Literature DB >> 19346258

A strong effect of growth medium and organ type on the identification of QTLs for phytate and mineral concentrations in three Arabidopsis thaliana RIL populations.

Artak Ghandilyan1, Nadine Ilk, Corrie Hanhart, Malick Mbengue, Luis Barboza, Henk Schat, Maarten Koornneef, Mohamed El-Lithy, Dick Vreugdenhil, Matthieu Reymond, Mark G M Aarts.   

Abstract

The regulation of mineral accumulation in plants is genetically complex, with several genetic loci involved in the control of one mineral and loci affecting the accumulation of different minerals. To investigate the role of growth medium and organ type on the genetics of mineral accumulation, two existing (LerxKond, LerxAn-1) and one new (LerxEri-1) Arabidopsis thaliana Recombinant Inbred Line populations were raised on soil and hydroponics as substrates. Seeds, roots, and/or rosettes were sampled for the determination of their Ca, Fe, K, Mg, Mn, P or Zn concentrations. For seeds only, the concentration of phytate (IP6), a strong chelator of seed minerals, was determined. Correlations between minerals/IP6, populations, growth conditions, and organs were determined and mineral/IP6 concentration data were used to identify quantitative trait loci (QTLs) for these traits. A striking difference was found between QTLs identified for soil-grown versus hydroponics-grown populations and between QTLs identified for different plant organs. Three common QTLs were identified for several populations, growth conditions, and organs, one of which corresponded to the ERECTA locus, variation of which has a strong effect on plant morphology.

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Year:  2009        PMID: 19346258     DOI: 10.1093/jxb/erp084

Source DB:  PubMed          Journal:  J Exp Bot        ISSN: 0022-0957            Impact factor:   6.992


  22 in total

1.  Environmental effects on mineral accumulation in rice grains and identification of ecological specific QTLs.

Authors:  Juan Du; Dali Zeng; Biao Wang; Qian Qian; Shusong Zheng; Hong-Qing Ling
Journal:  Environ Geochem Health       Date:  2012-07-04       Impact factor: 4.609

Review 2.  What has natural variation taught us about plant development, physiology, and adaptation?

Authors:  Carlos Alonso-Blanco; Mark G M Aarts; Leonie Bentsink; Joost J B Keurentjes; Matthieu Reymond; Dick Vreugdenhil; Maarten Koornneef
Journal:  Plant Cell       Date:  2009-07-02       Impact factor: 11.277

Review 3.  Should we treat the ionome as a combination of individual elements, or should we be deriving novel combined traits?

Authors:  Ivan Baxter
Journal:  J Exp Bot       Date:  2015-02-24       Impact factor: 6.992

4.  Quantitative trait loci affecting seed mineral concentrations in Brassica napus grown with contrasting phosphorus supplies.

Authors:  Guangda Ding; Mei Yang; Yifan Hu; Yuan Liao; Lei Shi; Fangsen Xu; Jinling Meng
Journal:  Ann Bot       Date:  2010-03-17       Impact factor: 4.357

5.  Natural genetic variation in selected populations of Arabidopsis thaliana is associated with ionomic differences.

Authors:  Elizabeth Buescher; Tilman Achberger; Idris Amusan; Anthony Giannini; Cherie Ochsenfeld; Ana Rus; Brett Lahner; Owen Hoekenga; Elena Yakubova; Jeffrey F Harper; Mary Lou Guerinot; Min Zhang; David E Salt; Ivan R Baxter
Journal:  PLoS One       Date:  2010-06-14       Impact factor: 3.240

6.  Genetic analysis of potassium use efficiency in Brassica oleracea.

Authors:  P J White; J P Hammond; G J King; H C Bowen; R M Hayden; M C Meacham; W P Spracklen; M R Broadley
Journal:  Ann Bot       Date:  2009-10-08       Impact factor: 4.357

Review 7.  Ionomics: studying the social network of mineral nutrients.

Authors:  Ivan Baxter
Journal:  Curr Opin Plant Biol       Date:  2009-05-28       Impact factor: 7.834

8.  Genetic dissection of the shoot and root ionomes of Brassica napus grown with contrasting phosphate supplies.

Authors:  Wei Wang; Guangda Ding; Philip J White; Meng Wang; Jun Zou; Fangsen Xu; John P Hammond; Lei Shi
Journal:  Ann Bot       Date:  2020-06-19       Impact factor: 4.357

9.  Genetic mapping of ionomic quantitative trait loci in rice grain and straw reveals OsMOT1;1 as the putative causal gene for a molybdenum QTL qMo8.

Authors:  Chengcheng Wang; Zhong Tang; Jie-Yun Zhuang; Zhu Tang; Xin-Yuan Huang; Fang-Jie Zhao
Journal:  Mol Genet Genomics       Date:  2019-12-03       Impact factor: 3.291

10.  Genetic architecture of root and shoot ionomes in rice (Oryza sativa L.).

Authors:  Joshua N Cobb; Chen Chen; Yuxin Shi; Lyza G Maron; Danni Liu; Mike Rutzke; Anthony Greenberg; Eric Craft; Jon Shaff; Edyth Paul; Kazi Akther; Shaokui Wang; Leon V Kochian; Dabao Zhang; Min Zhang; Susan R McCouch
Journal:  Theor Appl Genet       Date:  2021-05-20       Impact factor: 5.699

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