Literature DB >> 22158761

Visualizing the genetic landscape of Arabidopsis seed performance.

Ronny Viktor Louis Joosen1, Danny Arends, Leo Albert Jan Willems, Wilco Ligterink, Ritsert C Jansen, Henk W M Hilhorst.   

Abstract

Perfect timing of germination is required to encounter optimal conditions for plant survival and is the result of a complex interaction between molecular processes, seed characteristics, and environmental cues. To detangle these processes, we made use of natural genetic variation present in an Arabidopsis (Arabidopsis thaliana) Bayreuth × Shahdara recombinant inbred line population. For a detailed analysis of the germination response, we characterized rate, uniformity, and maximum germination and discuss the added value of such precise measurements. The effects of after-ripening, stratification, and controlled deterioration as well as the effects of salt, mannitol, heat, cold, and abscisic acid (ABA) with and without cold stratification were analyzed for these germination characteristics. Seed morphology (size and length) of both dry and imbibed seeds was quantified by using image analysis. For the overwhelming amount of data produced in this study, we developed new approaches to perform and visualize high-throughput quantitative trait locus (QTL) analysis. We show correlation of trait data, (shared) QTL positions, and epistatic interactions. The detection of similar loci for different stresses indicates that, often, the molecular processes regulating environmental responses converge into similar pathways. Seven major QTL hotspots were confirmed using a heterogeneous inbred family approach. QTLs colocating with previously reported QTLs and well-characterized mutants are discussed. A new connection between dormancy, ABA, and a cripple mucilage formation due to a naturally occurring mutation in the MUCILAGE-MODIFIED2 gene is proposed, and this is an interesting lead for further research on the regulatory role of ABA in mucilage production and its multiple effects on germination parameters.

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Year:  2011        PMID: 22158761      PMCID: PMC3271751          DOI: 10.1104/pp.111.186676

Source DB:  PubMed          Journal:  Plant Physiol        ISSN: 0032-0889            Impact factor:   8.340


  51 in total

Review 1.  Abscisic acid signaling in seeds and seedlings.

Authors:  Ruth R Finkelstein; Srinivas S L Gampala; Christopher D Rock
Journal:  Plant Cell       Date:  2002       Impact factor: 11.277

2.  Natural variation in Arabidopsis thaliana revealed a genetic network controlling germination under salt stress.

Authors:  Navot Galpaz; Matthieu Reymond
Journal:  PLoS One       Date:  2010-12-20       Impact factor: 3.240

3.  System-wide molecular evidence for phenotypic buffering in Arabidopsis.

Authors:  Jingyuan Fu; Joost J B Keurentjes; Harro Bouwmeester; Twan America; Francel W A Verstappen; Jane L Ward; Michael H Beale; Ric C H de Vos; Martijn Dijkstra; Richard A Scheltema; Frank Johannes; Maarten Koornneef; Dick Vreugdenhil; Rainer Breitling; Ritsert C Jansen
Journal:  Nat Genet       Date:  2009-01-25       Impact factor: 38.330

4.  DREB2C interacts with ABF2, a bZIP protein regulating abscisic acid-responsive gene expression, and its overexpression affects abscisic acid sensitivity.

Authors:  Sun-Ji Lee; Jung-Youn Kang; Hee-Jin Park; Myoung Duck Kim; Min Seok Bae; Hyung-In Choi; Soo Young Kim
Journal:  Plant Physiol       Date:  2010-04-15       Impact factor: 8.340

5.  Leaf yellowing and anthocyanin accumulation are two genetically independent strategies in response to nitrogen limitation in Arabidopsis thaliana.

Authors:  Céline Diaz; Vera Saliba-Colombani; Olivier Loudet; Pierre Belluomo; Laurence Moreau; Françoise Daniel-Vedele; Jean-François Morot-Gaudry; Céline Masclaux-Daubresse
Journal:  Plant Cell Physiol       Date:  2005-11-12       Impact factor: 4.927

6.  Advances in genetical genomics of plants.

Authors:  R V L Joosen; W Ligterink; H W M Hilhorst; J J B Keurentjes
Journal:  Curr Genomics       Date:  2009-12       Impact factor: 2.236

7.  Phytochromes differentially regulate seed germination responses to light quality and temperature cues during seed maturation.

Authors:  Jennifer M Dechaine; Gary Gardner; Cynthia Weinig
Journal:  Plant Cell Environ       Date:  2009-05-15       Impact factor: 7.228

8.  GERMINATOR: a software package for high-throughput scoring and curve fitting of Arabidopsis seed germination.

Authors:  Ronny V L Joosen; Jan Kodde; Leo A J Willems; Wilco Ligterink; Linus H W van der Plas; Henk W M Hilhorst
Journal:  Plant J       Date:  2009-12-22       Impact factor: 6.417

9.  Quantitative trait loci analysis of nitrogen use efficiency in Arabidopsis.

Authors:  Olivier Loudet; Sylvain Chaillou; Patricia Merigout; Joël Talbotec; Françoise Daniel-Vedele
Journal:  Plant Physiol       Date:  2003-01       Impact factor: 8.340

10.  Analysis of natural allelic variation at seed dormancy loci of Arabidopsis thaliana.

Authors:  Carlos Alonso-Blanco; Leónie Bentsink; Corrie J Hanhart; Hetty Blankestijn-de Vries; Maarten Koornneef
Journal:  Genetics       Date:  2003-06       Impact factor: 4.562

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  17 in total

1.  Epigenetic basis of morphological variation and phenotypic plasticity in Arabidopsis thaliana.

Authors:  Rik Kooke; Frank Johannes; René Wardenaar; Frank Becker; Mathilde Etcheverry; Vincent Colot; Dick Vreugdenhil; Joost J B Keurentjes
Journal:  Plant Cell       Date:  2015-02-10       Impact factor: 11.277

2.  Identifying genotype-by-environment interactions in the metabolism of germinating arabidopsis seeds using generalized genetical genomics.

Authors:  Ronny Viktor Louis Joosen; Danny Arends; Yang Li; Leo A J Willems; Joost J B Keurentjes; Wilco Ligterink; Ritsert C Jansen; Henk W M Hilhorst
Journal:  Plant Physiol       Date:  2013-04-19       Impact factor: 8.340

3.  Natural variation for seed longevity and seed dormancy are negatively correlated in Arabidopsis.

Authors:  Thu-Phuong Nguyen; Paul Keizer; Fred van Eeuwijk; Sjef Smeekens; Leónie Bentsink
Journal:  Plant Physiol       Date:  2012-10-18       Impact factor: 8.340

Review 4.  A review of imaging techniques for plant phenotyping.

Authors:  Lei Li; Qin Zhang; Danfeng Huang
Journal:  Sensors (Basel)       Date:  2014-10-24       Impact factor: 3.576

5.  Pheno2Geno - High-throughput generation of genetic markers and maps from molecular phenotypes for crosses between inbred strains.

Authors:  Konrad Zych; Yang Li; Joeri K van der Velde; Ronny V L Joosen; Wilco Ligterink; Ritsert C Jansen; Danny Arends
Journal:  BMC Bioinformatics       Date:  2015-02-19       Impact factor: 3.169

6.  An Automated Method for High-Throughput Screening of Arabidopsis Rosette Growth in Multi-Well Plates and Its Validation in Stress Conditions.

Authors:  Nuria De Diego; Tomáš Fürst; Jan F Humplík; Lydia Ugena; Kateřina Podlešáková; Lukáš Spíchal
Journal:  Front Plant Sci       Date:  2017-10-04       Impact factor: 5.753

7.  Probability genotype imputation method and integrated weighted lasso for QTL identification.

Authors:  Nino Demetrashvili; Edwin R Van den Heuvel; Ernst C Wit
Journal:  BMC Genet       Date:  2013-12-30       Impact factor: 2.797

8.  Interaction between parental environment and genotype affects plant and seed performance in Arabidopsis.

Authors:  Hanzi He; Deborah de Souza Vidigal; L Basten Snoek; Sabine Schnabel; Harm Nijveen; Henk Hilhorst; Leónie Bentsink
Journal:  J Exp Bot       Date:  2014-09-18       Impact factor: 6.992

9.  Trait to gene analysis reveals that allelic variation in three genes determines seed vigour.

Authors:  Karl Morris; Guy C Barker; Peter G Walley; James R Lynn; William E Finch-Savage
Journal:  New Phytol       Date:  2016-07-19       Impact factor: 10.151

10.  Identification of minor effect QTLs for plant architecture related traits using super high density genotyping and large recombinant inbred population in maize (Zea mays).

Authors:  Baobao Wang; Han Liu; Zhipeng Liu; Xiaomei Dong; Jinjie Guo; Wei Li; Jing Chen; Chi Gao; Yanbin Zhu; Xinmei Zheng; Zongliang Chen; Jian Chen; Weibin Song; Andrew Hauck; Jinsheng Lai
Journal:  BMC Plant Biol       Date:  2018-01-18       Impact factor: 4.215

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