Literature DB >> 18059559

Association mapping of leaf traits, flowering time, and phytate content in Brassica rapa.

Jianjun Zhao1, Maria-João Paulo, Diaan Jamar, Ping Lou, Fred van Eeuwijk, Guusje Bonnema, Dick Vreugdenhil, Maarten Koornneef.   

Abstract

Association mapping was used to investigate the genetic basis of variation within Brassica rapa, which is an important vegetable and oil crop. We analyzed the variation of phytate and phosphate levels in seeds and leaves and additional developmental and morphological traits in a set of diverse B. rapa accessions and tested association of these traits with AFLP markers. The analysis of population structure revealed four subgroups in the population. Trait values differed between these subgroups, thus defining associations between population structure and trait values, even for traits such as phytate and phosphate levels. Marker-trait associations were investigated both with and without taking population structure into account. One hundred and seventy markers were found to be associated with the observed traits without correction for population structure. Association analysis with correction for population structure led to the identification of 27 markers, 6 of which had known map positions; 3 of these were confirmed in additional QTL mapping studies.

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Year:  2007        PMID: 18059559     DOI: 10.1139/g07-078

Source DB:  PubMed          Journal:  Genome        ISSN: 0831-2796            Impact factor:   2.166


  17 in total

1.  A general method for controlling the genome-wide type I error rate in linkage and association mapping experiments in plants.

Authors:  B U Müller; B Stich; H-P Piepho
Journal:  Heredity (Edinb)       Date:  2010-10-20       Impact factor: 3.821

2.  Association mapping of quantitative disease resistance in a natural population of loblolly pine (Pinus taeda L.).

Authors:  Tania Quesada; Vikneswaran Gopal; W Patrick Cumbie; Andrew J Eckert; Jill L Wegrzyn; David B Neale; Barry Goldfarb; Dudley A Huber; George Casella; John M Davis
Journal:  Genetics       Date:  2010-07-13       Impact factor: 4.562

3.  Identification of agronomically important QTL in tetraploid potato cultivars using a marker-trait association analysis.

Authors:  Björn B D'hoop; Paul L C Keizer; M João Paulo; Richard G F Visser; Fred A van Eeuwijk; Herman J van Eck
Journal:  Theor Appl Genet       Date:  2014-01-10       Impact factor: 5.699

4.  Genetic architecture of the circadian clock and flowering time in Brassica rapa.

Authors:  P Lou; Q Xie; X Xu; C E Edwards; M T Brock; C Weinig; C R McClung
Journal:  Theor Appl Genet       Date:  2011-04-20       Impact factor: 5.699

5.  A Brassica rapa linkage map of EST-based SNP markers for identification of candidate genes controlling flowering time and leaf morphological traits.

Authors:  Feng Li; Hiroyasu Kitashiba; Kiyofumi Inaba; Takeshi Nishio
Journal:  DNA Res       Date:  2009-11-02       Impact factor: 4.458

6.  Association mapping of salt tolerance in barley (Hordeum vulgare L.).

Authors:  Nguyen Viet Long; Oene Dolstra; Marcos Malosetti; Benjamin Kilian; Andreas Graner; Richard G F Visser; C Gerard van der Linden
Journal:  Theor Appl Genet       Date:  2013-06-16       Impact factor: 5.699

7.  The patterns of population differentiation in a Brassica rapa core collection.

Authors:  Dunia Pino Del Carpio; Ram Kumar Basnet; Ric C H De Vos; Chris Maliepaard; Richard Visser; Guusje Bonnema
Journal:  Theor Appl Genet       Date:  2010-12-31       Impact factor: 5.699

8.  A naturally occurring splicing site mutation in the Brassica rapa FLC1 gene is associated with variation in flowering time.

Authors:  Yu-Xiang Yuan; Jian Wu; Ri-Fei Sun; Xiao-Wei Zhang; Dong-Hui Xu; Guusje Bonnema; Xiao-Wu Wang
Journal:  J Exp Bot       Date:  2009-02-03       Impact factor: 6.992

9.  Genome-Wide Association Study Uncover the Genetic Architecture of Salt Tolerance-Related Traits in Common Wheat (Triticum aestivum L.).

Authors:  Xiaoyan Quan; Jindong Liu; Ning Zhang; Chunjuan Xie; Hongmei Li; Xianchun Xia; Wenxing He; Yuxiang Qin
Journal:  Front Genet       Date:  2021-05-20       Impact factor: 4.599

10.  High-throughput root phenotyping screens identify genetic loci associated with root architectural traits in Brassica napus under contrasting phosphate availabilities.

Authors:  Lei Shi; Taoxiong Shi; Martin R Broadley; Philip J White; Yan Long; Jinling Meng; Fangsen Xu; John P Hammond
Journal:  Ann Bot       Date:  2012-11-21       Impact factor: 4.357

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