Study of intra-varietal diversity in biotypes of Aglianico and Muscat of Alexandria (<i>Vitis vinifera</i>L.) cultivars

Lorenzis, Gabriella De; Squadrito, M; Rossoni, Mara; Lorenzo, G. Simone Di; Brancadoro, Lucio; Scienza, A.

doi:10.1111/ajgw.12247

Cited by 17 publications

(22 citation statements)

References 46 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The carotenoid and chlorophyll content of the berry samples was determined by high‐performance liquid chromatography (HPLC) as previously described (Mendes‐Pinto et al ., ) with minor modifications (Kamffer et al ., ). The norisoprenoid content was determined during ripening by solid‐phase micro‐extraction and gas chromatography/mass spectrometry (GC‐MS) as previously described (De Lorenzis et al ., ). The flavonol and HCA content was determined by HPLC as previously described (De Lorenzis et al ., ).…”

Section: Methodsmentioning

confidence: 97%

See 1 more Smart Citation

Grapevine field experiments reveal the contribution of genotype, the influence of environment and the effect of their interaction (G×E) on the berry transcriptome

et al. 2018

View full text Add to dashboard Cite

Changes in the performance of genotypes in different environments are defined as genotype × environment (G×E) interactions. In grapevine (Vitis vinifera), complex interactions between different genotypes and climate, soil and farming practices yield unique berry qualities. However, the molecular basis of this phenomenon remains unclear. To dissect the basis of grapevine G×E interactions we characterized berry transcriptome plasticity, the genome methylation landscape and within-genotype allelic diversity in two genotypes cultivated in three different environments over two vintages. We identified, through a novel data-mining pipeline, genes with expression profiles that were: unaffected by genotype or environment, genotype-dependent but unaffected by the environment, environmentally-dependent regardless of genotype, and G×E-related. The G×E-related genes showed different degrees of within-cultivar allelic diversity in the two genotypes and were enriched for stress responses, signal transduction and secondary metabolism categories. Our study unraveled the mutual relationships between genotypic and environmental variables during G×E interaction in a woody perennial species, providing a reference model to explore how cultivated fruit crops respond to diverse environments. Also, the pivotal role of vineyard location in determining the performance of different varieties, by enhancing berry quality traits, was unraveled.

show abstract

Section: Methodsmentioning

confidence: 97%

“…The norisoprenoid content was determined during ripening by solid‐phase micro‐extraction and gas chromatography/mass spectrometry (GC‐MS) as previously described (De Lorenzis et al ., ). The flavonol and HCA content was determined by HPLC as previously described (De Lorenzis et al ., ). In each case, 50 berries were used for extraction.…”

Section: Methodsmentioning

confidence: 97%

Grapevine field experiments reveal the contribution of genotype, the influence of environment and the effect of their interaction (G×E) on the berry transcriptome

et al. 2018

View full text Add to dashboard Cite

show abstract

“…In this project, a total of 18,071 SNPs were selected, a third of which (4510 SNPs) identified in the Northern American species genome [24]. Several studies validated the 18k SNP set for the evaluation of genetic diversity in V. vinifera [19,23,24,26,[31][32][33][34], but the Vitis18kSNP array could also represent a potentially effective tool for rootstock characterization, due to the consistent number of SNPs detected in the Northern American species genome.…”

Section: Introductionmentioning

confidence: 99%

Genetic Diversity and Population Structure in a Vitis spp. Core Collection Investigated by SNP Markers

2020

View full text Add to dashboard Cite

Single nucleotide polymorphism (SNP) genotyping arrays are powerful tools to measure the level of genetic polymorphism within a population. The coming of next-generation sequencing technologies led to identifying thousands and millions of SNP loci useful in assessing the genetic diversity. The Vitis genotyping array, containing 18k SNP loci, has been developed and used to detect genetic diversity of Vitis vinifera germplasm. So far, this array was not validated on non-vinifera genotypes used as grapevine rootstocks. In this work, a core collection of 70 grapevine rootstocks, composed of individuals belonging to Vitis species not commonly used in the breeding programs, was genotyped using the 18k SNP genotyping array. SNP results were compared to the established SSR (Simple Sequence Repeat) markers in terms of heterozygosity and genetic structure of the core collection. Genotyping array has proved to be a valuable tool for genotyping of grapevine rootstocks, with more than 90% of SNPs successfully amplified. Structure analysis detected a high degree of admixed genotypes, supported by the complex genetic background of non-vinifera germplasm. Moreover, SNPs clearly differentiated non-vinifera and vinifera germplasm. These results represent a first step in studying the genetic diversity of non-conventional breeding material that will be used to select rootstocks with high tolerance to limiting environmental conditions.

show abstract

“…vinifera ) cultivars account for 50% of the totally used acreage for commercial production (OIV 2017). Within these predominant cultivars, intra-varietal genetic variation, caused by somatic mutation (De Lorenzis et al 2017), is exploitable to select clonal variants of the desired cluster architecture phenotype.…”

Section: Introductionmentioning

confidence: 99%

Same same but different: Cluster architecture variation in five ‘Pinot Noir’ clonal selection lines correlates with differential expression of three transcription factors and further growth related genes

Richter

Rossmann

Gabriel

et al. 2020

Preprint

View full text Add to dashboard Cite

Same same but different: Cluster architecture variation in five 'Pinot Noir' clonal3 selection lines correlates with differential expression of three transcription factors and 4 further growth related genes 5 6 Abstract 2 3Grapevine (Vitis vinifera L.) is an economically important crop that needs to comply with high quality standards 2 4 for fruit, juice and wine production. Intense plant protection is required to avoid losses caused by fungal 2 5infections. Grapevine cultivars with loose cluster architecture enable to reduce protective chemical treatments 2 6 due to their enhanced resilience against fungal infections such as Botrytis cinerea induced grey mold. A recent 2 7 study identified transcription factor gene VvGRF4 as determinant of inflorescence structure in exemplary 2 8 samples of loose and compact quasi-isogenic 'Pinot Noir' clones. Here, we extended the analysis to 12 2 9 differently clustered 'Pinot Noir' clones originating from five different clonal selection programs. Differential 3 0 gene expression of these clones was studied in three different locations over three seasons in demonstrative 3 1 vineyards. Two phenotypically contrasting clones were grown at all three locations and served for 3 2 standardization of downstream analyses. Differential gene expression data were correlated to the phenotypic 3 3 variation of cluster architecture sub-traits. A consistent differential gene expression of VvGRF4 in relation to 3 4 loose clusters was verified over the different environments and in the extended set of 'Pinot Noir' clones. In 3 5 addition, 14 more genes with consistent expression differences between loosely and compactly clustered clones 3 6 independent from season and location were identified. These genes show annotations related to cellular growth, 3 7 cell wall extension, cell division and auxin metabolism. They include two more transcription factor genes.3 8 3 9

show abstract

Study of intra-varietal diversity in biotypes of Aglianico and Muscat of Alexandria (Vitis viniferaL.) cultivars

Cited by 17 publications

References 46 publications

Grapevine field experiments reveal the contribution of genotype, the influence of environment and the effect of their interaction (G×E) on the berry transcriptome

Grapevine field experiments reveal the contribution of genotype, the influence of environment and the effect of their interaction (G×E) on the berry transcriptome

Genetic Diversity and Population Structure in a Vitis spp. Core Collection Investigated by SNP Markers

Same same but different: Cluster architecture variation in five ‘Pinot Noir’ clonal selection lines correlates with differential expression of three transcription factors and further growth related genes

Contact Info

Product

Resources

About