Literature DB >> 19414564

Unraveling the complex trait of crop yield with quantitative trait loci mapping in Brassica napus.

Jiaqin Shi1, Ruiyuan Li, Dan Qiu, Congcong Jiang, Yan Long, Colin Morgan, Ian Bancroft, Jianyi Zhao, Jinling Meng.   

Abstract

Yield is the most important and complex trait for the genetic improvement of crops. Although much research into the genetic basis of yield and yield-associated traits has been reported, in each such experiment the genetic architecture and determinants of yield have remained ambiguous. One of the most intractable problems is the interaction between genes and the environment. We identified 85 quantitative trait loci (QTL) for seed yield along with 785 QTL for eight yield-associated traits, from 10 natural environments and two related populations of rapeseed. A trait-by-trait meta-analysis revealed 401 consensus QTL, of which 82.5% were clustered and integrated into 111 pleiotropic unique QTL by meta-analysis, 47 of which were relevant for seed yield. The complexity of the genetic architecture of yield was demonstrated, illustrating the pleiotropy, synthesis, variability, and plasticity of yield QTL. The idea of estimating indicator QTL for yield QTL and identifying potential candidate genes for yield provides an advance in methodology for complex traits.

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Year:  2009        PMID: 19414564      PMCID: PMC2710164          DOI: 10.1534/genetics.109.101642

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  45 in total

1.  Quantitative trait loci: a meta-analysis.

Authors:  B Goffinet; S Gerber
Journal:  Genetics       Date:  2000-05       Impact factor: 4.562

2.  Fine mapping dissects pleiotropic growth quantitative trait locus into linked loci.

Authors:  Julian K Christians; Laura K Senger
Journal:  Mamm Genome       Date:  2007-05-31       Impact factor: 2.957

3.  Quantitative trait loci associated with adaptation to Mediterranean dryland conditions in barley.

Authors:  M von Korff; S Grando; A Del Greco; D This; M Baum; S Ceccarelli
Journal:  Theor Appl Genet       Date:  2008-07-11       Impact factor: 5.699

4.  Deletion in a gene associated with grain size increased yields during rice domestication.

Authors:  Ayahiko Shomura; Takeshi Izawa; Kaworu Ebana; Takeshi Ebitani; Hiromi Kanegae; Saeko Konishi; Masahiro Yano
Journal:  Nat Genet       Date:  2008-07-06       Impact factor: 38.330

5.  Control of rice grain-filling and yield by a gene with a potential signature of domestication.

Authors:  Ertao Wang; Jianjun Wang; Xudong Zhu; Wei Hao; Linyou Wang; Qun Li; Lixia Zhang; Wei He; Baorong Lu; Hongxuan Lin; Hong Ma; Guiquan Zhang; Zuhua He
Journal:  Nat Genet       Date:  2008-09-28       Impact factor: 38.330

6.  Dissecting a wheat QTL for yield present in a range of environments: from the QTL to candidate genes.

Authors:  Sa Quarrie; S Pekic Quarrie; R Radosevic; D Rancic; A Kaminska; J D Barnes; M Leverington; C Ceoloni; D Dodig
Journal:  J Exp Bot       Date:  2006-07-10       Impact factor: 6.992

7.  Substitution mapping of dth1.1, a flowering-time quantitative trait locus (QTL) associated with transgressive variation in rice, reveals multiple sub-QTL.

Authors:  Michael J Thomson; Jeremy D Edwards; Endang M Septiningsih; Sandra E Harrington; Susan R McCouch
Journal:  Genetics       Date:  2006-02-01       Impact factor: 4.562

8.  Epistasis for three grain yield components in rice (Oryza sativa L.).

Authors:  Z Li; S R Pinson; W D Park; A H Paterson; J W Stansel
Journal:  Genetics       Date:  1997-02       Impact factor: 4.562

9.  Developmental genes have pleiotropic effects on plant morphology and source capacity, eventually impacting on seed protein content and productivity in pea.

Authors:  Judith Burstin; Pascal Marget; Myriam Huart; Annie Moessner; Brigitte Mangin; Christiane Duchene; Bruno Desprez; Nathalie Munier-Jolain; Gérard Duc
Journal:  Plant Physiol       Date:  2007-04-20       Impact factor: 8.340

10.  MetaQTL: a package of new computational methods for the meta-analysis of QTL mapping experiments.

Authors:  Jean-Baptiste Veyrieras; Bruno Goffinet; Alain Charcosset
Journal:  BMC Bioinformatics       Date:  2007-02-08       Impact factor: 3.169

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  137 in total

1.  A genetic linkage map of Brassica carinata constructed with a doubled haploid population.

Authors:  Shaomin Guo; Jun Zou; Ruiyan Li; Yan Long; Sheng Chen; Jinling Meng
Journal:  Theor Appl Genet       Date:  2012-06-06       Impact factor: 5.699

2.  Identification of a major QTL for silique length and seed weight in oilseed rape (Brassica napus L.).

Authors:  Pu Yang; Chang Shu; Lin Chen; Jinsong Xu; Jiangsheng Wu; Kede Liu
Journal:  Theor Appl Genet       Date:  2012-03-11       Impact factor: 5.699

3.  Genome-wide association analysis to identify chromosomal regions determining components of earliness in wheat.

Authors:  J Le Gouis; J Bordes; C Ravel; E Heumez; S Faure; S Praud; N Galic; C Remoué; F Balfourier; V Allard; M Rousset
Journal:  Theor Appl Genet       Date:  2011-11-08       Impact factor: 5.699

4.  Genetic and correlation analysis of silique-traits in Brassica napus L. by quantitative trait locus mapping.

Authors:  Liwu Zhang; Guangsheng Yang; Pingwu Liu; Dengfeng Hong; Shipeng Li; Qingbiao He
Journal:  Theor Appl Genet       Date:  2010-08-05       Impact factor: 5.699

5.  Three-point appraisal of genetic linkage maps.

Authors:  W R Gilks; S J Welham; J Wang; S J Clark; G J King
Journal:  Theor Appl Genet       Date:  2012-06-29       Impact factor: 5.699

6.  Molecular-cytogenetic characterization of C-genome chromosome substitution lines in Brassica juncea (L.) Czern and Coss.

Authors:  Mehak Gupta; Annaliese S Mason; Jacqueline Batley; Sakshi Bharti; Shashi Banga; Surinder S Banga
Journal:  Theor Appl Genet       Date:  2016-02-25       Impact factor: 5.699

7.  Association mapping of six yield‑related traits in rapeseed (Brassica napus L.).

Authors:  Dongfang Cai; Yingjie Xiao; Wei Yang; Wei Ye; Bo Wang; Muhammad Younas; Jiangsheng Wu; Kede Liu
Journal:  Theor Appl Genet       Date:  2014-01       Impact factor: 5.699

8.  Integrating sorghum whole genome sequence information with a compendium of sorghum QTL studies reveals uneven distribution of QTL and of gene-rich regions with significant implications for crop improvement.

Authors:  E S Mace; D R Jordan
Journal:  Theor Appl Genet       Date:  2011-04-12       Impact factor: 5.699

9.  A triallelic genetic male sterility locus in Brassica napus: an integrative strategy for its physical mapping and possible local chromosome evolution around it.

Authors:  Wei Lu; Jun Liu; Qiang Xin; Lili Wan; Dengfeng Hong; Guangsheng Yang
Journal:  Ann Bot       Date:  2012-12-13       Impact factor: 4.357

10.  BnaC9.SMG7b Functions as a Positive Regulator of the Number of Seeds per Silique in Brassica napus by Regulating the Formation of Functional Female Gametophytes.

Authors:  Shipeng Li; Lei Chen; Liwu Zhang; Xi Li; Ying Liu; Zhikun Wu; Faming Dong; Lili Wan; Kede Liu; Dengfeng Hong; Guangsheng Yang
Journal:  Plant Physiol       Date:  2015-10-22       Impact factor: 8.340

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