Molecular genetic map construction and QTL analysis of fruit maturation period in grapevine

Zhao, Yuhui; Guo, Yinshan; Ma, Huihui; Guo, Xuewu

doi:10.4238/gmr.15028040

Cited by 8 publications

(4 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, the position of this trait differs between previous studies and Duchêne et al 39 ., although all are located on chromosome 16. CMa3, one of the QTLs related to grape maturation period, was detected on chromosome 16 near the marker UDV052 based on a hybrid (F1) population in which an early-maturing female parent “87-1” was crossed with a late-maturing male parent ‘9-22’ 40 . Zyprian et al 24 .…”

Section: Discussionmentioning

confidence: 99%

Genome-wide association study of berry-related traits in grape [Vitis vinifera L.] based on genotyping-by-sequencing markers

Guo

Zhao

et al. 2019

Hortic Res

View full text Add to dashboard Cite

Deciphering the genetic control of grape berry traits is crucial for optimizing yield, fruit quality, and consumer acceptability. In this study, an association panel of 179 grape genotypes comprising a mixture of ancient cultivars, landraces, and modern varieties collected worldwide were genotyped with genotyping-by-sequencing using a genome-wide association approach based on 32,311 single-nucleotide polymorphism (SNP) markers. Genome-wide efficient mixed-model association was selected as the optimal statistical model based on the results of known control loci of grape berry color traits. Many of the associated SNPs identified in this study were in accordance with the previous QTL analyses using biparental mapping. The grape skin color locus was found to be associated with a mybA transcription factor on chromosome 2. Two strong and distinct association signals associated with berry development periods were found on chromosome 16. Most candidate genes of the interval were highlighted as receptor-like protein kinase. For berry weight, significant association loci were identified on chromosome 18, as previously known, and on chromosome 19 and chromosome 17, as newly mapped. Berry flesh texture was newly located on chromosome 16; candidate genes in the interval were related to calcium. Berry flavor was determined on chromosome 5. Genomic regions were further investigated to reveal candidate genes. In this work, we identified interesting genetic determinants of grape berry-related traits. The identification of the markers closely associated with these berry traits may be useful for grape molecular breeding.

show abstract

Section: Discussionmentioning

confidence: 99%

Genome-wide association study of berry-related traits in grape [Vitis vinifera L.] based on genotyping-by-sequencing markers

Guo

Zhao

et al. 2019

Hortic Res

View full text Add to dashboard Cite

show abstract

“…Detection of QTLs in grapes has mostly been used to investigate the genes associated with various complex traits, such as resistance to diseases and blights like powdery and downy mildew and Pierce's disease (Fischer et al 2004, Barker et al 2005, Merdinoglu et al 2005, Riaz et al 2006, 2009, 2011, Welter et al 2007, Hoffmann et al 2008, Bellin et al 2009, Marguerit et al 2009, Zhang et al 2009, Blasi et al 2011, Moreira et al 2011). It has also been used to search for genes related to quality traits such as berry size and seedlessness (Doligez et al 2013, Cabezas et al 2006, Mejía et al 2007, 2011, Costantini et al 2008), phenology (Duchêne et al 2012, Grzeskowiak et al 2013), anthocyanin concentration and tannins (Fournier‐Level et al 2009, Huang et al 2012), aroma (Eibach et al 2003, Battilana et al 2009, Duchêne et al 2009), fertility (Doligez et al 2010), bunch architecture (Correa et al 2014), firmness (Correa et al 2016, Jiang et al 2020) as well as timing and duration of flowering, veraison and ripening (Fischer et al 2004, Costantini et al 2008, Marguerit et al 2009, Zhao et al 2016). Recently QTLs related to sugar and organic acid concentration in grape have been reported using different types of populations.…”

Section: Introductionmentioning

confidence: 99%

Identification of stable quantitative trait loci and candidate genes for sweetness and acidity in tablegrape using a highly saturated single‐nucleotide polymorphism‐based linkage map

Mamani

López

Correa

et al. 2021

Australian Journal of Grape and Wine Research

View full text Add to dashboard Cite

Background and Aims Identifying the genes that participate in the sweetness and acidity of the berry is key, because these traits are quintessential to the flavour and quality of fresh grapes and wine. In this study we focused on the identification of genomic regions that host genes associated with sweetness and acidity in tablegrapes. Methods and Results A highly saturated genetic map was prepared using a Ruby Seedless × Sultanina cross (RxS; n = 138) genotyped using an SNPlex‐type platform, and quantitative trait loci (QTLs) were mapped. In the integrated map of this population, 1731 markers were distributed along the 19 linkage groups (LGs) of the species. Three significant QTLs, two in LG5 and one in LG8, were associated with fructose/glucose ratio, TA and tartaric acid concentration; these QTLs explained up to 20% of the phenotypic variance for these traits. Eight candidate genes located within the confidence intervals of the sugar and TA QTLs were chosen and their expression profiles analysed from flowering to berry ripening. A Genome‐Wide Association Study (GWAS) analysis revealed the association of single‐nucleotide polymorphisms in the same regions as QTLs. Conclusions Quantitative trait loci significant for sugar and acidity were identified on a tablegrape high‐quality genetic map; furthermore, an association between acidity or sugar concentration and expression changes for candidate genes was also observed. Significance of the Study These findings could become the basis to develop selection tools for the breeding of these traits in tablegrape.

show abstract

“…GWAS analyses have also been already performed for quality traits (Laucou et al, 2018) and early ripening (Xu et al, 2016). Studies concerning all aspects of its cultivation including disease resistance (Blasi et al, 2011; Rex et al, 2014; Pap et al, 2016), quality traits in berries (Cabezas et al, 2006; Chen et al, 2015; Yang et al, 2016); growth and reproductive traits (Houel et al, 2015; Zhao et al, 2016), yield and agronomic traits such as adaptation to water deficit and lime induced iron chlorosis (Viana et al, 2013; Coupel-Ledru et al, 2014) and, particularly, the adaptation of grapevine varieties to a climate change scenario (Duchene et al, 2012), have been carried out. To this respect, GWAS studies along with the analysis of population structures have shown that LD in the domesticated grapevine is low, even at short ranges, but persists above background levels, set around 3 kb (Myles et al, 2010; Nicolas et al, 2016).…”

Section: Selection Of Improved Cultivarsmentioning

confidence: 99%

Facing Climate Change: Biotechnology of Iconic Mediterranean Woody Crops

et al. 2019

View full text Add to dashboard Cite

The Mediterranean basin is especially sensitive to the adverse outcomes of climate change and especially to variations in rainfall patterns and the incidence of extremely high temperatures. These two concurring adverse environmental conditions will surely have a detrimental effect on crop performance and productivity that will be particularly severe on woody crops such as citrus, olive and grapevine that define the backbone of traditional Mediterranean agriculture. These woody species have been traditionally selected for traits such as improved fruit yield and quality or alteration in harvesting periods, leaving out traits related to plant field performance. This is currently a crucial aspect due to the progressive and imminent effects of global climate change. Although complete genome sequence exists for sweet orange ( Citrus sinensis ) and clementine ( Citrus clementina ), olive tree ( Olea europaea ) and grapevine ( Vitis vinifera ), the development of biotechnological tools to improve stress tolerance still relies on the study of the available genetic resources including interspecific hybrids, naturally occurring (or induced) polyploids and wild relatives under field conditions. To this respect, post-genomic era studies including transcriptomics, metabolomics and proteomics provide a wide and unbiased view of plant physiology and biochemistry under adverse environmental conditions that, along with high-throughput phenotyping, could contribute to the characterization of plant genotypes exhibiting physiological and/or genetic traits that are correlated to abiotic stress tolerance. The ultimate goal of precision agriculture is to improve crop productivity, in terms of yield and quality, making a sustainable use of land and water resources under adverse environmental conditions using all available biotechnological tools and high-throughput phenotyping. This review focuses on the current state-of-the-art of biotechnological tools such as high throughput –omics and phenotyping on grapevine, citrus and olive and their contribution to plant breeding programs.

show abstract

Molecular genetic map construction and QTL analysis of fruit maturation period in grapevine

Cited by 8 publications

References 42 publications

Genome-wide association study of berry-related traits in grape [Vitis vinifera L.] based on genotyping-by-sequencing markers

Genome-wide association study of berry-related traits in grape [Vitis vinifera L.] based on genotyping-by-sequencing markers

Identification of stable quantitative trait loci and candidate genes for sweetness and acidity in tablegrape using a highly saturated single‐nucleotide polymorphism‐based linkage map

Facing Climate Change: Biotechnology of Iconic Mediterranean Woody Crops

Contact Info

Product

Resources

About