Literature DB >> 24556794

Heritability and identification of QTLs and underlying candidate genes associated with the architecture of the grapevine cluster (Vitis vinifera L.).

J Correa1, M Mamani, C Muñoz-Espinoza, D Laborie, C Muñoz, M Pinto, P Hinrichsen.   

Abstract

KEY MESSAGE: We have identified 19 QTLs for rachis architecture, a key and complex trait for grapevine production. Fifty out of 1,173 genes underlying these QTLs are candidates to be further explored. In the table grape industry, the rachis architecture has economic and management implications. Therefore, understanding the genetics of this trait is key for its breeding. The aim of this work was to identify genetic determinants of traits associated with the cluster architecture. Characterisations of eight traits was performed on a 'Ruby Seedless' × 'Sultanina' crossing (F1: n = 137) during three seasons, with and without gibberellic acid (GA3) applications. The genotypic effects and the genotype × GA3 interactions were significant for several traits. Rachis length (rl), lateral shoulder length and node number along the central axis were the most prominent traits. On average, the heritability of these traits was ~71 %, with heritability of rl being 76 % as estimated under different seasons. Quantitative trait loci (QTLs) analyses showed that linkage group 5 (LG5) and LG18 harboured the largest number of QTLs for these traits. According to the variance explained, the main QTL (corresponding to rl) was found on LG9. These QTLs were supported mainly by a paternal additive effect and revealed possible pleiotropic effects. Based on the grapevine reference genome, we identified 1,173 genes located under these QTL confidence intervals. Fifty of the 891 annotated genes of this list were selected for their further characterisation because of their possible participation in the rachis architecture. In conclusion, the QTLs detected indicate that these traits and their GA3 responsiveness have a clear genetic basis. Due to the percentage of the total variance explained, they are good candidates to participate in the genetic determination of the cluster architecture.

Entities:  

Mesh:

Year:  2014        PMID: 24556794     DOI: 10.1007/s00122-014-2286-y

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  53 in total

Review 1.  Aquaporins. A molecular entry into plant water relations.

Authors:  C Maurel; M J Chrispeels
Journal:  Plant Physiol       Date:  2001-01       Impact factor: 8.340

2.  Model choice in gene mapping: what and why.

Authors:  Mikko J Sillanpää; Jukka Corander
Journal:  Trends Genet       Date:  2002-06       Impact factor: 11.639

3.  Genetic and QTL analysis of maize tassel and ear inflorescence architecture.

Authors:  N Upadyayula; H S da Silva; M O Bohn; T R Rocheford
Journal:  Theor Appl Genet       Date:  2006-01-05       Impact factor: 5.699

4.  QTL analysis for fruit yield components in table grapes (Vitis vinifera).

Authors:  G Fanizza; F Lamaj; L Costantini; R Chaabane; M S Grando
Journal:  Theor Appl Genet       Date:  2005-07-02       Impact factor: 5.699

5.  Linkage of Fruit Shape and Color Genes in Capsicum.

Authors:  P A Peterson
Journal:  Genetics       Date:  1959-05       Impact factor: 4.562

6.  Genes and QTLs controlling inflorescence and stem branch architecture in Leymus (Poaceae: Triticeae) Wildrye.

Authors:  Steven R Larson; Elizabeth A Kellogg; Kevin B Jensen
Journal:  J Hered       Date:  2013-06-12       Impact factor: 2.645

7.  A conserved genetic pathway determines inflorescence architecture in Arabidopsis and rice.

Authors:  Chang Liu; Zhi Wei Norman Teo; Yang Bi; Shiyong Song; Wanyan Xi; Xiaobei Yang; Zhongchao Yin; Hao Yu
Journal:  Dev Cell       Date:  2013-03-25       Impact factor: 12.270

8.  agriGO: a GO analysis toolkit for the agricultural community.

Authors:  Zhou Du; Xin Zhou; Yi Ling; Zhenhai Zhang; Zhen Su
Journal:  Nucleic Acids Res       Date:  2010-04-30       Impact factor: 16.971

9.  Molecular, genetic and transcriptional evidence for a role of VvAGL11 in stenospermocarpic seedlessness in grapevine.

Authors:  Nilo Mejía; Braulio Soto; Marcos Guerrero; Ximena Casanueva; Cléa Houel; María de Los Ángeles Miccono; Rodrigo Ramos; Loïc Le Cunff; Jean-Michel Boursiquot; Patricio Hinrichsen; Anne-Françoise Adam-Blondon
Journal:  BMC Plant Biol       Date:  2011-03-29       Impact factor: 4.215

10.  Whole genome comparison between table and wine grapes reveals a comprehensive catalog of structural variants.

Authors:  Alex Di Genova; Andrea Miyasaka Almeida; Claudia Muñoz-Espinoza; Paula Vizoso; Dante Travisany; Carol Moraga; Manuel Pinto; Patricio Hinrichsen; Ariel Orellana; Alejandro Maass
Journal:  BMC Plant Biol       Date:  2014-01-07       Impact factor: 4.215

View more
  18 in total

1.  Association analysis of grapevine bunch traits using a comprehensive approach.

Authors:  Javier Tello; Rafael Torres-Pérez; Jérôme Grimplet; Javier Ibáñez
Journal:  Theor Appl Genet       Date:  2015-11-04       Impact factor: 5.699

2.  GA3 application in grapes (Vitis vinifera L.) modulates different sets of genes at cluster emergence, full bloom, and berry stage as revealed by RNA sequence-based transcriptome analysis.

Authors:  Anuradha Upadhyay; Smita Maske; Satisha Jogaiah; Narendra Y Kadoo; Vidya S Gupta
Journal:  Funct Integr Genomics       Date:  2018-04-06       Impact factor: 3.410

Review 3.  Perspectives and recent progress of genome-wide association studies (GWAS) in fruits.

Authors:  Ghassan Zahid; Yıldız Aka Kaçar; Dicle Dönmez; Ayzin Küden; Tommaso Giordani
Journal:  Mol Biol Rep       Date:  2022-01-22       Impact factor: 2.742

4.  Construction of a high-density genetic map and QTLs mapping for sugars and acids in grape berries.

Authors:  Jie Chen; Nian Wang; Lin-Chuan Fang; Zhen-Chang Liang; Shao-Hua Li; Ben-Hong Wu
Journal:  BMC Plant Biol       Date:  2015-02-03       Impact factor: 4.215

5.  Evolution of Catkins: Inflorescence Morphology of Selected Salicaceae in an Evolutionary and Developmental Context.

Authors:  Quentin C B Cronk; Isabelle Needham; Paula J Rudall
Journal:  Front Plant Sci       Date:  2015-12-07       Impact factor: 5.753

6.  Extended diversity analysis of cultivated grapevine Vitis vinifera with 10K genome-wide SNPs.

Authors:  Valérie Laucou; Amandine Launay; Roberto Bacilieri; Thierry Lacombe; Anne-Françoise Adam-Blondon; Aurélie Bérard; Aurélie Chauveau; Maria Teresa de Andrés; Ludger Hausmann; Javier Ibáñez; Marie-Christine Le Paslier; David Maghradze; José Miguel Martinez-Zapater; Erika Maul; Maharajah Ponnaiah; Reinhard Töpfer; Jean-Pierre Péros; Jean-Michel Boursiquot
Journal:  PLoS One       Date:  2018-02-08       Impact factor: 3.240

7.  High-density genetic linkage map construction and cane cold hardiness QTL mapping for Vitis based on restriction site-associated DNA sequencing.

Authors:  Kai Su; Huiyang Xing; Yinshan Guo; Fangyuan Zhao; Zhendong Liu; Kun Li; Yuanyuan Li; Xiuwu Guo
Journal:  BMC Genomics       Date:  2020-06-22       Impact factor: 3.969

8.  Identification of stable QTLs for vegetative and reproductive traits in the microvine (Vitis vinifera L.) using the 18 K Infinium chip.

Authors:  Cléa Houel; Ratthaphon Chatbanyong; Agnès Doligez; Markus Rienth; Serena Foria; Nathalie Luchaire; Catherine Roux; Angélique Adivèze; Gilbert Lopez; Marc Farnos; Anne Pellegrino; Patrice This; Charles Romieu; Laurent Torregrosa
Journal:  BMC Plant Biol       Date:  2015-08-19       Impact factor: 4.215

9.  Transcriptome profiling of grapevine seedless segregants during berry development reveals candidate genes associated with berry weight.

Authors:  Claudia Muñoz-Espinoza; Alex Di Genova; José Correa; Romina Silva; Alejandro Maass; Mauricio González-Agüero; Ariel Orellana; Patricio Hinrichsen
Journal:  BMC Plant Biol       Date:  2016-04-26       Impact factor: 4.215

Review 10.  Genomics-assisted breeding in fruit trees.

Authors:  Hiroyoshi Iwata; Mai F Minamikawa; Hiromi Kajiya-Kanegae; Motoyuki Ishimori; Takeshi Hayashi
Journal:  Breed Sci       Date:  2016-01-01       Impact factor: 2.086

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.