 is involved in melon climacteric fruit ripening and is encoded by a NAC domain transcription factor

Cited by 73 publications

References 53 publications

Multi-allelic APRR2 Gene is Associated with Fruit Pigment Accumulation in Melon and Watermelon

Multi-allelic APRR2 Gene is Associated with Fruit Pigment Accumulation in Melon and Watermelon

Comparative Metabolomics and Molecular Phylogenetics of Melon (Cucumis melo, Cucurbitaceae) Biodiversity

Shotgun proteomics of peach fruit reveals major metabolic pathways associated to ripening

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